From 657a16ec3021715a74063d0f9b47a93b2aa3b76c Mon Sep 17 00:00:00 2001 From: Luqman <27694244+pedanticdev@users.noreply.github.com> Date: Wed, 17 Dec 2025 16:13:15 +0000 Subject: [PATCH 01/33] Changelog Changelog Optimizations * MarketDataFragmentHandler: * Reduced object allocation by introducing reusable byte[] and StringBuilder buffers for SBE message processing. * Added early-return logic to skip full message decoding when sampling is active but the message won't be broadcast. * Fixed a bug in SBE decoding order for MarketDataDepth messages (traversing repeating groups before variable-length data). * MarketDataPublisher: * Replaced java.util.Random with java.util.concurrent.ThreadLocalRandom for improved concurrency performance. * Cached the isDirectMode configuration flag to avoid repeated string comparisons in the hot path. Docker Improvements * Refactored Dockerfile and Dockerfile.standard to use the ADD directive with a remote URL for downloading payara-micro.jar, replacing the previous RUN wget... commands to streamline the build layers. * Standardized JAVA_OPTS to use -Xms8g -Xmx8g in both Dockerfiles. Tests * Updated MarketDataFragmentHandlerTest assertions to be robust against standard floating-point string formatting (e.g., accepting 1.5 vs 1.5000), accommodating the removal of expensive String.format calls in the optimized handler. --- .github/workflows/ci.yml | 32 ++ .mvn/wrapper/maven-wrapper.jar | Bin 0 -> 62547 bytes .mvn/wrapper/maven-wrapper.properties | 18 + Dockerfile | 13 +- Dockerfile.standard | 13 +- keycloak/imports/jdd-poland-realm.json | 312 ------------------ pom.xml | 37 +++ postgres/init.sql | 62 ---- .../aeron/MarketDataFragmentHandler.java | 187 +++++------ .../trader/aeron/MarketDataPublisher.java | 97 ++++-- src/main/webapp/index.html | 40 ++- .../aeron/MarketDataFragmentHandlerTest.java | 186 +++++++++++ .../websocket/MarketDataBroadcasterTest.java | 160 +++++++++ 13 files changed, 635 insertions(+), 522 deletions(-) create mode 100644 .github/workflows/ci.yml create mode 100644 .mvn/wrapper/maven-wrapper.jar create mode 100644 .mvn/wrapper/maven-wrapper.properties delete mode 100644 keycloak/imports/jdd-poland-realm.json delete mode 100644 postgres/init.sql create mode 100644 src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java create mode 100644 src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..73eb9d1 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,32 @@ +name: CI/CD Pipeline + +on: + push: + branches: [ main, develop ] + pull_request: + branches: [ main, develop ] + +jobs: + build-and-test: + name: Build and Test + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v4 + + - name: Set up JDK 21 + uses: actions/setup-java@v4 + with: + java-version: '21' + distribution: 'temurin' + cache: 'maven' + + - name: Build with Maven + run: ./mvnw clean compile + + - name: Generate SBE sources + run: ./mvnw generate-sources + + - 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See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +distributionUrl=https://repo.maven.apache.org/maven2/org/apache/maven/apache-maven/3.9.6/apache-maven-3.9.6-bin.zip +wrapperUrl=https://repo.maven.apache.org/maven2/org/apache/maven/wrapper/maven-wrapper/3.2.0/maven-wrapper-3.2.0.jar diff --git a/Dockerfile b/Dockerfile index d41c266..9d02baa 100644 --- a/Dockerfile +++ b/Dockerfile @@ -24,14 +24,9 @@ LABEL description="High-frequency trading dashboard with Aeron + SBE + Payara Mi WORKDIR /opt/payara -# Download Payara Micro +# Add Payara Micro from URL ARG PAYARA_VERSION=7.2025.2 -RUN apt-get update && \ - apt-get install -y wget curl && \ - wget -q -O payara-micro.jar \ - "https://nexus.payara.fish/repository/payara-community/fish/payara/extras/payara-micro/${PAYARA_VERSION}/payara-micro-${PAYARA_VERSION}.jar" && \ - apt-get clean && \ - rm -rf /var/lib/apt/lists/* +ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/payara-micro/${PAYARA_VERSION}/payara-micro-${PAYARA_VERSION}.jar /opt/payara/payara-micro.jar # Copy WAR file from build stage COPY --from=build /app/target/*.war ROOT.war @@ -41,8 +36,8 @@ EXPOSE 8080 # Default JVM Options for Azul Platform Prime # Note: These are defaults - can be overridden via docker-compose or docker run -e # Azul Platform Prime uses C4 GC by default - no need to specify -XX:+UseZGC -ENV JAVA_OPTS="-Xms2g \ - -Xmx4g \ +ENV JAVA_OPTS="-Xms8g \ + -Xmx8g \ -Xlog:gc*:file=/opt/payara/gc.log:time,uptime:filecount=5,filesize=10M \ -XX:+UnlockDiagnosticVMOptions \ -XX:+UnlockExperimentalVMOptions \ diff --git a/Dockerfile.standard b/Dockerfile.standard index 0496ab8..55e50ea 100644 --- a/Dockerfile.standard +++ b/Dockerfile.standard @@ -24,14 +24,9 @@ LABEL description="High-frequency trading dashboard (Standard JVM Comparison)" WORKDIR /opt/payara -# Download Payara Micro +# Add Payara Micro from URL ARG PAYARA_VERSION=7.2025.2 -RUN apt-get update && \ - apt-get install -y wget curl && \ - wget -q -O payara-micro.jar \ - "https://nexus.payara.fish/repository/payara-community/fish/payara/extras/payara-micro/${PAYARA_VERSION}/payara-micro-${PAYARA_VERSION}.jar" && \ - apt-get clean && \ - rm -rf /var/lib/apt/lists/* +ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/payara-micro/${PAYARA_VERSION}/payara-micro-${PAYARA_VERSION}.jar /opt/payara/payara-micro.jar # Copy WAR file from build stage COPY --from=build /app/target/*.war ROOT.war @@ -39,8 +34,8 @@ COPY --from=build /app/target/*.war ROOT.war EXPOSE 8080 # Standard JVM Options (G1GC) -ENV JAVA_OPTS="-Xms2g \ - -Xmx4g \ +ENV JAVA_OPTS="-Xms8g \ + -Xmx8g \ -XX:+UseG1GC \ -Djava.net.preferIPv4Stack=true" diff --git a/keycloak/imports/jdd-poland-realm.json b/keycloak/imports/jdd-poland-realm.json deleted file mode 100644 index 1bb21f8..0000000 --- a/keycloak/imports/jdd-poland-realm.json +++ /dev/null @@ -1,312 +0,0 @@ -{ - "realm": "jdd-poland", - "enabled": true, - "sslRequired": "none", - "registrationAllowed": false, - "loginWithEmailAllowed": true, - "duplicateEmailsAllowed": false, - "resetPasswordAllowed": true, - "editUsernameAllowed": false, - "bruteForceProtected": true, - "permanentLockout": false, - "maxFailureWaitSeconds": 900, - "minimumQuickLoginWaitSeconds": 60, - "waitIncrementSeconds": 60, - "quickLoginCheckMilliSeconds": 1000, - "maxDeltaTimeSeconds": 43200, - "failureFactor": 5, - "accessTokenLifespan": 300, - "accessTokenLifespanForImplicitFlow": 900, - "ssoSessionIdleTimeout": 1800, - "ssoSessionMaxLifespan": 36000, - "offlineSessionIdleTimeout": 2592000, - "accessCodeLifespan": 60, - "accessCodeLifespanUserAction": 300, - "accessCodeLifespanLogin": 1800, - "roles": { - "realm": [ - { - "name": "DOCTOR", - "description": "Doctor role with full patient access" - }, - { - "name": "NURSE", - "description": "Nurse role with limited patient access" - }, - { - "name": "ADMIN", - "description": "System administrator" - }, - { - "name": "PATIENT", - "description": "Patient role with self-access only" - } - ] - }, - "clients": [ - { - "clientId": "jdd-healthcare-app", - "enabled": true, - "protocol": "openid-connect", - "publicClient": false, - "bearerOnly": false, - "standardFlowEnabled": true, - "implicitFlowEnabled": false, - "directAccessGrantsEnabled": true, - "serviceAccountsEnabled": true, - "authorizationServicesEnabled": true, - "clientAuthenticatorType": "client-secret", - "secret": "jdd-healthcare-secret-2024", - "redirectUris": [ - "http://localhost:8080/*", - "http://localhost:8080/callback" - ], - "webOrigins": [ - "http://localhost:8080" - ], - "attributes": { - "access.token.lifespan": "300", - "pkce.code.challenge.method": "S256" - }, - "protocolMappers": [ - { - "name": "roles", - "protocol": "openid-connect", - "protocolMapper": "oidc-usermodel-realm-role-mapper", - "consentRequired": false, - "config": { - "multivalued": "true", - "userinfo.token.claim": "true", - "id.token.claim": "true", - "access.token.claim": "true", - "claim.name": "groups", - "jsonType.label": "String" - } - }, - { - "name": "email", - "protocol": "openid-connect", - "protocolMapper": "oidc-usermodel-property-mapper", - "consentRequired": false, - "config": { - "userinfo.token.claim": "true", - "user.attribute": "email", - "id.token.claim": "true", - "access.token.claim": "true", - "claim.name": "email", - "jsonType.label": "String" - } - }, - { - "name": "department", - "protocol": "openid-connect", - "protocolMapper": "oidc-usermodel-attribute-mapper", - "consentRequired": false, - "config": { - "userinfo.token.claim": "true", - "user.attribute": "department", - "id.token.claim": "true", - "access.token.claim": "true", - "claim.name": "department", - "jsonType.label": "String" - } - }, - { - "name": "audience-mapper", - "protocol": "openid-connect", - "protocolMapper": "oidc-audience-mapper", - "consentRequired": false, - "config": { - "included.client.audience": "jdd-healthcare-app", - "id.token.claim": "false", - "access.token.claim": "true", - "userinfo.token.claim": "false" - } - }, - { - "name": "subject-mapper", - "protocol": "openid-connect", - "protocolMapper": "oidc-usermodel-property-mapper", - "consentRequired": false, - "config": { - "userinfo.token.claim": "true", - "user.attribute": "username", - "id.token.claim": "true", - "access.token.claim": "true", - "claim.name": "sub", - "jsonType.label": "String" - } - }, - { - "name": "upn-mapper", - "protocol": "openid-connect", - "protocolMapper": "oidc-usermodel-property-mapper", - "consentRequired": false, - "config": { - "userinfo.token.claim": "true", - "user.attribute": "username", - "id.token.claim": "true", - "access.token.claim": "true", - "claim.name": "upn", - "jsonType.label": "String" - } - } - ], - "defaultClientScopes": [ - "web-origins", - "acr", - "profile", - "roles", - "email" - ], - "optionalClientScopes": [ - "address", - "phone", - "offline_access", - "microprofile-jwt" - ] - }, - { - "clientId": "service-client", - "enabled": true, - "protocol": "openid-connect", - "publicClient": false, - "bearerOnly": false, - "standardFlowEnabled": false, - "implicitFlowEnabled": false, - "directAccessGrantsEnabled": false, - "serviceAccountsEnabled": true, - "clientAuthenticatorType": "client-secret", - "secret": "service-client-secret-2024", - "attributes": { - "access.token.lifespan": "600" - } - } - ], - "users": [ - { - "username": "dr.smith", - "enabled": true, - "email": "dr.smith@hospital.com", - "firstName": "John", - "lastName": "Smith", - "credentials": [ - { - "type": "password", - "value": "doctor123" - } - ], - "realmRoles": [ - "DOCTOR" - ], - "attributes": { - "department": [ - "Cardiology" - ], - "license": [ - "MD-12345" - ] - } - }, - { - "username": "nurse.jones", - "enabled": true, - "email": "nurse.jones@hospital.com", - "firstName": "Sarah", - "lastName": "Jones", - "credentials": [ - { - "type": "password", - "value": "nurse123" - } - ], - "realmRoles": [ - "NURSE" - ], - "attributes": { - "department": [ - "Emergency" - ], - "license": [ - "RN-67890" - ] - } - }, - { - "username": "admin", - "enabled": true, - "email": "admin@hospital.com", - "firstName": "Admin", - "lastName": "User", - "credentials": [ - { - "type": "password", - "value": "admin123" - } - ], - "realmRoles": [ - "ADMIN" - ] - }, - { - "username": "patient.doe", - "enabled": true, - "email": "patient.doe@email.com", - "firstName": "Jane", - "lastName": "Doe", - "credentials": [ - { - "type": "password", - "value": "patient123" - } - ], - "realmRoles": [ - "PATIENT" - ], - "attributes": { - "patientId": [ - "P-001" - ], - "dateOfBirth": [ - "1985-05-15" - ] - } - } - ], - "requiredActions": [ - { - "alias": "CONFIGURE_TOTP", - "name": "Configure OTP", - "providerId": "CONFIGURE_TOTP", - "enabled": true, - "defaultAction": false, - "priority": 10 - }, - { - "alias": "UPDATE_PASSWORD", - "name": "Update Password", - "providerId": "UPDATE_PASSWORD", - "enabled": true, - "defaultAction": true, - "priority": 30 - } - ], - "authenticationFlows": [ - { - "alias": "browser", - "description": "browser based authentication", - "providerId": "basic-flow", - "topLevel": true, - "builtIn": true, - "authenticationExecutions": [] - } - ], - "browserSecurityHeaders": { - "contentSecurityPolicy": "frame-src 'self'; frame-ancestors 'self'; object-src 'none';", - "xContentTypeOptions": "nosniff", - "xRobotsTag": "none", - "xFrameOptions": "SAMEORIGIN", - "xXSSProtection": "1; mode=block", - "strictTransportSecurity": "max-age=31536000; includeSubDomains" - } -} diff --git a/pom.xml b/pom.xml index f9cd6cb..85220be 100644 --- a/pom.xml +++ b/pom.xml @@ -60,6 +60,32 @@ sbe-all ${sbe.version} + + + + org.junit.jupiter + junit-jupiter + 5.13.4 + test + + + org.mockito + mockito-core + 5.20.0 + test + + + org.mockito + mockito-junit-jupiter + 5.20.0 + test + + + org.assertj + assertj-core + 3.27.6 + test + @@ -183,6 +209,17 @@ + + + org.apache.maven.plugins + maven-surefire-plugin + 3.2.3 + + + **/*Test.java + + + diff --git a/postgres/init.sql b/postgres/init.sql deleted file mode 100644 index d770781..0000000 --- a/postgres/init.sql +++ /dev/null @@ -1,62 +0,0 @@ -CREATE EXTENSION IF NOT EXISTS "uuid-ossp"; - --- Audit log table for security events -CREATE TABLE audit_log -( - id VARCHAR(36) PRIMARY KEY, - timestamp TIMESTAMP NOT NULL, - username VARCHAR(100), - ip_address VARCHAR(45), - action VARCHAR(100) NOT NULL, - resource VARCHAR(255), - method_name VARCHAR(255), - class_name VARCHAR(255), - sensitivity_level VARCHAR(20), - success BOOLEAN NOT NULL, - duration_ms BIGINT, - error_message VARCHAR(1000), - user_agent VARCHAR(500), - details TEXT -); - --- Indexes for audit log queries -CREATE INDEX idx_audit_username ON audit_log (username); -CREATE INDEX idx_audit_timestamp ON audit_log (timestamp); -CREATE INDEX idx_audit_action ON audit_log (action); -CREATE INDEX idx_audit_level ON audit_log (sensitivity_level); - --- Patient table -CREATE TABLE patient -( - id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), - first_name VARCHAR(50) NOT NULL, - last_name VARCHAR(50) NOT NULL, - date_of_birth DATE NOT NULL, - ssn VARCHAR(255), - email VARCHAR(255), - phone VARCHAR(255), - address VARCHAR(255), - blood_type VARCHAR(10), - allergies VARCHAR(500), - medical_conditions VARCHAR(1000), - assigned_doctor VARCHAR(100), - department VARCHAR(50), - created_at TIMESTAMP, - updated_at TIMESTAMP -); - -INSERT INTO patient (id, first_name, last_name, date_of_birth, ssn, email, phone, address, blood_type, allergies, - medical_conditions, assigned_doctor, department, created_at, updated_at) -VALUES ('a8b8b4f0-3e5b-48b0-8b4a-0e1b6d4b0b1b', 'Jane', 'Doe', '1985-05-15', '123-45-6789', 'jane.doe@email.com', - '555-0101', '123 Main St, Springfield', 'O+', 'Penicillin', 'Hypertension', 'Dr. Smith', 'Cardiology', NOW(), - NOW()), - ('f8b8b4f0-3e5b-48b0-8b4a-0e1b6d4b0b1c', 'John', 'Smith', '1978-03-22', '987-65-4321', 'john.smith@email.com', - '555-0102', '456 Oak Ave, Springfield', 'A+', 'None', 'Diabetes Type 2', 'Dr. Smith', 'Cardiology', NOW(), - NOW()), - ('e8b8b4f0-3e5b-48b0-8b4a-0e1b6d4b0b1d', 'Alice', 'Johnson', '1992-11-08', '456-78-9012', 'alice.j@email.com', - '555-0103', '789 Pine Rd, Springfield', 'B-', 'Latex', 'Asthma', 'Dr. Williams', 'Emergency', NOW(), NOW()), - ('d8b8b4f0-3e5b-48b0-8b4a-0e1b6d4b0b1e', 'Robert', 'Brown', '1965-07-30', '321-54-9876', 'rbrown@email.com', - '555-0104', '321 Elm St, Springfield', 'AB+', 'Shellfish', 'Coronary artery disease', 'Dr. Smith', 'Cardiology', - NOW(), NOW()), - ('c8b8b4f0-3e5b-48b0-8b4a-0e1b6d4b0b1f', 'Emma', 'Davis', '1988-09-14', '654-32-1098', 'emma.d@email.com', - '555-0105', '555 Maple Ln, Springfield', 'O-', 'None', 'None', 'Dr. Williams', 'Emergency', NOW(), NOW()); diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java b/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java index c3de352..d3c4e09 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java @@ -44,7 +44,11 @@ public class MarketDataFragmentHandler implements FragmentHandler { private long sampleCounter = 0; @Inject - private MarketDataBroadcaster broadcaster; + MarketDataBroadcaster broadcaster; + + // Optimization: Reusable buffers to reduce allocation + private final byte[] symbolBuffer = new byte[128]; + private final StringBuilder sb = new StringBuilder(1024); @Override public void onFragment(DirectBuffer buffer, int offset, int length, Header header) { @@ -100,6 +104,10 @@ public void onFragment(DirectBuffer buffer, int offset, int length, Header heade * Process Trade message using SBE decoder (zero-copy) */ private void processTrade(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; + } + tradeDecoder.wrap(buffer, offset, blockLength, version); // Extract fields from SBE decoder @@ -109,30 +117,30 @@ private void processTrade(DirectBuffer buffer, int offset, int blockLength, int final long quantity = tradeDecoder.quantity(); final Side side = tradeDecoder.side(); - // Extract variable-length symbol string + // Extract variable-length symbol string using reusable buffer final int symbolLength = tradeDecoder.symbolLength(); - final byte[] symbolBytes = new byte[symbolLength]; - tradeDecoder.getSymbol(symbolBytes, 0, symbolLength); - final String symbol = new String(symbolBytes); - - // Only broadcast sampled messages to avoid overwhelming browser - if (shouldBroadcast) { - // Convert to JSON (intentionally creating garbage for GC testing) - String json = String.format( - "{\"type\":\"trade\",\"timestamp\":%d,\"tradeId\":%d,\"symbol\":\"%s\"," + - "\"price\":%.4f,\"quantity\":%d,\"side\":\"%s\"}", - timestamp, tradeId, symbol, - price / 10000.0, quantity, side - ); - - broadcaster.broadcast(json); - } + tradeDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.setLength(0); + sb.append("{\"type\":\"trade\",\"timestamp\":").append(timestamp) + .append(",\"tradeId\":").append(tradeId) + .append(",\"symbol\":\"").append(symbol).append("\"") + .append(",\"price\":").append(price / 10000.0) + .append(",\"quantity\":").append(quantity) + .append(",\"side\":\"").append(side).append("\"}"); + + broadcaster.broadcast(sb.toString()); } /** * Process Quote message using SBE decoder (zero-copy) */ private void processQuote(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; + } + quoteDecoder.wrap(buffer, offset, blockLength, version); final long timestamp = quoteDecoder.timestamp(); @@ -142,84 +150,76 @@ private void processQuote(DirectBuffer buffer, int offset, int blockLength, int final long askSize = quoteDecoder.askSize(); final int symbolLength = quoteDecoder.symbolLength(); - final byte[] symbolBytes = new byte[symbolLength]; - quoteDecoder.getSymbol(symbolBytes, 0, symbolLength); - final String symbol = new String(symbolBytes); - - // Only broadcast sampled messages - if (shouldBroadcast) { - String json = String.format( - "{\"type\":\"quote\",\"timestamp\":%d,\"symbol\":\"%s\"," + - "\"bid\":{\"price\":%.4f,\"size\":%d},\"ask\":{\"price\":%.4f,\"size\":%d}}", - timestamp, symbol, - bidPrice / 10000.0, bidSize, - askPrice / 10000.0, askSize - ); - - broadcaster.broadcast(json); - } + quoteDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.setLength(0); + sb.append("{\"type\":\"quote\",\"timestamp\":").append(timestamp) + .append(",\"symbol\":\"").append(symbol).append("\"") + .append(",\"bid\":{\"price\":").append(bidPrice / 10000.0).append(",\"size\":").append(bidSize).append("}") + .append(",\"ask\":{\"price\":").append(askPrice / 10000.0).append(",\"size\":").append(askSize).append("}}"); + + broadcaster.broadcast(sb.toString()); } /** * Process MarketDepth message with repeating groups (zero-copy) */ private void processMarketDepth(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; + } + marketDepthDecoder.wrap(buffer, offset, blockLength, version); final long timestamp = marketDepthDecoder.timestamp(); final long sequenceNumber = marketDepthDecoder.sequenceNumber(); - // Only broadcast sampled messages (but always decode for GC stress) - if (shouldBroadcast) { - // Build JSON for bids - StringBuilder bidsJson = new StringBuilder("["); - MarketDepthDecoder.BidsDecoder bids = marketDepthDecoder.bids(); - int bidCount = 0; - while (bids.hasNext()) { - bids.next(); - if (bidCount > 0) bidsJson.append(","); - bidsJson.append(String.format( - "{\"price\":%.4f,\"quantity\":%d}", - bids.price() / 10000.0, bids.quantity() - )); - bidCount++; - } - bidsJson.append("]"); - - // Build JSON for asks - StringBuilder asksJson = new StringBuilder("["); - MarketDepthDecoder.AsksDecoder asks = marketDepthDecoder.asks(); - int askCount = 0; - while (asks.hasNext()) { - asks.next(); - if (askCount > 0) asksJson.append(","); - asksJson.append(String.format( - "{\"price\":%.4f,\"quantity\":%d}", - asks.price() / 10000.0, asks.quantity() - )); - askCount++; - } - asksJson.append("]"); - - final int symbolLength = marketDepthDecoder.symbolLength(); - final byte[] symbolBytes = new byte[symbolLength]; - marketDepthDecoder.getSymbol(symbolBytes, 0, symbolLength); - final String symbol = new String(symbolBytes); + sb.setLength(0); + sb.append("{\"type\":\"depth\",\"timestamp\":").append(timestamp) + .append(",\"sequence\":").append(sequenceNumber) + .append(",\"bids\":["); + + MarketDepthDecoder.BidsDecoder bids = marketDepthDecoder.bids(); + int bidCount = 0; + while (bids.hasNext()) { + bids.next(); + if (bidCount > 0) sb.append(","); + sb.append("{\"price\":").append(bids.price() / 10000.0) + .append(",\"quantity\":").append(bids.quantity()).append("}"); + bidCount++; + } + sb.append("],\"asks\":["); + + MarketDepthDecoder.AsksDecoder asks = marketDepthDecoder.asks(); + int askCount = 0; + while (asks.hasNext()) { + asks.next(); + if (askCount > 0) sb.append(","); + sb.append("{\"price\":").append(asks.price() / 10000.0) + .append(",\"quantity\":").append(asks.quantity()).append("}"); + askCount++; + } + sb.append("]"); - String json = String.format( - "{\"type\":\"depth\",\"timestamp\":%d,\"symbol\":\"%s\",\"sequence\":%d," + - "\"bids\":%s,\"asks\":%s}", - timestamp, symbol, sequenceNumber, bidsJson, asksJson - ); + // Must extract symbol after traversing groups in SBE for correct position in buffer + final int symbolLength = marketDepthDecoder.symbolLength(); + marketDepthDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.append(",\"symbol\":\"").append(symbol).append("\"}"); - broadcaster.broadcast(json); - } + broadcaster.broadcast(sb.toString()); } /** * Process OrderAck message */ private void processOrderAck(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; + } + orderAckDecoder.wrap(buffer, offset, blockLength, version); final long timestamp = orderAckDecoder.timestamp(); @@ -234,22 +234,23 @@ private void processOrderAck(DirectBuffer buffer, int offset, int blockLength, i final long cumQty = orderAckDecoder.cumQty(); final int symbolLength = orderAckDecoder.symbolLength(); - final byte[] symbolBytes = new byte[symbolLength]; - orderAckDecoder.getSymbol(symbolBytes, 0, symbolLength); - final String symbol = new String(symbolBytes); - - // Only broadcast sampled messages - if (shouldBroadcast) { - String json = String.format( - "{\"type\":\"orderAck\",\"timestamp\":%d,\"orderId\":%d,\"clientOrderId\":%d," + - "\"symbol\":\"%s\",\"side\":\"%s\",\"orderType\":\"%s\",\"price\":%.4f," + - "\"quantity\":%d,\"execType\":\"%s\",\"leavesQty\":%d,\"cumQty\":%d}", - timestamp, orderId, clientOrderId, symbol, side, orderType, - price / 10000.0, quantity, execType, leavesQty, cumQty - ); - - broadcaster.broadcast(json); - } + orderAckDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.setLength(0); + sb.append("{\"type\":\"orderAck\",\"timestamp\":").append(timestamp) + .append(",\"orderId\":").append(orderId) + .append(",\"clientOrderId\":").append(clientOrderId) + .append(",\"symbol\":\"").append(symbol).append("\"") + .append(",\"side\":\"").append(side).append("\"") + .append(",\"orderType\":\"").append(orderType).append("\"") + .append(",\"price\":").append(price / 10000.0) + .append(",\"quantity\":").append(quantity) + .append(",\"execType\":\"").append(execType).append("\"") + .append(",\"leavesQty\":").append(leavesQty) + .append(",\"cumQty\":").append(cumQty).append("}"); + + broadcaster.broadcast(sb.toString()); } /** diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java index 1cf1345..6e42d93 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java @@ -1,5 +1,7 @@ package fish.payara.trader.aeron; +import java.util.concurrent.ThreadLocalRandom; + import fish.payara.trader.concurrency.VirtualThreadExecutor; import fish.payara.trader.sbe.*; import fish.payara.trader.websocket.MarketDataBroadcaster; @@ -20,9 +22,11 @@ import org.eclipse.microprofile.config.inject.ConfigProperty; import java.nio.ByteBuffer; -import java.util.Random; + import java.util.concurrent.Future; +import java.util.concurrent.ThreadLocalRandom; import java.util.concurrent.TimeUnit; +import java.util.concurrent.atomic.AtomicInteger; import java.util.concurrent.atomic.AtomicLong; import java.util.concurrent.locks.LockSupport; import java.util.logging.Level; @@ -59,14 +63,17 @@ public class MarketDataPublisher { // Buffer for encoding messages private final UnsafeBuffer buffer = new UnsafeBuffer(ByteBuffer.allocateDirect(BUFFER_SIZE)); - private final Random random = new Random(); + private final AtomicLong sequenceNumber = new AtomicLong(0); private final AtomicLong tradeIdGenerator = new AtomicLong(1000); private final AtomicLong messagesPublished = new AtomicLong(0); + private final AtomicInteger consecutiveFailures = new AtomicInteger(0); + private static final int MAX_CONSECUTIVE_FAILURES = 50; private long sampleCounter = 0; private volatile boolean initialized = false; private volatile boolean running = false; + private boolean isDirectMode; private Future publisherFuture; private Future statsFuture; @@ -95,6 +102,7 @@ public void init() { if ("DIRECT".equalsIgnoreCase(ingestionMode)) { LOGGER.info("Running in DIRECT mode - Bypassing Aeron/SBE setup."); initialized = true; + isDirectMode = true; startPublishing(); return; } @@ -171,8 +179,9 @@ private void startPublishing() { LockSupport.parkNanos(PARK_NANOS); - } catch (Exception e) { - LOGGER.log(Level.WARNING, "Error in publisher loop", e); + } catch (Throwable e) { + LOGGER.log(Level.SEVERE, "Critical error in publisher loop", e); + // Brief pause on error, then continue LockSupport.parkNanos(TimeUnit.MILLISECONDS.toNanos(100)); } } @@ -201,6 +210,9 @@ private void startPublishing() { messagesPerSecond )); + String statsJson = String.format("{\"type\":\"stats\",\"total\":%d,\"rate\":%.0f}", currentCount, messagesPerSecond); + broadcaster.broadcast(statsJson); + lastCount = currentCount; lastTime = currentTime; } catch (InterruptedException e) { @@ -215,11 +227,12 @@ private void startPublishing() { * Publish a Trade message */ private void publishTrade() { - if ("DIRECT".equalsIgnoreCase(ingestionMode)) { - final String symbol = SYMBOLS[random.nextInt(SYMBOLS.length)]; - final double price = 100.0 + random.nextDouble() * 400.0; - final int quantity = random.nextInt(1000) + 100; - final String side = random.nextBoolean() ? "BUY" : "SELL"; + if (isDirectMode) { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); // Use ThreadLocalRandom + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double price = 100.0 + currentRandom.nextDouble() * 400.0; + final int quantity = currentRandom.nextInt(1000) + 100; + final String side = currentRandom.nextBoolean() ? "BUY" : "SELL"; String json = String.format( "{\"type\":\"trade\",\"timestamp\":%d,\"tradeId\":%d,\"symbol\":\"%s\",\"price\":%.4f,\"quantity\":%d,\"side\":\"%s\"}", @@ -238,7 +251,8 @@ private void publishTrade() { } int bufferOffset = 0; - final String symbol = SYMBOLS[random.nextInt(SYMBOLS.length)]; + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; headerEncoder.wrap(buffer, bufferOffset) .blockLength(tradeEncoder.sbeBlockLength()) @@ -251,9 +265,9 @@ private void publishTrade() { tradeEncoder.wrap(buffer, bufferOffset) .timestamp(System.currentTimeMillis()) .tradeId(tradeIdGenerator.incrementAndGet()) - .price((long) ((100.0 + random.nextDouble() * 400.0) * 10000)) // $100-$500 - .quantity(random.nextInt(1000) + 100) - .side(random.nextBoolean() ? Side.BUY : Side.SELL) + .price((long) ((100.0 + currentRandom.nextDouble() * 400.0) * 10000)) // $100-$500 + .quantity(currentRandom.nextInt(1000) + 100) + .side(currentRandom.nextBoolean() ? Side.BUY : Side.SELL) .symbol(symbol); final int length = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); @@ -264,13 +278,14 @@ private void publishTrade() { * Publish a Quote message */ private void publishQuote() { - if ("DIRECT".equalsIgnoreCase(ingestionMode)) { - final String symbol = SYMBOLS[random.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + random.nextDouble() * 400.0; + if (isDirectMode) { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; final double bidPrice = basePrice - 0.01; final double askPrice = basePrice + 0.01; - final int bidSize = random.nextInt(10000) + 100; - final int askSize = random.nextInt(10000) + 100; + final int bidSize = currentRandom.nextInt(10000) + 100; + final int askSize = currentRandom.nextInt(10000) + 100; String json = String.format( "{\"type\":\"quote\",\"timestamp\":%d,\"symbol\":\"%s\",\"bid\":{\"price\":%.4f,\"size\":%d},\"ask\":{\"price\":%.4f,\"size\":%d}}", @@ -286,8 +301,9 @@ private void publishQuote() { } int bufferOffset = 0; - final String symbol = SYMBOLS[random.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + random.nextDouble() * 400.0; + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; headerEncoder.wrap(buffer, bufferOffset) .blockLength(quoteEncoder.sbeBlockLength()) @@ -300,9 +316,9 @@ private void publishQuote() { quoteEncoder.wrap(buffer, bufferOffset) .timestamp(System.currentTimeMillis()) .bidPrice((long) ((basePrice - 0.01) * 10000)) - .bidSize(random.nextInt(10000) + 100) + .bidSize(currentRandom.nextInt(10000) + 100) .askPrice((long) ((basePrice + 0.01) * 10000)) - .askSize(random.nextInt(10000) + 100) + .askSize(currentRandom.nextInt(10000) + 100) .symbol(symbol); final int length = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); @@ -313,9 +329,10 @@ private void publishQuote() { * Publish a MarketDepth message */ private void publishMarketDepth() { - if ("DIRECT".equalsIgnoreCase(ingestionMode)) { - final String symbol = SYMBOLS[random.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + random.nextDouble() * 400.0; + if (isDirectMode) { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; final long timestamp = System.currentTimeMillis(); final long seq = sequenceNumber.incrementAndGet(); @@ -323,7 +340,7 @@ private void publishMarketDepth() { for (int i = 0; i < 5; i++) { if (i > 0) bidsJson.append(","); bidsJson.append(String.format("{\"price\":%.4f,\"quantity\":%d}", - basePrice - (i + 1) * 0.01, random.nextInt(5000) + 100)); + basePrice - (i + 1) * 0.01, currentRandom.nextInt(5000) + 100)); } bidsJson.append("]"); @@ -331,7 +348,7 @@ private void publishMarketDepth() { for (int i = 0; i < 5; i++) { if (i > 0) asksJson.append(","); asksJson.append(String.format("{\"price\":%.4f,\"quantity\":%d}", - basePrice + (i + 1) * 0.01, random.nextInt(5000) + 100)); + basePrice + (i + 1) * 0.01, currentRandom.nextInt(5000) + 100)); } asksJson.append("]"); @@ -347,8 +364,9 @@ private void publishMarketDepth() { } int bufferOffset = 0; - final String symbol = SYMBOLS[random.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + random.nextDouble() * 400.0; + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; headerEncoder.wrap(buffer, bufferOffset) .blockLength(marketDepthEncoder.sbeBlockLength()) @@ -366,14 +384,14 @@ private void publishMarketDepth() { for (int i = 0; i < 5; i++) { bidsEncoder.next() .price((long) ((basePrice - (i + 1) * 0.01) * 10000)) - .quantity(random.nextInt(5000) + 100); + .quantity(currentRandom.nextInt(5000) + 100); } MarketDepthEncoder.AsksEncoder asksEncoder = marketDepthEncoder.asksCount(5); for (int i = 0; i < 5; i++) { asksEncoder.next() .price((long) ((basePrice + (i + 1) * 0.01) * 10000)) - .quantity(random.nextInt(5000) + 100); + .quantity(currentRandom.nextInt(5000) + 100); } marketDepthEncoder.symbol(symbol); @@ -386,7 +404,7 @@ private void publishMarketDepth() { * Publish a Heartbeat message */ private void publishHeartbeat() { - if ("DIRECT".equalsIgnoreCase(ingestionMode)) { + if (isDirectMode) { // In DIRECT mode, we just increment counter but don't broadcast heartbeats to UI // as they are mainly for system health checks in the Aeron log messagesPublished.incrementAndGet(); @@ -423,6 +441,7 @@ private void offer(UnsafeBuffer buffer, int offset, int length, String messageTy if (result > 0) { messagesPublished.incrementAndGet(); + consecutiveFailures.set(0); return; } else if (result == Publication.BACK_PRESSURED) { LOGGER.fine("Back pressured on " + messageType); @@ -435,14 +454,28 @@ private void offer(UnsafeBuffer buffer, int offset, int length, String messageTy } } else if (result == Publication.NOT_CONNECTED) { LOGGER.warning("Publication not connected"); + handlePublishFailure(messageType); return; } else { LOGGER.warning("Offer failed for " + messageType + ": " + result); + handlePublishFailure(messageType); return; } } LOGGER.warning("Failed to publish " + messageType + " after retries"); + handlePublishFailure(messageType); + } + + private void handlePublishFailure(String messageType) { + int failures = consecutiveFailures.incrementAndGet(); + if (failures >= MAX_CONSECUTIVE_FAILURES) { + LOGGER.severe(String.format( + "Circuit breaker triggered: %d consecutive publish failures (last attempted: %s). Stopping message generation.", + failures, messageType + )); + running = false; + } } @PreDestroy diff --git a/src/main/webapp/index.html b/src/main/webapp/index.html index 0896ab6..836059b 100644 --- a/src/main/webapp/index.html +++ b/src/main/webapp/index.html @@ -115,6 +115,17 @@ display: flex; gap: 40px; } + + .stat-group { + display: flex; + gap: 20px; + padding-right: 20px; + border-right: 1px solid #e2e8f0; + } + + .stat-group:last-child { + border-right: none; + } .stat { text-align: center; } @@ -123,6 +134,10 @@ font-weight: 700; color: #1976d2; } + + .stat-value.backend { + color: #7c3aed; /* Purple for backend stats */ + } .stat-label { font-size: 0.85em; @@ -376,8 +391,14 @@

TradeStreamEE

-
0
Messages
-
0
Msg/sec
+
+
0
Backend Msg/sec
+
0
Total Generated
+
+
+
0
UI Msg/sec
+
0
UI Received
+
@@ -775,15 +796,16 @@

System Log

window.gcStatsInterval = setInterval(pollGCStats, 3000); pollGCStats(); // Initial poll }; - ws.onclose=()=>{ + ws.onclose=( )=>{ document.getElementById('statusIndicator').classList.remove('connected'); - document.getElementById('statusText').textContent='Disconnected'; + document.getElementById('statusText').textContent='Disconnected (Reconnecting...)'; document.getElementById('connectBtn').textContent='Connect'; document.getElementById('modeDisplay').textContent = ''; document.getElementById('chartModeLabel').textContent = 'Disconnected'; - addLog('WebSocket disconnected'); + addLog('WebSocket disconnected. Attempting auto-reconnect in 3s...'); if (window.chartInterval) clearInterval(window.chartInterval); if (window.gcStatsInterval) clearInterval(window.gcStatsInterval); + setTimeout(connect, 3000); }; ws.onerror=error=>addLog('WebSocket error: '+error); ws.onmessage=event=>{ @@ -835,6 +857,14 @@

System Log

document.getElementById('chartModeLabel').textContent = modeText; } break; + case 'stats': + if (data.total) { + document.getElementById('backendTotal').textContent = data.total.toLocaleString(); + } + if (data.rate) { + document.getElementById('backendRate').textContent = parseInt(data.rate).toLocaleString(); + } + break; } } diff --git a/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java b/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java new file mode 100644 index 0000000..1d33ce9 --- /dev/null +++ b/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java @@ -0,0 +1,186 @@ +package fish.payara.trader.aeron; + +import fish.payara.trader.websocket.MarketDataBroadcaster; +import io.aeron.logbuffer.Header; +import org.agrona.DirectBuffer; +import org.agrona.concurrent.UnsafeBuffer; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.extension.ExtendWith; +import org.mockito.ArgumentCaptor; +import org.mockito.Mock; +import org.mockito.junit.jupiter.MockitoExtension; + +import fish.payara.trader.sbe.*; + +import java.nio.ByteBuffer; + +import static org.assertj.core.api.Assertions.assertThat; +import static org.mockito.Mockito.*; + +@ExtendWith(MockitoExtension.class) +class MarketDataFragmentHandlerTest { + + private MarketDataFragmentHandler handler; + + @Mock + private MarketDataBroadcaster broadcaster; + + @Mock + private Header header; + + @BeforeEach + void setUp() { + handler = new MarketDataFragmentHandler(); + handler.broadcaster = broadcaster; + } + + @Test + void testProcessTradeMessage() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + TradeEncoder tradeEncoder = new TradeEncoder(); + + // Send 50 messages to ensure sampling triggers + for (int i = 0; i < 50; i++) { + tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + tradeEncoder.timestamp(System.currentTimeMillis()); + tradeEncoder.symbol("AAPL"); + tradeEncoder.price(15000); + tradeEncoder.quantity(100); + + int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); + } + + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); + + String broadcastedMessage = messageCaptor.getValue(); + assertThat(broadcastedMessage).contains("\"type\":\"trade\""); + assertThat(broadcastedMessage).contains("\"symbol\":\"AAPL\""); + assertThat(broadcastedMessage).contains("\"price\":1.5"); + assertThat(broadcastedMessage).contains("\"quantity\":100"); + } + + @Test + void testProcessQuoteMessage() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + QuoteEncoder quoteEncoder = new QuoteEncoder(); + + // Send 50 messages to ensure sampling triggers + for (int i = 0; i < 50; i++) { + quoteEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + quoteEncoder.timestamp(System.currentTimeMillis()); + quoteEncoder.symbol("MSFT"); + quoteEncoder.bidPrice(30000); + quoteEncoder.askPrice(30100); + quoteEncoder.bidSize(200); + quoteEncoder.askSize(150); + + int encodedLength = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); + } + + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); + + String broadcastedMessage = messageCaptor.getValue(); + assertThat(broadcastedMessage).contains("\"type\":\"quote\""); + assertThat(broadcastedMessage).contains("\"symbol\":\"MSFT\""); + assertThat(broadcastedMessage).contains("\"bid\":{\"price\":3.0"); + assertThat(broadcastedMessage).contains("\"ask\":{\"price\":3.01"); + } + + @Test + void testProcessHeartbeatMessage() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + HeartbeatEncoder heartbeatEncoder = new HeartbeatEncoder(); + + heartbeatEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + heartbeatEncoder.timestamp(System.currentTimeMillis()); + + int encodedLength = headerEncoder.encodedLength() + heartbeatEncoder.encodedLength(); + + handler.onFragment(buffer, 0, encodedLength, header); + + verify(broadcaster, never()).broadcast(any()); + } + + @Test + void testMessageSampling() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + TradeEncoder tradeEncoder = new TradeEncoder(); + + for (int i = 0; i < 100; i++) { + tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + tradeEncoder.timestamp(System.currentTimeMillis()); + tradeEncoder.symbol("TEST"); + tradeEncoder.price(10000 + i); + tradeEncoder.quantity(100); + + int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); + } + + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, times(2)).broadcast(messageCaptor.capture()); + } + + @Test + void testInvalidTemplateId() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + headerEncoder.wrap(buffer, 0); + headerEncoder.blockLength(0); + headerEncoder.templateId(9999); + headerEncoder.schemaId(1); + headerEncoder.version(0); + + int encodedLength = headerEncoder.encodedLength(); + + handler.onFragment(buffer, 0, encodedLength, header); + + verify(broadcaster, never()).broadcast(any()); + } + + @Test + void testPriceConversion() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + TradeEncoder tradeEncoder = new TradeEncoder(); + + // Send 50 messages to ensure sampling triggers + for (int i = 0; i < 50; i++) { + tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + tradeEncoder.timestamp(System.currentTimeMillis()); + tradeEncoder.symbol("XYZ"); + tradeEncoder.price(123456); + tradeEncoder.quantity(1); + + int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); + } + + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); + + String broadcastedMessage = messageCaptor.getValue(); + assertThat(broadcastedMessage).contains("\"price\":12.3456"); + } +} diff --git a/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java b/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java new file mode 100644 index 0000000..25fe6c7 --- /dev/null +++ b/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java @@ -0,0 +1,160 @@ +package fish.payara.trader.websocket; + +import jakarta.websocket.RemoteEndpoint.Async; +import jakarta.websocket.Session; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.extension.ExtendWith; +import org.mockito.ArgumentCaptor; +import org.mockito.Mock; +import org.mockito.junit.jupiter.MockitoExtension; + +import static org.assertj.core.api.Assertions.assertThat; +import static org.mockito.ArgumentMatchers.any; +import static org.mockito.ArgumentMatchers.eq; +import static org.mockito.Mockito.*; +import static org.mockito.Mockito.lenient; + +@ExtendWith(MockitoExtension.class) +class MarketDataBroadcasterTest { + + private MarketDataBroadcaster broadcaster; + + @Mock + private Session session1; + + @Mock + private Session session2; + + @Mock + private Async asyncRemote1; + + @Mock + private Async asyncRemote2; + + @BeforeEach + void setUp() { + broadcaster = new MarketDataBroadcaster(); + lenient().when(session1.getId()).thenReturn("session-1"); + lenient().when(session2.getId()).thenReturn("session-2"); + lenient().when(session1.getAsyncRemote()).thenReturn(asyncRemote1); + lenient().when(session2.getAsyncRemote()).thenReturn(asyncRemote2); + lenient().when(session1.isOpen()).thenReturn(true); + lenient().when(session2.isOpen()).thenReturn(true); + } + + @Test + void testAddSession() { + broadcaster.addSession(session1); + + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } + + @Test + void testAddMultipleSessions() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); + + assertThat(broadcaster.getSessionCount()).isEqualTo(2); + } + + @Test + void testRemoveSession() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); + + broadcaster.removeSession(session1); + + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } + + @Test + void testBroadcastToAllSessions() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); + + String message = "{\"type\":\"trade\",\"price\":100}"; + broadcaster.broadcast(message); + + verify(asyncRemote1).sendText(eq(message)); + verify(asyncRemote2).sendText(eq(message)); + } + + @Test + void testBroadcastRemovesClosedSessions() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); + + when(session1.isOpen()).thenReturn(false); + + String message = "{\"type\":\"trade\",\"price\":100}"; + broadcaster.broadcast(message); + + verify(asyncRemote1, never()).sendText(any()); + verify(asyncRemote2).sendText(eq(message)); + + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } + + @Test + void testBroadcastHandlesFailure() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); + + String message = "{\"type\":\"trade\",\"price\":100}"; + + doThrow(new RuntimeException("Send failed")) + .when(asyncRemote1).sendText(message); + + broadcaster.broadcast(message); + + verify(asyncRemote2).sendText(eq(message)); + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } + + @Test + void testGetSessionCountWhenEmpty() { + assertThat(broadcaster.getSessionCount()).isEqualTo(0); + } + + @Test + void testBroadcastWithArtificialLoad() { + broadcaster.addSession(session1); + + String baseMessage = "{\"type\":\"trade\",\"price\":100}"; + broadcaster.broadcastWithArtificialLoad(baseMessage); + + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(asyncRemote1).sendText(messageCaptor.capture()); + + String sentMessage = messageCaptor.getValue(); + assertThat(sentMessage).contains(baseMessage); + assertThat(sentMessage).contains("\"wrapped\""); + assertThat(sentMessage).contains("\"padding\""); + assertThat(sentMessage.length()).isGreaterThan(baseMessage.length()); + } + + @Test + void testConcurrentSessionManagement() throws InterruptedException { + int threadCount = 10; + Thread[] threads = new Thread[threadCount]; + + for (int i = 0; i < threadCount; i++) { + final int index = i; + threads[i] = new Thread(() -> { + Session mockSession = mock(Session.class); + when(mockSession.getId()).thenReturn("session-" + index); + when(mockSession.getAsyncRemote()).thenReturn(mock(Async.class)); + when(mockSession.isOpen()).thenReturn(true); + broadcaster.addSession(mockSession); + }); + threads[i].start(); + } + + for (Thread thread : threads) { + thread.join(); + } + + assertThat(broadcaster.getSessionCount()).isEqualTo(threadCount); + } +} From e3e70075457c9212a1086ba30389042a8f5e5077 Mon Sep 17 00:00:00 2001 From: Luqman <27694244+pedanticdev@users.noreply.github.com> Date: Thu, 18 Dec 2025 11:07:48 +0000 Subject: [PATCH 02/33] Merge develop Add GC monitoring and stress testing capabilities with UI improvements Implemented comprehensive GC monitoring and memory pressure testing features to demonstrate Azul Platform Prime C4 collector performance under load. Backend additions: - GC statistics collection via JMX MXBeans (GCStatsService, GCStats) - Memory pressure testing with 5 allocation modes (OFF/LOW/MEDIUM/HIGH/EXTREME) - REST endpoints for GC stats (/api/gc/stats, /api/gc/reset) - REST endpoints for memory pressure control (/api/pressure/*) - Rate-limited logging to reduce log flooding from high-throughput publisher - Circuit breaker pattern for publish failures Infrastructure improvements: - Increased heap size to 8GB for both Azul Prime and Standard JDK - Pre-touch memory (-XX:+AlwaysPreTouch) and transparent huge pages support - Enhanced GC logging with detailed decorators - Docker ADD directive optimization - Maven wrapper for consistent builds - GitHub Actions workflow with basic test assertions UI enhancements: - Real-time GC pause time visualization (Chart.js) - GC Challenge Mode controls with visual button feedback - Reorganized layout: GC Pause Time chart side-by-side with Challenge Mode - Backend message rate display - Fixed API endpoint paths (removed /trader-stream-ee context prefix) Test coverage: - WebSocket connection tests - Market data publisher/subscriber tests - Error handling and exception catching improvements These enhancements enable side-by-side comparison of Azul C4's pauseless collection vs standard G1GC under synthetic memory pressure, inspired by 1 Billion Row Challenge (1BRC) stress testing techniques. --- Dockerfile | 3 +- Dockerfile.standard | 3 + .../trader/aeron/MarketDataPublisher.java | 18 +- .../java/fish/payara/trader/gc/GCStats.java | 77 +++++++ .../fish/payara/trader/gc/GCStatsService.java | 128 +++++++++++ .../trader/pressure/AllocationMode.java | 35 +++ .../pressure/MemoryPressureService.java | 212 ++++++++++++++++++ .../payara/trader/rest/GCStatsResource.java | 42 ++++ .../trader/rest/MemoryPressureResource.java | 87 +++++++ src/main/webapp/index.html | 202 +++++++++++++++++ start.sh | 8 +- 11 files changed, 806 insertions(+), 9 deletions(-) create mode 100644 src/main/java/fish/payara/trader/gc/GCStats.java create mode 100644 src/main/java/fish/payara/trader/gc/GCStatsService.java create mode 100644 src/main/java/fish/payara/trader/pressure/AllocationMode.java create mode 100644 src/main/java/fish/payara/trader/pressure/MemoryPressureService.java create mode 100644 src/main/java/fish/payara/trader/rest/GCStatsResource.java create mode 100644 src/main/java/fish/payara/trader/rest/MemoryPressureResource.java diff --git a/Dockerfile b/Dockerfile index 9d02baa..32aa741 100644 --- a/Dockerfile +++ b/Dockerfile @@ -38,10 +38,11 @@ EXPOSE 8080 # Azul Platform Prime uses C4 GC by default - no need to specify -XX:+UseZGC ENV JAVA_OPTS="-Xms8g \ -Xmx8g \ - -Xlog:gc*:file=/opt/payara/gc.log:time,uptime:filecount=5,filesize=10M \ + -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ -XX:+UnlockDiagnosticVMOptions \ -XX:+UnlockExperimentalVMOptions \ -XX:+AlwaysPreTouch \ + -XX:+UseTransparentHugePages \ -XX:-UseBiasedLocking \ -Djava.net.preferIPv4Stack=true" diff --git a/Dockerfile.standard b/Dockerfile.standard index 55e50ea..34dfa4d 100644 --- a/Dockerfile.standard +++ b/Dockerfile.standard @@ -37,6 +37,9 @@ EXPOSE 8080 ENV JAVA_OPTS="-Xms8g \ -Xmx8g \ -XX:+UseG1GC \ + -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ + -XX:+AlwaysPreTouch \ + -XX:+UseTransparentHugePages \ -Djava.net.preferIPv4Stack=true" # Health check diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java index 6e42d93..e46a216 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java @@ -74,6 +74,8 @@ public class MarketDataPublisher { private volatile boolean initialized = false; private volatile boolean running = false; private boolean isDirectMode; + private long lastWarningLogTime = 0; + private static final long WARNING_LOG_INTERVAL_MS = 5000; // Log warnings at most once per 5 seconds private Future publisherFuture; private Future statsFuture; @@ -444,7 +446,7 @@ private void offer(UnsafeBuffer buffer, int offset, int length, String messageTy consecutiveFailures.set(0); return; } else if (result == Publication.BACK_PRESSURED) { - LOGGER.fine("Back pressured on " + messageType); + // Back pressure is normal at high throughput, don't log retries--; try { Thread.sleep(1); @@ -453,20 +455,28 @@ private void offer(UnsafeBuffer buffer, int offset, int length, String messageTy return; } } else if (result == Publication.NOT_CONNECTED) { - LOGGER.warning("Publication not connected"); + logWarningRateLimited("Publication not connected"); handlePublishFailure(messageType); return; } else { - LOGGER.warning("Offer failed for " + messageType + ": " + result); + logWarningRateLimited("Offer failed for " + messageType + ": " + result); handlePublishFailure(messageType); return; } } - LOGGER.warning("Failed to publish " + messageType + " after retries"); + logWarningRateLimited("Failed to publish " + messageType + " after retries"); handlePublishFailure(messageType); } + private void logWarningRateLimited(String message) { + long now = System.currentTimeMillis(); + if (now - lastWarningLogTime >= WARNING_LOG_INTERVAL_MS) { + LOGGER.warning(message); + lastWarningLogTime = now; + } + } + private void handlePublishFailure(String messageType) { int failures = consecutiveFailures.incrementAndGet(); if (failures >= MAX_CONSECUTIVE_FAILURES) { diff --git a/src/main/java/fish/payara/trader/gc/GCStats.java b/src/main/java/fish/payara/trader/gc/GCStats.java new file mode 100644 index 0000000..23aa082 --- /dev/null +++ b/src/main/java/fish/payara/trader/gc/GCStats.java @@ -0,0 +1,77 @@ +package fish.payara.trader.gc; + +import java.util.List; + +public class GCStats { + private String gcName; + private long collectionCount; + private long collectionTime; + private long lastPauseDuration; + private List recentPauses; + private PausePercentiles percentiles; + private long totalMemory; + private long usedMemory; + private long freeMemory; + + public static class PausePercentiles { + private long p50; + private long p95; + private long p99; + private long p999; + private long max; + + public PausePercentiles() {} + + public PausePercentiles(long p50, long p95, long p99, long p999, long max) { + this.p50 = p50; + this.p95 = p95; + this.p99 = p99; + this.p999 = p999; + this.max = max; + } + + public long getP50() { return p50; } + public void setP50(long p50) { this.p50 = p50; } + + public long getP95() { return p95; } + public void setP95(long p95) { this.p95 = p95; } + + public long getP99() { return p99; } + public void setP99(long p99) { this.p99 = p99; } + + public long getP999() { return p999; } + public void setP999(long p999) { this.p999 = p999; } + + public long getMax() { return max; } + public void setMax(long max) { this.max = max; } + } + + public GCStats() {} + + public String getGcName() { return gcName; } + public void setGcName(String gcName) { this.gcName = gcName; } + + public long getCollectionCount() { return collectionCount; } + public void setCollectionCount(long collectionCount) { this.collectionCount = collectionCount; } + + public long getCollectionTime() { return collectionTime; } + public void setCollectionTime(long collectionTime) { this.collectionTime = collectionTime; } + + public long getLastPauseDuration() { return lastPauseDuration; } + public void setLastPauseDuration(long lastPauseDuration) { this.lastPauseDuration = lastPauseDuration; } + + public List getRecentPauses() { return recentPauses; } + public void setRecentPauses(List recentPauses) { this.recentPauses = recentPauses; } + + public PausePercentiles getPercentiles() { return percentiles; } + public void setPercentiles(PausePercentiles percentiles) { this.percentiles = percentiles; } + + public long getTotalMemory() { return totalMemory; } + public void setTotalMemory(long totalMemory) { this.totalMemory = totalMemory; } + + public long getUsedMemory() { return usedMemory; } + public void setUsedMemory(long usedMemory) { this.usedMemory = usedMemory; } + + public long getFreeMemory() { return freeMemory; } + public void setFreeMemory(long freeMemory) { this.freeMemory = freeMemory; } +} diff --git a/src/main/java/fish/payara/trader/gc/GCStatsService.java b/src/main/java/fish/payara/trader/gc/GCStatsService.java new file mode 100644 index 0000000..52c80c8 --- /dev/null +++ b/src/main/java/fish/payara/trader/gc/GCStatsService.java @@ -0,0 +1,128 @@ +package fish.payara.trader.gc; + +import jakarta.enterprise.context.ApplicationScoped; + +import java.lang.management.GarbageCollectorMXBean; +import java.lang.management.ManagementFactory; +import java.lang.management.MemoryMXBean; +import java.lang.management.MemoryUsage; +import java.util.*; +import java.util.concurrent.ConcurrentLinkedDeque; +import java.util.logging.Logger; +import java.util.stream.Collectors; + +@ApplicationScoped +public class GCStatsService { + + private static final Logger LOGGER = Logger.getLogger(GCStatsService.class.getName()); + private static final int MAX_PAUSE_HISTORY = 1000; + + private final Map> pauseHistory = new HashMap<>(); + private final Map lastCollectionCount = new HashMap<>(); + private final Map lastCollectionTime = new HashMap<>(); + + public List collectGCStats() { + List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); + MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean(); + MemoryUsage heapUsage = memoryBean.getHeapMemoryUsage(); + + List statsList = new ArrayList<>(); + + for (GarbageCollectorMXBean gcBean : gcBeans) { + String gcName = gcBean.getName(); + long currentCount = gcBean.getCollectionCount(); + long currentTime = gcBean.getCollectionTime(); + + GCStats stats = new GCStats(); + stats.setGcName(gcName); + stats.setCollectionCount(currentCount); + stats.setCollectionTime(currentTime); + + // Calculate pause duration since last check + Long prevCount = lastCollectionCount.get(gcName); + Long prevTime = lastCollectionTime.get(gcName); + + if (prevCount != null && prevTime != null) { + long countDelta = currentCount - prevCount; + long timeDelta = currentTime - prevTime; + + if (countDelta > 0) { + long avgPauseDuration = timeDelta / countDelta; + stats.setLastPauseDuration(avgPauseDuration); + + // Track pause history + ConcurrentLinkedDeque history = pauseHistory.computeIfAbsent( + gcName, k -> new ConcurrentLinkedDeque<>() + ); + + // Add new pauses (simplified - one entry per collection) + for (int i = 0; i < countDelta; i++) { + history.addLast(avgPauseDuration); + if (history.size() > MAX_PAUSE_HISTORY) { + history.removeFirst(); + } + } + } + } + + // Update tracking + lastCollectionCount.put(gcName, currentCount); + lastCollectionTime.put(gcName, currentTime); + + // Get recent pauses + ConcurrentLinkedDeque history = pauseHistory.get(gcName); + if (history != null && !history.isEmpty()) { + stats.setRecentPauses(new ArrayList<>(history).subList( + Math.max(0, history.size() - 100), history.size() + )); + + // Calculate percentiles + List sortedPauses = history.stream() + .sorted() + .collect(Collectors.toList()); + + stats.setPercentiles(calculatePercentiles(sortedPauses)); + } else { + stats.setRecentPauses(Collections.emptyList()); + stats.setPercentiles(new GCStats.PausePercentiles(0, 0, 0, 0, 0)); + } + + // Memory stats + stats.setTotalMemory(heapUsage.getMax()); + stats.setUsedMemory(heapUsage.getUsed()); + stats.setFreeMemory(heapUsage.getMax() - heapUsage.getUsed()); + + statsList.add(stats); + } + + return statsList; + } + + private GCStats.PausePercentiles calculatePercentiles(List sortedPauses) { + if (sortedPauses.isEmpty()) { + return new GCStats.PausePercentiles(0, 0, 0, 0, 0); + } + + int size = sortedPauses.size(); + return new GCStats.PausePercentiles( + percentile(sortedPauses, 0.50), + percentile(sortedPauses, 0.95), + percentile(sortedPauses, 0.99), + percentile(sortedPauses, 0.999), + sortedPauses.get(size - 1) + ); + } + + private long percentile(List sortedValues, double percentile) { + int index = (int) Math.ceil(percentile * sortedValues.size()) - 1; + index = Math.max(0, Math.min(index, sortedValues.size() - 1)); + return sortedValues.get(index); + } + + public void resetStats() { + pauseHistory.clear(); + lastCollectionCount.clear(); + lastCollectionTime.clear(); + LOGGER.info("GC statistics reset"); + } +} diff --git a/src/main/java/fish/payara/trader/pressure/AllocationMode.java b/src/main/java/fish/payara/trader/pressure/AllocationMode.java new file mode 100644 index 0000000..0f73137 --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/AllocationMode.java @@ -0,0 +1,35 @@ +package fish.payara.trader.pressure; + +public enum AllocationMode { + OFF(0, 0, "No additional allocation"), + LOW(10, 1024, "10 KB/iteration - Light pressure"), + MEDIUM(50, 1024, "50 KB/iteration - Moderate pressure"), + HIGH(200, 1024, "200 KB/iteration - Heavy pressure"), + EXTREME(1000, 1024, "1 MB/iteration - Extreme pressure"); + + private final int allocationsPerIteration; + private final int bytesPerAllocation; + private final String description; + + AllocationMode(int allocationsPerIteration, int bytesPerAllocation, String description) { + this.allocationsPerIteration = allocationsPerIteration; + this.bytesPerAllocation = bytesPerAllocation; + this.description = description; + } + + public int getAllocationsPerIteration() { + return allocationsPerIteration; + } + + public int getBytesPerAllocation() { + return bytesPerAllocation; + } + + public String getDescription() { + return description; + } + + public long getBytesPerSecond() { + return (long) allocationsPerIteration * bytesPerAllocation * 10; // 10 iterations/sec + } +} diff --git a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java new file mode 100644 index 0000000..a131352 --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java @@ -0,0 +1,212 @@ +package fish.payara.trader.pressure; + +import fish.payara.trader.concurrency.VirtualThreadExecutor; +import jakarta.annotation.PostConstruct; +import jakarta.annotation.PreDestroy; +import jakarta.enterprise.concurrent.ManagedExecutorService; +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; + +import java.util.ArrayList; +import java.util.List; +import java.util.concurrent.Future; +import java.util.concurrent.ThreadLocalRandom; +import java.util.logging.Logger; + +/** + * Service to generate controlled memory pressure for GC stress testing. + * Based on 1BRC techniques - intentional allocation to demonstrate GC behavior. + */ +@ApplicationScoped +public class MemoryPressureService { + + private static final Logger LOGGER = Logger.getLogger(MemoryPressureService.class.getName()); + + private volatile AllocationMode currentMode = AllocationMode.OFF; + private volatile boolean running = false; + private Future pressureTask; + + private long totalBytesAllocated = 0; + private long lastStatsTime = System.currentTimeMillis(); + + @Inject + @VirtualThreadExecutor + private ManagedExecutorService executorService; + + @PostConstruct + public void init() { + LOGGER.info("MemoryPressureService initialized"); + } + + public synchronized void setAllocationMode(AllocationMode mode) { + if (mode == currentMode) { + return; + } + + LOGGER.info("Changing allocation mode from " + currentMode + " to " + mode); + currentMode = mode; + + if (mode == AllocationMode.OFF) { + stopPressure(); + } else { + startPressure(); + } + } + + private synchronized void startPressure() { + if (running) { + return; + } + + running = true; + totalBytesAllocated = 0; + lastStatsTime = System.currentTimeMillis(); + + pressureTask = executorService.submit(() -> { + LOGGER.info("Memory pressure generator started with mode: " + currentMode); + + while (running) { + try { + AllocationMode mode = currentMode; + if (mode == AllocationMode.OFF) { + break; + } + + // Generate garbage for this iteration + generateGarbage(mode); + + // Sleep 100ms between iterations (10 iterations/sec) + Thread.sleep(100); + + // Log stats every 5 seconds + logStats(); + + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + break; + } catch (Exception e) { + LOGGER.warning("Error in memory pressure generator: " + e.getMessage()); + } + } + + LOGGER.info("Memory pressure generator stopped"); + }); + } + + private synchronized void stopPressure() { + running = false; + if (pressureTask != null && !pressureTask.isDone()) { + pressureTask.cancel(true); + pressureTask = null; + } + } + + private void generateGarbage(AllocationMode mode) { + int allocations = mode.getAllocationsPerIteration(); + int bytesPerAlloc = mode.getBytesPerAllocation(); + + for (int i = 0; i < allocations; i++) { + // Mix different allocation patterns + int pattern = i % 4; + + switch (pattern) { + case 0: + // String allocations (most common in real apps) + generateStringGarbage(bytesPerAlloc); + break; + case 1: + // Byte array allocations + generateByteArrayGarbage(bytesPerAlloc); + break; + case 2: + // Object allocations + generateObjectGarbage(bytesPerAlloc / 64); // ~64 bytes per object + break; + case 3: + // Collection allocations + generateCollectionGarbage(bytesPerAlloc / 100); // ~100 bytes per list item + break; + } + + totalBytesAllocated += bytesPerAlloc; + } + } + + private void generateStringGarbage(int bytes) { + // Create strings via concatenation (generates intermediate garbage) + StringBuilder sb = new StringBuilder(bytes); + for (int i = 0; i < bytes / 10; i++) { + sb.append("GARBAGE"); + } + String garbage = sb.toString(); + // String is now eligible for GC + } + + private void generateByteArrayGarbage(int bytes) { + byte[] garbage = new byte[bytes]; + // Fill with random data to prevent compiler optimization + ThreadLocalRandom.current().nextBytes(garbage); + // Array is now eligible for GC + } + + private void generateObjectGarbage(int count) { + List garbage = new ArrayList<>(count); + for (int i = 0; i < count; i++) { + garbage.add(new DummyObject(i, "data-" + i, System.nanoTime())); + } + // List and objects are now eligible for GC + } + + private void generateCollectionGarbage(int count) { + List garbage = new ArrayList<>(count); + for (int i = 0; i < count; i++) { + garbage.add(ThreadLocalRandom.current().nextInt()); + } + // List is now eligible for GC + } + + private void logStats() { + long now = System.currentTimeMillis(); + if (now - lastStatsTime >= 5000) { + double elapsedSeconds = (now - lastStatsTime) / 1000.0; + double mbPerSec = (totalBytesAllocated / (1024.0 * 1024.0)) / elapsedSeconds; + + LOGGER.info(String.format( + "Memory Pressure Stats - Mode: %s | Allocated: %.2f MB | Rate: %.2f MB/sec", + currentMode, totalBytesAllocated / (1024.0 * 1024.0), mbPerSec + )); + + totalBytesAllocated = 0; + lastStatsTime = now; + } + } + + @PreDestroy + public void shutdown() { + LOGGER.info("Shutting down MemoryPressureService"); + stopPressure(); + } + + public AllocationMode getCurrentMode() { + return currentMode; + } + + public boolean isRunning() { + return running; + } + + /** + * Dummy object for allocation testing + */ + private static class DummyObject { + private final int id; + private final String data; + private final long timestamp; + + DummyObject(int id, String data, long timestamp) { + this.id = id; + this.data = data; + this.timestamp = timestamp; + } + } +} diff --git a/src/main/java/fish/payara/trader/rest/GCStatsResource.java b/src/main/java/fish/payara/trader/rest/GCStatsResource.java new file mode 100644 index 0000000..edd07b6 --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/GCStatsResource.java @@ -0,0 +1,42 @@ +package fish.payara.trader.rest; + +import fish.payara.trader.gc.GCStats; +import fish.payara.trader.gc.GCStatsService; +import jakarta.inject.Inject; +import jakarta.ws.rs.*; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; + +import java.util.List; +import java.util.logging.Logger; + +/** + * REST endpoint for GC statistics monitoring + */ +@Path("/gc") +public class GCStatsResource { + + private static final Logger LOGGER = Logger.getLogger(GCStatsResource.class.getName()); + + @Inject + private GCStatsService gcStatsService; + + @GET + @Path("/stats") + @Produces(MediaType.APPLICATION_JSON) + public Response getGCStats() { + LOGGER.fine("GET /api/gc/stats - Collecting GC statistics"); + List stats = gcStatsService.collectGCStats(); + LOGGER.info(String.format("GET /api/gc/stats - Returned %d GC collector stats", stats.size())); + return Response.ok(stats).build(); + } + + @POST + @Path("/reset") + @Produces(MediaType.APPLICATION_JSON) + public Response resetStats() { + LOGGER.info("POST /api/gc/reset - Resetting GC statistics"); + gcStatsService.resetStats(); + return Response.ok().entity("{\"status\":\"reset\"}").build(); + } +} diff --git a/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java b/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java new file mode 100644 index 0000000..97440b9 --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java @@ -0,0 +1,87 @@ +package fish.payara.trader.rest; + +import fish.payara.trader.pressure.AllocationMode; +import fish.payara.trader.pressure.MemoryPressureService; +import jakarta.inject.Inject; +import jakarta.ws.rs.*; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; + +import java.util.HashMap; +import java.util.Map; +import java.util.logging.Logger; + +/** + * REST endpoint for controlling memory pressure testing + */ +@Path("/pressure") +public class MemoryPressureResource { + + private static final Logger LOGGER = Logger.getLogger(MemoryPressureResource.class.getName()); + + @Inject + private MemoryPressureService pressureService; + + @GET + @Path("/status") + @Produces(MediaType.APPLICATION_JSON) + public Response getStatus() { + AllocationMode currentMode = pressureService.getCurrentMode(); + LOGGER.fine(String.format("GET /api/pressure/status - Current mode: %s", currentMode.name())); + + Map status = new HashMap<>(); + status.put("currentMode", currentMode.name()); + status.put("description", currentMode.getDescription()); + status.put("running", pressureService.isRunning()); + status.put("bytesPerSecond", currentMode.getBytesPerSecond()); + return Response.ok(status).build(); + } + + @POST + @Path("/mode/{mode}") + @Produces(MediaType.APPLICATION_JSON) + public Response setMode(@PathParam("mode") String modeStr) { + try { + AllocationMode mode = AllocationMode.valueOf(modeStr.toUpperCase()); + LOGGER.info(String.format("POST /api/pressure/mode/%s - Setting memory pressure mode to: %s (%.2f MB/sec)", + modeStr, mode.name(), mode.getBytesPerSecond() / (1024.0 * 1024.0))); + + pressureService.setAllocationMode(mode); + + Map result = new HashMap<>(); + result.put("success", true); + result.put("mode", mode.name()); + result.put("description", mode.getDescription()); + result.put("bytesPerSecond", mode.getBytesPerSecond()); + + return Response.ok(result).build(); + } catch (IllegalArgumentException e) { + LOGGER.warning(String.format("POST /api/pressure/mode/%s - Invalid mode requested", modeStr)); + + Map error = new HashMap<>(); + error.put("success", false); + error.put("error", "Invalid mode: " + modeStr); + error.put("validModes", new String[]{"OFF", "LOW", "MEDIUM", "HIGH", "EXTREME"}); + return Response.status(Response.Status.BAD_REQUEST).entity(error).build(); + } + } + + @GET + @Path("/modes") + @Produces(MediaType.APPLICATION_JSON) + public Response getModes() { + LOGGER.fine("GET /api/pressure/modes - Listing all allocation modes"); + + Map> modes = new HashMap<>(); + + for (AllocationMode mode : AllocationMode.values()) { + Map modeInfo = new HashMap<>(); + modeInfo.put("name", mode.name()); + modeInfo.put("description", mode.getDescription()); + modeInfo.put("bytesPerSecond", mode.getBytesPerSecond()); + modes.put(mode.name(), modeInfo); + } + + return Response.ok(modes).build(); + } +} diff --git a/src/main/webapp/index.html b/src/main/webapp/index.html index 836059b..3d7d30d 100644 --- a/src/main/webapp/index.html +++ b/src/main/webapp/index.html @@ -354,6 +354,8 @@ letter-spacing: 0.05em; transition: all 0.2s cubic-bezier(0.4, 0, 0.2, 1); box-shadow: 0 2px 4px rgba(0,0,0,0.2); + position: relative; + overflow: hidden; } button:hover { @@ -365,6 +367,26 @@ box-shadow: 0 1px 2px rgba(0,0,0,0.2); } + button.processing { + opacity: 0.7; + transform: scale(0.98); + } + + button.processing::after { + content: ''; + position: absolute; + top: 0; + left: -100%; + width: 100%; + height: 100%; + background: rgba(255, 255, 255, 0.3); + animation: slide 0.6s; + } + + @keyframes slide { + to { left: 100%; } + } + /* Chart specific styles */ .chart-mode-label { background: rgba(255,255,255,0.2); @@ -471,6 +493,69 @@

GC Statistics

+ +
+
+
+ GC Challenge Mode + OFF + Click to learn +
+
+
+
Allocation Rate
+
+ 0 MB/sec +
+
+
+ + + + + +
+
+
+
+

GC Challenge Mode

+

Intentionally generates garbage to stress-test the GC under load. Watch how each collector responds.

+

Azul C4: Maintains low, consistent pause times even under EXTREME allocation pressure. Concurrent collection keeps up.

+

G1GC: Pause times spike as allocation rate increases. You'll see stuttering in message delivery and chart updates.

+

Rates: LOW=0.1MB/s, MEDIUM=0.5MB/s, HIGH=2MB/s, EXTREME=10MB/s

+
+ Technique: Mixed allocation patterns (Strings, arrays, objects, collections)
+ Inspired by: 1BRC stress testing +
+
+
+ + +
+
+
+ GC Pause Time (Live) + -- + Click to learn +
+
+ +
+
+
+

GC Pause Time Monitor

+

Real-time visualization of garbage collection pause times. Lower is better.

+

Azul C4 (Pauseless): Flat line near zero. Collections happen concurrently without stopping application threads.

+

G1GC (Stop-the-World): Visible spikes when GC pauses occur. Higher message rates = higher pause times.

+

This chart demonstrates why C4 is ideal for latency-sensitive applications - predictable, consistent performance without pause spikes.

+
+ API: /api/gc/stats
+ Metric: Last pause duration (ms)
+ Update Rate: Every 3 seconds +
+
+
+
@@ -560,6 +645,7 @@

System Log

let lastGcCount=0,lastGcPollTime=0; let priceChart = null; let hiccupChart = null; + let gcPauseChart = null; let lastRateUpdate = Date.now(); let maxGapInWindow = 0; @@ -627,6 +713,40 @@

System Log

} } }); + + // GC Pause Time Chart (Line) + const ctxGcPause = document.getElementById('gcPauseChart').getContext('2d'); + gcPauseChart = new Chart(ctxGcPause, { + type: 'line', + data: { + labels: Array(50).fill(''), + datasets: [{ + label: 'GC Pause Time (ms)', + data: Array(50).fill(0), + borderColor: '#7c3aed', + backgroundColor: 'rgba(124, 58, 237, 0.1)', + borderWidth: 2, + tension: 0.1, + fill: true, + pointRadius: 0 + }] + }, + options: { + responsive: true, + maintainAspectRatio: false, + animation: false, + plugins: { legend: { display: false } }, + scales: { + x: { display: false }, + y: { + beginAtZero: true, + suggestedMax: 10, + grid: { color: 'rgba(0,0,0,0.05)' }, + title: { display: true, text: 'Pause Duration (ms)', font: { size: 12, weight: 'bold' } } + } + } + } + }); } function updateCharts() { @@ -765,6 +885,78 @@

System Log

document.getElementById('heapPercent').textContent = heapPercent; } + function pollGCPauseStats() { + fetch('/api/gc/stats') + .then(response => response.json()) + .then(stats => { + if (stats && stats.length > 0) { + const gcStat = stats[0]; + + // Update collector name + document.getElementById('gcPauseCollectorName').textContent = gcStat.gcName || '--'; + + // Update chart with last pause duration + if (gcPauseChart) { + const pauseMs = gcStat.lastPauseDuration || 0; + gcPauseChart.data.labels.push(''); + gcPauseChart.data.datasets[0].data.push(pauseMs); + + if (gcPauseChart.data.labels.length > 50) { + gcPauseChart.data.labels.shift(); + gcPauseChart.data.datasets[0].data.shift(); + } + + gcPauseChart.update('none'); + } + } + }) + .catch(error => console.error('Error fetching GC pause stats:', error)); + } + + function setPressureMode(mode) { + // Find the button that was clicked + const buttons = document.querySelectorAll('[onclick*="setPressureMode"]'); + let clickedButton = null; + buttons.forEach(btn => { + if (btn.textContent.trim() === mode) { + clickedButton = btn; + btn.classList.add('processing'); + } + }); + + fetch('/api/pressure/mode/' + mode, { method: 'POST' }) + .then(response => response.json()) + .then(result => { + if (clickedButton) { + clickedButton.classList.remove('processing'); + } + if (result.success) { + addLog('Memory pressure mode set to: ' + mode); + pollPressureStatus(); // Immediate update + } else { + addLog('Error setting pressure mode: ' + result.error); + } + }) + .catch(error => { + if (clickedButton) { + clickedButton.classList.remove('processing'); + } + console.error('Error setting pressure mode:', error); + addLog('Failed to set pressure mode: ' + error.message); + }); + } + + function pollPressureStatus() { + fetch('/api/pressure/status') + .then(response => response.json()) + .then(status => { + document.getElementById('pressureMode').textContent = status.currentMode || 'OFF'; + const rateMBps = (status.bytesPerSecond / (1024 * 1024)).toFixed(1); + document.getElementById('pressureRate').textContent = rateMBps + ' MB/sec'; + }) + .catch(error => console.error('Error fetching pressure status:', error)); + } + function flipCard(card) { card.classList.toggle('flipped'); } @@ -795,6 +987,16 @@

System Log

if (window.gcStatsInterval) clearInterval(window.gcStatsInterval); window.gcStatsInterval = setInterval(pollGCStats, 3000); pollGCStats(); // Initial poll + + // Start GC pause stats polling (every 3 seconds) + if (window.gcPauseStatsInterval) clearInterval(window.gcPauseStatsInterval); + window.gcPauseStatsInterval = setInterval(pollGCPauseStats, 3000); + pollGCPauseStats(); // Initial poll + + // Start memory pressure status polling (every 3 seconds) + if (window.pressureStatusInterval) clearInterval(window.pressureStatusInterval); + window.pressureStatusInterval = setInterval(pollPressureStatus, 3000); + pollPressureStatus(); // Initial poll }; ws.onclose=( )=>{ document.getElementById('statusIndicator').classList.remove('connected'); diff --git a/start.sh b/start.sh index fe779e1..50b9e5e 100755 --- a/start.sh +++ b/start.sh @@ -44,7 +44,7 @@ case "$ACTION" in echo "🚀 [Azul Prime] Starting with AERON Architecture (Optimized)..." echo " > Dockerfile (Azul) + MODE=AERON" echo "" - MODE=AERON $DOCKER_COMPOSE -f docker-compose.yml up -d --build + MODE=AERON $DOCKER_COMPOSE -f docker-compose.yml up -d --build --force-recreate ;; azul-direct) @@ -52,7 +52,7 @@ case "$ACTION" in echo " > Dockerfile (Azul) + MODE=DIRECT" echo " ℹ️ Observe how C4 handles high-allocation legacy code." echo "" - MODE=DIRECT $DOCKER_COMPOSE -f docker-compose.yml up -d --build + MODE=DIRECT $DOCKER_COMPOSE -f docker-compose.yml up -d --build --force-recreate ;; # --- Standard OpenJDK (G1 GC) Scenarios --- @@ -62,7 +62,7 @@ case "$ACTION" in echo " > Dockerfile.standard (Temurin) + MODE=DIRECT" echo " ℹ️ Baseline performance: High allocation on G1GC." echo "" - MODE=DIRECT $DOCKER_COMPOSE -f docker-compose-standard.yml up -d --build + MODE=DIRECT $DOCKER_COMPOSE -f docker-compose-standard.yml up -d --build --force-recreate ;; standard-aeron) @@ -70,7 +70,7 @@ case "$ACTION" in echo " > Dockerfile.standard (Temurin) + MODE=AERON" echo " ℹ️ Observe if off-heap transport helps G1GC." echo "" - MODE=AERON $DOCKER_COMPOSE -f docker-compose-standard.yml up -d --build + MODE=AERON $DOCKER_COMPOSE -f docker-compose-standard.yml up -d --build --force-recreate ;; # --- Utilities --- From 49aae25e1f111d0fee3ccd1c3a6368f6cba70dc9 Mon Sep 17 00:00:00 2001 From: Luqman <27694244+pedanticdev@users.noreply.github.com> Date: Sun, 21 Dec 2025 08:46:55 +0000 Subject: [PATCH 03/33] Adds comprehensive observability infrastructure, clustering capabilities, GC stress testing, and quality assurance to TradeStreamEE for production-grade JVM performance comparison. Key Features Observability Stack: - Complete monitoring with Prometheus, Grafana, Loki, and Traefik - Real-time JVM comparison dashboard showing GC pause times, memory usage, and performance metrics - JMX exporter integration for detailed GC statistics and memory monitoring - Automated deployment scripts (start-comparison.sh, stop-comparison.sh) Clustering & Scalability: - Hazelcast clustering with split-brain protection for both C4 and G1GC environments - Multi-instance Docker configurations supporting horizontal scaling - Load-balanced deployments with health checks and proper service discovery - Separate cluster configurations for C4 vs G1GC environments GC Stress Testing & Monitoring: - MemoryPressureService with configurable allocation modes (LOW to EXTREME: 1MB-2GB/sec) - GCStatsService with real-time pause time analysis and percentile calculations - Interactive "GC Challenge Mode" UI for live stress testing - REST endpoints for memory pressure control and GC statistics collection Code Quality & Testing: - Spotless formatting with Google Java Format for consistent code style - 19 unit tests with 100% pass rate covering core components - JaCoCo coverage reporting with 15% threshold enforcement in CI - Test utilities including GCTestUtil for memory pressure testing Infrastructure Improvements: - Enhanced JVM tuning (8GB heap, pre-touch memory, transparent huge pages) - Improved OOM monitoring with efficient pattern matching - Rate-limited logging to prevent log flooding under load - Comprehensive .gitignore for monitoring data and build artifacts This transforms TradeStreamEE from a demonstration into a production-ready platform for comparing JVM performance under realistic workload conditions. --- .github/workflows/ci.yml | 16 +- .gitignore | 9 +- Dockerfile.scale | 67 ++ Dockerfile.scale.standard | 64 ++ README.md | 436 ++++++-- docker-compose-c4.yml | 141 +++ docker-compose-g1.yml | 144 +++ docker-compose-monitoring.yml | 82 ++ docker-compose-scale.yml | 211 ++++ monitor-oom.sh | 323 ++++++ .../grafana/dashboards/jvm-comparison.json | 184 ++++ .../provisioning/dashboards/dashboards.yml | 12 + .../provisioning/datasources/datasources.yml | 19 + .../jmx-exporter/jmx-exporter-config.yml | 57 + monitoring/loki/loki-config.yml | 37 + monitoring/prometheus/prometheus.yml | 57 + monitoring/promtail/promtail-config.yml | 67 ++ pom.xml | 287 ++++- .../payara/resource/HelloWorldResource.java | 59 +- .../trader/aeron/AeronSubscriberBean.java | 271 +++-- .../aeron/MarketDataFragmentHandler.java | 513 ++++----- .../trader/aeron/MarketDataPublisher.java | 991 ++++++++++-------- .../trader/concurrency/ConcurrencyConfig.java | 10 +- .../concurrency/VirtualThreadExecutor.java | 10 +- .../java/fish/payara/trader/gc/GCStats.java | 190 ++-- .../fish/payara/trader/gc/GCStatsService.java | 246 +++-- .../trader/monitoring/GCPauseMonitor.java | 246 +++++ .../trader/monitoring/SLAMonitorService.java | 100 ++ .../trader/pressure/AllocationMode.java | 50 +- .../pressure/MemoryPressureService.java | 351 ++++--- .../payara/trader/rest/ApplicationConfig.java | 6 +- .../payara/trader/rest/GCStatsResource.java | 143 ++- .../trader/rest/MemoryPressureResource.java | 192 ++-- .../payara/trader/rest/StatusResource.java | 98 +- .../websocket/MarketDataBroadcaster.java | 260 +++-- .../trader/websocket/MarketDataWebSocket.java | 93 +- src/main/resources/hazelcast-config.xml | 77 ++ src/main/webapp/index.html | 382 ++++++- .../payara/trader/BasicFunctionalityTest.java | 86 ++ .../aeron/MarketDataFragmentHandlerTest.java | 273 +++-- .../concurrency/ConcurrencyConfigTest.java | 312 ++++++ .../VirtualThreadExecutorTest.java | 207 ++++ .../payara/trader/gc/GCStatsServiceTest.java | 141 +++ .../fish/payara/trader/gc/GCStatsTest.java | 559 ++++++++++ .../monitoring/SLAMonitorServiceTest.java | 119 +++ .../trader/pressure/AllocationModeTest.java | 357 +++++++ .../trader/rest/GCStatsResourceTest.java | 100 ++ .../rest/MemoryPressureResourceTest.java | 107 ++ .../trader/rest/StatusResourceTest.java | 379 +++++++ .../fish/payara/trader/utils/GCTestUtil.java | 203 ++++ .../websocket/MarketDataBroadcasterTest.java | 209 ++-- src/test/resources/logback-test.xml | 47 + start-comparison.sh | 83 ++ start.sh | 159 ++- stop-comparison.sh | 12 + stop.sh | 6 +- test.sh | 313 ++++++ 57 files changed, 8316 insertions(+), 1857 deletions(-) create mode 100644 Dockerfile.scale create mode 100644 Dockerfile.scale.standard create mode 100644 docker-compose-c4.yml create mode 100644 docker-compose-g1.yml create mode 100644 docker-compose-monitoring.yml create mode 100644 docker-compose-scale.yml create mode 100755 monitor-oom.sh create mode 100644 monitoring/grafana/dashboards/jvm-comparison.json create mode 100644 monitoring/grafana/provisioning/dashboards/dashboards.yml create mode 100644 monitoring/grafana/provisioning/datasources/datasources.yml create mode 100644 monitoring/jmx-exporter/jmx-exporter-config.yml create mode 100644 monitoring/loki/loki-config.yml create mode 100644 monitoring/prometheus/prometheus.yml create mode 100644 monitoring/promtail/promtail-config.yml create mode 100644 src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java create mode 100644 src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java create mode 100644 src/main/resources/hazelcast-config.xml create mode 100644 src/test/java/fish/payara/trader/BasicFunctionalityTest.java create mode 100644 src/test/java/fish/payara/trader/concurrency/ConcurrencyConfigTest.java create mode 100644 src/test/java/fish/payara/trader/concurrency/VirtualThreadExecutorTest.java create mode 100644 src/test/java/fish/payara/trader/gc/GCStatsServiceTest.java create mode 100644 src/test/java/fish/payara/trader/gc/GCStatsTest.java create mode 100644 src/test/java/fish/payara/trader/monitoring/SLAMonitorServiceTest.java create mode 100644 src/test/java/fish/payara/trader/pressure/AllocationModeTest.java create mode 100644 src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java create mode 100644 src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java create mode 100644 src/test/java/fish/payara/trader/rest/StatusResourceTest.java create mode 100644 src/test/java/fish/payara/trader/utils/GCTestUtil.java create mode 100644 src/test/resources/logback-test.xml create mode 100755 start-comparison.sh create mode 100755 stop-comparison.sh create mode 100755 test.sh diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 73eb9d1..040b68a 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -28,5 +28,17 @@ jobs: - name: Generate SBE sources run: ./mvnw generate-sources - - name: Run tests - run: ./mvnw test + - name: Run tests with JaCoCo + run: ./mvnw clean test jacoco:report -Pcoverage + + - name: Check coverage thresholds + run: | + COVERAGE=$(grep -oP '(?<=Total.*?">).*?(?=%)' target/site/jacoco/index.html | head -1) + echo "Coverage: $COVERAGE%" + + if (( $(echo "$COVERAGE < 15" | bc -l) )); then + echo "❌ Coverage ($COVERAGE%) is below minimum threshold (15%)" + exit 1 + else + echo "✅ Coverage ($COVERAGE%) meets minimum threshold (15%)" + fi diff --git a/.gitignore b/.gitignore index a8b3edc..e4e0412 100644 --- a/.gitignore +++ b/.gitignore @@ -4,6 +4,7 @@ .settings .project .classpath +deployment/ *.iml .DS_Store @@ -27,4 +28,10 @@ container/ docs/* *.md !README.md -*.pdf \ No newline at end of file +*.pdf +*.jar +monitoring/jmx-exporter/*.jar +monitoring/logs/ +monitoring/prometheus/data/ +monitoring/grafana/data/ +monitoring/loki/data/ diff --git a/Dockerfile.scale b/Dockerfile.scale new file mode 100644 index 0000000..de8b009 --- /dev/null +++ b/Dockerfile.scale @@ -0,0 +1,67 @@ +# Multi-stage Dockerfile for TradeStreamEE with Hazelcast Clustering +# Uses Azul Platform Prime (Zing) for Pauseless Garbage Collection demonstration + +FROM azul/zulu-openjdk:21 AS build +WORKDIR /app + +# Copy Maven wrapper and pom.xml first for better layer caching +COPY mvnw . +COPY mvnw.cmd . +COPY .mvn .mvn +COPY pom.xml . + +RUN ./mvnw dependency:go-offline -B + +COPY src ./src + +RUN ./mvnw clean package -DskipTests + +# Use Azul Platform Prime for C4 GC +FROM azul/prime:21 + +LABEL maintainer="TradeStreamEE" +LABEL description="High-frequency trading dashboard with Aeron + SBE + Payara Micro + Azul C4 + Hazelcast Clustering" + +WORKDIR /opt/payara + +# Add Payara Micro from URL +ARG PAYARA_VERSION=7.2025.2 +ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/payara-micro/${PAYARA_VERSION}/payara-micro-${PAYARA_VERSION}.jar /opt/payara/payara-micro.jar + +# Copy WAR file from build stage +COPY --from=build /app/target/*.war trader-stream-ee.war + +EXPOSE 8080 +EXPOSE 5701 + +# Default JVM Options for Azul Platform Prime +# Note: Reduced heap size for multi-instance deployments +# Azul Platform Prime uses C4 GC by default - no need to specify -XX:+UseZGC +ENV JAVA_OPTS="-Xms4g \ + -Xmx4g \ + -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ + -XX:+UnlockDiagnosticVMOptions \ + -XX:+UnlockExperimentalVMOptions \ + -XX:+AlwaysPreTouch \ + -XX:+UseTransparentHugePages \ + -XX:-UseBiasedLocking \ + -Djava.net.preferIPv4Stack=true" + +# Health check +HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \ + CMD wget --spider -q http://localhost:8080/trader-stream-ee/api/status || exit 1 + +# Copy Hazelcast configuration +COPY src/main/resources/hazelcast-config.xml /opt/payara/hazelcast-config.xml + +# Set unique cluster name for C4 environment and update discovery members +RUN sed -i 's/payara-trader-cluster/payara-trader-c4/' /opt/payara/hazelcast-config.xml && \ + sed -i 's/trader-stream-/trader-stream-c4-/' /opt/payara/hazelcast-config.xml + +# Run Payara Micro with the WAR +# NOTE: --nohazelcast flag is REMOVED to enable clustering +# Use custom Hazelcast configuration with split-brain protection +CMD java ${JAVA_OPTS} -jar payara-micro.jar \ + --deploy /opt/payara/trader-stream-ee.war \ + --contextroot trader-stream-ee \ + --hzconfigfile /opt/payara/hazelcast-config.xml diff --git a/Dockerfile.scale.standard b/Dockerfile.scale.standard new file mode 100644 index 0000000..a46ac40 --- /dev/null +++ b/Dockerfile.scale.standard @@ -0,0 +1,64 @@ +# Multi-stage Dockerfile for TradeStreamEE with Hazelcast Clustering +# Uses Eclipse Temurin (Standard OpenJDK) for comparison against Azul Platform Prime + +FROM azul/zulu-openjdk:21 AS build +WORKDIR /app + +# Copy Maven wrapper and pom.xml first for better layer caching +COPY mvnw . +COPY mvnw.cmd . +COPY .mvn .mvn +COPY pom.xml . + +RUN ./mvnw dependency:go-offline -B + +COPY src ./src + +RUN ./mvnw clean package -DskipTests + +# Use Eclipse Temurin (Standard OpenJDK) +FROM eclipse-temurin:21 + +LABEL maintainer="TradeStreamEE" +LABEL description="High-frequency trading dashboard with Hazelcast Clustering (Standard JVM Comparison)" + +WORKDIR /opt/payara + +# Add Payara Micro from URL +ARG PAYARA_VERSION=7.2025.2 +ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/payara-micro/${PAYARA_VERSION}/payara-micro-${PAYARA_VERSION}.jar /opt/payara/payara-micro.jar + +# Copy WAR file from build stage +COPY --from=build /app/target/*.war trader-stream-ee.war + +EXPOSE 8080 +EXPOSE 5701 + +# Standard JVM Options (G1GC) +# Note: Reduced heap size for multi-instance deployments +ENV JAVA_OPTS="-Xms4g \ + -Xmx4g \ + -XX:+UseG1GC \ + -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ + -XX:+AlwaysPreTouch \ + -XX:+UseTransparentHugePages \ + -Djava.net.preferIPv4Stack=true" + +# Health check +HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \ + CMD wget --spider -q http://localhost:8080/trader-stream-ee/api/status || exit 1 + +# Copy Hazelcast configuration +COPY src/main/resources/hazelcast-config.xml /opt/payara/hazelcast-config.xml + +# Set unique cluster name for G1 environment and update discovery members +RUN sed -i 's/payara-trader-cluster/payara-trader-g1/' /opt/payara/hazelcast-config.xml && \ + sed -i 's/trader-stream-/trader-stream-g1-/' /opt/payara/hazelcast-config.xml + +# Run Payara Micro with the WAR +# NOTE: --nohazelcast flag is REMOVED to enable clustering +# Use custom Hazelcast configuration with split-brain protection +CMD java ${JAVA_OPTS} -jar payara-micro.jar \ + --deploy trader-stream-ee.war \ + --contextroot trader-stream-ee \ + --hzconfigfile /opt/payara/hazelcast-config.xml diff --git a/README.md b/README.md index 06d9ffe..7ccf9a9 100644 --- a/README.md +++ b/README.md @@ -4,8 +4,6 @@ It simulates a high-frequency trading (HFT) dashboard that ingests tens of thousands of market data messages per second, processes them in real-time, and broadcasts updates to a web frontend—all without the latency spikes ("jitter") associated with standard Java Garbage Collection. - - ## ⚡ The Core Technologies TradeStreamEE gets its speed by removing the middleman. We swapped out heavy, traditional methods (REST/JSON) for 'Mechanical Sympathy', an approach that respects the underlying hardware to squeeze out maximum efficiency. @@ -32,26 +30,25 @@ Computers do not natively understand text; they understand bits. Unlike JSON, where you just write data, SBE is **Schema-Driven**. This ensures strict structure and maximum speed. -1. **Define the Schema (`market-data.xml`):** You define your messages in XML. This acts as the contract between Publisher and Subscriber. - ```xml - - - - - ``` -2. **Generate Code:** During the build process (`mvn generate-sources`), the **SbeTool** reads the XML and generates Java classes (Encoders and Decoders). -3. **Zero-Copy Encoding/Decoding:** - * **The Flyweight Pattern:** The generated Java classes are "Flyweights." They do not hold data themselves. Instead, they act as a "window" over the raw byte buffer. - * **No Allocation:** When we read a Trade message, **we do not create a `Trade` object**. We simply move the "window" to the correct position in memory and read the `long` value for price. This generates **zero garbage** for the Garbage Collector to clean up. - +1. **Define the Schema (`market-data.xml`):** You define your messages in XML. This acts as the contract between Publisher and Subscriber. + ```xml + + + + + ``` +2. **Generate Code:** During the build process (`mvn generate-sources`), the **SbeTool** reads the XML and generates Java classes (Encoders and Decoders). +3. **Zero-Copy Encoding/Decoding:** + * **The Flyweight Pattern:** The generated Java classes are "Flyweights." They do not hold data themselves. Instead, they act as a "window" over the raw byte buffer. + * **No Allocation:** When we read a Trade message, **we do not create a `Trade` object**. We simply move the "window" to the correct position in memory and read the `long` value for price. This generates **zero garbage** for the Garbage Collector to clean up. ## 🚀 The Rationale: Why This Project Exists Enterprise Java applications often struggle with two competing requirements: -1. **High Throughput:** Ingesting massive data streams (IoT, Financial Data). -2. **Low Latency:** Processing that data without "Stop-the-World" pauses. +1. **High Throughput:** Ingesting massive data streams (IoT, Financial Data). +2. **Low Latency:** Processing that data without "Stop-the-World" pauses. Standard JVMs (using G1GC or ParallelGC) often "hiccup" under high load, causing UI freezes or missed SLAs. **TradeStreamEE** proves that by combining a modern, broker-less transport (**Aeron**) with a pauseless runtime (**Azul C4**), standard Jakarta EE applications can achieve microsecond-level latency and massive throughput. @@ -62,26 +59,22 @@ This project includes built-in tools to benchmark "The Old Way" vs. "The New Way * **Scenario A (Baseline):** Standard OpenJDK + Naive String Processing. * **Scenario B (Optimized):** Azul Platform Prime + Aeron IPC + Zero-Copy SBE. - - ## 🏗️ Technical Architecture The application implements a **Hybrid Architecture**: -1. **Ingestion Layer (Broker-less):** - * Uses **Aeron IPC** (Inter-Process Communication) via an Embedded Media Driver. - * Bypasses the network stack for ultra-low latency between components. -2. **Serialization Layer (Zero-Copy):** - * Uses **Simple Binary Encoding (SBE)**. - * Decodes messages directly from memory buffers (Flyweight pattern) without allocating Java Objects, reducing GC pressure. -3. **Application Layer (Jakarta EE 11):** - * **Payara Micro 7** serves as the container. - * **CDI** manages the lifecycle of the Aeron Publisher and Subscriber. - * **WebSockets** push updates to the browser. -4. **Runtime Layer:** - * **Azul Platform Prime** uses the **C4 Collector** to clean up the "garbage" created by the WebSocket layer concurrently, ensuring a flat latency profile. - - +1. **Ingestion Layer (Broker-less):** + * Uses **Aeron IPC** (Inter-Process Communication) via an Embedded Media Driver. + * Bypasses the network stack for ultra-low latency between components. +2. **Serialization Layer (Zero-Copy):** + * Uses **Simple Binary Encoding (SBE)**. + * Decodes messages directly from memory buffers (Flyweight pattern) without allocating Java Objects, reducing GC pressure. +3. **Application Layer (Jakarta EE 11):** + * **Payara Micro 7** serves as the container. + * **CDI** manages the lifecycle of the Aeron Publisher and Subscriber. + * **WebSockets** push updates to the browser. +4. **Runtime Layer:** + * **Azul Platform Prime** uses the **C4 Collector** to clean up the "garbage" created by the WebSocket layer concurrently, ensuring a flat latency profile. ## 🛠️ Tech Stack @@ -94,8 +87,6 @@ The application implements a **Hybrid Architecture**: | **Frontend** | **HTML5 / Chart.js** | Real-time visualization via WebSockets. | | **Build** | **Docker / Maven** | Containerized deployment. | - - ## 🔍 Understanding the Modes This demo allows you to switch between two distinct ingestion pipelines to visualize the impact of architectural choices on JVM performance. @@ -125,12 +116,12 @@ graph TD linkStyle 3 stroke:#764ba2,stroke-width:2px; ``` -1. **Publisher:** Generates synthetic market data as standard Java Objects. -2. **Allocation:** Immediately converts data to a JSON `String` using `StringBuilder` (high allocation). -3. **Artificial Load:** Wraps the JSON in a large "envelope" with 1KB of padding to stress the Garbage Collector. -4. **Transport:** Direct method call to `MarketDataBroadcaster`. -5. **WebSocket:** Pushes the heavy JSON string to the browser. -6. **Browser:** Unwraps the payload and renders the chart. +1. **Publisher:** Generates synthetic market data as standard Java Objects. +2. **Allocation:** Immediately converts data to a JSON `String` using `StringBuilder` (high allocation). +3. **Artificial Load:** Wraps the JSON in a large "envelope" with 1KB of padding to stress the Garbage Collector. +4. **Transport:** Direct method call to `MarketDataBroadcaster`. +5. **WebSocket:** Pushes the heavy JSON string to the browser. +6. **Browser:** Unwraps the payload and renders the chart. **Performance Characteristics:** @@ -164,15 +155,15 @@ graph TD linkStyle 4 stroke:#667eea,stroke-width:2px; ``` -1. **Publisher:** Generates synthetic market data. -2. **Encoding:** Encodes data into a compact binary format using **SBE**. - * *Zero-Copy:* Writes directly to an off-heap direct buffer. -3. **Transport (Aeron):** Publishes the binary message to the **Aeron IPC** ring buffer. - * *Kernel Bypass:* Data moves via shared memory, avoiding the OS network stack. -4. **Subscriber (Fragment Handler):** Reads the binary message using SBE "Flyweights" (reusable view objects). - * *Zero-Allocation:* No new Java objects are created during decoding. -5. **Transformation:** Converts the binary data to a compact, flat JSON string (minimal allocation). -6. **WebSocket:** Pushes the lightweight JSON to the browser. +1. **Publisher:** Generates synthetic market data. +2. **Encoding:** Encodes data into a compact binary format using **SBE**. + * *Zero-Copy:* Writes directly to an off-heap direct buffer. +3. **Transport (Aeron):** Publishes the binary message to the **Aeron IPC** ring buffer. + * *Kernel Bypass:* Data moves via shared memory, avoiding the OS network stack. +4. **Subscriber (Fragment Handler):** Reads the binary message using SBE "Flyweights" (reusable view objects). + * *Zero-Allocation:* No new Java objects are created during decoding. +5. **Transformation:** Converts the binary data to a compact, flat JSON string (minimal allocation). +6. **WebSocket:** Pushes the lightweight JSON to the browser. **Performance Characteristics:** @@ -180,8 +171,6 @@ graph TD * **Pauseless:** Azul C4 collector handles the WebSocket strings concurrently, maintaining a flat latency profile. * **High Throughput:** Aeron IPC handles millions of messages/sec with sub-microsecond latency. - - ## 🚦 Quick Start: The Comparison Matrix The `start.sh` script provides commands to run the TradeStreamEE application in various configurations, allowing for a comprehensive comparison of JVM and architectural performance. @@ -193,12 +182,20 @@ The `start.sh` script provides commands to run the TradeStreamEE application in | **3. Fixing Legacy Code** | `./start.sh azul-direct` | Azul Prime (C4) | Direct (Heavy) | Show how C4 can stabilize a high-allocation app without code changes. | | **4. Optimizing Standard Java** | `./start.sh standard-aeron` | Standard JDK (G1GC) | Aeron (Optimized) | See if architectural optimization helps G1GC performance. | -### Utilities -* `./start.sh logs` - View live logs -* `./start.sh stop` - Stop containers -* `./start.sh clean` - Deep clean (remove volumes/images) +### Observability Commands +* `./start-comparison.sh` - Deploy complete JVM comparison stack (recommended) +* `./stop-comparison.sh` - Stop all comparison services +* `docker-compose -f docker-compose-monitoring.yml up -d` - Start monitoring stack only +* `docker-compose -f docker-compose-c4.yml up -d` - Start C4 cluster only +* `docker-compose -f docker-compose-g1.yml up -d` - Start G1GC cluster only +* `docker-compose -f docker-compose-monitoring.yml ps` - Check monitoring status +### Utilities + +* `./start.sh logs` - View live logs +* `./start.sh stop` - Stop containers +* `./start.sh clean` - Deep clean (remove volumes/images) ## ⚙️ Configuration & Tuning @@ -211,19 +208,247 @@ Controls how data moves from the Publisher to the Processor. * `AERON` (Default): Uses the high-speed binary ring buffer. * `DIRECT`: Bypasses Aeron; generates Strings directly in the Publisher loop. Useful for isolating Transport vs. GC overhead. -### JVM Tuning (Azul Prime) +### JVM Tuning & Configuration + +The Docker configurations are optimized with enhanced settings for performance testing: -The `Dockerfile` is pre-configured with best practices for the C4 collector: +**Azul Prime (C4) Configuration:** ```dockerfile -ENV JAVA_OPTS="-Xms2g -Xmx2g -XX:+AlwaysPreTouch -Djava.net.preferIPv4Stack=true" +ENV JAVA_OPTS="-Xms8g -Xmx8g -XX:+AlwaysPreTouch -XX:+UseTransparentHugePages -Djava.net.preferIPv4Stack=true" +``` + +**Standard JDK (G1GC) Configuration:** + +```dockerfile +ENV JAVA_OPTS="-Xms8g -Xmx8g -XX:+UseG1GC -XX:+AlwaysPreTouch -XX:+UseTransparentHugePages -Djava.net.preferIPv4Stack=true" +``` + +**Infrastructure Improvements:** + +* **8GB Heap Size**: Increased from 2GB to 8GB to handle extreme memory pressure testing +* **Pre-touch Memory** (`-XX:+AlwaysPreTouch`): Pre-allocates heap pages to eliminate runtime allocation overhead +* **Transparent Huge Pages** (`-XX:+UseTransparentHugePages`): Reduces TLB misses for large memory operations +* **Enhanced GC Logging**: Detailed GC event logging with decorators for comprehensive analysis +* **Rate-Limited Logging**: Prevents log flooding during high-throughput operations +* **Maven Wrapper**: Ensures consistent build environments across platforms + +**Note:** We purposefully **do not** use `-XX:+UseZGC` in the Azul Prime image, as C4 is the native, optimized collector for Azul Platform Prime. + +### GC Monitoring & Stress Testing + +The application includes comprehensive GC monitoring and memory pressure testing capabilities to demonstrate JVM performance differences: + +#### GC Statistics Collection + +**GCStatsService** collects real-time garbage collection metrics via JMX MXBeans: + +* **Collection Metrics**: Total collection count and time for each GC type +* **Pause Time Analysis**: Individual pause durations with percentile calculations (P50, P95, P99, P99.9, Max) +* **Memory Usage**: Heap memory utilization (total, used, free) +* **Recent Pause History**: Last 100 pause times for trend analysis + +#### Memory Pressure Testing + +**MemoryPressureService** provides controlled memory allocation to stress test GC performance: + +**Allocation Modes:** +* **OFF**: No additional allocation +* **LOW**: 1 MB/sec - Light pressure +* **MEDIUM**: 10 MB/sec - Moderate pressure +* **HIGH**: 500 MB/sec - Heavy pressure +* **EXTREME**: 2 GB/sec - Extreme pressure + +Each mode allocates byte arrays in a background thread to create realistic memory pressure, allowing observation of: +* C4's concurrent collection vs G1GC's "stop-the-world" pauses +* Latency impact under increasing memory pressure +* Throughput degradation patterns + +#### GC Challenge Mode + +The web UI includes **GC Challenge Mode** controls that allow: +* Real-time switching between allocation modes +* Visual feedback showing current stress level +* Side-by-side pause time visualization +* Immediate observation of collector behavior under load + +This feature enables live demonstration of how Azul C4 maintains low pause times even under extreme memory pressure, while G1GC shows increasingly long pauses. + +## 📊 Monitoring & Observability + +TradeStreamEE includes comprehensive monitoring infrastructure to compare JVM performance between Azul C4 and standard G1GC configurations. + +### Monitoring Stack + +| Component | Technology | Purpose | Access | +|:-----------------------|:--------------------------|:--------------------------------|:-------------------------------------------------------| +| **Metrics Collection** | Prometheus + JMX Exporter | JVM GC metrics, memory, threads | http://localhost:9090 | +| **Visualization** | Grafana | Performance dashboards | http://localhost:3000 (admin/admin) | +| **Log Aggregation** | Loki + Promtail | Centralized log management | http://localhost:3100 | +| **Load Balancing** | Traefik | Traffic distribution + metrics | http://localhost:8080 (C4), http://localhost:9080 (G1) | + +### JVM Comparison Dashboard + +The pre-configured Grafana dashboard provides: + +* **GC Pause Time Comparison** - P99 latency comparison between C4 and G1GC +* **GC Collection Count Rate** - Collection frequency analysis +* **Heap Memory Usage** - Real-time memory utilization +* **Thread Count** - Concurrent thread monitoring +* **GC Pause Distribution** - Heatmap showing pause time patterns +* **Performance Summary** - Key metrics with threshold alerts + +### Starting the Observability Stack + +#### Option 1: Automated Setup (Recommended) + +Use the provided `start-comparison.sh` script for complete automated deployment: + +```bash +# Deploy entire JVM comparison stack +./start-comparison.sh +``` + +This script automatically: +* Creates the monitoring directory structure +* Downloads the JMX Prometheus exporter +* Builds the application and Docker images +* Creates required Docker networks +* Starts the complete monitoring stack (Prometheus, Grafana, Loki) +* Deploys both C4 and G1GC clusters with load balancers + +#### Option 2: Manual Setup + +For granular control, start components manually: + +```bash +# Create required networks +docker network create trader-network +docker network create monitoring + +# Start monitoring infrastructure +docker-compose -f docker-compose-monitoring.yml up -d + +# Start C4 cluster (Azul Prime) +docker-compose -f docker-compose-c4.yml up -d + +# Start G1 cluster (Eclipse Temurin) +docker-compose -f docker-compose-g1.yml up -d + +# View monitoring stack status +docker-compose -f docker-compose-monitoring.yml ps +``` + +#### Stopping the Comparison + +Use the provided stop script: + +```bash +# Stop all comparison services +./stop-comparison.sh + +# Stop all comparison services and remove volumes +./stop-comparison.sh --prune ``` -* **Note:** We purposefully **do not** use `-XX:+UseZGC` in the optimized image, as C4 is the native collector for Azul Prime. +### Access Points + +After starting the observability stack: + +* **Grafana Dashboard**: http://localhost:3000 (admin/admin) +* **C4 Application**: http://localhost:8080 (via Traefik load balancer) +* **G1 Application**: http://localhost:9080 (via Traefik load balancer) +* **Prometheus**: http://localhost:9090 +* **Individual C4 instances**: http://localhost:8081, http://localhost:8082, http://localhost:8083 +* **Individual G1 instances**: http://localhost:9081, http://localhost:9082, http://localhost:9083 + +### Monitoring Configuration + +#### JMX Exporter + +Each JVM instance runs a JMX exporter agent that exposes: +* Garbage collection metrics (pause times, collection counts) +* Memory pool usage (heap/non-heap) +* Thread information +* Custom application metrics + +#### Prometheus Configuration + +The Prometheus setup (`monitoring/prometheus/prometheus.yml`) scrapes: +* JMX metrics from all JVM instances (ports 9010-9022) +* Traefik metrics for load balancer performance +* Self-monitoring metrics + +#### Log Collection + +Promtail automatically collects and ships container logs to Loki, enabling: +* Log-based troubleshooting +* Correlation of performance issues with application events +* JVM type and instance label-based filtering + +### Stress Testing the Comparison +After deploying the observability stack, you can stress test both JVM configurations to observe the performance differences: +#### Memory Pressure API Endpoints + +```bash +# Set allocation mode for memory pressure testing +curl -X POST http://localhost:8080/api/pressure/mode/EXTREME # C4 cluster +curl -X POST http://localhost:9080/api/pressure/mode/EXTREME # G1GC cluster + +# Available modes: OFF, LOW, MEDIUM, HIGH, EXTREME + +# Get current GC statistics +curl http://localhost:8080/api/gc/stats +curl http://localhost:9080/api/gc/stats + +# Reset GC statistics +curl -X POST http://localhost:8080/api/gc/reset +curl -X POST http://localhost:9080/api/gc/reset +``` + +#### UI-Based Testing + +The web interface provides interactive controls: + +* **GC Challenge Mode Panel**: Select allocation modes with visual buttons +* **Real-time Pause Time Chart**: Shows GC pauses as they occur +* **Backend Message Rate Display**: Monitor throughput impact +* **Visual Feedback**: Immediate color-coded response to mode changes + +#### Expected Results + +The stress tests will: +1. Generate controlled allocation rates (1 MB to 2 GB per second) +2. Create realistic memory pressure scenarios +3. Allow real-time comparison of pause times between C4 and G1GC +4. Demonstrate C4's concurrent collection vs G1GC's "stop-the-world" pauses +5. Show latency impact and throughput degradation patterns +6. Visualize the "pauseless" characteristics of C4 under extreme load + +**Sample GC Stats Response:** + +```json +{ + "gcName": "C4", + "collectionCount": 1543, + "collectionTime": 8934, + "lastPauseDuration": 0.5, + "percentiles": { + "p50": 0.3, + "p95": 1.2, + "p99": 2.8, + "p999": 5.6, + "max": 12.4 + }, + "totalMemory": 8589934592, + "usedMemory": 3221225472, + "freeMemory": 5368709120 +} +``` -## 📊 Monitoring & Metrics +## 📊 Application Metrics The application exposes a lightweight REST endpoint for health checks and internal metrics. @@ -247,8 +472,6 @@ The application exposes a lightweight REST endpoint for health checks and intern } ``` - - ## 📂 Project Structure ```text @@ -257,13 +480,98 @@ src/main/ │ ├── aeron/ # Aeron Publisher, Subscriber, FragmentHandler │ ├── sbe/ # Generated SBE Codecs (Flyweights) │ ├── websocket/ # Jakarta WebSocket Endpoint -│ └── rest/ # Status Resource +│ ├── rest/ # Status, GC Stats, and Memory Pressure Resources +│ ├── gc/ # GC statistics collection and monitoring +│ ├── pressure/ # Memory pressure testing services +│ └── monitoring/ # GC monitoring services (GCPauseMonitor, MemoryPressure) ├── resources/sbe/ │ └── market-data.xml # SBE Schema Definition └── webapp/ └── index.html # Dashboard UI (Chart.js + WebSocket) + +monitoring/ +├── grafana/ +│ ├── provisioning/ # Grafana datasources and dashboard configs +│ └── dashboards/ # Pre-configured JVM comparison dashboard +├── jmx-exporter/ # JMX exporter configuration and JAR +├── prometheus/ # Prometheus configuration +├── loki/ # Loki log aggregation config +└── promtail/ # Promtail log shipping config + +start-comparison.sh # Automated deployment script for JVM comparison +stop-comparison.sh # Stop script for comparison services +docker-compose-c4.yml # Azul Prime C4 cluster setup +docker-compose-g1.yml # Eclipse Temurin G1GC cluster setup +docker-compose-monitoring.yml # Monitoring stack (Prometheus, Grafana, Loki) +Dockerfile.scale # Multi-stage build for C4 instances +Dockerfile.scale.standard # Build for G1GC instances ``` +## 🧪 Testing & Quality Assurance + +TradeStreamEE includes a comprehensive testing infrastructure designed to ensure reliability and performance validation. + +### Test Framework Stack + +| Component | Technology | Purpose | +|-------------------------|-----------------------------|---------------------------------| +| **Unit Testing** | JUnit 5 + Mockito + AssertJ | Core component validation | +| **Integration Testing** | Custom framework | Service layer interactions | +| **Performance Testing** | JMH + Custom utilities | Benchmarking and load testing | +| **Code Coverage** | JaCoCo Maven Plugin | Coverage analysis and reporting | + +### Quick Test Execution + +```bash +# Quick test (unit tests only, ~30 seconds) +./test.sh quick + +# Full test suite (unit + integration, 2-5 minutes) +./test.sh full + +# Maven commands +./mvnw test # Unit tests +./mvnw jacoco:report # Generate coverage report +``` + +### Current Test Coverage + +**✅ Working Tests (19/19 passing):** +- **BasicFunctionalityTest**: Core components and allocation modes +- **MarketDataFragmentHandlerTest**: SBE message processing +- **MarketDataBroadcasterTest**: WebSocket session management + +**📊 Coverage Metrics:** +- **Tests**: 19 unit tests with 100% pass rate +- **Instruction Coverage**: ~45% (core components) +- **Test Execution**: < 30 seconds for quick run + +### Test Categories + +1. **Unit Tests**: Core component testing in isolation +2. **Integration Tests**: Service layer interactions +3. **Performance Tests**: Load testing and benchmarks +4. **Memory Pressure Tests**: GC behavior validation + +### Test Utilities + +**GCTestUtil**: Provides GC testing and memory pressure utilities: + +```java +// Capture GC statistics +GCTestUtil.GCStatistics before = GCTestUtil.captureInitialStats(); + +// Create controlled memory pressure +GCTestUtil.allocateMemory(100); // 100MB + +// Analyze GC impact +GCTestUtil.GCStatistics after = GCTestUtil.calculateDelta(before); +``` + +### Testing Documentation + +For detailed testing information, see: [TESTING.md](TESTING.md) - Complete testing guide with examples and best practices. + ## 📜 License -This project is a reference implementation provided for demonstration purposes. \ No newline at end of file +This project is a reference implementation provided for demonstration purposes. diff --git a/docker-compose-c4.yml b/docker-compose-c4.yml new file mode 100644 index 0000000..3469212 --- /dev/null +++ b/docker-compose-c4.yml @@ -0,0 +1,141 @@ +services: + traefik-c4: + image: traefik:v3.6.5 + container_name: trader-traefik-c4 + command: + - "--api.dashboard=true" + - "--api.insecure=true" + - "--providers.docker=true" + - "--providers.docker.exposedbydefault=false" + - "--providers.docker.constraints=Label(`cluster`, `c4`)" + - "--entrypoints.web.address=:80" + - "--metrics.prometheus=true" + - "--metrics.prometheus.addServicesLabels=true" + ports: + - "8080:80" + - "8084:8080" + volumes: + - /var/run/docker.sock:/var/run/docker.sock:ro + networks: + - trader-network + - monitoring + labels: + - "jvm_type=azul-c4" + restart: unless-stopped + + trader-stream-c4-1: + image: trader-stream-ee:c4 + build: + context: . + dockerfile: Dockerfile.scale + container_name: trader-stream-c4-1 + hostname: trader-stream-c4-1 + ports: + - "8081:8080" + - "9010:9010" # JMX Exporter + expose: + - "5701" + shm_size: 512m + environment: + - TRADER_INGESTION_MODE=AERON + - PAYARA_INSTANCE_NAME=c4-instance-1 + - HAZELCAST_MEMBER_NAME=trader-stream-c4-1 + - ENABLE_PUBLISHER=true + - JVM_TYPE=azul-c4 + - JAVA_OPTS=-Xms4g -Xmx4g + -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -XX:+AlwaysPreTouch + -XX:+UseTransparentHugePages + -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml + -Djava.net.preferIPv4Stack=true + volumes: + - ./monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar:/opt/payara/jmx_prometheus_javaagent.jar:ro + - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro + - ./monitoring/logs/c4-1:/opt/payara/logs + labels: + - "traefik.enable=true" + - "cluster=c4" + - "traefik.http.routers.trader-stream-c4.rule=PathPrefix(`/`)" + - "traefik.http.services.trader-stream-c4.loadbalancer.server.port=8080" + - "jvm_type=azul-c4" + - "instance=c4-1" + networks: + - trader-network + - monitoring + restart: unless-stopped + + trader-stream-c4-2: + image: trader-stream-ee:c4 + container_name: trader-stream-c4-2 + hostname: trader-stream-c4-2 + ports: + - "8082:8080" + - "9011:9010" + expose: + - "5701" + shm_size: 512m + environment: + - TRADER_INGESTION_MODE=AERON + - PAYARA_INSTANCE_NAME=c4-instance-2 + - HAZELCAST_MEMBER_NAME=trader-stream-c4-2 + - ENABLE_PUBLISHER=false + - JVM_TYPE=azul-c4 + - JAVA_OPTS=-Xms4g -Xmx4g + -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml + volumes: + - ./monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar:/opt/payara/jmx_prometheus_javaagent.jar:ro + - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro + - ./monitoring/logs/c4-2:/opt/payara/logs + labels: + - "traefik.enable=true" + - "cluster=c4" + - "traefik.http.routers.trader-stream-c4.rule=PathPrefix(`/`)" + - "traefik.http.services.trader-stream-c4.loadbalancer.server.port=8080" + - "jvm_type=azul-c4" + - "instance=c4-2" + networks: + - trader-network + - monitoring + restart: unless-stopped + + trader-stream-c4-3: + image: trader-stream-ee:c4 + container_name: trader-stream-c4-3 + hostname: trader-stream-c4-3 + ports: + - "8083:8080" + - "9012:9010" + expose: + - "5701" + shm_size: 512m + environment: + - TRADER_INGESTION_MODE=AERON + - PAYARA_INSTANCE_NAME=c4-instance-3 + - HAZELCAST_MEMBER_NAME=trader-stream-c4-3 + - ENABLE_PUBLISHER=false + - JVM_TYPE=azul-c4 + - JAVA_OPTS=-Xms4g -Xmx4g + -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml + volumes: + - ./monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar:/opt/payara/jmx_prometheus_javaagent.jar:ro + - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro + - ./monitoring/logs/c4-3:/opt/payara/logs + labels: + - "traefik.enable=true" + - "cluster=c4" + - "traefik.http.routers.trader-stream-c4.rule=PathPrefix(`/`)" + - "traefik.http.services.trader-stream-c4.loadbalancer.server.port=8080" + - "jvm_type=azul-c4" + - "instance=c4-3" + networks: + - trader-network + - monitoring + restart: unless-stopped + +networks: + trader-network: + external: true + monitoring: + external: true diff --git a/docker-compose-g1.yml b/docker-compose-g1.yml new file mode 100644 index 0000000..74a7048 --- /dev/null +++ b/docker-compose-g1.yml @@ -0,0 +1,144 @@ +services: + traefik-g1: + image: traefik:v3.6.5 + container_name: trader-traefik-g1 + command: + - "--api.dashboard=true" + - "--api.insecure=true" + - "--providers.docker=true" + - "--providers.docker.exposedbydefault=false" + - "--providers.docker.constraints=Label(`cluster`, `g1`)" + - "--entrypoints.web.address=:80" + - "--metrics.prometheus=true" + - "--metrics.prometheus.addServicesLabels=true" + ports: + - "9080:80" + - "9084:8080" + volumes: + - /var/run/docker.sock:/var/run/docker.sock:ro + networks: + - trader-network + - monitoring + labels: + - "jvm_type=eclipse-temurin-g1" + restart: unless-stopped + + trader-stream-g1-1: + image: trader-stream-ee:g1 + build: + context: . + dockerfile: Dockerfile.scale.standard + container_name: trader-stream-g1-1 + hostname: trader-stream-g1-1 + ports: + - "9081:8080" + - "9020:9010" # JMX Exporter + expose: + - "5701" + shm_size: 512m + environment: + - TRADER_INGESTION_MODE=AERON + - PAYARA_INSTANCE_NAME=g1-instance-1 + - HAZELCAST_MEMBER_NAME=trader-stream-g1-1 + - ENABLE_PUBLISHER=true + - JVM_TYPE=eclipse-temurin-g1 + - JAVA_OPTS=-Xms4g -Xmx4g + -XX:+UseG1GC + -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -XX:+AlwaysPreTouch + -XX:+UseTransparentHugePages + -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml + -Djava.net.preferIPv4Stack=true + volumes: + - ./monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar:/opt/payara/jmx_prometheus_javaagent.jar:ro + - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro + - ./monitoring/logs/g1-1:/opt/payara/logs + labels: + - "traefik.enable=true" + - "cluster=g1" + - "traefik.http.routers.trader-stream-g1.rule=PathPrefix(`/`)" + - "traefik.http.services.trader-stream-g1.loadbalancer.server.port=8080" + - "jvm_type=eclipse-temurin-g1" + - "instance=g1-1" + networks: + - trader-network + - monitoring + restart: unless-stopped + + trader-stream-g1-2: + image: trader-stream-ee:g1 + container_name: trader-stream-g1-2 + hostname: trader-stream-g1-2 + ports: + - "9082:8080" + - "9021:9010" + expose: + - "5701" + shm_size: 512m + environment: + - TRADER_INGESTION_MODE=AERON + - PAYARA_INSTANCE_NAME=g1-instance-2 + - HAZELCAST_MEMBER_NAME=trader-stream-g1-2 + - ENABLE_PUBLISHER=false + - JVM_TYPE=eclipse-temurin-g1 + - JAVA_OPTS=-Xms4g -Xmx4g + -XX:+UseG1GC + -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml + volumes: + - ./monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar:/opt/payara/jmx_prometheus_javaagent.jar:ro + - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro + - ./monitoring/logs/g1-2:/opt/payara/logs + labels: + - "traefik.enable=true" + - "cluster=g1" + - "traefik.http.routers.trader-stream-g1.rule=PathPrefix(`/`)" + - "traefik.http.services.trader-stream-g1.loadbalancer.server.port=8080" + - "jvm_type=eclipse-temurin-g1" + - "instance=g1-2" + networks: + - trader-network + - monitoring + restart: unless-stopped + + trader-stream-g1-3: + image: trader-stream-ee:g1 + container_name: trader-stream-g1-3 + hostname: trader-stream-g1-3 + ports: + - "9083:8080" + - "9022:9010" + expose: + - "5701" + shm_size: 512m + environment: + - TRADER_INGESTION_MODE=AERON + - PAYARA_INSTANCE_NAME=g1-instance-3 + - HAZELCAST_MEMBER_NAME=trader-stream-g1-3 + - ENABLE_PUBLISHER=false + - JVM_TYPE=eclipse-temurin-g1 + - JAVA_OPTS=-Xms4g -Xmx4g + -XX:+UseG1GC + -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml + volumes: + - ./monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar:/opt/payara/jmx_prometheus_javaagent.jar:ro + - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro + - ./monitoring/logs/g1-3:/opt/payara/logs + labels: + - "traefik.enable=true" + - "cluster=g1" + - "traefik.http.routers.trader-stream-g1.rule=PathPrefix(`/`)" + - "traefik.http.services.trader-stream-g1.loadbalancer.server.port=8080" + - "jvm_type=eclipse-temurin-g1" + - "instance=g1-3" + networks: + - trader-network + - monitoring + restart: unless-stopped + +networks: + trader-network: + external: true + monitoring: + external: true diff --git a/docker-compose-monitoring.yml b/docker-compose-monitoring.yml new file mode 100644 index 0000000..bce2738 --- /dev/null +++ b/docker-compose-monitoring.yml @@ -0,0 +1,82 @@ +services: + # Prometheus - Metrics Collection + prometheus: + image: prom/prometheus:latest + container_name: trader-prometheus + command: + - '--config.file=/etc/prometheus/prometheus.yml' + - '--storage.tsdb.path=/prometheus' + - '--storage.tsdb.retention.time=30d' + - '--web.console.libraries=/usr/share/prometheus/console_libraries' + - '--web.console.templates=/usr/share/prometheus/consoles' + ports: + - "9090:9090" + volumes: + - ./monitoring/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml:ro + - prometheus-data:/prometheus + networks: + - trader-network + - monitoring + restart: unless-stopped + + # Grafana - Visualization + grafana: + image: grafana/grafana:latest + container_name: trader-grafana + ports: + - "3000:3000" + environment: + - GF_SECURITY_ADMIN_USER=admin + - GF_SECURITY_ADMIN_PASSWORD=admin + - GF_USERS_ALLOW_SIGN_UP=false + - GF_INSTALL_PLUGINS=grafana-piechart-panel + volumes: + - grafana-data:/var/lib/grafana + - ./monitoring/grafana/provisioning:/etc/grafana/provisioning:ro + - ./monitoring/grafana/dashboards:/var/lib/grafana/dashboards:ro + networks: + - monitoring + restart: unless-stopped + depends_on: + - prometheus + - loki + + # Loki - Log Aggregation + loki: + image: grafana/loki:latest + container_name: trader-loki + ports: + - "3100:3100" + command: -config.file=/etc/loki/local-config.yaml + volumes: + - ./monitoring/loki/loki-config.yml:/etc/loki/local-config.yaml:ro + - loki-data:/loki + networks: + - monitoring + restart: unless-stopped + + # Promtail - Log Shipper (for Docker logs) + promtail: + image: grafana/promtail:latest + container_name: trader-promtail + command: -config.file=/etc/promtail/config.yml + volumes: + - ./monitoring/promtail/promtail-config.yml:/etc/promtail/config.yml:ro + - /var/lib/docker/containers:/var/lib/docker/containers:ro + - /var/run/docker.sock:/var/run/docker.sock + networks: + - monitoring + restart: unless-stopped + depends_on: + - loki + +volumes: + prometheus-data: + grafana-data: + loki-data: + +networks: + trader-network: + external: true + monitoring: + driver: bridge diff --git a/docker-compose-scale.yml b/docker-compose-scale.yml new file mode 100644 index 0000000..92dc70b --- /dev/null +++ b/docker-compose-scale.yml @@ -0,0 +1,211 @@ +services: + # Traefik Load Balancer + traefik: + image: traefik:v3.6.5 + container_name: trader-traefik + command: + # API and dashboard + - "--api.dashboard=true" + - "--api.insecure=true" + # Providers + - "--providers.docker=true" + - "--providers.docker.exposedbydefault=false" + - "--providers.docker.network=trader-stream-ee_trader-network" + # Entrypoints + - "--entrypoints.web.address=:80" + # Access logs + - "--accesslog=true" + # Metrics + - "--metrics.prometheus=true" + # Health check + - "--ping=true" + # Debug logging + - "--log.level=DEBUG" + ports: + - "8080:80" # Application traffic + - "8084:8080" # Traefik dashboard + volumes: + - /var/run/docker.sock:/var/run/docker.sock:ro + networks: + - trader-network + restart: unless-stopped + healthcheck: + test: ["CMD", "traefik", "healthcheck", "--ping"] + interval: 10s + timeout: 5s + retries: 3 + + # Payara Micro Instance 1 (Publisher enabled for GC stress testing) + trader-stream-1: + image: trader-stream-ee:scale + build: + context: . + dockerfile: ${DOCKERFILE:-Dockerfile.scale} + container_name: trader-stream-1 + hostname: trader-stream-1 + ports: + - "8081:8080" # Direct access to instance-1 + expose: + - "5701" + shm_size: 512m + environment: + - TRADER_INGESTION_MODE=${MODE:-AERON} + - PAYARA_INSTANCE_NAME=instance-1 + - HAZELCAST_MEMBER_NAME=trader-stream-1 + - ENABLE_PUBLISHER=true + labels: + - "traefik.enable=true" + - "traefik.http.routers.trader-stream.rule=PathPrefix(`/`)" + - "traefik.http.routers.trader-stream.entrypoints=web" + - "traefik.http.services.trader-stream.loadbalancer.server.port=8080" + # Health check + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.path=/trader-stream-ee/api/status" + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.interval=30s" + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.timeout=10s" + # Sticky sessions for WebSocket (optional) + - "traefik.http.services.trader-stream.loadbalancer.sticky.cookie=true" + - "traefik.http.services.trader-stream.loadbalancer.sticky.cookie.name=trader-session" + healthcheck: + test: ["CMD", "wget", "--spider", "-q", "http://localhost:8080/trader-stream-ee/api/status"] + interval: 30s + timeout: 10s + retries: 3 + start_period: 60s + networks: + - trader-network + restart: unless-stopped + + # Payara Micro Instance 2 (Publisher enabled for GC stress testing) + trader-stream-2: + image: trader-stream-ee:scale + build: + context: . + dockerfile: ${DOCKERFILE:-Dockerfile.scale} + container_name: trader-stream-2 + hostname: trader-stream-2 + ports: + - "8082:8080" # Direct access to instance-2 + expose: + - "5701" + shm_size: 512m + environment: + - TRADER_INGESTION_MODE=${MODE:-AERON} + - PAYARA_INSTANCE_NAME=instance-2 + - HAZELCAST_MEMBER_NAME=trader-stream-2 + - ENABLE_PUBLISHER=true + labels: + - "traefik.enable=true" + - "traefik.http.routers.trader-stream.rule=PathPrefix(`/`)" + - "traefik.http.routers.trader-stream.entrypoints=web" + - "traefik.http.services.trader-stream.loadbalancer.server.port=8080" + # Health check + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.path=/trader-stream-ee/api/status" + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.interval=30s" + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.timeout=10s" + # Sticky sessions for WebSocket (optional) + - "traefik.http.services.trader-stream.loadbalancer.sticky.cookie=true" + - "traefik.http.services.trader-stream.loadbalancer.sticky.cookie.name=trader-session" + healthcheck: + test: ["CMD", "wget", "--spider", "-q", "http://localhost:8080/trader-stream-ee/api/status"] + interval: 30s + timeout: 10s + retries: 3 + start_period: 60s + networks: + - trader-network + restart: unless-stopped + + # Payara Micro Instance 3 (Publisher enabled for GC stress testing) + trader-stream-3: + image: trader-stream-ee:scale + build: + context: . + dockerfile: ${DOCKERFILE:-Dockerfile.scale} + container_name: trader-stream-3 + hostname: trader-stream-3 + ports: + - "8083:8080" # Direct access to instance-3 + expose: + - "5701" + shm_size: 512m + environment: + - TRADER_INGESTION_MODE=${MODE:-AERON} + - PAYARA_INSTANCE_NAME=instance-3 + - HAZELCAST_MEMBER_NAME=trader-stream-3 + - ENABLE_PUBLISHER=true + labels: + - "traefik.enable=true" + - "traefik.http.routers.trader-stream.rule=PathPrefix(`/`)" + - "traefik.http.routers.trader-stream.entrypoints=web" + - "traefik.http.services.trader-stream.loadbalancer.server.port=8080" + # Health check + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.path=/trader-stream-ee/api/status" + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.interval=30s" + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.timeout=10s" + # Sticky sessions for WebSocket (optional) + - "traefik.http.services.trader-stream.loadbalancer.sticky.cookie=true" + - "traefik.http.services.trader-stream.loadbalancer.sticky.cookie.name=trader-session" + healthcheck: + test: ["CMD", "wget", "--spider", "-q", "http://localhost:8080/trader-stream-ee/api/status"] + interval: 30s + timeout: 10s + retries: 3 + start_period: 60s + networks: + - trader-network + restart: unless-stopped + + # Scalable Payara Micro Instances + # Use this service for dynamic scaling: docker compose -f docker-compose-scale.yml up -d --scale trader-stream=5 + trader-stream: + image: trader-stream-ee:scale + build: + context: . + dockerfile: ${DOCKERFILE:-Dockerfile.scale} + # Note: No container_name or hostname - allows multiple instances + expose: + - "8080" + - "5701" + shm_size: 512m + environment: + - TRADER_INGESTION_MODE=${MODE:-AERON} + # Instance name will be auto-generated by Docker (e.g., trader-stream-1, trader-stream-2) + labels: + - "traefik.enable=true" + - "traefik.http.routers.trader-stream.rule=PathPrefix(`/`)" + - "traefik.http.routers.trader-stream.entrypoints=web" + - "traefik.http.services.trader-stream.loadbalancer.server.port=8080" + # Health check + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.path=/trader-stream-ee/api/status" + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.interval=30s" + - "traefik.http.services.trader-stream.loadbalancer.healthcheck.timeout=10s" + # Sticky sessions for WebSocket + - "traefik.http.services.trader-stream.loadbalancer.sticky.cookie=true" + - "traefik.http.services.trader-stream.loadbalancer.sticky.cookie.name=trader-session" + healthcheck: + test: ["CMD", "wget", "--spider", "-q", "http://localhost:8080/trader-stream-ee/api/status"] + interval: 30s + timeout: 10s + retries: 3 + start_period: 60s + networks: + - trader-network + restart: unless-stopped + deploy: + replicas: 0 # Start with 0, use --scale to set desired count + + # Optional: Hazelcast Management Center for cluster monitoring + # Uncomment to enable + # hazelcast-mc: + # image: hazelcast/management-center:latest + # container_name: hazelcast-mc + # ports: + # - "8082:8080" + # networks: + # - trader-network + # environment: + # - MC_INIT_CMD=./bin/mc-conf.sh cluster add --cluster-name=payara-cluster --member-addresses=trader-stream-1:5701,trader-stream-2:5701,trader-stream-3:5701 + +networks: + trader-network: + driver: bridge diff --git a/monitor-oom.sh b/monitor-oom.sh new file mode 100755 index 0000000..9d18dff --- /dev/null +++ b/monitor-oom.sh @@ -0,0 +1,323 @@ +#!/bin/bash + +############################################################################# +# OOM Monitor for Payara Micro Containers +# +# This script monitors Payara Micro containers for Out of Memory errors +# and automatically restarts containers when OOM is detected. +# +# Usage: +# ./monitor-oom.sh [interval_minutes] [container_prefix] +# +# Arguments: +# interval_minutes - How often to check (default: 5 minutes) +# container_prefix - Container name prefix to monitor (default: trader-stream-) +# +# Examples: +# ./monitor-oom.sh # Check every 5 minutes +# ./monitor-oom.sh 2 # Check every 2 minutes +# ./monitor-oom.sh 10 trader-stream- # Check every 10 minutes for trader-stream-* containers +# +# To run in background: +# ./monitor-oom.sh & +# echo $! > monitor-oom.pid +# +# To stop: +# kill $(cat monitor-oom.pid) +# +############################################################################# + +set -euo pipefail + +# Show help if requested +if [ "${1:-}" = "--help" ] || [ "${1:-}" = "-h" ] || [ "${1:-}" = "help" ]; then + echo "================================================" + echo " Payara Micro OOM Monitor - Help" + echo "================================================" + echo "" + echo "Usage:" + echo " ./monitor-oom.sh [interval_minutes] [container_prefix]" + echo "" + echo "Arguments:" + echo " interval_minutes - How often to check for OOM errors (default: 5 minutes)" + echo " container_prefix - Container name prefix to monitor (default: trader-stream-)" + echo "" + echo "Examples:" + echo " ./monitor-oom.sh # Check every 5 minutes for trader-stream-* containers" + echo " ./monitor-oom.sh 2 # Check every 2 minutes" + echo " ./monitor-oom.sh 10 trader-stream- # Check every 10 minutes for trader-stream-* containers" + echo "" + echo "Background Execution:" + echo " ./monitor-oom.sh & # Run in background" + echo " echo \$! > monitor-oom.pid # Save process ID for later" + echo " kill \$(cat monitor-oom.pid) # Stop the monitor" + echo "" + echo "Features:" + echo " - Monitors Docker container logs for OOM errors and WebSocket exceptions" + echo " - Automatically restarts containers when errors are detected" + echo " - Logs all activity to oom-monitor.log" + echo " - Automatic log rotation when file exceeds 10MB" + echo " - Waits for container health checks after restart" + echo "" + echo "Monitored Error Patterns:" + echo " - OutOfMemoryError (all variants)" + echo " - GC overhead limit exceeded" + echo " - WebSocket/Tyrus connection errors" + echo " - Broken pipe / Connection reset" + echo "" + echo "Signals:" + echo " Ctrl+C or SIGTERM - Gracefully stop monitoring" + echo "" + exit 0 +fi + +# Configuration +CHECK_INTERVAL_MINUTES=${1:-5} +CONTAINER_PREFIX=${2:-trader-stream-} +LOG_FILE="oom-monitor.log" +MAX_LOG_SIZE=10485760 # 10MB + +# OOM patterns to search for in logs +OOM_PATTERNS=( + "java.lang.OutOfMemoryError" + "OutOfMemoryError" + "Out of memory" + "GC overhead limit exceeded" + "Requested array size exceeds VM limit" + "unable to create new native thread" + "Metaspace" + # Eclipse Tyrus WebSocket exceptions that indicate container issues + "org.glassfish.tyrus" + "TyrusWebSocketEngine" + "Connection reset by peer" + "Broken pipe" + "UpgradeException" + "WebSocket connection closed" + "DeploymentException" + "HandshakeException" + "SessionException" + "Unexpected error during WebSocket" + "Failed to process WebSocket frame" + "WebSocket frame buffer overflow" +) + +# ANSI color codes +RED='\033[0;31m' +YELLOW='\033[1;33m' +GREEN='\033[0;32m' +BLUE='\033[0;34m' +NC='\033[0m' # No Color + +# Logging functions +log() { + echo -e "[$(date +'%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE" +} + +log_info() { + log "${BLUE}[INFO]${NC} $1" +} + +log_warn() { + log "${YELLOW}[WARN]${NC} $1" +} + +log_error() { + log "${RED}[ERROR]${NC} $1" +} + +log_success() { + log "${GREEN}[SUCCESS]${NC} $1" +} + +# Rotate log file if too large +rotate_log_if_needed() { + if [ -f "$LOG_FILE" ]; then + local size=$(stat -f%z "$LOG_FILE" 2>/dev/null || stat -c%s "$LOG_FILE" 2>/dev/null || echo 0) + if [ "$size" -gt "$MAX_LOG_SIZE" ]; then + cp "$LOG_FILE" "${LOG_FILE}.old" + > "$LOG_FILE" # Truncate in place + log_info "Rotated log file (size: $size bytes)" + fi + fi +} + +# Check if Docker is available +check_docker() { + if ! command -v docker &> /dev/null; then + log_error "Docker is not installed or not in PATH" + exit 1 + fi + + if ! docker ps &> /dev/null; then + log_error "Cannot connect to Docker daemon. Is Docker running?" + exit 1 + fi +} + +# Get list of containers matching prefix +get_containers() { + docker ps --filter "name=${CONTAINER_PREFIX}" --format "{{.Names}}" 2>/dev/null || true +} + +# Check if container has OOM errors in logs +check_container_oom() { + local container=$1 + local found_oom=false + local oom_pattern="" + + # Get logs from last check interval (plus buffer) + local since_time="${CHECK_INTERVAL_MINUTES}m" + local logs=$(docker logs --since "$since_time" "$container" 2>&1 || true) + + if [ -z "$logs" ]; then + return 1 + fi + + # Combine patterns for a single grep search (more efficient) + local combined_pattern=$(printf "|%s" "${OOM_PATTERNS[@]}") + combined_pattern="${combined_pattern:1}" # Remove leading pipe + + if echo "$logs" | grep -Eq "$combined_pattern"; then + found_oom=true + # Find the specific matching line for reporting + local matching_line=$(echo "$logs" | grep -E "$combined_pattern" | head -1) + log_error "OOM detected in container '$container' - Match: '$matching_line'" + + # Extract and log context around the error + local oom_lines=$(echo "$logs" | grep -B 1 -A 5 -E "$combined_pattern" | head -20) + echo "$oom_lines" | while IFS= read -r line; do + log " | $line" + done + + return 0 + fi + + return 1 +} + +# Restart container +restart_container() { + local container=$1 + + log_warn "Restarting container '$container' due to OOM..." + + if docker restart "$container" &> /dev/null; then + log_success "Container '$container' restarted successfully" + + # Wait for container to be healthy + local max_wait=60 + local waited=0 + while [ $waited -lt $max_wait ]; do + local health=$(docker inspect --format='{{.State.Health.Status}}' "$container" 2>/dev/null || echo "none") + + if [ "$health" = "healthy" ]; then + log_success "Container '$container' is healthy after restart" + return 0 + elif [ "$health" = "none" ]; then + # No healthcheck defined, just check if running + if docker ps --filter "name=$container" --filter "status=running" | grep -q "$container"; then + log_info "Container '$container' is running (no healthcheck defined)" + return 0 + fi + fi + + sleep 2 + waited=$((waited + 2)) + done + + log_warn "Container '$container' restarted but health check timed out after ${max_wait}s" + return 0 + else + log_error "Failed to restart container '$container'" + return 1 + fi +} + +# Main monitoring loop +monitor() { + log_info "Starting OOM monitor for containers matching '$CONTAINER_PREFIX*'" + log_info "Check interval: ${CHECK_INTERVAL_MINUTES} minutes" + log_info "Log file: $LOG_FILE" + log_info "Press Ctrl+C to stop" + echo "" + + local iteration=0 + + while true; do + iteration=$((iteration + 1)) + rotate_log_if_needed + + log_info "Check #${iteration} - Scanning for OOM errors..." + + local containers=$(get_containers) + + if [ -z "$containers" ]; then + log_warn "No containers found matching prefix '$CONTAINER_PREFIX'" + else + local container_count=$(echo "$containers" | wc -l | tr -d ' ') + log_info "Found $container_count container(s) to monitor" + + local oom_detected=false + local restart_count=0 + + # Check each container + while IFS= read -r container; do + if [ -n "$container" ]; then + if check_container_oom "$container"; then + oom_detected=true + if restart_container "$container"; then + restart_count=$((restart_count + 1)) + fi + fi + fi + done <<< "$containers" + + if [ "$oom_detected" = false ]; then + log_success "No OOM errors detected in any container" + else + log_warn "Total containers restarted: $restart_count" + fi + fi + + log_info "Next check in ${CHECK_INTERVAL_MINUTES} minutes..." + echo "" + + # Sleep for specified interval + sleep $((CHECK_INTERVAL_MINUTES * 60)) + done +} + +# Signal handler for graceful shutdown +cleanup() { + echo "" + log_info "Received shutdown signal. Exiting..." + exit 0 +} + +trap cleanup SIGINT SIGTERM + +# Main entry point +main() { + echo "================================================" + echo " Payara Micro OOM Monitor" + echo "================================================" + echo "" + + # Validate interval - show help if invalid + if ! [[ "$CHECK_INTERVAL_MINUTES" =~ ^[0-9]+$ ]] || [ "$CHECK_INTERVAL_MINUTES" -lt 1 ]; then + echo "Error: Invalid parameter '$CHECK_INTERVAL_MINUTES'" + echo "Check interval must be a positive integer (minutes)" + echo "" + echo "For help, run: $0 --help" + echo "" + echo "Usage: $0 [interval_minutes] [container_prefix]" + echo "Example: $0 5 trader-stream-" + exit 1 + fi + + check_docker + monitor +} + +# Run main function +main diff --git a/monitoring/grafana/dashboards/jvm-comparison.json b/monitoring/grafana/dashboards/jvm-comparison.json new file mode 100644 index 0000000..080bda3 --- /dev/null +++ b/monitoring/grafana/dashboards/jvm-comparison.json @@ -0,0 +1,184 @@ +{ + "dashboard": { + "title": "JVM Performance Comparison - C4 vs G1GC", + "tags": [ "jvm", "gc", "performance", "comparison" ], + "timezone": "browser", + "editable": true, + "panels": [ { + "id": 1, + "title": "GC Pause Time Comparison (P99)", + "type": "timeseries", + "gridPos": { + "h": 8, + "w": 12, + "x": 0, + "y": 0 + }, + "targets": [ { + "expr": "histogram_quantile(0.99, rate(jvm_gc_collection_time_ms[5m])) by (jvm_type, gc)", + "legendFormat": "{{jvm_type}} - {{gc}}", + "refId": "A" + } ], + "fieldConfig": { + "defaults": { + "unit": "ms", + "custom": { + "axisLabel": "Pause Time (ms)" + } + }, + "overrides": [ { + "matcher": { + "id": "byRegexp", + "options": ".*azul-c4.*" + }, + "properties": [ { + "id": "color", + "value": { + "mode": "fixed", + "fixedColor": "green" + } + } ] + }, { + "matcher": { + "id": "byRegexp", + "options": ".*g1.*" + }, + "properties": [ { + "id": "color", + "value": { + "mode": "fixed", + "fixedColor": "red" + } + } ] + } ] + } + }, { + "id": 2, + "title": "GC Collection Count Rate", + "type": "timeseries", + "gridPos": { + "h": 8, + "w": 12, + "x": 12, + "y": 0 + }, + "targets": [ { + "expr": "rate(jvm_gc_collection_count[5m]) by (jvm_type, gc)", + "legendFormat": "{{jvm_type}} - {{gc}}", + "refId": "A" + } ], + "fieldConfig": { + "defaults": { + "unit": "ops", + "custom": { + "axisLabel": "Collections/sec" + } + } + } + }, { + "id": 3, + "title": "Heap Memory Usage", + "type": "timeseries", + "gridPos": { + "h": 8, + "w": 12, + "x": 0, + "y": 8 + }, + "targets": [ { + "expr": "jvm_memory_heap_used by (jvm_type, instance) / jvm_memory_heap_max * 100", + "legendFormat": "{{jvm_type}} - {{instance}}", + "refId": "A" + } ], + "fieldConfig": { + "defaults": { + "unit": "percent", + "custom": { + "axisLabel": "Heap Usage %" + } + } + } + }, { + "id": 4, + "title": "Thread Count", + "type": "timeseries", + "gridPos": { + "h": 8, + "w": 12, + "x": 12, + "y": 8 + }, + "targets": [ { + "expr": "jvm_threads_current by (jvm_type, instance)", + "legendFormat": "{{jvm_type}} - {{instance}}", + "refId": "A" + } ], + "fieldConfig": { + "defaults": { + "unit": "short", + "custom": { + "axisLabel": "Thread Count" + } + } + } + }, { + "id": 5, + "title": "GC Pause Time Distribution (Heatmap)", + "type": "heatmap", + "gridPos": { + "h": 8, + "w": 24, + "x": 0, + "y": 16 + }, + "targets": [ { + "expr": "rate(jvm_gc_collection_time_ms[1m]) by (jvm_type, le)", + "legendFormat": "{{jvm_type}}", + "refId": "A", + "format": "heatmap" + } ] + }, { + "id": 6, + "title": "Performance Summary", + "type": "stat", + "gridPos": { + "h": 8, + "w": 24, + "x": 0, + "y": 24 + }, + "targets": [ { + "expr": "histogram_quantile(0.99, rate(jvm_gc_collection_time_ms[5m])) by (jvm_type)", + "legendFormat": "{{jvm_type}} P99", + "refId": "A" + }, { + "expr": "max(jvm_gc_collection_time_ms) by (jvm_type)", + "legendFormat": "{{jvm_type}} Max", + "refId": "B" + } ], + "fieldConfig": { + "defaults": { + "unit": "ms", + "thresholds": { + "mode": "absolute", + "steps": [ { + "value": 0, + "color": "green" + }, { + "value": 10, + "color": "yellow" + }, { + "value": 50, + "color": "red" + } ] + } + } + } + } ], + "refresh": "5s", + "time": { + "from": "now-30m", + "to": "now" + } + } +} \ No newline at end of file diff --git a/monitoring/grafana/provisioning/dashboards/dashboards.yml b/monitoring/grafana/provisioning/dashboards/dashboards.yml new file mode 100644 index 0000000..8984841 --- /dev/null +++ b/monitoring/grafana/provisioning/dashboards/dashboards.yml @@ -0,0 +1,12 @@ +apiVersion: 1 + +providers: + - name: 'JVM Comparison' + orgId: 1 + folder: 'Trader Stream' + type: file + disableDeletion: false + updateIntervalSeconds: 10 + allowUiUpdates: true + options: + path: /var/lib/grafana/dashboards diff --git a/monitoring/grafana/provisioning/datasources/datasources.yml b/monitoring/grafana/provisioning/datasources/datasources.yml new file mode 100644 index 0000000..3958205 --- /dev/null +++ b/monitoring/grafana/provisioning/datasources/datasources.yml @@ -0,0 +1,19 @@ +apiVersion: 1 + +datasources: + - name: Prometheus + type: prometheus + access: proxy + url: http://trader-prometheus:9090 + isDefault: true + editable: true + jsonData: + timeInterval: 15s + + - name: Loki + type: loki + access: proxy + url: http://trader-loki:3100 + editable: true + jsonData: + maxLines: 1000 diff --git a/monitoring/jmx-exporter/jmx-exporter-config.yml b/monitoring/jmx-exporter/jmx-exporter-config.yml new file mode 100644 index 0000000..a4b8208 --- /dev/null +++ b/monitoring/jmx-exporter/jmx-exporter-config.yml @@ -0,0 +1,57 @@ +# JMX Exporter Configuration for GC Metrics +--- +startDelaySeconds: 0 +lowercaseOutputName: false +lowercaseOutputLabelNames: false + +rules: + # GC Metrics + - pattern: 'java.lang<>CollectionCount' + name: jvm_gc_collection_count + labels: + gc: "$1" + jvm_type: "$2" + type: COUNTER + + - pattern: 'java.lang<>CollectionTime' + name: jvm_gc_collection_time_ms + labels: + gc: "$1" + type: COUNTER + + - pattern: 'java.lang<>LastGcInfo' + name: jvm_gc_last_info + labels: + gc: "$1" + type: GAUGE + + # Memory Metrics + - pattern: 'java.lang(.+)' + name: jvm_memory_heap_$1 + type: GAUGE + + - pattern: 'java.lang(.+)' + name: jvm_memory_nonheap_$1 + type: GAUGE + + - pattern: 'java.lang(.+)' + name: jvm_memory_pool_$2 + labels: + pool: "$1" + type: GAUGE + + # Thread Metrics + - pattern: 'java.lang<>ThreadCount' + name: jvm_threads_current + type: GAUGE + + - pattern: 'java.lang<>PeakThreadCount' + name: jvm_threads_peak + type: GAUGE + + # Application-specific metrics (if using MicroProfile Metrics) + - pattern: 'fish.payara.trader<>(.+)' + name: trader_$1_$3 + labels: + metric: "$2" + type: GAUGE diff --git a/monitoring/loki/loki-config.yml b/monitoring/loki/loki-config.yml new file mode 100644 index 0000000..0e4527e --- /dev/null +++ b/monitoring/loki/loki-config.yml @@ -0,0 +1,37 @@ +auth_enabled: false + +server: + http_listen_port: 3100 + grpc_listen_port: 9096 + +common: + path_prefix: /loki + storage: + filesystem: + chunks_directory: /loki/chunks + rules_directory: /loki/rules + replication_factor: 1 + ring: + instance_addr: 127.0.0.1 + kvstore: + store: inmemory + +schema_config: + configs: + - from: 2024-01-01 + store: boltdb-shipper + object_store: filesystem + schema: v11 + index: + prefix: index_ + period: 24h + +ruler: + alertmanager_url: http://localhost:9093 + +limits_config: + allow_structured_metadata: false + reject_old_samples: true + reject_old_samples_max_age: 168h + ingestion_rate_mb: 10 + ingestion_burst_size_mb: 20 diff --git a/monitoring/prometheus/prometheus.yml b/monitoring/prometheus/prometheus.yml new file mode 100644 index 0000000..842589a --- /dev/null +++ b/monitoring/prometheus/prometheus.yml @@ -0,0 +1,57 @@ +global: + scrape_interval: 15s + evaluation_interval: 15s + external_labels: + cluster: 'trader-stream-comparison' + +scrape_configs: + # Azul C4 Instances - JMX Metrics + - job_name: 'trader-c4-jmx' + static_configs: + - targets: + - 'trader-stream-c4-1:9010' + - 'trader-stream-c4-2:9010' + - 'trader-stream-c4-3:9010' + labels: + jvm_type: 'azul-c4' + cluster: 'c4-cluster' + metric_relabel_configs: + - source_labels: [__name__] + regex: 'jvm_.*' + action: keep + + # Eclipse Temurin G1GC Instances - JMX Metrics + - job_name: 'trader-g1-jmx' + static_configs: + - targets: + - 'trader-stream-g1-1:9010' + - 'trader-stream-g1-2:9010' + - 'trader-stream-g1-3:9010' + labels: + jvm_type: 'eclipse-temurin-g1' + cluster: 'g1-cluster' + metric_relabel_configs: + - source_labels: [__name__] + regex: 'jvm_.*' + action: keep + + # Traefik Metrics (Load Balancer) + - job_name: 'traefik-c4' + static_configs: + - targets: + - 'trader-traefik-c4:8080' + labels: + jvm_type: 'azul-c4' + + - job_name: 'traefik-g1' + static_configs: + - targets: + - 'trader-traefik-g1:8080' + labels: + jvm_type: 'eclipse-temurin-g1' + + # Prometheus Self-Monitoring + - job_name: 'prometheus' + static_configs: + - targets: + - 'localhost:9090' diff --git a/monitoring/promtail/promtail-config.yml b/monitoring/promtail/promtail-config.yml new file mode 100644 index 0000000..0596e0a --- /dev/null +++ b/monitoring/promtail/promtail-config.yml @@ -0,0 +1,67 @@ +server: + http_listen_port: 9080 + grpc_listen_port: 0 + +positions: + filename: /tmp/positions.yaml + +clients: + - url: http://trader-loki:3100/loki/api/v1/push + +scrape_configs: + # Docker container logs for C4 instances + - job_name: docker-c4 + docker_sd_configs: + - host: unix:///var/run/docker.sock + refresh_interval: 5s + filters: + - name: label + values: ["jvm_type=azul-c4"] + relabel_configs: + - source_labels: ['__meta_docker_container_name'] + regex: '/(.*)' + target_label: 'container' + - source_labels: ['__meta_docker_container_log_stream'] + target_label: 'stream' + - source_labels: ['__meta_docker_container_label_jvm_type'] + target_label: 'jvm_type' + - source_labels: ['__meta_docker_container_label_instance'] + target_label: 'instance' + + # Docker container logs for G1 instances + - job_name: docker-g1 + docker_sd_configs: + - host: unix:///var/run/docker.sock + refresh_interval: 5s + filters: + - name: label + values: ["jvm_type=eclipse-temurin-g1"] + relabel_configs: + - source_labels: ['__meta_docker_container_name'] + regex: '/(.*)' + target_label: 'container' + - source_labels: ['__meta_docker_container_log_stream'] + target_label: 'stream' + - source_labels: ['__meta_docker_container_label_jvm_type'] + target_label: 'jvm_type' + - source_labels: ['__meta_docker_container_label_instance'] + target_label: 'instance' + + # GC log files (if writing to files) + - job_name: gc-logs-c4 + static_configs: + - targets: + - localhost + labels: + job: gc-logs + jvm_type: azul-c4 + __path__: /var/log/trader/c4-*/gc.log + + - job_name: gc-logs-g1 + static_configs: + - targets: + - localhost + labels: + job: gc-logs + jvm_type: eclipse-temurin-g1 + __path__: /var/log/trader/g1-*/gc.log diff --git a/pom.xml b/pom.xml index 85220be..ab96153 100644 --- a/pom.xml +++ b/pom.xml @@ -15,6 +15,7 @@ 11.0.0 7.2025.2 payara6 + 5.5.0 1.46.7 1.34.0 @@ -48,6 +49,12 @@ payara-api provided + + + com.hazelcast + hazelcast + provided + io.aeron @@ -86,6 +93,18 @@ 3.27.6 test + + + + org.glassfish.jersey.core + jersey-common + test + + + org.glassfish.jersey.inject + jersey-hk2 + test + @@ -164,61 +183,183 @@ false + + + maven-resources-plugin + 3.3.1 + + + + + + + org.apache.maven.plugins + maven-surefire-plugin + 3.2.3 + + + **/*Test.java + + + ${surefire.argLine} + + + - com.googlecode.maven-download-plugin - download-maven-plugin - 1.13.0 + org.jacoco + jacoco-maven-plugin + 0.8.14 - swagger-ui - generate-resources + prepare-agent - wget + prepare-agent - true - https://github.com/swagger-api/swagger-ui/archive/master.tar.gz - true - ${project.build.directory} + surefire.argLine + + + + prepare-agent-integration + + prepare-agent-integration + + + failsafe.argLine + + + + report + test + + report + + + + report-integration + verify + + report-integration + + + + check + + check + + + + + BUNDLE + + + INSTRUCTION + COVEREDRATIO + 0.70 + + + BRANCH + COVEREDRATIO + 0.60 + + + CLASS + COVEREDRATIO + 0.80 + + + + - - - - maven-resources-plugin - 3.3.1 - - copy-swagger-resources - process-resources + merge-results + verify - copy-resources + merge - ${project.build.directory}/${project.artifactId}-${project.version} - - - ${project.build.directory}/swagger-ui-master/dist - true - - index.html - - - + + + ${project.build.directory} + + *.exec + + + + ${project.build.directory}/jacoco/merged.exec - + + org.apache.maven.plugins - maven-surefire-plugin + maven-failsafe-plugin 3.2.3 + + + + integration-test + verify + + + - **/*Test.java + **/integration/*Test.java + ${failsafe.argLine} -Xmx4g -XX:+UseG1GC + + ${project.basedir}/src/test/resources/logback-test.xml + + + + + + + com.diffplug.spotless + spotless-maven-plugin + 3.0.0 + + + + 1.17.0 + + + + + + + + + src/**/*.json + monitoring/**/*.json + + + 2.15.2 + + true + + + + + + + **/*.md + + + + + + + check + + compile + + @@ -238,6 +379,88 @@ + + + coverage + + + + org.jacoco + jacoco-maven-plugin + 0.8.12 + + + prepare-agent + + prepare-agent + + + + report + test + + report + + + + XML + HTML + + + + + check + + check + + + + + BUNDLE + + + INSTRUCTION + COVEREDRATIO + 0.15 + + + CLASS + MISSEDCOUNT + 40 + + + + + + + + + + + + + + + quick-test + + + + org.apache.maven.plugins + maven-surefire-plugin + + + **/*Test.java + + + **/integration/** + **/*LoadTest.java + **/*BenchmarkTest.java + + + + + + diff --git a/src/main/java/fish/payara/resource/HelloWorldResource.java b/src/main/java/fish/payara/resource/HelloWorldResource.java index b82e4f5..42aa048 100644 --- a/src/main/java/fish/payara/resource/HelloWorldResource.java +++ b/src/main/java/fish/payara/resource/HelloWorldResource.java @@ -12,42 +12,45 @@ import org.eclipse.microprofile.metrics.annotation.Counted; import org.eclipse.microprofile.metrics.annotation.Timed; import org.eclipse.microprofile.openapi.annotations.Operation; +import org.eclipse.microprofile.openapi.annotations.parameters.Parameter; import org.eclipse.microprofile.openapi.annotations.responses.APIResponse; import org.eclipse.microprofile.openapi.annotations.responses.APIResponses; -import org.eclipse.microprofile.openapi.annotations.parameters.Parameter; @Path("hello") public class HelloWorldResource { - @Inject - @ConfigProperty(name = "defaultName", defaultValue = "world") - private String defaultName; + @Inject + @ConfigProperty(name = "defaultName", defaultValue = "world") + private String defaultName; - @GET - @Operation(summary = "Get a personalized greeting") - @APIResponses(value = { + @GET + @Operation(summary = "Get a personalized greeting") + @APIResponses( + value = { @APIResponse(responseCode = "200", description = "Successful operation"), @APIResponse(responseCode = "400", description = "Invalid input") - }) - @Counted(name = "helloEndpointCount", description = "Count of calls to the hello endpoint") - @Timed(name = "helloEndpointTime", description = "Time taken to execute the hello endpoint") - @Timeout(3000) // Timeout after 3 seconds - @Retry(maxRetries = 3) // Retry the request up to 3 times on failure - @Fallback(fallbackMethod = "fallbackMethod") - public Response hello(@QueryParam("name") @Parameter(name = "name", description = "Name to include in the greeting", required = false, example = "John") String name) { - if ((name == null) || name.trim().isEmpty()) { - name = defaultName; - } - return Response - .ok(name) - .build(); - } - - public Response fallbackMethod(@QueryParam("name") String name) { - // Fallback logic when the hello method fails or exceeds retries - return Response - .ok("Fallback data") - .build(); + }) + @Counted(name = "helloEndpointCount", description = "Count of calls to the hello endpoint") + @Timed(name = "helloEndpointTime", description = "Time taken to execute the hello endpoint") + @Timeout(3000) // Timeout after 3 seconds + @Retry(maxRetries = 3) // Retry the request up to 3 times on failure + @Fallback(fallbackMethod = "fallbackMethod") + public Response hello( + @QueryParam("name") + @Parameter( + name = "name", + description = "Name to include in the greeting", + required = false, + example = "John") + String name) { + if ((name == null) || name.trim().isEmpty()) { + name = defaultName; } + return Response.ok(name).build(); + } -} \ No newline at end of file + public Response fallbackMethod(@QueryParam("name") String name) { + // Fallback logic when the hello method fails or exceeds retries + return Response.ok("Fallback data").build(); + } +} diff --git a/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java b/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java index 192229d..9202bb4 100644 --- a/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java +++ b/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java @@ -5,181 +5,158 @@ import io.aeron.Subscription; import io.aeron.driver.MediaDriver; import io.aeron.driver.ThreadingMode; -import jakarta.annotation.PostConstruct; import jakarta.annotation.PreDestroy; -import jakarta.ejb.Singleton; -import jakarta.ejb.Startup; import jakarta.enterprise.concurrent.ManagedExecutorService; import jakarta.enterprise.context.ApplicationScoped; import jakarta.enterprise.context.Initialized; import jakarta.enterprise.event.Observes; import jakarta.inject.Inject; -import org.agrona.CloseHelper; -import org.agrona.concurrent.BackoffIdleStrategy; -import org.agrona.concurrent.IdleStrategy; - import java.util.concurrent.Future; import java.util.concurrent.TimeUnit; import java.util.logging.Level; import java.util.logging.Logger; +import org.agrona.CloseHelper; +import org.agrona.concurrent.BackoffIdleStrategy; +import org.agrona.concurrent.IdleStrategy; /** - * Aeron Ingress Singleton Bean - * Launches an embedded MediaDriver and subscribes to market data stream. - * Uses SBE decoders for zero-copy message processing. - * Runs in a dedicated thread to continuously poll for messages. - * IMPORTANT: This must initialize BEFORE MarketDataPublisher + * Aeron Ingress Singleton Bean Launches an embedded MediaDriver and subscribes to market data + * stream. Uses SBE decoders for zero-copy message processing. Runs in a dedicated thread to + * continuously poll for messages. IMPORTANT: This must initialize BEFORE MarketDataPublisher */ @ApplicationScoped public class AeronSubscriberBean { - private static final Logger LOGGER = Logger.getLogger(AeronSubscriberBean.class.getName()); - - private static final String CHANNEL = "aeron:ipc"; - private static final int STREAM_ID = 1001; - private static final int FRAGMENT_LIMIT = 10; - - private MediaDriver mediaDriver; - private Aeron aeron; - private Subscription subscription; - private volatile boolean running = false; - private Future pollingFuture; - - @Inject - private MarketDataFragmentHandler fragmentHandler; - - @Inject - @VirtualThreadExecutor - private ManagedExecutorService managedExecutorService; - - void contextInitialized(@Observes @Initialized(ApplicationScoped.class) Object event) { - init(); + private static final Logger LOGGER = Logger.getLogger(AeronSubscriberBean.class.getName()); + + private static final String CHANNEL = "aeron:ipc"; + private static final int STREAM_ID = 1001; + private static final int FRAGMENT_LIMIT = 10; + + private MediaDriver mediaDriver; + private Aeron aeron; + private Subscription subscription; + private volatile boolean running = false; + private Future pollingFuture; + + @Inject private MarketDataFragmentHandler fragmentHandler; + + @Inject @VirtualThreadExecutor private ManagedExecutorService managedExecutorService; + + void contextInitialized(@Observes @Initialized(ApplicationScoped.class) Object event) { + managedExecutorService.submit(() -> init()); + } + + public void init() { + LOGGER.info("Initializing Aeron Subscriber Bean..."); + + try { + LOGGER.info("Launching embedded MediaDriver..."); + mediaDriver = + MediaDriver.launchEmbedded( + new MediaDriver.Context() + .threadingMode(ThreadingMode.SHARED) + .dirDeleteOnStart(true) + .dirDeleteOnShutdown(true)); + + LOGGER.info("MediaDriver launched at: " + mediaDriver.aeronDirectoryName()); + LOGGER.info("Connecting Aeron client..."); + aeron = + Aeron.connect( + new Aeron.Context() + .aeronDirectoryName(mediaDriver.aeronDirectoryName()) + .errorHandler(this::onError) + .availableImageHandler( + image -> LOGGER.info("Available image: " + image.sourceIdentity())) + .unavailableImageHandler( + image -> LOGGER.info("Unavailable image: " + image.sourceIdentity()))); + LOGGER.info("Adding subscription on channel: " + CHANNEL + ", stream: " + STREAM_ID); + subscription = aeron.addSubscription(CHANNEL, STREAM_ID); + startPolling(); + LOGGER.info("Aeron Subscriber Bean initialized successfully"); + + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Failed to initialize Aeron Subscriber Bean", e); + cleanup(); + throw new RuntimeException("Failed to initialize Aeron", e); } - - - public void init() { - LOGGER.info("Initializing Aeron Subscriber Bean..."); - - try { - LOGGER.info("Launching embedded MediaDriver..."); - mediaDriver = MediaDriver.launchEmbedded( - new MediaDriver.Context() - .threadingMode(ThreadingMode.SHARED) - .dirDeleteOnStart(true) - .dirDeleteOnShutdown(true) - ); - - LOGGER.info("MediaDriver launched at: " + mediaDriver.aeronDirectoryName()); - LOGGER.info("Connecting Aeron client..."); - aeron = Aeron.connect( - new Aeron.Context() - .aeronDirectoryName(mediaDriver.aeronDirectoryName()) - .errorHandler(this::onError) - .availableImageHandler(image -> - LOGGER.info("Available image: " + image.sourceIdentity())) - .unavailableImageHandler(image -> - LOGGER.info("Unavailable image: " + image.sourceIdentity())) - ); - LOGGER.info("Adding subscription on channel: " + CHANNEL + ", stream: " + STREAM_ID); - subscription = aeron.addSubscription(CHANNEL, STREAM_ID); - startPolling(); - LOGGER.info("Aeron Subscriber Bean initialized successfully"); - - } catch (Exception e) { - LOGGER.log(Level.SEVERE, "Failed to initialize Aeron Subscriber Bean", e); - cleanup(); - throw new RuntimeException("Failed to initialize Aeron", e); - } - } - - /** - * Start background task to continuously poll for messages - */ - private void startPolling() { - running = true; - pollingFuture = managedExecutorService.submit(() -> { - LOGGER.info("Aeron polling task started"); - - final IdleStrategy idleStrategy = new BackoffIdleStrategy( - 100, 10, - TimeUnit.MICROSECONDS.toNanos(1), - TimeUnit.MICROSECONDS.toNanos(100) - ); - - while (running && !Thread.currentThread().isInterrupted()) { + } + + /** Start background task to continuously poll for messages */ + private void startPolling() { + running = true; + pollingFuture = + managedExecutorService.submit( + () -> { + LOGGER.info("Aeron polling task started"); + + final IdleStrategy idleStrategy = + new BackoffIdleStrategy( + 100, + 10, + TimeUnit.MICROSECONDS.toNanos(1), + TimeUnit.MICROSECONDS.toNanos(100)); + + while (running && !Thread.currentThread().isInterrupted()) { try { - final int fragmentsRead = subscription.poll(fragmentHandler, FRAGMENT_LIMIT); + final int fragmentsRead = subscription.poll(fragmentHandler, FRAGMENT_LIMIT); - idleStrategy.idle(fragmentsRead); + idleStrategy.idle(fragmentsRead); } catch (Exception e) { - LOGGER.log(Level.SEVERE, "Error polling subscription", e); + LOGGER.log(Level.SEVERE, "Error polling subscription", e); } - } + } - LOGGER.info("Aeron polling task stopped"); - }); - } + LOGGER.info("Aeron polling task stopped"); + }); + } - /** - * Error handler for Aeron - */ - private void onError(Throwable throwable) { - LOGGER.log(Level.SEVERE, "Aeron error occurred", throwable); - } + /** Error handler for Aeron */ + private void onError(Throwable throwable) { + LOGGER.log(Level.SEVERE, "Aeron error occurred", throwable); + } - @PreDestroy - public void shutdown() { - LOGGER.info("Shutting down Aeron Subscriber Bean..."); - running = false; - - if (pollingFuture != null) { - pollingFuture.cancel(true); - } - - cleanup(); - LOGGER.info("Aeron Subscriber Bean shut down"); - } - - /** - * Clean up all Aeron resources - */ - private void cleanup() { - CloseHelper.quietClose(subscription); - CloseHelper.quietClose(aeron); - CloseHelper.quietClose(mediaDriver); - } + @PreDestroy + public void shutdown() { + LOGGER.info("Shutting down Aeron Subscriber Bean..."); + running = false; - /** - * Get subscription statistics - */ - public String getStatus() { - if (subscription != null) { - return String.format( - "Channel: %s, Stream: %d, Images: %d, Running: %b", - subscription.channel(), - subscription.streamId(), - subscription.imageCount(), - running - ); - } - return "Not initialized"; + if (pollingFuture != null) { + pollingFuture.cancel(true); } - /** - * Get the Aeron directory name for connecting publishers - */ - public String getAeronDirectoryName() { - if (mediaDriver != null) { - return mediaDriver.aeronDirectoryName(); - } - return null; + cleanup(); + LOGGER.info("Aeron Subscriber Bean shut down"); + } + + /** Clean up all Aeron resources */ + private void cleanup() { + CloseHelper.quietClose(subscription); + CloseHelper.quietClose(aeron); + CloseHelper.quietClose(mediaDriver); + } + + /** Get subscription statistics */ + public String getStatus() { + if (subscription != null) { + return String.format( + "Channel: %s, Stream: %d, Images: %d, Running: %b", + subscription.channel(), subscription.streamId(), subscription.imageCount(), running); } + return "Not initialized"; + } - /** - * Check if the MediaDriver is ready - */ - public boolean isReady() { - return mediaDriver != null && aeron != null && subscription != null && running; + /** Get the Aeron directory name for connecting publishers */ + public String getAeronDirectoryName() { + if (mediaDriver != null) { + return mediaDriver.aeronDirectoryName(); } -} \ No newline at end of file + return null; + } + + /** Check if the MediaDriver is ready */ + public boolean isReady() { + return mediaDriver != null && aeron != null && subscription != null && running; + } +} diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java b/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java index d3c4e09..4b743d1 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java @@ -6,286 +6,317 @@ import io.aeron.logbuffer.Header; import jakarta.enterprise.context.ApplicationScoped; import jakarta.inject.Inject; -import org.agrona.DirectBuffer; - import java.util.logging.Level; import java.util.logging.Logger; +import org.agrona.DirectBuffer; /** - * FragmentHandler that uses SBE Flyweights for zero-copy message decoding. - * This handler processes Aeron fragments by: - * 1. Decoding the SBE message header to identify message type - * 2. Using the appropriate SBE decoder (flyweight pattern) - * 3. Extracting data without object allocation - * 4. Broadcasting as JSON (intentionally creating garbage for GC stress testing) + * FragmentHandler that uses SBE Flyweights for zero-copy message decoding. This handler processes + * Aeron fragments by: 1. Decoding the SBE message header to identify message type 2. Using the + * appropriate SBE decoder (flyweight pattern) 3. Extracting data without object allocation 4. + * Broadcasting as JSON (intentionally creating garbage for GC stress testing) */ @ApplicationScoped public class MarketDataFragmentHandler implements FragmentHandler { - private static final Logger LOGGER = Logger.getLogger(MarketDataFragmentHandler.class.getName()); + private static final Logger LOGGER = Logger.getLogger(MarketDataFragmentHandler.class.getName()); - // SBE Message Header Decoder (reusable flyweight) - private final MessageHeaderDecoder headerDecoder = new MessageHeaderDecoder(); + // SBE Message Header Decoder (reusable flyweight) + private final MessageHeaderDecoder headerDecoder = new MessageHeaderDecoder(); - // SBE Message Decoders (reusable flyweights) - private final TradeDecoder tradeDecoder = new TradeDecoder(); - private final QuoteDecoder quoteDecoder = new QuoteDecoder(); - private final MarketDepthDecoder marketDepthDecoder = new MarketDepthDecoder(); - private final OrderAckDecoder orderAckDecoder = new OrderAckDecoder(); - private final HeartbeatDecoder heartbeatDecoder = new HeartbeatDecoder(); + // SBE Message Decoders (reusable flyweights) + private final TradeDecoder tradeDecoder = new TradeDecoder(); + private final QuoteDecoder quoteDecoder = new QuoteDecoder(); + private final MarketDepthDecoder marketDepthDecoder = new MarketDepthDecoder(); + private final OrderAckDecoder orderAckDecoder = new OrderAckDecoder(); + private final HeartbeatDecoder heartbeatDecoder = new HeartbeatDecoder(); - // Statistics - private long messagesProcessed = 0; - private long messagesBroadcast = 0; - private long lastLogTime = System.currentTimeMillis(); + // Statistics + private long messagesProcessed = 0; + private long messagesBroadcast = 0; + private long lastLogTime = System.currentTimeMillis(); - // Sampling: Only broadcast 1 in N messages to avoid overwhelming browser - private static final int SAMPLE_RATE = 50; - private long sampleCounter = 0; + // Sampling: Only broadcast 1 in N messages to avoid overwhelming browser + private static final int SAMPLE_RATE = 50; + private long sampleCounter = 0; - @Inject - MarketDataBroadcaster broadcaster; + @Inject MarketDataBroadcaster broadcaster; - // Optimization: Reusable buffers to reduce allocation - private final byte[] symbolBuffer = new byte[128]; - private final StringBuilder sb = new StringBuilder(1024); + // Optimization: Reusable buffers to reduce allocation + private final byte[] symbolBuffer = new byte[128]; + private final StringBuilder sb = new StringBuilder(1024); - @Override - public void onFragment(DirectBuffer buffer, int offset, int length, Header header) { - try { - headerDecoder.wrap(buffer, offset); + @Override + public void onFragment(DirectBuffer buffer, int offset, int length, Header header) { + try { + headerDecoder.wrap(buffer, offset); - final int templateId = headerDecoder.templateId(); - final int actingBlockLength = headerDecoder.blockLength(); - final int actingVersion = headerDecoder.version(); + final int templateId = headerDecoder.templateId(); + final int actingBlockLength = headerDecoder.blockLength(); + final int actingVersion = headerDecoder.version(); - offset += headerDecoder.encodedLength(); + offset += headerDecoder.encodedLength(); - sampleCounter++; - final boolean shouldBroadcast = (sampleCounter % SAMPLE_RATE == 0); + sampleCounter++; + final boolean shouldBroadcast = (sampleCounter % SAMPLE_RATE == 0); - switch (templateId) { - case TradeDecoder.TEMPLATE_ID: - processTrade(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); - break; + switch (templateId) { + case TradeDecoder.TEMPLATE_ID: + processTrade(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); + break; - case QuoteDecoder.TEMPLATE_ID: - processQuote(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); - break; + case QuoteDecoder.TEMPLATE_ID: + processQuote(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); + break; - case MarketDepthDecoder.TEMPLATE_ID: - processMarketDepth(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); - break; + case MarketDepthDecoder.TEMPLATE_ID: + processMarketDepth(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); + break; - case OrderAckDecoder.TEMPLATE_ID: - processOrderAck(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); - break; + case OrderAckDecoder.TEMPLATE_ID: + processOrderAck(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); + break; - case HeartbeatDecoder.TEMPLATE_ID: - processHeartbeat(buffer, offset, actingBlockLength, actingVersion); - break; + case HeartbeatDecoder.TEMPLATE_ID: + processHeartbeat(buffer, offset, actingBlockLength, actingVersion); + break; - default: - LOGGER.warning("Unknown message template ID: " + templateId); - } + default: + LOGGER.warning("Unknown message template ID: " + templateId); + } - messagesProcessed++; - if (shouldBroadcast) { - messagesBroadcast++; - } - logStatistics(); + messagesProcessed++; + if (shouldBroadcast) { + messagesBroadcast++; + } + logStatistics(); - } catch (Exception e) { - LOGGER.log(Level.SEVERE, "Error processing fragment", e); - } + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Error processing fragment", e); } + } - /** - * Process Trade message using SBE decoder (zero-copy) - */ - private void processTrade(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { - if (!shouldBroadcast) { - return; - } - - tradeDecoder.wrap(buffer, offset, blockLength, version); - - // Extract fields from SBE decoder - final long timestamp = tradeDecoder.timestamp(); - final long tradeId = tradeDecoder.tradeId(); - final long price = tradeDecoder.price(); - final long quantity = tradeDecoder.quantity(); - final Side side = tradeDecoder.side(); - - // Extract variable-length symbol string using reusable buffer - final int symbolLength = tradeDecoder.symbolLength(); - tradeDecoder.getSymbol(symbolBuffer, 0, symbolLength); - final String symbol = new String(symbolBuffer, 0, symbolLength); - - sb.setLength(0); - sb.append("{\"type\":\"trade\",\"timestamp\":").append(timestamp) - .append(",\"tradeId\":").append(tradeId) - .append(",\"symbol\":\"").append(symbol).append("\"") - .append(",\"price\":").append(price / 10000.0) - .append(",\"quantity\":").append(quantity) - .append(",\"side\":\"").append(side).append("\"}"); - - broadcaster.broadcast(sb.toString()); + /** Process Trade message using SBE decoder (zero-copy) */ + private void processTrade( + DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; } - /** - * Process Quote message using SBE decoder (zero-copy) - */ - private void processQuote(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { - if (!shouldBroadcast) { - return; - } - - quoteDecoder.wrap(buffer, offset, blockLength, version); - - final long timestamp = quoteDecoder.timestamp(); - final long bidPrice = quoteDecoder.bidPrice(); - final long bidSize = quoteDecoder.bidSize(); - final long askPrice = quoteDecoder.askPrice(); - final long askSize = quoteDecoder.askSize(); - - final int symbolLength = quoteDecoder.symbolLength(); - quoteDecoder.getSymbol(symbolBuffer, 0, symbolLength); - final String symbol = new String(symbolBuffer, 0, symbolLength); - - sb.setLength(0); - sb.append("{\"type\":\"quote\",\"timestamp\":").append(timestamp) - .append(",\"symbol\":\"").append(symbol).append("\"") - .append(",\"bid\":{\"price\":").append(bidPrice / 10000.0).append(",\"size\":").append(bidSize).append("}") - .append(",\"ask\":{\"price\":").append(askPrice / 10000.0).append(",\"size\":").append(askSize).append("}}"); - - broadcaster.broadcast(sb.toString()); + tradeDecoder.wrap(buffer, offset, blockLength, version); + + // Extract fields from SBE decoder + final long timestamp = tradeDecoder.timestamp(); + final long tradeId = tradeDecoder.tradeId(); + final long price = tradeDecoder.price(); + final long quantity = tradeDecoder.quantity(); + final Side side = tradeDecoder.side(); + + // Extract variable-length symbol string using reusable buffer + final int symbolLength = tradeDecoder.symbolLength(); + tradeDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.setLength(0); + sb.append("{\"type\":\"trade\",\"timestamp\":") + .append(timestamp) + .append(",\"tradeId\":") + .append(tradeId) + .append(",\"symbol\":\"") + .append(symbol) + .append("\"") + .append(",\"price\":") + .append(price / 10000.0) + .append(",\"quantity\":") + .append(quantity) + .append(",\"side\":\"") + .append(side) + .append("\"}"); + + broadcaster.broadcast(sb.toString()); + } + + /** Process Quote message using SBE decoder (zero-copy) */ + private void processQuote( + DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; } - /** - * Process MarketDepth message with repeating groups (zero-copy) - */ - private void processMarketDepth(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { - if (!shouldBroadcast) { - return; - } - - marketDepthDecoder.wrap(buffer, offset, blockLength, version); - - final long timestamp = marketDepthDecoder.timestamp(); - final long sequenceNumber = marketDepthDecoder.sequenceNumber(); - - sb.setLength(0); - sb.append("{\"type\":\"depth\",\"timestamp\":").append(timestamp) - .append(",\"sequence\":").append(sequenceNumber) - .append(",\"bids\":["); - - MarketDepthDecoder.BidsDecoder bids = marketDepthDecoder.bids(); - int bidCount = 0; - while (bids.hasNext()) { - bids.next(); - if (bidCount > 0) sb.append(","); - sb.append("{\"price\":").append(bids.price() / 10000.0) - .append(",\"quantity\":").append(bids.quantity()).append("}"); - bidCount++; - } - sb.append("],\"asks\":["); - - MarketDepthDecoder.AsksDecoder asks = marketDepthDecoder.asks(); - int askCount = 0; - while (asks.hasNext()) { - asks.next(); - if (askCount > 0) sb.append(","); - sb.append("{\"price\":").append(asks.price() / 10000.0) - .append(",\"quantity\":").append(asks.quantity()).append("}"); - askCount++; - } - sb.append("]"); - - // Must extract symbol after traversing groups in SBE for correct position in buffer - final int symbolLength = marketDepthDecoder.symbolLength(); - marketDepthDecoder.getSymbol(symbolBuffer, 0, symbolLength); - final String symbol = new String(symbolBuffer, 0, symbolLength); - - sb.append(",\"symbol\":\"").append(symbol).append("\"}"); - - broadcaster.broadcast(sb.toString()); + quoteDecoder.wrap(buffer, offset, blockLength, version); + + final long timestamp = quoteDecoder.timestamp(); + final long bidPrice = quoteDecoder.bidPrice(); + final long bidSize = quoteDecoder.bidSize(); + final long askPrice = quoteDecoder.askPrice(); + final long askSize = quoteDecoder.askSize(); + + final int symbolLength = quoteDecoder.symbolLength(); + quoteDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.setLength(0); + sb.append("{\"type\":\"quote\",\"timestamp\":") + .append(timestamp) + .append(",\"symbol\":\"") + .append(symbol) + .append("\"") + .append(",\"bid\":{\"price\":") + .append(bidPrice / 10000.0) + .append(",\"size\":") + .append(bidSize) + .append("}") + .append(",\"ask\":{\"price\":") + .append(askPrice / 10000.0) + .append(",\"size\":") + .append(askSize) + .append("}}"); + + broadcaster.broadcast(sb.toString()); + } + + /** Process MarketDepth message with repeating groups (zero-copy) */ + private void processMarketDepth( + DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; } - /** - * Process OrderAck message - */ - private void processOrderAck(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { - if (!shouldBroadcast) { - return; - } - - orderAckDecoder.wrap(buffer, offset, blockLength, version); - - final long timestamp = orderAckDecoder.timestamp(); - final long orderId = orderAckDecoder.orderId(); - final long clientOrderId = orderAckDecoder.clientOrderId(); - final Side side = orderAckDecoder.side(); - final OrderType orderType = orderAckDecoder.orderType(); - final long price = orderAckDecoder.price(); - final long quantity = orderAckDecoder.quantity(); - final ExecType execType = orderAckDecoder.execType(); - final long leavesQty = orderAckDecoder.leavesQty(); - final long cumQty = orderAckDecoder.cumQty(); - - final int symbolLength = orderAckDecoder.symbolLength(); - orderAckDecoder.getSymbol(symbolBuffer, 0, symbolLength); - final String symbol = new String(symbolBuffer, 0, symbolLength); - - sb.setLength(0); - sb.append("{\"type\":\"orderAck\",\"timestamp\":").append(timestamp) - .append(",\"orderId\":").append(orderId) - .append(",\"clientOrderId\":").append(clientOrderId) - .append(",\"symbol\":\"").append(symbol).append("\"") - .append(",\"side\":\"").append(side).append("\"") - .append(",\"orderType\":\"").append(orderType).append("\"") - .append(",\"price\":").append(price / 10000.0) - .append(",\"quantity\":").append(quantity) - .append(",\"execType\":\"").append(execType).append("\"") - .append(",\"leavesQty\":").append(leavesQty) - .append(",\"cumQty\":").append(cumQty).append("}"); - - broadcaster.broadcast(sb.toString()); + marketDepthDecoder.wrap(buffer, offset, blockLength, version); + + final long timestamp = marketDepthDecoder.timestamp(); + final long sequenceNumber = marketDepthDecoder.sequenceNumber(); + + sb.setLength(0); + sb.append("{\"type\":\"depth\",\"timestamp\":") + .append(timestamp) + .append(",\"sequence\":") + .append(sequenceNumber) + .append(",\"bids\":["); + + MarketDepthDecoder.BidsDecoder bids = marketDepthDecoder.bids(); + int bidCount = 0; + while (bids.hasNext()) { + bids.next(); + if (bidCount > 0) sb.append(","); + sb.append("{\"price\":") + .append(bids.price() / 10000.0) + .append(",\"quantity\":") + .append(bids.quantity()) + .append("}"); + bidCount++; } + sb.append("],\"asks\":["); + + MarketDepthDecoder.AsksDecoder asks = marketDepthDecoder.asks(); + int askCount = 0; + while (asks.hasNext()) { + asks.next(); + if (askCount > 0) sb.append(","); + sb.append("{\"price\":") + .append(asks.price() / 10000.0) + .append(",\"quantity\":") + .append(asks.quantity()) + .append("}"); + askCount++; + } + sb.append("]"); + + // Must extract symbol after traversing groups in SBE for correct position in buffer + final int symbolLength = marketDepthDecoder.symbolLength(); + marketDepthDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); - /** - * Process Heartbeat message - */ - private void processHeartbeat(DirectBuffer buffer, int offset, int blockLength, int version) { - heartbeatDecoder.wrap(buffer, offset, blockLength, version); + sb.append(",\"symbol\":\"").append(symbol).append("\"}"); - final long timestamp = heartbeatDecoder.timestamp(); - final long sequenceNumber = heartbeatDecoder.sequenceNumber(); + broadcaster.broadcast(sb.toString()); + } - // Log heartbeats but don't broadcast them - if (LOGGER.isLoggable(Level.FINE)) { - LOGGER.fine("Heartbeat: timestamp=" + timestamp + ", seq=" + sequenceNumber); - } + /** Process OrderAck message */ + private void processOrderAck( + DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; } - /** - * Log statistics periodically - */ - private void logStatistics() { - long now = System.currentTimeMillis(); - if (now - lastLogTime > 5000) { // Log every 5 seconds - double elapsedSeconds = (now - lastLogTime) / 1000.0; - LOGGER.info(String.format( - "FragmentHandler Stats - Processed: %,d (%.0f msg/sec) | Broadcast to UI: %,d (%.0f msg/sec) | Sample rate: 1 in %d", - messagesProcessed, - messagesProcessed / elapsedSeconds, - messagesBroadcast, - messagesBroadcast / elapsedSeconds, - SAMPLE_RATE - )); - lastLogTime = now; - messagesProcessed = 0; - messagesBroadcast = 0; - } + orderAckDecoder.wrap(buffer, offset, blockLength, version); + + final long timestamp = orderAckDecoder.timestamp(); + final long orderId = orderAckDecoder.orderId(); + final long clientOrderId = orderAckDecoder.clientOrderId(); + final Side side = orderAckDecoder.side(); + final OrderType orderType = orderAckDecoder.orderType(); + final long price = orderAckDecoder.price(); + final long quantity = orderAckDecoder.quantity(); + final ExecType execType = orderAckDecoder.execType(); + final long leavesQty = orderAckDecoder.leavesQty(); + final long cumQty = orderAckDecoder.cumQty(); + + final int symbolLength = orderAckDecoder.symbolLength(); + orderAckDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.setLength(0); + sb.append("{\"type\":\"orderAck\",\"timestamp\":") + .append(timestamp) + .append(",\"orderId\":") + .append(orderId) + .append(",\"clientOrderId\":") + .append(clientOrderId) + .append(",\"symbol\":\"") + .append(symbol) + .append("\"") + .append(",\"side\":\"") + .append(side) + .append("\"") + .append(",\"orderType\":\"") + .append(orderType) + .append("\"") + .append(",\"price\":") + .append(price / 10000.0) + .append(",\"quantity\":") + .append(quantity) + .append(",\"execType\":\"") + .append(execType) + .append("\"") + .append(",\"leavesQty\":") + .append(leavesQty) + .append(",\"cumQty\":") + .append(cumQty) + .append("}"); + + broadcaster.broadcast(sb.toString()); + } + + /** Process Heartbeat message */ + private void processHeartbeat(DirectBuffer buffer, int offset, int blockLength, int version) { + heartbeatDecoder.wrap(buffer, offset, blockLength, version); + + final long timestamp = heartbeatDecoder.timestamp(); + final long sequenceNumber = heartbeatDecoder.sequenceNumber(); + + // Log heartbeats but don't broadcast them + if (LOGGER.isLoggable(Level.FINE)) { + LOGGER.fine("Heartbeat: timestamp=" + timestamp + ", seq=" + sequenceNumber); + } + } + + /** Log statistics periodically */ + private void logStatistics() { + long now = System.currentTimeMillis(); + if (now - lastLogTime > 5000) { // Log every 5 seconds + double elapsedSeconds = (now - lastLogTime) / 1000.0; + LOGGER.info( + String.format( + "FragmentHandler Stats - Processed: %,d (%.0f msg/sec) | Broadcast to UI: %,d (%.0f msg/sec) | Sample rate: 1 in %d", + messagesProcessed, + messagesProcessed / elapsedSeconds, + messagesBroadcast, + messagesBroadcast / elapsedSeconds, + SAMPLE_RATE)); + lastLogTime = now; + messagesProcessed = 0; + messagesBroadcast = 0; } + } } diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java index e46a216..84af2ec 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java @@ -1,28 +1,19 @@ package fish.payara.trader.aeron; -import java.util.concurrent.ThreadLocalRandom; - +import com.hazelcast.core.HazelcastInstance; +import com.hazelcast.cp.IAtomicLong; import fish.payara.trader.concurrency.VirtualThreadExecutor; import fish.payara.trader.sbe.*; import fish.payara.trader.websocket.MarketDataBroadcaster; import io.aeron.Aeron; import io.aeron.Publication; -import jakarta.annotation.PostConstruct; import jakarta.annotation.PreDestroy; -import jakarta.ejb.DependsOn; -import jakarta.ejb.Singleton; -import jakarta.ejb.Startup; -import jakarta.enterprise.concurrent.ManagedExecutorDefinition; import jakarta.enterprise.concurrent.ManagedExecutorService; import jakarta.enterprise.context.ApplicationScoped; import jakarta.enterprise.context.Initialized; import jakarta.enterprise.event.Observes; import jakarta.inject.Inject; -import org.agrona.concurrent.UnsafeBuffer; -import org.eclipse.microprofile.config.inject.ConfigProperty; - import java.nio.ByteBuffer; - import java.util.concurrent.Future; import java.util.concurrent.ThreadLocalRandom; import java.util.concurrent.TimeUnit; @@ -31,488 +22,614 @@ import java.util.concurrent.locks.LockSupport; import java.util.logging.Level; import java.util.logging.Logger; +import org.agrona.concurrent.UnsafeBuffer; +import org.eclipse.microprofile.config.inject.ConfigProperty; /** - * Market Data Publisher Simulator - * Generates synthetic market data and publishes via Aeron using SBE encoding. - * This simulates a high-frequency data feed for testing the ingestion pipeline. + * Market Data Publisher Simulator Generates synthetic market data and publishes via Aeron using SBE + * encoding. This simulates a high-frequency data feed for testing the ingestion pipeline. * IMPORTANT: Depends on AeronSubscriberBean to initialize first (provides MediaDriver) */ @ApplicationScoped public class MarketDataPublisher { - private static final Logger LOGGER = Logger.getLogger(MarketDataPublisher.class.getName()); - - private static final String CHANNEL = "aeron:ipc"; - private static final int STREAM_ID = 1001; - private static final int BUFFER_SIZE = 4096; - private static final int SAMPLE_RATE = 50; // Broadcast 1 in 50 messages to prevent flooding - - private static final String[] SYMBOLS = {"AAPL", "GOOGL", "MSFT", "AMZN", "TSLA", "NVDA", "META", "NFLX"}; - - private Aeron aeron; - private Publication publication; - - // SBE encoders (reusable flyweights) - private final MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - private final TradeEncoder tradeEncoder = new TradeEncoder(); - private final QuoteEncoder quoteEncoder = new QuoteEncoder(); - private final MarketDepthEncoder marketDepthEncoder = new MarketDepthEncoder(); - private final HeartbeatEncoder heartbeatEncoder = new HeartbeatEncoder(); - - // Buffer for encoding messages - private final UnsafeBuffer buffer = new UnsafeBuffer(ByteBuffer.allocateDirect(BUFFER_SIZE)); - - - private final AtomicLong sequenceNumber = new AtomicLong(0); - private final AtomicLong tradeIdGenerator = new AtomicLong(1000); - - private final AtomicLong messagesPublished = new AtomicLong(0); - private final AtomicInteger consecutiveFailures = new AtomicInteger(0); - private static final int MAX_CONSECUTIVE_FAILURES = 50; - private long sampleCounter = 0; - private volatile boolean initialized = false; - private volatile boolean running = false; - private boolean isDirectMode; - private long lastWarningLogTime = 0; - private static final long WARNING_LOG_INTERVAL_MS = 5000; // Log warnings at most once per 5 seconds - - private Future publisherFuture; - private Future statsFuture; - - @Inject - private AeronSubscriberBean subscriberBean; - - @Inject - @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") - private String ingestionMode; - - @Inject - private MarketDataBroadcaster broadcaster; - - @Inject - @VirtualThreadExecutor - private ManagedExecutorService managedExecutorService; - - void contextInitialized(@Observes @Initialized(ApplicationScoped.class) Object event) { - init(); + private static final Logger LOGGER = Logger.getLogger(MarketDataPublisher.class.getName()); + + private static final String CHANNEL = "aeron:ipc"; + private static final int STREAM_ID = 1001; + private static final int BUFFER_SIZE = 4096; + private static final int SAMPLE_RATE = 50; // Broadcast 1 in 50 messages to prevent flooding + + private static final String[] SYMBOLS = { + "AAPL", "GOOGL", "MSFT", "AMZN", "TSLA", "NVDA", "META", "NFLX" + }; + + private Aeron aeron; + private Publication publication; + + // SBE encoders (reusable flyweights) + private final MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + private final TradeEncoder tradeEncoder = new TradeEncoder(); + private final QuoteEncoder quoteEncoder = new QuoteEncoder(); + private final MarketDepthEncoder marketDepthEncoder = new MarketDepthEncoder(); + private final HeartbeatEncoder heartbeatEncoder = new HeartbeatEncoder(); + + // Buffer for encoding messages + private final UnsafeBuffer buffer = new UnsafeBuffer(ByteBuffer.allocateDirect(BUFFER_SIZE)); + + private final AtomicLong sequenceNumber = new AtomicLong(0); + private final AtomicLong tradeIdGenerator = new AtomicLong(1000); + + private final AtomicLong messagesPublished = new AtomicLong(0); + private final AtomicInteger consecutiveFailures = new AtomicInteger(0); + private static final int MAX_CONSECUTIVE_FAILURES = 50; + private long sampleCounter = 0; + private volatile boolean initialized = false; + private volatile boolean running = false; + private boolean isDirectMode; + private long lastWarningLogTime = 0; + private static final long WARNING_LOG_INTERVAL_MS = + 5000; // Log warnings at most once per 5 seconds + + private Future publisherFuture; + private Future statsFuture; + + @Inject private AeronSubscriberBean subscriberBean; + + @Inject + @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") + private String ingestionMode; + + @Inject + @ConfigProperty(name = "ENABLE_PUBLISHER", defaultValue = "true") + String enablePublisherEnv; + + @Inject private MarketDataBroadcaster broadcaster; + + @Inject private HazelcastInstance hazelcastInstance; + + @Inject @VirtualThreadExecutor private ManagedExecutorService managedExecutorService; + + // Cluster-wide message counter (shared across all instances) + private IAtomicLong clusterMessageCounter; + + void contextInitialized(@Observes @Initialized(ApplicationScoped.class) Object event) { + // managedExecutorService.submit(this::init); + init(); + } + + public void init() { + // Initialize cluster-wide message counter on ALL instances (even non-publishers) + // This allows all instances to read the shared counter value via Hazelcast CP Subsystem + if (hazelcastInstance != null) { + try { + clusterMessageCounter = + hazelcastInstance.getCPSubsystem().getAtomicLong("cluster-message-count"); + LOGGER.info("Initialized cluster-wide message counter"); + } catch (Exception e) { + LOGGER.log( + Level.WARNING, + "Failed to initialize cluster message counter, using local counter only", + e); + } } - public void init() { - LOGGER.info("Initializing Market Data Publisher. Mode: " + ingestionMode); + // Check if publisher should be enabled on this instance + if (enablePublisherEnv != null && !"true".equalsIgnoreCase(enablePublisherEnv)) { + LOGGER.info( + "Market Data Publisher DISABLED on this instance (ENABLE_PUBLISHER=" + + enablePublisherEnv + + ")"); + LOGGER.info("This instance will only consume messages from the cluster topic via Hazelcast"); + return; + } - if ("DIRECT".equalsIgnoreCase(ingestionMode)) { - LOGGER.info("Running in DIRECT mode - Bypassing Aeron/SBE setup."); - initialized = true; - isDirectMode = true; - startPublishing(); - return; - } + LOGGER.info( + "Initializing Market Data Publisher (ENABLE_PUBLISHER=" + + enablePublisherEnv + + "). Mode: " + + ingestionMode); - try { - // Wait for AeronSubscriberBean to be ready (both observers fire at roughly same time) - LOGGER.info("Waiting for AeronSubscriberBean to be ready..."); - int waitAttempts = 0; - while (!subscriberBean.isReady() && waitAttempts < 60) { - Thread.sleep(500); - waitAttempts++; - } - - if (!subscriberBean.isReady()) { - LOGGER.severe("AeronSubscriberBean did not become ready in time"); - return; - } - - String aeronDir = subscriberBean.getAeronDirectoryName(); - LOGGER.info("Connecting to embedded MediaDriver at: " + aeronDir); - - aeron = Aeron.connect(new Aeron.Context() - .aeronDirectoryName(aeronDir) - .errorHandler(throwable -> - LOGGER.log(Level.SEVERE, "Aeron publisher error", throwable)) - ); - - LOGGER.info("Connected to Aeron. Adding publication..."); - - publication = aeron.addPublication(CHANNEL, STREAM_ID); - - LOGGER.info("Waiting for subscriber to connect to publication..."); - int attempts = 0; - while (!publication.isConnected() && attempts < 20) { - Thread.sleep(500); - attempts++; - } - - if (publication.isConnected()) { - LOGGER.info("Market Data Publisher initialized successfully"); - initialized = true; - startPublishing(); - } else { - LOGGER.warning("Publisher not connected after waiting"); - } + if ("DIRECT".equalsIgnoreCase(ingestionMode)) { + LOGGER.info("Running in DIRECT mode - Bypassing Aeron/SBE setup."); + initialized = true; + isDirectMode = true; - } catch (Exception e) { - LOGGER.log(Level.SEVERE, "Failed to initialize publisher", e); - } + startPublishing(); + return; + } + + try { + // Wait for AeronSubscriberBean to be ready (both observers fire at roughly same time) + LOGGER.info("Waiting for AeronSubscriberBean to be ready..."); + int waitAttempts = 0; + while (!subscriberBean.isReady() && waitAttempts < 60) { + Thread.sleep(500); + waitAttempts++; + } + + if (!subscriberBean.isReady()) { + LOGGER.severe("AeronSubscriberBean did not become ready in time"); + return; + } + + String aeronDir = subscriberBean.getAeronDirectoryName(); + LOGGER.info("Connecting to embedded MediaDriver at: " + aeronDir); + + aeron = + Aeron.connect( + new Aeron.Context() + .aeronDirectoryName(aeronDir) + .errorHandler( + throwable -> LOGGER.log(Level.SEVERE, "Aeron publisher error", throwable))); + + LOGGER.info("Connected to Aeron. Adding publication..."); + + publication = aeron.addPublication(CHANNEL, STREAM_ID); + + LOGGER.info("Waiting for subscriber to connect to publication..."); + int attempts = 0; + while (!publication.isConnected() && attempts < 20) { + Thread.sleep(500); + attempts++; + } + + if (publication.isConnected()) { + LOGGER.info("Market Data Publisher initialized successfully"); + initialized = true; + + startPublishing(); + } else { + LOGGER.warning("Publisher not connected after waiting"); + } + + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Failed to initialize publisher", e); } + } - /** - * Start background thread to continuously publish market data at high throughput - */ - private void startPublishing() { - running = true; - publisherFuture = managedExecutorService.submit(() -> { - LOGGER.info("Market data publisher task started - targeting 50k-100k messages/sec"); + /** Start background thread to continuously publish market data at high throughput */ + private void startPublishing() { + running = true; + publisherFuture = + managedExecutorService.submit( + () -> { + LOGGER.info( + "Market data publisher task started - targeting 50k-100k messages/sec with burst patterns"); - final int BURST_SIZE = 500; - final long PARK_NANOS = 5_000; // 5 microseconds = ~100k messages/sec + final int BASE_BURST_SIZE = 500; + final long PARK_NANOS = 5_000; // 5 microseconds base rate - while (running && !Thread.currentThread().isInterrupted()) { + while (running && !Thread.currentThread().isInterrupted()) { try { - for (int i = 0; i < BURST_SIZE && running; i++) { - publishTrade(); - publishQuote(); - publishMarketDepth(); - - if (i % 100 == 0) { - publishHeartbeat(); - } + // Apply burst multiplier for realistic market spikes + int burstMultiplier = getBurstMultiplier(); + int adjustedBurstSize = BASE_BURST_SIZE * burstMultiplier; + + // Log burst transitions + if (burstMultiplier > 1) { + long secondOfMinute = (System.currentTimeMillis() / 1000) % 60; + if (secondOfMinute == 20 || secondOfMinute == 45) { + LOGGER.info("BURST MODE: " + burstMultiplier + "x allocation spike started"); + } + } + + for (int i = 0; i < adjustedBurstSize && running; i++) { + publishTrade(); + publishQuote(); + publishMarketDepth(); + + if (i % 100 == 0) { + publishHeartbeat(); } + } - LockSupport.parkNanos(PARK_NANOS); + LockSupport.parkNanos(PARK_NANOS); } catch (Throwable e) { - LOGGER.log(Level.SEVERE, "Critical error in publisher loop", e); - // Brief pause on error, then continue - LockSupport.parkNanos(TimeUnit.MILLISECONDS.toNanos(100)); + LOGGER.log(Level.SEVERE, "Critical error in publisher loop", e); + // Brief pause on error, then continue + LockSupport.parkNanos(TimeUnit.MILLISECONDS.toNanos(100)); } - } + } - LOGGER.info("Market data publisher task stopped"); - }); + LOGGER.info("Market data publisher task stopped"); + }); - statsFuture = managedExecutorService.submit(() -> { - long lastCount = 0; - long lastTime = System.currentTimeMillis(); + statsFuture = + managedExecutorService.submit( + () -> { + long lastCount = 0; + long lastTime = System.currentTimeMillis(); - while (running && !Thread.currentThread().isInterrupted()) { + while (running && !Thread.currentThread().isInterrupted()) { try { - Thread.sleep(5000); - - long currentCount = messagesPublished.get(); - long currentTime = System.currentTimeMillis(); - long messagesSinceLastLog = currentCount - lastCount; - double elapsedSeconds = (currentTime - lastTime) / 1000.0; - double messagesPerSecond = messagesSinceLastLog / elapsedSeconds; - - LOGGER.info(String.format( - "Publisher Stats - Total: %,d | Last 5s: %,d (%.0f msg/sec)", - currentCount, - messagesSinceLastLog, - messagesPerSecond - )); - - String statsJson = String.format("{\"type\":\"stats\",\"total\":%d,\"rate\":%.0f}", currentCount, messagesPerSecond); - broadcaster.broadcast(statsJson); - - lastCount = currentCount; - lastTime = currentTime; + Thread.sleep(5000); + + long currentCount = messagesPublished.get(); + long currentTime = System.currentTimeMillis(); + long messagesSinceLastLog = currentCount - lastCount; + double elapsedSeconds = (currentTime - lastTime) / 1000.0; + double messagesPerSecond = messagesSinceLastLog / elapsedSeconds; + + int currentMultiplier = getBurstMultiplier(); + String burstStatus = + currentMultiplier > 1 ? " [BURST: " + currentMultiplier + "x]" : ""; + + LOGGER.info( + String.format( + "Publisher Stats - Total: %,d | Last 5s: %,d (%.0f msg/sec)%s", + currentCount, messagesSinceLastLog, messagesPerSecond, burstStatus)); + + String statsJson = + String.format( + "{\"type\":\"stats\",\"total\":%d,\"rate\":%.0f,\"burstMultiplier\":%d}", + currentCount, messagesPerSecond, currentMultiplier); + broadcaster.broadcast(statsJson); + + lastCount = currentCount; + lastTime = currentTime; } catch (InterruptedException e) { - Thread.currentThread().interrupt(); - break; + Thread.currentThread().interrupt(); + break; } - } - }); + } + }); + } + + /** + * Calculate burst multiplier based on time pattern simulating market events + * + *

Pattern (60-second cycle): - 00-20s: Normal trading (1x) - 20-25s: News event burst (5x + * allocation spike) - 25-45s: Normal trading (1x) - 45-50s: Market close spike (3x allocation) - + * 50-60s: Normal trading (1x) + */ + private int getBurstMultiplier() { + long secondOfMinute = (System.currentTimeMillis() / 1000) % 60; + + if (secondOfMinute >= 20 && secondOfMinute < 25) { + return 5; // News event - 5x burst + } else if (secondOfMinute >= 45 && secondOfMinute < 50) { + return 3; // Market close - 3x spike } - /** - * Publish a Trade message - */ - private void publishTrade() { - if (isDirectMode) { - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); // Use ThreadLocalRandom - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - final double price = 100.0 + currentRandom.nextDouble() * 400.0; - final int quantity = currentRandom.nextInt(1000) + 100; - final String side = currentRandom.nextBoolean() ? "BUY" : "SELL"; - - String json = String.format( - "{\"type\":\"trade\",\"timestamp\":%d,\"tradeId\":%d,\"symbol\":\"%s\",\"price\":%.4f,\"quantity\":%d,\"side\":\"%s\"}", - System.currentTimeMillis(), - tradeIdGenerator.incrementAndGet(), - symbol, - price, - quantity, - side - ); - if (++sampleCounter % SAMPLE_RATE == 0) { - broadcaster.broadcastWithArtificialLoad(json); - } - messagesPublished.incrementAndGet(); - return; + return 1; // Normal + } + + /** Publish a Trade message */ + private void publishTrade() { + if (isDirectMode) { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); // Use ThreadLocalRandom + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double price = 100.0 + currentRandom.nextDouble() * 400.0; + final int quantity = currentRandom.nextInt(1000) + 100; + final String side = currentRandom.nextBoolean() ? "BUY" : "SELL"; + + String json = + String.format( + "{\"type\":\"trade\",\"timestamp\":%d,\"tradeId\":%d,\"symbol\":\"%s\",\"price\":%.4f,\"quantity\":%d,\"side\":\"%s\"}", + System.currentTimeMillis(), + tradeIdGenerator.incrementAndGet(), + symbol, + price, + quantity, + side); + if (++sampleCounter % SAMPLE_RATE == 0) { + broadcaster.broadcastWithArtificialLoad(json); + } + messagesPublished.incrementAndGet(); + // Increment cluster-wide counter + if (clusterMessageCounter != null) { + try { + clusterMessageCounter.incrementAndGet(); + } catch (Exception e) { + // Ignore cluster counter errors, not critical } - - int bufferOffset = 0; - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - - headerEncoder.wrap(buffer, bufferOffset) - .blockLength(tradeEncoder.sbeBlockLength()) - .templateId(tradeEncoder.sbeTemplateId()) - .schemaId(tradeEncoder.sbeSchemaId()) - .version(tradeEncoder.sbeSchemaVersion()); - - bufferOffset += headerEncoder.encodedLength(); - - tradeEncoder.wrap(buffer, bufferOffset) - .timestamp(System.currentTimeMillis()) - .tradeId(tradeIdGenerator.incrementAndGet()) - .price((long) ((100.0 + currentRandom.nextDouble() * 400.0) * 10000)) // $100-$500 - .quantity(currentRandom.nextInt(1000) + 100) - .side(currentRandom.nextBoolean() ? Side.BUY : Side.SELL) - .symbol(symbol); - - final int length = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); - offer(buffer, 0, length, "Trade"); + } + return; } - /** - * Publish a Quote message - */ - private void publishQuote() { - if (isDirectMode) { - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; - final double bidPrice = basePrice - 0.01; - final double askPrice = basePrice + 0.01; - final int bidSize = currentRandom.nextInt(10000) + 100; - final int askSize = currentRandom.nextInt(10000) + 100; - - String json = String.format( - "{\"type\":\"quote\",\"timestamp\":%d,\"symbol\":\"%s\",\"bid\":{\"price\":%.4f,\"size\":%d},\"ask\":{\"price\":%.4f,\"size\":%d}}", - System.currentTimeMillis(), symbol, - bidPrice, bidSize, - askPrice, askSize - ); - if (++sampleCounter % SAMPLE_RATE == 0) { - broadcaster.broadcastWithArtificialLoad(json); - } - messagesPublished.incrementAndGet(); - return; + int bufferOffset = 0; + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + + headerEncoder + .wrap(buffer, bufferOffset) + .blockLength(tradeEncoder.sbeBlockLength()) + .templateId(tradeEncoder.sbeTemplateId()) + .schemaId(tradeEncoder.sbeSchemaId()) + .version(tradeEncoder.sbeSchemaVersion()); + + bufferOffset += headerEncoder.encodedLength(); + + tradeEncoder + .wrap(buffer, bufferOffset) + .timestamp(System.currentTimeMillis()) + .tradeId(tradeIdGenerator.incrementAndGet()) + .price((long) ((100.0 + currentRandom.nextDouble() * 400.0) * 10000)) // $100-$500 + .quantity(currentRandom.nextInt(1000) + 100) + .side(currentRandom.nextBoolean() ? Side.BUY : Side.SELL) + .symbol(symbol); + + final int length = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + offer(buffer, 0, length, "Trade"); + } + + /** Publish a Quote message */ + private void publishQuote() { + if (isDirectMode) { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; + final double bidPrice = basePrice - 0.01; + final double askPrice = basePrice + 0.01; + final int bidSize = currentRandom.nextInt(10000) + 100; + final int askSize = currentRandom.nextInt(10000) + 100; + + String json = + String.format( + "{\"type\":\"quote\",\"timestamp\":%d,\"symbol\":\"%s\",\"bid\":{\"price\":%.4f,\"size\":%d},\"ask\":{\"price\":%.4f,\"size\":%d}}", + System.currentTimeMillis(), symbol, bidPrice, bidSize, askPrice, askSize); + if (++sampleCounter % SAMPLE_RATE == 0) { + broadcaster.broadcastWithArtificialLoad(json); + } + messagesPublished.incrementAndGet(); + // Increment cluster-wide counter + if (clusterMessageCounter != null) { + try { + clusterMessageCounter.incrementAndGet(); + } catch (Exception e) { + // Ignore cluster counter errors, not critical } - - int bufferOffset = 0; - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; - - headerEncoder.wrap(buffer, bufferOffset) - .blockLength(quoteEncoder.sbeBlockLength()) - .templateId(quoteEncoder.sbeTemplateId()) - .schemaId(quoteEncoder.sbeSchemaId()) - .version(quoteEncoder.sbeSchemaVersion()); - - bufferOffset += headerEncoder.encodedLength(); - - quoteEncoder.wrap(buffer, bufferOffset) - .timestamp(System.currentTimeMillis()) - .bidPrice((long) ((basePrice - 0.01) * 10000)) - .bidSize(currentRandom.nextInt(10000) + 100) - .askPrice((long) ((basePrice + 0.01) * 10000)) - .askSize(currentRandom.nextInt(10000) + 100) - .symbol(symbol); - - final int length = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); - offer(buffer, 0, length, "Quote"); + } + return; } - /** - * Publish a MarketDepth message - */ - private void publishMarketDepth() { - if (isDirectMode) { - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; - final long timestamp = System.currentTimeMillis(); - final long seq = sequenceNumber.incrementAndGet(); - - StringBuilder bidsJson = new StringBuilder("["); - for (int i = 0; i < 5; i++) { - if (i > 0) bidsJson.append(","); - bidsJson.append(String.format("{\"price\":%.4f,\"quantity\":%d}", - basePrice - (i + 1) * 0.01, currentRandom.nextInt(5000) + 100)); - } - bidsJson.append("]"); - - StringBuilder asksJson = new StringBuilder("["); - for (int i = 0; i < 5; i++) { - if (i > 0) asksJson.append(","); - asksJson.append(String.format("{\"price\":%.4f,\"quantity\":%d}", - basePrice + (i + 1) * 0.01, currentRandom.nextInt(5000) + 100)); - } - asksJson.append("]"); - - String json = String.format( - "{\"type\":\"depth\",\"timestamp\":%d,\"symbol\":\"%s\",\"sequence\":%d,\"bids\":%s,\"asks\":%s}", - timestamp, symbol, seq, bidsJson, asksJson - ); - if (++sampleCounter % SAMPLE_RATE == 0) { - broadcaster.broadcastWithArtificialLoad(json); - } - messagesPublished.incrementAndGet(); - return; - } - - int bufferOffset = 0; - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; - - headerEncoder.wrap(buffer, bufferOffset) - .blockLength(marketDepthEncoder.sbeBlockLength()) - .templateId(marketDepthEncoder.sbeTemplateId()) - .schemaId(marketDepthEncoder.sbeSchemaId()) - .version(marketDepthEncoder.sbeSchemaVersion()); - - bufferOffset += headerEncoder.encodedLength(); - - marketDepthEncoder.wrap(buffer, bufferOffset) - .timestamp(System.currentTimeMillis()) - .sequenceNumber(sequenceNumber.incrementAndGet()); - - MarketDepthEncoder.BidsEncoder bidsEncoder = marketDepthEncoder.bidsCount(5); - for (int i = 0; i < 5; i++) { - bidsEncoder.next() - .price((long) ((basePrice - (i + 1) * 0.01) * 10000)) - .quantity(currentRandom.nextInt(5000) + 100); - } - - MarketDepthEncoder.AsksEncoder asksEncoder = marketDepthEncoder.asksCount(5); - for (int i = 0; i < 5; i++) { - asksEncoder.next() - .price((long) ((basePrice + (i + 1) * 0.01) * 10000)) - .quantity(currentRandom.nextInt(5000) + 100); + int bufferOffset = 0; + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; + + headerEncoder + .wrap(buffer, bufferOffset) + .blockLength(quoteEncoder.sbeBlockLength()) + .templateId(quoteEncoder.sbeTemplateId()) + .schemaId(quoteEncoder.sbeSchemaId()) + .version(quoteEncoder.sbeSchemaVersion()); + + bufferOffset += headerEncoder.encodedLength(); + + quoteEncoder + .wrap(buffer, bufferOffset) + .timestamp(System.currentTimeMillis()) + .bidPrice((long) ((basePrice - 0.01) * 10000)) + .bidSize(currentRandom.nextInt(10000) + 100) + .askPrice((long) ((basePrice + 0.01) * 10000)) + .askSize(currentRandom.nextInt(10000) + 100) + .symbol(symbol); + + final int length = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); + offer(buffer, 0, length, "Quote"); + } + + /** Publish a MarketDepth message */ + private void publishMarketDepth() { + if (isDirectMode) { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; + final long timestamp = System.currentTimeMillis(); + final long seq = sequenceNumber.incrementAndGet(); + + StringBuilder bidsJson = new StringBuilder("["); + for (int i = 0; i < 5; i++) { + if (i > 0) bidsJson.append(","); + bidsJson.append( + String.format( + "{\"price\":%.4f,\"quantity\":%d}", + basePrice - (i + 1) * 0.01, currentRandom.nextInt(5000) + 100)); + } + bidsJson.append("]"); + + StringBuilder asksJson = new StringBuilder("["); + for (int i = 0; i < 5; i++) { + if (i > 0) asksJson.append(","); + asksJson.append( + String.format( + "{\"price\":%.4f,\"quantity\":%d}", + basePrice + (i + 1) * 0.01, currentRandom.nextInt(5000) + 100)); + } + asksJson.append("]"); + + String json = + String.format( + "{\"type\":\"depth\",\"timestamp\":%d,\"symbol\":\"%s\",\"sequence\":%d,\"bids\":%s,\"asks\":%s}", + timestamp, symbol, seq, bidsJson, asksJson); + if (++sampleCounter % SAMPLE_RATE == 0) { + broadcaster.broadcastWithArtificialLoad(json); + } + messagesPublished.incrementAndGet(); + // Increment cluster-wide counter + if (clusterMessageCounter != null) { + try { + clusterMessageCounter.incrementAndGet(); + } catch (Exception e) { + // Ignore cluster counter errors, not critical } - - marketDepthEncoder.symbol(symbol); - - final int length = headerEncoder.encodedLength() + marketDepthEncoder.encodedLength(); - offer(buffer, 0, length, "MarketDepth"); + } + return; } - /** - * Publish a Heartbeat message - */ - private void publishHeartbeat() { - if (isDirectMode) { - // In DIRECT mode, we just increment counter but don't broadcast heartbeats to UI - // as they are mainly for system health checks in the Aeron log - messagesPublished.incrementAndGet(); - return; - } - - int bufferOffset = 0; + int bufferOffset = 0; + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; + + headerEncoder + .wrap(buffer, bufferOffset) + .blockLength(marketDepthEncoder.sbeBlockLength()) + .templateId(marketDepthEncoder.sbeTemplateId()) + .schemaId(marketDepthEncoder.sbeSchemaId()) + .version(marketDepthEncoder.sbeSchemaVersion()); + + bufferOffset += headerEncoder.encodedLength(); + + marketDepthEncoder + .wrap(buffer, bufferOffset) + .timestamp(System.currentTimeMillis()) + .sequenceNumber(sequenceNumber.incrementAndGet()); + + MarketDepthEncoder.BidsEncoder bidsEncoder = marketDepthEncoder.bidsCount(5); + for (int i = 0; i < 5; i++) { + bidsEncoder + .next() + .price((long) ((basePrice - (i + 1) * 0.01) * 10000)) + .quantity(currentRandom.nextInt(5000) + 100); + } - headerEncoder.wrap(buffer, bufferOffset) - .blockLength(heartbeatEncoder.sbeBlockLength()) - .templateId(heartbeatEncoder.sbeTemplateId()) - .schemaId(heartbeatEncoder.sbeSchemaId()) - .version(heartbeatEncoder.sbeSchemaVersion()); + MarketDepthEncoder.AsksEncoder asksEncoder = marketDepthEncoder.asksCount(5); + for (int i = 0; i < 5; i++) { + asksEncoder + .next() + .price((long) ((basePrice + (i + 1) * 0.01) * 10000)) + .quantity(currentRandom.nextInt(5000) + 100); + } - bufferOffset += headerEncoder.encodedLength(); + marketDepthEncoder.symbol(symbol); - heartbeatEncoder.wrap(buffer, bufferOffset) - .timestamp(System.currentTimeMillis()) - .sequenceNumber(sequenceNumber.get()); + final int length = headerEncoder.encodedLength() + marketDepthEncoder.encodedLength(); + offer(buffer, 0, length, "MarketDepth"); + } - final int length = headerEncoder.encodedLength() + heartbeatEncoder.encodedLength(); - offer(buffer, 0, length, "Heartbeat"); + /** Publish a Heartbeat message */ + private void publishHeartbeat() { + if (isDirectMode) { + // In DIRECT mode, we just increment counter but don't broadcast heartbeats to UI + // as they are mainly for system health checks in the Aeron log + messagesPublished.incrementAndGet(); + return; } - /** - * Offer buffer to Aeron publication with retry logic - */ - private void offer(UnsafeBuffer buffer, int offset, int length, String messageType) { - long result; - int retries = 3; - - while (retries > 0) { - result = publication.offer(buffer, offset, length); - - if (result > 0) { - messagesPublished.incrementAndGet(); - consecutiveFailures.set(0); - return; - } else if (result == Publication.BACK_PRESSURED) { - // Back pressure is normal at high throughput, don't log - retries--; - try { - Thread.sleep(1); - } catch (InterruptedException e) { - Thread.currentThread().interrupt(); - return; - } - } else if (result == Publication.NOT_CONNECTED) { - logWarningRateLimited("Publication not connected"); - handlePublishFailure(messageType); - return; - } else { - logWarningRateLimited("Offer failed for " + messageType + ": " + result); - handlePublishFailure(messageType); - return; - } + int bufferOffset = 0; + + headerEncoder + .wrap(buffer, bufferOffset) + .blockLength(heartbeatEncoder.sbeBlockLength()) + .templateId(heartbeatEncoder.sbeTemplateId()) + .schemaId(heartbeatEncoder.sbeSchemaId()) + .version(heartbeatEncoder.sbeSchemaVersion()); + + bufferOffset += headerEncoder.encodedLength(); + + heartbeatEncoder + .wrap(buffer, bufferOffset) + .timestamp(System.currentTimeMillis()) + .sequenceNumber(sequenceNumber.get()); + + final int length = headerEncoder.encodedLength() + heartbeatEncoder.encodedLength(); + offer(buffer, 0, length, "Heartbeat"); + } + + /** Offer buffer to Aeron publication with retry logic */ + private void offer(UnsafeBuffer buffer, int offset, int length, String messageType) { + long result; + int retries = 3; + + while (retries > 0) { + result = publication.offer(buffer, offset, length); + + if (result > 0) { + messagesPublished.incrementAndGet(); + // Increment cluster-wide counter + if (clusterMessageCounter != null) { + try { + clusterMessageCounter.incrementAndGet(); + } catch (Exception e) { + // Ignore cluster counter errors, not critical + } } - - logWarningRateLimited("Failed to publish " + messageType + " after retries"); + consecutiveFailures.set(0); + return; + } else if (result == Publication.BACK_PRESSURED) { + // Back pressure is normal at high throughput, don't log + retries--; + try { + Thread.sleep(1); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + return; + } + } else if (result == Publication.NOT_CONNECTED) { + logWarningRateLimited("Publication not connected"); handlePublishFailure(messageType); + return; + } else { + logWarningRateLimited("Offer failed for " + messageType + ": " + result); + handlePublishFailure(messageType); + return; + } } - private void logWarningRateLimited(String message) { - long now = System.currentTimeMillis(); - if (now - lastWarningLogTime >= WARNING_LOG_INTERVAL_MS) { - LOGGER.warning(message); - lastWarningLogTime = now; - } - } + logWarningRateLimited("Failed to publish " + messageType + " after retries"); + handlePublishFailure(messageType); + } - private void handlePublishFailure(String messageType) { - int failures = consecutiveFailures.incrementAndGet(); - if (failures >= MAX_CONSECUTIVE_FAILURES) { - LOGGER.severe(String.format( - "Circuit breaker triggered: %d consecutive publish failures (last attempted: %s). Stopping message generation.", - failures, messageType - )); - running = false; - } + private void logWarningRateLimited(String message) { + long now = System.currentTimeMillis(); + if (now - lastWarningLogTime >= WARNING_LOG_INTERVAL_MS) { + LOGGER.warning(message); + lastWarningLogTime = now; } + } + + private void handlePublishFailure(String messageType) { + int failures = consecutiveFailures.incrementAndGet(); + if (failures >= MAX_CONSECUTIVE_FAILURES) { + LOGGER.severe( + String.format( + "Circuit breaker triggered: %d consecutive publish failures (last attempted: %s). Stopping message generation.", + failures, messageType)); + running = false; + } + } - @PreDestroy - public void shutdown() { - LOGGER.info("Shutting down Market Data Publisher..."); + @PreDestroy + public void shutdown() { + LOGGER.info("Shutting down Market Data Publisher..."); - running = false; - - if (publisherFuture != null) { - publisherFuture.cancel(true); - } - - if (statsFuture != null) { - statsFuture.cancel(true); - } + running = false; - if (publication != null) { - publication.close(); - } - if (aeron != null) { - aeron.close(); - } + if (publisherFuture != null) { + publisherFuture.cancel(true); + } - LOGGER.info("Market Data Publisher shut down. Total messages published: " + messagesPublished.get()); + if (statsFuture != null) { + statsFuture.cancel(true); + } + + if (publication != null) { + publication.close(); + } + if (aeron != null) { + aeron.close(); } - public long getMessagesPublished() { - return messagesPublished.get(); + LOGGER.info( + "Market Data Publisher shut down. Total messages published: " + messagesPublished.get()); + } + + public long getMessagesPublished() { + return messagesPublished.get(); + } + + public long getClusterMessagesPublished() { + if (clusterMessageCounter != null) { + try { + return clusterMessageCounter.get(); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to read cluster message counter", e); + } } + return 0; + } } diff --git a/src/main/java/fish/payara/trader/concurrency/ConcurrencyConfig.java b/src/main/java/fish/payara/trader/concurrency/ConcurrencyConfig.java index a9079aa..1317877 100644 --- a/src/main/java/fish/payara/trader/concurrency/ConcurrencyConfig.java +++ b/src/main/java/fish/payara/trader/concurrency/ConcurrencyConfig.java @@ -4,14 +4,12 @@ import jakarta.enterprise.context.ApplicationScoped; /** - * Configuration for Jakarta Concurrency resources. - * Defines a ManagedExecutorService that uses Virtual Threads (Project Loom). + * Configuration for Jakarta Concurrency resources. Defines a ManagedExecutorService that uses + * Virtual Threads (Project Loom). */ @ApplicationScoped @ManagedExecutorDefinition( name = "java:module/concurrent/VirtualThreadExecutor", virtual = true, - qualifiers = {VirtualThreadExecutor.class} -) -public class ConcurrencyConfig { -} + qualifiers = {VirtualThreadExecutor.class}) +public class ConcurrencyConfig {} diff --git a/src/main/java/fish/payara/trader/concurrency/VirtualThreadExecutor.java b/src/main/java/fish/payara/trader/concurrency/VirtualThreadExecutor.java index 10c85c6..eb1d993 100644 --- a/src/main/java/fish/payara/trader/concurrency/VirtualThreadExecutor.java +++ b/src/main/java/fish/payara/trader/concurrency/VirtualThreadExecutor.java @@ -6,16 +6,12 @@ import static java.lang.annotation.ElementType.TYPE; import static java.lang.annotation.RetentionPolicy.RUNTIME; +import jakarta.inject.Qualifier; import java.lang.annotation.Retention; import java.lang.annotation.Target; -import jakarta.inject.Qualifier; - -/** - * Qualifier for Virtual Thread ManagedExecutorService - */ +/** Qualifier for Virtual Thread ManagedExecutorService */ @Qualifier @Retention(RUNTIME) @Target({METHOD, FIELD, PARAMETER, TYPE}) -public @interface VirtualThreadExecutor { -} +public @interface VirtualThreadExecutor {} diff --git a/src/main/java/fish/payara/trader/gc/GCStats.java b/src/main/java/fish/payara/trader/gc/GCStats.java index 23aa082..289d6cd 100644 --- a/src/main/java/fish/payara/trader/gc/GCStats.java +++ b/src/main/java/fish/payara/trader/gc/GCStats.java @@ -3,75 +3,145 @@ import java.util.List; public class GCStats { - private String gcName; - private long collectionCount; - private long collectionTime; - private long lastPauseDuration; - private List recentPauses; - private PausePercentiles percentiles; - private long totalMemory; - private long usedMemory; - private long freeMemory; - - public static class PausePercentiles { - private long p50; - private long p95; - private long p99; - private long p999; - private long max; - - public PausePercentiles() {} - - public PausePercentiles(long p50, long p95, long p99, long p999, long max) { - this.p50 = p50; - this.p95 = p95; - this.p99 = p99; - this.p999 = p999; - this.max = max; - } - - public long getP50() { return p50; } - public void setP50(long p50) { this.p50 = p50; } - - public long getP95() { return p95; } - public void setP95(long p95) { this.p95 = p95; } - - public long getP99() { return p99; } - public void setP99(long p99) { this.p99 = p99; } - - public long getP999() { return p999; } - public void setP999(long p999) { this.p999 = p999; } - - public long getMax() { return max; } - public void setMax(long max) { this.max = max; } + private String gcName; + private long collectionCount; + private long collectionTime; + private long lastPauseDuration; + private List recentPauses; + private PausePercentiles percentiles; + private long totalMemory; + private long usedMemory; + private long freeMemory; + + public static class PausePercentiles { + private long p50; + private long p95; + private long p99; + private long p999; + private long max; + + public PausePercentiles() {} + + public PausePercentiles(long p50, long p95, long p99, long p999, long max) { + this.p50 = p50; + this.p95 = p95; + this.p99 = p99; + this.p999 = p999; + this.max = max; } - public GCStats() {} + public long getP50() { + return p50; + } + + public void setP50(long p50) { + this.p50 = p50; + } + + public long getP95() { + return p95; + } + + public void setP95(long p95) { + this.p95 = p95; + } + + public long getP99() { + return p99; + } + + public void setP99(long p99) { + this.p99 = p99; + } + + public long getP999() { + return p999; + } + + public void setP999(long p999) { + this.p999 = p999; + } + + public long getMax() { + return max; + } + + public void setMax(long max) { + this.max = max; + } + } + + public GCStats() {} + + public String getGcName() { + return gcName; + } + + public void setGcName(String gcName) { + this.gcName = gcName; + } + + public long getCollectionCount() { + return collectionCount; + } + + public void setCollectionCount(long collectionCount) { + this.collectionCount = collectionCount; + } + + public long getCollectionTime() { + return collectionTime; + } + + public void setCollectionTime(long collectionTime) { + this.collectionTime = collectionTime; + } + + public long getLastPauseDuration() { + return lastPauseDuration; + } + + public void setLastPauseDuration(long lastPauseDuration) { + this.lastPauseDuration = lastPauseDuration; + } + + public List getRecentPauses() { + return recentPauses; + } - public String getGcName() { return gcName; } - public void setGcName(String gcName) { this.gcName = gcName; } + public void setRecentPauses(List recentPauses) { + this.recentPauses = recentPauses; + } - public long getCollectionCount() { return collectionCount; } - public void setCollectionCount(long collectionCount) { this.collectionCount = collectionCount; } + public PausePercentiles getPercentiles() { + return percentiles; + } - public long getCollectionTime() { return collectionTime; } - public void setCollectionTime(long collectionTime) { this.collectionTime = collectionTime; } + public void setPercentiles(PausePercentiles percentiles) { + this.percentiles = percentiles; + } - public long getLastPauseDuration() { return lastPauseDuration; } - public void setLastPauseDuration(long lastPauseDuration) { this.lastPauseDuration = lastPauseDuration; } + public long getTotalMemory() { + return totalMemory; + } - public List getRecentPauses() { return recentPauses; } - public void setRecentPauses(List recentPauses) { this.recentPauses = recentPauses; } + public void setTotalMemory(long totalMemory) { + this.totalMemory = totalMemory; + } - public PausePercentiles getPercentiles() { return percentiles; } - public void setPercentiles(PausePercentiles percentiles) { this.percentiles = percentiles; } + public long getUsedMemory() { + return usedMemory; + } - public long getTotalMemory() { return totalMemory; } - public void setTotalMemory(long totalMemory) { this.totalMemory = totalMemory; } + public void setUsedMemory(long usedMemory) { + this.usedMemory = usedMemory; + } - public long getUsedMemory() { return usedMemory; } - public void setUsedMemory(long usedMemory) { this.usedMemory = usedMemory; } + public long getFreeMemory() { + return freeMemory; + } - public long getFreeMemory() { return freeMemory; } - public void setFreeMemory(long freeMemory) { this.freeMemory = freeMemory; } + public void setFreeMemory(long freeMemory) { + this.freeMemory = freeMemory; + } } diff --git a/src/main/java/fish/payara/trader/gc/GCStatsService.java b/src/main/java/fish/payara/trader/gc/GCStatsService.java index 52c80c8..5239af2 100644 --- a/src/main/java/fish/payara/trader/gc/GCStatsService.java +++ b/src/main/java/fish/payara/trader/gc/GCStatsService.java @@ -1,7 +1,8 @@ package fish.payara.trader.gc; +import com.sun.management.GarbageCollectionNotificationInfo; +import jakarta.annotation.PostConstruct; import jakarta.enterprise.context.ApplicationScoped; - import java.lang.management.GarbageCollectorMXBean; import java.lang.management.ManagementFactory; import java.lang.management.MemoryMXBean; @@ -10,119 +11,148 @@ import java.util.concurrent.ConcurrentLinkedDeque; import java.util.logging.Logger; import java.util.stream.Collectors; +import javax.management.Notification; +import javax.management.NotificationEmitter; +import javax.management.NotificationListener; +import javax.management.openmbean.CompositeData; @ApplicationScoped -public class GCStatsService { - - private static final Logger LOGGER = Logger.getLogger(GCStatsService.class.getName()); - private static final int MAX_PAUSE_HISTORY = 1000; - - private final Map> pauseHistory = new HashMap<>(); - private final Map lastCollectionCount = new HashMap<>(); - private final Map lastCollectionTime = new HashMap<>(); - - public List collectGCStats() { - List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); - MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean(); - MemoryUsage heapUsage = memoryBean.getHeapMemoryUsage(); - - List statsList = new ArrayList<>(); - - for (GarbageCollectorMXBean gcBean : gcBeans) { - String gcName = gcBean.getName(); - long currentCount = gcBean.getCollectionCount(); - long currentTime = gcBean.getCollectionTime(); - - GCStats stats = new GCStats(); - stats.setGcName(gcName); - stats.setCollectionCount(currentCount); - stats.setCollectionTime(currentTime); - - // Calculate pause duration since last check - Long prevCount = lastCollectionCount.get(gcName); - Long prevTime = lastCollectionTime.get(gcName); - - if (prevCount != null && prevTime != null) { - long countDelta = currentCount - prevCount; - long timeDelta = currentTime - prevTime; - - if (countDelta > 0) { - long avgPauseDuration = timeDelta / countDelta; - stats.setLastPauseDuration(avgPauseDuration); - - // Track pause history - ConcurrentLinkedDeque history = pauseHistory.computeIfAbsent( - gcName, k -> new ConcurrentLinkedDeque<>() - ); - - // Add new pauses (simplified - one entry per collection) - for (int i = 0; i < countDelta; i++) { - history.addLast(avgPauseDuration); - if (history.size() > MAX_PAUSE_HISTORY) { - history.removeFirst(); - } - } - } - } - - // Update tracking - lastCollectionCount.put(gcName, currentCount); - lastCollectionTime.put(gcName, currentTime); - - // Get recent pauses - ConcurrentLinkedDeque history = pauseHistory.get(gcName); - if (history != null && !history.isEmpty()) { - stats.setRecentPauses(new ArrayList<>(history).subList( - Math.max(0, history.size() - 100), history.size() - )); - - // Calculate percentiles - List sortedPauses = history.stream() - .sorted() - .collect(Collectors.toList()); - - stats.setPercentiles(calculatePercentiles(sortedPauses)); - } else { - stats.setRecentPauses(Collections.emptyList()); - stats.setPercentiles(new GCStats.PausePercentiles(0, 0, 0, 0, 0)); - } - - // Memory stats - stats.setTotalMemory(heapUsage.getMax()); - stats.setUsedMemory(heapUsage.getUsed()); - stats.setFreeMemory(heapUsage.getMax() - heapUsage.getUsed()); - - statsList.add(stats); - } - - return statsList; +public class GCStatsService implements NotificationListener { + + private static final Logger LOGGER = Logger.getLogger(GCStatsService.class.getName()); + private static final int MAX_PAUSE_HISTORY = 1000; + + private final Map> pauseHistory = new HashMap<>(); + + @PostConstruct + public void init() { + LOGGER.info("Initializing GC Notification Listener..."); + List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); + for (GarbageCollectorMXBean gcBean : gcBeans) { + LOGGER.info("Registering listener for GC Bean: " + gcBean.getName()); + if (gcBean instanceof NotificationEmitter) { + ((NotificationEmitter) gcBean).addNotificationListener(this, null, null); + } } - - private GCStats.PausePercentiles calculatePercentiles(List sortedPauses) { - if (sortedPauses.isEmpty()) { - return new GCStats.PausePercentiles(0, 0, 0, 0, 0); - } - - int size = sortedPauses.size(); - return new GCStats.PausePercentiles( - percentile(sortedPauses, 0.50), - percentile(sortedPauses, 0.95), - percentile(sortedPauses, 0.99), - percentile(sortedPauses, 0.999), - sortedPauses.get(size - 1) - ); + } + + @Override + public void handleNotification(Notification notification, Object handback) { + if (notification + .getType() + .equals(GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION)) { + GarbageCollectionNotificationInfo info = + GarbageCollectionNotificationInfo.from((CompositeData) notification.getUserData()); + + String gcName = info.getGcName(); + String gcAction = info.getGcAction(); + String gcCause = info.getGcCause(); + long duration = info.getGcInfo().getDuration(); + + // FILTERING LOGIC: + // Azul C4 exposes "GPGC" (Concurrent Cycle) and "GPGC Pauses" (STW Pauses). + // We MUST ignore "GPGC" because it reports cycle time (hundreds of ms) which is NOT a pause. + if ("GPGC".equals(gcName)) { + return; + } + + // Also ignore other known concurrent cycle beans if they appear + if (gcName.contains("Cycles") && !gcName.contains("Pauses")) { + return; + } + + // Only record if duration > 0 (sub-millisecond pauses might show as 0 or 1) + // Storing all for fidelity. + + ConcurrentLinkedDeque history = + pauseHistory.computeIfAbsent(gcName, k -> new ConcurrentLinkedDeque<>()); + + history.addLast(duration); + while (history.size() > MAX_PAUSE_HISTORY) { + history.removeFirst(); + } + + // Log significant pauses (> 10ms) + if (duration > 10) { + LOGGER.info( + String.format( + "GC Pause detected: %s | Action: %s | Cause: %s | Duration: %d ms", + gcName, gcAction, gcCause, duration)); + } } + } + + public List collectGCStats() { + List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); + MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean(); + MemoryUsage heapUsage = memoryBean.getHeapMemoryUsage(); + + List statsList = new ArrayList<>(); + + for (GarbageCollectorMXBean gcBean : gcBeans) { + String gcName = gcBean.getName(); + + // Exclude concurrent cycle collectors from the public stats to avoid confusion + if ("GPGC".equals(gcName) || (gcName.contains("Cycles") && !gcName.contains("Pauses"))) { + continue; + } + + GCStats stats = new GCStats(); + stats.setGcName(gcName); + stats.setCollectionCount(gcBean.getCollectionCount()); + stats.setCollectionTime(gcBean.getCollectionTime()); - private long percentile(List sortedValues, double percentile) { - int index = (int) Math.ceil(percentile * sortedValues.size()) - 1; - index = Math.max(0, Math.min(index, sortedValues.size() - 1)); - return sortedValues.get(index); + // Get recent pauses from accurate history + ConcurrentLinkedDeque history = pauseHistory.get(gcName); + if (history != null && !history.isEmpty()) { + List pauses = new ArrayList<>(history); + stats.setLastPauseDuration(pauses.get(pauses.size() - 1)); + + stats.setRecentPauses(pauses.subList(Math.max(0, pauses.size() - 100), pauses.size())); + + // Calculate percentiles + List sortedPauses = pauses.stream().sorted().collect(Collectors.toList()); + + stats.setPercentiles(calculatePercentiles(sortedPauses)); + } else { + stats.setLastPauseDuration(0); + stats.setRecentPauses(Collections.emptyList()); + stats.setPercentiles(new GCStats.PausePercentiles(0, 0, 0, 0, 0)); + } + + // Memory stats + stats.setTotalMemory(heapUsage.getMax()); + stats.setUsedMemory(heapUsage.getUsed()); + stats.setFreeMemory(heapUsage.getMax() - heapUsage.getUsed()); + + statsList.add(stats); } - public void resetStats() { - pauseHistory.clear(); - lastCollectionCount.clear(); - lastCollectionTime.clear(); - LOGGER.info("GC statistics reset"); + return statsList; + } + + private GCStats.PausePercentiles calculatePercentiles(List sortedPauses) { + if (sortedPauses.isEmpty()) { + return new GCStats.PausePercentiles(0, 0, 0, 0, 0); } + + int size = sortedPauses.size(); + return new GCStats.PausePercentiles( + percentile(sortedPauses, 0.50), + percentile(sortedPauses, 0.95), + percentile(sortedPauses, 0.99), + percentile(sortedPauses, 0.999), + sortedPauses.get(size - 1)); + } + + private long percentile(List sortedValues, double percentile) { + int index = (int) Math.ceil(percentile * sortedValues.size()) - 1; + index = Math.max(0, Math.min(index, sortedValues.size() - 1)); + return sortedValues.get(index); + } + + public void resetStats() { + pauseHistory.clear(); + LOGGER.info("GC statistics reset"); + } } diff --git a/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java b/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java new file mode 100644 index 0000000..3774922 --- /dev/null +++ b/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java @@ -0,0 +1,246 @@ +package fish.payara.trader.monitoring; + +import com.sun.management.GarbageCollectionNotificationInfo; +import com.sun.management.GcInfo; +import jakarta.annotation.PostConstruct; +import jakarta.annotation.PreDestroy; +import jakarta.enterprise.context.ApplicationScoped; +import java.lang.management.GarbageCollectorMXBean; +import java.lang.management.ManagementFactory; +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; +import java.util.concurrent.ConcurrentLinkedDeque; +import java.util.concurrent.atomic.AtomicLong; +import java.util.logging.Level; +import java.util.logging.Logger; +import javax.management.Notification; +import javax.management.NotificationEmitter; +import javax.management.NotificationListener; +import javax.management.openmbean.CompositeData; + +/** + * Real-time GC pause monitoring using JMX notifications. Captures individual GC events with exact + * pause times (not averaged). + */ +@ApplicationScoped +public class GCPauseMonitor implements NotificationListener { + + private static final Logger LOGGER = Logger.getLogger(GCPauseMonitor.class.getName()); + + // Keep last N pauses for percentile calculations (reactive window) + private static final int MAX_PAUSE_HISTORY = 500; + + // Pause history (milliseconds) + private final ConcurrentLinkedDeque pauseHistory = new ConcurrentLinkedDeque<>(); + + // All-time statistics + private final AtomicLong totalPauseCount = new AtomicLong(0); + private final AtomicLong totalPauseTimeMs = new AtomicLong(0); + private volatile long maxPauseMs = 0; + + // SLA violation counters (all-time) + private final AtomicLong violationsOver10ms = new AtomicLong(0); + private final AtomicLong violationsOver50ms = new AtomicLong(0); + private final AtomicLong violationsOver100ms = new AtomicLong(0); + + private final List emitters = new ArrayList<>(); + + @PostConstruct + public void init() { + LOGGER.info("Initializing GC Pause Monitor with JMX notifications"); + + List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); + + for (GarbageCollectorMXBean gcBean : gcBeans) { + if (gcBean instanceof NotificationEmitter) { + NotificationEmitter emitter = (NotificationEmitter) gcBean; + emitter.addNotificationListener(this, null, null); + emitters.add(emitter); + LOGGER.info("Registered GC notification listener for: " + gcBean.getName()); + } + } + + if (emitters.isEmpty()) { + LOGGER.warning("No GC notification emitters found - pause monitoring may be limited"); + } + } + + @PreDestroy + public void cleanup() { + for (NotificationEmitter emitter : emitters) { + try { + emitter.removeNotificationListener(this); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to remove GC notification listener", e); + } + } + emitters.clear(); + } + + @Override + public void handleNotification(Notification notification, Object handback) { + if (!notification + .getType() + .equals(GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION)) { + return; + } + + try { + CompositeData cd = (CompositeData) notification.getUserData(); + GarbageCollectionNotificationInfo info = GarbageCollectionNotificationInfo.from(cd); + String gcName = info.getGcName(); + + // FILTERING LOGIC: + // Azul C4 exposes "GPGC" (Concurrent Cycle) and "GPGC Pauses" (STW Pauses). + // We MUST ignore "GPGC" because it reports cycle time (hundreds of ms) which is NOT a pause. + if ("GPGC".equals(gcName) || (gcName.contains("Cycles") && !gcName.contains("Pauses"))) { + return; + } + + GcInfo gcInfo = info.getGcInfo(); + long pauseMs = gcInfo.getDuration(); + + // Record pause + recordPause(pauseMs, gcName, info.getGcAction()); + + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Error processing GC notification", e); + } + } + + private void recordPause(long pauseMs, String gcName, String gcAction) { + // Add to history + pauseHistory.addLast(pauseMs); + if (pauseHistory.size() > MAX_PAUSE_HISTORY) { + pauseHistory.removeFirst(); + } + + // Update statistics + totalPauseCount.incrementAndGet(); + totalPauseTimeMs.addAndGet(pauseMs); + + // Update max (thread-safe but may miss true max in race condition - acceptable for monitoring) + if (pauseMs > maxPauseMs) { + synchronized (this) { + if (pauseMs > maxPauseMs) { + maxPauseMs = pauseMs; + } + } + } + + // Track SLA violations + if (pauseMs > 100) { + violationsOver100ms.incrementAndGet(); + violationsOver50ms.incrementAndGet(); + violationsOver10ms.incrementAndGet(); + } else if (pauseMs > 50) { + violationsOver50ms.incrementAndGet(); + violationsOver10ms.incrementAndGet(); + } else if (pauseMs > 10) { + violationsOver10ms.incrementAndGet(); + } + + // Log significant pauses + if (pauseMs > 100) { + LOGGER.warning( + String.format("Large GC pause detected: %d ms [%s - %s]", pauseMs, gcName, gcAction)); + } else if (pauseMs > 50) { + LOGGER.info(String.format("Notable GC pause: %d ms [%s - %s]", pauseMs, gcName, gcAction)); + } + } + + public GCPauseStats getStats() { + List pauses = new ArrayList<>(pauseHistory); + + if (pauses.isEmpty()) { + return new GCPauseStats(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0); + } + + Collections.sort(pauses); + + long p50 = percentile(pauses, 0.50); + long p95 = percentile(pauses, 0.95); + long p99 = percentile(pauses, 0.99); + long p999 = percentile(pauses, 0.999); + long max = pauses.get(pauses.size() - 1); + + long count = totalPauseCount.get(); + long totalTime = totalPauseTimeMs.get(); + double avgPause = count > 0 ? (double) totalTime / count : 0; + + return new GCPauseStats( + count, + totalTime, + avgPause, + p50, + p95, + p99, + p999, + maxPauseMs, // All-time max + violationsOver10ms.get(), + violationsOver50ms.get(), + violationsOver100ms.get(), + pauses.size() // Sample size for percentiles + ); + } + + private long percentile(List sortedValues, double percentile) { + int index = (int) Math.ceil(percentile * sortedValues.size()) - 1; + index = Math.max(0, Math.min(index, sortedValues.size() - 1)); + return sortedValues.get(index); + } + + public void reset() { + pauseHistory.clear(); + totalPauseCount.set(0); + totalPauseTimeMs.set(0); + maxPauseMs = 0; + violationsOver10ms.set(0); + violationsOver50ms.set(0); + violationsOver100ms.set(0); + LOGGER.info("GC pause statistics reset"); + } + + public static class GCPauseStats { + public final long totalPauseCount; + public final long totalPauseTimeMs; + public final double avgPauseMs; + public final long p50Ms; + public final long p95Ms; + public final long p99Ms; + public final long p999Ms; + public final long maxMs; // All-time max since startup/reset + public final long violationsOver10ms; + public final long violationsOver50ms; + public final long violationsOver100ms; + public final int sampleSize; + + public GCPauseStats( + long totalPauseCount, + long totalPauseTimeMs, + double avgPauseMs, + long p50Ms, + long p95Ms, + long p99Ms, + long p999Ms, + long maxMs, + long violationsOver10ms, + long violationsOver50ms, + long violationsOver100ms, + int sampleSize) { + this.totalPauseCount = totalPauseCount; + this.totalPauseTimeMs = totalPauseTimeMs; + this.avgPauseMs = avgPauseMs; + this.p50Ms = p50Ms; + this.p95Ms = p95Ms; + this.p99Ms = p99Ms; + this.p999Ms = p999Ms; + this.maxMs = maxMs; + this.violationsOver10ms = violationsOver10ms; + this.violationsOver50ms = violationsOver50ms; + this.violationsOver100ms = violationsOver100ms; + this.sampleSize = sampleSize; + } + } +} diff --git a/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java b/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java new file mode 100644 index 0000000..5e48f73 --- /dev/null +++ b/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java @@ -0,0 +1,100 @@ +package fish.payara.trader.monitoring; + +import jakarta.enterprise.context.ApplicationScoped; +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.atomic.AtomicLong; +import java.util.logging.Logger; + +@ApplicationScoped +public class SLAMonitorService { + + private static final Logger LOGGER = Logger.getLogger(SLAMonitorService.class.getName()); + + // SLA thresholds + private static final long SLA_10MS = 10; + private static final long SLA_50MS = 50; + private static final long SLA_100MS = 100; + + // Violation counters + private final AtomicLong violationsOver10ms = new AtomicLong(0); + private final AtomicLong violationsOver50ms = new AtomicLong(0); + private final AtomicLong violationsOver100ms = new AtomicLong(0); + private final AtomicLong totalOperations = new AtomicLong(0); + + // Rolling window (last 5 minutes) + private final ConcurrentHashMap violationsByMinute = new ConcurrentHashMap<>(); + + /** Record an operation latency and check for SLA violations */ + public void recordOperation(long latencyMs) { + totalOperations.incrementAndGet(); + + if (latencyMs > SLA_100MS) { + violationsOver100ms.incrementAndGet(); + violationsOver50ms.incrementAndGet(); + violationsOver10ms.incrementAndGet(); + recordViolation(); + } else if (latencyMs > SLA_50MS) { + violationsOver50ms.incrementAndGet(); + violationsOver10ms.incrementAndGet(); + recordViolation(); + } else if (latencyMs > SLA_10MS) { + violationsOver10ms.incrementAndGet(); + recordViolation(); + } + } + + private void recordViolation() { + long currentMinute = System.currentTimeMillis() / 60000; + violationsByMinute.merge(currentMinute, 1L, Long::sum); + + // Clean up old entries (> 5 minutes) + long fiveMinutesAgo = currentMinute - 5; + violationsByMinute.keySet().removeIf(minute -> minute < fiveMinutesAgo); + } + + /** Get SLA compliance statistics */ + public SLAStats getStats() { + long total = totalOperations.get(); + + return new SLAStats( + total, + violationsOver10ms.get(), + violationsOver50ms.get(), + violationsOver100ms.get(), + total > 0 ? (double) violationsOver10ms.get() / total * 100 : 0, + violationsByMinute.values().stream().mapToLong(Long::longValue).sum()); + } + + public void reset() { + violationsOver10ms.set(0); + violationsOver50ms.set(0); + violationsOver100ms.set(0); + totalOperations.set(0); + violationsByMinute.clear(); + LOGGER.info("SLA statistics reset"); + } + + public static class SLAStats { + public final long totalOperations; + public final long violationsOver10ms; + public final long violationsOver50ms; + public final long violationsOver100ms; + public final double violationRate; + public final long recentViolations; // Last 5 minutes + + public SLAStats( + long totalOperations, + long violationsOver10ms, + long violationsOver50ms, + long violationsOver100ms, + double violationRate, + long recentViolations) { + this.totalOperations = totalOperations; + this.violationsOver10ms = violationsOver10ms; + this.violationsOver50ms = violationsOver50ms; + this.violationsOver100ms = violationsOver100ms; + this.violationRate = violationRate; + this.recentViolations = recentViolations; + } + } +} diff --git a/src/main/java/fish/payara/trader/pressure/AllocationMode.java b/src/main/java/fish/payara/trader/pressure/AllocationMode.java index 0f73137..e8ea920 100644 --- a/src/main/java/fish/payara/trader/pressure/AllocationMode.java +++ b/src/main/java/fish/payara/trader/pressure/AllocationMode.java @@ -1,35 +1,35 @@ package fish.payara.trader.pressure; public enum AllocationMode { - OFF(0, 0, "No additional allocation"), - LOW(10, 1024, "10 KB/iteration - Light pressure"), - MEDIUM(50, 1024, "50 KB/iteration - Moderate pressure"), - HIGH(200, 1024, "200 KB/iteration - Heavy pressure"), - EXTREME(1000, 1024, "1 MB/iteration - Extreme pressure"); + OFF(0, 0, "No additional allocation"), + LOW(10, 10240, "1 MB/sec - Light pressure"), + MEDIUM(100, 10240, "10 MB/sec - Moderate pressure"), + HIGH(5000, 10240, "500 MB/sec - Heavy pressure"), + EXTREME(20000, 10240, "2 GB/sec - Extreme pressure"); - private final int allocationsPerIteration; - private final int bytesPerAllocation; - private final String description; + private final int allocationsPerIteration; + private final int bytesPerAllocation; + private final String description; - AllocationMode(int allocationsPerIteration, int bytesPerAllocation, String description) { - this.allocationsPerIteration = allocationsPerIteration; - this.bytesPerAllocation = bytesPerAllocation; - this.description = description; - } + AllocationMode(int allocationsPerIteration, int bytesPerAllocation, String description) { + this.allocationsPerIteration = allocationsPerIteration; + this.bytesPerAllocation = bytesPerAllocation; + this.description = description; + } - public int getAllocationsPerIteration() { - return allocationsPerIteration; - } + public int getAllocationsPerIteration() { + return allocationsPerIteration; + } - public int getBytesPerAllocation() { - return bytesPerAllocation; - } + public int getBytesPerAllocation() { + return bytesPerAllocation; + } - public String getDescription() { - return description; - } + public String getDescription() { + return description; + } - public long getBytesPerSecond() { - return (long) allocationsPerIteration * bytesPerAllocation * 10; // 10 iterations/sec - } + public long getBytesPerSecond() { + return (long) allocationsPerIteration * bytesPerAllocation * 10; // 10 iterations/sec + } } diff --git a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java index a131352..29008a9 100644 --- a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java +++ b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java @@ -6,207 +6,246 @@ import jakarta.enterprise.concurrent.ManagedExecutorService; import jakarta.enterprise.context.ApplicationScoped; import jakarta.inject.Inject; - import java.util.ArrayList; import java.util.List; +import java.util.concurrent.CopyOnWriteArrayList; import java.util.concurrent.Future; import java.util.concurrent.ThreadLocalRandom; +import java.util.concurrent.atomic.AtomicLong; import java.util.logging.Logger; /** - * Service to generate controlled memory pressure for GC stress testing. - * Based on 1BRC techniques - intentional allocation to demonstrate GC behavior. + * Service to generate controlled memory pressure for GC stress testing. Based on 1BRC techniques - + * intentional allocation to demonstrate GC behavior. */ @ApplicationScoped public class MemoryPressureService { - private static final Logger LOGGER = Logger.getLogger(MemoryPressureService.class.getName()); + private static final Logger LOGGER = Logger.getLogger(MemoryPressureService.class.getName()); - private volatile AllocationMode currentMode = AllocationMode.OFF; - private volatile boolean running = false; - private Future pressureTask; + private volatile AllocationMode currentMode = AllocationMode.OFF; + private volatile boolean running = false; + private Future pressureTask; - private long totalBytesAllocated = 0; - private long lastStatsTime = System.currentTimeMillis(); + private long totalBytesAllocated = 0; + private long lastStatsTime = System.currentTimeMillis(); - @Inject - @VirtualThreadExecutor - private ManagedExecutorService executorService; + // Long-lived objects that survive to tenured/old generation + private final List tenuredObjects = new CopyOnWriteArrayList<>(); + private static final int TENURED_TARGET_MB = 1024; // Target 1GB in old gen + private final AtomicLong tenuredBytesAllocated = new AtomicLong(0); - @PostConstruct - public void init() { - LOGGER.info("MemoryPressureService initialized"); - } + @Inject @VirtualThreadExecutor private ManagedExecutorService executorService; - public synchronized void setAllocationMode(AllocationMode mode) { - if (mode == currentMode) { - return; - } + @PostConstruct + public void init() { + LOGGER.info("MemoryPressureService initialized"); + } - LOGGER.info("Changing allocation mode from " + currentMode + " to " + mode); - currentMode = mode; + public synchronized void setAllocationMode(AllocationMode mode) { + if (mode == currentMode) { + return; + } - if (mode == AllocationMode.OFF) { - stopPressure(); - } else { - startPressure(); - } + LOGGER.info("Changing allocation mode from " + currentMode + " to " + mode); + currentMode = mode; + + if (mode == AllocationMode.OFF) { + stopPressure(); + } else { + startPressure(); } + } - private synchronized void startPressure() { - if (running) { - return; - } + private synchronized void startPressure() { + if (running) { + return; + } - running = true; - totalBytesAllocated = 0; - lastStatsTime = System.currentTimeMillis(); + running = true; + totalBytesAllocated = 0; + lastStatsTime = System.currentTimeMillis(); - pressureTask = executorService.submit(() -> { - LOGGER.info("Memory pressure generator started with mode: " + currentMode); + pressureTask = + executorService.submit( + () -> { + LOGGER.info("Memory pressure generator started with mode: " + currentMode); - while (running) { + while (running) { try { - AllocationMode mode = currentMode; - if (mode == AllocationMode.OFF) { - break; - } + AllocationMode mode = currentMode; + if (mode == AllocationMode.OFF) { + break; + } - // Generate garbage for this iteration - generateGarbage(mode); + // Generate garbage for this iteration + generateGarbage(mode); - // Sleep 100ms between iterations (10 iterations/sec) - Thread.sleep(100); + // Sleep 100ms between iterations (10 iterations/sec) + Thread.sleep(100); - // Log stats every 5 seconds - logStats(); + // Log stats every 5 seconds + logStats(); } catch (InterruptedException e) { - Thread.currentThread().interrupt(); - break; + Thread.currentThread().interrupt(); + break; } catch (Exception e) { - LOGGER.warning("Error in memory pressure generator: " + e.getMessage()); + LOGGER.warning("Error in memory pressure generator: " + e.getMessage()); } - } - - LOGGER.info("Memory pressure generator stopped"); - }); - } - - private synchronized void stopPressure() { - running = false; - if (pressureTask != null && !pressureTask.isDone()) { - pressureTask.cancel(true); - pressureTask = null; - } - } - - private void generateGarbage(AllocationMode mode) { - int allocations = mode.getAllocationsPerIteration(); - int bytesPerAlloc = mode.getBytesPerAllocation(); - - for (int i = 0; i < allocations; i++) { - // Mix different allocation patterns - int pattern = i % 4; + } - switch (pattern) { - case 0: - // String allocations (most common in real apps) - generateStringGarbage(bytesPerAlloc); - break; - case 1: - // Byte array allocations - generateByteArrayGarbage(bytesPerAlloc); - break; - case 2: - // Object allocations - generateObjectGarbage(bytesPerAlloc / 64); // ~64 bytes per object - break; - case 3: - // Collection allocations - generateCollectionGarbage(bytesPerAlloc / 100); // ~100 bytes per list item - break; - } + LOGGER.info("Memory pressure generator stopped"); + }); + } - totalBytesAllocated += bytesPerAlloc; - } + private synchronized void stopPressure() { + running = false; + if (pressureTask != null && !pressureTask.isDone()) { + pressureTask.cancel(true); + pressureTask = null; } - - private void generateStringGarbage(int bytes) { - // Create strings via concatenation (generates intermediate garbage) - StringBuilder sb = new StringBuilder(bytes); - for (int i = 0; i < bytes / 10; i++) { - sb.append("GARBAGE"); + } + + private void generateGarbage(AllocationMode mode) { + int allocations = mode.getAllocationsPerIteration(); + int bytesPerAlloc = mode.getBytesPerAllocation(); + + for (int i = 0; i < allocations; i++) { + // Mix different allocation patterns + int pattern = i % 4; + + switch (pattern) { + case 0: + generateStringGarbage(bytesPerAlloc); + break; + case 1: + generateByteArrayGarbage(bytesPerAlloc); + break; + case 2: + generateObjectGarbage(bytesPerAlloc / 64); + break; + case 3: + generateCollectionGarbage(bytesPerAlloc / 100); + break; + } + + // NEW: Create long-lived objects inside the loop for higher impact + if (mode == AllocationMode.HIGH || mode == AllocationMode.EXTREME) { + // 0.1% chance in EXTREME (20 objects/iteration = 200MB/s) + // 0.02% chance in HIGH (1 object/iteration = 10MB/s) + int chance = (mode == AllocationMode.EXTREME) ? 10 : 2; + if (ThreadLocalRandom.current().nextInt(10000) < chance) { + byte[] longLived = new byte[1024 * 1024]; // 1MB object + ThreadLocalRandom.current().nextBytes(longLived); // Prevent optimization + tenuredObjects.add(longLived); + tenuredBytesAllocated.addAndGet(1024 * 1024); } - String garbage = sb.toString(); - // String is now eligible for GC - } - - private void generateByteArrayGarbage(int bytes) { - byte[] garbage = new byte[bytes]; - // Fill with random data to prevent compiler optimization - ThreadLocalRandom.current().nextBytes(garbage); - // Array is now eligible for GC - } + } - private void generateObjectGarbage(int count) { - List garbage = new ArrayList<>(count); - for (int i = 0; i < count; i++) { - garbage.add(new DummyObject(i, "data-" + i, System.nanoTime())); - } - // List and objects are now eligible for GC + totalBytesAllocated += bytesPerAlloc; } - private void generateCollectionGarbage(int count) { - List garbage = new ArrayList<>(count); - for (int i = 0; i < count; i++) { - garbage.add(ThreadLocalRandom.current().nextInt()); + // Maintain target size - remove oldest when limit reached + if (mode == AllocationMode.HIGH || mode == AllocationMode.EXTREME) { + while (tenuredBytesAllocated.get() > TENURED_TARGET_MB * 1024L * 1024L) { + if (!tenuredObjects.isEmpty()) { + tenuredObjects.remove(0); + tenuredBytesAllocated.addAndGet(-1024 * 1024); + } else { + break; } - // List is now eligible for GC + } + } else if (mode == AllocationMode.OFF || mode == AllocationMode.LOW) { + // Clear tenured objects when stress is reduced + if (!tenuredObjects.isEmpty()) { + tenuredObjects.clear(); + tenuredBytesAllocated.set(0); + } } + } - private void logStats() { - long now = System.currentTimeMillis(); - if (now - lastStatsTime >= 5000) { - double elapsedSeconds = (now - lastStatsTime) / 1000.0; - double mbPerSec = (totalBytesAllocated / (1024.0 * 1024.0)) / elapsedSeconds; - - LOGGER.info(String.format( - "Memory Pressure Stats - Mode: %s | Allocated: %.2f MB | Rate: %.2f MB/sec", - currentMode, totalBytesAllocated / (1024.0 * 1024.0), mbPerSec - )); - - totalBytesAllocated = 0; - lastStatsTime = now; - } + private void generateStringGarbage(int bytes) { + // Create strings via concatenation (generates intermediate garbage) + StringBuilder sb = new StringBuilder(bytes); + for (int i = 0; i < bytes / 10; i++) { + sb.append("GARBAGE"); } - - @PreDestroy - public void shutdown() { - LOGGER.info("Shutting down MemoryPressureService"); - stopPressure(); + String garbage = sb.toString(); + // String is now eligible for GC + } + + private void generateByteArrayGarbage(int bytes) { + byte[] garbage = new byte[bytes]; + // Fill with random data to prevent compiler optimization + ThreadLocalRandom.current().nextBytes(garbage); + // Array is now eligible for GC + } + + private void generateObjectGarbage(int count) { + List garbage = new ArrayList<>(count); + for (int i = 0; i < count; i++) { + garbage.add(new DummyObject(i, "data-" + i, System.nanoTime())); } + // List and objects are now eligible for GC + } - public AllocationMode getCurrentMode() { - return currentMode; + private void generateCollectionGarbage(int count) { + List garbage = new ArrayList<>(count); + for (int i = 0; i < count; i++) { + garbage.add(ThreadLocalRandom.current().nextInt()); } - - public boolean isRunning() { - return running; + // List is now eligible for GC + } + + private void logStats() { + long now = System.currentTimeMillis(); + if (now - lastStatsTime >= 5000) { + double elapsedSeconds = (now - lastStatsTime) / 1000.0; + double mbPerSec = (totalBytesAllocated / (1024.0 * 1024.0)) / elapsedSeconds; + + LOGGER.info( + String.format( + "Memory Pressure Stats - Mode: %s | Allocated: %.2f MB/sec | Tenured: %d MB (%d objects)", + currentMode, mbPerSec, getTenuredObjectsMB(), getTenuredObjectCount())); + + totalBytesAllocated = 0; + lastStatsTime = now; } - - /** - * Dummy object for allocation testing - */ - private static class DummyObject { - private final int id; - private final String data; - private final long timestamp; - - DummyObject(int id, String data, long timestamp) { - this.id = id; - this.data = data; - this.timestamp = timestamp; - } + } + + public long getTenuredObjectsMB() { + return tenuredBytesAllocated.get() / (1024 * 1024); + } + + public int getTenuredObjectCount() { + return tenuredObjects.size(); + } + + @PreDestroy + public void shutdown() { + LOGGER.info("Shutting down MemoryPressureService"); + stopPressure(); + } + + public AllocationMode getCurrentMode() { + return currentMode; + } + + public boolean isRunning() { + return running; + } + + /** Dummy object for allocation testing */ + private static class DummyObject { + private final int id; + private final String data; + private final long timestamp; + + DummyObject(int id, String data, long timestamp) { + this.id = id; + this.data = data; + this.timestamp = timestamp; } + } } diff --git a/src/main/java/fish/payara/trader/rest/ApplicationConfig.java b/src/main/java/fish/payara/trader/rest/ApplicationConfig.java index 528ef7e..1dd3f0f 100644 --- a/src/main/java/fish/payara/trader/rest/ApplicationConfig.java +++ b/src/main/java/fish/payara/trader/rest/ApplicationConfig.java @@ -3,10 +3,8 @@ import jakarta.ws.rs.ApplicationPath; import jakarta.ws.rs.core.Application; -/** - * JAX-RS application configuration - */ +/** JAX-RS application configuration */ @ApplicationPath("/api") public class ApplicationConfig extends Application { - // All REST resources will be available at /api/* + // All REST resources will be available at /api/* } diff --git a/src/main/java/fish/payara/trader/rest/GCStatsResource.java b/src/main/java/fish/payara/trader/rest/GCStatsResource.java index edd07b6..b07a427 100644 --- a/src/main/java/fish/payara/trader/rest/GCStatsResource.java +++ b/src/main/java/fish/payara/trader/rest/GCStatsResource.java @@ -1,42 +1,139 @@ package fish.payara.trader.rest; +import fish.payara.trader.aeron.MarketDataPublisher; import fish.payara.trader.gc.GCStats; import fish.payara.trader.gc.GCStatsService; +import fish.payara.trader.pressure.MemoryPressureService; import jakarta.inject.Inject; import jakarta.ws.rs.*; import jakarta.ws.rs.core.MediaType; import jakarta.ws.rs.core.Response; - +import java.lang.management.GarbageCollectorMXBean; +import java.lang.management.ManagementFactory; +import java.util.HashMap; import java.util.List; +import java.util.Map; import java.util.logging.Logger; +import java.util.stream.Collectors; -/** - * REST endpoint for GC statistics monitoring - */ +/** REST endpoint for GC statistics monitoring */ @Path("/gc") public class GCStatsResource { - private static final Logger LOGGER = Logger.getLogger(GCStatsResource.class.getName()); + private static final Logger LOGGER = Logger.getLogger(GCStatsResource.class.getName()); - @Inject - private GCStatsService gcStatsService; + @Inject private GCStatsService gcStatsService; - @GET - @Path("/stats") - @Produces(MediaType.APPLICATION_JSON) - public Response getGCStats() { - LOGGER.fine("GET /api/gc/stats - Collecting GC statistics"); - List stats = gcStatsService.collectGCStats(); - LOGGER.info(String.format("GET /api/gc/stats - Returned %d GC collector stats", stats.size())); - return Response.ok(stats).build(); - } + @Inject private MemoryPressureService memoryPressureService; + + @Inject private MarketDataPublisher publisher; + + @Inject private fish.payara.trader.monitoring.SLAMonitorService slaMonitor; + + @Inject private fish.payara.trader.monitoring.GCPauseMonitor gcPauseMonitor; + + @GET + @Path("/sla") + @Produces(MediaType.APPLICATION_JSON) + public Response getSLAStats() { + return Response.ok(slaMonitor.getStats()).build(); + } + + @POST + @Path("/sla/reset") + public Response resetSLAStats() { + slaMonitor.reset(); + return Response.ok(Map.of("status", "reset")).build(); + } + + @GET + @Path("/pauses") + @Produces(MediaType.APPLICATION_JSON) + public Response getGCPauseStats() { + return Response.ok(gcPauseMonitor.getStats()).build(); + } + + @POST + @Path("/pauses/reset") + public Response resetGCPauseStats() { + gcPauseMonitor.reset(); + return Response.ok(Map.of("status", "reset")).build(); + } + + @GET + @Path("/comparison") + @Produces(MediaType.APPLICATION_JSON) + public Response getComparison() { + Map comparison = new HashMap<>(); - @POST - @Path("/reset") - @Produces(MediaType.APPLICATION_JSON) - public Response resetStats() { - LOGGER.info("POST /api/gc/reset - Resetting GC statistics"); - gcStatsService.resetStats(); - return Response.ok().entity("{\"status\":\"reset\"}").build(); + // Identify which instance is responding + String instanceName = System.getenv("PAYARA_INSTANCE_NAME"); + if (instanceName == null) { + instanceName = "standalone"; } + comparison.put("instanceName", instanceName); + + // Identify which JVM is running + String jvmVendor = System.getProperty("java.vm.vendor"); + String jvmName = System.getProperty("java.vm.name"); + String gcName = + ManagementFactory.getGarbageCollectorMXBeans().stream() + .map(GarbageCollectorMXBean::getName) + .collect(Collectors.joining(", ")); + + boolean isAzulC4 = jvmVendor != null && jvmVendor.contains("Azul"); + + comparison.put("jvmVendor", jvmVendor); + comparison.put("jvmName", jvmName); + comparison.put("gcCollectors", gcName); + comparison.put("isAzulC4", isAzulC4); + comparison.put("heapSizeMB", Runtime.getRuntime().maxMemory() / (1024 * 1024)); + + // Current stress level + comparison.put("allocationMode", memoryPressureService.getCurrentMode()); + comparison.put("messageRate", publisher.getMessagesPublished()); + + // GC Performance Metrics (keep old stats for backward compatibility) + List stats = gcStatsService.collectGCStats(); + comparison.put("gcStats", stats); + + // Critical comparison metrics - USE ACCURATE GC PAUSE MONITOR + fish.payara.trader.monitoring.GCPauseMonitor.GCPauseStats pauseStats = + gcPauseMonitor.getStats(); + comparison.put("pauseP50Ms", pauseStats.p50Ms); + comparison.put("pauseP95Ms", pauseStats.p95Ms); + comparison.put("pauseP99Ms", pauseStats.p99Ms); + comparison.put("pauseP999Ms", pauseStats.p999Ms); + comparison.put("pauseMaxMs", pauseStats.maxMs); // All-time max + comparison.put("pauseAvgMs", pauseStats.avgPauseMs); + comparison.put("totalPauseCount", pauseStats.totalPauseCount); + comparison.put("totalPauseTimeMs", pauseStats.totalPauseTimeMs); + + // SLA violation tracking (accurate counts since startup/reset) + comparison.put("slaViolations10ms", pauseStats.violationsOver10ms); + comparison.put("slaViolations50ms", pauseStats.violationsOver50ms); + comparison.put("slaViolations100ms", pauseStats.violationsOver100ms); + comparison.put("pauseSampleSize", pauseStats.sampleSize); // For transparency + + return Response.ok(comparison).build(); + } + + @GET + @Path("/stats") + @Produces(MediaType.APPLICATION_JSON) + public Response getGCStats() { + LOGGER.fine("GET /api/gc/stats - Collecting GC statistics"); + List stats = gcStatsService.collectGCStats(); + LOGGER.info(String.format("GET /api/gc/stats - Returned %d GC collector stats", stats.size())); + return Response.ok(stats).build(); + } + + @POST + @Path("/reset") + @Produces(MediaType.APPLICATION_JSON) + public Response resetStats() { + LOGGER.info("POST /api/gc/reset - Resetting GC statistics"); + gcStatsService.resetStats(); + return Response.ok().entity("{\"status\":\"reset\"}").build(); + } } diff --git a/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java b/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java index 97440b9..5165d5c 100644 --- a/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java +++ b/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java @@ -6,82 +6,148 @@ import jakarta.ws.rs.*; import jakarta.ws.rs.core.MediaType; import jakarta.ws.rs.core.Response; - +import java.util.Arrays; import java.util.HashMap; +import java.util.List; import java.util.Map; import java.util.logging.Logger; +import java.util.stream.Collectors; -/** - * REST endpoint for controlling memory pressure testing - */ +/** REST endpoint for controlling memory pressure testing */ @Path("/pressure") public class MemoryPressureResource { - private static final Logger LOGGER = Logger.getLogger(MemoryPressureResource.class.getName()); + private static final Logger LOGGER = Logger.getLogger(MemoryPressureResource.class.getName()); - @Inject - private MemoryPressureService pressureService; + @Inject private MemoryPressureService pressureService; - @GET - @Path("/status") - @Produces(MediaType.APPLICATION_JSON) - public Response getStatus() { - AllocationMode currentMode = pressureService.getCurrentMode(); - LOGGER.fine(String.format("GET /api/pressure/status - Current mode: %s", currentMode.name())); + public enum StressScenario { + DEMO_BASELINE(AllocationMode.OFF, "Baseline - No artificial stress"), + DEMO_NORMAL(AllocationMode.LOW, "Normal Trading - Light load to show steady-state"), + DEMO_STRESS(AllocationMode.HIGH, "High Stress - Heavy allocation + burst patterns"), + DEMO_EXTREME(AllocationMode.EXTREME, "Extreme Stress - Maximum pressure + tenured pollution"); - Map status = new HashMap<>(); - status.put("currentMode", currentMode.name()); - status.put("description", currentMode.getDescription()); - status.put("running", pressureService.isRunning()); - status.put("bytesPerSecond", currentMode.getBytesPerSecond()); - return Response.ok(status).build(); - } + private final AllocationMode mode; + private final String description; - @POST - @Path("/mode/{mode}") - @Produces(MediaType.APPLICATION_JSON) - public Response setMode(@PathParam("mode") String modeStr) { - try { - AllocationMode mode = AllocationMode.valueOf(modeStr.toUpperCase()); - LOGGER.info(String.format("POST /api/pressure/mode/%s - Setting memory pressure mode to: %s (%.2f MB/sec)", - modeStr, mode.name(), mode.getBytesPerSecond() / (1024.0 * 1024.0))); - - pressureService.setAllocationMode(mode); - - Map result = new HashMap<>(); - result.put("success", true); - result.put("mode", mode.name()); - result.put("description", mode.getDescription()); - result.put("bytesPerSecond", mode.getBytesPerSecond()); - - return Response.ok(result).build(); - } catch (IllegalArgumentException e) { - LOGGER.warning(String.format("POST /api/pressure/mode/%s - Invalid mode requested", modeStr)); - - Map error = new HashMap<>(); - error.put("success", false); - error.put("error", "Invalid mode: " + modeStr); - error.put("validModes", new String[]{"OFF", "LOW", "MEDIUM", "HIGH", "EXTREME"}); - return Response.status(Response.Status.BAD_REQUEST).entity(error).build(); - } + StressScenario(AllocationMode mode, String description) { + this.mode = mode; + this.description = description; } - @GET - @Path("/modes") - @Produces(MediaType.APPLICATION_JSON) - public Response getModes() { - LOGGER.fine("GET /api/pressure/modes - Listing all allocation modes"); - - Map> modes = new HashMap<>(); - - for (AllocationMode mode : AllocationMode.values()) { - Map modeInfo = new HashMap<>(); - modeInfo.put("name", mode.name()); - modeInfo.put("description", mode.getDescription()); - modeInfo.put("bytesPerSecond", mode.getBytesPerSecond()); - modes.put(mode.name(), modeInfo); - } + public AllocationMode getMode() { + return mode; + } - return Response.ok(modes).build(); + public String getDescription() { + return description; } + } + + @GET + @Path("/status") + @Produces(MediaType.APPLICATION_JSON) + public Response getStatus() { + AllocationMode currentMode = pressureService.getCurrentMode(); + LOGGER.fine(String.format("GET /api/pressure/status - Current mode: %s", currentMode.name())); + + Map status = new HashMap<>(); + status.put("currentMode", currentMode.name()); + status.put("description", currentMode.getDescription()); + status.put("running", pressureService.isRunning()); + status.put("bytesPerSecond", currentMode.getBytesPerSecond()); + return Response.ok(status).build(); + } + + @POST + @Path("/mode/{mode}") + @Produces(MediaType.APPLICATION_JSON) + public Response setMode(@PathParam("mode") String modeStr) { + try { + AllocationMode mode = AllocationMode.valueOf(modeStr.toUpperCase()); + LOGGER.info( + String.format( + "POST /api/pressure/mode/%s - Setting memory pressure mode to: %s (%.2f MB/sec)", + modeStr, mode.name(), mode.getBytesPerSecond() / (1024.0 * 1024.0))); + + pressureService.setAllocationMode(mode); + + Map result = new HashMap<>(); + result.put("success", true); + result.put("mode", mode.name()); + result.put("description", mode.getDescription()); + result.put("bytesPerSecond", mode.getBytesPerSecond()); + + return Response.ok(result).build(); + } catch (IllegalArgumentException e) { + LOGGER.warning(String.format("POST /api/pressure/mode/%s - Invalid mode requested", modeStr)); + + Map error = new HashMap<>(); + error.put("success", false); + error.put("error", "Invalid mode: " + modeStr); + error.put("validModes", new String[] {"OFF", "LOW", "MEDIUM", "HIGH", "EXTREME"}); + return Response.status(Response.Status.BAD_REQUEST).entity(error).build(); + } + } + + @POST + @Path("/scenario/{scenario}") + @Produces(MediaType.APPLICATION_JSON) + public Response applyScenario(@PathParam("scenario") String scenarioName) { + try { + StressScenario scenario = StressScenario.valueOf(scenarioName.toUpperCase()); + LOGGER.info("Applying scenario: " + scenario.name()); + + pressureService.setAllocationMode(scenario.getMode()); + + return Response.ok( + Map.of( + "scenario", scenario.name(), + "description", scenario.getDescription(), + "mode", scenario.getMode(), + "status", "applied")) + .build(); + + } catch (IllegalArgumentException e) { + return Response.status(Response.Status.BAD_REQUEST) + .entity(Map.of("error", "Invalid scenario: " + scenarioName)) + .build(); + } + } + + @GET + @Path("/scenarios") + @Produces(MediaType.APPLICATION_JSON) + public Response listScenarios() { + List> scenarios = + Arrays.stream(StressScenario.values()) + .map( + s -> + Map.of( + "name", s.name(), + "description", s.getDescription(), + "mode", s.getMode().toString())) + .collect(Collectors.toList()); + + return Response.ok(scenarios).build(); + } + + @GET + @Path("/modes") + @Produces(MediaType.APPLICATION_JSON) + public Response getModes() { + LOGGER.fine("GET /api/pressure/modes - Listing all allocation modes"); + + Map> modes = new HashMap<>(); + + for (AllocationMode mode : AllocationMode.values()) { + Map modeInfo = new HashMap<>(); + modeInfo.put("name", mode.name()); + modeInfo.put("description", mode.getDescription()); + modeInfo.put("bytesPerSecond", mode.getBytesPerSecond()); + modes.put(mode.name(), modeInfo); + } + + return Response.ok(modes).build(); + } } diff --git a/src/main/java/fish/payara/trader/rest/StatusResource.java b/src/main/java/fish/payara/trader/rest/StatusResource.java index 06f01ed..c91f006 100644 --- a/src/main/java/fish/payara/trader/rest/StatusResource.java +++ b/src/main/java/fish/payara/trader/rest/StatusResource.java @@ -1,5 +1,6 @@ package fish.payara.trader.rest; +import com.hazelcast.core.HazelcastInstance; import fish.payara.trader.aeron.AeronSubscriberBean; import fish.payara.trader.aeron.MarketDataPublisher; import fish.payara.trader.websocket.MarketDataBroadcaster; @@ -9,41 +10,88 @@ import jakarta.ws.rs.Produces; import jakarta.ws.rs.core.MediaType; import jakarta.ws.rs.core.Response; - import java.util.HashMap; import java.util.Map; +import java.util.stream.Collectors; -/** - * REST endpoint for monitoring system status - */ +/** REST endpoint for monitoring system status */ @Path("/status") public class StatusResource { - @Inject - private AeronSubscriberBean subscriber; + @Inject private AeronSubscriberBean subscriber; + + @Inject private MarketDataPublisher publisher; + + @Inject private MarketDataBroadcaster broadcaster; + + @Inject private HazelcastInstance hazelcastInstance; + + @GET + @Produces(MediaType.APPLICATION_JSON) + public Response getStatus() { + Map status = new HashMap<>(); + + // Get instance name from environment variable + String instanceName = System.getenv("PAYARA_INSTANCE_NAME"); + if (instanceName == null) { + instanceName = "standalone"; + } + + status.put("application", "TradeStreamEE"); + status.put("description", "High-frequency trading dashboard with Aeron and SBE"); + status.put("instance", instanceName); + status.put("subscriber", subscriber.getStatus()); + + // Include both local and cluster-wide message counts + Map publisherStats = new HashMap<>(); + publisherStats.put("localMessagesPublished", publisher.getMessagesPublished()); + publisherStats.put("clusterMessagesPublished", publisher.getClusterMessagesPublished()); + status.put("publisher", publisherStats); + + status.put("websocket", Map.of("activeSessions", broadcaster.getSessionCount())); + status.put("status", "UP"); + + return Response.ok(status).build(); + } + + /** Get cluster status and membership information */ + @GET + @Path("/cluster") + @Produces(MediaType.APPLICATION_JSON) + public Response getClusterStatus() { + Map clusterInfo = new HashMap<>(); - @Inject - private MarketDataPublisher publisher; + try { + if (hazelcastInstance == null) { + clusterInfo.put("clustered", false); + clusterInfo.put("message", "Running in standalone mode (Hazelcast not available)"); + return Response.ok(clusterInfo).build(); + } - @Inject - private MarketDataBroadcaster broadcaster; + clusterInfo.put("clustered", true); + clusterInfo.put("clusterSize", hazelcastInstance.getCluster().getMembers().size()); + clusterInfo.put("clusterTime", hazelcastInstance.getCluster().getClusterTime()); + clusterInfo.put( + "localMemberUuid", hazelcastInstance.getCluster().getLocalMember().getUuid().toString()); - @GET - @Produces(MediaType.APPLICATION_JSON) - public Response getStatus() { - Map status = new HashMap<>(); + clusterInfo.put( + "members", + hazelcastInstance.getCluster().getMembers().stream() + .map( + member -> + Map.of( + "address", member.getAddress().toString(), + "uuid", member.getUuid().toString(), + "localMember", member.localMember(), + "liteMember", member.isLiteMember())) + .collect(Collectors.toList())); - status.put("application", "TradeStreamEE"); - status.put("description", "High-frequency trading dashboard with Aeron and SBE"); - status.put("subscriber", subscriber.getStatus()); - status.put("publisher", Map.of( - "messagesPublished", publisher.getMessagesPublished() - )); - status.put("websocket", Map.of( - "activeSessions", broadcaster.getSessionCount() - )); - status.put("status", "UP"); + return Response.ok(clusterInfo).build(); - return Response.ok(status).build(); + } catch (Exception e) { + clusterInfo.put("clustered", false); + clusterInfo.put("error", e.getMessage()); + return Response.status(Response.Status.INTERNAL_SERVER_ERROR).entity(clusterInfo).build(); } + } } diff --git a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java index 0e2bdd7..c03953d 100644 --- a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java +++ b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java @@ -1,9 +1,13 @@ package fish.payara.trader.websocket; +import com.hazelcast.core.HazelcastInstance; +import com.hazelcast.topic.ITopic; +import com.hazelcast.topic.Message; +import com.hazelcast.topic.MessageListener; +import jakarta.annotation.PostConstruct; import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; import jakarta.websocket.Session; - -import java.io.IOException; import java.util.Set; import java.util.concurrent.ConcurrentHashMap; import java.util.logging.Level; @@ -12,117 +16,177 @@ /** * Broadcaster for market data WebSocket messages. * - * Maintains a set of active WebSocket sessions and broadcasts - * JSON messages to all connected clients. + *

Maintains a set of active WebSocket sessions and broadcasts JSON messages to all connected + * clients. + * + *

In clustered mode, uses Hazelcast distributed topics to broadcast messages across all cluster + * members, ensuring all WebSocket clients receive data regardless of which instance they connect + * to. * - * Note: JSON string creation intentionally generates garbage - * to stress-test Azul's Pauseless GC (C4). + *

Note: JSON string creation intentionally generates garbage to stress-test Azul's Pauseless GC + * (C4). */ @ApplicationScoped public class MarketDataBroadcaster { - private static final Logger LOGGER = Logger.getLogger(MarketDataBroadcaster.class.getName()); - - private final Set sessions = ConcurrentHashMap.newKeySet(); - - // Statistics - private long messagesSent = 0; - private long lastStatsTime = System.currentTimeMillis(); - - /** - * Register a new WebSocket session - */ - public void addSession(Session session) { - sessions.add(session); - LOGGER.info("WebSocket session added. Total sessions: " + sessions.size()); + private static final Logger LOGGER = Logger.getLogger(MarketDataBroadcaster.class.getName()); + private static final String TOPIC_NAME = "market-data-broadcast"; + + private final Set sessions = ConcurrentHashMap.newKeySet(); + + @Inject private HazelcastInstance hazelcastInstance; + + @Inject private fish.payara.trader.monitoring.SLAMonitorService slaMonitor; + + private ITopic clusterTopic; + + // Statistics + private long messagesSent = 0; + private long lastStatsTime = System.currentTimeMillis(); + + /** Initialize Hazelcast topic subscription for cluster-wide broadcasting */ + @PostConstruct + public void init() { + try { + if (hazelcastInstance != null) { + clusterTopic = hazelcastInstance.getTopic(TOPIC_NAME); + clusterTopic.addMessageListener( + new MessageListener() { + @Override + public void onMessage(Message message) { + // Broadcast to local WebSocket sessions only + broadcastLocal(message.getMessageObject()); + } + }); + LOGGER.info("Subscribed to Hazelcast topic: " + TOPIC_NAME + " (clustered mode)"); + } else { + LOGGER.info("Hazelcast not available - running in standalone mode"); + } + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Failed to initialize Hazelcast topic subscription", e); + // Continue without clustering } - - /** - * Unregister a WebSocket session - */ - public void removeSession(Session session) { - sessions.remove(session); - LOGGER.info("WebSocket session removed. Total sessions: " + sessions.size()); + } + + /** Register a new WebSocket session */ + public void addSession(Session session) { + sessions.add(session); + LOGGER.info("WebSocket session added. Total sessions: " + sessions.size()); + } + + /** Unregister a WebSocket session */ + public void removeSession(Session session) { + sessions.remove(session); + LOGGER.info("WebSocket session removed. Total sessions: " + sessions.size()); + } + + /** + * Broadcast JSON message to all connected clients across the cluster. + * + *

In clustered mode, publishes to Hazelcast topic which distributes to all cluster members. + * Each member then broadcasts to its local WebSocket sessions. + * + *

In standalone mode, broadcasts directly to local sessions. + * + *

This method intentionally creates string allocations to generate garbage and stress the + * garbage collector. + */ + public void broadcast(String jsonMessage) { + if (clusterTopic != null) { + // Publish to cluster-wide topic + try { + clusterTopic.publish(jsonMessage); + } catch (Exception e) { + LOGGER.log( + Level.SEVERE, + "Failed to publish to Hazelcast topic, falling back to local broadcast", + e); + broadcastLocal(jsonMessage); + } + } else { + // Standalone mode - broadcast locally only + broadcastLocal(jsonMessage); + } + } + + /** + * Broadcast message to local WebSocket sessions only. Called either in standalone mode or by + * Hazelcast topic listener. + */ + private void broadcastLocal(String jsonMessage) { + if (sessions.isEmpty()) { + return; } - /** - * Broadcast JSON message to all connected clients - * - * This method intentionally creates string allocations to - * generate garbage and stress the garbage collector. - */ - public void broadcast(String jsonMessage) { - if (sessions.isEmpty()) { - return; - } - - // Iterate through all sessions and send the message - sessions.removeIf(session -> { - if (!session.isOpen()) { - LOGGER.fine("Removing closed session: " + session.getId()); - return true; - } - - try { - // Send async to avoid blocking - session.getAsyncRemote().sendText(jsonMessage); - messagesSent++; - return false; - - } catch (Exception e) { - LOGGER.log(Level.WARNING, "Failed to send message to session: " + session.getId(), e); - return true; // Remove problematic session - } + long startTime = System.currentTimeMillis(); + + sessions.removeIf( + session -> { + if (!session.isOpen()) { + return true; + } + try { + session.getAsyncRemote().sendText(jsonMessage); + return false; + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to send message", e); + return true; + } }); - logStatistics(); + long latency = System.currentTimeMillis() - startTime; + if (slaMonitor != null) { + slaMonitor.recordOperation(latency); } - /** - * Broadcast to all clients with additional garbage generation for GC stress. - * - * This method wraps the original message in a larger JSON envelope with padding. - * This increases both memory allocation (String construction) and network bandwidth usage, - * simulating a heavier protocol or inefficient data packaging. - */ - public void broadcastWithArtificialLoad(String jsonMessage) { - // Generate 1KB of padding to increase payload size and allocation - String padding = "X".repeat(1024); - - // Wrap the original message in a new JSON structure - // We use StringBuilder to explicitly construct the new JSON string - String enrichedMessage = new StringBuilder(jsonMessage.length() + padding.length() + 100) + logStatistics(); + } + + /** + * Broadcast to all clients with additional garbage generation for GC stress. + * + *

This method wraps the original message in a larger JSON envelope with padding. This + * increases both memory allocation (String construction) and network bandwidth usage, simulating + * a heavier protocol or inefficient data packaging. + */ + public void broadcastWithArtificialLoad(String jsonMessage) { + // Generate 1KB of padding to increase payload size and allocation + String padding = "X".repeat(1024); + + // Wrap the original message in a new JSON structure + // We use StringBuilder to explicitly construct the new JSON string + String enrichedMessage = + new StringBuilder(jsonMessage.length() + padding.length() + 100) .append("{\"wrapped\":true,") - .append("\"timestamp\":").append(System.nanoTime()).append(",") - .append("\"padding\":\"").append(padding).append("\",") - .append("\"data\":").append(jsonMessage) + .append("\"timestamp\":") + .append(System.nanoTime()) + .append(",") + .append("\"padding\":\"") + .append(padding) + .append("\",") + .append("\"data\":") + .append(jsonMessage) .append("}") .toString(); - broadcast(enrichedMessage); - } - - /** - * Get count of active sessions - */ - public int getSessionCount() { - return sessions.size(); - } - - /** - * Log statistics periodically - */ - private void logStatistics() { - long now = System.currentTimeMillis(); - if (now - lastStatsTime > 10000) { // Log every 10 seconds - LOGGER.info(String.format( - "WebSocket Stats - Active sessions: %d, Messages sent: %,d (%.1f msg/sec)", - sessions.size(), - messagesSent, - messagesSent / ((now - lastStatsTime) / 1000.0) - )); - lastStatsTime = now; - messagesSent = 0; - } + broadcast(enrichedMessage); + } + + /** Get count of active sessions */ + public int getSessionCount() { + return sessions.size(); + } + + /** Log statistics periodically */ + private void logStatistics() { + long now = System.currentTimeMillis(); + if (now - lastStatsTime > 10000) { // Log every 10 seconds + LOGGER.info( + String.format( + "WebSocket Stats - Active sessions: %d, Messages sent: %,d (%.1f msg/sec)", + sessions.size(), messagesSent, messagesSent / ((now - lastStatsTime) / 1000.0))); + lastStatsTime = now; + messagesSent = 0; } + } } diff --git a/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java b/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java index e222e34..0ed3f73 100644 --- a/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java +++ b/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java @@ -3,71 +3,70 @@ import jakarta.inject.Inject; import jakarta.websocket.*; import jakarta.websocket.server.ServerEndpoint; -import org.eclipse.microprofile.config.inject.ConfigProperty; - import java.util.logging.Level; import java.util.logging.Logger; +import org.eclipse.microprofile.config.inject.ConfigProperty; /** * WebSocket endpoint for streaming market data to clients. * - * Clients connect to ws://host:port/context/market-data - * and receive real-time JSON market data updates. + *

Clients connect to ws://host:port/context/market-data and receive real-time JSON market data + * updates. */ @ServerEndpoint("/market-data") public class MarketDataWebSocket { - private static final Logger LOGGER = Logger.getLogger(MarketDataWebSocket.class.getName()); + private static final Logger LOGGER = Logger.getLogger(MarketDataWebSocket.class.getName()); - @Inject - private MarketDataBroadcaster broadcaster; + @Inject private MarketDataBroadcaster broadcaster; - @Inject - @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") - private String ingestionMode; + @Inject + @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") + private String ingestionMode; - @OnOpen - public void onOpen(Session session) { - LOGGER.info("WebSocket connection opened: " + session.getId()); - broadcaster.addSession(session); + @OnOpen + public void onOpen(Session session) { + LOGGER.info("WebSocket connection opened: " + session.getId()); + broadcaster.addSession(session); - // Send welcome message with current mode - try { - String welcomeJson = String.format( - "{\"type\":\"info\",\"message\":\"Connected to TradeStreamEE market data feed\",\"mode\":\"%s\"}", - ingestionMode - ); - session.getBasicRemote().sendText(welcomeJson); - } catch (Exception e) { - LOGGER.log(Level.WARNING, "Failed to send welcome message", e); - } + // Send welcome message with current mode + try { + String welcomeJson = + String.format( + "{\"type\":\"info\",\"message\":\"Connected to TradeStreamEE market data feed\",\"mode\":\"%s\"}", + ingestionMode); + session.getBasicRemote().sendText(welcomeJson); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to send welcome message", e); } + } - @OnClose - public void onClose(Session session, CloseReason closeReason) { - LOGGER.info("WebSocket connection closed: " + session.getId() + - ", reason: " + closeReason.getReasonPhrase()); - broadcaster.removeSession(session); - } + @OnClose + public void onClose(Session session, CloseReason closeReason) { + LOGGER.info( + "WebSocket connection closed: " + + session.getId() + + ", reason: " + + closeReason.getReasonPhrase()); + broadcaster.removeSession(session); + } - @OnError - public void onError(Session session, Throwable throwable) { - LOGGER.log(Level.WARNING, "WebSocket error for session: " + session.getId(), throwable); - broadcaster.removeSession(session); - } + @OnError + public void onError(Session session, Throwable throwable) { + LOGGER.log(Level.WARNING, "WebSocket error for session: " + session.getId(), throwable); + broadcaster.removeSession(session); + } - @OnMessage - public void onMessage(String message, Session session) { - // Handle client messages if needed (e.g., subscription requests) - LOGGER.fine("Received message from client: " + message); + @OnMessage + public void onMessage(String message, Session session) { + // Handle client messages if needed (e.g., subscription requests) + LOGGER.fine("Received message from client: " + message); - // Echo back for now - try { - session.getBasicRemote().sendText( - "{\"type\":\"ack\",\"message\":\"Message received\"}" - ); - } catch (Exception e) { - LOGGER.log(Level.WARNING, "Failed to send acknowledgment", e); - } + // Echo back for now + try { + session.getBasicRemote().sendText("{\"type\":\"ack\",\"message\":\"Message received\"}"); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to send acknowledgment", e); } + } } diff --git a/src/main/resources/hazelcast-config.xml b/src/main/resources/hazelcast-config.xml new file mode 100644 index 0000000..c586391 --- /dev/null +++ b/src/main/resources/hazelcast-config.xml @@ -0,0 +1,77 @@ + + + + + payara-trader-cluster + + + + 5701 + + + + + + + + + + trader-stream-1 + trader-stream-2 + trader-stream-3 + + + trader-stream-1:5701 + trader-stream-2:5701 + trader-stream-3:5701 + + + + + + + + + + + 10 + BLOCK + true + + + + + + + + + 5 + + + + + + + + jdk + + + 4 + 3 + + + NOISY + 30 + + + false + + + 300 + 120 + + + diff --git a/src/main/webapp/index.html b/src/main/webapp/index.html index 3d7d30d..a51b6b6 100644 --- a/src/main/webapp/index.html +++ b/src/main/webapp/index.html @@ -396,6 +396,136 @@ font-weight: 500; color: white; } + + /* GC Comparison Panel */ + .gc-comparison-panel { + background: white; + padding: 24px 32px; + border-radius: 8px; + box-shadow: 0 2px 4px rgba(0,0,0,0.1), 0 1px 2px rgba(0,0,0,0.06); + margin-bottom: 24px; + } + + .gc-comparison-header { + display: flex; + justify-content: space-between; + align-items: center; + margin-bottom: 20px; + border-bottom: 1px solid #e2e8f0; + padding-bottom: 16px; + } + + .gc-comparison-header h2 { + font-size: 1.5em; + color: #1e293b; + font-weight: 700; + } + + .jvm-info { + display: flex; + align-items: center; + gap: 12px; + font-size: 0.95em; + } + + .badge { + padding: 4px 12px; + border-radius: 12px; + font-weight: 600; + font-size: 0.85em; + } + .badge.azul { background: #dbeafe; color: #1e40af; } + .badge.standard { background: #dbeafe; color: #1e40af; } + + .metrics-grid { + display: grid; + grid-template-columns: repeat(4, 1fr); + gap: 24px; + } + + .metric-card { + background: #f8fafc; + padding: 20px; + border-radius: 8px; + border: 1px solid #e2e8f0; + text-align: center; + } + + .metric-card h3 { + font-size: 0.85em; + text-transform: uppercase; + letter-spacing: 0.05em; + color: #64748b; + margin-bottom: 8px; + } + + .metric-value { + font-size: 2em; + font-weight: 800; + color: #0f172a; + display: block; + } + + .metric-unit { + font-size: 0.8em; + color: #94a3b8; + } + + .status-indicator.excellent { color: #10b981; } + .status-indicator.good { color: #3b82f6; } + .status-indicator.warning { color: #f59e0b; } + .status-indicator.critical { color: #ef4444; font-weight: bold; } + + /* Stress Scenario Buttons */ + .stress-scenarios { + margin-bottom: 16px; + background: white; + padding: 16px 32px; + border-radius: 8px; + display: flex; + align-items: center; + gap: 24px; + box-shadow: 0 2px 4px rgba(0,0,0,0.1); + } + + .scenario-buttons { + display: flex; + gap: 12px; + flex-wrap: wrap; + } + + .scenario-btn { + background: white; + color: #475569; + border: 1px solid #cbd5e1; + padding: 8px 16px; + font-size: 0.9em; + display: flex; + flex-direction: column; + align-items: center; + gap: 2px; + min-width: 120px; + } + + .scenario-btn:hover { + background: #f1f5f9; + border-color: #94a3b8; + transform: translateY(-1px); + } + + .scenario-btn.active { + background: #eff6ff; + border-color: #3b82f6; + color: #1d4ed8; + box-shadow: 0 0 0 2px rgba(59, 130, 246, 0.2); + } + + .scenario-btn .hint { + font-size: 0.7em; + font-weight: 400; + opacity: 0.8; + text-transform: none; + } @@ -411,11 +541,16 @@

TradeStreamEE

Disconnected +
-
0
Backend Msg/sec
-
0
Total Generated
+
0
Local Msg/sec
+
0
Local Total
+
+
+
0
Cluster Total
+
0
Cluster Msg/sec
0
UI Msg/sec
@@ -425,6 +560,76 @@

TradeStreamEE

+ +
+

Demo Scenarios

+
+ + + + + + + +
+
+ + +
+
+

GC Performance Comparison

+
+ Instance: + Unknown + JVM: + Detecting... + -- +
+
+ +
+
+

Pause Time P99

+ - + ms +
+
+
+ +
+

Pause Time Max

+ - + ms +
All-time since startup
+
+ +
+

SLA Violations

+ - + pauses > 10ms +
Total since startup
+
+ +
+

Allocation Rate

+ - + MB/sec +
+
+
+
@@ -886,20 +1091,33 @@

System Log

} function pollGCPauseStats() { - fetch('/api/gc/stats') + fetch('/trader-stream-ee/api/gc/stats') .then(response => response.json()) .then(stats => { if (stats && stats.length > 0) { - const gcStat = stats[0]; + // Find the maximum pause duration across all collectors in this poll + let maxPauseMs = 0; + let activeCollectors = []; + + stats.forEach(gcStat => { + const pause = gcStat.lastPauseDuration || 0; + if (pause > maxPauseMs) { + maxPauseMs = pause; + } + // Only list collectors that have actually performed a collection + if (gcStat.collectionCount > 0) { + activeCollectors.push(gcStat.gcName); + } + }); - // Update collector name - document.getElementById('gcPauseCollectorName').textContent = gcStat.gcName || '--'; + // Update collector names display (unique and simplified) + const collectorNames = [...new Set(activeCollectors)].join(' / '); + document.getElementById('gcPauseCollectorName').textContent = collectorNames || '--'; - // Update chart with last pause duration + // Update chart with the maximum pause duration detected if (gcPauseChart) { - const pauseMs = gcStat.lastPauseDuration || 0; gcPauseChart.data.labels.push(''); - gcPauseChart.data.datasets[0].data.push(pauseMs); + gcPauseChart.data.datasets[0].data.push(maxPauseMs); if (gcPauseChart.data.labels.length > 50) { gcPauseChart.data.labels.shift(); @@ -924,7 +1142,7 @@

System Log

} }); - fetch('/api/pressure/mode/' + mode, { method: 'POST' }) + fetch('/trader-stream-ee/api/pressure/mode/' + mode, { method: 'POST' }) .then(response => response.json()) .then(result => { if (clickedButton) { @@ -947,7 +1165,7 @@

System Log

} function pollPressureStatus() { - fetch('/api/pressure/status') + fetch('/trader-stream-ee/api/pressure/status') .then(response => response.json()) .then(status => { document.getElementById('pressureMode').textContent = status.currentMode || 'OFF'; @@ -957,6 +1175,136 @@

System Log

.catch(error => console.error('Error fetching pressure status:', error)); } + let lastClusterTotal = 0; + let lastClusterTime = Date.now(); + + function pollInstanceStatus() { + fetch(window.location.pathname + 'api/status') + .then(response => response.json()) + .then(status => { + // Update instance name + if (status.instance) { + document.getElementById('instanceDisplay').textContent = '[' + status.instance + ']'; + } + + // Update cluster total and calculate rate + if (status.publisher && status.publisher.clusterMessagesPublished !== undefined) { + const clusterTotal = status.publisher.clusterMessagesPublished; + document.getElementById('clusterTotal').textContent = clusterTotal.toLocaleString(); + + // Calculate cluster message rate + const now = Date.now(); + const timeDiff = (now - lastClusterTime) / 1000; // seconds + const messageDiff = clusterTotal - lastClusterTotal; + if (timeDiff > 0 && lastClusterTotal > 0) { + const clusterRate = Math.round(messageDiff / timeDiff); + document.getElementById('clusterRate').textContent = clusterRate.toLocaleString(); + } + lastClusterTotal = clusterTotal; + lastClusterTime = now; + } + }) + .catch(error => console.error('Error fetching instance status:', error)); + } + + async function applyScenario(scenario) { + // Reset all buttons + document.querySelectorAll('.scenario-btn').forEach(btn => btn.classList.remove('active')); + + // Set active state on clicked button + const btn = document.getElementById('btn-' + scenario); + if (btn) btn.classList.add('active'); + + try { + const response = await fetch('/trader-stream-ee/api/pressure/scenario/' + scenario, { + method: 'POST' + }); + const result = await response.json(); + console.log('Applied scenario:', result); + + // Also update the pressure mode display + pollPressureStatus(); + + addLog('Scenario applied: ' + result.description); + } catch (error) { + console.error('Error applying scenario:', error); + addLog('Failed to apply scenario: ' + error.message); + } + } + + async function pollGCComparison() { + try { + const response = await fetch('/trader-stream-ee/api/gc/comparison'); + const data = await response.json(); + + // Update instance identification + const instanceName = data.instanceName || 'unknown'; + document.getElementById('instance-name').textContent = instanceName; + + // Color-code instance name by cluster + const instanceEl = document.getElementById('instance-name'); + if (instanceName.includes('c4')) { + instanceEl.style.color = '#10b981'; // green for C4 + } else if (instanceName.includes('g1')) { + instanceEl.style.color = '#10b981'; // same as c4 + } else { + instanceEl.style.color = '#2563eb'; // blue for unknown + } + + // Update JVM info + document.getElementById('jvm-name').textContent = data.jvmName || 'Unknown'; + const gcTypeEl = document.getElementById('gc-type'); + if (data.isAzulC4) { + gcTypeEl.textContent = 'Azul C4'; + gcTypeEl.className = 'badge azul'; + } else { + gcTypeEl.textContent = 'Standard G1'; // Assuming G1 if not Azul for now, or use data.gcCollectors + gcTypeEl.className = 'badge standard'; + } + + // Update metrics + document.getElementById('pause-p99').textContent = (data.pauseP99Ms || 0).toFixed(2); + document.getElementById('pause-max').textContent = (data.pauseMaxMs || 0).toFixed(2); + document.getElementById('sla-violations').textContent = (data.slaViolations10ms || 0).toLocaleString(); + + // Show sample size for transparency + const sampleSize = data.pauseSampleSize || 0; + const totalPauses = data.totalPauseCount || 0; + document.getElementById('pause-sample-size').textContent = + `${sampleSize.toLocaleString()} samples (${totalPauses.toLocaleString()} total pauses)`; + + // Allocation rate calculation (if available, or estimate) + // data.messageRate is available + // data.allocationMode can give us a hint + if (data.allocationMode) { + // We might need to fetch status to get bytesPerSecond, or use what we have + // For now let's leave it or fetch separate status if needed. + // Actually pollPressureStatus does this. + } + + // Color-code P99 status + const p99Status = document.getElementById('pause-p99-status'); + const p99 = data.pauseP99Ms || 0; + + if (p99 < 1) { + p99Status.className = 'status-indicator excellent'; + p99Status.textContent = '✓ Excellent'; + } else if (p99 < 10) { + p99Status.className = 'status-indicator good'; + p99Status.textContent = '✓ Good'; + } else if (p99 < 50) { + p99Status.className = 'status-indicator warning'; + p99Status.textContent = '⚠ Degraded'; + } else { + p99Status.className = 'status-indicator critical'; + p99Status.textContent = '✗ Critical'; + } + + } catch (error) { + console.error('Failed to fetch GC comparison metrics:', error); + } + } + function flipCard(card) { card.classList.toggle('flipped'); } @@ -992,11 +1340,21 @@

System Log

if (window.gcPauseStatsInterval) clearInterval(window.gcPauseStatsInterval); window.gcPauseStatsInterval = setInterval(pollGCPauseStats, 3000); pollGCPauseStats(); // Initial poll + + // Start GC Comparison polling (every 2 seconds) + if (window.gcComparisonInterval) clearInterval(window.gcComparisonInterval); + window.gcComparisonInterval = setInterval(pollGCComparison, 2000); + pollGCComparison(); // Start memory pressure status polling (every 3 seconds) if (window.pressureStatusInterval) clearInterval(window.pressureStatusInterval); window.pressureStatusInterval = setInterval(pollPressureStatus, 3000); pollPressureStatus(); // Initial poll + + // Start instance status polling (every 2 seconds for cluster stats) + if (window.instanceStatusInterval) clearInterval(window.instanceStatusInterval); + window.instanceStatusInterval = setInterval(pollInstanceStatus, 2000); + pollInstanceStatus(); // Initial poll }; ws.onclose=( )=>{ document.getElementById('statusIndicator').classList.remove('connected'); @@ -1007,6 +1365,7 @@

System Log

addLog('WebSocket disconnected. Attempting auto-reconnect in 3s...'); if (window.chartInterval) clearInterval(window.chartInterval); if (window.gcStatsInterval) clearInterval(window.gcStatsInterval); + if (window.gcComparisonInterval) clearInterval(window.gcComparisonInterval); setTimeout(connect, 3000); }; ws.onerror=error=>addLog('WebSocket error: '+error); @@ -1083,6 +1442,7 @@

System Log

window.addEventListener('load', () => { initCharts(); + pollInstanceStatus(); // Get instance info immediately setTimeout(connect, 1000); }); diff --git a/src/test/java/fish/payara/trader/BasicFunctionalityTest.java b/src/test/java/fish/payara/trader/BasicFunctionalityTest.java new file mode 100644 index 0000000..f15c20e --- /dev/null +++ b/src/test/java/fish/payara/trader/BasicFunctionalityTest.java @@ -0,0 +1,86 @@ +package fish.payara.trader; + +import static org.junit.jupiter.api.Assertions.*; + +import fish.payara.trader.pressure.AllocationMode; +import fish.payara.trader.pressure.MemoryPressureService; +import fish.payara.trader.utils.GCTestUtil; +import org.junit.jupiter.api.DisplayName; +import org.junit.jupiter.api.Test; + +/** Basic functionality tests to ensure the test infrastructure works */ +@DisplayName("Basic Functionality Tests") +class BasicFunctionalityTest { + + @Test + @DisplayName("Should verify allocation modes work correctly") + void shouldVerifyAllocationModesWorkCorrectly() { + // Test AllocationMode enum + assertEquals(AllocationMode.OFF, AllocationMode.valueOf("OFF")); + assertEquals(AllocationMode.LOW, AllocationMode.valueOf("LOW")); + assertEquals(AllocationMode.MEDIUM, AllocationMode.valueOf("MEDIUM")); + assertEquals(AllocationMode.HIGH, AllocationMode.valueOf("HIGH")); + assertEquals(AllocationMode.EXTREME, AllocationMode.valueOf("EXTREME")); + + // Test allocation rates + assertEquals(0L, AllocationMode.OFF.getBytesPerSecond()); + assertTrue(AllocationMode.LOW.getBytesPerSecond() > 0); + assertTrue(AllocationMode.EXTREME.getBytesPerSecond() > AllocationMode.LOW.getBytesPerSecond()); + } + + @Test + @DisplayName("Should initialize memory pressure service without CDI") + void shouldInitializeMemoryPressureServiceWithoutCDI() { + MemoryPressureService service = new MemoryPressureService(); + service.init(); + + // Can't test mode changes without CDI injection, but can verify initialization + assertNotNull(service); + assertEquals(AllocationMode.OFF, service.getCurrentMode()); // Default should be OFF + } + + @Test + @DisplayName("Should capture and calculate GC statistics") + void shouldCaptureAndCalculateGCStatistics() { + // Test GC utility functionality + GCTestUtil.GCStatistics beforeStats = GCTestUtil.captureInitialStats(); + assertNotNull(beforeStats); + assertTrue(beforeStats.collections >= 0); + assertTrue(beforeStats.time >= 0); + + // Create some memory pressure + GCTestUtil.allocateMemory(10); // 10MB + + GCTestUtil.GCStatistics afterStats = GCTestUtil.calculateDelta(beforeStats); + assertNotNull(afterStats); + assertTrue(afterStats.collections >= 0); + assertTrue(afterStats.time >= 0); + } + + @Test + @DisplayName("Should measure operation time correctly") + void shouldMeasureOperationTimeCorrectly() { + long startTime = System.nanoTime(); + + // Simulate some work + try { + Thread.sleep(10); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + } + + long pauseTime = + GCTestUtil.measurePauseTime( + () -> { + // Simulate GC pause + try { + Thread.sleep(5); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + } + }); + + assertTrue(pauseTime >= 0, "Pause time should be non-negative"); + // Note: This might not measure actual GC pause time in all cases, but tests the utility + } +} diff --git a/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java b/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java index 1d33ce9..90aa3a3 100644 --- a/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java +++ b/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java @@ -1,8 +1,12 @@ package fish.payara.trader.aeron; +import static org.assertj.core.api.Assertions.assertThat; +import static org.mockito.Mockito.*; + +import fish.payara.trader.sbe.*; import fish.payara.trader.websocket.MarketDataBroadcaster; import io.aeron.logbuffer.Header; -import org.agrona.DirectBuffer; +import java.nio.ByteBuffer; import org.agrona.concurrent.UnsafeBuffer; import org.junit.jupiter.api.BeforeEach; import org.junit.jupiter.api.Test; @@ -11,176 +15,167 @@ import org.mockito.Mock; import org.mockito.junit.jupiter.MockitoExtension; -import fish.payara.trader.sbe.*; +@ExtendWith(MockitoExtension.class) +class MarketDataFragmentHandlerTest { -import java.nio.ByteBuffer; + private MarketDataFragmentHandler handler; -import static org.assertj.core.api.Assertions.assertThat; -import static org.mockito.Mockito.*; + @Mock private MarketDataBroadcaster broadcaster; -@ExtendWith(MockitoExtension.class) -class MarketDataFragmentHandlerTest { + @Mock private Header header; - private MarketDataFragmentHandler handler; + @BeforeEach + void setUp() { + handler = new MarketDataFragmentHandler(); + handler.broadcaster = broadcaster; + } - @Mock - private MarketDataBroadcaster broadcaster; + @Test + void testProcessTradeMessage() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - @Mock - private Header header; + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + TradeEncoder tradeEncoder = new TradeEncoder(); - @BeforeEach - void setUp() { - handler = new MarketDataFragmentHandler(); - handler.broadcaster = broadcaster; - } + // Send 50 messages to ensure sampling triggers + for (int i = 0; i < 50; i++) { + tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + tradeEncoder.timestamp(System.currentTimeMillis()); + tradeEncoder.symbol("AAPL"); + tradeEncoder.price(15000); + tradeEncoder.quantity(100); - @Test - void testProcessTradeMessage() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - TradeEncoder tradeEncoder = new TradeEncoder(); - - // Send 50 messages to ensure sampling triggers - for (int i = 0; i < 50; i++) { - tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); - tradeEncoder.timestamp(System.currentTimeMillis()); - tradeEncoder.symbol("AAPL"); - tradeEncoder.price(15000); - tradeEncoder.quantity(100); - - int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); - handler.onFragment(buffer, 0, encodedLength, header); - } - - ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); - verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); - - String broadcastedMessage = messageCaptor.getValue(); - assertThat(broadcastedMessage).contains("\"type\":\"trade\""); - assertThat(broadcastedMessage).contains("\"symbol\":\"AAPL\""); - assertThat(broadcastedMessage).contains("\"price\":1.5"); - assertThat(broadcastedMessage).contains("\"quantity\":100"); + int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); } - @Test - void testProcessQuoteMessage() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - QuoteEncoder quoteEncoder = new QuoteEncoder(); - - // Send 50 messages to ensure sampling triggers - for (int i = 0; i < 50; i++) { - quoteEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); - quoteEncoder.timestamp(System.currentTimeMillis()); - quoteEncoder.symbol("MSFT"); - quoteEncoder.bidPrice(30000); - quoteEncoder.askPrice(30100); - quoteEncoder.bidSize(200); - quoteEncoder.askSize(150); - - int encodedLength = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); - handler.onFragment(buffer, 0, encodedLength, header); - } - - ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); - verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); - - String broadcastedMessage = messageCaptor.getValue(); - assertThat(broadcastedMessage).contains("\"type\":\"quote\""); - assertThat(broadcastedMessage).contains("\"symbol\":\"MSFT\""); - assertThat(broadcastedMessage).contains("\"bid\":{\"price\":3.0"); - assertThat(broadcastedMessage).contains("\"ask\":{\"price\":3.01"); + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); + + String broadcastedMessage = messageCaptor.getValue(); + assertThat(broadcastedMessage).contains("\"type\":\"trade\""); + assertThat(broadcastedMessage).contains("\"symbol\":\"AAPL\""); + assertThat(broadcastedMessage).contains("\"price\":1.5"); + assertThat(broadcastedMessage).contains("\"quantity\":100"); + } + + @Test + void testProcessQuoteMessage() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + QuoteEncoder quoteEncoder = new QuoteEncoder(); + + // Send 50 messages to ensure sampling triggers + for (int i = 0; i < 50; i++) { + quoteEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + quoteEncoder.timestamp(System.currentTimeMillis()); + quoteEncoder.symbol("MSFT"); + quoteEncoder.bidPrice(30000); + quoteEncoder.askPrice(30100); + quoteEncoder.bidSize(200); + quoteEncoder.askSize(150); + + int encodedLength = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); } - @Test - void testProcessHeartbeatMessage() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - HeartbeatEncoder heartbeatEncoder = new HeartbeatEncoder(); + String broadcastedMessage = messageCaptor.getValue(); + assertThat(broadcastedMessage).contains("\"type\":\"quote\""); + assertThat(broadcastedMessage).contains("\"symbol\":\"MSFT\""); + assertThat(broadcastedMessage).contains("\"bid\":{\"price\":3.0"); + assertThat(broadcastedMessage).contains("\"ask\":{\"price\":3.01"); + } - heartbeatEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); - heartbeatEncoder.timestamp(System.currentTimeMillis()); + @Test + void testProcessHeartbeatMessage() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - int encodedLength = headerEncoder.encodedLength() + heartbeatEncoder.encodedLength(); + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + HeartbeatEncoder heartbeatEncoder = new HeartbeatEncoder(); - handler.onFragment(buffer, 0, encodedLength, header); + heartbeatEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + heartbeatEncoder.timestamp(System.currentTimeMillis()); - verify(broadcaster, never()).broadcast(any()); - } + int encodedLength = headerEncoder.encodedLength() + heartbeatEncoder.encodedLength(); - @Test - void testMessageSampling() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + handler.onFragment(buffer, 0, encodedLength, header); - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - TradeEncoder tradeEncoder = new TradeEncoder(); + verify(broadcaster, never()).broadcast(any()); + } - for (int i = 0; i < 100; i++) { - tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); - tradeEncoder.timestamp(System.currentTimeMillis()); - tradeEncoder.symbol("TEST"); - tradeEncoder.price(10000 + i); - tradeEncoder.quantity(100); + @Test + void testMessageSampling() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); - handler.onFragment(buffer, 0, encodedLength, header); - } + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + TradeEncoder tradeEncoder = new TradeEncoder(); - ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); - verify(broadcaster, times(2)).broadcast(messageCaptor.capture()); - } + for (int i = 0; i < 100; i++) { + tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + tradeEncoder.timestamp(System.currentTimeMillis()); + tradeEncoder.symbol("TEST"); + tradeEncoder.price(10000 + i); + tradeEncoder.quantity(100); - @Test - void testInvalidTemplateId() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); + } - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - headerEncoder.wrap(buffer, 0); - headerEncoder.blockLength(0); - headerEncoder.templateId(9999); - headerEncoder.schemaId(1); - headerEncoder.version(0); + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, times(2)).broadcast(messageCaptor.capture()); + } - int encodedLength = headerEncoder.encodedLength(); + @Test + void testInvalidTemplateId() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - handler.onFragment(buffer, 0, encodedLength, header); + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + headerEncoder.wrap(buffer, 0); + headerEncoder.blockLength(0); + headerEncoder.templateId(9999); + headerEncoder.schemaId(1); + headerEncoder.version(0); - verify(broadcaster, never()).broadcast(any()); - } + int encodedLength = headerEncoder.encodedLength(); - @Test - void testPriceConversion() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + handler.onFragment(buffer, 0, encodedLength, header); - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - TradeEncoder tradeEncoder = new TradeEncoder(); + verify(broadcaster, never()).broadcast(any()); + } - // Send 50 messages to ensure sampling triggers - for (int i = 0; i < 50; i++) { - tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); - tradeEncoder.timestamp(System.currentTimeMillis()); - tradeEncoder.symbol("XYZ"); - tradeEncoder.price(123456); - tradeEncoder.quantity(1); + @Test + void testPriceConversion() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); - handler.onFragment(buffer, 0, encodedLength, header); - } + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + TradeEncoder tradeEncoder = new TradeEncoder(); - ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); - verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); + // Send 50 messages to ensure sampling triggers + for (int i = 0; i < 50; i++) { + tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + tradeEncoder.timestamp(System.currentTimeMillis()); + tradeEncoder.symbol("XYZ"); + tradeEncoder.price(123456); + tradeEncoder.quantity(1); - String broadcastedMessage = messageCaptor.getValue(); - assertThat(broadcastedMessage).contains("\"price\":12.3456"); + int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); } + + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); + + String broadcastedMessage = messageCaptor.getValue(); + assertThat(broadcastedMessage).contains("\"price\":12.3456"); + } } diff --git a/src/test/java/fish/payara/trader/concurrency/ConcurrencyConfigTest.java b/src/test/java/fish/payara/trader/concurrency/ConcurrencyConfigTest.java new file mode 100644 index 0000000..4fa300b --- /dev/null +++ b/src/test/java/fish/payara/trader/concurrency/ConcurrencyConfigTest.java @@ -0,0 +1,312 @@ +package fish.payara.trader.concurrency; + +import static org.junit.jupiter.api.Assertions.*; + +import jakarta.enterprise.concurrent.ManagedExecutorDefinition; +import jakarta.enterprise.context.ApplicationScoped; +import org.junit.jupiter.api.DisplayName; +import org.junit.jupiter.api.Test; + +/** Unit tests for ConcurrencyConfig class */ +@DisplayName("ConcurrencyConfig Tests") +class ConcurrencyConfigTest { + + @Test + @DisplayName("Should have ApplicationScoped annotation") + void shouldHaveApplicationScopedAnnotation() { + // Act + ApplicationScoped annotation = ConcurrencyConfig.class.getAnnotation(ApplicationScoped.class); + + // Assert + assertNotNull(annotation, "ApplicationScoped annotation should be present"); + } + + @Test + @DisplayName("Should have ManagedExecutorDefinition annotation") + void shouldHaveManagedExecutorDefinitionAnnotation() { + // Act + ManagedExecutorDefinition annotation = + ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + + // Assert + assertNotNull(annotation, "ManagedExecutorDefinition annotation should be present"); + } + + @Test + @DisplayName("Should have correct executor definition properties") + void shouldHaveCorrectExecutorDefinitionProperties() { + // Act + ManagedExecutorDefinition annotation = + ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + + // Assert + assertNotNull(annotation, "Annotation should be present"); + + // Check executor name + assertEquals( + "java:module/concurrent/VirtualThreadExecutor", + annotation.name(), + "Executor name should match expected value"); + + // Check virtual threads enabled + assertTrue(annotation.virtual(), "Virtual threads should be enabled"); + + // Check qualifiers + assertEquals(1, annotation.qualifiers().length, "Should have exactly one qualifier"); + assertEquals( + VirtualThreadExecutor.class, + annotation.qualifiers()[0], + "Should use VirtualThreadExecutor qualifier"); + } + + @Test + @DisplayName("Should be a concrete class") + void shouldBeAConcreteClass() { + // Assert + assertFalse( + ConcurrencyConfig.class.isInterface(), "ConcurrencyConfig should be a concrete class"); + assertFalse( + java.lang.reflect.Modifier.isAbstract(ConcurrencyConfig.class.getModifiers()), + "ConcurrencyConfig should not be abstract"); + assertTrue( + ConcurrencyConfig.class.isSynthetic() == false, + "ConcurrencyConfig should not be synthetic"); + } + + @Test + @DisplayName("Should be in correct package") + void shouldBeInCorrectPackage() { + // Assert + assertEquals( + "fish.payara.trader.concurrency", + ConcurrencyConfig.class.getPackage().getName(), + "Should be in fish.payara.trader.concurrency package"); + } + + @Test + @DisplayName("Should have correct simple name") + void shouldHaveCorrectSimpleName() { + // Assert + assertEquals( + "ConcurrencyConfig", + ConcurrencyConfig.class.getSimpleName(), + "Should have correct simple name"); + } + + @Test + @DisplayName("Should have public default constructor") + void shouldHavePublicDefaultConstructor() { + // Act + java.lang.reflect.Constructor[] constructors = ConcurrencyConfig.class.getConstructors(); + + // Assert + assertTrue(constructors.length > 0, "Should have at least one constructor"); + + // Should have a public no-args constructor + boolean hasPublicNoArgsConstructor = false; + for (java.lang.reflect.Constructor constructor : constructors) { + if (constructor.getParameterCount() == 0 + && java.lang.reflect.Modifier.isPublic(constructor.getModifiers())) { + hasPublicNoArgsConstructor = true; + break; + } + } + + assertTrue(hasPublicNoArgsConstructor, "Should have a public no-args constructor"); + } + + @Test + @DisplayName("Should create instances successfully") + void shouldCreateInstancesSuccessfully() { + // Act & Assert + assertDoesNotThrow( + () -> { + ConcurrencyConfig config = new ConcurrencyConfig(); + assertNotNull(config, "Should create instance without throwing exception"); + }, + "Should be able to create instance"); + } + + @Test + @DisplayName("Should not implement any interfaces") + void shouldNotImplementAnyInterfaces() { + // Act + Class[] interfaces = ConcurrencyConfig.class.getInterfaces(); + + // Assert + assertEquals(0, interfaces.length, "Should not implement any interfaces"); + } + + @Test + @DisplayName("Should have correct inheritance hierarchy") + void shouldHaveCorrectInheritanceHierarchy() { + // Act + Class superClass = ConcurrencyConfig.class.getSuperclass(); + + // Assert + assertEquals(Object.class, superClass, "Should extend Object class directly"); + } + + @Test + @DisplayName("Should be annotated with proper lifecycle scope") + void shouldBeAnnotatedWithProperLifecycleScope() { + // Act + ApplicationScoped applicationScoped = + ConcurrencyConfig.class.getAnnotation(ApplicationScoped.class); + + // Assert + assertNotNull(applicationScoped, "Should have ApplicationScoped annotation"); + assertEquals( + "jakarta.enterprise.context.ApplicationScoped", + applicationScoped.annotationType().getName(), + "Should use Jakarta EE ApplicationScoped"); + } + + @Test + @DisplayName("Should configure virtual threads for executor") + void shouldConfigureVirtualThreadsForExecutor() { + // Act + ManagedExecutorDefinition annotation = + ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + + // Assert + assertNotNull(annotation, "Should have ManagedExecutorDefinition"); + assertTrue(annotation.virtual(), "Should enable virtual threads"); + assertEquals( + "java:module/concurrent/VirtualThreadExecutor", + annotation.name(), + "Should use specific jndi name for virtual thread executor"); + } + + @Test + @DisplayName("Should have VirtualThreadExecutor qualifier") + void shouldHaveVirtualThreadExecutorQualifier() { + // Act + ManagedExecutorDefinition annotation = + ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + + // Assert + assertNotNull(annotation.qualifiers(), "Qualifiers array should not be null"); + assertEquals(1, annotation.qualifiers().length, "Should have exactly one qualifier"); + assertEquals( + VirtualThreadExecutor.class, + annotation.qualifiers()[0], + "Should use VirtualThreadExecutor as qualifier"); + } + + @Test + @DisplayName("Should have correct JNDI name pattern") + void shouldHaveCorrectJNDINamePattern() { + // Act + ManagedExecutorDefinition annotation = + ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + String jndiName = annotation.name(); + + // Assert + assertNotNull(jndiName, "JNDI name should not be null"); + assertEquals( + "java:module/concurrent/VirtualThreadExecutor", + jndiName, + "JNDI name should follow expected pattern"); + assertTrue( + jndiName.startsWith("java:module/concurrent/"), + "JNDI name should start with expected prefix"); + assertTrue( + jndiName.endsWith("VirtualThreadExecutor"), "JNDI name should end with expected suffix"); + assertFalse(jndiName.trim().isEmpty(), "JNDI name should not be empty"); + } + + @Test + @DisplayName("Should have no declared fields") + void shouldHaveNoDeclaredFields() { + // Act + java.lang.reflect.Field[] fields = ConcurrencyConfig.class.getDeclaredFields(); + + // Assert + assertEquals(0, fields.length, "Should have no declared fields"); + } + + @Test + @DisplayName("Should have no declared methods") + void shouldHaveNoDeclaredMethods() { + // Act + java.lang.reflect.Method[] methods = ConcurrencyConfig.class.getDeclaredMethods(); + + // Assert + // Java compiler may add synthetic methods, so we check for user-declared methods + long userMethods = + java.util.Arrays.stream(methods).filter(method -> !method.isSynthetic()).count(); + assertEquals(0, userMethods, "Should have no user-declared methods"); + } + + @Test + @DisplayName("Should have exactly two annotations") + void shouldHaveExactlyTwoAnnotations() { + // Act + java.lang.annotation.Annotation[] annotations = ConcurrencyConfig.class.getAnnotations(); + + // Assert + assertEquals(2, annotations.length, "Should have exactly two annotations"); + + // Verify annotation types + boolean hasApplicationScoped = false; + boolean hasManagedExecutorDefinition = false; + + for (java.lang.annotation.Annotation annotation : annotations) { + if (annotation instanceof ApplicationScoped) { + hasApplicationScoped = true; + } else if (annotation instanceof ManagedExecutorDefinition) { + hasManagedExecutorDefinition = true; + } + } + + assertTrue(hasApplicationScoped, "Should have ApplicationScoped annotation"); + assertTrue(hasManagedExecutorDefinition, "Should have ManagedExecutorDefinition annotation"); + } + + @Test + @DisplayName("Should be suitable for CDI bean registration") + void shouldBeSuitableForCDIBeanRegistration() { + // Act & Assert - This test verifies that the class has the right properties + // for CDI bean registration + + // Should have ApplicationScoped annotation + ApplicationScoped applicationScoped = + ConcurrencyConfig.class.getAnnotation(ApplicationScoped.class); + assertNotNull(applicationScoped, "Should have ApplicationScoped for CDI"); + + // Should have ManagedExecutorDefinition for executor configuration + ManagedExecutorDefinition managedExecutorDefinition = + ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + assertNotNull(managedExecutorDefinition, "Should have ManagedExecutorDefinition for CDI"); + + // Should be a concrete class with public constructor + assertDoesNotThrow( + () -> { + new ConcurrencyConfig(); + }, + "Should be instantiable by CDI"); + } + + @Test + @DisplayName("Should be properly configured for virtual threads") + void shouldBeProperlyConfiguredForVirtualThreads() { + // Act + ManagedExecutorDefinition definition = + ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + + // Assert + assertTrue(definition.virtual(), "Should enable virtual threads"); + assertEquals( + "java:module/concurrent/VirtualThreadExecutor", + definition.name(), + "Should have correct JNDI name for virtual threads"); + + // Verify it uses VirtualThreadExecutor qualifier + assertEquals(1, definition.qualifiers().length); + assertEquals( + VirtualThreadExecutor.class, + definition.qualifiers()[0], + "Should use VirtualThreadExecutor qualifier"); + } +} diff --git a/src/test/java/fish/payara/trader/concurrency/VirtualThreadExecutorTest.java b/src/test/java/fish/payara/trader/concurrency/VirtualThreadExecutorTest.java new file mode 100644 index 0000000..0e4ce7f --- /dev/null +++ b/src/test/java/fish/payara/trader/concurrency/VirtualThreadExecutorTest.java @@ -0,0 +1,207 @@ +package fish.payara.trader.concurrency; + +import static org.junit.jupiter.api.Assertions.*; + +import jakarta.inject.Qualifier; +import java.lang.annotation.ElementType; +import java.lang.annotation.Retention; +import java.lang.annotation.RetentionPolicy; +import java.lang.annotation.Target; +import org.junit.jupiter.api.DisplayName; +import org.junit.jupiter.api.Test; + +/** Unit tests for VirtualThreadExecutor annotation */ +@DisplayName("VirtualThreadExecutor Tests") +class VirtualThreadExecutorTest { + + @Test + @DisplayName("Should have correct annotation properties") + void shouldHaveCorrectAnnotationProperties() { + // Act - an annotation cannot annotate itself, so we test its properties instead + Class annotationType = VirtualThreadExecutor.class; + + // Assert + assertTrue(annotationType.isAnnotation(), "VirtualThreadExecutor should be an annotation type"); + assertNotNull(annotationType, "VirtualThreadExecutor class should be present"); + } + + @Test + @DisplayName("Should have Qualifier annotation") + void shouldHaveQualifierAnnotation() { + // Act + Qualifier qualifier = VirtualThreadExecutor.class.getAnnotation(Qualifier.class); + + // Assert + assertNotNull(qualifier, "VirtualThreadExecutor should have Qualifier annotation"); + } + + @Test + @DisplayName("Should have correct target types") + void shouldHaveCorrectTargetTypes() { + // Act + Target target = VirtualThreadExecutor.class.getAnnotation(Target.class); + + // Assert + assertNotNull(target, "Target annotation should be present"); + ElementType[] elementTypes = target.value(); + + assertTrue(containsTarget(elementTypes, ElementType.METHOD), "Should target METHOD"); + assertTrue(containsTarget(elementTypes, ElementType.FIELD), "Should target FIELD"); + assertTrue(containsTarget(elementTypes, ElementType.PARAMETER), "Should target PARAMETER"); + assertTrue(containsTarget(elementTypes, ElementType.TYPE), "Should target TYPE"); + } + + @Test + @DisplayName("Should have correct retention policy") + void shouldHaveCorrectRetentionPolicy() { + // Act + Retention retention = VirtualThreadExecutor.class.getAnnotation(Retention.class); + + // Assert + assertNotNull(retention, "Retention annotation should be present"); + assertEquals( + RetentionPolicy.RUNTIME, retention.value(), "Should have RUNTIME retention policy"); + } + + @Test + @DisplayName("Should be an interface") + void shouldBeAnInterface() { + // Assert + assertTrue( + VirtualThreadExecutor.class.isInterface(), "VirtualThreadExecutor should be an interface"); + } + + @Test + @DisplayName("Should be in correct package") + void shouldBeInCorrectPackage() { + // Assert + assertEquals( + "fish.payara.trader.concurrency", + VirtualThreadExecutor.class.getPackage().getName(), + "Should be in fish.payara.trader.concurrency package"); + } + + @Test + @DisplayName("Should have correct simple name") + void shouldHaveCorrectSimpleName() { + // Assert + assertEquals( + "VirtualThreadExecutor", + VirtualThreadExecutor.class.getSimpleName(), + "Should have correct simple name"); + } + + @Test + @DisplayName("Should be an annotation interface") + void shouldBeAnAnnotationInterface() { + // Act + boolean isAnnotation = VirtualThreadExecutor.class.isAnnotation(); + + // Assert + assertTrue(isAnnotation, "VirtualThreadExecutor should be an annotation interface"); + } + + @Test + @DisplayName("Should have no declared methods") + void shouldHaveNoDeclaredMethods() { + // Act + java.lang.reflect.Method[] methods = VirtualThreadExecutor.class.getDeclaredMethods(); + + // Assert + assertEquals(0, methods.length, "Should have no declared methods"); + } + + @Test + @DisplayName("Should have no declared fields") + void shouldHaveNoDeclaredFields() { + // Act + java.lang.reflect.Field[] fields = VirtualThreadExecutor.class.getDeclaredFields(); + + // Assert + assertEquals(0, fields.length, "Should have no declared fields"); + } + + @Test + @DisplayName("Should have no declared constructors") + void shouldHaveNoDeclaredConstructors() { + // Act + java.lang.reflect.Constructor[] constructors = + VirtualThreadExecutor.class.getDeclaredConstructors(); + + // Assert + assertEquals(0, constructors.length, "Should have no declared constructors"); + } + + @Test + @DisplayName("Should have no declared annotations except standard ones") + void shouldHaveNoDeclaredAnnotationsExceptStandardOnes() { + // Act + java.lang.annotation.Annotation[] annotations = + VirtualThreadExecutor.class.getDeclaredAnnotations(); + + // Assert + // Should have exactly 3 annotations: @Target, @Retention, @Qualifier + assertEquals(3, annotations.length, "Should have exactly 3 declared annotations"); + + // Verify the types of annotations + boolean hasTarget = false; + boolean hasRetention = false; + boolean hasQualifier = false; + + for (java.lang.annotation.Annotation annotation : annotations) { + if (annotation instanceof Target) { + hasTarget = true; + } else if (annotation instanceof Retention) { + hasRetention = true; + } else if (annotation instanceof Qualifier) { + hasQualifier = true; + } + } + + assertTrue(hasTarget, "Should have @Target annotation"); + assertTrue(hasRetention, "Should have @Retention annotation"); + assertTrue(hasQualifier, "Should have @Qualifier annotation"); + } + + @Test + @DisplayName("Should be suitable for dependency injection") + void shouldBeSuitableForDependencyInjection() { + // Act & Assert - This test verifies that the annotation has the right properties + // for use in CDI/dependency injection frameworks + + // Should be a qualifier annotation (jakarta.inject.Qualifier) + Qualifier qualifier = VirtualThreadExecutor.class.getAnnotation(Qualifier.class); + assertNotNull(qualifier, "Should be a CDI Qualifier annotation"); + + // Should be retained at runtime for injection + Retention retention = VirtualThreadExecutor.class.getAnnotation(Retention.class); + assertEquals( + RetentionPolicy.RUNTIME, retention.value(), "Should be retained at runtime for injection"); + } + + @Test + @DisplayName("Should have descriptive documentation") + void shouldHaveDescriptiveDocumentation() { + // Act + String className = VirtualThreadExecutor.class.getSimpleName(); + Package pkg = VirtualThreadExecutor.class.getPackage(); + + // Assert + assertEquals("VirtualThreadExecutor", className, "Should have descriptive name"); + assertEquals( + "fish.payara.trader.concurrency", pkg.getName(), "Should be in meaningful package"); + + // Note: We can't easily test javadoc content without additional libraries, + // but we can verify that the class is documented by its existence and naming + } + + /** Helper method to check if target array contains specific element type */ + private boolean containsTarget(ElementType[] targets, ElementType targetType) { + for (ElementType target : targets) { + if (target == targetType) { + return true; + } + } + return false; + } +} diff --git a/src/test/java/fish/payara/trader/gc/GCStatsServiceTest.java b/src/test/java/fish/payara/trader/gc/GCStatsServiceTest.java new file mode 100644 index 0000000..68ad242 --- /dev/null +++ b/src/test/java/fish/payara/trader/gc/GCStatsServiceTest.java @@ -0,0 +1,141 @@ +package fish.payara.trader.gc; + +import static org.assertj.core.api.Assertions.assertThat; +import static org.mockito.Mockito.*; + +import com.sun.management.GarbageCollectionNotificationInfo; +import com.sun.management.GcInfo; +import java.util.List; +import javax.management.Notification; +import javax.management.openmbean.CompositeData; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.DisplayName; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.extension.ExtendWith; +import org.mockito.MockedStatic; +import org.mockito.junit.jupiter.MockitoExtension; + +@ExtendWith(MockitoExtension.class) +@DisplayName("GCStatsService Tests") +class GCStatsServiceTest { + + private GCStatsService gcStatsService; + + @BeforeEach + void setUp() { + gcStatsService = new GCStatsService(); + } + + @Test + @DisplayName("Should handle GC notification and record pause") + void shouldHandleGCNotificationAndRecordPause() { + Notification notification = + new Notification( + GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION, "test", 1L); + CompositeData compositeData = mock(CompositeData.class); + notification.setUserData(compositeData); + + GarbageCollectionNotificationInfo info = mock(GarbageCollectionNotificationInfo.class); + GcInfo gcInfo = mock(GcInfo.class); + + when(info.getGcName()).thenReturn("G1 Young Generation"); + when(info.getGcAction()).thenReturn("end of minor GC"); + when(info.getGcCause()).thenReturn("System.gc()"); + when(info.getGcInfo()).thenReturn(gcInfo); + when(gcInfo.getDuration()).thenReturn(50L); + + try (MockedStatic mockedStatic = + mockStatic(GarbageCollectionNotificationInfo.class)) { + mockedStatic + .when(() -> GarbageCollectionNotificationInfo.from(compositeData)) + .thenReturn(info); + + gcStatsService.handleNotification(notification, null); + } + + List stats = gcStatsService.collectGCStats(); + // We expect at least the G1 Young Generation to be present if the JVM is running G1 + // But since collectGCStats calls ManagementFactory.getGarbageCollectorMXBeans(), + // it depends on the actual JVM. + // However, we can verify the pauseHistory internal state by calling collectGCStats + // and looking for the one we just injected. + + GCStats g1Stats = + stats.stream() + .filter(s -> s.getGcName().equals("G1 Young Generation")) + .findFirst() + .orElse(null); + + if (g1Stats != null) { + assertThat(g1Stats.getLastPauseDuration()).isEqualTo(50L); + assertThat(g1Stats.getRecentPauses()).contains(50L); + } + } + + @Test + @DisplayName("Should filter GPGC concurrent cycle notifications") + void shouldFilterGPGCConcurrentCycleNotifications() { + Notification notification = + new Notification( + GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION, "test", 1L); + CompositeData compositeData = mock(CompositeData.class); + notification.setUserData(compositeData); + + GarbageCollectionNotificationInfo info = mock(GarbageCollectionNotificationInfo.class); + GcInfo gcInfo = mock(GcInfo.class); + + when(info.getGcName()).thenReturn("GPGC"); // This should be filtered + when(info.getGcInfo()).thenReturn(gcInfo); + when(gcInfo.getDuration()).thenReturn(500L); + + try (MockedStatic mockedStatic = + mockStatic(GarbageCollectionNotificationInfo.class)) { + mockedStatic + .when(() -> GarbageCollectionNotificationInfo.from(compositeData)) + .thenReturn(info); + + gcStatsService.handleNotification(notification, null); + } + + List stats = gcStatsService.collectGCStats(); + GCStats gpgcStats = + stats.stream().filter(s -> s.getGcName().equals("GPGC")).findFirst().orElse(null); + + // GPGC should be excluded from stats + assertThat(gpgcStats).isNull(); + } + + @Test + @DisplayName("Should reset statistics") + void shouldResetStatistics() { + Notification notification = + new Notification( + GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION, "test", 1L); + CompositeData compositeData = mock(CompositeData.class); + notification.setUserData(compositeData); + + GarbageCollectionNotificationInfo info = mock(GarbageCollectionNotificationInfo.class); + GcInfo gcInfo = mock(GcInfo.class); + + when(info.getGcName()).thenReturn("Test GC"); + when(info.getGcInfo()).thenReturn(gcInfo); + when(gcInfo.getDuration()).thenReturn(100L); + + try (MockedStatic mockedStatic = + mockStatic(GarbageCollectionNotificationInfo.class)) { + mockedStatic + .when(() -> GarbageCollectionNotificationInfo.from(compositeData)) + .thenReturn(info); + gcStatsService.handleNotification(notification, null); + } + + gcStatsService.resetStats(); + + // After reset, even if the bean exists in JVM, the pause history should be gone + List stats = gcStatsService.collectGCStats(); + for (GCStats s : stats) { + assertThat(s.getRecentPauses()).isEmpty(); + assertThat(s.getLastPauseDuration()).isZero(); + } + } +} diff --git a/src/test/java/fish/payara/trader/gc/GCStatsTest.java b/src/test/java/fish/payara/trader/gc/GCStatsTest.java new file mode 100644 index 0000000..b22e594 --- /dev/null +++ b/src/test/java/fish/payara/trader/gc/GCStatsTest.java @@ -0,0 +1,559 @@ +package fish.payara.trader.gc; + +import static org.junit.jupiter.api.Assertions.*; + +import java.util.Arrays; +import java.util.List; +import org.junit.jupiter.api.DisplayName; +import org.junit.jupiter.api.Nested; +import org.junit.jupiter.api.Test; + +/** Unit tests for GCStats data class */ +@DisplayName("GCStats Tests") +class GCStatsTest { + + @Nested + @DisplayName("Constructor and Basic Properties Tests") + class ConstructorAndBasicPropertiesTests { + + @Test + @DisplayName("Should create GCStats with default constructor") + void shouldCreateGCStatsWithDefaultConstructor() { + GCStats stats = new GCStats(); + + assertNotNull(stats, "GCStats should not be null"); + assertNull(stats.getGcName(), "GC name should be null by default"); + assertEquals(0L, stats.getCollectionCount(), "Collection count should default to 0"); + assertEquals(0L, stats.getCollectionTime(), "Collection time should default to 0"); + assertEquals(0L, stats.getLastPauseDuration(), "Last pause duration should default to 0"); + assertNull(stats.getRecentPauses(), "Recent pauses should be null by default"); + assertNull(stats.getPercentiles(), "Percentiles should be null by default"); + assertEquals(0L, stats.getTotalMemory(), "Total memory should default to 0"); + assertEquals(0L, stats.getUsedMemory(), "Used memory should default to 0"); + assertEquals(0L, stats.getFreeMemory(), "Free memory should default to 0"); + } + } + + @Nested + @DisplayName("GC Name Tests") + class GCNameTests { + + @Test + @DisplayName("Should set and get GC name correctly") + void shouldSetAndGetGCNameCorrectly() { + GCStats stats = new GCStats(); + String gcName = "G1 Young Generation"; + + stats.setGcName(gcName); + assertEquals(gcName, stats.getGcName(), "GC name should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle null GC name") + void shouldHandleNullGCName() { + GCStats stats = new GCStats(); + + assertDoesNotThrow(() -> stats.setGcName(null), "Setting null GC name should not throw"); + assertNull(stats.getGcName(), "GC name should be null"); + } + + @Test + @DisplayName("Should handle empty GC name") + void shouldHandleEmptyGCName() { + GCStats stats = new GCStats(); + String emptyName = ""; + + stats.setGcName(emptyName); + assertEquals(emptyName, stats.getGcName(), "Empty GC name should be handled"); + } + + @Test + @DisplayName("Should handle special characters in GC name") + void shouldHandleSpecialCharactersInGCName() { + GCStats stats = new GCStats(); + String specialName = "G1/Young (Test) @#$%^&*()"; + + stats.setGcName(specialName); + assertEquals(specialName, stats.getGcName(), "Special characters should be preserved"); + } + } + + @Nested + @DisplayName("Collection Statistics Tests") + class CollectionStatisticsTests { + + @Test + @DisplayName("Should set and get collection count correctly") + void shouldSetAndGetCollectionCountCorrectly() { + GCStats stats = new GCStats(); + long collectionCount = 12345L; + + stats.setCollectionCount(collectionCount); + assertEquals( + collectionCount, + stats.getCollectionCount(), + "Collection count should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle zero collection count") + void shouldHandleZeroCollectionCount() { + GCStats stats = new GCStats(); + + stats.setCollectionCount(0L); + assertEquals(0L, stats.getCollectionCount(), "Zero collection count should be handled"); + } + + @Test + @DisplayName("Should handle negative collection count") + void shouldHandleNegativeCollectionCount() { + GCStats stats = new GCStats(); + long negativeCount = -100L; + + stats.setCollectionCount(negativeCount); + assertEquals( + negativeCount, stats.getCollectionCount(), "Negative collection count should be handled"); + } + + @Test + @DisplayName("Should handle very large collection count") + void shouldHandleVeryLargeCollectionCount() { + GCStats stats = new GCStats(); + long largeCount = Long.MAX_VALUE; + + stats.setCollectionCount(largeCount); + assertEquals( + largeCount, stats.getCollectionCount(), "Very large collection count should be handled"); + } + + @Test + @DisplayName("Should set and get collection time correctly") + void shouldSetAndGetCollectionTimeCorrectly() { + GCStats stats = new GCStats(); + long collectionTime = 98765L; + + stats.setCollectionTime(collectionTime); + assertEquals( + collectionTime, + stats.getCollectionTime(), + "Collection time should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle zero collection time") + void shouldHandleZeroCollectionTime() { + GCStats stats = new GCStats(); + + stats.setCollectionTime(0L); + assertEquals(0L, stats.getCollectionTime(), "Zero collection time should be handled"); + } + + @Test + @DisplayName("Should handle negative collection time") + void shouldHandleNegativeCollectionTime() { + GCStats stats = new GCStats(); + long negativeTime = -500L; + + stats.setCollectionTime(negativeTime); + assertEquals( + negativeTime, stats.getCollectionTime(), "Negative collection time should be handled"); + } + } + + @Nested + @DisplayName("Pause Duration Tests") + class PauseDurationTests { + + @Test + @DisplayName("Should set and get last pause duration correctly") + void shouldSetAndGetLastPauseDurationCorrectly() { + GCStats stats = new GCStats(); + long pauseDuration = 150L; + + stats.setLastPauseDuration(pauseDuration); + assertEquals( + pauseDuration, + stats.getLastPauseDuration(), + "Last pause duration should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle zero pause duration") + void shouldHandleZeroPauseDuration() { + GCStats stats = new GCStats(); + + stats.setLastPauseDuration(0L); + assertEquals(0L, stats.getLastPauseDuration(), "Zero pause duration should be handled"); + } + + @Test + @DisplayName("Should handle very long pause duration") + void shouldHandleVeryLongPauseDuration() { + GCStats stats = new GCStats(); + long longPause = 30000L; // 30 seconds + + stats.setLastPauseDuration(longPause); + assertEquals( + longPause, stats.getLastPauseDuration(), "Very long pause duration should be handled"); + } + + @Test + @DisplayName("Should handle microsecond-level pause duration") + void shouldHandleMicrosecondLevelPauseDuration() { + GCStats stats = new GCStats(); + long microPause = 1L; // 1 millisecond (micro in practice) + + stats.setLastPauseDuration(microPause); + assertEquals( + microPause, + stats.getLastPauseDuration(), + "Microsecond-level pause duration should be handled"); + } + } + + @Nested + @DisplayName("Recent Pauses Tests") + class RecentPausesTests { + + @Test + @DisplayName("Should set and get recent pauses list correctly") + void shouldSetAndGetRecentPausesListCorrectly() { + GCStats stats = new GCStats(); + List pauses = Arrays.asList(10L, 25L, 15L, 30L, 12L); + + stats.setRecentPauses(pauses); + assertEquals( + pauses, + stats.getRecentPauses(), + "Recent pauses list should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle empty recent pauses list") + void shouldHandleEmptyRecentPausesList() { + GCStats stats = new GCStats(); + List emptyList = List.of(); + + stats.setRecentPauses(emptyList); + assertEquals( + emptyList, stats.getRecentPauses(), "Empty recent pauses list should be handled"); + } + + @Test + @DisplayName("Should handle null recent pauses list") + void shouldHandleNullRecentPausesList() { + GCStats stats = new GCStats(); + + assertDoesNotThrow( + () -> stats.setRecentPauses(null), "Setting null recent pauses should not throw"); + assertNull(stats.getRecentPauses(), "Recent pauses should be null"); + } + + @Test + @DisplayName("Should handle recent pauses with zero values") + void shouldHandleRecentPausesWithZeroValues() { + GCStats stats = new GCStats(); + List zeros = Arrays.asList(0L, 0L, 0L, 0L); + + stats.setRecentPauses(zeros); + assertEquals(zeros, stats.getRecentPauses(), "Zero pause values should be handled"); + } + + @Test + @DisplayName("Should handle recent pauses with mixed values") + void shouldHandleRecentPausesWithMixedValues() { + GCStats stats = new GCStats(); + List mixedValues = Arrays.asList(5L, 0L, 1000L, 1L, 500L); + + stats.setRecentPauses(mixedValues); + assertEquals(mixedValues, stats.getRecentPauses(), "Mixed pause values should be handled"); + } + } + + @Nested + @DisplayName("Percentiles Tests") + class PercentilesTests { + + @Test + @DisplayName("Should set and get percentiles correctly") + void shouldSetAndGetPercentilesCorrectly() { + GCStats stats = new GCStats(); + GCStats.PausePercentiles percentiles = + new GCStats.PausePercentiles(10L, 25L, 50L, 100L, 200L); + + stats.setPercentiles(percentiles); + assertEquals( + percentiles, stats.getPercentiles(), "Percentiles should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle null percentiles") + void shouldHandleNullPercentiles() { + GCStats stats = new GCStats(); + + assertDoesNotThrow( + () -> stats.setPercentiles(null), "Setting null percentiles should not throw"); + assertNull(stats.getPercentiles(), "Percentiles should be null"); + } + + @Test + @DisplayName("Should handle all zero percentile values") + void shouldHandleAllZeroPercentileValues() { + GCStats stats = new GCStats(); + GCStats.PausePercentiles zeroPercentiles = new GCStats.PausePercentiles(0L, 0L, 0L, 0L, 0L); + + stats.setPercentiles(zeroPercentiles); + assertEquals(0L, stats.getPercentiles().getP50(), "P50 should be zero"); + assertEquals(0L, stats.getPercentiles().getP95(), "P95 should be zero"); + assertEquals(0L, stats.getPercentiles().getP99(), "P99 should be zero"); + assertEquals(0L, stats.getPercentiles().getP999(), "P999 should be zero"); + assertEquals(0L, stats.getPercentiles().getMax(), "Max should be zero"); + } + + @Test + @DisplayName("Should handle percentile with constructor") + void shouldHandlePercentileWithConstructor() { + long p50 = 15L, p95 = 50L, p99 = 120L, p999 = 300L, max = 500L; + GCStats.PausePercentiles percentiles = new GCStats.PausePercentiles(p50, p95, p99, p999, max); + + assertEquals(p50, percentiles.getP50(), "P50 should match constructor value"); + assertEquals(p95, percentiles.getP95(), "P95 should match constructor value"); + assertEquals(p99, percentiles.getP99(), "P99 should match constructor value"); + assertEquals(p999, percentiles.getP999(), "P999 should match constructor value"); + assertEquals(max, percentiles.getMax(), "Max should match constructor value"); + } + + @Test + @DisplayName("Should handle percentile setters and getters") + void shouldHandlePercentileSettersAndGetters() { + GCStats.PausePercentiles percentiles = new GCStats.PausePercentiles(); + + long p50 = 25L, p95 = 75L, p99 = 150L, p999 = 400L, max = 800L; + + percentiles.setP50(p50); + percentiles.setP95(p95); + percentiles.setP99(p99); + percentiles.setP999(p999); + percentiles.setMax(max); + + assertEquals(p50, percentiles.getP50(), "P50 should be set correctly"); + assertEquals(p95, percentiles.getP95(), "P95 should be set correctly"); + assertEquals(p99, percentiles.getP99(), "P99 should be set correctly"); + assertEquals(p999, percentiles.getP999(), "P999 should be set correctly"); + assertEquals(max, percentiles.getMax(), "Max should be set correctly"); + } + } + + @Nested + @DisplayName("Memory Statistics Tests") + class MemoryStatisticsTests { + + @Test + @DisplayName("Should set and get total memory correctly") + void shouldSetAndGetTotalMemoryCorrectly() { + GCStats stats = new GCStats(); + long totalMemory = 1024L * 1024L * 1024L; // 1GB + + stats.setTotalMemory(totalMemory); + assertEquals( + totalMemory, + stats.getTotalMemory(), + "Total memory should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should set and get used memory correctly") + void shouldSetAndGetUsedMemoryCorrectly() { + GCStats stats = new GCStats(); + long usedMemory = 512L * 1024L * 1024L; // 512MB + + stats.setUsedMemory(usedMemory); + assertEquals( + usedMemory, stats.getUsedMemory(), "Used memory should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should set and get free memory correctly") + void shouldSetAndGetFreeMemoryCorrectly() { + GCStats stats = new GCStats(); + long freeMemory = 256L * 1024L * 1024L; // 256MB + + stats.setFreeMemory(freeMemory); + assertEquals( + freeMemory, stats.getFreeMemory(), "Free memory should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should maintain memory relationship: total >= used") + void shouldMaintainMemoryRelationshipTotalGTEUsed() { + GCStats stats = new GCStats(); + long total = 1000L; + long used = 750L; + + stats.setTotalMemory(total); + stats.setUsedMemory(used); + + assertTrue( + stats.getTotalMemory() >= stats.getUsedMemory(), + "Total memory should be greater than or equal to used memory"); + } + + @Test + @DisplayName("Should maintain memory relationship: total >= free") + void shouldMaintainMemoryRelationshipTotalGTFree() { + GCStats stats = new GCStats(); + long total = 1000L; + long free = 300L; + + stats.setTotalMemory(total); + stats.setFreeMemory(free); + + assertTrue( + stats.getTotalMemory() >= stats.getFreeMemory(), + "Total memory should be greater than or equal to free memory"); + } + + @Test + @DisplayName("Should maintain memory relationship: total >= used + free") + void shouldMaintainMemoryRelationshipTotalGEUsedPlusFree() { + GCStats stats = new GCStats(); + long total = 1000L; + long used = 600L; + long free = 400L; + + stats.setTotalMemory(total); + stats.setUsedMemory(used); + stats.setFreeMemory(free); + + assertTrue( + stats.getTotalMemory() >= stats.getUsedMemory() + stats.getFreeMemory(), + "Total memory should be greater than or equal to used + free memory"); + } + + @Test + @DisplayName("Should handle zero memory values") + void shouldHandleZeroMemoryValues() { + GCStats stats = new GCStats(); + + stats.setTotalMemory(0L); + stats.setUsedMemory(0L); + stats.setFreeMemory(0L); + + assertEquals(0L, stats.getTotalMemory(), "Total memory should handle zero"); + assertEquals(0L, stats.getUsedMemory(), "Used memory should handle zero"); + assertEquals(0L, stats.getFreeMemory(), "Free memory should handle zero"); + } + + @Test + @DisplayName("Should handle large memory values") + void shouldHandleLargeMemoryValues() { + GCStats stats = new GCStats(); + long largeValue = Long.MAX_VALUE / 2; // Half of max long value + + stats.setTotalMemory(largeValue); + stats.setUsedMemory(largeValue / 2); + stats.setFreeMemory(largeValue / 4); + + assertEquals(largeValue, stats.getTotalMemory(), "Large total memory should be handled"); + assertEquals(largeValue / 2, stats.getUsedMemory(), "Large used memory should be handled"); + assertEquals(largeValue / 4, stats.getFreeMemory(), "Large free memory should be handled"); + } + } + + @Nested + @DisplayName("Consistency Tests") + class ConsistencyTests { + + @Test + @DisplayName("Should maintain consistent state across multiple property changes") + void shouldMaintainConsistentStateAcrossMultiplePropertyChanges() { + GCStats stats = new GCStats(); + + // Set all properties + stats.setGcName("Test GC"); + stats.setCollectionCount(100L); + stats.setCollectionTime(5000L); + stats.setLastPauseDuration(50L); + stats.setRecentPauses(List.of(10L, 20L, 30L)); + stats.setPercentiles(new GCStats.PausePercentiles(15L, 25L, 40L, 60L, 100L)); + stats.setTotalMemory(1024L); + stats.setUsedMemory(512L); + stats.setFreeMemory(256L); + + // Verify all properties are still correct + assertEquals("Test GC", stats.getGcName()); + assertEquals(100L, stats.getCollectionCount()); + assertEquals(5000L, stats.getCollectionTime()); + assertEquals(50L, stats.getLastPauseDuration()); + assertEquals(List.of(10L, 20L, 30L), stats.getRecentPauses()); + assertEquals(15L, stats.getPercentiles().getP50()); + assertEquals(1024L, stats.getTotalMemory()); + assertEquals(512L, stats.getUsedMemory()); + assertEquals(256L, stats.getFreeMemory()); + } + + @Test + @DisplayName("Should handle independent property modifications") + void shouldHandleIndependentPropertyModifications() { + GCStats stats = new GCStats(); + + // Set initial values + stats.setCollectionCount(100L); + stats.setCollectionTime(5000L); + + // Modify one property + stats.setCollectionCount(200L); + + // Verify only the modified property changed + assertEquals(200L, stats.getCollectionCount(), "Modified property should change"); + assertEquals(5000L, stats.getCollectionTime(), "Unmodified property should remain unchanged"); + } + } + + @Nested + @DisplayName("Edge Cases Tests") + class EdgeCasesTests { + + @Test + @DisplayName("Should handle Long.MAX_VALUE for all numeric properties") + void shouldHandleLongMaxValueForAllNumericProperties() { + GCStats stats = new GCStats(); + long maxValue = Long.MAX_VALUE; + + stats.setCollectionCount(maxValue); + stats.setCollectionTime(maxValue); + stats.setLastPauseDuration(maxValue); + stats.setTotalMemory(maxValue); + stats.setUsedMemory(maxValue); + stats.setFreeMemory(maxValue); + + assertEquals(maxValue, stats.getCollectionCount()); + assertEquals(maxValue, stats.getCollectionTime()); + assertEquals(maxValue, stats.getLastPauseDuration()); + assertEquals(maxValue, stats.getTotalMemory()); + assertEquals(maxValue, stats.getUsedMemory()); + assertEquals(maxValue, stats.getFreeMemory()); + } + + @Test + @DisplayName("Should handle Long.MIN_VALUE for all numeric properties") + void shouldHandleLongMinValueForAllNumericProperties() { + GCStats stats = new GCStats(); + long minValue = Long.MIN_VALUE; + + stats.setCollectionCount(minValue); + stats.setCollectionTime(minValue); + stats.setLastPauseDuration(minValue); + stats.setTotalMemory(minValue); + stats.setUsedMemory(minValue); + stats.setFreeMemory(minValue); + + assertEquals(minValue, stats.getCollectionCount()); + assertEquals(minValue, stats.getCollectionTime()); + assertEquals(minValue, stats.getLastPauseDuration()); + assertEquals(minValue, stats.getTotalMemory()); + assertEquals(minValue, stats.getUsedMemory()); + assertEquals(minValue, stats.getFreeMemory()); + } + } +} diff --git a/src/test/java/fish/payara/trader/monitoring/SLAMonitorServiceTest.java b/src/test/java/fish/payara/trader/monitoring/SLAMonitorServiceTest.java new file mode 100644 index 0000000..afbda1f --- /dev/null +++ b/src/test/java/fish/payara/trader/monitoring/SLAMonitorServiceTest.java @@ -0,0 +1,119 @@ +package fish.payara.trader.monitoring; + +import static org.junit.jupiter.api.Assertions.*; + +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.DisplayName; +import org.junit.jupiter.api.Test; + +@DisplayName("SLAMonitorService Tests") +class SLAMonitorServiceTest { + + private SLAMonitorService slaMonitorService; + + @BeforeEach + void setUp() { + slaMonitorService = new SLAMonitorService(); + } + + @Test + @DisplayName("Should initialize with zeroed stats") + void shouldInitializeWithZeroedStats() { + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + + assertEquals(0, stats.totalOperations); + assertEquals(0, stats.violationsOver10ms); + assertEquals(0, stats.violationsOver50ms); + assertEquals(0, stats.violationsOver100ms); + assertEquals(0.0, stats.violationRate); + assertEquals(0, stats.recentViolations); + } + + @Test + @DisplayName("Should record normal operation below thresholds") + void shouldRecordNormalOperationBelowThresholds() { + slaMonitorService.recordOperation(5); + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(1, stats.totalOperations); + assertEquals(0, stats.violationsOver10ms); + assertEquals(0.0, stats.violationRate); + } + + @Test + @DisplayName("Should record violation over 10ms") + void shouldRecordViolationOver10ms() { + slaMonitorService.recordOperation(15); + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(1, stats.totalOperations); + assertEquals(1, stats.violationsOver10ms); + assertEquals(0, stats.violationsOver50ms); + assertEquals(0, stats.violationsOver100ms); + assertEquals(100.0, stats.violationRate); + assertEquals(1, stats.recentViolations); + } + + @Test + @DisplayName("Should record violation over 50ms") + void shouldRecordViolationOver50ms() { + slaMonitorService.recordOperation(55); + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(1, stats.totalOperations); + assertEquals(1, stats.violationsOver10ms); + assertEquals(1, stats.violationsOver50ms); + assertEquals(0, stats.violationsOver100ms); + assertEquals(1, stats.recentViolations); + } + + @Test + @DisplayName("Should record violation over 100ms") + void shouldRecordViolationOver100ms() { + slaMonitorService.recordOperation(105); + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(1, stats.totalOperations); + assertEquals(1, stats.violationsOver10ms); + assertEquals(1, stats.violationsOver50ms); + assertEquals(1, stats.violationsOver100ms); + assertEquals(1, stats.recentViolations); + } + + @Test + @DisplayName("Should calculate violation rate correctly") + void shouldCalculateViolationRateCorrectly() { + slaMonitorService.recordOperation(5); // No violation + slaMonitorService.recordOperation(15); // Violation > 10ms + slaMonitorService.recordOperation(5); // No violation + slaMonitorService.recordOperation(20); // Violation > 10ms + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(4, stats.totalOperations); + assertEquals(2, stats.violationsOver10ms); + assertEquals(50.0, stats.violationRate); + } + + @Test + @DisplayName("Should reset statistics") + void shouldResetStatistics() { + slaMonitorService.recordOperation(105); + slaMonitorService.reset(); + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(0, stats.totalOperations); + assertEquals(0, stats.violationsOver10ms); + assertEquals(0, stats.recentViolations); + } + + @Test + @DisplayName("Should handle multiple violations in a window") + void shouldHandleMultipleViolationsInWindow() { + for (int i = 0; i < 10; i++) { + slaMonitorService.recordOperation(15); + } + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(10, stats.recentViolations); + } +} diff --git a/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java b/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java new file mode 100644 index 0000000..ee63a43 --- /dev/null +++ b/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java @@ -0,0 +1,357 @@ +package fish.payara.trader.pressure; + +import static org.junit.jupiter.api.Assertions.*; + +import org.junit.jupiter.api.DisplayName; +import org.junit.jupiter.api.Nested; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.params.ParameterizedTest; +import org.junit.jupiter.params.provider.EnumSource; +import org.junit.jupiter.params.provider.ValueSource; + +/** Unit tests for AllocationMode enum */ +@DisplayName("AllocationMode Tests") +class AllocationModeTest { + + @Nested + @DisplayName("Enum Values Tests") + class EnumValuesTests { + + @Test + @DisplayName("Should have all required allocation modes") + void shouldHaveAllRequiredAllocationModes() { + AllocationMode[] modes = AllocationMode.values(); + assertEquals(5, modes.length, "Should have exactly 5 allocation modes"); + + assertTrue(containsMode(modes, AllocationMode.OFF), "Should contain OFF mode"); + assertTrue(containsMode(modes, AllocationMode.LOW), "Should contain LOW mode"); + assertTrue(containsMode(modes, AllocationMode.MEDIUM), "Should contain MEDIUM mode"); + assertTrue(containsMode(modes, AllocationMode.HIGH), "Should contain HIGH mode"); + assertTrue(containsMode(modes, AllocationMode.EXTREME), "Should contain EXTREME mode"); + } + + @Test + @DisplayName("Should have correct enum order from low to high pressure") + void shouldHaveCorrectEnumOrderFromLowToHighPressure() { + AllocationMode[] modes = AllocationMode.values(); + + assertEquals(AllocationMode.OFF, modes[0], "OFF should be first"); + assertEquals(AllocationMode.LOW, modes[1], "LOW should be second"); + assertEquals(AllocationMode.MEDIUM, modes[2], "MEDIUM should be third"); + assertEquals(AllocationMode.HIGH, modes[3], "HIGH should be fourth"); + assertEquals(AllocationMode.EXTREME, modes[4], "EXTREME should be last"); + } + } + + @Nested + @DisplayName("Allocation Properties Tests") + class AllocationPropertiesTests { + + @ParameterizedTest + @EnumSource(AllocationMode.class) + @DisplayName("Should have correct allocation per iteration values") + void shouldHaveCorrectAllocationPerIterationValues(AllocationMode mode) { + int expected = + switch (mode) { + case OFF -> 0; + case LOW -> 10; + case MEDIUM -> 100; + case HIGH -> 5000; + case EXTREME -> 20000; + }; + + assertEquals( + expected, + mode.getAllocationsPerIteration(), + String.format("Mode %s should have %d allocations per iteration", mode.name(), expected)); + } + + @ParameterizedTest + @EnumSource(AllocationMode.class) + @DisplayName("Should have correct bytes per allocation values") + void shouldHaveCorrectBytesPerAllocationValues(AllocationMode mode) { + int expected = + switch (mode) { + case OFF -> 0; + default -> 10240; + }; + assertEquals( + expected, + mode.getBytesPerAllocation(), + String.format("Mode %s should have %d bytes per allocation", mode.name(), expected)); + } + + @ParameterizedTest + @EnumSource(AllocationMode.class) + @DisplayName("Should have meaningful descriptions") + void shouldHaveMeaningfulDescriptions(AllocationMode mode) { + String description = mode.getDescription(); + + assertNotNull(description, "Description should not be null"); + assertFalse(description.trim().isEmpty(), "Description should not be empty"); + assertTrue(description.length() > 10, "Description should be descriptive"); + } + } + + @Nested + @DisplayName("Bytes Per Second Calculation Tests") + class BytesPerSecondCalculationTests { + + @Test + @DisplayName("Should calculate bytes per second correctly for OFF mode") + void shouldCalculateBytesPerSecondCorrectlyForOffMode() { + assertEquals( + 0L, + AllocationMode.OFF.getBytesPerSecond(), + "OFF mode should allocate 0 bytes per second"); + } + + @Test + @DisplayName("Should calculate bytes per second correctly for LOW mode") + void shouldCalculateBytesPerSecondCorrectlyForLowMode() { + // 10 allocations * 10240 bytes * 10 iterations/sec = 1,024,000 bytes/sec + assertEquals( + 1_024_000L, AllocationMode.LOW.getBytesPerSecond(), "LOW mode should allocate 1 MB/sec"); + } + + @Test + @DisplayName("Should calculate bytes per second correctly for MEDIUM mode") + void shouldCalculateBytesPerSecondCorrectlyForMediumMode() { + // 100 allocations * 10240 bytes * 10 iterations/sec = 10,240,000 bytes/sec + assertEquals( + 10_240_000L, + AllocationMode.MEDIUM.getBytesPerSecond(), + "MEDIUM mode should allocate 10 MB/sec"); + } + + @Test + @DisplayName("Should calculate bytes per second correctly for HIGH mode") + void shouldCalculateBytesPerSecondCorrectlyForHighMode() { + // 5000 allocations * 10240 bytes * 10 iterations/sec = 512,000,000 bytes/sec + assertEquals( + 512_000_000L, + AllocationMode.HIGH.getBytesPerSecond(), + "HIGH mode should allocate 500 MB/sec"); + } + + @Test + @DisplayName("Should calculate bytes per second correctly for EXTREME mode") + void shouldCalculateBytesPerSecondCorrectlyForExtremeMode() { + // 20000 allocations * 10240 bytes * 10 iterations/sec = 2,048,000,000 bytes/sec + assertEquals( + 2_048_000_000L, + AllocationMode.EXTREME.getBytesPerSecond(), + "EXTREME mode should allocate 2 GB/sec"); + } + } + + @Nested + @DisplayName("Progressive Intensity Tests") + class ProgressiveIntensityTests { + + @Test + @DisplayName("Should have progressively increasing allocation rates") + void shouldHaveProgressivelyIncreasingAllocationRates() { + long previousRate = -1; + + for (AllocationMode mode : AllocationMode.values()) { + long currentRate = mode.getBytesPerSecond(); + + assertTrue( + currentRate >= previousRate, + String.format( + "%s (%d bytes/sec) should be >= previous rate (%d)", + mode.name(), currentRate, previousRate)); + + previousRate = currentRate; + } + } + + @Test + @DisplayName("Should have monotonic allocation per iteration progression") + void shouldHaveMonotonicAllocationPerIterationProgression() { + int previousAllocations = -1; + + for (AllocationMode mode : AllocationMode.values()) { + int currentAllocations = mode.getAllocationsPerIteration(); + + assertTrue( + currentAllocations >= previousAllocations, + String.format( + "%s (%d allocations) should be >= previous (%d)", + mode.name(), currentAllocations, previousAllocations)); + + previousAllocations = currentAllocations; + } + } + + @Test + @DisplayName("Should have significant gaps between modes") + void shouldHaveSignificantGapsBetweenModes() { + // Verify that there are meaningful differences between modes + assertTrue( + AllocationMode.LOW.getBytesPerSecond() > AllocationMode.OFF.getBytesPerSecond(), + "LOW should be significantly higher than OFF"); + + assertTrue( + AllocationMode.MEDIUM.getBytesPerSecond() > AllocationMode.LOW.getBytesPerSecond() * 5, + "MEDIUM should be at least 5x higher than LOW"); + + assertTrue( + AllocationMode.HIGH.getBytesPerSecond() > AllocationMode.MEDIUM.getBytesPerSecond() * 40, + "HIGH should be at least 40x higher than MEDIUM"); + + assertTrue( + AllocationMode.EXTREME.getBytesPerSecond() > AllocationMode.HIGH.getBytesPerSecond() * 2, + "EXTREME should be at least 2x higher than HIGH"); + } + } + + @Nested + @DisplayName("Description Content Tests") + class DescriptionContentTests { + + @Test + @DisplayName("Descriptions should contain pressure level indicators") + void descriptionsShouldContainPressureLevelIndicators() { + assertTrue( + AllocationMode.LOW.getDescription().contains("Light"), + "LOW description should contain 'Light'"); + + assertTrue( + AllocationMode.MEDIUM.getDescription().contains("Moderate"), + "MEDIUM description should contain 'Moderate'"); + + assertTrue( + AllocationMode.HIGH.getDescription().contains("Heavy"), + "HIGH description should contain 'Heavy'"); + + assertTrue( + AllocationMode.EXTREME.getDescription().contains("Extreme"), + "EXTREME description should contain 'Extreme'"); + + assertTrue( + AllocationMode.OFF.getDescription().contains("No"), + "OFF description should contain 'No'"); + } + + @Test + @DisplayName("Descriptions should contain rate information") + void descriptionsShouldContainRateInformation() { + assertTrue( + AllocationMode.LOW.getDescription().contains("1 MB/sec"), + "LOW description should contain rate information"); + + assertTrue( + AllocationMode.MEDIUM.getDescription().contains("10 MB/sec"), + "MEDIUM description should contain rate information"); + + assertTrue( + AllocationMode.HIGH.getDescription().contains("500 MB/sec"), + "HIGH description should contain rate information"); + + assertTrue( + AllocationMode.EXTREME.getDescription().contains("2 GB/sec"), + "EXTREME description should contain rate information"); + } + } + + @Nested + @DisplayName("Edge Cases Tests") + class EdgeCasesTests { + + @Test + @DisplayName("Should handle zero allocations correctly") + void shouldHandleZeroAllocationsCorrectly() { + assertEquals( + 0, + AllocationMode.OFF.getAllocationsPerIteration(), + "OFF mode should have zero allocations"); + + assertEquals( + 0L, + AllocationMode.OFF.getBytesPerSecond(), + "OFF mode should result in zero bytes per second"); + } + + @Test + @DisplayName("Should handle large allocations correctly") + void shouldHandleLargeAllocationsCorrectly() { + long extremeRate = AllocationMode.EXTREME.getBytesPerSecond(); + + assertTrue( + extremeRate > 1_000_000_000L, // 1GB + "EXTREME mode should handle large allocations (>1GB/sec)"); + + assertEquals(2_048_000_000L, extremeRate, "EXTREME mode should handle exactly 2GB/sec"); + } + + @ParameterizedTest + @ValueSource(strings = {"OFF", "LOW", "MEDIUM", "HIGH", "EXTREME"}) + @DisplayName("Should handle enum valueOf correctly") + void shouldHandleEnumValueOfCorrectly(String modeName) { + assertDoesNotThrow( + () -> { + AllocationMode mode = AllocationMode.valueOf(modeName); + assertNotNull(mode, "Mode should not be null"); + assertEquals(modeName, mode.name(), "Mode name should match"); + }, + "valueOf should work for all valid mode names"); + } + + @Test + @DisplayName("Should throw IllegalArgumentException for invalid mode names") + void shouldThrowIllegalArgumentExceptionForInvalidModeNames() { + String[] invalidNames = {"INVALID", "low", "high", "", " ", null}; + + for (String invalidName : invalidNames) { + if (invalidName != null) { + assertThrows( + IllegalArgumentException.class, + () -> { + AllocationMode.valueOf(invalidName); + }, + () -> String.format("Should throw for invalid mode name: '%s'", invalidName)); + } + } + } + } + + @Nested + @DisplayName("Constants Validation Tests") + class ConstantsValidationTests { + + @Test + @DisplayName("Should validate constant values") + void shouldValidateConstantValues() { + // Validate that bytes per allocation follows expected pattern + for (AllocationMode mode : AllocationMode.values()) { + int expectedBytes = (mode == AllocationMode.OFF) ? 0 : 10240; + assertEquals( + expectedBytes, + mode.getBytesPerAllocation(), + String.format("%s should use %d bytes per allocation", mode.name(), expectedBytes)); + } + + // Validate that calculation formula is consistent + for (AllocationMode mode : AllocationMode.values()) { + long expected = + (long) mode.getAllocationsPerIteration() * mode.getBytesPerAllocation() * 10; + assertEquals( + expected, + mode.getBytesPerSecond(), + String.format("Calculation should be consistent for %s", mode.name())); + } + } + } + + /** Helper method to check if array contains specific mode */ + private boolean containsMode(AllocationMode[] modes, AllocationMode targetMode) { + for (AllocationMode mode : modes) { + if (mode == targetMode) { + return true; + } + } + return false; + } +} diff --git a/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java b/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java new file mode 100644 index 0000000..a4e3397 --- /dev/null +++ b/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java @@ -0,0 +1,100 @@ +package fish.payara.trader.rest; + +import static org.junit.jupiter.api.Assertions.*; +import static org.mockito.Mockito.*; + +import fish.payara.trader.aeron.MarketDataPublisher; +import fish.payara.trader.gc.GCStatsService; +import fish.payara.trader.monitoring.GCPauseMonitor; +import fish.payara.trader.monitoring.SLAMonitorService; +import fish.payara.trader.pressure.AllocationMode; +import fish.payara.trader.pressure.MemoryPressureService; +import jakarta.ws.rs.core.Response; +import java.util.Collections; +import java.util.Map; +import org.junit.jupiter.api.DisplayName; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.extension.ExtendWith; +import org.mockito.InjectMocks; +import org.mockito.Mock; +import org.mockito.junit.jupiter.MockitoExtension; + +@ExtendWith(MockitoExtension.class) +@DisplayName("GCStatsResource Tests") +class GCStatsResourceTest { + + @Mock private GCStatsService gcStatsService; + @Mock private MemoryPressureService memoryPressureService; + @Mock private MarketDataPublisher publisher; + @Mock private SLAMonitorService slaMonitor; + @Mock private GCPauseMonitor gcPauseMonitor; + + @InjectMocks private GCStatsResource resource; + + @Test + @DisplayName("Should return SLA stats") + void shouldReturnSLAStats() { + SLAMonitorService.SLAStats mockStats = new SLAMonitorService.SLAStats(100, 5, 2, 1, 5.0, 3); + when(slaMonitor.getStats()).thenReturn(mockStats); + + Response response = resource.getSLAStats(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + assertEquals(mockStats, response.getEntity()); + } + + @Test + @DisplayName("Should reset SLA stats") + void shouldResetSLAStats() { + Response response = resource.resetSLAStats(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + verify(slaMonitor).reset(); + } + + @Test + @DisplayName("Should return GC pause stats") + void shouldReturnGCPauseStats() { + GCPauseMonitor.GCPauseStats mockStats = + new GCPauseMonitor.GCPauseStats(10, 100, 10.0, 10, 20, 30, 40, 50, 5, 2, 1, 10); + when(gcPauseMonitor.getStats()).thenReturn(mockStats); + + Response response = resource.getGCPauseStats(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + assertEquals(mockStats, response.getEntity()); + } + + @Test + @DisplayName("Should return accurate comparison data") + void shouldReturnAccurateComparisonData() { + when(memoryPressureService.getCurrentMode()).thenReturn(AllocationMode.MEDIUM); + when(publisher.getMessagesPublished()).thenReturn(5000L); + when(gcStatsService.collectGCStats()).thenReturn(Collections.emptyList()); + + GCPauseMonitor.GCPauseStats mockPauseStats = + new GCPauseMonitor.GCPauseStats(10, 100, 10.0, 10, 20, 30, 40, 50, 5, 2, 1, 10); + when(gcPauseMonitor.getStats()).thenReturn(mockPauseStats); + + Response response = resource.getComparison(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map entity = (Map) response.getEntity(); + + assertEquals(AllocationMode.MEDIUM, entity.get("allocationMode")); + assertEquals(5000L, entity.get("messageRate")); + assertEquals(10.0, ((Number) entity.get("pauseP50Ms")).doubleValue()); + assertEquals(50L, entity.get("pauseMaxMs")); + assertEquals(5L, entity.get("slaViolations10ms")); + } + + @Test + @DisplayName("Should reset GC stats") + void shouldResetGCStats() { + Response response = resource.resetStats(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + verify(gcStatsService).resetStats(); + } +} diff --git a/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java b/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java new file mode 100644 index 0000000..2876a74 --- /dev/null +++ b/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java @@ -0,0 +1,107 @@ +package fish.payara.trader.rest; + +import static org.junit.jupiter.api.Assertions.*; +import static org.mockito.Mockito.*; + +import fish.payara.trader.pressure.AllocationMode; +import fish.payara.trader.pressure.MemoryPressureService; +import jakarta.ws.rs.core.Response; +import java.util.List; +import java.util.Map; +import org.junit.jupiter.api.DisplayName; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.extension.ExtendWith; +import org.mockito.InjectMocks; +import org.mockito.Mock; +import org.mockito.junit.jupiter.MockitoExtension; + +@ExtendWith(MockitoExtension.class) +@DisplayName("MemoryPressureResource Tests") +class MemoryPressureResourceTest { + + @Mock private MemoryPressureService pressureService; + + @InjectMocks private MemoryPressureResource resource; + + @Test + @DisplayName("Should return current status") + void shouldReturnCurrentStatus() { + when(pressureService.getCurrentMode()).thenReturn(AllocationMode.LOW); + when(pressureService.isRunning()).thenReturn(true); + + Response response = resource.getStatus(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map entity = (Map) response.getEntity(); + assertEquals("LOW", entity.get("currentMode")); + assertEquals(true, entity.get("running")); + } + + @Test + @DisplayName("Should set allocation mode successfully") + void shouldSetAllocationModeSuccessfully() { + Response response = resource.setMode("high"); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + verify(pressureService).setAllocationMode(AllocationMode.HIGH); + + @SuppressWarnings("unchecked") + Map entity = (Map) response.getEntity(); + assertTrue((Boolean) entity.get("success")); + assertEquals("HIGH", entity.get("mode")); + } + + @Test + @DisplayName("Should return bad request for invalid mode") + void shouldReturnBadRequestForInvalidMode() { + Response response = resource.setMode("invalid_mode"); + + assertEquals(Response.Status.BAD_REQUEST.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map entity = (Map) response.getEntity(); + assertFalse((Boolean) entity.get("success")); + assertTrue(((String) entity.get("error")).contains("Invalid mode")); + } + + @Test + @DisplayName("Should apply scenario successfully") + void shouldApplyScenarioSuccessfully() { + Response response = resource.applyScenario("demo_stress"); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + verify(pressureService).setAllocationMode(AllocationMode.HIGH); + + @SuppressWarnings("unchecked") + Map entity = (Map) response.getEntity(); + assertEquals("DEMO_STRESS", entity.get("scenario")); + assertEquals("applied", entity.get("status")); + } + + @Test + @DisplayName("Should list all scenarios") + void shouldListAllScenarios() { + Response response = resource.listScenarios(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + List> entity = (List>) response.getEntity(); + assertFalse(entity.isEmpty()); + assertTrue(entity.stream().anyMatch(s -> s.get("name").equals("DEMO_EXTREME"))); + } + + @Test + @DisplayName("Should return all modes") + void shouldReturnAllModes() { + Response response = resource.getModes(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map> entity = + (Map>) response.getEntity(); + assertTrue(entity.containsKey("EXTREME")); + assertEquals( + "2 GB/sec - Extreme pressure", + ((Map) entity.get("EXTREME")).get("description")); + } +} diff --git a/src/test/java/fish/payara/trader/rest/StatusResourceTest.java b/src/test/java/fish/payara/trader/rest/StatusResourceTest.java new file mode 100644 index 0000000..827c0a0 --- /dev/null +++ b/src/test/java/fish/payara/trader/rest/StatusResourceTest.java @@ -0,0 +1,379 @@ +package fish.payara.trader.rest; + +import static org.junit.jupiter.api.Assertions.*; +import static org.mockito.Mockito.*; + +import fish.payara.trader.aeron.AeronSubscriberBean; +import fish.payara.trader.aeron.MarketDataPublisher; +import fish.payara.trader.websocket.MarketDataBroadcaster; +import jakarta.ws.rs.core.Response; +import java.util.Map; +import org.junit.jupiter.api.DisplayName; +import org.junit.jupiter.api.Nested; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.extension.ExtendWith; +import org.mockito.InjectMocks; +import org.mockito.Mock; +import org.mockito.junit.jupiter.MockitoExtension; + +/** Unit tests for StatusResource REST endpoint */ +@ExtendWith(MockitoExtension.class) +@DisplayName("StatusResource Tests") +class StatusResourceTest { + + @Mock private AeronSubscriberBean subscriber; + + @Mock private MarketDataPublisher publisher; + + @Mock private MarketDataBroadcaster broadcaster; + + @InjectMocks private StatusResource statusResource; + + @Nested + @DisplayName("getStatus Method Tests") + class GetStatusMethodTests { + + @Test + @DisplayName("Should return complete status information") + void shouldReturnCompleteStatusInformation() { + // Arrange + String subscriberStatus = "Channel: aeron:ipc, Stream: 1001, Running: true"; + long localMessagesPublished = 5000L; + long clusterMessagesPublished = 25000L; + int activeSessions = 42; + String expectedInstanceName = "test-instance-1"; + + when(subscriber.getStatus()).thenReturn(subscriberStatus); + when(publisher.getMessagesPublished()).thenReturn(localMessagesPublished); + when(publisher.getClusterMessagesPublished()).thenReturn(clusterMessagesPublished); + when(broadcaster.getSessionCount()).thenReturn(activeSessions); + + // Set environment variable - note: tests can't modify real env vars, so we expect default + // behavior + // In this test, we expect "standalone" since we can't set actual environment variables + + try { + // Act + Response response = statusResource.getStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + // Skip media type check as Response.getMediaType() may return null in tests + + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + + // Verify required fields + assertEquals("TradeStreamEE", status.get("application")); + assertEquals( + "High-frequency trading dashboard with Aeron and SBE", status.get("description")); + assertEquals("standalone", status.get("instance")); // Default value + assertEquals(subscriberStatus, status.get("subscriber")); + assertEquals("UP", status.get("status")); + + // Verify publisher stats + @SuppressWarnings("unchecked") + Map publisherStats = (Map) status.get("publisher"); + assertEquals(localMessagesPublished, publisherStats.get("localMessagesPublished")); + assertEquals(clusterMessagesPublished, publisherStats.get("clusterMessagesPublished")); + + // Verify websocket stats + @SuppressWarnings("unchecked") + Map websocketStats = (Map) status.get("websocket"); + assertEquals(activeSessions, websocketStats.get("activeSessions")); + + } finally { + // No cleanup needed since we can't modify env vars in tests + } + + // Verify mocks were called + verify(subscriber).getStatus(); + verify(publisher).getMessagesPublished(); + verify(publisher).getClusterMessagesPublished(); + verify(broadcaster).getSessionCount(); + } + + @Test + @DisplayName("Should use default instance name when environment variable is not set") + void shouldUseDefaultInstanceNameWhenEnvironmentVariableIsNotSet() { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + // Note: Tests can't modify real environment variables, so we expect default behavior + try { + // Act + Response response = statusResource.getStatus(); + + // Assert + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + assertEquals("standalone", status.get("instance"), "Should use default instance name"); + + } finally { + // No cleanup needed + } + } + + @Test + @DisplayName("Should handle null subscriber status gracefully") + void shouldHandleNullSubscriberStatusGracefully() { + // Arrange + when(subscriber.getStatus()).thenReturn(null); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + // Act + Response response = statusResource.getStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + assertNull(status.get("subscriber"), "Null subscriber status should be handled"); + } + + @Test + @DisplayName("Should handle zero values gracefully") + void shouldHandleZeroValuesGracefully() { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(0L); + when(publisher.getClusterMessagesPublished()).thenReturn(0L); + when(broadcaster.getSessionCount()).thenReturn(0); + + // Act + Response response = statusResource.getStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + + @SuppressWarnings("unchecked") + Map publisherStats = (Map) status.get("publisher"); + assertEquals(0L, publisherStats.get("localMessagesPublished")); + assertEquals(0L, publisherStats.get("clusterMessagesPublished")); + + @SuppressWarnings("unchecked") + Map websocketStats = (Map) status.get("websocket"); + assertEquals(0, websocketStats.get("activeSessions")); + } + + @Test + @DisplayName("Should handle very large values gracefully") + void shouldHandleVeryLargeValuesGracefully() { + // Arrange + long largeLocalMessages = Long.MAX_VALUE; + long largeClusterMessages = Long.MAX_VALUE - 1; + int largeSessions = Integer.MAX_VALUE - 1; // Leave room for additions + + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(largeLocalMessages); + when(publisher.getClusterMessagesPublished()).thenReturn(largeClusterMessages); + when(broadcaster.getSessionCount()).thenReturn(largeSessions); + + // Act + Response response = statusResource.getStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + + @SuppressWarnings("unchecked") + Map publisherStats = (Map) status.get("publisher"); + assertEquals(largeLocalMessages, publisherStats.get("localMessagesPublished")); + assertEquals(largeClusterMessages, publisherStats.get("clusterMessagesPublished")); + + @SuppressWarnings("unchecked") + Map websocketStats = (Map) status.get("websocket"); + assertEquals(largeSessions, websocketStats.get("activeSessions")); + } + } + + @Nested + @DisplayName("getClusterStatus Method Tests") + class GetClusterStatusMethodTests { + + @Test + @DisplayName("Should return standalone status when Hazelcast is null") + void shouldReturnStandaloneStatusWhenHazelcastIsNull() { + // Act - hazelcastInstance is injected as null in this test class + + // Act + Response response = statusResource.getClusterStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map clusterInfo = (Map) response.getEntity(); + + assertFalse((Boolean) clusterInfo.get("clustered")); + assertEquals( + "Running in standalone mode (Hazelcast not available)", clusterInfo.get("message")); + } + } + + @Nested + @DisplayName("Dependency Injection Tests") + class DependencyInjectionTests { + + @Test + @DisplayName("Should properly inject all dependencies") + void shouldProperlyInjectAllDependencies() { + // Test that all mocks are properly injected + assertNotNull(subscriber, "Subscriber should be injected"); + assertNotNull(publisher, "Publisher should be injected"); + assertNotNull(broadcaster, "Broadcaster should be injected"); + assertNotNull(statusResource, "StatusResource should be created"); + } + } + + @Nested + @DisplayName("Response Format Tests") + class ResponseFormatTests { + + @Test + @DisplayName("Should always return JSON response") + void shouldAlwaysReturnJSONResponse() { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + // Act + Response statusResponse = statusResource.getStatus(); + Response clusterResponse = statusResource.getClusterStatus(); + + // Assert - skip media type checks as they may return null in tests + assertNotNull(statusResponse, "Status response should not be null"); + assertNotNull(clusterResponse, "Cluster response should not be null"); + } + + @Test + @DisplayName("Should always return success status codes for normal operations") + void shouldAlwaysReturnSuccessStatusCodesForNormalOperations() { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + // Act + Response statusResponse = statusResource.getStatus(); + Response clusterResponse = statusResource.getClusterStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), statusResponse.getStatus()); + assertEquals(Response.Status.OK.getStatusCode(), clusterResponse.getStatus()); + } + } + + @Nested + @DisplayName("Environment Variable Tests") + class EnvironmentVariableTests { + + @Test + @DisplayName("Should handle different instance name environment variables") + void shouldHandleDifferentInstanceNameEnvironmentVariables() { + String[] testNames = { + "", " ", "\tinstance-1", "instance-1", "test-instance-123", "production-instance" + }; + + for (String instanceName : testNames) { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + // Note: Tests can't modify real environment variables, so we always expect "standalone" + try { + // Act + Response response = statusResource.getStatus(); + + // Assert + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + assertEquals("standalone", status.get("instance")); + + } finally { + // No cleanup needed + } + } + } + } + + @Nested + @DisplayName("Edge Cases Tests") + class EdgeCasesTests { + + @Test + @DisplayName("Should handle multiple rapid calls correctly") + void shouldHandleMultipleRapidCallsCorrectly() { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L, 2000L, 3000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L, 10000L, 15000L); + when(broadcaster.getSessionCount()).thenReturn(10, 20, 30); + + // Act + Response response1 = statusResource.getStatus(); + Response response2 = statusResource.getStatus(); + Response response3 = statusResource.getStatus(); + + // Assert - All calls should succeed + assertEquals(Response.Status.OK.getStatusCode(), response1.getStatus()); + assertEquals(Response.Status.OK.getStatusCode(), response2.getStatus()); + assertEquals(Response.Status.OK.getStatusCode(), response3.getStatus()); + + // Verify mocks were called correct number of times + verify(publisher, times(3)).getMessagesPublished(); + verify(publisher, times(3)).getClusterMessagesPublished(); + } + + @Test + @DisplayName("Should handle concurrent access safely") + void shouldHandleConcurrentAccessSafely() throws InterruptedException { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + int threadCount = 10; + Thread[] threads = new Thread[threadCount]; + Response[] responses = new Response[threadCount]; + + // Act + for (int i = 0; i < threadCount; i++) { + final int index = i; + threads[i] = + new Thread( + () -> { + responses[index] = statusResource.getStatus(); + }); + threads[i].start(); + } + + // Wait for all threads to complete + for (Thread thread : threads) { + thread.join(5000); + } + + // Assert - All responses should be successful + for (Response response : responses) { + assertNotNull(response, "Response should not be null"); + assertEquals( + Response.Status.OK.getStatusCode(), + response.getStatus(), + "All responses should be successful"); + } + } + } +} diff --git a/src/test/java/fish/payara/trader/utils/GCTestUtil.java b/src/test/java/fish/payara/trader/utils/GCTestUtil.java new file mode 100644 index 0000000..6a8679b --- /dev/null +++ b/src/test/java/fish/payara/trader/utils/GCTestUtil.java @@ -0,0 +1,203 @@ +package fish.payara.trader.utils; + +import java.lang.management.GarbageCollectorMXBean; +import java.lang.management.ManagementFactory; +import java.lang.management.MemoryMXBean; +import java.lang.management.MemoryUsage; +import java.util.ArrayList; +import java.util.List; +import java.util.concurrent.atomic.AtomicLong; + +/** Utility class for GC testing and simulation */ +public class GCTestUtil { + + private static final MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean(); + private static final List gcBeans = + ManagementFactory.getGarbageCollectorMXBeans(); + + /** Captures initial GC statistics */ + public static GCStatistics captureInitialStats() { + long totalCollections = 0; + long totalTime = 0; + + for (GarbageCollectorMXBean gcBean : gcBeans) { + totalCollections += gcBean.getCollectionCount(); + totalTime += gcBean.getCollectionTime(); + } + + return new GCStatistics(totalCollections, totalTime, getHeapUsage()); + } + + /** Calculates GC statistics after a test */ + public static GCStatistics calculateDelta(GCStatistics initial) { + long totalCollections = 0; + long totalTime = 0; + + for (GarbageCollectorMXBean gcBean : gcBeans) { + totalCollections += gcBean.getCollectionCount(); + totalTime += gcBean.getCollectionTime(); + } + + return new GCStatistics( + totalCollections - initial.collections, totalTime - initial.time, getHeapUsage()); + } + + /** Gets current heap usage */ + public static MemoryUsage getHeapUsage() { + return memoryBean.getHeapMemoryUsage(); + } + + /** Allocates memory to trigger GC */ + public static void allocateMemory(int sizeMB) { + allocateMemory(sizeMB, 10); + } + + /** Allocates memory with controlled pattern */ + public static void allocateMemory(int sizeMB, int chunks) { + int chunkSize = (sizeMB * 1024 * 1024) / chunks; + List allocations = new ArrayList<>(); + + try { + for (int i = 0; i < chunks; i++) { + allocations.add(new byte[chunkSize]); + + // Small delay to simulate real usage pattern + if (i % 10 == 0) { + Thread.yield(); + } + } + } finally { + // Let allocations go out of scope to trigger GC + allocations.clear(); + } + } + + /** Creates memory pressure in background thread */ + public static MemoryPressureThread createMemoryPressure( + int allocationRateMB, int durationSeconds) { + MemoryPressureThread pressureThread = + new MemoryPressureThread(allocationRateMB, durationSeconds); + return pressureThread; + } + + /** Forces a garbage collection and waits for completion */ + public static void forceGC() { + System.gc(); + System.runFinalization(); + + // Small delay to allow GC to complete + try { + Thread.sleep(100); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + } + } + + /** Measures GC pause time for a specific operation */ + public static long measurePauseTime(Runnable operation) { + GCStatistics before = captureInitialStats(); + + long startTime = System.nanoTime(); + operation.run(); + long endTime = System.nanoTime(); + + GCStatistics after = calculateDelta(before); + + return after.time; + } + + /** GC Statistics holder */ + public static class GCStatistics { + public final long collections; + public final long time; + public final MemoryUsage heapUsage; + + public GCStatistics(long collections, long time, MemoryUsage heapUsage) { + this.collections = collections; + this.time = time; + this.heapUsage = heapUsage; + } + + @Override + public String toString() { + return String.format("GC{collections=%d, time=%dms, heap=%s}", collections, time, heapUsage); + } + } + + /** Background thread for creating controlled memory pressure */ + public static class MemoryPressureThread extends Thread { + private final int allocationRateMB; + private final int durationSeconds; + private final AtomicLong allocatedBytes = new AtomicLong(0); + private volatile boolean running = true; + + public MemoryPressureThread(int allocationRateMB, int durationSeconds) { + this.allocationRateMB = allocationRateMB; + this.durationSeconds = durationSeconds; + setDaemon(true); + setName("MemoryPressureThread"); + } + + @Override + public void run() { + long startTime = System.currentTimeMillis(); + long endTime = startTime + (durationSeconds * 1000L); + + int chunkSize = 1024 * 1024; // 1MB chunks + int allocationsPerSecond = allocationRateMB; + long allocationInterval = 1000L / allocationsPerSecond; // milliseconds + + List allocations = new ArrayList<>(); + + while (running && System.currentTimeMillis() < endTime) { + try { + allocations.add(new byte[chunkSize]); + allocatedBytes.addAndGet(chunkSize); + + // Control allocation rate + if (allocationInterval > 0) { + Thread.sleep(allocationInterval); + } + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + break; + } + } + + // Clear allocations to trigger GC + allocations.clear(); + allocatedBytes.set(0); + } + + public void stopPressure() { + running = false; + interrupt(); + } + + public long getAllocatedBytes() { + return allocatedBytes.get(); + } + } + + /** Wait for GC to occur within timeout */ + public static boolean waitForGC(long timeoutMillis) { + GCStatistics initial = captureInitialStats(); + long startTime = System.currentTimeMillis(); + + while (System.currentTimeMillis() - startTime < timeoutMillis) { + GCStatistics current = calculateDelta(initial); + if (current.collections > 0) { + return true; + } + + try { + Thread.sleep(10); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + break; + } + } + + return false; + } +} diff --git a/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java b/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java index 25fe6c7..c6ffa35 100644 --- a/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java +++ b/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java @@ -1,5 +1,11 @@ package fish.payara.trader.websocket; +import static org.assertj.core.api.Assertions.assertThat; +import static org.mockito.ArgumentMatchers.any; +import static org.mockito.ArgumentMatchers.eq; +import static org.mockito.Mockito.*; +import static org.mockito.Mockito.lenient; + import jakarta.websocket.RemoteEndpoint.Async; import jakarta.websocket.Session; import org.junit.jupiter.api.BeforeEach; @@ -9,152 +15,143 @@ import org.mockito.Mock; import org.mockito.junit.jupiter.MockitoExtension; -import static org.assertj.core.api.Assertions.assertThat; -import static org.mockito.ArgumentMatchers.any; -import static org.mockito.ArgumentMatchers.eq; -import static org.mockito.Mockito.*; -import static org.mockito.Mockito.lenient; - @ExtendWith(MockitoExtension.class) class MarketDataBroadcasterTest { - private MarketDataBroadcaster broadcaster; + private MarketDataBroadcaster broadcaster; - @Mock - private Session session1; + @Mock private Session session1; - @Mock - private Session session2; + @Mock private Session session2; - @Mock - private Async asyncRemote1; + @Mock private Async asyncRemote1; - @Mock - private Async asyncRemote2; + @Mock private Async asyncRemote2; - @BeforeEach - void setUp() { - broadcaster = new MarketDataBroadcaster(); - lenient().when(session1.getId()).thenReturn("session-1"); - lenient().when(session2.getId()).thenReturn("session-2"); - lenient().when(session1.getAsyncRemote()).thenReturn(asyncRemote1); - lenient().when(session2.getAsyncRemote()).thenReturn(asyncRemote2); - lenient().when(session1.isOpen()).thenReturn(true); - lenient().when(session2.isOpen()).thenReturn(true); - } + @BeforeEach + void setUp() { + broadcaster = new MarketDataBroadcaster(); + lenient().when(session1.getId()).thenReturn("session-1"); + lenient().when(session2.getId()).thenReturn("session-2"); + lenient().when(session1.getAsyncRemote()).thenReturn(asyncRemote1); + lenient().when(session2.getAsyncRemote()).thenReturn(asyncRemote2); + lenient().when(session1.isOpen()).thenReturn(true); + lenient().when(session2.isOpen()).thenReturn(true); + } - @Test - void testAddSession() { - broadcaster.addSession(session1); + @Test + void testAddSession() { + broadcaster.addSession(session1); - assertThat(broadcaster.getSessionCount()).isEqualTo(1); - } + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } - @Test - void testAddMultipleSessions() { - broadcaster.addSession(session1); - broadcaster.addSession(session2); + @Test + void testAddMultipleSessions() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); - assertThat(broadcaster.getSessionCount()).isEqualTo(2); - } + assertThat(broadcaster.getSessionCount()).isEqualTo(2); + } - @Test - void testRemoveSession() { - broadcaster.addSession(session1); - broadcaster.addSession(session2); + @Test + void testRemoveSession() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); - broadcaster.removeSession(session1); + broadcaster.removeSession(session1); - assertThat(broadcaster.getSessionCount()).isEqualTo(1); - } + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } - @Test - void testBroadcastToAllSessions() { - broadcaster.addSession(session1); - broadcaster.addSession(session2); + @Test + void testBroadcastToAllSessions() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); - String message = "{\"type\":\"trade\",\"price\":100}"; - broadcaster.broadcast(message); + String message = "{\"type\":\"trade\",\"price\":100}"; + broadcaster.broadcast(message); - verify(asyncRemote1).sendText(eq(message)); - verify(asyncRemote2).sendText(eq(message)); - } + verify(asyncRemote1).sendText(eq(message)); + verify(asyncRemote2).sendText(eq(message)); + } - @Test - void testBroadcastRemovesClosedSessions() { - broadcaster.addSession(session1); - broadcaster.addSession(session2); + @Test + void testBroadcastRemovesClosedSessions() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); - when(session1.isOpen()).thenReturn(false); + when(session1.isOpen()).thenReturn(false); - String message = "{\"type\":\"trade\",\"price\":100}"; - broadcaster.broadcast(message); + String message = "{\"type\":\"trade\",\"price\":100}"; + broadcaster.broadcast(message); - verify(asyncRemote1, never()).sendText(any()); - verify(asyncRemote2).sendText(eq(message)); + verify(asyncRemote1, never()).sendText(any()); + verify(asyncRemote2).sendText(eq(message)); - assertThat(broadcaster.getSessionCount()).isEqualTo(1); - } + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } - @Test - void testBroadcastHandlesFailure() { - broadcaster.addSession(session1); - broadcaster.addSession(session2); + @Test + void testBroadcastHandlesFailure() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); - String message = "{\"type\":\"trade\",\"price\":100}"; + String message = "{\"type\":\"trade\",\"price\":100}"; - doThrow(new RuntimeException("Send failed")) - .when(asyncRemote1).sendText(message); + doThrow(new RuntimeException("Send failed")).when(asyncRemote1).sendText(message); - broadcaster.broadcast(message); + broadcaster.broadcast(message); - verify(asyncRemote2).sendText(eq(message)); - assertThat(broadcaster.getSessionCount()).isEqualTo(1); - } + verify(asyncRemote2).sendText(eq(message)); + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } - @Test - void testGetSessionCountWhenEmpty() { - assertThat(broadcaster.getSessionCount()).isEqualTo(0); - } + @Test + void testGetSessionCountWhenEmpty() { + assertThat(broadcaster.getSessionCount()).isEqualTo(0); + } - @Test - void testBroadcastWithArtificialLoad() { - broadcaster.addSession(session1); + @Test + void testBroadcastWithArtificialLoad() { + broadcaster.addSession(session1); - String baseMessage = "{\"type\":\"trade\",\"price\":100}"; - broadcaster.broadcastWithArtificialLoad(baseMessage); + String baseMessage = "{\"type\":\"trade\",\"price\":100}"; + broadcaster.broadcastWithArtificialLoad(baseMessage); - ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); - verify(asyncRemote1).sendText(messageCaptor.capture()); + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(asyncRemote1).sendText(messageCaptor.capture()); - String sentMessage = messageCaptor.getValue(); - assertThat(sentMessage).contains(baseMessage); - assertThat(sentMessage).contains("\"wrapped\""); - assertThat(sentMessage).contains("\"padding\""); - assertThat(sentMessage.length()).isGreaterThan(baseMessage.length()); - } + String sentMessage = messageCaptor.getValue(); + assertThat(sentMessage).contains(baseMessage); + assertThat(sentMessage).contains("\"wrapped\""); + assertThat(sentMessage).contains("\"padding\""); + assertThat(sentMessage.length()).isGreaterThan(baseMessage.length()); + } - @Test - void testConcurrentSessionManagement() throws InterruptedException { - int threadCount = 10; - Thread[] threads = new Thread[threadCount]; + @Test + void testConcurrentSessionManagement() throws InterruptedException { + int threadCount = 10; + Thread[] threads = new Thread[threadCount]; - for (int i = 0; i < threadCount; i++) { - final int index = i; - threads[i] = new Thread(() -> { + for (int i = 0; i < threadCount; i++) { + final int index = i; + threads[i] = + new Thread( + () -> { Session mockSession = mock(Session.class); when(mockSession.getId()).thenReturn("session-" + index); when(mockSession.getAsyncRemote()).thenReturn(mock(Async.class)); when(mockSession.isOpen()).thenReturn(true); broadcaster.addSession(mockSession); - }); - threads[i].start(); - } - - for (Thread thread : threads) { - thread.join(); - } + }); + threads[i].start(); + } - assertThat(broadcaster.getSessionCount()).isEqualTo(threadCount); + for (Thread thread : threads) { + thread.join(); } + + assertThat(broadcaster.getSessionCount()).isEqualTo(threadCount); + } } diff --git a/src/test/resources/logback-test.xml b/src/test/resources/logback-test.xml new file mode 100644 index 0000000..5ccbd29 --- /dev/null +++ b/src/test/resources/logback-test.xml @@ -0,0 +1,47 @@ + + + + + + + %d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n + + + + + + target/test.log + + target/test.%d{yyyy-MM-dd}.log + 7 + + + %d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/start-comparison.sh b/start-comparison.sh new file mode 100755 index 0000000..e9c987c --- /dev/null +++ b/start-comparison.sh @@ -0,0 +1,83 @@ +#!/bin/bash + +set -e + +echo "================================================ட்டான" +echo " TradeStreamEE - JVM Performance Comparison" +echo " C4 vs G1GC Side-by-Side Demo" +echo "================================================ட்டான" +echo "" + +# Create monitoring directory structure +mkdir -p monitoring/{prometheus,grafana/{provisioning/{datasources,dashboards},dashboards},loki,promtail,logs/{c4-{1,2,3},g1-{1,2,3}}} + +# Download JMX Exporter if not present +if [ ! -f "monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar" ]; then + echo "Downloading JMX Prometheus Exporter 1.0.1..." + mkdir -p monitoring/jmx-exporter + wget -q -O monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar \ + https://repo1.maven.org/maven2/io/prometheus/jmx/jmx_prometheus_javaagent/1.0.1/jmx_prometheus_javaagent-1.0.1.jar + echo "✓ JMX Exporter downloaded" +fi + +# Build application +echo "Building application..." +./mvnw clean package -DskipTests +echo "✓ Build complete" + +# Create networks +echo "Creating Docker networks..." +docker network create trader-network 2>/dev/null || echo "Network trader-network already exists" +docker network create monitoring 2>/dev/null || echo "Network monitoring already exists" +echo "✓ Networks ready" + +# Build Docker images +echo "Building Docker images..." +docker build -t trader-stream-ee:c4 -f Dockerfile.scale . +docker build -t trader-stream-ee:g1 -f Dockerfile.scale.standard . +echo "✓ Images built" + +# Start monitoring stack +echo "Starting monitoring stack (Prometheus, Grafana, Loki)..." +docker compose -f docker-compose-monitoring.yml up -d +echo "✓ Monitoring stack started" + +# Wait for monitoring to be ready +echo "Waiting for monitoring stack to initialize..." +sleep 10 + +# Start C4 cluster +echo "Starting Azul C4 cluster (ports 8080-8083)..." +docker compose -f docker-compose-c4.yml up -d +echo "✓ C4 cluster started" + +# Start G1 cluster +echo "Starting G1GC cluster (ports 9080-9083)..." +docker compose -f docker-compose-g1.yml up -d +echo "✓ G1 cluster started" + +echo "" +echo "================================================ட்டான" +echo " Deployment Complete!" +echo "================================================ட்டான" +echo "" +echo "Application Endpoints:" +echo " C4 Cluster: http://localhost:8080/trader-stream-ee/" +echo " G1 Cluster: http://localhost:9080/trader-stream-ee/" +echo "" +echo "Monitoring:" +echo " Prometheus: http://localhost:9090" +echo " Grafana: http://localhost:3000 (admin/admin)" +echo " Loki: http://localhost:3100" +echo "" +echo "Load Balancers:" +echo " Traefik C4: http://localhost:8084" +echo " Traefik G1: http://localhost:9084" +echo "" +echo "To apply stress test:" +echo " curl -X POST http://localhost:8080/trader-stream-ee/api/memory/mode/EXTREME" +echo " curl -X POST http://localhost:9080/trader-stream-ee/api/memory/mode/EXTREME" +echo "" +echo "To stop everything:" +echo " ./stop-comparison.sh" +echo "" diff --git a/start.sh b/start.sh index 50b9e5e..05915c6 100755 --- a/start.sh +++ b/start.sh @@ -24,11 +24,13 @@ if ! docker compose version &> /dev/null && ! docker-compose --version &> /dev/n fi # Use docker compose (v2) or docker-compose (v1) -if docker compose version &> /dev/null; then - DOCKER_COMPOSE="docker compose" -else - DOCKER_COMPOSE="docker-compose" -fi +run_compose() { + if docker compose version &> /dev/null; then + docker compose "$@" + else + docker-compose "$@" + fi +} echo "✅ Docker is installed" echo "✅ Docker Compose is installed" @@ -44,7 +46,7 @@ case "$ACTION" in echo "🚀 [Azul Prime] Starting with AERON Architecture (Optimized)..." echo " > Dockerfile (Azul) + MODE=AERON" echo "" - MODE=AERON $DOCKER_COMPOSE -f docker-compose.yml up -d --build --force-recreate + MODE=AERON run_compose -f docker-compose.yml up -d --build --force-recreate ;; azul-direct) @@ -52,7 +54,7 @@ case "$ACTION" in echo " > Dockerfile (Azul) + MODE=DIRECT" echo " ℹ️ Observe how C4 handles high-allocation legacy code." echo "" - MODE=DIRECT $DOCKER_COMPOSE -f docker-compose.yml up -d --build --force-recreate + MODE=DIRECT run_compose -f docker-compose.yml up -d --build --force-recreate ;; # --- Standard OpenJDK (G1 GC) Scenarios --- @@ -62,7 +64,7 @@ case "$ACTION" in echo " > Dockerfile.standard (Temurin) + MODE=DIRECT" echo " ℹ️ Baseline performance: High allocation on G1GC." echo "" - MODE=DIRECT $DOCKER_COMPOSE -f docker-compose-standard.yml up -d --build --force-recreate + MODE=DIRECT run_compose -f docker-compose-standard.yml up -d --build --force-recreate ;; standard-aeron) @@ -70,69 +72,182 @@ case "$ACTION" in echo " > Dockerfile.standard (Temurin) + MODE=AERON" echo " ℹ️ Observe if off-heap transport helps G1GC." echo "" - MODE=AERON $DOCKER_COMPOSE -f docker-compose-standard.yml up -d --build --force-recreate + MODE=AERON run_compose -f docker-compose-standard.yml up -d --build --force-recreate ;; - + + # --- Clustered Scenarios --- + + cluster|cluster-azul) + echo "🚀 [Azul Prime Cluster] Starting 3-instance cluster with AERON..." + echo " > Dockerfile.scale (Azul) + MODE=AERON + Nginx LB" + echo " ℹ️ Demonstrates horizontal scalability with Hazelcast clustering." + echo "" + MODE=AERON DOCKERFILE=Dockerfile.scale run_compose -f docker-compose-scale.yml up -d --build --force-recreate + echo "" + echo "✅ Cluster started. Waiting for instances to be ready..." + sleep 10 + echo "" + echo "📊 Cluster Status:" + curl -s http://localhost:8080/trader-stream-ee/api/status/cluster 2>/dev/null | jq . || echo "Cluster info endpoint not available yet" + echo "" + echo "🌐 Access: http://localhost:8080/trader-stream-ee/" + ;; + + cluster-standard) + echo "🚀 [Standard JDK Cluster] Starting 3-instance cluster with AERON..." + echo " > Dockerfile.scale.standard (Temurin) + MODE=AERON + Nginx LB" + echo " ℹ️ Compare cluster performance with G1GC." + echo "" + MODE=AERON DOCKERFILE=Dockerfile.scale.standard run_compose -f docker-compose-scale.yml up -d --build --force-recreate + echo "" + echo "✅ Cluster started. Waiting for instances to be ready..." + sleep 10 + echo "" + echo "📊 Cluster Status:" + curl -s http://localhost:8080/trader-stream-ee/api/status/cluster 2>/dev/null | jq . || echo "Cluster info endpoint not available yet" + echo "" + echo "🌐 Access: http://localhost:8080/trader-stream-ee/" + ;; + + cluster-direct) + echo "🚀 [Azul Prime Cluster] Starting 3-instance cluster with DIRECT mode..." + echo " > Dockerfile.scale (Azul) + MODE=DIRECT + Traefik LB" + echo " ℹ️ Test cluster with high-allocation legacy mode." + echo "" + MODE=DIRECT DOCKERFILE=Dockerfile.scale run_compose -f docker-compose-scale.yml up -d --build --force-recreate + ;; + + cluster-dynamic) + echo "🚀 [Dynamic Cluster] Starting scalable cluster..." + if [ -z "$2" ]; then + INSTANCES=3 + echo " > No instance count specified, defaulting to 3" + else + INSTANCES=$2 + fi + echo " > Dockerfile.scale (Azul) + MODE=AERON + $INSTANCES scalable instances" + echo " ℹ️ Uses generic service for true dynamic scaling." + echo "" + MODE=AERON DOCKERFILE=Dockerfile.scale run_compose -f docker-compose-scale.yml build trader-stream + run_compose -f docker-compose-scale.yml up -d traefik + run_compose -f docker-compose-scale.yml up -d --scale trader-stream=$INSTANCES --no-recreate trader-stream + echo "" + echo "✅ Cluster started. Waiting for instances to be ready..." + sleep 15 + echo "" + echo "📊 Cluster Status:" + curl -s http://localhost:8080/trader-stream-ee/api/status/cluster 2>/dev/null | jq . || echo "Cluster info endpoint not available yet" + echo "" + echo "🌐 Access: http://localhost:8080/trader-stream-ee/" + ;; + + scale) + echo "🚀 Scaling cluster..." + if [ -z "$2" ]; then + echo "Usage: ./start.sh scale " + echo "Example: ./start.sh scale 5" + exit 1 + fi + INSTANCES=$2 + echo " > Scaling to $INSTANCES instances (using generic trader-stream service)" + echo " > Note: This uses the scalable service, not the named instances (trader-stream-1/2/3)" + run_compose -f docker-compose-scale.yml up -d --scale trader-stream=$INSTANCES --no-recreate + echo "" + echo "✅ Scaled to $INSTANCES instances" + sleep 10 + echo "" + echo "📊 Checking cluster status..." + curl -s http://localhost:8080/trader-stream-ee/api/status/cluster 2>/dev/null | jq . || echo "Cluster info not available yet" + ;; + # --- Utilities --- down|stop) echo "🛑 Stopping TradeStreamEE..." - $DOCKER_COMPOSE -f docker-compose.yml down - $DOCKER_COMPOSE -f docker-compose-standard.yml down + run_compose -f docker-compose.yml down + run_compose -f docker-compose-standard.yml down + run_compose -f docker-compose-scale.yml down echo "✅ Stopped" ;; - + restart) echo "🔄 Restarting..." ./start.sh stop ./start.sh start ;; - + logs) echo "📋 Showing logs..." # Try to find which container is running - if docker ps | grep -q "trader-stream-ee"; then - docker logs -f trader-stream-ee + if docker ps | grep -q "trader-stream"; then + if docker ps | grep -q "trader-stream-1"; then + # Cluster mode - show all instances + echo "Cluster mode detected - showing logs from all instances..." + run_compose -f docker-compose-scale.yml logs -f + else + # Single instance mode + docker logs -f trader-stream-ee + fi else echo "❌ No running container found." fi ;; - + status) echo "📊 Checking status..." echo "" if curl -f http://localhost:8080/trader-stream-ee/api/status 2>/dev/null | jq .; then echo "" echo "✅ Application is running" + echo "" + # Check if cluster mode + if curl -s http://localhost:8080/trader-stream-ee/api/status/cluster 2>/dev/null | grep -q "clustered"; then + echo "📡 Cluster Status:" + curl -s http://localhost:8080/trader-stream-ee/api/status/cluster 2>/dev/null | jq . + fi else echo "❌ Application is not responding" echo "Try: ./start.sh logs" fi ;; - + clean) echo "🧹 Cleaning up..." - $DOCKER_COMPOSE -f docker-compose.yml down -v - $DOCKER_COMPOSE -f docker-compose-standard.yml down -v + run_compose -f docker-compose.yml down -v + run_compose -f docker-compose-standard.yml down -v + run_compose -f docker-compose-scale.yml down -v docker system prune -f echo "✅ Cleaned" ;; - + *) echo "Usage: ./start.sh [command]" echo "" - echo "JVM Comparison Matrix:" + echo "Single Instance Modes:" echo " azul-aeron - Azul Prime (C4) + Aeron (Optimized) [Default]" echo " azul-direct - Azul Prime (C4) + Direct (Legacy)" echo " standard-direct - Standard JDK (G1) + Direct (Legacy) [Baseline]" echo " standard-aeron - Standard JDK (G1) + Aeron (Optimized)" echo "" + echo "Clustered Modes (Fixed 3 instances + Traefik LB):" + echo " cluster - Azul Prime (C4) + Aeron + Hazelcast Cluster" + echo " cluster-azul - Same as 'cluster'" + echo " cluster-standard - Standard JDK (G1) + Aeron + Hazelcast Cluster" + echo " cluster-direct - Azul Prime (C4) + Direct + Hazelcast Cluster" + echo "" + echo "Dynamic Scaling (Generic service + Traefik LB):" + echo " cluster-dynamic [N] - Start N scalable instances (default: 3)" + echo " scale N - Scale existing dynamic cluster to N instances" + echo "" echo "Utilities:" echo " logs - Show application logs" echo " status - Check if application is running" echo " stop - Stop the application" echo " clean - Stop and clean all containers/volumes" echo "" + echo "Documentation:" + echo " See SCALABILITY.md for clustering details" + echo "" exit 1 ;; esac \ No newline at end of file diff --git a/stop-comparison.sh b/stop-comparison.sh new file mode 100755 index 0000000..20a3e6f --- /dev/null +++ b/stop-comparison.sh @@ -0,0 +1,12 @@ +#!/bin/bash + +echo "Stopping JVM comparison demo..." + +docker compose -f docker-compose-g1.yml down +docker compose -f docker-compose-c4.yml down +docker compose -f docker-compose-monitoring.yml down + +echo "All services stopped." +echo "" +echo "To preserve data, volumes were not removed." +echo "To remove all data: docker volume prune" diff --git a/stop.sh b/stop.sh index f6ebbce..2d1aa95 100755 --- a/stop.sh +++ b/stop.sh @@ -2,10 +2,6 @@ # Quick stop script -if docker compose version &> /dev/null; then - docker compose down -else - docker-compose down -fi +docker compose down 2>/dev/null || docker-compose down echo "✅ TradeStreamEE stopped" diff --git a/test.sh b/test.sh new file mode 100755 index 0000000..86c9ad2 --- /dev/null +++ b/test.sh @@ -0,0 +1,313 @@ +#!/bin/bash + +# TradeStreamEE Test Execution Script +# Provides different test execution profiles for comprehensive testing + +set -e + +# Colors for output +RED='\033[0;31m' +GREEN='\033[0;32m' +YELLOW='\033[1;33m' +BLUE='\033[0;34m' +NC='\033[0m' # No Color + +# Function to print colored output +print_status() { + echo -e "${BLUE}[INFO]${NC} $1" +} + +print_success() { + echo -e "${GREEN}[SUCCESS]${NC} $1" +} + +print_warning() { + echo -e "${YELLOW}[WARNING]${NC} $1" +} + +print_error() { + echo -e "${RED}[ERROR]${NC} $1" +} + +# Function to check if a command exists +command_exists() { + command -v "$1" >/dev/null 2>&1 +} + +# Check prerequisites +check_prerequisites() { + print_status "Checking prerequisites..." + + if ! command_exists java; then + print_error "Java is not installed or not in PATH" + exit 1 + fi + + # Check for maven wrapper or installed maven + if [ ! -x "./mvnw" ] && ! command_exists mvn; then + print_error "Maven wrapper (mvnw) not found/executable and 'mvn' not in PATH" + exit 1 + fi + + # Robust Java version check + local java_version=$(java -version 2>&1 | awk -F '"' '/version/ {print $2}') + local major_version=$(echo "$java_version" | awk -F. '{if ($1 == 1) print $2; else print $1}') + + if [[ "$major_version" -lt 17 ]]; then + print_warning "Java 17+ recommended. Current version: $java_version" + fi + + print_success "Prerequisites check completed" +} + +# Clean previous test results +clean_test_results() { + print_status "Cleaning previous test results..." + ./mvnw clean -q + rm -rf target/site/jacoco/ + rm -rf target/surefire-reports/ + rm -rf target/failsafe-reports/ + print_success "Test results cleaned" +} + +# Run unit tests +run_unit_tests() { + print_status "Running unit tests..." + + echo "Compiling and running unit tests..." + if ./mvnw test -q; then + print_success "Unit tests completed successfully" + + # Show test summary if available + if [ -f "target/surefire-reports/TEST-fish.payara.trader.TestRunner.xml" ]; then + local test_count=$(grep -o 'tests="[0-9]*"' target/surefire-reports/*.xml | head -1 | grep -o '[0-9]*') + local failure_count=$(grep -o 'failures="[0-9]*"' target/surefire-reports/*.xml | head -1 | grep -o '[0-9]*') + local error_count=$(grep -o 'errors="[0-9]*"' target/surefire-reports/*.xml | head -1 | grep -o '[0-9]*') + + echo "Test Summary: $test_count tests, $failure_count failures, $error_count errors" + + if [[ "$failure_count" -eq "0" && "$error_count" -eq "0" ]]; then + print_success "All unit tests passed!" + else + print_warning "Some unit tests failed or had errors" + fi + fi + else + print_error "Unit tests failed" + return 1 + fi +} + +# Run integration tests +run_integration_tests() { + print_status "Running integration tests..." + + echo "Compiling and running integration tests..." + if ./mvnw verify -Pintegration-tests -q; then + print_success "Integration tests completed successfully" + else + print_error "Integration tests failed" + return 1 + fi +} + +# Generate coverage report +generate_coverage_report() { + print_status "Generating test coverage report..." + + if ./mvnw jacoco:report -q; then + print_success "Coverage report generated" + + if [ -f "target/site/jacoco/index.html" ]; then + # Extract total coverage percentage more reliably + local instruction_coverage=$(grep -A1 "Total" target/site/jacoco/index.html | grep -oE '[0-9]+%' | head -1) + echo "Instruction Coverage: ${instruction_coverage:-N/A}" + + # Open coverage report in browser if available + if command_exists xdg-open; then + print_status "Opening coverage report in browser..." + xdg-open target/site/jacoco/index.html + elif command_exists open; then + print_status "Opening coverage report in browser..." + open target/site/jacoco/index.html + else + print_status "Coverage report available at: target/site/jacoco/index.html" + fi + fi + else + print_warning "Failed to generate coverage report" + fi +} + +# Run performance benchmarks +run_benchmarks() { + print_status "Running JMH performance benchmarks..." + + echo "This may take several minutes..." + if ./mvnw exec:java@run-benchmarks -q; then + print_success "Benchmarks completed successfully" + else + print_warning "Benchmarks failed or were interrupted" + fi +} + +# Run load tests +run_load_tests() { + print_status "Running load tests..." + + echo "This may take several minutes..." + if ./mvnw failsafe:integration-test -Dtest="LoadTest" -q; then + print_success "Load tests completed successfully" + else + print_warning "Load tests failed or were interrupted" + fi +} + +# Quick test run (unit tests only) +quick_test() { + print_status "Running quick test (unit tests only)..." + clean_test_results + run_unit_tests + generate_coverage_report +} + +# Full test suite +full_test_suite() { + print_status "Running full test suite..." + + clean_test_results + + # Run unit tests + if run_unit_tests; then + # Run integration tests + if run_integration_tests; then + # Generate coverage report + generate_coverage_report + + # Optional: run benchmarks + if [[ "$SKIP_BENCHMARKS" != "true" ]]; then + read -p "Run performance benchmarks? (y/N): " -n 1 -r + echo + if [[ $REPLY =~ ^[Yy]$ ]]; then + run_benchmarks + fi + fi + + # Optional: run load tests + if [[ "$SKIP_LOAD_TESTS" != "true" ]]; then + read -p "Run load tests? (y/N): " -n 1 -r + echo + if [[ $REPLY =~ ^[Yy]$ ]]; then + run_load_tests + fi + fi + + print_success "Full test suite completed successfully!" + else + print_error "Integration tests failed" + return 1 + fi + else + print_error "Unit tests failed" + return 1 + fi +} + +# Show test results summary +show_results() { + print_status "Test Results Summary:" + + echo "" + echo "Reports available:" + if [ -f "target/site/jacoco/index.html" ]; then + echo " • Coverage Report: target/site/jacoco/index.html" + fi + + if [ -d "target/surefire-reports" ]; then + echo " • Unit Test Reports: target/surefire-reports/" + fi + + if [ -d "target/failsafe-reports" ]; then + echo " • Integration Test Reports: target/failsafe-reports/" + fi + + echo "" +} + +# Help function +show_help() { + echo "TradeStreamEE Test Execution Script" + echo "" + echo "Usage: $0 [OPTION]" + echo "" + echo "Options:" + echo " quick Run quick unit tests only" + echo " full Run full test suite (unit + integration)" + echo " unit Run unit tests" + echo " integration Run integration tests" + echo " coverage Generate coverage report only" + echo " benchmarks Run JMH performance benchmarks" + echo " load Run load tests" + echo " clean Clean test results" + echo " results Show test results summary" + echo " help Show this help message" + echo "" + echo "Environment Variables:" + echo " SKIP_BENCHMARKS=true Skip running benchmarks in full suite" + echo " SKIP_LOAD_TESTS=true Skip running load tests in full suite" + echo "" +} + +# Main script logic +main() { + echo "=========================================" + echo " TradeStreamEE Test Runner" + echo "=========================================" + echo "" + + check_prerequisites + + case "${1:-help}" in + "quick") + quick_test + show_results + ;; + "full") + full_test_suite + show_results + ;; + "unit") + clean_test_results + run_unit_tests + show_results + ;; + "integration") + clean_test_results + run_integration_tests + show_results + ;; + "coverage") + generate_coverage_report + ;; + "benchmarks") + run_benchmarks + ;; + "load") + clean_test_results + run_load_tests + show_results + ;; + "clean") + clean_test_results + ;; + "results") + show_results + ;; + "help"|*) + show_help + ;; + esac +} + +# Run main function with all arguments +main "$@" \ No newline at end of file From 1b730f3c030c66724b16f64b9da715559285818a Mon Sep 17 00:00:00 2001 From: Luqman <27694244+pedanticdev@users.noreply.github.com> Date: Tue, 23 Dec 2025 10:09:38 +0000 Subject: [PATCH 04/33] Enhancements This PR enhances TradeStreamEE with a DIRECT ingestion mode, improves Azul C4 detection accuracy, adds container restart policies, and refreshes the web UI with dark mode support. Key Changes Core Functionality - New DIRECT ingestion mode (AeronSubscriberBean.java, MarketDataPublisher.java): Added TRADER_INGESTION_MODE config property to skip Aeron/MediaDriver initialization, allowing direct market data ingestion without the Aeron transport layer - Fixed Azul C4 detection (GCStatsResource.java:96-97): Changed from vendor string check to accurate GC MXBean name check ("GPGC"), preventing false positives - Added allocation rate metrics (GCStatsResource.java:93-95): New allocationRateMBps field in GC stats response Infrastructure - Container restart policy (docker-compose.yml, docker-compose-standard.yml): Added restart: unless-stopped for improved resilience Code Modernization - Lambda conversion (MarketDataBroadcaster.java:52-55): Replaced anonymous inner class with lambda for Hazelcast message listener Frontend - Dark mode support (index.html): Complete UI refresh with CSS custom properties for theme switching - New blog page (blog.html): Comprehensive article on Azul C4 and Payara for high-frequency trading Test Coverage Updated README documentation reflects expanded test suite: 160 tests passing (up from 19), with >90% coverage for monitoring components. --- README.md | 54 +- docker-compose-standard.yml | 1 + docker-compose.yml | 1 + .../trader/aeron/AeronSubscriberBean.java | 12 +- .../trader/aeron/MarketDataPublisher.java | 6 +- .../payara/trader/rest/GCStatsResource.java | 11 +- .../websocket/MarketDataBroadcaster.java | 11 +- src/main/webapp/blog.html | 422 +++++++ src/main/webapp/index.html | 1024 ++++++++++++----- 9 files changed, 1175 insertions(+), 367 deletions(-) create mode 100644 src/main/webapp/blog.html diff --git a/README.md b/README.md index 7ccf9a9..c3886ec 100644 --- a/README.md +++ b/README.md @@ -509,17 +509,6 @@ Dockerfile.scale.standard # Build for G1GC instances ## 🧪 Testing & Quality Assurance -TradeStreamEE includes a comprehensive testing infrastructure designed to ensure reliability and performance validation. - -### Test Framework Stack - -| Component | Technology | Purpose | -|-------------------------|-----------------------------|---------------------------------| -| **Unit Testing** | JUnit 5 + Mockito + AssertJ | Core component validation | -| **Integration Testing** | Custom framework | Service layer interactions | -| **Performance Testing** | JMH + Custom utilities | Benchmarking and load testing | -| **Code Coverage** | JaCoCo Maven Plugin | Coverage analysis and reporting | - ### Quick Test Execution ```bash @@ -536,41 +525,24 @@ TradeStreamEE includes a comprehensive testing infrastructure designed to ensure ### Current Test Coverage -**✅ Working Tests (19/19 passing):** -- **BasicFunctionalityTest**: Core components and allocation modes -- **MarketDataFragmentHandlerTest**: SBE message processing -- **MarketDataBroadcasterTest**: WebSocket session management +**✅ Working Tests (160/160 passing):** +- **Monitoring & GC**: Full coverage of SLA monitoring logic and GC notification handling. +- **REST Resources**: Comprehensive tests for Memory Pressure and GC Stats endpoints. +- **Core Logic**: Validated `AllocationMode` and concurrency configurations. +- **WebSockets**: Verified `MarketDataBroadcaster` functionality and session management. **📊 Coverage Metrics:** -- **Tests**: 19 unit tests with 100% pass rate -- **Instruction Coverage**: ~45% (core components) -- **Test Execution**: < 30 seconds for quick run +- **Tests**: 160 unit tests with 100% pass rate +- **Monitoring Coverage**: >90% (SLAMonitor, GCStatsService) +- **REST API Coverage**: >85% (Resources and DTOs) +- **Instruction Coverage**: High coverage for business logic; integration logic relies on `test.sh`. ### Test Categories -1. **Unit Tests**: Core component testing in isolation -2. **Integration Tests**: Service layer interactions -3. **Performance Tests**: Load testing and benchmarks -4. **Memory Pressure Tests**: GC behavior validation - -### Test Utilities - -**GCTestUtil**: Provides GC testing and memory pressure utilities: - -```java -// Capture GC statistics -GCTestUtil.GCStatistics before = GCTestUtil.captureInitialStats(); - -// Create controlled memory pressure -GCTestUtil.allocateMemory(100); // 100MB - -// Analyze GC impact -GCTestUtil.GCStatistics after = GCTestUtil.calculateDelta(before); -``` - -### Testing Documentation - -For detailed testing information, see: [TESTING.md](TESTING.md) - Complete testing guide with examples and best practices. +1. **Unit Tests**: Core component testing in isolation (`src/test/java`) +2. **Integration Tests**: Service layer interactions and resource validation +3. **Performance Tests**: Load testing and benchmarks via scripts +4. **Memory Pressure Tests**: GC behavior validation and stress scenarios ## 📜 License diff --git a/docker-compose-standard.yml b/docker-compose-standard.yml index d4967a3..5896be4 100644 --- a/docker-compose-standard.yml +++ b/docker-compose-standard.yml @@ -17,6 +17,7 @@ services: timeout: 10s retries: 3 start_period: 60s + restart: unless-stopped networks: - trader-network diff --git a/docker-compose.yml b/docker-compose.yml index f908d50..033a4fd 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -21,6 +21,7 @@ services: timeout: 10s retries: 3 start_period: 60s + restart: unless-stopped networks: - trader-network diff --git a/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java b/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java index 9202bb4..a5335c0 100644 --- a/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java +++ b/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java @@ -18,6 +18,7 @@ import org.agrona.CloseHelper; import org.agrona.concurrent.BackoffIdleStrategy; import org.agrona.concurrent.IdleStrategy; +import org.eclipse.microprofile.config.inject.ConfigProperty; /** * Aeron Ingress Singleton Bean Launches an embedded MediaDriver and subscribes to market data @@ -43,11 +44,20 @@ public class AeronSubscriberBean { @Inject @VirtualThreadExecutor private ManagedExecutorService managedExecutorService; + @Inject + @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") + private String ingestionMode; + void contextInitialized(@Observes @Initialized(ApplicationScoped.class) Object event) { - managedExecutorService.submit(() -> init()); + managedExecutorService.submit(this::init); } public void init() { + if ("DIRECT".equalsIgnoreCase(ingestionMode)) { + LOGGER.info("Running in DIRECT mode - Skipping Aeron/MediaDriver initialization."); + return; + } + LOGGER.info("Initializing Aeron Subscriber Bean..."); try { diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java index 84af2ec..285b07d 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java @@ -54,8 +54,7 @@ public class MarketDataPublisher { private final MarketDepthEncoder marketDepthEncoder = new MarketDepthEncoder(); private final HeartbeatEncoder heartbeatEncoder = new HeartbeatEncoder(); - // Buffer for encoding messages - private final UnsafeBuffer buffer = new UnsafeBuffer(ByteBuffer.allocateDirect(BUFFER_SIZE)); + private UnsafeBuffer buffer; private final AtomicLong sequenceNumber = new AtomicLong(0); private final AtomicLong tradeIdGenerator = new AtomicLong(1000); @@ -139,6 +138,9 @@ public void init() { return; } + // Initialize buffer only if in AERON mode + this.buffer = new UnsafeBuffer(ByteBuffer.allocateDirect(BUFFER_SIZE)); + try { // Wait for AeronSubscriberBean to be ready (both observers fire at roughly same time) LOGGER.info("Waiting for AeronSubscriberBean to be ready..."); diff --git a/src/main/java/fish/payara/trader/rest/GCStatsResource.java b/src/main/java/fish/payara/trader/rest/GCStatsResource.java index b07a427..15a5ce1 100644 --- a/src/main/java/fish/payara/trader/rest/GCStatsResource.java +++ b/src/main/java/fish/payara/trader/rest/GCStatsResource.java @@ -76,12 +76,12 @@ public Response getComparison() { // Identify which JVM is running String jvmVendor = System.getProperty("java.vm.vendor"); String jvmName = System.getProperty("java.vm.name"); + List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); String gcName = - ManagementFactory.getGarbageCollectorMXBeans().stream() - .map(GarbageCollectorMXBean::getName) - .collect(Collectors.joining(", ")); + gcBeans.stream().map(GarbageCollectorMXBean::getName).collect(Collectors.joining(", ")); - boolean isAzulC4 = jvmVendor != null && jvmVendor.contains("Azul"); + // More accurate check: C4 collector's MXBean is named "GPGC" + boolean isAzulC4 = gcBeans.stream().anyMatch(bean -> "GPGC".equals(bean.getName())); comparison.put("jvmVendor", jvmVendor); comparison.put("jvmName", jvmName); @@ -91,6 +91,9 @@ public Response getComparison() { // Current stress level comparison.put("allocationMode", memoryPressureService.getCurrentMode()); + comparison.put( + "allocationRateMBps", + memoryPressureService.getCurrentMode().getBytesPerSecond() / (1024 * 1024)); comparison.put("messageRate", publisher.getMessagesPublished()); // GC Performance Metrics (keep old stats for backward compatibility) diff --git a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java index c03953d..61c997a 100644 --- a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java +++ b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java @@ -2,8 +2,6 @@ import com.hazelcast.core.HazelcastInstance; import com.hazelcast.topic.ITopic; -import com.hazelcast.topic.Message; -import com.hazelcast.topic.MessageListener; import jakarta.annotation.PostConstruct; import jakarta.enterprise.context.ApplicationScoped; import jakarta.inject.Inject; @@ -51,12 +49,9 @@ public void init() { if (hazelcastInstance != null) { clusterTopic = hazelcastInstance.getTopic(TOPIC_NAME); clusterTopic.addMessageListener( - new MessageListener() { - @Override - public void onMessage(Message message) { - // Broadcast to local WebSocket sessions only - broadcastLocal(message.getMessageObject()); - } + message -> { + // Broadcast to local WebSocket sessions only + broadcastLocal(message.getMessageObject()); }); LOGGER.info("Subscribed to Hazelcast topic: " + TOPIC_NAME + " (clustered mode)"); } else { diff --git a/src/main/webapp/blog.html b/src/main/webapp/blog.html new file mode 100644 index 0000000..383301e --- /dev/null +++ b/src/main/webapp/blog.html @@ -0,0 +1,422 @@ + + + + + + Azul C4 and Payara: High-Speed Financial Applications - TradeStreamEE Blog + + + + +
+
+ + + + + Back to Dashboard + +

Azul C4 and Payara: The Ideal Base for High-Speed Financial Applications

+

How Enterprise Java with pauseless garbage collection enables low-latency high-frequency trading systems

+
+
+ + + + 8 min read +
+
+ + + + Azul C4, Payara Micro, Jakarta EE, HFT +
+
+
+ +
+

In high-frequency trading (HFT) and financial services, every microsecond counts. The difference between profit and loss often comes down to how quickly your system can process market data and execute trades. For years, Java has been viewed with skepticism in the world of low-latency finance, primarily due to its notorious "stop-the-world" garbage collection pauses that can wreck predictable performance.

+ +

But what if I told you that Java is now one of the best choices for latency-sensitive financial applications?

+ +

I developed TradeStreamEE, a sophisticated high-frequency trading dashboard to demonstrate that HFT is not only possible but also highly performant in Enterprise Java, particularly when combining Azul Platform Prime with the C4 garbage collector and Payara Micro. This technology stack changes Java's performance profile, offering measurable, real-world improvements that are now leading financial institutions to reconsider their current technology choices.

+ +

The Evidence: 2GB/s Pressure, 1ms Latency

+ +

We subjected TradeStreamEE to an extreme torture test: generating 2 Gigabytes of garbage per second while simultaneously processing market data.

+ +

In a standard OpenJDK environment using G1GC, this level of pressure typically results in "Stop-the-World" pauses lasting hundreds of milliseconds. The user interface freezes. Tickers jump. Traders lose money.

+ +

With Azul C4, the results were staggering. We queried the live application status while it was under this 2GB/s bombardment. Here is the raw JSON returned from our Payara endpoints:

+ + 
{
+  "running": true,
+  "description": "2 GB/sec - Extreme pressure",
+  "bytesPerSecond": 2048000000,
+  "currentMode": "EXTREME",
+  "percentiles": {
+    "max": 1,
+    "p50": 0,
+    "p99": 1,
+    "p999": 1
+  }
+}
+ +
+

Read that again.

+

Allocating 2GB of data every second, the application's garbage collection pauses peaked at 1 millisecond. The 50th percentile (median) was 0ms. The SLA monitor reported zero violations over 10ms.

+
+ +

Payara Micro: Enterprise Jakarta EE for Demanding Applications

+ +

While Azul C4 eliminates Java's performance limitations, Payara Micro provides the enterprise-grade Jakarta EE runtime that makes sophisticated financial applications possible.

+ +

What makes Payara Micro well suited for financial services is its thoughtful balance of enterprise features and performance optimization. The platform weighs just 100MB and starts in seconds, making it perfect for the microservices architectures that dominate modern financial technology stacks. But do not be deceived by the small footprint. It packs the full power of Jakarta EE 11, featuring critical implementations like Jakarta CDI for dependency injection, WebSocket support for real-time communication, and Jakarta REST for RESTful APIs.

+ +

Built-in Clustering with Hazelcast

+ +

Using Hazelcast under the hood, Payara provides automatic data replication across cluster nodes. Through such deep integration, creating a cluster of Payara Micro instances is a breeze.

+ +

In our code, we didn't have to write complex distributed consensus logic. We simply injected the Hazelcast instance to track global throughput across the cluster:

+ + 
// Payara + Hazelcast: Instant cluster-wide metrics without complex setup
+@Inject private HazelcastInstance hazelcastInstance;
+
+public void init() {
+    // This counter is automatically shared across all cluster nodes
+    // No extra infrastructure code required
+    clusterMessageCounter =
+        hazelcastInstance.getCPSubsystem().getAtomicLong("cluster-message-count");
+}
+ +

This means financial firms can build highly available trading systems that can withstand node failures without losing market data or transaction state.

+ +

Architecture Deep Dive Into TradeStreamEE

+ +

The TradeStreamEE application serves as a perfect showcase for what's possible when you combine Azul C4 and Payara Micro. The architecture demonstrates thoughtful engineering that addresses the specific challenges of financial trading systems.

+ +

The "Hero": Zero-Copy SBE

+ +

At the core of the system is Aeron IPC with Simple Binary Encoding (SBE), technologies that enable zero-copy message processing. The approach is elegant: instead of creating new Java objects for every market data message, the system uses "flyweight" objects that act as windows over shared memory buffers. This eliminates object allocation entirely during the critical path of message processing.

+ + 
// SBE Flyweight pattern - zero object allocation during processing
+private final TradeDecoder tradeDecoder = new TradeDecoder();
+private final MessageHeaderDecoder headerDecoder = new MessageHeaderDecoder();
+
+@Override
+public void onFragment(DirectBuffer buffer, int offset, int length, Header header) {
+    headerDecoder.wrap(buffer, offset);
+
+    // Move the "window" to the data without allocating a new object
+    tradeDecoder.wrap(buffer, offset + headerDecoder.encodedLength(),
+                     headerDecoder.blockLength(), headerDecoder.version());
+
+    // Extract data directly from the buffer
+    final long timestamp = tradeDecoder.timestamp();
+    final long price = tradeDecoder.price();
+    final long quantity = tradeDecoder.quantity();
+}
+ +

The "Villain": The Memory Pressure Service

+ +

To prove the reliability of the system, we included a component designed specifically to break it. The MemoryPressureService generates massive amounts of random data to simulate extreme market volatility or memory leaks.

+ + 
// The "Villain": Generating 2GB/sec of garbage to stress the JVM
+private void generateGarbage(AllocationMode mode) {
+    // 20,000 allocations per 100ms iteration = ~2GB/sec
+    for (int i = 0; i < mode.getAllocationsPerIteration(); i++) {
+        // Create 100KB byte array, touch it, and immediately discard it
+        byte[] garbage = new byte[1024 * 100];
+        ThreadLocalRandom.current().nextBytes(garbage); // Prevent optimization
+    }
+}
+ +

Even with this "villain" running full throttle, the Azul C4 collector cleaned up the mess concurrently, ensuring the trading threads never stopped.

+ +

The Business Impact

+ +

The business implications of this technology combination extend far beyond technical performance metrics. For trading firms, predictable latency directly translates to competitive advantage in the market.

+ +

Perhaps more importantly, the operational complexity that has traditionally plagued Java performance tuning virtually disappears. The standard approach to Java latency problems involved teams of performance engineers spending months tuning JVM parameters (-XX:NewRatio, -XX:SurvivorRatio). With Azul C4 and Payara Micro, most of that complexity evaporates. C4 adapts automatically to workload patterns, eliminating the need for manual parameter tuning.

+ +

In our tests, a single Payara Micro instance effortlessly handled ingestion rates exceeding 30 million messages, with zero degradation in SLA compliance. This means financial firms can process more trades per second, handle higher client volumes without performance degradation, and maintain consistent service levels even during market stress events.

+ +

Conclusion

+ +

Azul C4 and Payara Micro fundamentally redefine the potential of Java for low-latency financial applications. This is more than an incremental gain; it's a paradigm shift.

+ +

By combining the operational maturity of Payara with the runtime supremacy of Azul Platform Prime, organizations can have their cake and eat it too. You can build maintainable, secure, and scalable Jakarta EE applications that meet the most demanding latency SLAs of the financial industry.

+ +

The question is no longer whether Java can handle low-latency financial workloads. With Azul C4 and Payara, it's now one of the best choices available.

+ +
+

Ready to See It in Action?

+

The theory is compelling, but the real proof is in the running system. I encourage you to:

+
    +
  • Explore the Code: Check out the TradeStreamEE repository on GitHub to see the complete implementation. The codebase demos best practices for low-latency Java development.
    • +
  • Try Payara Micro: Download Payara Micro and experience the lightweight, enterprise-grade application server for yourself.
    • +
  • Try Payara Qube: Deploy to Payara Qube (formerly Payara Cloud) for effortless cloud deployment without the infrastructure overhead.
    • +
  • Evaluate Azul Platform Prime: Request a trial of Azul Platform Prime to see C4 garbage collection in action. The performance improvements are immediately noticeable, especially under memory pressure.
    • +
  • Run Your Own Tests: Use the built-in stress testing capabilities in TradeStreamEE to see how your applications perform under realistic load conditions.
    • +
+
+
+
+ + + + diff --git a/src/main/webapp/index.html b/src/main/webapp/index.html index a51b6b6..3e33d64 100644 --- a/src/main/webapp/index.html +++ b/src/main/webapp/index.html @@ -1,5 +1,6 @@ + @@ -8,15 +9,41 @@ +

TradeStreamEE

-

High-Frequency Trading Dashboard • Aeron + SBE + Payara Micro + Azul Platform Prime

+

High-Frequency Trading Dashboard • Aeron + SBE + Payara Micro + Azul Platform Prime +

-
-
-
-
- Disconnected - - +
+ + + + + Read Blog
+ + + +
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Demo Scenarios

@@ -586,7 +779,7 @@

GC Performance Comparison

@@ -629,9 +822,9 @@

Allocation Rate

- +
- +
@@ -645,15 +838,17 @@

Allocation Rate

Hiccup Monitor

-

Tracks inter-arrival time gaps between messages. Spikes indicate "Stop-the-World" GC pauses where the application freezes.

-

With Azul C4's pauseless GC, you should see a flat line even at 100k+ msg/sec. Standard OpenJDK G1GC shows frequent spikes as it struggles to clean up heap.

+

Tracks inter-arrival time gaps between messages. Spikes indicate "Stop-the-World" GC pauses where + the application freezes.

+

With Azul C4's pauseless GC, you should see a flat line even at 100k+ msg/sec. Standard OpenJDK + G1GC shows frequent spikes as it struggles to clean up heap.

Measured: Performance.now() delta between WebSocket messages
- +
@@ -687,9 +882,13 @@

Hiccup Monitor

GC Statistics

-

Real-time garbage collection metrics. Collection count matters less than pause duration.

-

G1GC: Fewer collections (48), but longer pauses (4ms avg). At 100k msg/sec, a 4ms pause = 400 dropped messages.

-

Azul C4: More collections (500), but sub-millisecond pauses (0.1ms avg). Same load = only 10 dropped messages.

+

Real-time garbage collection metrics. Collection count matters less than + pause duration. +

+

G1GC: Fewer collections (48), but longer pauses (4ms avg). At 100k msg/sec, a + 4ms pause = 400 dropped messages.

+

Azul C4: More collections (500), but sub-millisecond pauses (0.1ms avg). Same + load = only 10 dropped messages.

C4 does work concurrently while G1GC batches cleanup into painful stops.

Source: /metrics endpoint (Prometheus format)
@@ -698,7 +897,7 @@

GC Statistics

- +
@@ -714,28 +913,37 @@

GC Statistics

- - - - - + + + + +

GC Challenge Mode

-

Intentionally generates garbage to stress-test the GC under load. Watch how each collector responds.

-

Azul C4: Maintains low, consistent pause times even under EXTREME allocation pressure. Concurrent collection keeps up.

-

G1GC: Pause times spike as allocation rate increases. You'll see stuttering in message delivery and chart updates.

+

Intentionally generates garbage to stress-test the GC under load. Watch how each collector + responds.

+

Azul C4: Maintains low, consistent pause times even under EXTREME allocation + pressure. Concurrent collection keeps up.

+

G1GC: Pause times spike as allocation rate increases. You'll see stuttering in + message delivery and chart updates.

Rates: LOW=0.1MB/s, MEDIUM=0.5MB/s, HIGH=2MB/s, EXTREME=10MB/s

- Technique: Mixed allocation patterns (Strings, arrays, objects, collections)
+ Technique: Mixed allocation patterns (Strings, arrays, objects, + collections)
Inspired by: 1BRC stress testing
- +
@@ -750,9 +958,12 @@

GC Challenge Mode

GC Pause Time Monitor

Real-time visualization of garbage collection pause times. Lower is better.

-

Azul C4 (Pauseless): Flat line near zero. Collections happen concurrently without stopping application threads.

-

G1GC (Stop-the-World): Visible spikes when GC pauses occur. Higher message rates = higher pause times.

-

This chart demonstrates why C4 is ideal for latency-sensitive applications - predictable, consistent performance without pause spikes.

+

Azul C4 (Pauseless): Flat line near zero. Collections happen concurrently + without stopping application threads.

+

G1GC (Stop-the-World): Visible spikes when GC pauses occur. Higher message rates + = higher pause times.

+

This chart demonstrates why C4 is ideal for latency-sensitive applications - predictable, + consistent performance without pause spikes.

API: /api/gc/stats
Metric: Last pause duration (ms)
@@ -761,7 +972,7 @@

GC Pause Time Monitor

- +
@@ -774,8 +985,10 @@

GC Pause Time Monitor

Price Monitor

-

Displays the last 20 trade prices received via WebSocket. Updates in real-time as messages stream in.

-

Watch for smooth, continuous updates with Aeron mode. Any stuttering indicates GC pauses blocking the ingestion pipeline.

+

Displays the last 20 trade prices received via WebSocket. Updates in real-time as messages stream + in.

+

Watch for smooth, continuous updates with Aeron mode. Any stuttering indicates GC pauses blocking + the ingestion pipeline.

Chart: Chart.js (Bar)
Updates: On each Trade message @@ -783,7 +996,7 @@

Price Monitor

- +
Recent Trades
@@ -791,7 +1004,8 @@

Price Monitor

Trade Messages

-

Shows the 5 most recent trade executions decoded from SBE binary format. Each trade includes timestamp, symbol, price, and quantity.

+

Shows the 5 most recent trade executions decoded from SBE binary format. Each trade includes + timestamp, symbol, price, and quantity.

SBE Template: Trade (ID: 1)
Decoding: Zero-copy Flyweight pattern @@ -806,7 +1020,8 @@

Trade Messages

Quote Messages

-

Displays bid/ask spreads for active symbols. Generated synthetically by the publisher and encoded using SBE.

+

Displays bid/ask spreads for active symbols. Generated synthetically by the publisher and encoded + using SBE.

SBE Template: Quote (ID: 2)
Fields: Bid Price, Ask Price, Bid Size, Ask Size @@ -821,7 +1036,8 @@

Quote Messages

Market Depth

-

Level 2 order book data showing buy/sell orders at different price levels. Demonstrates SBE's ability to encode complex nested structures.

+

Level 2 order book data showing buy/sell orders at different price levels. Demonstrates SBE's + ability to encode complex nested structures.

SBE Template: MarketDepth (ID: 3)
Structure: Repeating groups for each price level @@ -836,7 +1052,8 @@

Market Depth

System Log

-

Connection events and diagnostic messages. Logs WebSocket lifecycle and ingestion mode switches.

+

Connection events and diagnostic messages. Logs WebSocket lifecycle and ingestion mode switches. +

Purpose: Debugging and monitoring
Events: Connect, Disconnect, Mode changes @@ -846,8 +1063,8 @@

System Log

+ \ No newline at end of file From 06be264e7b50a7f3cd83ed340a113910b7144e74 Mon Sep 17 00:00:00 2001 From: Luqman <27694244+pedanticdev@users.noreply.github.com> Date: Fri, 26 Dec 2025 16:13:37 +0000 Subject: [PATCH 05/33] Develop (#9) This PR refactors the TradeStreamEE project documentation and deployment tooling to emphasize its primary purpose: real-time side-by-side JVM comparison between Azul C4 (pauseless GC) and standard G1GC (stop-the-world). Key Changes 1. Deployment Script Refactoring (start-comparison.sh) - Added parameter support: ./start-comparison.sh (clusters only) vs ./start-comparison.sh all (full monitoring stack) - Removed redundant Maven build (Dockerfiles handle it) - Added Docker validation, compose v1/v2 compatibility wrapper, and cluster status checks - Made monitoring network creation conditional on deployment mode 2. README.md Restructuring - Simplified Core Technologies - Added Payara Micro, condensed verbose explanations, removed marketing language - Rewrote Quick Start - Clear "Primary Use Case" section emphasizing side-by-side JVM comparison with both clusters running identical WAR files - Fixed Technical Inaccuracies: - Heap size documentation (8GB single instance vs 4GB clustered) - Clarified both clusters use AERON by default (not one naive/one optimized) - Added TRADER_INGESTION_MODE environment variable values (AERON or DIRECT) - Condensed Monitoring Section - Reduced from ~170 lines to ~30 lines, removed duplicate setup instructions - Improved Diagram - Replaced multiple verbose Mermaid diagrams with single horizontal side-by-side comparison (DIRECT vs AERON modes) - Fixed Section Ordering - Eliminated backward references between sections 3. UI Improvements (index.html) - Moved "GC Pause Time (Live)" chart to first position in dashboard for prominence 4. Dockerfiles - Added spotless:apply to all Dockerfiles to ensure code formatting during build Technical Accuracy Corrections | Before | After | |---------------------------------------------|---------------------------------------------------------------------------| | Implied DIRECT mode for G1GC, AERON for C4 | Both use AERON by default; mode is architectural choice, not JVM-specific | | 8GB heap universally documented | 8GB (single) vs 4GB (clustered) per deployment type | | Verbose "binary encoding explained" section | Condensed to essential technical points | | Referred users to Grafana for comparison | Directs users to application UI GC Pause Time chart | Files Modified - README.md - Comprehensive restructuring and technical corrections - start-comparison.sh - Parameterized deployment with Docker validation - stop-comparison.sh - New stop script - index.html - UI chart repositioning - Dockerfile, Dockerfile.scale, Dockerfile.scale.standard, Dockerfile.standard - Added spotless formatting - docker-compose-monitoring.yml - New monitoring stack configuration --- Dockerfile | 1 + Dockerfile.scale | 1 + Dockerfile.scale.standard | 1 + Dockerfile.standard | 1 + README.md | 476 ++-- .../payara/resource/HelloWorldResource.java | 5 +- .../aeron/MarketDataFragmentHandler.java | 14 +- .../fish/payara/trader/gc/GCStatsService.java | 4 - .../trader/monitoring/GCPauseMonitor.java | 19 +- .../trader/monitoring/SLAMonitorService.java | 6 - .../pressure/MemoryPressureService.java | 23 +- .../payara/trader/rest/ApplicationConfig.java | 5 +- .../payara/trader/rest/GCStatsResource.java | 12 +- .../trader/rest/MemoryPressureResource.java | 2 - .../payara/trader/rest/StatusResource.java | 1 - .../websocket/MarketDataBroadcaster.java | 5 - .../trader/websocket/MarketDataWebSocket.java | 3 - src/main/webapp/index.html | 2326 +++++++++-------- start-comparison.sh | 117 +- start.sh | 4 +- 20 files changed, 1573 insertions(+), 1453 deletions(-) diff --git a/Dockerfile b/Dockerfile index 32aa741..f4d748e 100644 --- a/Dockerfile +++ b/Dockerfile @@ -14,6 +14,7 @@ RUN ./mvnw dependency:go-offline -B COPY src ./src +RUN ./mvnw spotless:apply RUN ./mvnw clean package -DskipTests # Use Azul Platform Prime for C4 GC diff --git a/Dockerfile.scale b/Dockerfile.scale index de8b009..dbaff61 100644 --- a/Dockerfile.scale +++ b/Dockerfile.scale @@ -14,6 +14,7 @@ RUN ./mvnw dependency:go-offline -B COPY src ./src +RUN ./mvnw spotless:apply RUN ./mvnw clean package -DskipTests # Use Azul Platform Prime for C4 GC diff --git a/Dockerfile.scale.standard b/Dockerfile.scale.standard index a46ac40..8ca0647 100644 --- a/Dockerfile.scale.standard +++ b/Dockerfile.scale.standard @@ -14,6 +14,7 @@ RUN ./mvnw dependency:go-offline -B COPY src ./src +RUN ./mvnw spotless:apply RUN ./mvnw clean package -DskipTests # Use Eclipse Temurin (Standard OpenJDK) diff --git a/Dockerfile.standard b/Dockerfile.standard index 34dfa4d..0754372 100644 --- a/Dockerfile.standard +++ b/Dockerfile.standard @@ -14,6 +14,7 @@ RUN ./mvnw dependency:go-offline -B COPY src ./src +RUN ./mvnw spotless:apply RUN ./mvnw clean package -DskipTests # Use Eclipse Temurin (Standard OpenJDK) diff --git a/README.md b/README.md index c3886ec..b7248da 100644 --- a/README.md +++ b/README.md @@ -1,47 +1,30 @@ # TradeStreamEE: High-Frequency Trading Reference Architecture -**TradeStreamEE** is a technical demonstration application designed to showcase the "Pauseless Performance" symbiosis between **Payara Server Enterprise** (Jakarta EE) and **Azul Platform Prime** (High-Performance JVM). +**TradeStreamEE** demonstrates how Jakarta EE applications can achieve low-latency, high-throughput performance by combining modern messaging (Aeron), efficient serialization (SBE), and a concurrent garbage collector (Azul C4). -It simulates a high-frequency trading (HFT) dashboard that ingests tens of thousands of market data messages per second, processes them in real-time, and broadcasts updates to a web frontend—all without the latency spikes ("jitter") associated with standard Java Garbage Collection. +It simulates a high-frequency trading dashboard that ingests tens of thousands of market data messages per second, processes them in real-time, and broadcasts updates to a web frontend—without the latency spikes associated with traditional Java garbage collection. ## ⚡ The Core Technologies -TradeStreamEE gets its speed by removing the middleman. We swapped out heavy, traditional methods (REST/JSON) for 'Mechanical Sympathy', an approach that respects the underlying hardware to squeeze out maximum efficiency. +TradeStreamEE achieves high performance by combining four key technologies: -### 1\. What is Binary Encoding? +### Aeron (Transport) -Computers do not natively understand text; they understand bits. +Ultra-low latency messaging that bypasses the network stack when components run on the same machine. Data moves directly through shared memory instead of through kernel networking. -* **Text Encoding (JSON/XML):** Easy for humans (`{"price": 100}`), but expensive for computers. The CPU must parse every character, handle whitespace, and convert strings to numbers. This burns CPU cycles and creates massive amounts of temporary memory "garbage." -* **Binary Encoding:** Stores data exactly as the machine represents it in memory (e.g., `100` is stored as 4 raw bytes). No parsing is required. This results in **deterministic latency** and significantly reduced CPU usage. +### SBE (Serialization) -### 2\. Aeron (The Transport) +Simple Binary Encoding - the financial industry standard for high-frequency trading. Encodes data as compact binary rather than human-readable text, eliminating parsing overhead and reducing memory allocation. -[Aeron](https://aeron.io/) is a peer-to-peer, broker-less transport protocol designed for **ultra-low latency** applications. +### Payara Micro (Jakarta EE Runtime) -* **Broker-Less:** There is no central server "middleman." The Publisher sends data directly to the Subscriber's memory address. -* **IPC (Inter-Process Communication):** When components run on the same machine (like in this demo), Aeron bypasses the network stack entirely, writing data directly to shared memory (RAM). +A cloud-native Jakarta EE 11 application server that provides Jakarta CDI for dependency injection, Jakarta WebSocket for real-time browser communication, and Jakarta REST for REST endpoints. Lightweight (~100MB) and fast-starting. -### 3\. SBE (Simple Binary Encoding) +### Azul Platform Prime (Runtime) -[SBE](https://github.com/real-logic/simple-binary-encoding) is the standard for high-frequency financial trading (FIX SBE). It serves as the **Presentation Layer**, defining how business data (Trades, Quotes) is structured inside the Aeron buffers. +A JVM with the C4 garbage collector that performs cleanup concurrently with application execution, avoiding the "stop-the-world" pauses that cause latency spikes in traditional JVMs. -#### **How SBE Works** - -Unlike JSON, where you just write data, SBE is **Schema-Driven**. This ensures strict structure and maximum speed. - -1. **Define the Schema (`market-data.xml`):** You define your messages in XML. This acts as the contract between Publisher and Subscriber. - - ```xml - - - - - ``` -2. **Generate Code:** During the build process (`mvn generate-sources`), the **SbeTool** reads the XML and generates Java classes (Encoders and Decoders). -3. **Zero-Copy Encoding/Decoding:** - * **The Flyweight Pattern:** The generated Java classes are "Flyweights." They do not hold data themselves. Instead, they act as a "window" over the raw byte buffer. - * **No Allocation:** When we read a Trade message, **we do not create a `Trade` object**. We simply move the "window" to the correct position in memory and read the `long` value for price. This generates **zero garbage** for the Garbage Collector to clean up. +**How they work together:** Payara Micro manages the Aeron publisher/subscriber lifecycle via CDI. The publisher encodes market data into binary using SBE, sends it through Aeron's shared memory transport, and the subscriber decodes it without allocating Java objects. This minimal garbage generation lets C4's concurrent collection easily handle the cleanup, maintaining flat latency even at high throughput. ## 🚀 The Rationale: Why This Project Exists @@ -54,10 +37,72 @@ Standard JVMs (using G1GC or ParallelGC) often "hiccup" under high load, causing ### The "A/B" Comparison -This project includes built-in tools to benchmark "The Old Way" vs. "The New Way": +This project enables side-by-side JVM comparison with identical architectural choices: + +* **Both clusters** use **AERON IPC + Zero-Copy SBE** by default (optimized architecture) +* **Both clusters** can optionally run **DIRECT mode** (naive string processing) via `TRADER_INGESTION_MODE` flag +* **The key difference** is the JVM: Azul C4 (pauseless) vs Standard G1GC (stop-the-world) + +This isolates the GC as the variable, letting you see how the same application behaves under different garbage collectors. + +## 🚦 Quick Start + +### Primary Use Case: Side-by-Side JVM Comparison + +**Why this matters:** Most benchmarking tools run tests serially, start JVM A, test, shut down, start JVM B, test, then manually compare spreadsheets. That's not how real systems behave. + +TradeStreamEE deploys both JVMs simultaneously, enabling you to see real-time behavior differences under identical conditions. + +**The key point:** Both clusters run the **exact same WAR file**, same code, same configuration, same workload. The **only difference** is the JVM. This isolates the garbage collector as the sole variable, making the comparison fair and meaningful. + +```bash +./start-comparison.sh all +``` + +**What this does:** + +1. Builds and deploys **Azul C4 cluster** (3 instances, ports 8080-8083) +2. Builds and deploys **G1GC cluster** (3 instances, ports 9080-9083) +3. Starts **Prometheus** for metrics collection +4. Starts **Grafana** with pre-configured JVM comparison dashboards +5. Starts **Loki/Promtail** for centralized logging + +**Then open both URLs in separate browser tabs:** + +- **C4 Cluster:** http://localhost:8080/trader-stream-ee/ +- **G1 Cluster:** http://localhost:9080/trader-stream-ee/ + +**Watch the "GC Pause Time (Live)" chart** to see the difference: + +| Metric | Azul C4 | G1GC | What You'll See | +|:-------------------------|:-------------------|:------------------|:------------------------------------------------------------------| +| **GC Pause Time (Live)** | Flatline | Spikes | C4 maintains consistent latency; G1GC shows stop-the-world pauses | +| **Heap Usage** | Smooth oscillation | Sawtooth patterns | Different collection strategies visualized in real-time | +| **Under Load** | Barely moves | Jitter increases | Apply stress via UI and watch the gap widen | + +**Other options:** + +- `./start-comparison.sh` - Clusters only, no monitoring stack (faster for rapid development) +- `./stop-comparison.sh` - Stop all comparison services + +--- + +### Single-JVM Testing (start.sh) + +Use `./start.sh` for testing individual configurations or architectural modes. This runs ONE JVM at a time for focused testing. + +| Scenario | Command | JVM | Architecture | Purpose | +|:-------------------------|:-----------------------------|:--------------------|:------------------|:-----------------------------------------------------------------| +| Modern Stack | `./start.sh azul-aeron` | Azul Prime (C4) | Aeron (Optimized) | Peak performance with pauseless GC + zero-copy transport | +| Legacy Baseline | `./start.sh standard-direct` | Standard JDK (G1GC) | Direct (Heavy) | Baseline: high allocation on G1GC, expect jitter | +| Fixing Legacy Code | `./start.sh azul-direct` | Azul Prime (C4) | Direct (Heavy) | Show how C4 stabilizes high-allocation apps without code changes | +| Optimizing Standard Java | `./start.sh standard-aeron` | Standard JDK (G1GC) | Aeron (Optimized) | Test if architectural optimization helps G1GC performance | -* **Scenario A (Baseline):** Standard OpenJDK + Naive String Processing. -* **Scenario B (Optimized):** Azul Platform Prime + Aeron IPC + Zero-Copy SBE. +**Utilities:** + +- `./start.sh logs` - View live logs +- `./start.sh stop` - Stop containers +- `./start.sh clean` - Deep clean (remove volumes/images) ## 🏗️ Technical Architecture @@ -89,113 +134,70 @@ The application implements a **Hybrid Architecture**: ## 🔍 Understanding the Modes -This demo allows you to switch between two distinct ingestion pipelines to visualize the impact of architectural choices on JVM performance. - -### 1\. DIRECT Mode (The "Heavy" Path) +This demo supports two ingestion architectures that you can use with **either JVM**. Set the `TRADER_INGESTION_MODE` environment variable (`AERON` or `DIRECT`) to switch between them. -**Goal:** Simulate a standard, naive enterprise application with high object allocation rates. -**Runtime:** Standard OpenJDK (Eclipse Temurin 21) with G1GC. - -**Data Flow:** +**Important:** Both Azul C4 and G1GC clusters can run either mode. This lets you test whether architectural optimization (AERON) helps G1GC performance, or how C4 handles high-allocation legacy code (DIRECT). ```mermaid graph TD - classDef purple fill:#667eea,stroke:#4a5be7,stroke-width:2px,color:#ffffff,font-weight:bold; - classDef red fill:#dc3545,stroke:#c82333,stroke-width:2px,color:#ffffff,font-weight:bold; - classDef lightgray fill:#f8f9fa,stroke:#ced4da,stroke-width:1px,color:#333333; - classDef darkgray fill:#6c757d,stroke:#5a6268,stroke-width:1px,color:#ffffff; - - A[Publisher]:::purple -->|Generates POJOs| B(JSON Builder):::lightgray - B -->|Large String Allocation| C(Heavy JSON):::red - C -->|Direct Method Call| D[Broadcaster]:::purple - D -->|WebSocket Payload > 1KB| E[Browser]:::darkgray - - linkStyle 0 stroke:#667eea,stroke-width:2px; - linkStyle 1 stroke:#dc3545,stroke-width:2px; - linkStyle 2 stroke:#667eea,stroke-width:2px; - linkStyle 3 stroke:#764ba2,stroke-width:2px; + subgraph DIRECT["DIRECT Mode (High Allocation)"] + D1[Publisher] --> D2["JSON + 1KB padding"] + D2 --> D3[Broadcaster] + D3 --> D4["WebSocket → Browser"] + end + + subgraph AERON["AERON Mode (Zero-Copy, Default)"] + A1[Publisher] --> A2["SBE Binary"] + A2 --> A3["Aeron IPC"] + A3 --> A4["Fragment Handler"] + A4 --> A5[Broadcaster] + A5 --> A6["WebSocket → Browser"] + end + + classDef heavy fill:#dc3545,stroke:#c82333,stroke-width:2px,color:#fff + classDef optimized fill:#28a745,stroke:#218838,stroke-width:2px,color:#fff + + class D1,D2,D3,D4 heavy + class A1,A2,A3,A4,A5,A6 optimized ``` -1. **Publisher:** Generates synthetic market data as standard Java Objects. -2. **Allocation:** Immediately converts data to a JSON `String` using `StringBuilder` (high allocation). -3. **Artificial Load:** Wraps the JSON in a large "envelope" with 1KB of padding to stress the Garbage Collector. -4. **Transport:** Direct method call to `MarketDataBroadcaster`. -5. **WebSocket:** Pushes the heavy JSON string to the browser. -6. **Browser:** Unwraps the payload and renders the chart. - -**Performance Characteristics:** - -* **High Allocation Rate:** Gigabytes of temporary String objects created per second. -* **GC Pressure:** Frequent "Stop-the-World" pauses from G1GC lead to "jitter" in the UI charts. +### 1\. DIRECT Mode (The "Heavy" Path) -### 2\. AERON Mode (The "Optimized" Path) +**Goal:** Simulate a standard, naive enterprise application with high object allocation rates. +**Use for:** Stress-testing GC behavior under high allocation pressure. -**Goal:** Simulate a low-latency financial pipeline using off-heap memory and zero-copy semantics. -**Runtime:** Azul Platform Prime (Zulu Prime 21) with C4 Pauseless GC. +**How it works:** -**Data Flow:** - -```mermaid -graph TD - classDef green fill:#28a745,stroke:#218838,stroke-width:2px,color:#ffffff,font-weight:bold; - classDef blue fill:#007bff,stroke:#0069d9,stroke-width:2px,color:#ffffff,font-weight:bold; - classDef purple fill:#667eea,stroke:#4a5be7,stroke-width:2px,color:#ffffff,font-weight:bold; - classDef darkgray fill:#6c757d,stroke:#5a6268,stroke-width:1px,color:#ffffff; - - A[Publisher]:::purple -->|Generates POJOs| B(SBE Encoder):::green - B -->|Binary IPC| C{Aeron Ring Buffer}:::blue - C -->|Shared Memory| D(Fragment Handler):::green - D -->|Decode & JSON| E[Broadcaster]:::purple - E -->|WebSocket Payload| F[Browser]:::darkgray - - linkStyle 0 stroke:#667eea,stroke-width:2px; - linkStyle 1 stroke:#28a745,stroke-width:2px; - linkStyle 2 stroke:#007bff,stroke-width:2px; - linkStyle 3 stroke:#28a745,stroke-width:2px; - linkStyle 4 stroke:#667eea,stroke-width:2px; -``` - -1. **Publisher:** Generates synthetic market data. -2. **Encoding:** Encodes data into a compact binary format using **SBE**. - * *Zero-Copy:* Writes directly to an off-heap direct buffer. -3. **Transport (Aeron):** Publishes the binary message to the **Aeron IPC** ring buffer. - * *Kernel Bypass:* Data moves via shared memory, avoiding the OS network stack. -4. **Subscriber (Fragment Handler):** Reads the binary message using SBE "Flyweights" (reusable view objects). - * *Zero-Allocation:* No new Java objects are created during decoding. -5. **Transformation:** Converts the binary data to a compact, flat JSON string (minimal allocation). -6. **WebSocket:** Pushes the lightweight JSON to the browser. +1. **Publisher** generates synthetic market data as POJOs +2. **Allocation** converts data to JSON `String` using `StringBuilder` (high allocation) +3. **Artificial Load** wraps JSON in 1KB padding to stress the Garbage Collector +4. **Transport** via direct method call to `MarketDataBroadcaster` +5. **WebSocket** pushes heavy JSON to browser **Performance Characteristics:** -* **Low Allocation:** Almost no garbage generated in the ingestion hot-path. -* **Pauseless:** Azul C4 collector handles the WebSocket strings concurrently, maintaining a flat latency profile. -* **High Throughput:** Aeron IPC handles millions of messages/sec with sub-microsecond latency. - -## 🚦 Quick Start: The Comparison Matrix +- **High Allocation:** Gigabytes of temporary String objects per second +- **GC Pressure:** Frequent pauses on G1GC; C4 handles it better but still creates work -The `start.sh` script provides commands to run the TradeStreamEE application in various configurations, allowing for a comprehensive comparison of JVM and architectural performance. +### 2\. AERON Mode (The "Optimized" Path, Default) -| Scenario | Command | JVM | Ingestion Architecture | Goal | -|:--------------------------------|:-----------------------------|:--------------------|:-----------------------|:----------------------------------------------------------------------| -| **1. Modern Stack** | `./start.sh azul-aeron` | Azul Prime (C4) | Aeron (Optimized) | Demonstrate peak performance: Pauseless GC + Zero-Copy Transport. | -| **2. Legacy Baseline** | `./start.sh standard-direct` | Standard JDK (G1GC) | Direct (Heavy) | Establish the baseline: High allocation on G1GC. Expect jitter. | -| **3. Fixing Legacy Code** | `./start.sh azul-direct` | Azul Prime (C4) | Direct (Heavy) | Show how C4 can stabilize a high-allocation app without code changes. | -| **4. Optimizing Standard Java** | `./start.sh standard-aeron` | Standard JDK (G1GC) | Aeron (Optimized) | See if architectural optimization helps G1GC performance. | +**Goal:** Low-latency financial pipeline using off-heap memory and zero-copy semantics. +**Use for:** Production-grade performance with minimal GC impact. -### Observability Commands +**How it works:** -* `./start-comparison.sh` - Deploy complete JVM comparison stack (recommended) -* `./stop-comparison.sh` - Stop all comparison services -* `docker-compose -f docker-compose-monitoring.yml up -d` - Start monitoring stack only -* `docker-compose -f docker-compose-c4.yml up -d` - Start C4 cluster only -* `docker-compose -f docker-compose-g1.yml up -d` - Start G1GC cluster only -* `docker-compose -f docker-compose-monitoring.yml ps` - Check monitoring status +1. **Publisher** generates synthetic market data +2. **SBE Encoder** writes binary format to off-heap direct buffer (zero-copy) +3. **Aeron IPC** publishes to shared memory ring buffer (kernel bypass) +4. **Fragment Handler** reads using SBE "Flyweights" (reusable views, no allocation) +5. **Transformation** converts to compact JSON for WebSocket +6. **WebSocket** pushes lightweight JSON to browser -### Utilities +**Performance Characteristics:** -* `./start.sh logs` - View live logs -* `./start.sh stop` - Stop containers -* `./start.sh clean` - Deep clean (remove volumes/images) +- **Low Allocation:** Almost no garbage in the ingestion hot-path +- **High Throughput:** Aeron IPC handles millions of messages/sec with sub-microsecond latency +- **Both JVMs benefit** from reduced allocation, but C4 maintains flat latency profile ## ⚙️ Configuration & Tuning @@ -210,30 +212,31 @@ Controls how data moves from the Publisher to the Processor. ### JVM Tuning & Configuration -The Docker configurations are optimized with enhanced settings for performance testing: +Heap size varies by deployment type: + +| Deployment | Dockerfiles | Heap Size | Reason | +|:--------------------------------------|:------------------------------------------------|:----------|:--------------------------------------------------------| +| **Single Instance** (`start.sh`) | `Dockerfile`, `Dockerfile.standard` | 8GB | Full heap for maximum throughput | +| **Clustered** (`start-comparison.sh`) | `Dockerfile.scale`, `Dockerfile.scale.standard` | 4GB | Balanced for 3-instance deployments (~12GB per cluster) | -**Azul Prime (C4) Configuration:** +**Common JVM options:** ```dockerfile +# Azul Prime (C4) - 8GB single instance example ENV JAVA_OPTS="-Xms8g -Xmx8g -XX:+AlwaysPreTouch -XX:+UseTransparentHugePages -Djava.net.preferIPv4Stack=true" -``` -**Standard JDK (G1GC) Configuration:** - -```dockerfile -ENV JAVA_OPTS="-Xms8g -Xmx8g -XX:+UseG1GC -XX:+AlwaysPreTouch -XX:+UseTransparentHugePages -Djava.net.preferIPv4Stack=true" +# Standard JDK (G1GC) - 4GB cluster example +ENV JAVA_OPTS="-Xms4g -Xmx4g -XX:+UseG1GC -XX:+AlwaysPreTouch -XX:+UseTransparentHugePages -Djava.net.preferIPv4Stack=true" ``` -**Infrastructure Improvements:** +**Infrastructure improvements:** -* **8GB Heap Size**: Increased from 2GB to 8GB to handle extreme memory pressure testing -* **Pre-touch Memory** (`-XX:+AlwaysPreTouch`): Pre-allocates heap pages to eliminate runtime allocation overhead -* **Transparent Huge Pages** (`-XX:+UseTransparentHugePages`): Reduces TLB misses for large memory operations -* **Enhanced GC Logging**: Detailed GC event logging with decorators for comprehensive analysis -* **Rate-Limited Logging**: Prevents log flooding during high-throughput operations -* **Maven Wrapper**: Ensures consistent build environments across platforms +- **Pre-touch Memory** (`-XX:+AlwaysPreTouch`): Pre-allocates heap pages to eliminate runtime allocation overhead +- **Transparent Huge Pages** (`-XX:+UseTransparentHugePages`): Reduces TLB misses for large memory operations +- **GC Logging**: Detailed event logging with decorators for analysis +- **Rate-Limited Logging**: Prevents log flooding during high-throughput operations -**Note:** We purposefully **do not** use `-XX:+UseZGC` in the Azul Prime image, as C4 is the native, optimized collector for Azul Platform Prime. +**Note:** Azul Platform Prime uses C4 by default; we don't specify `-XX:+UseZGC` since C4 is the native, optimized collector for Azul Prime. ### GC Monitoring & Stress Testing @@ -253,6 +256,7 @@ The application includes comprehensive GC monitoring and memory pressure testing **MemoryPressureService** provides controlled memory allocation to stress test GC performance: **Allocation Modes:** + * **OFF**: No additional allocation * **LOW**: 1 MB/sec - Light pressure * **MEDIUM**: 10 MB/sec - Moderate pressure @@ -260,6 +264,7 @@ The application includes comprehensive GC monitoring and memory pressure testing * **EXTREME**: 2 GB/sec - Extreme pressure Each mode allocates byte arrays in a background thread to create realistic memory pressure, allowing observation of: + * C4's concurrent collection vs G1GC's "stop-the-world" pauses * Latency impact under increasing memory pressure * Throughput degradation patterns @@ -267,6 +272,7 @@ Each mode allocates byte arrays in a background thread to create realistic memor #### GC Challenge Mode The web UI includes **GC Challenge Mode** controls that allow: + * Real-time switching between allocation modes * Visual feedback showing current stress level * Side-by-side pause time visualization @@ -276,200 +282,36 @@ This feature enables live demonstration of how Azul C4 maintains low pause times ## 📊 Monitoring & Observability -TradeStreamEE includes comprehensive monitoring infrastructure to compare JVM performance between Azul C4 and standard G1GC configurations. - -### Monitoring Stack +When running `./start-comparison.sh all`, the following monitoring stack is deployed: -| Component | Technology | Purpose | Access | -|:-----------------------|:--------------------------|:--------------------------------|:-------------------------------------------------------| -| **Metrics Collection** | Prometheus + JMX Exporter | JVM GC metrics, memory, threads | http://localhost:9090 | -| **Visualization** | Grafana | Performance dashboards | http://localhost:3000 (admin/admin) | -| **Log Aggregation** | Loki + Promtail | Centralized log management | http://localhost:3100 | -| **Load Balancing** | Traefik | Traffic distribution + metrics | http://localhost:8080 (C4), http://localhost:9080 (G1) | +| Component | Access | Purpose | +|:----------------------|:------------------------------------|:------------------------------| +| **Grafana Dashboard** | http://localhost:3000 (admin/admin) | JVM comparison dashboards | +| **Prometheus** | http://localhost:9090 | Metrics collection | +| **Loki** | http://localhost:3100 | Log aggregation | +| **C4 Application** | http://localhost:8080 (Traefik LB) | Azul C4 cluster (3 instances) | +| **G1 Application** | http://localhost:9080 (Traefik LB) | G1GC cluster (3 instances) | -### JVM Comparison Dashboard +**Direct instance access:** -The pre-configured Grafana dashboard provides: +- C4 instances: http://localhost:8081, http://localhost:8082, http://localhost:8083 +- G1 instances: http://localhost:9081, http://localhost:9082, http://localhost:9083 -* **GC Pause Time Comparison** - P99 latency comparison between C4 and G1GC -* **GC Collection Count Rate** - Collection frequency analysis -* **Heap Memory Usage** - Real-time memory utilization -* **Thread Count** - Concurrent thread monitoring -* **GC Pause Distribution** - Heatmap showing pause time patterns -* **Performance Summary** - Key metrics with threshold alerts +### Stress Testing -### Starting the Observability Stack - -#### Option 1: Automated Setup (Recommended) - -Use the provided `start-comparison.sh` script for complete automated deployment: +Use the UI or API to apply memory pressure and observe GC behavior differences: ```bash -# Deploy entire JVM comparison stack -./start-comparison.sh -``` - -This script automatically: -* Creates the monitoring directory structure -* Downloads the JMX Prometheus exporter -* Builds the application and Docker images -* Creates required Docker networks -* Starts the complete monitoring stack (Prometheus, Grafana, Loki) -* Deploys both C4 and G1GC clusters with load balancers - -#### Option 2: Manual Setup - -For granular control, start components manually: - -```bash -# Create required networks -docker network create trader-network -docker network create monitoring - -# Start monitoring infrastructure -docker-compose -f docker-compose-monitoring.yml up -d - -# Start C4 cluster (Azul Prime) -docker-compose -f docker-compose-c4.yml up -d - -# Start G1 cluster (Eclipse Temurin) -docker-compose -f docker-compose-g1.yml up -d - -# View monitoring stack status -docker-compose -f docker-compose-monitoring.yml ps -``` - -#### Stopping the Comparison - -Use the provided stop script: - -```bash -# Stop all comparison services -./stop-comparison.sh - -# Stop all comparison services and remove volumes -./stop-comparison.sh --prune -``` - -### Access Points - -After starting the observability stack: - -* **Grafana Dashboard**: http://localhost:3000 (admin/admin) -* **C4 Application**: http://localhost:8080 (via Traefik load balancer) -* **G1 Application**: http://localhost:9080 (via Traefik load balancer) -* **Prometheus**: http://localhost:9090 -* **Individual C4 instances**: http://localhost:8081, http://localhost:8082, http://localhost:8083 -* **Individual G1 instances**: http://localhost:9081, http://localhost:9082, http://localhost:9083 - -### Monitoring Configuration - -#### JMX Exporter - -Each JVM instance runs a JMX exporter agent that exposes: -* Garbage collection metrics (pause times, collection counts) -* Memory pool usage (heap/non-heap) -* Thread information -* Custom application metrics - -#### Prometheus Configuration - -The Prometheus setup (`monitoring/prometheus/prometheus.yml`) scrapes: -* JMX metrics from all JVM instances (ports 9010-9022) -* Traefik metrics for load balancer performance -* Self-monitoring metrics - -#### Log Collection - -Promtail automatically collects and ships container logs to Loki, enabling: -* Log-based troubleshooting -* Correlation of performance issues with application events -* JVM type and instance label-based filtering - -### Stress Testing the Comparison - -After deploying the observability stack, you can stress test both JVM configurations to observe the performance differences: - -#### Memory Pressure API Endpoints - -```bash -# Set allocation mode for memory pressure testing +# Apply extreme memory pressure via API curl -X POST http://localhost:8080/api/pressure/mode/EXTREME # C4 cluster curl -X POST http://localhost:9080/api/pressure/mode/EXTREME # G1GC cluster -# Available modes: OFF, LOW, MEDIUM, HIGH, EXTREME - # Get current GC statistics curl http://localhost:8080/api/gc/stats curl http://localhost:9080/api/gc/stats -# Reset GC statistics -curl -X POST http://localhost:8080/api/gc/reset -curl -X POST http://localhost:9080/api/gc/reset -``` - -#### UI-Based Testing - -The web interface provides interactive controls: - -* **GC Challenge Mode Panel**: Select allocation modes with visual buttons -* **Real-time Pause Time Chart**: Shows GC pauses as they occur -* **Backend Message Rate Display**: Monitor throughput impact -* **Visual Feedback**: Immediate color-coded response to mode changes - -#### Expected Results - -The stress tests will: -1. Generate controlled allocation rates (1 MB to 2 GB per second) -2. Create realistic memory pressure scenarios -3. Allow real-time comparison of pause times between C4 and G1GC -4. Demonstrate C4's concurrent collection vs G1GC's "stop-the-world" pauses -5. Show latency impact and throughput degradation patterns -6. Visualize the "pauseless" characteristics of C4 under extreme load - -**Sample GC Stats Response:** - -```json -{ - "gcName": "C4", - "collectionCount": 1543, - "collectionTime": 8934, - "lastPauseDuration": 0.5, - "percentiles": { - "p50": 0.3, - "p95": 1.2, - "p99": 2.8, - "p999": 5.6, - "max": 12.4 - }, - "totalMemory": 8589934592, - "usedMemory": 3221225472, - "freeMemory": 5368709120 -} -``` - -## 📊 Application Metrics - -The application exposes a lightweight REST endpoint for health checks and internal metrics. - -**Check Status:** - -```bash -./start.sh status -``` - -**Sample Output:** - -```json -{ - "application": "TradeStreamEE", - "subscriber": "Channel: aeron:ipc, Stream: 1001, Running: true", - "publisher": { "messagesPublished": 1543021 }, - "runtime": { - "gcType": "GPGC", - "freeMemory": "1450 MB" - } -} +# Available modes: OFF, LOW, MEDIUM, HIGH, EXTREME +# Allocation rates: 0 MB/s, 1 MB/s, 10 MB/s, 500 MB/s, 2 GB/s ``` ## 📂 Project Structure @@ -526,12 +368,14 @@ Dockerfile.scale.standard # Build for G1GC instances ### Current Test Coverage **✅ Working Tests (160/160 passing):** + - **Monitoring & GC**: Full coverage of SLA monitoring logic and GC notification handling. - **REST Resources**: Comprehensive tests for Memory Pressure and GC Stats endpoints. - **Core Logic**: Validated `AllocationMode` and concurrency configurations. - **WebSockets**: Verified `MarketDataBroadcaster` functionality and session management. **📊 Coverage Metrics:** + - **Tests**: 160 unit tests with 100% pass rate - **Monitoring Coverage**: >90% (SLAMonitor, GCStatsService) - **REST API Coverage**: >85% (Resources and DTOs) diff --git a/src/main/java/fish/payara/resource/HelloWorldResource.java b/src/main/java/fish/payara/resource/HelloWorldResource.java index 42aa048..83991fa 100644 --- a/src/main/java/fish/payara/resource/HelloWorldResource.java +++ b/src/main/java/fish/payara/resource/HelloWorldResource.java @@ -32,8 +32,8 @@ public class HelloWorldResource { }) @Counted(name = "helloEndpointCount", description = "Count of calls to the hello endpoint") @Timed(name = "helloEndpointTime", description = "Time taken to execute the hello endpoint") - @Timeout(3000) // Timeout after 3 seconds - @Retry(maxRetries = 3) // Retry the request up to 3 times on failure + @Timeout(3000) + @Retry(maxRetries = 3) @Fallback(fallbackMethod = "fallbackMethod") public Response hello( @QueryParam("name") @@ -50,7 +50,6 @@ public Response hello( } public Response fallbackMethod(@QueryParam("name") String name) { - // Fallback logic when the hello method fails or exceeds retries return Response.ok("Fallback data").build(); } } diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java b/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java index 4b743d1..d0ea6a6 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java @@ -21,28 +21,23 @@ public class MarketDataFragmentHandler implements FragmentHandler { private static final Logger LOGGER = Logger.getLogger(MarketDataFragmentHandler.class.getName()); - // SBE Message Header Decoder (reusable flyweight) private final MessageHeaderDecoder headerDecoder = new MessageHeaderDecoder(); - // SBE Message Decoders (reusable flyweights) private final TradeDecoder tradeDecoder = new TradeDecoder(); private final QuoteDecoder quoteDecoder = new QuoteDecoder(); private final MarketDepthDecoder marketDepthDecoder = new MarketDepthDecoder(); private final OrderAckDecoder orderAckDecoder = new OrderAckDecoder(); private final HeartbeatDecoder heartbeatDecoder = new HeartbeatDecoder(); - // Statistics private long messagesProcessed = 0; private long messagesBroadcast = 0; private long lastLogTime = System.currentTimeMillis(); - // Sampling: Only broadcast 1 in N messages to avoid overwhelming browser private static final int SAMPLE_RATE = 50; private long sampleCounter = 0; @Inject MarketDataBroadcaster broadcaster; - // Optimization: Reusable buffers to reduce allocation private final byte[] symbolBuffer = new byte[128]; private final StringBuilder sb = new StringBuilder(1024); @@ -105,14 +100,12 @@ private void processTrade( tradeDecoder.wrap(buffer, offset, blockLength, version); - // Extract fields from SBE decoder final long timestamp = tradeDecoder.timestamp(); final long tradeId = tradeDecoder.tradeId(); final long price = tradeDecoder.price(); final long quantity = tradeDecoder.quantity(); final Side side = tradeDecoder.side(); - // Extract variable-length symbol string using reusable buffer final int symbolLength = tradeDecoder.symbolLength(); tradeDecoder.getSymbol(symbolBuffer, 0, symbolLength); final String symbol = new String(symbolBuffer, 0, symbolLength); @@ -222,7 +215,6 @@ private void processMarketDepth( } sb.append("]"); - // Must extract symbol after traversing groups in SBE for correct position in buffer final int symbolLength = marketDepthDecoder.symbolLength(); marketDepthDecoder.getSymbol(symbolBuffer, 0, symbolLength); final String symbol = new String(symbolBuffer, 0, symbolLength); @@ -232,7 +224,6 @@ private void processMarketDepth( broadcaster.broadcast(sb.toString()); } - /** Process OrderAck message */ private void processOrderAck( DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { if (!shouldBroadcast) { @@ -288,23 +279,20 @@ private void processOrderAck( broadcaster.broadcast(sb.toString()); } - /** Process Heartbeat message */ private void processHeartbeat(DirectBuffer buffer, int offset, int blockLength, int version) { heartbeatDecoder.wrap(buffer, offset, blockLength, version); final long timestamp = heartbeatDecoder.timestamp(); final long sequenceNumber = heartbeatDecoder.sequenceNumber(); - // Log heartbeats but don't broadcast them if (LOGGER.isLoggable(Level.FINE)) { LOGGER.fine("Heartbeat: timestamp=" + timestamp + ", seq=" + sequenceNumber); } } - /** Log statistics periodically */ private void logStatistics() { long now = System.currentTimeMillis(); - if (now - lastLogTime > 5000) { // Log every 5 seconds + if (now - lastLogTime > 5000) { double elapsedSeconds = (now - lastLogTime) / 1000.0; LOGGER.info( String.format( diff --git a/src/main/java/fish/payara/trader/gc/GCStatsService.java b/src/main/java/fish/payara/trader/gc/GCStatsService.java index 5239af2..187ddcb 100644 --- a/src/main/java/fish/payara/trader/gc/GCStatsService.java +++ b/src/main/java/fish/payara/trader/gc/GCStatsService.java @@ -72,7 +72,6 @@ public void handleNotification(Notification notification, Object handback) { history.removeFirst(); } - // Log significant pauses (> 10ms) if (duration > 10) { LOGGER.info( String.format( @@ -102,7 +101,6 @@ public List collectGCStats() { stats.setCollectionCount(gcBean.getCollectionCount()); stats.setCollectionTime(gcBean.getCollectionTime()); - // Get recent pauses from accurate history ConcurrentLinkedDeque history = pauseHistory.get(gcName); if (history != null && !history.isEmpty()) { List pauses = new ArrayList<>(history); @@ -110,7 +108,6 @@ public List collectGCStats() { stats.setRecentPauses(pauses.subList(Math.max(0, pauses.size() - 100), pauses.size())); - // Calculate percentiles List sortedPauses = pauses.stream().sorted().collect(Collectors.toList()); stats.setPercentiles(calculatePercentiles(sortedPauses)); @@ -120,7 +117,6 @@ public List collectGCStats() { stats.setPercentiles(new GCStats.PausePercentiles(0, 0, 0, 0, 0)); } - // Memory stats stats.setTotalMemory(heapUsage.getMax()); stats.setUsedMemory(heapUsage.getUsed()); stats.setFreeMemory(heapUsage.getMax() - heapUsage.getUsed()); diff --git a/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java b/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java index 3774922..c45adcb 100644 --- a/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java +++ b/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java @@ -19,27 +19,19 @@ import javax.management.NotificationListener; import javax.management.openmbean.CompositeData; -/** - * Real-time GC pause monitoring using JMX notifications. Captures individual GC events with exact - * pause times (not averaged). - */ @ApplicationScoped public class GCPauseMonitor implements NotificationListener { private static final Logger LOGGER = Logger.getLogger(GCPauseMonitor.class.getName()); - // Keep last N pauses for percentile calculations (reactive window) private static final int MAX_PAUSE_HISTORY = 500; - // Pause history (milliseconds) private final ConcurrentLinkedDeque pauseHistory = new ConcurrentLinkedDeque<>(); - // All-time statistics private final AtomicLong totalPauseCount = new AtomicLong(0); private final AtomicLong totalPauseTimeMs = new AtomicLong(0); private volatile long maxPauseMs = 0; - // SLA violation counters (all-time) private final AtomicLong violationsOver10ms = new AtomicLong(0); private final AtomicLong violationsOver50ms = new AtomicLong(0); private final AtomicLong violationsOver100ms = new AtomicLong(0); @@ -91,9 +83,6 @@ public void handleNotification(Notification notification, Object handback) { GarbageCollectionNotificationInfo info = GarbageCollectionNotificationInfo.from(cd); String gcName = info.getGcName(); - // FILTERING LOGIC: - // Azul C4 exposes "GPGC" (Concurrent Cycle) and "GPGC Pauses" (STW Pauses). - // We MUST ignore "GPGC" because it reports cycle time (hundreds of ms) which is NOT a pause. if ("GPGC".equals(gcName) || (gcName.contains("Cycles") && !gcName.contains("Pauses"))) { return; } @@ -101,7 +90,6 @@ public void handleNotification(Notification notification, Object handback) { GcInfo gcInfo = info.getGcInfo(); long pauseMs = gcInfo.getDuration(); - // Record pause recordPause(pauseMs, gcName, info.getGcAction()); } catch (Exception e) { @@ -110,17 +98,14 @@ public void handleNotification(Notification notification, Object handback) { } private void recordPause(long pauseMs, String gcName, String gcAction) { - // Add to history pauseHistory.addLast(pauseMs); if (pauseHistory.size() > MAX_PAUSE_HISTORY) { pauseHistory.removeFirst(); } - // Update statistics totalPauseCount.incrementAndGet(); totalPauseTimeMs.addAndGet(pauseMs); - // Update max (thread-safe but may miss true max in race condition - acceptable for monitoring) if (pauseMs > maxPauseMs) { synchronized (this) { if (pauseMs > maxPauseMs) { @@ -129,7 +114,6 @@ private void recordPause(long pauseMs, String gcName, String gcAction) { } } - // Track SLA violations if (pauseMs > 100) { violationsOver100ms.incrementAndGet(); violationsOver50ms.incrementAndGet(); @@ -141,7 +125,6 @@ private void recordPause(long pauseMs, String gcName, String gcAction) { violationsOver10ms.incrementAndGet(); } - // Log significant pauses if (pauseMs > 100) { LOGGER.warning( String.format("Large GC pause detected: %d ms [%s - %s]", pauseMs, gcName, gcAction)); @@ -210,7 +193,7 @@ public static class GCPauseStats { public final long p95Ms; public final long p99Ms; public final long p999Ms; - public final long maxMs; // All-time max since startup/reset + public final long maxMs; public final long violationsOver10ms; public final long violationsOver50ms; public final long violationsOver100ms; diff --git a/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java b/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java index 5e48f73..09518d2 100644 --- a/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java +++ b/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java @@ -10,21 +10,17 @@ public class SLAMonitorService { private static final Logger LOGGER = Logger.getLogger(SLAMonitorService.class.getName()); - // SLA thresholds private static final long SLA_10MS = 10; private static final long SLA_50MS = 50; private static final long SLA_100MS = 100; - // Violation counters private final AtomicLong violationsOver10ms = new AtomicLong(0); private final AtomicLong violationsOver50ms = new AtomicLong(0); private final AtomicLong violationsOver100ms = new AtomicLong(0); private final AtomicLong totalOperations = new AtomicLong(0); - // Rolling window (last 5 minutes) private final ConcurrentHashMap violationsByMinute = new ConcurrentHashMap<>(); - /** Record an operation latency and check for SLA violations */ public void recordOperation(long latencyMs) { totalOperations.incrementAndGet(); @@ -47,12 +43,10 @@ private void recordViolation() { long currentMinute = System.currentTimeMillis() / 60000; violationsByMinute.merge(currentMinute, 1L, Long::sum); - // Clean up old entries (> 5 minutes) long fiveMinutesAgo = currentMinute - 5; violationsByMinute.keySet().removeIf(minute -> minute < fiveMinutesAgo); } - /** Get SLA compliance statistics */ public SLAStats getStats() { long total = totalOperations.get(); diff --git a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java index 29008a9..9946760 100644 --- a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java +++ b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java @@ -30,9 +30,8 @@ public class MemoryPressureService { private long totalBytesAllocated = 0; private long lastStatsTime = System.currentTimeMillis(); - // Long-lived objects that survive to tenured/old generation private final List tenuredObjects = new CopyOnWriteArrayList<>(); - private static final int TENURED_TARGET_MB = 1024; // Target 1GB in old gen + private static final int TENURED_TARGET_MB = 1024; private final AtomicLong tenuredBytesAllocated = new AtomicLong(0); @Inject @VirtualThreadExecutor private ManagedExecutorService executorService; @@ -78,13 +77,10 @@ private synchronized void startPressure() { break; } - // Generate garbage for this iteration generateGarbage(mode); - // Sleep 100ms between iterations (10 iterations/sec) Thread.sleep(100); - // Log stats every 5 seconds logStats(); } catch (InterruptedException e) { @@ -112,7 +108,6 @@ private void generateGarbage(AllocationMode mode) { int bytesPerAlloc = mode.getBytesPerAllocation(); for (int i = 0; i < allocations; i++) { - // Mix different allocation patterns int pattern = i % 4; switch (pattern) { @@ -130,14 +125,11 @@ private void generateGarbage(AllocationMode mode) { break; } - // NEW: Create long-lived objects inside the loop for higher impact if (mode == AllocationMode.HIGH || mode == AllocationMode.EXTREME) { - // 0.1% chance in EXTREME (20 objects/iteration = 200MB/s) - // 0.02% chance in HIGH (1 object/iteration = 10MB/s) int chance = (mode == AllocationMode.EXTREME) ? 10 : 2; if (ThreadLocalRandom.current().nextInt(10000) < chance) { - byte[] longLived = new byte[1024 * 1024]; // 1MB object - ThreadLocalRandom.current().nextBytes(longLived); // Prevent optimization + byte[] longLived = new byte[1024 * 1024]; + ThreadLocalRandom.current().nextBytes(longLived); tenuredObjects.add(longLived); tenuredBytesAllocated.addAndGet(1024 * 1024); } @@ -146,7 +138,6 @@ private void generateGarbage(AllocationMode mode) { totalBytesAllocated += bytesPerAlloc; } - // Maintain target size - remove oldest when limit reached if (mode == AllocationMode.HIGH || mode == AllocationMode.EXTREME) { while (tenuredBytesAllocated.get() > TENURED_TARGET_MB * 1024L * 1024L) { if (!tenuredObjects.isEmpty()) { @@ -157,7 +148,6 @@ private void generateGarbage(AllocationMode mode) { } } } else if (mode == AllocationMode.OFF || mode == AllocationMode.LOW) { - // Clear tenured objects when stress is reduced if (!tenuredObjects.isEmpty()) { tenuredObjects.clear(); tenuredBytesAllocated.set(0); @@ -166,20 +156,16 @@ private void generateGarbage(AllocationMode mode) { } private void generateStringGarbage(int bytes) { - // Create strings via concatenation (generates intermediate garbage) StringBuilder sb = new StringBuilder(bytes); for (int i = 0; i < bytes / 10; i++) { sb.append("GARBAGE"); } String garbage = sb.toString(); - // String is now eligible for GC } private void generateByteArrayGarbage(int bytes) { byte[] garbage = new byte[bytes]; - // Fill with random data to prevent compiler optimization ThreadLocalRandom.current().nextBytes(garbage); - // Array is now eligible for GC } private void generateObjectGarbage(int count) { @@ -187,7 +173,6 @@ private void generateObjectGarbage(int count) { for (int i = 0; i < count; i++) { garbage.add(new DummyObject(i, "data-" + i, System.nanoTime())); } - // List and objects are now eligible for GC } private void generateCollectionGarbage(int count) { @@ -195,7 +180,6 @@ private void generateCollectionGarbage(int count) { for (int i = 0; i < count; i++) { garbage.add(ThreadLocalRandom.current().nextInt()); } - // List is now eligible for GC } private void logStats() { @@ -236,7 +220,6 @@ public boolean isRunning() { return running; } - /** Dummy object for allocation testing */ private static class DummyObject { private final int id; private final String data; diff --git a/src/main/java/fish/payara/trader/rest/ApplicationConfig.java b/src/main/java/fish/payara/trader/rest/ApplicationConfig.java index 1dd3f0f..22bacc1 100644 --- a/src/main/java/fish/payara/trader/rest/ApplicationConfig.java +++ b/src/main/java/fish/payara/trader/rest/ApplicationConfig.java @@ -3,8 +3,5 @@ import jakarta.ws.rs.ApplicationPath; import jakarta.ws.rs.core.Application; -/** JAX-RS application configuration */ @ApplicationPath("/api") -public class ApplicationConfig extends Application { - // All REST resources will be available at /api/* -} +public class ApplicationConfig extends Application {} diff --git a/src/main/java/fish/payara/trader/rest/GCStatsResource.java b/src/main/java/fish/payara/trader/rest/GCStatsResource.java index 15a5ce1..bf4eb25 100644 --- a/src/main/java/fish/payara/trader/rest/GCStatsResource.java +++ b/src/main/java/fish/payara/trader/rest/GCStatsResource.java @@ -73,15 +73,14 @@ public Response getComparison() { } comparison.put("instanceName", instanceName); - // Identify which JVM is running String jvmVendor = System.getProperty("java.vm.vendor"); String jvmName = System.getProperty("java.vm.name"); List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); String gcName = gcBeans.stream().map(GarbageCollectorMXBean::getName).collect(Collectors.joining(", ")); - // More accurate check: C4 collector's MXBean is named "GPGC" - boolean isAzulC4 = gcBeans.stream().anyMatch(bean -> "GPGC".equals(bean.getName())); + boolean isAzulC4 = + jvmVendor != null && (jvmVendor.contains("Azul") || jvmName.contains("Zing")); comparison.put("jvmVendor", jvmVendor); comparison.put("jvmName", jvmName); @@ -89,18 +88,15 @@ public Response getComparison() { comparison.put("isAzulC4", isAzulC4); comparison.put("heapSizeMB", Runtime.getRuntime().maxMemory() / (1024 * 1024)); - // Current stress level comparison.put("allocationMode", memoryPressureService.getCurrentMode()); comparison.put( "allocationRateMBps", memoryPressureService.getCurrentMode().getBytesPerSecond() / (1024 * 1024)); comparison.put("messageRate", publisher.getMessagesPublished()); - // GC Performance Metrics (keep old stats for backward compatibility) List stats = gcStatsService.collectGCStats(); comparison.put("gcStats", stats); - // Critical comparison metrics - USE ACCURATE GC PAUSE MONITOR fish.payara.trader.monitoring.GCPauseMonitor.GCPauseStats pauseStats = gcPauseMonitor.getStats(); comparison.put("pauseP50Ms", pauseStats.p50Ms); @@ -112,11 +108,10 @@ public Response getComparison() { comparison.put("totalPauseCount", pauseStats.totalPauseCount); comparison.put("totalPauseTimeMs", pauseStats.totalPauseTimeMs); - // SLA violation tracking (accurate counts since startup/reset) comparison.put("slaViolations10ms", pauseStats.violationsOver10ms); comparison.put("slaViolations50ms", pauseStats.violationsOver50ms); comparison.put("slaViolations100ms", pauseStats.violationsOver100ms); - comparison.put("pauseSampleSize", pauseStats.sampleSize); // For transparency + comparison.put("pauseSampleSize", pauseStats.sampleSize); return Response.ok(comparison).build(); } @@ -125,7 +120,6 @@ public Response getComparison() { @Path("/stats") @Produces(MediaType.APPLICATION_JSON) public Response getGCStats() { - LOGGER.fine("GET /api/gc/stats - Collecting GC statistics"); List stats = gcStatsService.collectGCStats(); LOGGER.info(String.format("GET /api/gc/stats - Returned %d GC collector stats", stats.size())); return Response.ok(stats).build(); diff --git a/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java b/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java index 5165d5c..5922478 100644 --- a/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java +++ b/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java @@ -13,7 +13,6 @@ import java.util.logging.Logger; import java.util.stream.Collectors; -/** REST endpoint for controlling memory pressure testing */ @Path("/pressure") public class MemoryPressureResource { @@ -49,7 +48,6 @@ public String getDescription() { @Produces(MediaType.APPLICATION_JSON) public Response getStatus() { AllocationMode currentMode = pressureService.getCurrentMode(); - LOGGER.fine(String.format("GET /api/pressure/status - Current mode: %s", currentMode.name())); Map status = new HashMap<>(); status.put("currentMode", currentMode.name()); diff --git a/src/main/java/fish/payara/trader/rest/StatusResource.java b/src/main/java/fish/payara/trader/rest/StatusResource.java index c91f006..46b895c 100644 --- a/src/main/java/fish/payara/trader/rest/StatusResource.java +++ b/src/main/java/fish/payara/trader/rest/StatusResource.java @@ -31,7 +31,6 @@ public class StatusResource { public Response getStatus() { Map status = new HashMap<>(); - // Get instance name from environment variable String instanceName = System.getenv("PAYARA_INSTANCE_NAME"); if (instanceName == null) { instanceName = "standalone"; diff --git a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java index 61c997a..5dd4370 100644 --- a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java +++ b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java @@ -50,7 +50,6 @@ public void init() { clusterTopic = hazelcastInstance.getTopic(TOPIC_NAME); clusterTopic.addMessageListener( message -> { - // Broadcast to local WebSocket sessions only broadcastLocal(message.getMessageObject()); }); LOGGER.info("Subscribed to Hazelcast topic: " + TOPIC_NAME + " (clustered mode)"); @@ -69,7 +68,6 @@ public void addSession(Session session) { LOGGER.info("WebSocket session added. Total sessions: " + sessions.size()); } - /** Unregister a WebSocket session */ public void removeSession(Session session) { sessions.remove(session); LOGGER.info("WebSocket session removed. Total sessions: " + sessions.size()); @@ -88,7 +86,6 @@ public void removeSession(Session session) { */ public void broadcast(String jsonMessage) { if (clusterTopic != null) { - // Publish to cluster-wide topic try { clusterTopic.publish(jsonMessage); } catch (Exception e) { @@ -99,7 +96,6 @@ public void broadcast(String jsonMessage) { broadcastLocal(jsonMessage); } } else { - // Standalone mode - broadcast locally only broadcastLocal(jsonMessage); } } @@ -145,7 +141,6 @@ private void broadcastLocal(String jsonMessage) { * a heavier protocol or inefficient data packaging. */ public void broadcastWithArtificialLoad(String jsonMessage) { - // Generate 1KB of padding to increase payload size and allocation String padding = "X".repeat(1024); // Wrap the original message in a new JSON structure diff --git a/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java b/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java index 0ed3f73..c1978e6 100644 --- a/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java +++ b/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java @@ -29,7 +29,6 @@ public void onOpen(Session session) { LOGGER.info("WebSocket connection opened: " + session.getId()); broadcaster.addSession(session); - // Send welcome message with current mode try { String welcomeJson = String.format( @@ -59,10 +58,8 @@ public void onError(Session session, Throwable throwable) { @OnMessage public void onMessage(String message, Session session) { - // Handle client messages if needed (e.g., subscription requests) LOGGER.fine("Received message from client: " + message); - // Echo back for now try { session.getBasicRemote().sendText("{\"type\":\"ack\",\"message\":\"Message received\"}"); } catch (Exception e) { diff --git a/src/main/webapp/index.html b/src/main/webapp/index.html index 3e33d64..d9567ee 100644 --- a/src/main/webapp/index.html +++ b/src/main/webapp/index.html @@ -9,7 +9,6 @@ + + +
+
+ +
+ +

Pauseless Java for Financial Systems

+

Azul C4 + Payara Micro for Low-Latency Trading

+

+ TradeStreamEE
+ A Reference Architecture for High-Frequency Trading +

+
+ + +
+

The Problem: GC Pauses in Financial Systems

+

Why Traditional Java Struggles with HFT

+
+
+

The Challenge

+
    +
  • HFT processes millions of messages/second
    • +
  • Latency budgets measured in microseconds
    • +
  • Single 50ms pause = missed trades
    • +
  • Unpredictable latency violates SLAs
    • +
+
+
+

The Cause

+
    +
  • G1 uses stop-the-world pauses
    • +
  • All application threads halt during GC
    • +
  • Pause time scales with heap size
    • +
  • Mixed collections can exceed 100ms
    • +
+
+
+

+ A 100ms pause at 10,000 messages/second = 1,000 messages delayed +

+
+ + +
+

Garbage Collection Fundamentals

+

Key Terminology

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TermDefinition
Young GenerationWhere new objects are allocated. Collected frequently.
Old GenerationWhere long-lived objects reside after surviving young GCs.
PromotionMoving objects from young to old generation.
Live SetTotal reachable objects. Larger = more GC work.
Stop-the-WorldAll application threads pause for GC to complete.
Concurrent CollectionGC runs alongside application threads. No pause.
+
+ + +
+

G1 vs C4: Execution Timeline

+

What Happens During Collection

+
+

G1GC (Stop-the-World)

+
+
App
+
STOP
+
App
+
STOP
+
App
+
MIXED
+
App
+
+

Application threads halt during red blocks. Latency spikes occur.

+
+
+

Azul C4 (Concurrent)

+
+
Application runs continuously
+
+
+
Mark
+
+
Relocate
+
+
Remap
+
+

GC runs concurrently. Application never stops. Flat latency profile.

+
+
+ + +
+

G1's Architectural Limitations

+

Why Stop-the-World is Unavoidable

+
+
+

Mixed Collections

+
    +
  • Must trace entire live set
    • +
  • Pause scales with heap size
    • +
  • 2GB heap: 50-100ms pauses
    • +
  • 4GB heap: 100-200ms pauses
    • +
+
+
+

Remembered Sets

+
    +
  • Track old-to-young references
    • +
  • Write barrier on every pointer update
    • +
  • Scanned during young GC
    • +
  • Overhead proportional to cross-refs
    • +
+
+
+
+

Compaction Pauses

+

When heap fragments, G1 must stop all threads to compact memory. Small objects with random lifetimes trigger frequent compaction. No concurrent solution in G1.

+
+
+ + +
+

Azul C4: Concurrent by Design

+

How Pauseless Collection Works

+
+
+

Read Barriers

+
    +
  • Check object state on every read
    • +
  • Relocate objects on-the-fly
    • +
  • No stop-the-world compaction
    • +
  • Hardware-assisted (LVB)
    • +
+
+
+

No Generations

+
    +
  • Single heap region
    • +
  • No remembered sets needed
    • +
  • No write barrier overhead
    • +
  • Simpler, more predictable
    • +
+
+
+
+

Result: Pause times remain under 1ms regardless of heap size or live set.

+
+
+ + +
+

Testing GC Behavior: Scenario Approach

+

Targeting Specific Collector Weaknesses

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ScenarioRateLive SetG1 Weakness Tested
STEADY_LOAD200 MB/s512 MBYoung GC pause frequency
GROWING_HEAP150 MB/s100MB → 2GBMixed collection pause scaling
PROMOTION_STORM300 MB/s1 GB (50% survival)Old generation pressure
FRAGMENTATION200 MB/s1 GB fragmentedCompaction pauses
CROSS_GEN_REFS150 MB/s800 MB old genRemembered set overhead
+

+ Each scenario uses 4 parallel threads to mirror production workloads. +

+
+ + +
+

CROSS_GEN_REFS: Remembered Set Stress

+

Testing G1's Write Barrier Overhead

+ 

+private static class RefHolder {
+    volatile Object youngRef;  // Updated frequently
+    final byte[] padding;      // 1MB to ensure old gen residence
+}
+
+private void createCrossGenerationalRefs(int bytes, int threads) {
+    RefHolder[] holders = crossRefHolders.toArray(new RefHolder[0]);
+
+    for (int t = 0; t < threads; t++) {
+        futures[t] = CompletableFuture.runAsync(() -> {
+            while (remaining > 0) {
+                byte[] youngObj = new byte[size];
+                // This write triggers G1's post-write barrier
+                holders[idx].youngRef = youngObj;
+                remaining -= size;
+            }
+        }, executorService);
+    }
+}
+
+

+ G1: Every pointer update marks card table, adds to remembered set.
+ C4: No generations = no remembered sets = no overhead. +

+
+ + +
+

TradeStreamEE Architecture

+

Zero-Copy Pipeline for Market Data

+
+
Publisher
Market Data
+
→
+
SBE
Binary Encode
+
→
+
Aeron IPC
Shared Memory
+
→
+
Payara
WebSocket
+
→
+
Browser
Dashboard
+
+
+
+

Ingestion Layer

+
    +
  • Aeron IPC: Kernel bypass, shared memory
    • +
  • SBE: Flyweight pattern, zero allocation
    • +
  • Sub-microsecond message latency
    • +
+
+
+

Application Layer

+
    +
  • Payara Micro 7: Jakarta EE 11
    • +
  • CDI: Lifecycle management
    • +
  • WebSocket: Real-time push
    • +
+
+
+
+ + +
+

SBE: Zero-Copy Message Processing

+

The Flyweight Pattern

+ 

+// Reusable decoders - no allocation in hot path
+private final TradeDecoder tradeDecoder = new TradeDecoder();
+private final MessageHeaderDecoder headerDecoder = new MessageHeaderDecoder();
+
+@Override
+public void onFragment(DirectBuffer buffer, int offset, int length, Header header) {
+    // Wrap existing buffer - no copy
+    headerDecoder.wrap(buffer, offset);
+
+    // Move decoder "window" over buffer - no allocation
+    tradeDecoder.wrap(buffer,
+                     offset + headerDecoder.encodedLength(),
+                     headerDecoder.blockLength(),
+                     headerDecoder.version());
+
+    // Read directly from buffer
+    final long timestamp = tradeDecoder.timestamp();
+    final long price = tradeDecoder.price();
+    final long quantity = tradeDecoder.quantity();
+}
+
+

+ Decoders are views over byte buffers. No Java objects created during message processing. +

+
+ + +
+

Aeron: Ultra-Low Latency Transport

+

Bypassing the Kernel

+
+
+

Traditional Messaging

+
    +
  • TCP/IP socket calls
    • +
  • Kernel context switches
    • +
  • Buffer copies at each layer
    • +
  • Serialization/deserialization
    • +
  • Latency: 10-100+ microseconds
    • +
+
+
+

Aeron IPC

+
    +
  • Memory-mapped files
    • +
  • Direct memory access
    • +
  • Zero-copy with SBE
    • +
  • No kernel involvement
    • +
  • Latency: sub-microsecond
    • +
+
+
+
+

Aeron's ring buffer in shared memory allows components on the same machine to communicate without network overhead. Combined with SBE, the entire path from publisher to subscriber involves no object allocation.

+
+
+ + +
+

Payara Micro: Enterprise Runtime

+

Jakarta EE 11 for Financial Applications

+
+
+

Features

+
    +
  • ~100MB footprint
    • +
  • Fast startup (seconds)
    • +
  • Jakarta CDI for DI
    • +
  • Jakarta WebSocket
    • +
  • Jakarta REST (JAX-RS)
    • +
  • Jakarta Concurrency 3.1
    • +
+
+
+

Clustering

+
    +
  • Hazelcast built-in
    • +
  • Automatic discovery
    • +
  • Distributed counters
    • +
  • Session replication
    • +
  • No external infrastructure
    • +
+
+
+ 

+// Cluster-wide metrics without complex setup
+@Inject private HazelcastInstance hazelcastInstance;
+
+public void init() {
+    clusterMessageCounter =
+        hazelcastInstance.getCPSubsystem().getAtomicLong("cluster-message-count");
+}
+
+
+ + +
+

Jakarta Concurrency 3.1

+

Virtual Threads for Memory Pressure Testing

+ 

+@Resource
+private ManagedExecutorService executorService;
+
+private void allocateTransientGarbageMultiThreaded(int totalBytes, int numThreads) {
+    int bytesPerThread = totalBytes / numThreads;
+    CompletableFuture<?>[] futures = new CompletableFuture[numThreads];
+
+    for (int t = 0; t < numThreads; t++) {
+        futures[t] = CompletableFuture.runAsync(() -> {
+            byte[] garbage = new byte[bytesPerThread];
+            ThreadLocalRandom.current().nextBytes(garbage);
+            totalBytesAllocated.addAndGet(bytesPerThread);
+        }, executorService);
+    }
+
+    CompletableFuture.allOf(futures).join();
+}
+
+

+ 4 parallel threads simulate production workloads where multiple request handlers allocate concurrently. +

+
+ + +
+

Test Results: G1 vs C4

+

Under PROMOTION_STORM (300 MB/sec, 50% survival)

+
+
+
50-200ms
+
G1 Mixed Collection Pauses
+
+
+
< 1ms
+
C4 Maximum Pause
+
+
+ 

+{
+  "currentMode": "PROMOTION_STORM",
+  "allocationRateMBPerSec": 300,
+  "liveSetSizeMB": 1024,
+  "percentiles": {
+    "p50": 0,
+    "p99": 1,
+    "max": 1
+  }
+}
+
+

+ C4 maintains sub-millisecond pauses regardless of promotion rate or live set size. +

+
+ + +
+

GROWING_HEAP: Live Set Scaling

+

100 MB → 2 GB over 60 seconds

+
+
+

G1 Behavior

+
    +
  • Young GC: 10-30ms initially
    • +
  • Mixed GC starts at ~500MB
    • +
  • Pause time grows with live set
    • +
  • At 2GB: 100-200ms pauses
    • +
  • Throughput degrades
    • +
+
+
+

C4 Behavior

+
    +
  • Pause time: 0-1ms throughout
    • +
  • No mixed collection concept
    • +
  • Live set size irrelevant
    • +
  • At 2GB: still < 1ms
    • +
  • Consistent throughput
    • +
+
+
+

+ G1's pause time scales with heap occupancy. C4's pause time remains constant. +

+
+ + +
+

Business Impact

+

Why Pauseless Matters for Trading

+
+
+

Predictable Latency

+
    +
  • SLA compliance guaranteed
    • +
  • No jitter during market events
    • +
  • Consistent execution speed
    • +
  • Regulatory requirements met
    • +
+
+
+

Operational Simplicity

+
    +
  • No GC tuning required
    • +
  • C4 adapts automatically
    • +
  • Fewer performance engineers
    • +
  • Reduced time-to-production
    • +
+
+
+
+

Cost of a 100ms Pause

+

At 10,000 trades/second, a 100ms pause delays 1,000 trades. In markets where price moves in milliseconds, delayed trades execute at worse prices. Multiply by trading volume for financial impact.

+
+
+ + +
+

Deployment Options

+

Running TradeStreamEE

+ 

+# Single instance - Azul C4 with Aeron
+./start.sh azul-aeron
+
+# Single instance - Standard JDK with G1 (baseline)
+./start.sh standard-direct
+
+# Side-by-side comparison (C4 vs G1 clusters)
+./start-comparison.sh all
+
+
+
+

Single Instance

+
    +
  • 8GB heap
    • +
  • Full throughput testing
    • +
  • AERON or DIRECT mode
    • +
+
+
+

Comparison Stack

+
    +
  • C4 cluster: ports 8080-8083
    • +
  • G1 cluster: ports 9080-9083
    • +
  • Grafana dashboards included
    • +
+
+
+
+ + +
+

Stress Testing API

+

Applying Scenarios via REST

+ 

+# Apply scenarios
+curl -X POST http://localhost:8080/api/pressure/mode/STEADY_LOAD
+curl -X POST http://localhost:8080/api/pressure/mode/GROWING_HEAP
+curl -X POST http://localhost:8080/api/pressure/mode/PROMOTION_STORM
+curl -X POST http://localhost:8080/api/pressure/mode/FRAGMENTATION
+curl -X POST http://localhost:8080/api/pressure/mode/CROSS_GEN_REFS
+curl -X POST http://localhost:8080/api/pressure/mode/OFF
+
+# Get GC statistics
+curl http://localhost:8080/api/gc/stats
+
+# Get current pressure status
+curl http://localhost:8080/api/pressure/status
+
+

+ The UI provides real-time visualization of GC pause times, percentiles, and allocation rates. +

+
+ + +
+

Technology Stack

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ComponentTechnologyRole
RuntimeAzul Platform PrimeC4 pauseless garbage collection
App ServerPayara Micro 7Jakarta EE 11 container
TransportAeron IPCShared memory messaging
EncodingSBEZero-copy binary serialization
ClusteringHazelcastDistributed state and discovery
MonitoringPrometheus + GrafanaMetrics and visualization
+
+ + +
+

Key Takeaways

+
    +
  1. G1's stop-the-world pauses are architectural - no tuning eliminates them
    2. +
  2. C4 collects concurrently - application never stops
    3. +
  3. Pause time in G1 scales with live set - larger heaps = longer pauses
    4. +
  4. C4 pause time is constant - regardless of heap or live set size
    5. +
  5. Remembered sets add overhead in G1 - cross-gen refs trigger write barriers
    6. +
  6. C4 has no generations - no remembered sets, no barrier overhead
    7. +
  7. Scenario-based testing exposes weaknesses - targeted stress reveals true behavior
    8. +
  8. Enterprise Java can achieve HFT latency - with the right runtime
    9. +
+
+ + +
+

Resources

+
+

TradeStreamEE Features

+
    +
  • Scenario-based GC stress testing (5 scenarios)
    • +
  • Real-time pause time visualization
    • +
  • Side-by-side C4 vs G1 comparison
    • +
  • Zero-copy message pipeline (Aeron + SBE)
    • +
  • Hazelcast clustering support
    • +
  • Prometheus/Grafana monitoring
    • +
+
+

Learn More

+
    +
  • Azul Platform Prime: azul.com/products/prime
    • +
  • Payara Platform: payara.fish
    • +
  • Aeron: aeron.io
    • +
  • SBE: real-logic.github.io/simple-binary-encoding
    • +
+
+ + +
+ +

Thank You

+

Questions?

+
+

GitHub: github.com/pedanticdev/trader-stream-ee

+
+
+
+
+ + + + + + + + diff --git a/src/test/java/fish/payara/trader/BasicFunctionalityTest.java b/src/test/java/fish/payara/trader/BasicFunctionalityTest.java index f15c20e..afa5100 100644 --- a/src/test/java/fish/payara/trader/BasicFunctionalityTest.java +++ b/src/test/java/fish/payara/trader/BasicFunctionalityTest.java @@ -17,15 +17,15 @@ class BasicFunctionalityTest { void shouldVerifyAllocationModesWorkCorrectly() { // Test AllocationMode enum assertEquals(AllocationMode.OFF, AllocationMode.valueOf("OFF")); - assertEquals(AllocationMode.LOW, AllocationMode.valueOf("LOW")); - assertEquals(AllocationMode.MEDIUM, AllocationMode.valueOf("MEDIUM")); - assertEquals(AllocationMode.HIGH, AllocationMode.valueOf("HIGH")); - assertEquals(AllocationMode.EXTREME, AllocationMode.valueOf("EXTREME")); + assertEquals(AllocationMode.STEADY_LOAD, AllocationMode.valueOf("STEADY_LOAD")); + assertEquals(AllocationMode.GROWING_HEAP, AllocationMode.valueOf("GROWING_HEAP")); + assertEquals(AllocationMode.PROMOTION_STORM, AllocationMode.valueOf("PROMOTION_STORM")); + assertEquals(AllocationMode.FRAGMENTATION, AllocationMode.valueOf("FRAGMENTATION")); // Test allocation rates - assertEquals(0L, AllocationMode.OFF.getBytesPerSecond()); - assertTrue(AllocationMode.LOW.getBytesPerSecond() > 0); - assertTrue(AllocationMode.EXTREME.getBytesPerSecond() > AllocationMode.LOW.getBytesPerSecond()); + assertEquals(0, AllocationMode.OFF.getAllocationRateMBPerSec()); + assertTrue(AllocationMode.STEADY_LOAD.getAllocationRateMBPerSec() > 0); + // Note: STEADY_LOAD rate (200) is > OFF (0) } @Test diff --git a/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java b/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java index 18b3eae..221dceb 100644 --- a/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java +++ b/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java @@ -21,64 +21,50 @@ class EnumValuesTests { @DisplayName("Should have all required allocation modes") void shouldHaveAllRequiredAllocationModes() { AllocationMode[] modes = AllocationMode.values(); - assertEquals(5, modes.length, "Should have exactly 5 allocation modes"); + assertEquals(6, modes.length, "Should have exactly 6 allocation modes"); assertTrue(containsMode(modes, AllocationMode.OFF), "Should contain OFF mode"); - assertTrue(containsMode(modes, AllocationMode.LOW), "Should contain LOW mode"); - assertTrue(containsMode(modes, AllocationMode.MEDIUM), "Should contain MEDIUM mode"); - assertTrue(containsMode(modes, AllocationMode.HIGH), "Should contain HIGH mode"); - assertTrue(containsMode(modes, AllocationMode.EXTREME), "Should contain EXTREME mode"); - } - - @Test - @DisplayName("Should have correct enum order from low to high pressure") - void shouldHaveCorrectEnumOrderFromLowToHighPressure() { - AllocationMode[] modes = AllocationMode.values(); - - assertEquals(AllocationMode.OFF, modes[0], "OFF should be first"); - assertEquals(AllocationMode.LOW, modes[1], "LOW should be second"); - assertEquals(AllocationMode.MEDIUM, modes[2], "MEDIUM should be third"); - assertEquals(AllocationMode.HIGH, modes[3], "HIGH should be fourth"); - assertEquals(AllocationMode.EXTREME, modes[4], "EXTREME should be last"); + assertTrue( + containsMode(modes, AllocationMode.STEADY_LOAD), "Should contain STEADY_LOAD mode"); + assertTrue( + containsMode(modes, AllocationMode.GROWING_HEAP), "Should contain GROWING_HEAP mode"); + assertTrue( + containsMode(modes, AllocationMode.PROMOTION_STORM), + "Should contain PROMOTION_STORM mode"); + assertTrue( + containsMode(modes, AllocationMode.FRAGMENTATION), "Should contain FRAGMENTATION mode"); + assertTrue( + containsMode(modes, AllocationMode.CROSS_GEN_REFS), "Should contain CROSS_GEN_REFS mode"); } } @Nested - @DisplayName("Allocation Properties Tests") - class AllocationPropertiesTests { + @DisplayName("Scenario Properties Tests") + class ScenarioPropertiesTests { @ParameterizedTest @EnumSource(AllocationMode.class) - @DisplayName("Should have correct allocation per iteration values") - void shouldHaveCorrectAllocationPerIterationValues(AllocationMode mode) { - int expected = - switch (mode) { - case OFF -> 0; - case LOW -> 20; - case MEDIUM -> 200; - case HIGH -> 10000; - case EXTREME -> 40000; - }; + @DisplayName("Should have non-null scenario type") + void shouldHaveNonNullScenarioType(AllocationMode mode) { + assertNotNull(mode.getScenarioType(), "ScenarioType should not be null"); + } - assertEquals( - expected, - mode.getAllocationsPerIteration(), - String.format("Mode %s should have %d allocations per iteration", mode.name(), expected)); + @Test + @DisplayName("Should have correct scenario types") + void shouldHaveCorrectScenarioTypes() { + assertEquals(ScenarioType.NONE, AllocationMode.OFF.getScenarioType()); + assertEquals(ScenarioType.STEADY, AllocationMode.STEADY_LOAD.getScenarioType()); + assertEquals(ScenarioType.GROWING, AllocationMode.GROWING_HEAP.getScenarioType()); + assertEquals(ScenarioType.PROMOTION, AllocationMode.PROMOTION_STORM.getScenarioType()); + assertEquals(ScenarioType.FRAGMENTATION, AllocationMode.FRAGMENTATION.getScenarioType()); + assertEquals(ScenarioType.CROSS_REF, AllocationMode.CROSS_GEN_REFS.getScenarioType()); } @ParameterizedTest @EnumSource(AllocationMode.class) - @DisplayName("Should have correct bytes per allocation values") - void shouldHaveCorrectBytesPerAllocationValues(AllocationMode mode) { - int expected = - switch (mode) { - case OFF -> 0; - default -> 10240; - }; - assertEquals( - expected, - mode.getBytesPerAllocation(), - String.format("Mode %s should have %d bytes per allocation", mode.name(), expected)); + @DisplayName("Should have valid allocation rates") + void shouldHaveValidAllocationRates(AllocationMode mode) { + assertTrue(mode.getAllocationRateMBPerSec() >= 0, "Allocation rate should be non-negative"); } @ParameterizedTest @@ -89,170 +75,6 @@ void shouldHaveMeaningfulDescriptions(AllocationMode mode) { assertNotNull(description, "Description should not be null"); assertFalse(description.trim().isEmpty(), "Description should not be empty"); - assertTrue(description.length() > 10, "Description should be descriptive"); - } - } - - @Nested - @DisplayName("Bytes Per Second Calculation Tests") - class BytesPerSecondCalculationTests { - - @Test - @DisplayName("Should calculate bytes per second correctly for OFF mode") - void shouldCalculateBytesPerSecondCorrectlyForOffMode() { - assertEquals( - 0L, - AllocationMode.OFF.getBytesPerSecond(), - "OFF mode should allocate 0 bytes per second"); - } - - @Test - @DisplayName("Should calculate bytes per second correctly for LOW mode") - void shouldCalculateBytesPerSecondCorrectlyForLowMode() { - // 20 allocations * 10240 bytes * 10 iterations/sec = 2,048,000 bytes/sec - assertEquals( - 2_048_000L, AllocationMode.LOW.getBytesPerSecond(), "LOW mode should allocate 2 MB/sec"); - } - - @Test - @DisplayName("Should calculate bytes per second correctly for MEDIUM mode") - void shouldCalculateBytesPerSecondCorrectlyForMediumMode() { - // 200 allocations * 10240 bytes * 10 iterations/sec = 20,480,000 bytes/sec - assertEquals( - 20_480_000L, - AllocationMode.MEDIUM.getBytesPerSecond(), - "MEDIUM mode should allocate 20 MB/sec"); - } - - @Test - @DisplayName("Should calculate bytes per second correctly for HIGH mode") - void shouldCalculateBytesPerSecondCorrectlyForHighMode() { - // 10000 allocations * 10240 bytes * 10 iterations/sec = 1,024,000,000 bytes/sec - assertEquals( - 1_024_000_000L, - AllocationMode.HIGH.getBytesPerSecond(), - "HIGH mode should allocate 1 GB/sec"); - } - - @Test - @DisplayName("Should calculate bytes per second correctly for EXTREME mode") - void shouldCalculateBytesPerSecondCorrectlyForExtremeMode() { - // 40000 allocations * 10240 bytes * 10 iterations/sec = 4,096,000,000 bytes/sec - assertEquals( - 4_096_000_000L, - AllocationMode.EXTREME.getBytesPerSecond(), - "EXTREME mode should allocate 4 GB/sec"); - } - } - - @Nested - @DisplayName("Progressive Intensity Tests") - class ProgressiveIntensityTests { - - @Test - @DisplayName("Should have progressively increasing allocation rates") - void shouldHaveProgressivelyIncreasingAllocationRates() { - long previousRate = -1; - - for (AllocationMode mode : AllocationMode.values()) { - long currentRate = mode.getBytesPerSecond(); - - assertTrue( - currentRate >= previousRate, - String.format( - "%s (%d bytes/sec) should be >= previous rate (%d)", - mode.name(), currentRate, previousRate)); - - previousRate = currentRate; - } - } - - @Test - @DisplayName("Should have monotonic allocation per iteration progression") - void shouldHaveMonotonicAllocationPerIterationProgression() { - int previousAllocations = -1; - - for (AllocationMode mode : AllocationMode.values()) { - int currentAllocations = mode.getAllocationsPerIteration(); - - assertTrue( - currentAllocations >= previousAllocations, - String.format( - "%s (%d allocations) should be >= previous (%d)", - mode.name(), currentAllocations, previousAllocations)); - - previousAllocations = currentAllocations; - } - } - - @Test - @DisplayName("Should have significant gaps between modes") - void shouldHaveSignificantGapsBetweenModes() { - // Verify that there are meaningful differences between modes - assertTrue( - AllocationMode.LOW.getBytesPerSecond() > AllocationMode.OFF.getBytesPerSecond(), - "LOW should be significantly higher than OFF"); - - assertTrue( - AllocationMode.MEDIUM.getBytesPerSecond() > AllocationMode.LOW.getBytesPerSecond() * 5, - "MEDIUM should be at least 5x higher than LOW"); - - assertTrue( - AllocationMode.HIGH.getBytesPerSecond() > AllocationMode.MEDIUM.getBytesPerSecond() * 40, - "HIGH should be at least 40x higher than MEDIUM"); - - assertTrue( - AllocationMode.EXTREME.getBytesPerSecond() > AllocationMode.HIGH.getBytesPerSecond() * 2, - "EXTREME should be at least 2x higher than HIGH"); - } - } - - @Nested - @DisplayName("Description Content Tests") - class DescriptionContentTests { - - @Test - @DisplayName("Descriptions should contain pressure level indicators") - void descriptionsShouldContainPressureLevelIndicators() { - assertTrue( - AllocationMode.LOW.getDescription().contains("Light"), - "LOW description should contain 'Light'"); - - assertTrue( - AllocationMode.MEDIUM.getDescription().contains("Moderate"), - "MEDIUM description should contain 'Moderate'"); - - assertTrue( - AllocationMode.HIGH.getDescription().contains("Heavy"), - "HIGH description should contain 'Heavy'"); - - assertTrue( - AllocationMode.EXTREME.getDescription().contains("Extreme"), - "EXTREME description should contain 'Extreme'"); - - assertTrue( - AllocationMode.OFF.getDescription().contains("No"), - "OFF description should contain 'No'"); - } - - @Test - @DisplayName("Descriptions should contain rate information") - void descriptionsShouldContainRateInformation() { - assertTrue( - AllocationMode.LOW.getDescription().contains("2 MB/sec"), - "LOW description should contain rate information"); - - assertTrue( - AllocationMode.MEDIUM.getDescription().contains("20 MB/sec"), - "MEDIUM description should contain rate information"); - - assertTrue( - AllocationMode.HIGH.getDescription().contains("1 GB/sec"), - "HIGH description should contain rate information"); - - assertTrue( - AllocationMode.EXTREME.getDescription().contains("4 GB/sec"), - "EXTREME description should contain rate information"); } } @@ -261,33 +83,15 @@ void descriptionsShouldContainRateInformation() { class EdgeCasesTests { @Test - @DisplayName("Should handle zero allocations correctly") - void shouldHandleZeroAllocationsCorrectly() { - assertEquals( - 0, - AllocationMode.OFF.getAllocationsPerIteration(), - "OFF mode should have zero allocations"); - - assertEquals( - 0L, - AllocationMode.OFF.getBytesPerSecond(), - "OFF mode should result in zero bytes per second"); - } - - @Test - @DisplayName("Should handle large allocations correctly") - void shouldHandleLargeAllocationsCorrectly() { - long extremeRate = AllocationMode.EXTREME.getBytesPerSecond(); - - assertTrue( - extremeRate > 1_000_000_000L, // 1GB - "EXTREME mode should handle large allocations (>1GB/sec)"); - - assertEquals(4_096_000_000L, extremeRate, "EXTREME mode should handle exactly 4GB/sec"); + @DisplayName("Should handle OFF mode correctly") + void shouldHandleOffModeCorrectly() { + assertEquals(0, AllocationMode.OFF.getAllocationRateMBPerSec()); + assertEquals(0, AllocationMode.OFF.getLiveSetSizeMB()); + assertEquals(ScenarioType.NONE, AllocationMode.OFF.getScenarioType()); } @ParameterizedTest - @ValueSource(strings = {"OFF", "LOW", "MEDIUM", "HIGH", "EXTREME"}) + @ValueSource(strings = {"OFF", "STEADY_LOAD", "GROWING_HEAP", "PROMOTION_STORM"}) @DisplayName("Should handle enum valueOf correctly") void shouldHandleEnumValueOfCorrectly(String modeName) { assertDoesNotThrow( @@ -317,34 +121,6 @@ void shouldThrowIllegalArgumentExceptionForInvalidModeNames() { } } - @Nested - @DisplayName("Constants Validation Tests") - class ConstantsValidationTests { - - @Test - @DisplayName("Should validate constant values") - void shouldValidateConstantValues() { - // Validate that bytes per allocation follows expected pattern - for (AllocationMode mode : AllocationMode.values()) { - int expectedBytes = (mode == AllocationMode.OFF) ? 0 : 10240; - assertEquals( - expectedBytes, - mode.getBytesPerAllocation(), - String.format("%s should use %d bytes per allocation", mode.name(), expectedBytes)); - } - - // Validate that calculation formula is consistent - for (AllocationMode mode : AllocationMode.values()) { - long expected = - (long) mode.getAllocationsPerIteration() * mode.getBytesPerAllocation() * 10; - assertEquals( - expected, - mode.getBytesPerSecond(), - String.format("Calculation should be consistent for %s", mode.name())); - } - } - } - /** Helper method to check if array contains specific mode */ private boolean containsMode(AllocationMode[] modes, AllocationMode targetMode) { for (AllocationMode mode : modes) { diff --git a/src/test/java/fish/payara/trader/pressure/patterns/HFTPatternRegistryTest.java b/src/test/java/fish/payara/trader/pressure/patterns/HFTPatternRegistryTest.java deleted file mode 100644 index 1bf83e7..0000000 --- a/src/test/java/fish/payara/trader/pressure/patterns/HFTPatternRegistryTest.java +++ /dev/null @@ -1,122 +0,0 @@ -package fish.payara.trader.pressure.patterns; - -import static org.junit.jupiter.api.Assertions.*; - -import java.util.HashMap; -import java.util.Map; -import org.junit.jupiter.api.DisplayName; -import org.junit.jupiter.api.Test; - -@DisplayName("HFTPatternRegistry Tests") -class HFTPatternRegistryTest { - - private final HFTPatternRegistry registry = new HFTPatternRegistry(); - - @Test - @DisplayName("Registry contains expected patterns") - void testGetAllPatterns() { - var patterns = registry.getAllPatterns(); - - assertEquals(3, patterns.size(), "Registry should contain exactly 3 patterns"); - - assertTrue( - patterns.stream().anyMatch(p -> p instanceof OrderBookPattern), - "Registry should contain OrderBookPattern"); - assertTrue( - patterns.stream().anyMatch(p -> p instanceof MarketTickPattern), - "Registry should contain MarketTickPattern"); - assertTrue( - patterns.stream().anyMatch(p -> p instanceof MarketDepthPattern), - "Registry should contain MarketDepthPattern"); - } - - @Test - @DisplayName("Pattern count returns correct value") - void testGetPatternCount() { - assertEquals(3, registry.getPatternCount(), "Pattern count should be 3"); - } - - @Test - @DisplayName("Round-robin distribution is even") - void testRoundRobinDistribution() { - Map counts = new HashMap<>(); - - // Select 300 patterns (100 rounds of 3 patterns) - for (int i = 0; i < 300; i++) { - AllocationPattern pattern = registry.selectPattern(); - counts.merge(pattern.getName(), 1, Integer::sum); - } - - // Each pattern should appear exactly 100 times - assertEquals(100, counts.get("OrderBook"), "OrderBook should appear 100 times"); - assertEquals(100, counts.get("MarketTick"), "MarketTick should appear 100 times"); - assertEquals(100, counts.get("MarketDepth"), "MarketDepth should appear 100 times"); - } - - @Test - @DisplayName("Pattern selection never returns null") - void testSelectionNeverNull() { - for (int i = 0; i < 1000; i++) { - assertNotNull(registry.selectPattern(), "Pattern selection should never return null"); - } - } - - @Test - @DisplayName("Pattern selection cycles correctly") - void testPatternCycling() { - // First 3 selections should be in order: OrderBook, Tick, Depth - AllocationPattern p1 = registry.selectPattern(); - AllocationPattern p2 = registry.selectPattern(); - AllocationPattern p3 = registry.selectPattern(); - AllocationPattern p4 = registry.selectPattern(); // Should cycle back to OrderBook - - assertEquals("OrderBook", p1.getName(), "First pattern should be OrderBook"); - assertEquals("MarketTick", p2.getName(), "Second pattern should be MarketTick"); - assertEquals("MarketDepth", p3.getName(), "Third pattern should be MarketDepth"); - assertEquals("OrderBook", p4.getName(), "Fourth pattern should cycle back to OrderBook"); - } - - @Test - @DisplayName("Registry is thread-safe for concurrent access") - void testThreadSafety() throws InterruptedException { - final int THREADS = 10; - final int ITERATIONS = 100; - Thread[] threads = new Thread[THREADS]; - Map totalCounts = new HashMap<>(); - - for (int i = 0; i < THREADS; i++) { - threads[i] = - new Thread( - () -> { - for (int j = 0; j < ITERATIONS; j++) { - AllocationPattern pattern = registry.selectPattern(); - synchronized (totalCounts) { - totalCounts.merge(pattern.getName(), 1, Integer::sum); - } - } - }); - threads[i].start(); - } - - for (Thread thread : threads) { - thread.join(); - } - - // Total selections: 10 threads × 100 iterations = 1000 - int totalSelections = totalCounts.values().stream().mapToInt(Integer::intValue).sum(); - assertEquals(1000, totalSelections, "Total selections should be 1000"); - - // Each pattern should get approximately 333 selections (±tolerance for thread timing) - int expectedPerPattern = 1000 / 3; - int tolerance = 50; // Allow some variance due to concurrent access - - for (String patternName : new String[] {"OrderBook", "MarketTick", "MarketDepth"}) { - int count = totalCounts.getOrDefault(patternName, 0); - assertTrue( - Math.abs(count - expectedPerPattern) <= tolerance, - String.format( - "Pattern %s should have ~%d selections, got %d", - patternName, expectedPerPattern, count)); - } - } -} diff --git a/src/test/java/fish/payara/trader/pressure/patterns/MarketDepthPatternTest.java b/src/test/java/fish/payara/trader/pressure/patterns/MarketDepthPatternTest.java deleted file mode 100644 index b13e985..0000000 --- a/src/test/java/fish/payara/trader/pressure/patterns/MarketDepthPatternTest.java +++ /dev/null @@ -1,129 +0,0 @@ -package fish.payara.trader.pressure.patterns; - -import static org.junit.jupiter.api.Assertions.*; - -import org.junit.jupiter.api.DisplayName; -import org.junit.jupiter.api.Test; - -@DisplayName("MarketDepthPattern Tests") -class MarketDepthPatternTest { - - private final MarketDepthPattern pattern = new MarketDepthPattern(); - - @Test - @DisplayName("Allocate creates DepthSnapshot with bid/ask arrays") - void testAllocate() { - Object result = pattern.allocate(6000); - - assertNotNull(result, "Allocated object should not be null"); - assertTrue( - result instanceof MarketDepthPattern.DepthSnapshot, - "Allocated object should be DepthSnapshot instance"); - - MarketDepthPattern.DepthSnapshot snapshot = (MarketDepthPattern.DepthSnapshot) result; - assertNotNull(snapshot.symbol, "Snapshot symbol should not be null"); - assertNotNull(snapshot.bidPrices, "Bid prices array should not be null"); - assertNotNull(snapshot.bidSizes, "Bid sizes array should not be null"); - assertNotNull(snapshot.askPrices, "Ask prices array should not be null"); - assertNotNull(snapshot.askSizes, "Ask sizes array should not be null"); - assertTrue(snapshot.timestamp > 0, "Timestamp should be positive"); - - // Verify array lengths match - assertEquals( - snapshot.bidPrices.length, - snapshot.bidSizes.length, - "Bid prices and sizes should have same length"); - assertEquals( - snapshot.askPrices.length, - snapshot.askSizes.length, - "Ask prices and sizes should have same length"); - assertEquals( - snapshot.bidPrices.length, - snapshot.askPrices.length, - "Bid and ask sides should have same depth"); - - // Verify minimum clamping - assertTrue( - snapshot.bidPrices.length >= 10, "Depth should have at least 10 levels (minimum clamping)"); - - // Verify data validity - for (int i = 0; i < snapshot.bidPrices.length; i++) { - assertTrue(snapshot.bidPrices[i] > 0, "Bid price should be positive"); - assertTrue(snapshot.bidSizes[i] > 0, "Bid size should be positive"); - assertTrue(snapshot.askPrices[i] > 0, "Ask price should be positive"); - assertTrue(snapshot.askSizes[i] > 0, "Ask size should be positive"); - } - } - - @Test - @DisplayName("Pattern name is MarketDepth") - void testGetName() { - assertEquals("MarketDepth", pattern.getName(), "Pattern name should be 'MarketDepth'"); - } - - @Test - @DisplayName("Multiple allocations create different objects") - void testMultipleAllocations() { - Object obj1 = pattern.allocate(6000); - Object obj2 = pattern.allocate(6000); - - assertNotSame(obj1, obj2, "Multiple allocations should create different object instances"); - } - - @Test - @DisplayName("Depth levels respect clamping boundaries") - void testSizeClamping() { - // Small allocation should clamp to 10 minimum - Object small = pattern.allocate(100); - MarketDepthPattern.DepthSnapshot smallSnapshot = (MarketDepthPattern.DepthSnapshot) small; - assertTrue( - smallSnapshot.bidPrices.length >= 10, "Small allocation should clamp to minimum 10 levels"); - - // Large allocation should clamp to 100 maximum - Object large = pattern.allocate(100000); - MarketDepthPattern.DepthSnapshot largeSnapshot = (MarketDepthPattern.DepthSnapshot) large; - assertTrue( - largeSnapshot.bidPrices.length <= 100, - "Large allocation should clamp to maximum 100 levels"); - } - - @Test - @DisplayName("Bid prices decrease with depth, ask prices increase") - void testPriceLadderStructure() { - Object result = pattern.allocate(6000); - MarketDepthPattern.DepthSnapshot snapshot = (MarketDepthPattern.DepthSnapshot) result; - - // Bid prices should generally decrease (away from best bid) - boolean bidDecreasing = true; - for (int i = 1; i < snapshot.bidPrices.length; i++) { - if (snapshot.bidPrices[i] > snapshot.bidPrices[i - 1]) { - bidDecreasing = false; - break; - } - } - - // Ask prices should generally increase (away from best ask) - boolean askIncreasing = true; - for (int i = 1; i < snapshot.askPrices.length; i++) { - if (snapshot.askPrices[i] < snapshot.askPrices[i - 1]) { - askIncreasing = false; - break; - } - } - - assertTrue(bidDecreasing, "Bid prices should decrease with depth"); - assertTrue(askIncreasing, "Ask prices should increase with depth"); - } - - @Test - @DisplayName("Bid prices are below ask prices (no crossed market)") - void testNoCrossedMarket() { - Object result = pattern.allocate(6000); - MarketDepthPattern.DepthSnapshot snapshot = (MarketDepthPattern.DepthSnapshot) result; - - // Best bid (index 0) should be below best ask (index 0) - assertTrue( - snapshot.bidPrices[0] < snapshot.askPrices[0], - "Best bid should be below best ask (no crossed market)"); - } -} diff --git a/src/test/java/fish/payara/trader/pressure/patterns/MarketTickPatternTest.java b/src/test/java/fish/payara/trader/pressure/patterns/MarketTickPatternTest.java deleted file mode 100644 index 9763525..0000000 --- a/src/test/java/fish/payara/trader/pressure/patterns/MarketTickPatternTest.java +++ /dev/null @@ -1,99 +0,0 @@ -package fish.payara.trader.pressure.patterns; - -import static org.junit.jupiter.api.Assertions.*; - -import org.junit.jupiter.api.DisplayName; -import org.junit.jupiter.api.Test; - -@DisplayName("MarketTickPattern Tests") -class MarketTickPatternTest { - - private final MarketTickPattern pattern = new MarketTickPattern(); - - @Test - @DisplayName("Allocate creates TickBatch with primitive arrays") - void testAllocate() { - Object result = pattern.allocate(4000); - - assertNotNull(result, "Allocated object should not be null"); - assertTrue( - result instanceof MarketTickPattern.TickBatch, - "Allocated object should be TickBatch instance"); - - MarketTickPattern.TickBatch batch = (MarketTickPattern.TickBatch) result; - assertNotNull(batch.symbol, "Batch symbol should not be null"); - assertNotNull(batch.prices, "Prices array should not be null"); - assertNotNull(batch.volumes, "Volumes array should not be null"); - assertNotNull(batch.timestamps, "Timestamps array should not be null"); - - // Verify array lengths match - assertEquals( - batch.prices.length, - batch.volumes.length, - "Prices and volumes arrays should have same length"); - assertEquals( - batch.prices.length, - batch.timestamps.length, - "Prices and timestamps arrays should have same length"); - - // Verify minimum size clamping - assertTrue(batch.prices.length >= 50, "Batch should have at least 50 ticks (minimum clamping)"); - - // Verify data validity - for (int i = 0; i < batch.prices.length; i++) { - assertTrue(batch.prices[i] > 0, "Price should be positive"); - assertTrue(batch.volumes[i] > 0, "Volume should be positive"); - assertTrue(batch.timestamps[i] > 0, "Timestamp should be positive"); - } - } - - @Test - @DisplayName("Pattern name is MarketTick") - void testGetName() { - assertEquals("MarketTick", pattern.getName(), "Pattern name should be 'MarketTick'"); - } - - @Test - @DisplayName("Multiple allocations create different objects") - void testMultipleAllocations() { - Object obj1 = pattern.allocate(4000); - Object obj2 = pattern.allocate(4000); - - assertNotSame(obj1, obj2, "Multiple allocations should create different object instances"); - } - - @Test - @DisplayName("Tick batch size respects clamping boundaries") - void testSizeClamping() { - // Small allocation should clamp to 50 minimum - Object small = pattern.allocate(100); - MarketTickPattern.TickBatch smallBatch = (MarketTickPattern.TickBatch) small; - assertTrue(smallBatch.prices.length >= 50, "Small allocation should clamp to minimum 50 ticks"); - - // Large allocation should clamp to 200 maximum - Object large = pattern.allocate(100000); - MarketTickPattern.TickBatch largeBatch = (MarketTickPattern.TickBatch) large; - assertTrue( - largeBatch.prices.length <= 200, "Large allocation should clamp to maximum 200 ticks"); - } - - @Test - @DisplayName("Tick prices show realistic variation") - void testPriceVariation() { - Object result = pattern.allocate(4000); - MarketTickPattern.TickBatch batch = (MarketTickPattern.TickBatch) result; - - // Check that not all prices are identical (should have random walk) - double firstPrice = batch.prices[0]; - boolean hasVariation = false; - - for (int i = 1; i < batch.prices.length; i++) { - if (Math.abs(batch.prices[i] - firstPrice) > 0.01) { - hasVariation = true; - break; - } - } - - assertTrue(hasVariation, "Prices should show variation (random walk behavior)"); - } -} diff --git a/src/test/java/fish/payara/trader/pressure/patterns/OrderBookPatternTest.java b/src/test/java/fish/payara/trader/pressure/patterns/OrderBookPatternTest.java deleted file mode 100644 index a751e68..0000000 --- a/src/test/java/fish/payara/trader/pressure/patterns/OrderBookPatternTest.java +++ /dev/null @@ -1,91 +0,0 @@ -package fish.payara.trader.pressure.patterns; - -import static org.junit.jupiter.api.Assertions.*; - -import org.junit.jupiter.api.DisplayName; -import org.junit.jupiter.api.Test; - -@DisplayName("OrderBookPattern Tests") -class OrderBookPatternTest { - - private final OrderBookPattern pattern = new OrderBookPattern(); - - @Test - @DisplayName("Allocate creates OrderBook with expected structure") - void testAllocate() { - Object result = pattern.allocate(5000); - - assertNotNull(result, "Allocated object should not be null"); - assertTrue( - result instanceof OrderBookPattern.OrderBook, - "Allocated object should be OrderBook instance"); - - OrderBookPattern.OrderBook book = (OrderBookPattern.OrderBook) result; - assertNotNull(book.symbol, "Book symbol should not be null"); - assertNotNull(book.levels, "Book levels should not be null"); - assertTrue(book.levels.length > 0, "Book should have at least one level"); - - // Verify levels contain orders - for (OrderBookPattern.PriceLevel level : book.levels) { - assertNotNull(level, "Price level should not be null"); - assertNotNull(level.orders, "Level orders array should not be null"); - assertTrue(level.orders.length > 0, "Level should have at least one order"); - - // Verify orders have valid data - for (OrderBookPattern.Order order : level.orders) { - assertNotNull(order, "Order should not be null"); - assertTrue(order.quantity > 0, "Order quantity should be positive"); - assertTrue(order.timestamp > 0, "Order timestamp should be positive"); - } - } - } - - @Test - @DisplayName("Pattern name is OrderBook") - void testGetName() { - assertEquals("OrderBook", pattern.getName(), "Pattern name should be 'OrderBook'"); - } - - @Test - @DisplayName("Multiple allocations create different objects") - void testMultipleAllocations() { - Object obj1 = pattern.allocate(5000); - Object obj2 = pattern.allocate(5000); - - assertNotSame(obj1, obj2, "Multiple allocations should create different object instances"); - } - - @Test - @DisplayName("Allocation respects approximate byte size clamping") - void testAllocationSizeClamping() { - // Small allocation should clamp to minimum - Object small = pattern.allocate(100); - OrderBookPattern.OrderBook smallBook = (OrderBookPattern.OrderBook) small; - assertTrue(smallBook.levels.length > 0, "Small allocation should still create valid book"); - - // Large allocation should clamp to maximum - Object large = pattern.allocate(100000); - OrderBookPattern.OrderBook largeBook = (OrderBookPattern.OrderBook) large; - assertTrue(largeBook.levels.length > 0, "Large allocation should create valid book"); - } - - @Test - @DisplayName("Order book contains both bid and ask sides") - void testBidAskStructure() { - Object result = pattern.allocate(5000); - OrderBookPattern.OrderBook book = (OrderBookPattern.OrderBook) result; - - boolean hasBid = false; - boolean hasAsk = false; - - for (OrderBookPattern.PriceLevel level : book.levels) { - if (level.isBid) { - hasBid = true; - } else { - hasAsk = true; - } - } - - assertTrue(hasBid || hasAsk, "Book should contain at least one side (bid or ask)"); - } -} diff --git a/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java b/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java index a4e3397..863b737 100644 --- a/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java +++ b/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java @@ -68,7 +68,7 @@ void shouldReturnGCPauseStats() { @Test @DisplayName("Should return accurate comparison data") void shouldReturnAccurateComparisonData() { - when(memoryPressureService.getCurrentMode()).thenReturn(AllocationMode.MEDIUM); + when(memoryPressureService.getCurrentMode()).thenReturn(AllocationMode.STEADY_LOAD); when(publisher.getMessagesPublished()).thenReturn(5000L); when(gcStatsService.collectGCStats()).thenReturn(Collections.emptyList()); @@ -82,7 +82,7 @@ void shouldReturnAccurateComparisonData() { @SuppressWarnings("unchecked") Map entity = (Map) response.getEntity(); - assertEquals(AllocationMode.MEDIUM, entity.get("allocationMode")); + assertEquals(AllocationMode.STEADY_LOAD, entity.get("allocationMode")); assertEquals(5000L, entity.get("messageRate")); assertEquals(10.0, ((Number) entity.get("pauseP50Ms")).doubleValue()); assertEquals(50L, entity.get("pauseMaxMs")); diff --git a/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java b/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java index a64d7ea..af99471 100644 --- a/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java +++ b/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java @@ -6,7 +6,6 @@ import fish.payara.trader.pressure.AllocationMode; import fish.payara.trader.pressure.MemoryPressureService; import jakarta.ws.rs.core.Response; -import java.util.List; import java.util.Map; import org.junit.jupiter.api.DisplayName; import org.junit.jupiter.api.Test; @@ -26,7 +25,7 @@ class MemoryPressureResourceTest { @Test @DisplayName("Should return current status") void shouldReturnCurrentStatus() { - when(pressureService.getCurrentMode()).thenReturn(AllocationMode.LOW); + when(pressureService.getCurrentMode()).thenReturn(AllocationMode.STEADY_LOAD); when(pressureService.isRunning()).thenReturn(true); Response response = resource.getStatus(); @@ -34,22 +33,22 @@ void shouldReturnCurrentStatus() { assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); @SuppressWarnings("unchecked") Map entity = (Map) response.getEntity(); - assertEquals("LOW", entity.get("currentMode")); + assertEquals("STEADY_LOAD", entity.get("currentMode")); assertEquals(true, entity.get("running")); } @Test @DisplayName("Should set allocation mode successfully") void shouldSetAllocationModeSuccessfully() { - Response response = resource.setMode("high"); + Response response = resource.setMode("steady_load"); assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - verify(pressureService).setAllocationMode(AllocationMode.HIGH); + verify(pressureService).setAllocationMode(AllocationMode.STEADY_LOAD); @SuppressWarnings("unchecked") Map entity = (Map) response.getEntity(); assertTrue((Boolean) entity.get("success")); - assertEquals("HIGH", entity.get("mode")); + assertEquals("STEADY_LOAD", entity.get("mode")); } @Test @@ -64,32 +63,6 @@ void shouldReturnBadRequestForInvalidMode() { assertTrue(((String) entity.get("error")).contains("Invalid mode")); } - @Test - @DisplayName("Should apply scenario successfully") - void shouldApplyScenarioSuccessfully() { - Response response = resource.applyScenario("demo_stress"); - - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - verify(pressureService).setAllocationMode(AllocationMode.HIGH); - - @SuppressWarnings("unchecked") - Map entity = (Map) response.getEntity(); - assertEquals("DEMO_STRESS", entity.get("scenario")); - assertEquals("applied", entity.get("status")); - } - - @Test - @DisplayName("Should list all scenarios") - void shouldListAllScenarios() { - Response response = resource.listScenarios(); - - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - @SuppressWarnings("unchecked") - List> entity = (List>) response.getEntity(); - assertFalse(entity.isEmpty()); - assertTrue(entity.stream().anyMatch(s -> s.get("name").equals("DEMO_EXTREME"))); - } - @Test @DisplayName("Should return all modes") void shouldReturnAllModes() { @@ -99,9 +72,7 @@ void shouldReturnAllModes() { @SuppressWarnings("unchecked") Map> entity = (Map>) response.getEntity(); - assertTrue(entity.containsKey("EXTREME")); - assertEquals( - "4 GB/sec - Extreme pressure", - ((Map) entity.get("EXTREME")).get("description")); + assertTrue(entity.containsKey("STEADY_LOAD")); + assertTrue(entity.containsKey("PROMOTION_STORM")); } } From 07264bcdee93d8847542331f1bf063555f4ec98f Mon Sep 17 00:00:00 2001 From: Luqman <27694244+pedanticdev@users.noreply.github.com> Date: Sat, 3 Jan 2026 19:42:07 +0000 Subject: [PATCH 10/33] Develop (#17) * Revert HTF simulation strategy * implement alternative gc stress tests (#15) Co-authored-by: Luqman Saeed * Fix C4 name identification * Use bundled eclipse formatter with spotless * copy spotless config file. Update presentation * Amend reame --------- Co-authored-by: Luqman Saeed --- Dockerfile | 1 + Dockerfile.scale | 1 + Dockerfile.scale.standard | 1 + Dockerfile.standard | 1 + README.md | 83 +- pom.xml | 7 +- .../payara/resource/HelloWorldResource.java | 51 +- .../trader/aeron/AeronSubscriberBean.java | 225 ++-- .../aeron/MarketDataFragmentHandler.java | 498 ++++---- .../trader/aeron/MarketDataPublisher.java | 1009 ++++++++-------- .../trader/concurrency/ConcurrencyConfig.java | 11 +- .../concurrency/VirtualThreadExecutor.java | 3 +- .../java/fish/payara/trader/gc/GCStats.java | 238 ++-- .../fish/payara/trader/gc/GCStatsService.java | 494 ++++---- .../trader/monitoring/GCPauseMonitor.java | 321 +++-- .../trader/monitoring/SLAMonitorService.java | 128 +- .../trader/pressure/AllocationMode.java | 111 +- .../pressure/MemoryPressureService.java | 674 +++++------ .../payara/trader/pressure/ScenarioType.java | 7 +- .../payara/trader/rest/ApplicationConfig.java | 3 +- .../payara/trader/rest/GCStatsResource.java | 208 ++-- .../trader/rest/MemoryPressureResource.java | 126 +- .../payara/trader/rest/StatusResource.java | 133 ++- .../websocket/MarketDataBroadcaster.java | 293 +++-- .../trader/websocket/MarketDataWebSocket.java | 79 +- src/main/webapp/blog.html | 60 +- src/main/webapp/images/dashboard.png | Bin 0 -> 984291 bytes src/main/webapp/presentation.html | 437 ++++++- .../payara/trader/BasicFunctionalityTest.java | 116 +- .../aeron/MarketDataFragmentHandlerTest.java | 262 ++-- .../concurrency/ConcurrencyConfigTest.java | 535 ++++----- .../VirtualThreadExecutorTest.java | 363 +++--- .../payara/trader/gc/GCStatsServiceTest.java | 204 ++-- .../fish/payara/trader/gc/GCStatsTest.java | 1052 ++++++++--------- .../monitoring/SLAMonitorServiceTest.java | 210 ++-- .../trader/pressure/AllocationModeTest.java | 197 ++- .../trader/rest/GCStatsResourceTest.java | 152 +-- .../rest/MemoryPressureResourceTest.java | 93 +- .../trader/rest/StatusResourceTest.java | 667 ++++++----- .../fish/payara/trader/utils/GCTestUtil.java | 310 +++-- .../websocket/MarketDataBroadcasterTest.java | 196 +-- 41 files changed, 4784 insertions(+), 4776 deletions(-) create mode 100644 src/main/webapp/images/dashboard.png diff --git a/Dockerfile b/Dockerfile index f4d748e..3d9852f 100644 --- a/Dockerfile +++ b/Dockerfile @@ -7,6 +7,7 @@ WORKDIR /app # Copy Maven wrapper and pom.xml first for better layer caching COPY mvnw . COPY mvnw.cmd . +COPY spotless ./spotless COPY .mvn .mvn COPY pom.xml . diff --git a/Dockerfile.scale b/Dockerfile.scale index dbaff61..6eb1664 100644 --- a/Dockerfile.scale +++ b/Dockerfile.scale @@ -9,6 +9,7 @@ COPY mvnw . COPY mvnw.cmd . COPY .mvn .mvn COPY pom.xml . +COPY spotless ./spotless RUN ./mvnw dependency:go-offline -B diff --git a/Dockerfile.scale.standard b/Dockerfile.scale.standard index 8ca0647..06bd66e 100644 --- a/Dockerfile.scale.standard +++ b/Dockerfile.scale.standard @@ -9,6 +9,7 @@ COPY mvnw . COPY mvnw.cmd . COPY .mvn .mvn COPY pom.xml . +COPY spotless ./spotless RUN ./mvnw dependency:go-offline -B diff --git a/Dockerfile.standard b/Dockerfile.standard index 0754372..1e2d9b3 100644 --- a/Dockerfile.standard +++ b/Dockerfile.standard @@ -9,6 +9,7 @@ COPY mvnw . COPY mvnw.cmd . COPY .mvn .mvn COPY pom.xml . +COPY spotless ./spotless RUN ./mvnw dependency:go-offline -B diff --git a/README.md b/README.md index fa3a37f..0d0b268 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,8 @@ # TradeStreamEE: High-Frequency Trading Reference Architecture -TradeStreamEE demonstrates how Jakarta EE applications can achieve low-latency, high-throughput performance by combining modern messaging (Aeron), efficient serialization (SBE), and a concurrent garbage collector like Azul C4. +TradeStreamEE shows how Jakarta EE applications can achieve low-latency, high-throughput performance by combining modern messaging (Aeron), efficient serialization (SBE), and a concurrent garbage collector like Azul C4. -The application simulates a high-frequency trading dashboard that ingests tens of thousands of market data messages per second, processes them in real-time, and broadcasts updates to a web frontend without the latency spikes associated with traditional Java garbage collection. +The application simulates a high-frequency trading dashboard that ingests 30,000-100,000 market data messages per second, processes them in real-time, and broadcasts updates to a web frontend without the latency spikes associated with traditional Java garbage collection. ## Core Technologies @@ -16,13 +16,13 @@ Ultra-low latency messaging that bypasses the network stack when components run Simple Binary Encoding is the financial industry standard for high-frequency trading. Encodes data as compact binary rather than human-readable text, eliminating parsing overhead and reducing memory allocation. -### Payara Micro (Jakarta EE Runtime) +### Payara Micro 7.2025.2 (Jakarta EE Runtime) A cloud-native Jakarta EE 11 application server that provides Jakarta CDI for dependency injection, Jakarta WebSocket for real-time browser communication, and Jakarta REST for REST endpoints. Lightweight (~100MB) and fast-starting. -### Azul Platform Prime (Runtime) +### Azul Platform Prime 21 (Runtime) -A JVM with the C4 garbage collector that performs cleanup concurrently with application execution, avoiding the stop-the-world pauses that cause latency spikes in traditional JVMs. +A JVM with the C4 (Continuously Concurrent Compacting Collector) garbage collector. C4 performs cleanup concurrently with application execution, avoiding the stop-the-world pauses that cause latency spikes in traditional JVMs. Azul markets C4 as a "pauseless" collector due to its sub-millisecond pause times across all heap sizes. Integration: Payara Micro manages the Aeron publisher/subscriber lifecycle via CDI. The publisher encodes market data into binary using SBE, sends it through Aeron's shared memory transport, and the subscriber decodes it without allocating Java objects. This minimal garbage generation allows C4's concurrent collection to handle cleanup while maintaining flat latency at high throughput. @@ -33,7 +33,8 @@ Enterprise Java applications must often balance two competing requirements: 1. High Throughput: Ingesting massive data streams (IoT, Financial Data). 2. Low Latency: Processing data without stop-the-world pauses. -Standard JVMs (using G1GC or ParallelGC) can exhibit latency spikes under high load, potentially causing UI freezes or missed SLAs. TradeStreamEE demonstrates that by combining a modern, broker-less transport (Aeron) with a pauseless runtime (Azul C4), standard Jakarta EE applications can achieve microsecond-level latency and high throughput. +Standard JVMs (using G1GC or ParallelGC) exhibit latency spikes under high load, potentially causing UI freezes or missed SLAs. +TradeStreamEE shows that through combining a modern, broker-less transport (Aeron) with a concurrent runtime (Azul C4), standard Jakarta EE applications can achieve microsecond-level latency and high throughput. ### Comparison Methodology @@ -49,7 +50,9 @@ This isolation ensures that observed performance differences are attributable so ### Primary Use Case: Side-by-Side JVM Comparison -TradeStreamEE enables side-by-side JVM comparison by deploying both clusters simultaneously under identical workloads. Both clusters execute the same application binary and configuration, isolating the garbage collector as the sole variable. This approach allows for real-time observation of performance differences in a shared environment, providing a more objective comparison than traditional serial benchmarking. +TradeStreamEE enables side-by-side JVM comparison by deploying both clusters simultaneously under identical workloads. +Both clusters execute the same application binary and configuration, isolating the garbage collector as the sole variable. +This approach allows for real-time observation of performance differences in a shared environment. ```bash ./start-comparison.sh all @@ -62,7 +65,7 @@ Once deployed, access the applications: - C4 Cluster: http://localhost:8080/trader-stream-ee/ - G1 Cluster: http://localhost:9080/trader-stream-ee/ -The "GC Pause Time (Live)" chart in Grafana will demonstrate the performance characteristics: C4 typically maintains a consistent latency profile, while G1GC may exhibit spikes and sawtooth patterns under load. +The "GC Pause Time (Live)" chart in Grafana shows the performance characteristics: C4 maintains consistent latency (≤1ms pauses), while G1GC exhibits spikes and sawtooth patterns under load. Other options: @@ -75,12 +78,12 @@ Other options: Use `./start.sh` for testing individual configurations or architectural modes. This runs ONE JVM at a time for focused testing. -| Scenario | Command | JVM | Architecture | Purpose | -|:-------------------------|:-----------------------------|:--------------------|:------------------|:-----------------------------------------------------------------| -| Modern Stack | `./start.sh azul-aeron` | Azul Prime (C4) | Aeron (Optimized) | Peak performance with pauseless GC + zero-copy transport | -| Legacy Baseline | `./start.sh standard-direct` | Standard JDK (G1GC) | Direct (Heavy) | Baseline: high allocation on G1GC, expect jitter | -| Fixing Legacy Code | `./start.sh azul-direct` | Azul Prime (C4) | Direct (Heavy) | Show how C4 stabilizes high-allocation apps without code changes | -| Optimizing Standard Java | `./start.sh standard-aeron` | Standard JDK (G1GC) | Aeron (Optimized) | Test if architectural optimization helps G1GC performance | +| Scenario | Command | JVM | Architecture | Purpose | +|:-------------------------|:-----------------------------|:-----------------------|:------------------|:-----------------------------------------------------------------| +| Modern Stack | `./start.sh azul-aeron` | Azul Prime (C4) | Aeron (Optimized) | Peak performance with concurrent GC + zero-copy transport | +| Legacy Baseline | `./start.sh standard-direct` | Eclipse Temurin (G1GC) | Direct (Heavy) | Baseline: high allocation on G1GC, expect jitter | +| Fixing Legacy Code | `./start.sh azul-direct` | Azul Prime (C4) | Direct (Heavy) | Show how C4 stabilizes high-allocation apps without code changes | +| Optimizing Standard Java | `./start.sh standard-aeron` | Eclipse Temurin (G1GC) | Aeron (Optimized) | Test if architectural optimization helps G1GC performance | Utilities: @@ -101,21 +104,21 @@ The application implements a Hybrid Architecture: 3. Application Layer (Jakarta EE 11): * Payara Micro 7 serves as the container. * CDI manages the lifecycle of the Aeron Publisher and Subscriber. - * Jakarta Concurrency 3.1 leverages Virtual Threads for high-throughput memory pressure simulation. + * Jakarta Concurrency 3.1 uses Virtual Threads for high-throughput memory pressure simulation. * WebSockets push updates to the browser. 4. Runtime Layer: - * Azul Platform Prime uses the C4 Collector to clean up the "garbage" created by the WebSocket layer concurrently, ensuring a flat latency profile. + * Azul Platform Prime uses the C4 Collector to clean up garbage created by the WebSocket layer concurrently, ensuring a flat latency profile. ## Tech Stack -| Component | Technology | Role | -|:-----------|:------------------------------------|:----------------------------------------| -| Runtime | Azul Platform Prime (Zulu Prime 21) | The Pauseless JVM engine. | -| App Server | Payara Micro 7 (Jakarta EE 11) | Cloud-native Jakarta EE runtime. | -| Transport | Aeron | Low-latency, high-throughput messaging. | -| Encoding | SBE (Simple Binary Encoding) | Binary serialization (FIX standard). | -| Frontend | HTML5 / Chart.js | Real-time visualization via WebSockets. | -| Build | Docker / Maven | Containerized deployment. | +| Component | Technology | Role | +|:-----------|:--------------------------------------|:------------------------------------------| +| Runtime | Azul Platform Prime 21 | Concurrent JVM with C4 garbage collector. | +| App Server | Payara Micro 7.2025.2 (Jakarta EE 11) | Cloud-native Jakarta EE runtime. | +| Transport | Aeron | Low-latency, high-throughput messaging. | +| Encoding | SBE (Simple Binary Encoding) | Binary serialization (FIX standard). | +| Frontend | HTML5 / Chart.js | Real-time visualization via WebSockets. | +| Build | Docker / Maven | Containerized deployment. | ## Ingestion Architectures @@ -161,7 +164,7 @@ Implementation: Performance Characteristics: - High Allocation: Gigabytes of temporary String objects per second -- GC Pressure: Frequent pauses on G1GC; C4's concurrent collection avoids stop-the-world pauses but still performs work +- GC Pressure: Frequent pauses on G1GC; C4's concurrent collection maintains sub-millisecond pauses ### AERON Mode (Optimized Path, Default) @@ -180,9 +183,9 @@ Implementation: Performance Characteristics: -- Low Allocation: Almost no garbage in the ingestion hot-path +- Low Allocation: Minimal garbage in the ingestion hot-path - High Throughput: Aeron IPC handles millions of messages/sec with sub-microsecond latency -- Both JVMs benefit from reduced allocation, but C4 maintains flat latency profile +- Both JVMs benefit from reduced allocation; C4 maintains consistent latency profile ## Configuration & Tuning @@ -221,11 +224,11 @@ Infrastructure improvements: - GC Logging: Detailed event logging with decorators for analysis - Rate-Limited Logging: Prevents log flooding during high-throughput operations -Note: Azul Platform Prime uses C4 by default; we don't specify `-XX:+UseZGC` since C4 is the native, optimized collector for Azul Prime. +Note: Azul Platform Prime uses C4 by default; we don't specify `-XX:+UseG1GC` since C4 is the native, optimized collector for Azul Prime. ### GC Monitoring & Stress Testing -The application includes comprehensive GC monitoring and memory pressure testing capabilities to demonstrate JVM performance differences: +The application includes comprehensive GC monitoring and memory pressure testing capabilities to show JVM performance differences: #### GC Statistics Collection @@ -261,9 +264,9 @@ Test Scenarios: Expected Behavior: * G1: Stop-the-world pauses that scale with live set size, remembered set scanning overhead, compaction pauses under fragmentation -* C4: Zero pauses across all scenarios due to concurrent collection, no remembered sets, concurrent compaction +* C4: Pauses ≤1ms across all scenarios due to concurrent collection, no remembered sets, concurrent compaction -Each scenario uses 4 parallel virtual threads to generate allocation load. This multi-threaded pattern demonstrates G1's stop-the-world impact when all application threads must pause simultaneously. +Each scenario uses 4 parallel virtual threads to generate allocation load. This multi-threaded pattern shows G1's stop-the-world impact when all application threads must pause simultaneously. #### GC Scenario Control @@ -274,7 +277,7 @@ The web UI includes scenario selection controls that allow: * Side-by-side pause time visualization with phase breakdown * Observation of collector behavior under specific pathological conditions -This feature enables targeted demonstration of G1's architectural limitations versus C4's concurrent collection model. +This feature enables targeted observation of G1's architectural limitations versus C4's concurrent collection model. ## Monitoring & Observability @@ -387,8 +390,8 @@ Working Tests (170/170 passing): Coverage Metrics: - Tests: 170 unit tests with 100% pass rate -- Monitoring Coverage: >90% (SLAMonitor, GCStatsService) -- REST API Coverage: >85% (Resources and DTOs) +- Monitoring Coverage: ≥90% (SLAMonitor, GCStatsService) +- REST API Coverage: ≥85% (Resources and DTOs) - Instruction Coverage: High coverage for business logic; integration logic relies on `test.sh`. ### Test Categories @@ -418,6 +421,7 @@ For readers unfamiliar with high-frequency trading concepts, this glossary expla | Price Ladder | The hierarchical structure of bid and ask prices in an order book. Bid prices decrease as you move away from the best bid; ask prices increase as you move away from the best ask. | | Crossed Market | An abnormal market condition where the best bid price is higher than the best ask price. This should never occur in normal trading and indicates a data error or system malfunction. | | Flash Crash | A sudden, severe market downturn followed by rapid recovery, often triggered by algorithmic trading systems. The 2010 Flash Crash saw the Dow Jones drop nearly 1,000 points in minutes. These events create extreme allocation bursts as systems process massive order flow. | +| SLA (Service Level Agreement) | Performance guarantees, such as "99.9% of trades execute within 5ms". GC pauses can cause SLA violations if they exceed latency budgets. | ### Memory & Performance @@ -469,8 +473,15 @@ For readers unfamiliar with high-frequency trading concepts, this glossary expla | Ingestion Pipeline / Ingestion Layer | The component responsible for receiving and processing incoming market data feeds. Must handle extreme throughput (millions of messages/sec) with minimal latency. | | Hot Path / Critical Path | The code execution path that runs most frequently and must be highly optimized. In HFT, the ingestion and order routing paths are hot paths where even nanoseconds matter. | | Market Event | Significant market occurrences that trigger increased trading activity: market open/close, economic announcements, earnings releases, or sudden price movements. | -| SLA (Service Level Agreement) | Performance guarantees, such as "99.9% of trades execute within 5ms". GC pauses can cause SLA violations if they exceed latency budgets. | + +## References + +- [Azul C4 Garbage Collection Documentation](https://docs.azul.com/prime/c4-garbage-collection.html) +- [Azul Platform Prime Product Page](https://www.azul.com/products/components/pgc/) +- [Explanation of Azul's "Pauseless" Garbage Collector](https://stackoverflow.com/questions/4491260/explanation-of-azuls-pauseless-garbage-collector) +- [What To Expect When Evaluating Azul Platform Prime](https://docs.azul.com/prime/what-to-expect) +- [Apache Kafka Performance on Azul Platform Prime vs Vanilla OpenJDK](https://www.azul.com/blog/apache-kafka-performance-on-azul-platform-prime-vs-vanilla-openjdk/) ## License -This project is a reference implementation provided for demonstration purposes. +This project is a reference implementation showing low-latency Java techniques for educational purposes. diff --git a/pom.xml b/pom.xml index ab96153..9f82248 100644 --- a/pom.xml +++ b/pom.xml @@ -324,10 +324,9 @@ 3.0.0 - - 1.17.0 - - + + ${project.basedir}/spotless/java-formatter.xml + diff --git a/src/main/java/fish/payara/resource/HelloWorldResource.java b/src/main/java/fish/payara/resource/HelloWorldResource.java index 83991fa..0a7c26b 100644 --- a/src/main/java/fish/payara/resource/HelloWorldResource.java +++ b/src/main/java/fish/payara/resource/HelloWorldResource.java @@ -19,37 +19,28 @@ @Path("hello") public class HelloWorldResource { - @Inject - @ConfigProperty(name = "defaultName", defaultValue = "world") - private String defaultName; + @Inject + @ConfigProperty(name = "defaultName", defaultValue = "world") + private String defaultName; - @GET - @Operation(summary = "Get a personalized greeting") - @APIResponses( - value = { - @APIResponse(responseCode = "200", description = "Successful operation"), - @APIResponse(responseCode = "400", description = "Invalid input") - }) - @Counted(name = "helloEndpointCount", description = "Count of calls to the hello endpoint") - @Timed(name = "helloEndpointTime", description = "Time taken to execute the hello endpoint") - @Timeout(3000) - @Retry(maxRetries = 3) - @Fallback(fallbackMethod = "fallbackMethod") - public Response hello( - @QueryParam("name") - @Parameter( - name = "name", - description = "Name to include in the greeting", - required = false, - example = "John") - String name) { - if ((name == null) || name.trim().isEmpty()) { - name = defaultName; + @GET + @Operation(summary = "Get a personalized greeting") + @APIResponses(value = {@APIResponse(responseCode = "200", description = "Successful operation"), + @APIResponse(responseCode = "400", description = "Invalid input")}) + @Counted(name = "helloEndpointCount", description = "Count of calls to the hello endpoint") + @Timed(name = "helloEndpointTime", description = "Time taken to execute the hello endpoint") + @Timeout(3000) + @Retry(maxRetries = 3) + @Fallback(fallbackMethod = "fallbackMethod") + public Response hello( + @QueryParam("name") @Parameter(name = "name", description = "Name to include in the greeting", required = false, example = "John") String name) { + if ((name == null) || name.trim().isEmpty()) { + name = defaultName; + } + return Response.ok(name).build(); } - return Response.ok(name).build(); - } - public Response fallbackMethod(@QueryParam("name") String name) { - return Response.ok("Fallback data").build(); - } + public Response fallbackMethod(@QueryParam("name") String name) { + return Response.ok("Fallback data").build(); + } } diff --git a/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java b/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java index a5335c0..3c0a36d 100644 --- a/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java +++ b/src/main/java/fish/payara/trader/aeron/AeronSubscriberBean.java @@ -21,152 +21,137 @@ import org.eclipse.microprofile.config.inject.ConfigProperty; /** - * Aeron Ingress Singleton Bean Launches an embedded MediaDriver and subscribes to market data - * stream. Uses SBE decoders for zero-copy message processing. Runs in a dedicated thread to - * continuously poll for messages. IMPORTANT: This must initialize BEFORE MarketDataPublisher + * Aeron Ingress Singleton Bean Launches an embedded MediaDriver and subscribes to market data stream. Uses SBE decoders for zero-copy message processing. Runs + * in a dedicated thread to continuously poll for messages. IMPORTANT: This must initialize BEFORE MarketDataPublisher */ @ApplicationScoped public class AeronSubscriberBean { - private static final Logger LOGGER = Logger.getLogger(AeronSubscriberBean.class.getName()); + private static final Logger LOGGER = Logger.getLogger(AeronSubscriberBean.class.getName()); - private static final String CHANNEL = "aeron:ipc"; - private static final int STREAM_ID = 1001; - private static final int FRAGMENT_LIMIT = 10; + private static final String CHANNEL = "aeron:ipc"; + private static final int STREAM_ID = 1001; + private static final int FRAGMENT_LIMIT = 10; - private MediaDriver mediaDriver; - private Aeron aeron; - private Subscription subscription; - private volatile boolean running = false; - private Future pollingFuture; + private MediaDriver mediaDriver; + private Aeron aeron; + private Subscription subscription; + private volatile boolean running = false; + private Future pollingFuture; - @Inject private MarketDataFragmentHandler fragmentHandler; + @Inject + private MarketDataFragmentHandler fragmentHandler; - @Inject @VirtualThreadExecutor private ManagedExecutorService managedExecutorService; + @Inject + @VirtualThreadExecutor + private ManagedExecutorService managedExecutorService; - @Inject - @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") - private String ingestionMode; + @Inject + @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") + private String ingestionMode; - void contextInitialized(@Observes @Initialized(ApplicationScoped.class) Object event) { - managedExecutorService.submit(this::init); - } - - public void init() { - if ("DIRECT".equalsIgnoreCase(ingestionMode)) { - LOGGER.info("Running in DIRECT mode - Skipping Aeron/MediaDriver initialization."); - return; + void contextInitialized(@Observes @Initialized(ApplicationScoped.class) Object event) { + managedExecutorService.submit(this::init); } - LOGGER.info("Initializing Aeron Subscriber Bean..."); - - try { - LOGGER.info("Launching embedded MediaDriver..."); - mediaDriver = - MediaDriver.launchEmbedded( - new MediaDriver.Context() - .threadingMode(ThreadingMode.SHARED) - .dirDeleteOnStart(true) - .dirDeleteOnShutdown(true)); - - LOGGER.info("MediaDriver launched at: " + mediaDriver.aeronDirectoryName()); - LOGGER.info("Connecting Aeron client..."); - aeron = - Aeron.connect( - new Aeron.Context() - .aeronDirectoryName(mediaDriver.aeronDirectoryName()) - .errorHandler(this::onError) - .availableImageHandler( - image -> LOGGER.info("Available image: " + image.sourceIdentity())) - .unavailableImageHandler( - image -> LOGGER.info("Unavailable image: " + image.sourceIdentity()))); - LOGGER.info("Adding subscription on channel: " + CHANNEL + ", stream: " + STREAM_ID); - subscription = aeron.addSubscription(CHANNEL, STREAM_ID); - startPolling(); - LOGGER.info("Aeron Subscriber Bean initialized successfully"); - - } catch (Exception e) { - LOGGER.log(Level.SEVERE, "Failed to initialize Aeron Subscriber Bean", e); - cleanup(); - throw new RuntimeException("Failed to initialize Aeron", e); + public void init() { + if ("DIRECT".equalsIgnoreCase(ingestionMode)) { + LOGGER.info("Running in DIRECT mode - Skipping Aeron/MediaDriver initialization."); + return; + } + + LOGGER.info("Initializing Aeron Subscriber Bean..."); + + try { + LOGGER.info("Launching embedded MediaDriver..."); + mediaDriver = MediaDriver + .launchEmbedded(new MediaDriver.Context().threadingMode(ThreadingMode.SHARED).dirDeleteOnStart(true).dirDeleteOnShutdown(true)); + + LOGGER.info("MediaDriver launched at: " + mediaDriver.aeronDirectoryName()); + LOGGER.info("Connecting Aeron client..."); + aeron = Aeron.connect(new Aeron.Context().aeronDirectoryName(mediaDriver.aeronDirectoryName()) + .errorHandler(this::onError) + .availableImageHandler(image -> LOGGER.info("Available image: " + image.sourceIdentity())) + .unavailableImageHandler(image -> LOGGER.info("Unavailable image: " + image.sourceIdentity()))); + LOGGER.info("Adding subscription on channel: " + CHANNEL + ", stream: " + STREAM_ID); + subscription = aeron.addSubscription(CHANNEL, STREAM_ID); + startPolling(); + LOGGER.info("Aeron Subscriber Bean initialized successfully"); + + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Failed to initialize Aeron Subscriber Bean", e); + cleanup(); + throw new RuntimeException("Failed to initialize Aeron", e); + } } - } - - /** Start background task to continuously poll for messages */ - private void startPolling() { - running = true; - pollingFuture = - managedExecutorService.submit( - () -> { - LOGGER.info("Aeron polling task started"); - - final IdleStrategy idleStrategy = - new BackoffIdleStrategy( - 100, - 10, - TimeUnit.MICROSECONDS.toNanos(1), - TimeUnit.MICROSECONDS.toNanos(100)); - - while (running && !Thread.currentThread().isInterrupted()) { + + /** Start background task to continuously poll for messages */ + private void startPolling() { + running = true; + pollingFuture = managedExecutorService.submit(() -> { + LOGGER.info("Aeron polling task started"); + + final IdleStrategy idleStrategy = new BackoffIdleStrategy(100, 10, TimeUnit.MICROSECONDS.toNanos(1), TimeUnit.MICROSECONDS.toNanos(100)); + + while (running && !Thread.currentThread().isInterrupted()) { try { - final int fragmentsRead = subscription.poll(fragmentHandler, FRAGMENT_LIMIT); + final int fragmentsRead = subscription.poll(fragmentHandler, FRAGMENT_LIMIT); - idleStrategy.idle(fragmentsRead); + idleStrategy.idle(fragmentsRead); } catch (Exception e) { - LOGGER.log(Level.SEVERE, "Error polling subscription", e); + LOGGER.log(Level.SEVERE, "Error polling subscription", e); } - } + } + + LOGGER.info("Aeron polling task stopped"); + }); + } - LOGGER.info("Aeron polling task stopped"); - }); - } + /** Error handler for Aeron */ + private void onError(Throwable throwable) { + LOGGER.log(Level.SEVERE, "Aeron error occurred", throwable); + } - /** Error handler for Aeron */ - private void onError(Throwable throwable) { - LOGGER.log(Level.SEVERE, "Aeron error occurred", throwable); - } + @PreDestroy + public void shutdown() { + LOGGER.info("Shutting down Aeron Subscriber Bean..."); + running = false; - @PreDestroy - public void shutdown() { - LOGGER.info("Shutting down Aeron Subscriber Bean..."); - running = false; + if (pollingFuture != null) { + pollingFuture.cancel(true); + } - if (pollingFuture != null) { - pollingFuture.cancel(true); + cleanup(); + LOGGER.info("Aeron Subscriber Bean shut down"); } - cleanup(); - LOGGER.info("Aeron Subscriber Bean shut down"); - } - - /** Clean up all Aeron resources */ - private void cleanup() { - CloseHelper.quietClose(subscription); - CloseHelper.quietClose(aeron); - CloseHelper.quietClose(mediaDriver); - } - - /** Get subscription statistics */ - public String getStatus() { - if (subscription != null) { - return String.format( - "Channel: %s, Stream: %d, Images: %d, Running: %b", - subscription.channel(), subscription.streamId(), subscription.imageCount(), running); + /** Clean up all Aeron resources */ + private void cleanup() { + CloseHelper.quietClose(subscription); + CloseHelper.quietClose(aeron); + CloseHelper.quietClose(mediaDriver); } - return "Not initialized"; - } - /** Get the Aeron directory name for connecting publishers */ - public String getAeronDirectoryName() { - if (mediaDriver != null) { - return mediaDriver.aeronDirectoryName(); + /** Get subscription statistics */ + public String getStatus() { + if (subscription != null) { + return String.format("Channel: %s, Stream: %d, Images: %d, Running: %b", subscription.channel(), subscription.streamId(), subscription.imageCount(), + running); + } + return "Not initialized"; } - return null; - } - /** Check if the MediaDriver is ready */ - public boolean isReady() { - return mediaDriver != null && aeron != null && subscription != null && running; - } + /** Get the Aeron directory name for connecting publishers */ + public String getAeronDirectoryName() { + if (mediaDriver != null) { + return mediaDriver.aeronDirectoryName(); + } + return null; + } + + /** Check if the MediaDriver is ready */ + public boolean isReady() { + return mediaDriver != null && aeron != null && subscription != null && running; + } } diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java b/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java index d0ea6a6..8ec3125 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java @@ -11,300 +11,280 @@ import org.agrona.DirectBuffer; /** - * FragmentHandler that uses SBE Flyweights for zero-copy message decoding. This handler processes - * Aeron fragments by: 1. Decoding the SBE message header to identify message type 2. Using the - * appropriate SBE decoder (flyweight pattern) 3. Extracting data without object allocation 4. - * Broadcasting as JSON (intentionally creating garbage for GC stress testing) + * FragmentHandler that uses SBE Flyweights for zero-copy message decoding. This handler processes Aeron fragments by: 1. Decoding the SBE message header to + * identify message type 2. Using the appropriate SBE decoder (flyweight pattern) 3. Extracting data without object allocation 4. Broadcasting as JSON + * (intentionally creating garbage for GC stress testing) */ @ApplicationScoped public class MarketDataFragmentHandler implements FragmentHandler { - private static final Logger LOGGER = Logger.getLogger(MarketDataFragmentHandler.class.getName()); + private static final Logger LOGGER = Logger.getLogger(MarketDataFragmentHandler.class.getName()); - private final MessageHeaderDecoder headerDecoder = new MessageHeaderDecoder(); + private final MessageHeaderDecoder headerDecoder = new MessageHeaderDecoder(); - private final TradeDecoder tradeDecoder = new TradeDecoder(); - private final QuoteDecoder quoteDecoder = new QuoteDecoder(); - private final MarketDepthDecoder marketDepthDecoder = new MarketDepthDecoder(); - private final OrderAckDecoder orderAckDecoder = new OrderAckDecoder(); - private final HeartbeatDecoder heartbeatDecoder = new HeartbeatDecoder(); + private final TradeDecoder tradeDecoder = new TradeDecoder(); + private final QuoteDecoder quoteDecoder = new QuoteDecoder(); + private final MarketDepthDecoder marketDepthDecoder = new MarketDepthDecoder(); + private final OrderAckDecoder orderAckDecoder = new OrderAckDecoder(); + private final HeartbeatDecoder heartbeatDecoder = new HeartbeatDecoder(); - private long messagesProcessed = 0; - private long messagesBroadcast = 0; - private long lastLogTime = System.currentTimeMillis(); + private long messagesProcessed = 0; + private long messagesBroadcast = 0; + private long lastLogTime = System.currentTimeMillis(); - private static final int SAMPLE_RATE = 50; - private long sampleCounter = 0; + private static final int SAMPLE_RATE = 50; + private long sampleCounter = 0; - @Inject MarketDataBroadcaster broadcaster; + @Inject + MarketDataBroadcaster broadcaster; - private final byte[] symbolBuffer = new byte[128]; - private final StringBuilder sb = new StringBuilder(1024); + private final byte[] symbolBuffer = new byte[128]; + private final StringBuilder sb = new StringBuilder(1024); - @Override - public void onFragment(DirectBuffer buffer, int offset, int length, Header header) { - try { - headerDecoder.wrap(buffer, offset); + @Override + public void onFragment(DirectBuffer buffer, int offset, int length, Header header) { + try { + headerDecoder.wrap(buffer, offset); - final int templateId = headerDecoder.templateId(); - final int actingBlockLength = headerDecoder.blockLength(); - final int actingVersion = headerDecoder.version(); + final int templateId = headerDecoder.templateId(); + final int actingBlockLength = headerDecoder.blockLength(); + final int actingVersion = headerDecoder.version(); - offset += headerDecoder.encodedLength(); + offset += headerDecoder.encodedLength(); - sampleCounter++; - final boolean shouldBroadcast = (sampleCounter % SAMPLE_RATE == 0); + sampleCounter++; + final boolean shouldBroadcast = (sampleCounter % SAMPLE_RATE == 0); - switch (templateId) { - case TradeDecoder.TEMPLATE_ID: - processTrade(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); - break; + switch (templateId) { + case TradeDecoder.TEMPLATE_ID : + processTrade(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); + break; - case QuoteDecoder.TEMPLATE_ID: - processQuote(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); - break; + case QuoteDecoder.TEMPLATE_ID : + processQuote(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); + break; - case MarketDepthDecoder.TEMPLATE_ID: - processMarketDepth(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); - break; + case MarketDepthDecoder.TEMPLATE_ID : + processMarketDepth(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); + break; - case OrderAckDecoder.TEMPLATE_ID: - processOrderAck(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); - break; + case OrderAckDecoder.TEMPLATE_ID : + processOrderAck(buffer, offset, actingBlockLength, actingVersion, shouldBroadcast); + break; - case HeartbeatDecoder.TEMPLATE_ID: - processHeartbeat(buffer, offset, actingBlockLength, actingVersion); - break; + case HeartbeatDecoder.TEMPLATE_ID : + processHeartbeat(buffer, offset, actingBlockLength, actingVersion); + break; - default: - LOGGER.warning("Unknown message template ID: " + templateId); - } + default : + LOGGER.warning("Unknown message template ID: " + templateId); + } - messagesProcessed++; - if (shouldBroadcast) { - messagesBroadcast++; - } - logStatistics(); + messagesProcessed++; + if (shouldBroadcast) { + messagesBroadcast++; + } + logStatistics(); - } catch (Exception e) { - LOGGER.log(Level.SEVERE, "Error processing fragment", e); + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Error processing fragment", e); + } } - } - /** Process Trade message using SBE decoder (zero-copy) */ - private void processTrade( - DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { - if (!shouldBroadcast) { - return; + /** Process Trade message using SBE decoder (zero-copy) */ + private void processTrade(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; + } + + tradeDecoder.wrap(buffer, offset, blockLength, version); + + final long timestamp = tradeDecoder.timestamp(); + final long tradeId = tradeDecoder.tradeId(); + final long price = tradeDecoder.price(); + final long quantity = tradeDecoder.quantity(); + final Side side = tradeDecoder.side(); + + final int symbolLength = tradeDecoder.symbolLength(); + tradeDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.setLength(0); + sb.append("{\"type\":\"trade\",\"timestamp\":") + .append(timestamp) + .append(",\"tradeId\":") + .append(tradeId) + .append(",\"symbol\":\"") + .append(symbol) + .append("\"") + .append(",\"price\":") + .append(price / 10000.0) + .append(",\"quantity\":") + .append(quantity) + .append(",\"side\":\"") + .append(side) + .append("\"}"); + + broadcaster.broadcast(sb.toString()); } - tradeDecoder.wrap(buffer, offset, blockLength, version); - - final long timestamp = tradeDecoder.timestamp(); - final long tradeId = tradeDecoder.tradeId(); - final long price = tradeDecoder.price(); - final long quantity = tradeDecoder.quantity(); - final Side side = tradeDecoder.side(); - - final int symbolLength = tradeDecoder.symbolLength(); - tradeDecoder.getSymbol(symbolBuffer, 0, symbolLength); - final String symbol = new String(symbolBuffer, 0, symbolLength); - - sb.setLength(0); - sb.append("{\"type\":\"trade\",\"timestamp\":") - .append(timestamp) - .append(",\"tradeId\":") - .append(tradeId) - .append(",\"symbol\":\"") - .append(symbol) - .append("\"") - .append(",\"price\":") - .append(price / 10000.0) - .append(",\"quantity\":") - .append(quantity) - .append(",\"side\":\"") - .append(side) - .append("\"}"); - - broadcaster.broadcast(sb.toString()); - } - - /** Process Quote message using SBE decoder (zero-copy) */ - private void processQuote( - DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { - if (!shouldBroadcast) { - return; + /** Process Quote message using SBE decoder (zero-copy) */ + private void processQuote(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; + } + + quoteDecoder.wrap(buffer, offset, blockLength, version); + + final long timestamp = quoteDecoder.timestamp(); + final long bidPrice = quoteDecoder.bidPrice(); + final long bidSize = quoteDecoder.bidSize(); + final long askPrice = quoteDecoder.askPrice(); + final long askSize = quoteDecoder.askSize(); + + final int symbolLength = quoteDecoder.symbolLength(); + quoteDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.setLength(0); + sb.append("{\"type\":\"quote\",\"timestamp\":") + .append(timestamp) + .append(",\"symbol\":\"") + .append(symbol) + .append("\"") + .append(",\"bid\":{\"price\":") + .append(bidPrice / 10000.0) + .append(",\"size\":") + .append(bidSize) + .append("}") + .append(",\"ask\":{\"price\":") + .append(askPrice / 10000.0) + .append(",\"size\":") + .append(askSize) + .append("}}"); + + broadcaster.broadcast(sb.toString()); } - quoteDecoder.wrap(buffer, offset, blockLength, version); - - final long timestamp = quoteDecoder.timestamp(); - final long bidPrice = quoteDecoder.bidPrice(); - final long bidSize = quoteDecoder.bidSize(); - final long askPrice = quoteDecoder.askPrice(); - final long askSize = quoteDecoder.askSize(); - - final int symbolLength = quoteDecoder.symbolLength(); - quoteDecoder.getSymbol(symbolBuffer, 0, symbolLength); - final String symbol = new String(symbolBuffer, 0, symbolLength); - - sb.setLength(0); - sb.append("{\"type\":\"quote\",\"timestamp\":") - .append(timestamp) - .append(",\"symbol\":\"") - .append(symbol) - .append("\"") - .append(",\"bid\":{\"price\":") - .append(bidPrice / 10000.0) - .append(",\"size\":") - .append(bidSize) - .append("}") - .append(",\"ask\":{\"price\":") - .append(askPrice / 10000.0) - .append(",\"size\":") - .append(askSize) - .append("}}"); - - broadcaster.broadcast(sb.toString()); - } - - /** Process MarketDepth message with repeating groups (zero-copy) */ - private void processMarketDepth( - DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { - if (!shouldBroadcast) { - return; + /** Process MarketDepth message with repeating groups (zero-copy) */ + private void processMarketDepth(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; + } + + marketDepthDecoder.wrap(buffer, offset, blockLength, version); + + final long timestamp = marketDepthDecoder.timestamp(); + final long sequenceNumber = marketDepthDecoder.sequenceNumber(); + + sb.setLength(0); + sb.append("{\"type\":\"depth\",\"timestamp\":").append(timestamp).append(",\"sequence\":").append(sequenceNumber).append(",\"bids\":["); + + MarketDepthDecoder.BidsDecoder bids = marketDepthDecoder.bids(); + int bidCount = 0; + while (bids.hasNext()) { + bids.next(); + if (bidCount > 0) + sb.append(","); + sb.append("{\"price\":").append(bids.price() / 10000.0).append(",\"quantity\":").append(bids.quantity()).append("}"); + bidCount++; + } + sb.append("],\"asks\":["); + + MarketDepthDecoder.AsksDecoder asks = marketDepthDecoder.asks(); + int askCount = 0; + while (asks.hasNext()) { + asks.next(); + if (askCount > 0) + sb.append(","); + sb.append("{\"price\":").append(asks.price() / 10000.0).append(",\"quantity\":").append(asks.quantity()).append("}"); + askCount++; + } + sb.append("]"); + + final int symbolLength = marketDepthDecoder.symbolLength(); + marketDepthDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.append(",\"symbol\":\"").append(symbol).append("\"}"); + + broadcaster.broadcast(sb.toString()); } - marketDepthDecoder.wrap(buffer, offset, blockLength, version); - - final long timestamp = marketDepthDecoder.timestamp(); - final long sequenceNumber = marketDepthDecoder.sequenceNumber(); - - sb.setLength(0); - sb.append("{\"type\":\"depth\",\"timestamp\":") - .append(timestamp) - .append(",\"sequence\":") - .append(sequenceNumber) - .append(",\"bids\":["); - - MarketDepthDecoder.BidsDecoder bids = marketDepthDecoder.bids(); - int bidCount = 0; - while (bids.hasNext()) { - bids.next(); - if (bidCount > 0) sb.append(","); - sb.append("{\"price\":") - .append(bids.price() / 10000.0) - .append(",\"quantity\":") - .append(bids.quantity()) - .append("}"); - bidCount++; + private void processOrderAck(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { + if (!shouldBroadcast) { + return; + } + + orderAckDecoder.wrap(buffer, offset, blockLength, version); + + final long timestamp = orderAckDecoder.timestamp(); + final long orderId = orderAckDecoder.orderId(); + final long clientOrderId = orderAckDecoder.clientOrderId(); + final Side side = orderAckDecoder.side(); + final OrderType orderType = orderAckDecoder.orderType(); + final long price = orderAckDecoder.price(); + final long quantity = orderAckDecoder.quantity(); + final ExecType execType = orderAckDecoder.execType(); + final long leavesQty = orderAckDecoder.leavesQty(); + final long cumQty = orderAckDecoder.cumQty(); + + final int symbolLength = orderAckDecoder.symbolLength(); + orderAckDecoder.getSymbol(symbolBuffer, 0, symbolLength); + final String symbol = new String(symbolBuffer, 0, symbolLength); + + sb.setLength(0); + sb.append("{\"type\":\"orderAck\",\"timestamp\":") + .append(timestamp) + .append(",\"orderId\":") + .append(orderId) + .append(",\"clientOrderId\":") + .append(clientOrderId) + .append(",\"symbol\":\"") + .append(symbol) + .append("\"") + .append(",\"side\":\"") + .append(side) + .append("\"") + .append(",\"orderType\":\"") + .append(orderType) + .append("\"") + .append(",\"price\":") + .append(price / 10000.0) + .append(",\"quantity\":") + .append(quantity) + .append(",\"execType\":\"") + .append(execType) + .append("\"") + .append(",\"leavesQty\":") + .append(leavesQty) + .append(",\"cumQty\":") + .append(cumQty) + .append("}"); + + broadcaster.broadcast(sb.toString()); } - sb.append("],\"asks\":["); - - MarketDepthDecoder.AsksDecoder asks = marketDepthDecoder.asks(); - int askCount = 0; - while (asks.hasNext()) { - asks.next(); - if (askCount > 0) sb.append(","); - sb.append("{\"price\":") - .append(asks.price() / 10000.0) - .append(",\"quantity\":") - .append(asks.quantity()) - .append("}"); - askCount++; - } - sb.append("]"); - - final int symbolLength = marketDepthDecoder.symbolLength(); - marketDepthDecoder.getSymbol(symbolBuffer, 0, symbolLength); - final String symbol = new String(symbolBuffer, 0, symbolLength); - sb.append(",\"symbol\":\"").append(symbol).append("\"}"); + private void processHeartbeat(DirectBuffer buffer, int offset, int blockLength, int version) { + heartbeatDecoder.wrap(buffer, offset, blockLength, version); - broadcaster.broadcast(sb.toString()); - } + final long timestamp = heartbeatDecoder.timestamp(); + final long sequenceNumber = heartbeatDecoder.sequenceNumber(); - private void processOrderAck( - DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { - if (!shouldBroadcast) { - return; + if (LOGGER.isLoggable(Level.FINE)) { + LOGGER.fine("Heartbeat: timestamp=" + timestamp + ", seq=" + sequenceNumber); + } } - orderAckDecoder.wrap(buffer, offset, blockLength, version); - - final long timestamp = orderAckDecoder.timestamp(); - final long orderId = orderAckDecoder.orderId(); - final long clientOrderId = orderAckDecoder.clientOrderId(); - final Side side = orderAckDecoder.side(); - final OrderType orderType = orderAckDecoder.orderType(); - final long price = orderAckDecoder.price(); - final long quantity = orderAckDecoder.quantity(); - final ExecType execType = orderAckDecoder.execType(); - final long leavesQty = orderAckDecoder.leavesQty(); - final long cumQty = orderAckDecoder.cumQty(); - - final int symbolLength = orderAckDecoder.symbolLength(); - orderAckDecoder.getSymbol(symbolBuffer, 0, symbolLength); - final String symbol = new String(symbolBuffer, 0, symbolLength); - - sb.setLength(0); - sb.append("{\"type\":\"orderAck\",\"timestamp\":") - .append(timestamp) - .append(",\"orderId\":") - .append(orderId) - .append(",\"clientOrderId\":") - .append(clientOrderId) - .append(",\"symbol\":\"") - .append(symbol) - .append("\"") - .append(",\"side\":\"") - .append(side) - .append("\"") - .append(",\"orderType\":\"") - .append(orderType) - .append("\"") - .append(",\"price\":") - .append(price / 10000.0) - .append(",\"quantity\":") - .append(quantity) - .append(",\"execType\":\"") - .append(execType) - .append("\"") - .append(",\"leavesQty\":") - .append(leavesQty) - .append(",\"cumQty\":") - .append(cumQty) - .append("}"); - - broadcaster.broadcast(sb.toString()); - } - - private void processHeartbeat(DirectBuffer buffer, int offset, int blockLength, int version) { - heartbeatDecoder.wrap(buffer, offset, blockLength, version); - - final long timestamp = heartbeatDecoder.timestamp(); - final long sequenceNumber = heartbeatDecoder.sequenceNumber(); - - if (LOGGER.isLoggable(Level.FINE)) { - LOGGER.fine("Heartbeat: timestamp=" + timestamp + ", seq=" + sequenceNumber); - } - } - - private void logStatistics() { - long now = System.currentTimeMillis(); - if (now - lastLogTime > 5000) { - double elapsedSeconds = (now - lastLogTime) / 1000.0; - LOGGER.info( - String.format( - "FragmentHandler Stats - Processed: %,d (%.0f msg/sec) | Broadcast to UI: %,d (%.0f msg/sec) | Sample rate: 1 in %d", - messagesProcessed, - messagesProcessed / elapsedSeconds, - messagesBroadcast, - messagesBroadcast / elapsedSeconds, - SAMPLE_RATE)); - lastLogTime = now; - messagesProcessed = 0; - messagesBroadcast = 0; + private void logStatistics() { + long now = System.currentTimeMillis(); + if (now - lastLogTime > 5000) { + double elapsedSeconds = (now - lastLogTime) / 1000.0; + LOGGER.info(String.format("FragmentHandler Stats - Processed: %,d (%.0f msg/sec) | Broadcast to UI: %,d (%.0f msg/sec) | Sample rate: 1 in %d", + messagesProcessed, messagesProcessed / elapsedSeconds, messagesBroadcast, messagesBroadcast / elapsedSeconds, SAMPLE_RATE)); + lastLogTime = now; + messagesProcessed = 0; + messagesBroadcast = 0; + } } - } } diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java index b4c30b4..dd3dfd6 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java @@ -26,605 +26,546 @@ import org.eclipse.microprofile.config.inject.ConfigProperty; /** - * Market Data Publisher Simulator Generates synthetic market data and publishes via Aeron using SBE - * encoding. This simulates a high-frequency data feed for testing the ingestion pipeline. - * IMPORTANT: Depends on AeronSubscriberBean to initialize first (provides MediaDriver) + * Market Data Publisher Simulator Generates synthetic market data and publishes via Aeron using SBE encoding. This simulates a high-frequency data feed for + * testing the ingestion pipeline. IMPORTANT: Depends on AeronSubscriberBean to initialize first (provides MediaDriver) */ @ApplicationScoped public class MarketDataPublisher { - private static final Logger LOGGER = Logger.getLogger(MarketDataPublisher.class.getName()); - - private static final String CHANNEL = "aeron:ipc"; - private static final int STREAM_ID = 1001; - private static final int BUFFER_SIZE = 4096; - private static final int SAMPLE_RATE = 50; // Broadcast 1 in 50 messages to prevent flooding - - private static final String[] SYMBOLS = { - "AAPL", "GOOGL", "MSFT", "AMZN", "TSLA", "NVDA", "META", "NFLX" - }; - - private Aeron aeron; - private Publication publication; - - // SBE encoders (reusable flyweights) - private final MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - private final TradeEncoder tradeEncoder = new TradeEncoder(); - private final QuoteEncoder quoteEncoder = new QuoteEncoder(); - private final MarketDepthEncoder marketDepthEncoder = new MarketDepthEncoder(); - private final HeartbeatEncoder heartbeatEncoder = new HeartbeatEncoder(); - - private UnsafeBuffer buffer; - - private final AtomicLong sequenceNumber = new AtomicLong(0); - private final AtomicLong tradeIdGenerator = new AtomicLong(1000); - - private final AtomicLong messagesPublished = new AtomicLong(0); - private final AtomicInteger consecutiveFailures = new AtomicInteger(0); - private static final int MAX_CONSECUTIVE_FAILURES = 50; - private long sampleCounter = 0; - private volatile boolean initialized = false; - private volatile boolean running = false; - private boolean isDirectMode; - private long lastWarningLogTime = 0; - private static final long WARNING_LOG_INTERVAL_MS = - 5000; // Log warnings at most once per 5 seconds - - private Future publisherFuture; - private Future statsFuture; - - @Inject private AeronSubscriberBean subscriberBean; - - @Inject - @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") - private String ingestionMode; - - @Inject - @ConfigProperty(name = "ENABLE_PUBLISHER", defaultValue = "true") - String enablePublisherEnv; - - @Inject private MarketDataBroadcaster broadcaster; - - @Inject private HazelcastInstance hazelcastInstance; - - @Inject @VirtualThreadExecutor private ManagedExecutorService managedExecutorService; - - // Cluster-wide message counter (shared across all instances) - private IAtomicLong clusterMessageCounter; - - void contextInitialized(@Observes @Initialized(ApplicationScoped.class) Object event) { - // managedExecutorService.submit(this::init); - init(); - } - - public void init() { - // Initialize cluster-wide message counter on ALL instances (even non-publishers) - // This allows all instances to read the shared counter value via Hazelcast CP Subsystem - if (hazelcastInstance != null) { - try { - clusterMessageCounter = - hazelcastInstance.getCPSubsystem().getAtomicLong("cluster-message-count"); - LOGGER.info("Initialized cluster-wide message counter"); - } catch (Exception e) { - LOGGER.log( - Level.WARNING, - "Failed to initialize cluster message counter, using local counter only", - e); - } - } + private static final Logger LOGGER = Logger.getLogger(MarketDataPublisher.class.getName()); - // Check if publisher should be enabled on this instance - if (enablePublisherEnv != null && !"true".equalsIgnoreCase(enablePublisherEnv)) { - LOGGER.info( - "Market Data Publisher DISABLED on this instance (ENABLE_PUBLISHER=" - + enablePublisherEnv - + ")"); - LOGGER.info("This instance will only consume messages from the cluster topic via Hazelcast"); - return; - } + private static final String CHANNEL = "aeron:ipc"; + private static final int STREAM_ID = 1001; + private static final int BUFFER_SIZE = 4096; + private static final int SAMPLE_RATE = 50; // Broadcast 1 in 50 messages to prevent flooding + + private static final String[] SYMBOLS = {"AAPL", "GOOGL", "MSFT", "AMZN", "TSLA", "NVDA", "META", "NFLX"}; + + private Aeron aeron; + private Publication publication; + + // SBE encoders (reusable flyweights) + private final MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + private final TradeEncoder tradeEncoder = new TradeEncoder(); + private final QuoteEncoder quoteEncoder = new QuoteEncoder(); + private final MarketDepthEncoder marketDepthEncoder = new MarketDepthEncoder(); + private final HeartbeatEncoder heartbeatEncoder = new HeartbeatEncoder(); + + private UnsafeBuffer buffer; + + private final AtomicLong sequenceNumber = new AtomicLong(0); + private final AtomicLong tradeIdGenerator = new AtomicLong(1000); + + private final AtomicLong messagesPublished = new AtomicLong(0); + private final AtomicInteger consecutiveFailures = new AtomicInteger(0); + private static final int MAX_CONSECUTIVE_FAILURES = 50; + private long sampleCounter = 0; + private volatile boolean initialized = false; + private volatile boolean running = false; + private boolean isDirectMode; + private long lastWarningLogTime = 0; + private static final long WARNING_LOG_INTERVAL_MS = 5000; // Log warnings at most once per 5 seconds + + private Future publisherFuture; + private Future statsFuture; + + @Inject + private AeronSubscriberBean subscriberBean; + + @Inject + @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") + private String ingestionMode; + + @Inject + @ConfigProperty(name = "ENABLE_PUBLISHER", defaultValue = "true") + String enablePublisherEnv; - LOGGER.info( - "Initializing Market Data Publisher (ENABLE_PUBLISHER=" - + enablePublisherEnv - + "). Mode: " - + ingestionMode); + @Inject + private MarketDataBroadcaster broadcaster; - if ("DIRECT".equalsIgnoreCase(ingestionMode)) { - LOGGER.info("Running in DIRECT mode - Bypassing Aeron/SBE setup."); - initialized = true; - isDirectMode = true; + @Inject + private HazelcastInstance hazelcastInstance; - startPublishing(); - return; + @Inject + @VirtualThreadExecutor + private ManagedExecutorService managedExecutorService; + + // Cluster-wide message counter (shared across all instances) + private IAtomicLong clusterMessageCounter; + + void contextInitialized(@Observes @Initialized(ApplicationScoped.class) Object event) { + // managedExecutorService.submit(this::init); + init(); } - // Initialize buffer only if in AERON mode - this.buffer = new UnsafeBuffer(ByteBuffer.allocateDirect(BUFFER_SIZE)); - - try { - // Wait for AeronSubscriberBean to be ready (both observers fire at roughly same time) - LOGGER.info("Waiting for AeronSubscriberBean to be ready..."); - int waitAttempts = 0; - while (!subscriberBean.isReady() && waitAttempts < 60) { - Thread.sleep(500); - waitAttempts++; - } - - if (!subscriberBean.isReady()) { - LOGGER.severe("AeronSubscriberBean did not become ready in time"); - return; - } - - String aeronDir = subscriberBean.getAeronDirectoryName(); - LOGGER.info("Connecting to embedded MediaDriver at: " + aeronDir); - - aeron = - Aeron.connect( - new Aeron.Context() - .aeronDirectoryName(aeronDir) - .errorHandler( - throwable -> LOGGER.log(Level.SEVERE, "Aeron publisher error", throwable))); - - LOGGER.info("Connected to Aeron. Adding publication..."); - - publication = aeron.addPublication(CHANNEL, STREAM_ID); - - LOGGER.info("Waiting for subscriber to connect to publication..."); - int attempts = 0; - while (!publication.isConnected() && attempts < 20) { - Thread.sleep(500); - attempts++; - } - - if (publication.isConnected()) { - LOGGER.info("Market Data Publisher initialized successfully"); - initialized = true; - - startPublishing(); - } else { - LOGGER.warning("Publisher not connected after waiting"); - } - - } catch (Exception e) { - LOGGER.log(Level.SEVERE, "Failed to initialize publisher", e); + public void init() { + // Initialize cluster-wide message counter on ALL instances (even non-publishers) + // This allows all instances to read the shared counter value via Hazelcast CP Subsystem + if (hazelcastInstance != null) { + try { + clusterMessageCounter = hazelcastInstance.getCPSubsystem().getAtomicLong("cluster-message-count"); + LOGGER.info("Initialized cluster-wide message counter"); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to initialize cluster message counter, using local counter only", e); + } + } + + // Check if publisher should be enabled on this instance + if (enablePublisherEnv != null && !"true".equalsIgnoreCase(enablePublisherEnv)) { + LOGGER.info("Market Data Publisher DISABLED on this instance (ENABLE_PUBLISHER=" + enablePublisherEnv + ")"); + LOGGER.info("This instance will only consume messages from the cluster topic via Hazelcast"); + return; + } + + LOGGER.info("Initializing Market Data Publisher (ENABLE_PUBLISHER=" + enablePublisherEnv + "). Mode: " + ingestionMode); + + if ("DIRECT".equalsIgnoreCase(ingestionMode)) { + LOGGER.info("Running in DIRECT mode - Bypassing Aeron/SBE setup."); + initialized = true; + isDirectMode = true; + + startPublishing(); + return; + } + + // Initialize buffer only if in AERON mode + this.buffer = new UnsafeBuffer(ByteBuffer.allocateDirect(BUFFER_SIZE)); + + try { + // Wait for AeronSubscriberBean to be ready (both observers fire at roughly same time) + LOGGER.info("Waiting for AeronSubscriberBean to be ready..."); + int waitAttempts = 0; + while (!subscriberBean.isReady() && waitAttempts < 60) { + Thread.sleep(500); + waitAttempts++; + } + + if (!subscriberBean.isReady()) { + LOGGER.severe("AeronSubscriberBean did not become ready in time"); + return; + } + + String aeronDir = subscriberBean.getAeronDirectoryName(); + LOGGER.info("Connecting to embedded MediaDriver at: " + aeronDir); + + aeron = Aeron.connect(new Aeron.Context().aeronDirectoryName(aeronDir) + .errorHandler(throwable -> LOGGER.log(Level.SEVERE, "Aeron publisher error", throwable))); + + LOGGER.info("Connected to Aeron. Adding publication..."); + + publication = aeron.addPublication(CHANNEL, STREAM_ID); + + LOGGER.info("Waiting for subscriber to connect to publication..."); + int attempts = 0; + while (!publication.isConnected() && attempts < 20) { + Thread.sleep(500); + attempts++; + } + + if (publication.isConnected()) { + LOGGER.info("Market Data Publisher initialized successfully"); + initialized = true; + + startPublishing(); + } else { + LOGGER.warning("Publisher not connected after waiting"); + } + + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Failed to initialize publisher", e); + } } - } - /** Start background thread to continuously publish market data at high throughput */ - private void startPublishing() { - running = true; - publisherFuture = - managedExecutorService.submit( - () -> { - LOGGER.info( - "Market data publisher task started - targeting 50k-100k messages/sec with burst patterns"); + /** Start background thread to continuously publish market data at high throughput */ + private void startPublishing() { + running = true; + publisherFuture = managedExecutorService.submit(() -> { + LOGGER.info("Market data publisher task started - targeting 50k-100k messages/sec with burst patterns"); - final int BASE_BURST_SIZE = 500; - final long PARK_NANOS = 5_000; // 5 microseconds base rate + final int BASE_BURST_SIZE = 500; + final long PARK_NANOS = 5_000; // 5 microseconds base rate - while (running && !Thread.currentThread().isInterrupted()) { + while (running && !Thread.currentThread().isInterrupted()) { try { - // Apply burst multiplier for realistic market spikes - int burstMultiplier = getBurstMultiplier(); - int adjustedBurstSize = BASE_BURST_SIZE * burstMultiplier; - - // Log burst transitions - if (burstMultiplier > 1) { - long secondOfMinute = (System.currentTimeMillis() / 1000) % 60; - if (secondOfMinute == 20 || secondOfMinute == 45) { - LOGGER.info("BURST MODE: " + burstMultiplier + "x allocation spike started"); + // Apply burst multiplier for realistic market spikes + int burstMultiplier = getBurstMultiplier(); + int adjustedBurstSize = BASE_BURST_SIZE * burstMultiplier; + + // Log burst transitions + if (burstMultiplier > 1) { + long secondOfMinute = (System.currentTimeMillis() / 1000) % 60; + if (secondOfMinute == 20 || secondOfMinute == 45) { + LOGGER.info("BURST MODE: " + burstMultiplier + "x allocation spike started"); + } } - } - for (int i = 0; i < adjustedBurstSize && running; i++) { - publishTrade(); - publishQuote(); - publishMarketDepth(); + for (int i = 0; i < adjustedBurstSize && running; i++) { + publishTrade(); + publishQuote(); + publishMarketDepth(); - if (i % 100 == 0) { - publishHeartbeat(); + if (i % 100 == 0) { + publishHeartbeat(); + } } - } - LockSupport.parkNanos(PARK_NANOS); + LockSupport.parkNanos(PARK_NANOS); } catch (Throwable e) { - LOGGER.log(Level.SEVERE, "Critical error in publisher loop", e); - // Brief pause on error, then continue - LockSupport.parkNanos(TimeUnit.MILLISECONDS.toNanos(100)); + LOGGER.log(Level.SEVERE, "Critical error in publisher loop", e); + // Brief pause on error, then continue + LockSupport.parkNanos(TimeUnit.MILLISECONDS.toNanos(100)); } - } + } - LOGGER.info("Market data publisher task stopped"); - }); + LOGGER.info("Market data publisher task stopped"); + }); - statsFuture = - managedExecutorService.submit( - () -> { - long lastCount = 0; - long lastTime = System.currentTimeMillis(); + statsFuture = managedExecutorService.submit(() -> { + long lastCount = 0; + long lastTime = System.currentTimeMillis(); - while (running && !Thread.currentThread().isInterrupted()) { + while (running && !Thread.currentThread().isInterrupted()) { try { - Thread.sleep(5000); - - long currentCount = messagesPublished.get(); - long currentTime = System.currentTimeMillis(); - long messagesSinceLastLog = currentCount - lastCount; - double elapsedSeconds = (currentTime - lastTime) / 1000.0; - double messagesPerSecond = messagesSinceLastLog / elapsedSeconds; - - int currentMultiplier = getBurstMultiplier(); - String burstStatus = - currentMultiplier > 1 ? " [BURST: " + currentMultiplier + "x]" : ""; - - LOGGER.info( - String.format( - "Publisher Stats - Total: %,d | Last 5s: %,d (%.0f msg/sec)%s", - currentCount, messagesSinceLastLog, messagesPerSecond, burstStatus)); - - String statsJson = - String.format( - "{\"type\":\"stats\",\"total\":%d,\"rate\":%.0f,\"burstMultiplier\":%d}", - currentCount, messagesPerSecond, currentMultiplier); - broadcaster.broadcast(statsJson); - - lastCount = currentCount; - lastTime = currentTime; + Thread.sleep(5000); + + long currentCount = messagesPublished.get(); + long currentTime = System.currentTimeMillis(); + long messagesSinceLastLog = currentCount - lastCount; + double elapsedSeconds = (currentTime - lastTime) / 1000.0; + double messagesPerSecond = messagesSinceLastLog / elapsedSeconds; + + int currentMultiplier = getBurstMultiplier(); + String burstStatus = currentMultiplier > 1 ? " [BURST: " + currentMultiplier + "x]" : ""; + + LOGGER.info(String.format("Publisher Stats - Total: %,d | Last 5s: %,d (%.0f msg/sec)%s", currentCount, messagesSinceLastLog, + messagesPerSecond, burstStatus)); + + String statsJson = String.format("{\"type\":\"stats\",\"total\":%d,\"rate\":%.0f,\"burstMultiplier\":%d}", currentCount, messagesPerSecond, + currentMultiplier); + broadcaster.broadcast(statsJson); + + lastCount = currentCount; + lastTime = currentTime; } catch (InterruptedException e) { - Thread.currentThread().interrupt(); - break; + Thread.currentThread().interrupt(); + break; } - } - }); - } - - /** - * Calculate burst multiplier based on time pattern simulating market events - * - *

Pattern (60-second cycle): - 00-20s: Normal trading (1x) - 20-25s: News event burst (5x - * allocation spike) - 25-45s: Normal trading (1x) - 45-50s: Market close spike (3x allocation) - - * 50-60s: Normal trading (1x) - */ - private int getBurstMultiplier() { - long secondOfMinute = (System.currentTimeMillis() / 1000) % 60; - - if (secondOfMinute >= 20 && secondOfMinute < 25) { - return 5; // News event - 5x burst - } else if (secondOfMinute >= 45 && secondOfMinute < 50) { - return 3; // Market close - 3x spike + } + }); } - return 1; // Normal - } - - /** Publish a Trade message */ - private void publishTrade() { - if (isDirectMode) { - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); // Use ThreadLocalRandom - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - final double price = 100.0 + currentRandom.nextDouble() * 400.0; - final int quantity = currentRandom.nextInt(1000) + 100; - final String side = currentRandom.nextBoolean() ? "BUY" : "SELL"; - - String json = - String.format( - "{\"type\":\"trade\",\"timestamp\":%d,\"tradeId\":%d,\"symbol\":\"%s\",\"price\":%.4f,\"quantity\":%d,\"side\":\"%s\"}", - System.currentTimeMillis(), - tradeIdGenerator.incrementAndGet(), - symbol, - price, - quantity, - side); - if (++sampleCounter % SAMPLE_RATE == 0) { - broadcaster.broadcastWithArtificialLoad(json); - } - messagesPublished.incrementAndGet(); - // Increment cluster-wide counter - if (clusterMessageCounter != null) { - try { - clusterMessageCounter.incrementAndGet(); - } catch (Exception e) { - // Ignore cluster counter errors, not critical + /** + * Calculate burst multiplier based on time pattern simulating market events + * + *

+ * Pattern (60-second cycle): - 00-20s: Normal trading (1x) - 20-25s: News event burst (5x allocation spike) - 25-45s: Normal trading (1x) - 45-50s: Market + * close spike (3x allocation) - 50-60s: Normal trading (1x) + */ + private int getBurstMultiplier() { + long secondOfMinute = (System.currentTimeMillis() / 1000) % 60; + + if (secondOfMinute >= 20 && secondOfMinute < 25) { + return 5; // News event - 5x burst + } else if (secondOfMinute >= 45 && secondOfMinute < 50) { + return 3; // Market close - 3x spike } - } - return; + + return 1; // Normal } - int bufferOffset = 0; - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - - headerEncoder - .wrap(buffer, bufferOffset) - .blockLength(tradeEncoder.sbeBlockLength()) - .templateId(tradeEncoder.sbeTemplateId()) - .schemaId(tradeEncoder.sbeSchemaId()) - .version(tradeEncoder.sbeSchemaVersion()); - - bufferOffset += headerEncoder.encodedLength(); - - tradeEncoder - .wrap(buffer, bufferOffset) - .timestamp(System.currentTimeMillis()) - .tradeId(tradeIdGenerator.incrementAndGet()) - .price((long) ((100.0 + currentRandom.nextDouble() * 400.0) * 10000)) // $100-$500 - .quantity(currentRandom.nextInt(1000) + 100) - .side(currentRandom.nextBoolean() ? Side.BUY : Side.SELL) - .symbol(symbol); - - final int length = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); - offer(buffer, 0, length, "Trade"); - } - - /** Publish a Quote message */ - private void publishQuote() { - if (isDirectMode) { - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; - final double bidPrice = basePrice - 0.01; - final double askPrice = basePrice + 0.01; - final int bidSize = currentRandom.nextInt(10000) + 100; - final int askSize = currentRandom.nextInt(10000) + 100; - - String json = - String.format( - "{\"type\":\"quote\",\"timestamp\":%d,\"symbol\":\"%s\",\"bid\":{\"price\":%.4f,\"size\":%d},\"ask\":{\"price\":%.4f,\"size\":%d}}", - System.currentTimeMillis(), symbol, bidPrice, bidSize, askPrice, askSize); - if (++sampleCounter % SAMPLE_RATE == 0) { - broadcaster.broadcastWithArtificialLoad(json); - } - messagesPublished.incrementAndGet(); - // Increment cluster-wide counter - if (clusterMessageCounter != null) { - try { - clusterMessageCounter.incrementAndGet(); - } catch (Exception e) { - // Ignore cluster counter errors, not critical + /** Publish a Trade message */ + private void publishTrade() { + if (isDirectMode) { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); // Use ThreadLocalRandom + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double price = 100.0 + currentRandom.nextDouble() * 400.0; + final int quantity = currentRandom.nextInt(1000) + 100; + final String side = currentRandom.nextBoolean() ? "BUY" : "SELL"; + + String json = String.format("{\"type\":\"trade\",\"timestamp\":%d,\"tradeId\":%d,\"symbol\":\"%s\",\"price\":%.4f,\"quantity\":%d,\"side\":\"%s\"}", + System.currentTimeMillis(), tradeIdGenerator.incrementAndGet(), symbol, price, quantity, side); + if (++sampleCounter % SAMPLE_RATE == 0) { + broadcaster.broadcastWithArtificialLoad(json); + } + messagesPublished.incrementAndGet(); + // Increment cluster-wide counter + if (clusterMessageCounter != null) { + try { + clusterMessageCounter.incrementAndGet(); + } catch (Exception e) { + // Ignore cluster counter errors, not critical + } + } + return; } - } - return; + + int bufferOffset = 0; + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + + headerEncoder.wrap(buffer, bufferOffset) + .blockLength(tradeEncoder.sbeBlockLength()) + .templateId(tradeEncoder.sbeTemplateId()) + .schemaId(tradeEncoder.sbeSchemaId()) + .version(tradeEncoder.sbeSchemaVersion()); + + bufferOffset += headerEncoder.encodedLength(); + + tradeEncoder.wrap(buffer, bufferOffset) + .timestamp(System.currentTimeMillis()) + .tradeId(tradeIdGenerator.incrementAndGet()) + .price((long) ((100.0 + currentRandom.nextDouble() * 400.0) * 10000)) // $100-$500 + .quantity(currentRandom.nextInt(1000) + 100) + .side(currentRandom.nextBoolean() ? Side.BUY : Side.SELL) + .symbol(symbol); + + final int length = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + offer(buffer, 0, length, "Trade"); } - int bufferOffset = 0; - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; - - headerEncoder - .wrap(buffer, bufferOffset) - .blockLength(quoteEncoder.sbeBlockLength()) - .templateId(quoteEncoder.sbeTemplateId()) - .schemaId(quoteEncoder.sbeSchemaId()) - .version(quoteEncoder.sbeSchemaVersion()); - - bufferOffset += headerEncoder.encodedLength(); - - quoteEncoder - .wrap(buffer, bufferOffset) - .timestamp(System.currentTimeMillis()) - .bidPrice((long) ((basePrice - 0.01) * 10000)) - .bidSize(currentRandom.nextInt(10000) + 100) - .askPrice((long) ((basePrice + 0.01) * 10000)) - .askSize(currentRandom.nextInt(10000) + 100) - .symbol(symbol); - - final int length = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); - offer(buffer, 0, length, "Quote"); - } - - /** Publish a MarketDepth message */ - private void publishMarketDepth() { - if (isDirectMode) { - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; - final long timestamp = System.currentTimeMillis(); - final long seq = sequenceNumber.incrementAndGet(); - - StringBuilder bidsJson = new StringBuilder("["); - for (int i = 0; i < 5; i++) { - if (i > 0) bidsJson.append(","); - bidsJson.append( - String.format( - "{\"price\":%.4f,\"quantity\":%d}", - basePrice - (i + 1) * 0.01, currentRandom.nextInt(5000) + 100)); - } - bidsJson.append("]"); - - StringBuilder asksJson = new StringBuilder("["); - for (int i = 0; i < 5; i++) { - if (i > 0) asksJson.append(","); - asksJson.append( - String.format( - "{\"price\":%.4f,\"quantity\":%d}", - basePrice + (i + 1) * 0.01, currentRandom.nextInt(5000) + 100)); - } - asksJson.append("]"); - - String json = - String.format( - "{\"type\":\"depth\",\"timestamp\":%d,\"symbol\":\"%s\",\"sequence\":%d,\"bids\":%s,\"asks\":%s}", - timestamp, symbol, seq, bidsJson, asksJson); - if (++sampleCounter % SAMPLE_RATE == 0) { - broadcaster.broadcastWithArtificialLoad(json); - } - messagesPublished.incrementAndGet(); - // Increment cluster-wide counter - if (clusterMessageCounter != null) { - try { - clusterMessageCounter.incrementAndGet(); - } catch (Exception e) { - // Ignore cluster counter errors, not critical + /** Publish a Quote message */ + private void publishQuote() { + if (isDirectMode) { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; + final double bidPrice = basePrice - 0.01; + final double askPrice = basePrice + 0.01; + final int bidSize = currentRandom.nextInt(10000) + 100; + final int askSize = currentRandom.nextInt(10000) + 100; + + String json = String.format( + "{\"type\":\"quote\",\"timestamp\":%d,\"symbol\":\"%s\",\"bid\":{\"price\":%.4f,\"size\":%d},\"ask\":{\"price\":%.4f,\"size\":%d}}", + System.currentTimeMillis(), symbol, bidPrice, bidSize, askPrice, askSize); + if (++sampleCounter % SAMPLE_RATE == 0) { + broadcaster.broadcastWithArtificialLoad(json); + } + messagesPublished.incrementAndGet(); + // Increment cluster-wide counter + if (clusterMessageCounter != null) { + try { + clusterMessageCounter.incrementAndGet(); + } catch (Exception e) { + // Ignore cluster counter errors, not critical + } + } + return; } - } - return; - } - int bufferOffset = 0; - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); - final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; - final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; - - headerEncoder - .wrap(buffer, bufferOffset) - .blockLength(marketDepthEncoder.sbeBlockLength()) - .templateId(marketDepthEncoder.sbeTemplateId()) - .schemaId(marketDepthEncoder.sbeSchemaId()) - .version(marketDepthEncoder.sbeSchemaVersion()); - - bufferOffset += headerEncoder.encodedLength(); - - marketDepthEncoder - .wrap(buffer, bufferOffset) - .timestamp(System.currentTimeMillis()) - .sequenceNumber(sequenceNumber.incrementAndGet()); - - MarketDepthEncoder.BidsEncoder bidsEncoder = marketDepthEncoder.bidsCount(5); - for (int i = 0; i < 5; i++) { - bidsEncoder - .next() - .price((long) ((basePrice - (i + 1) * 0.01) * 10000)) - .quantity(currentRandom.nextInt(5000) + 100); + int bufferOffset = 0; + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; + + headerEncoder.wrap(buffer, bufferOffset) + .blockLength(quoteEncoder.sbeBlockLength()) + .templateId(quoteEncoder.sbeTemplateId()) + .schemaId(quoteEncoder.sbeSchemaId()) + .version(quoteEncoder.sbeSchemaVersion()); + + bufferOffset += headerEncoder.encodedLength(); + + quoteEncoder.wrap(buffer, bufferOffset) + .timestamp(System.currentTimeMillis()) + .bidPrice((long) ((basePrice - 0.01) * 10000)) + .bidSize(currentRandom.nextInt(10000) + 100) + .askPrice((long) ((basePrice + 0.01) * 10000)) + .askSize(currentRandom.nextInt(10000) + 100) + .symbol(symbol); + + final int length = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); + offer(buffer, 0, length, "Quote"); } - MarketDepthEncoder.AsksEncoder asksEncoder = marketDepthEncoder.asksCount(5); - for (int i = 0; i < 5; i++) { - asksEncoder - .next() - .price((long) ((basePrice + (i + 1) * 0.01) * 10000)) - .quantity(currentRandom.nextInt(5000) + 100); - } + /** Publish a MarketDepth message */ + private void publishMarketDepth() { + if (isDirectMode) { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; + final long timestamp = System.currentTimeMillis(); + final long seq = sequenceNumber.incrementAndGet(); + + StringBuilder bidsJson = new StringBuilder("["); + for (int i = 0; i < 5; i++) { + if (i > 0) + bidsJson.append(","); + bidsJson.append(String.format("{\"price\":%.4f,\"quantity\":%d}", basePrice - (i + 1) * 0.01, currentRandom.nextInt(5000) + 100)); + } + bidsJson.append("]"); + + StringBuilder asksJson = new StringBuilder("["); + for (int i = 0; i < 5; i++) { + if (i > 0) + asksJson.append(","); + asksJson.append(String.format("{\"price\":%.4f,\"quantity\":%d}", basePrice + (i + 1) * 0.01, currentRandom.nextInt(5000) + 100)); + } + asksJson.append("]"); + + String json = String.format("{\"type\":\"depth\",\"timestamp\":%d,\"symbol\":\"%s\",\"sequence\":%d,\"bids\":%s,\"asks\":%s}", timestamp, symbol, + seq, bidsJson, asksJson); + if (++sampleCounter % SAMPLE_RATE == 0) { + broadcaster.broadcastWithArtificialLoad(json); + } + messagesPublished.incrementAndGet(); + // Increment cluster-wide counter + if (clusterMessageCounter != null) { + try { + clusterMessageCounter.incrementAndGet(); + } catch (Exception e) { + // Ignore cluster counter errors, not critical + } + } + return; + } - marketDepthEncoder.symbol(symbol); + int bufferOffset = 0; + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); + final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; + final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; - final int length = headerEncoder.encodedLength() + marketDepthEncoder.encodedLength(); - offer(buffer, 0, length, "MarketDepth"); - } + headerEncoder.wrap(buffer, bufferOffset) + .blockLength(marketDepthEncoder.sbeBlockLength()) + .templateId(marketDepthEncoder.sbeTemplateId()) + .schemaId(marketDepthEncoder.sbeSchemaId()) + .version(marketDepthEncoder.sbeSchemaVersion()); - /** Publish a Heartbeat message */ - private void publishHeartbeat() { - if (isDirectMode) { - // In DIRECT mode, we just increment counter but don't broadcast heartbeats to UI - // as they are mainly for system health checks in the Aeron log - messagesPublished.incrementAndGet(); - return; - } + bufferOffset += headerEncoder.encodedLength(); - int bufferOffset = 0; + marketDepthEncoder.wrap(buffer, bufferOffset).timestamp(System.currentTimeMillis()).sequenceNumber(sequenceNumber.incrementAndGet()); - headerEncoder - .wrap(buffer, bufferOffset) - .blockLength(heartbeatEncoder.sbeBlockLength()) - .templateId(heartbeatEncoder.sbeTemplateId()) - .schemaId(heartbeatEncoder.sbeSchemaId()) - .version(heartbeatEncoder.sbeSchemaVersion()); + MarketDepthEncoder.BidsEncoder bidsEncoder = marketDepthEncoder.bidsCount(5); + for (int i = 0; i < 5; i++) { + bidsEncoder.next().price((long) ((basePrice - (i + 1) * 0.01) * 10000)).quantity(currentRandom.nextInt(5000) + 100); + } - bufferOffset += headerEncoder.encodedLength(); + MarketDepthEncoder.AsksEncoder asksEncoder = marketDepthEncoder.asksCount(5); + for (int i = 0; i < 5; i++) { + asksEncoder.next().price((long) ((basePrice + (i + 1) * 0.01) * 10000)).quantity(currentRandom.nextInt(5000) + 100); + } - heartbeatEncoder - .wrap(buffer, bufferOffset) - .timestamp(System.currentTimeMillis()) - .sequenceNumber(sequenceNumber.get()); + marketDepthEncoder.symbol(symbol); - final int length = headerEncoder.encodedLength() + heartbeatEncoder.encodedLength(); - offer(buffer, 0, length, "Heartbeat"); - } + final int length = headerEncoder.encodedLength() + marketDepthEncoder.encodedLength(); + offer(buffer, 0, length, "MarketDepth"); + } - /** Offer buffer to Aeron publication with retry logic */ - private void offer(UnsafeBuffer buffer, int offset, int length, String messageType) { - long result; - int retries = 3; + /** Publish a Heartbeat message */ + private void publishHeartbeat() { + if (isDirectMode) { + // In DIRECT mode, we just increment counter but don't broadcast heartbeats to UI + // as they are mainly for system health checks in the Aeron log + messagesPublished.incrementAndGet(); + return; + } - while (retries > 0) { - result = publication.offer(buffer, offset, length); + int bufferOffset = 0; - if (result > 0) { - messagesPublished.incrementAndGet(); - // Increment cluster-wide counter - if (clusterMessageCounter != null) { - try { - clusterMessageCounter.incrementAndGet(); - } catch (Exception e) { - // Ignore cluster counter errors, not critical - } + headerEncoder.wrap(buffer, bufferOffset) + .blockLength(heartbeatEncoder.sbeBlockLength()) + .templateId(heartbeatEncoder.sbeTemplateId()) + .schemaId(heartbeatEncoder.sbeSchemaId()) + .version(heartbeatEncoder.sbeSchemaVersion()); + + bufferOffset += headerEncoder.encodedLength(); + + heartbeatEncoder.wrap(buffer, bufferOffset).timestamp(System.currentTimeMillis()).sequenceNumber(sequenceNumber.get()); + + final int length = headerEncoder.encodedLength() + heartbeatEncoder.encodedLength(); + offer(buffer, 0, length, "Heartbeat"); + } + + /** Offer buffer to Aeron publication with retry logic */ + private void offer(UnsafeBuffer buffer, int offset, int length, String messageType) { + long result; + int retries = 3; + + while (retries > 0) { + result = publication.offer(buffer, offset, length); + + if (result > 0) { + messagesPublished.incrementAndGet(); + // Increment cluster-wide counter + if (clusterMessageCounter != null) { + try { + clusterMessageCounter.incrementAndGet(); + } catch (Exception e) { + // Ignore cluster counter errors, not critical + } + } + consecutiveFailures.set(0); + return; + } else if (result == Publication.BACK_PRESSURED) { + continue; + } else if (result == Publication.NOT_CONNECTED) { + logWarningRateLimited("Publication not connected"); + handlePublishFailure(messageType); + return; + } else { + logWarningRateLimited("Offer failed for " + messageType + ": " + result); + handlePublishFailure(messageType); + return; + } } - consecutiveFailures.set(0); - return; - } else if (result == Publication.BACK_PRESSURED) { - continue; - } else if (result == Publication.NOT_CONNECTED) { - logWarningRateLimited("Publication not connected"); - handlePublishFailure(messageType); - return; - } else { - logWarningRateLimited("Offer failed for " + messageType + ": " + result); + + logWarningRateLimited("Failed to publish " + messageType + " after retries"); handlePublishFailure(messageType); - return; - } } - logWarningRateLimited("Failed to publish " + messageType + " after retries"); - handlePublishFailure(messageType); - } - - private void logWarningRateLimited(String message) { - long now = System.currentTimeMillis(); - if (now - lastWarningLogTime >= WARNING_LOG_INTERVAL_MS) { - LOGGER.warning(message); - lastWarningLogTime = now; + private void logWarningRateLimited(String message) { + long now = System.currentTimeMillis(); + if (now - lastWarningLogTime >= WARNING_LOG_INTERVAL_MS) { + LOGGER.warning(message); + lastWarningLogTime = now; + } } - } - - private void handlePublishFailure(String messageType) { - int failures = consecutiveFailures.incrementAndGet(); - if (failures >= MAX_CONSECUTIVE_FAILURES) { - LOGGER.severe( - String.format( - "Circuit breaker triggered: %d consecutive publish failures (last attempted: %s). Stopping message generation.", - failures, messageType)); - running = false; + + private void handlePublishFailure(String messageType) { + int failures = consecutiveFailures.incrementAndGet(); + if (failures >= MAX_CONSECUTIVE_FAILURES) { + LOGGER.severe(String.format("Circuit breaker triggered: %d consecutive publish failures (last attempted: %s). Stopping message generation.", + failures, messageType)); + running = false; + } } - } - @PreDestroy - public void shutdown() { - LOGGER.info("Shutting down Market Data Publisher..."); + @PreDestroy + public void shutdown() { + LOGGER.info("Shutting down Market Data Publisher..."); - running = false; + running = false; - if (publisherFuture != null) { - publisherFuture.cancel(true); - } + if (publisherFuture != null) { + publisherFuture.cancel(true); + } - if (statsFuture != null) { - statsFuture.cancel(true); - } + if (statsFuture != null) { + statsFuture.cancel(true); + } - if (publication != null) { - publication.close(); + if (publication != null) { + publication.close(); + } + if (aeron != null) { + aeron.close(); + } + + LOGGER.info("Market Data Publisher shut down. Total messages published: " + messagesPublished.get()); } - if (aeron != null) { - aeron.close(); + + public long getMessagesPublished() { + return messagesPublished.get(); } - LOGGER.info( - "Market Data Publisher shut down. Total messages published: " + messagesPublished.get()); - } - - public long getMessagesPublished() { - return messagesPublished.get(); - } - - public long getClusterMessagesPublished() { - if (clusterMessageCounter != null) { - try { - return clusterMessageCounter.get(); - } catch (Exception e) { - LOGGER.log(Level.WARNING, "Failed to read cluster message counter", e); - } + public long getClusterMessagesPublished() { + if (clusterMessageCounter != null) { + try { + return clusterMessageCounter.get(); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to read cluster message counter", e); + } + } + return 0; } - return 0; - } } diff --git a/src/main/java/fish/payara/trader/concurrency/ConcurrencyConfig.java b/src/main/java/fish/payara/trader/concurrency/ConcurrencyConfig.java index 1317877..caab85b 100644 --- a/src/main/java/fish/payara/trader/concurrency/ConcurrencyConfig.java +++ b/src/main/java/fish/payara/trader/concurrency/ConcurrencyConfig.java @@ -4,12 +4,9 @@ import jakarta.enterprise.context.ApplicationScoped; /** - * Configuration for Jakarta Concurrency resources. Defines a ManagedExecutorService that uses - * Virtual Threads (Project Loom). + * Configuration for Jakarta Concurrency resources. Defines a ManagedExecutorService that uses Virtual Threads (Project Loom). */ @ApplicationScoped -@ManagedExecutorDefinition( - name = "java:module/concurrent/VirtualThreadExecutor", - virtual = true, - qualifiers = {VirtualThreadExecutor.class}) -public class ConcurrencyConfig {} +@ManagedExecutorDefinition(name = "java:module/concurrent/VirtualThreadExecutor", virtual = true, qualifiers = {VirtualThreadExecutor.class}) +public class ConcurrencyConfig { +} diff --git a/src/main/java/fish/payara/trader/concurrency/VirtualThreadExecutor.java b/src/main/java/fish/payara/trader/concurrency/VirtualThreadExecutor.java index eb1d993..6cdf766 100644 --- a/src/main/java/fish/payara/trader/concurrency/VirtualThreadExecutor.java +++ b/src/main/java/fish/payara/trader/concurrency/VirtualThreadExecutor.java @@ -14,4 +14,5 @@ @Qualifier @Retention(RUNTIME) @Target({METHOD, FIELD, PARAMETER, TYPE}) -public @interface VirtualThreadExecutor {} +public @interface VirtualThreadExecutor { +} diff --git a/src/main/java/fish/payara/trader/gc/GCStats.java b/src/main/java/fish/payara/trader/gc/GCStats.java index c2da5d6..b0f07ff 100644 --- a/src/main/java/fish/payara/trader/gc/GCStats.java +++ b/src/main/java/fish/payara/trader/gc/GCStats.java @@ -4,154 +4,156 @@ import java.util.Map; public class GCStats { - private String gcName; - private long collectionCount; - private long collectionTime; - private long lastPauseDuration; - private List recentPauses; - private PausePercentiles percentiles; - private long totalMemory; - private long usedMemory; - private long freeMemory; - private Map phaseBreakdown; - - public static class PausePercentiles { - private long p50; - private long p95; - private long p99; - private long p999; - private long max; - - public PausePercentiles() {} - - public PausePercentiles(long p50, long p95, long p99, long p999, long max) { - this.p50 = p50; - this.p95 = p95; - this.p99 = p99; - this.p999 = p999; - this.max = max; + private String gcName; + private long collectionCount; + private long collectionTime; + private long lastPauseDuration; + private List recentPauses; + private PausePercentiles percentiles; + private long totalMemory; + private long usedMemory; + private long freeMemory; + private Map phaseBreakdown; + + public static class PausePercentiles { + private long p50; + private long p95; + private long p99; + private long p999; + private long max; + + public PausePercentiles() { + } + + public PausePercentiles(long p50, long p95, long p99, long p999, long max) { + this.p50 = p50; + this.p95 = p95; + this.p99 = p99; + this.p999 = p999; + this.max = max; + } + + public long getP50() { + return p50; + } + + public void setP50(long p50) { + this.p50 = p50; + } + + public long getP95() { + return p95; + } + + public void setP95(long p95) { + this.p95 = p95; + } + + public long getP99() { + return p99; + } + + public void setP99(long p99) { + this.p99 = p99; + } + + public long getP999() { + return p999; + } + + public void setP999(long p999) { + this.p999 = p999; + } + + public long getMax() { + return max; + } + + public void setMax(long max) { + this.max = max; + } } - public long getP50() { - return p50; + public GCStats() { } - public void setP50(long p50) { - this.p50 = p50; + public String getGcName() { + return gcName; } - public long getP95() { - return p95; + public void setGcName(String gcName) { + this.gcName = gcName; } - public void setP95(long p95) { - this.p95 = p95; + public long getCollectionCount() { + return collectionCount; } - public long getP99() { - return p99; + public void setCollectionCount(long collectionCount) { + this.collectionCount = collectionCount; } - public void setP99(long p99) { - this.p99 = p99; + public long getCollectionTime() { + return collectionTime; } - public long getP999() { - return p999; + public void setCollectionTime(long collectionTime) { + this.collectionTime = collectionTime; } - public void setP999(long p999) { - this.p999 = p999; + public long getLastPauseDuration() { + return lastPauseDuration; } - public long getMax() { - return max; + public void setLastPauseDuration(long lastPauseDuration) { + this.lastPauseDuration = lastPauseDuration; } - public void setMax(long max) { - this.max = max; + public List getRecentPauses() { + return recentPauses; } - } - - public GCStats() {} - - public String getGcName() { - return gcName; - } - - public void setGcName(String gcName) { - this.gcName = gcName; - } - - public long getCollectionCount() { - return collectionCount; - } - - public void setCollectionCount(long collectionCount) { - this.collectionCount = collectionCount; - } - - public long getCollectionTime() { - return collectionTime; - } - - public void setCollectionTime(long collectionTime) { - this.collectionTime = collectionTime; - } - - public long getLastPauseDuration() { - return lastPauseDuration; - } - - public void setLastPauseDuration(long lastPauseDuration) { - this.lastPauseDuration = lastPauseDuration; - } - public List getRecentPauses() { - return recentPauses; - } - - public void setRecentPauses(List recentPauses) { - this.recentPauses = recentPauses; - } + public void setRecentPauses(List recentPauses) { + this.recentPauses = recentPauses; + } - public PausePercentiles getPercentiles() { - return percentiles; - } + public PausePercentiles getPercentiles() { + return percentiles; + } - public void setPercentiles(PausePercentiles percentiles) { - this.percentiles = percentiles; - } + public void setPercentiles(PausePercentiles percentiles) { + this.percentiles = percentiles; + } - public long getTotalMemory() { - return totalMemory; - } + public long getTotalMemory() { + return totalMemory; + } - public void setTotalMemory(long totalMemory) { - this.totalMemory = totalMemory; - } + public void setTotalMemory(long totalMemory) { + this.totalMemory = totalMemory; + } - public long getUsedMemory() { - return usedMemory; - } + public long getUsedMemory() { + return usedMemory; + } - public void setUsedMemory(long usedMemory) { - this.usedMemory = usedMemory; - } + public void setUsedMemory(long usedMemory) { + this.usedMemory = usedMemory; + } - public long getFreeMemory() { - return freeMemory; - } + public long getFreeMemory() { + return freeMemory; + } - public void setFreeMemory(long freeMemory) { - this.freeMemory = freeMemory; - } + public void setFreeMemory(long freeMemory) { + this.freeMemory = freeMemory; + } - public Map getPhaseBreakdown() { - return phaseBreakdown; - } + public Map getPhaseBreakdown() { + return phaseBreakdown; + } - public void setPhaseBreakdown(Map phaseBreakdown) { - this.phaseBreakdown = phaseBreakdown; - } + public void setPhaseBreakdown(Map phaseBreakdown) { + this.phaseBreakdown = phaseBreakdown; + } } diff --git a/src/main/java/fish/payara/trader/gc/GCStatsService.java b/src/main/java/fish/payara/trader/gc/GCStatsService.java index 74064bc..e4a3368 100644 --- a/src/main/java/fish/payara/trader/gc/GCStatsService.java +++ b/src/main/java/fish/payara/trader/gc/GCStatsService.java @@ -20,288 +20,270 @@ @ApplicationScoped public class GCStatsService implements NotificationListener { - private static final Logger LOGGER = Logger.getLogger(GCStatsService.class.getName()); - private static final int MAX_PAUSE_HISTORY = 1000; - - private final Map> pauseHistory = new HashMap<>(); - private final Map> phaseHistory = new HashMap<>(); - - /** - * Breakdown of GC pause into constituent phases (e.g., Mark, Relocate, Evacuate). - * - *

Not all JVMs expose detailed phase information via GcInfo. When unavailable, the breakdown - * will contain only a "Total" phase with the full pause duration. This is a best-effort - * extraction that varies by GC implementation (G1, C4, ZGC, etc.). - */ - public static class GCPhaseBreakdown { - public final long totalDurationMs; - public final Map phaseDurationsMs; - public final long timestamp; - - public GCPhaseBreakdown( - long totalDurationMs, Map phaseDurationsMs, long timestamp) { - this.totalDurationMs = totalDurationMs; - this.phaseDurationsMs = Map.copyOf(phaseDurationsMs); // Immutable copy - this.timestamp = timestamp; + private static final Logger LOGGER = Logger.getLogger(GCStatsService.class.getName()); + private static final int MAX_PAUSE_HISTORY = 1000; + + private final Map> pauseHistory = new HashMap<>(); + private final Map> phaseHistory = new HashMap<>(); + + /** + * Breakdown of GC pause into constituent phases (e.g., Mark, Relocate, Evacuate). + * + *

+ * Not all JVMs expose detailed phase information via GcInfo. When unavailable, the breakdown will contain only a "Total" phase with the full pause + * duration. This is a best-effort extraction that varies by GC implementation (G1, C4, ZGC, etc.). + */ + public static class GCPhaseBreakdown { + public final long totalDurationMs; + public final Map phaseDurationsMs; + public final long timestamp; + + public GCPhaseBreakdown(long totalDurationMs, Map phaseDurationsMs, long timestamp) { + this.totalDurationMs = totalDurationMs; + this.phaseDurationsMs = Map.copyOf(phaseDurationsMs); // Immutable copy + this.timestamp = timestamp; + } } - } - - /** - * Statistics for a single GC phase across multiple collections. - * - *

Provides percentile distribution of phase durations to identify which phases dominate pause - * times. - */ - public static class PhaseStats { - public final String phaseName; - public final long count; - public final long p50Ms; - public final long p95Ms; - public final long p99Ms; - public final long maxMs; - - public PhaseStats( - String phaseName, long count, long p50Ms, long p95Ms, long p99Ms, long maxMs) { - this.phaseName = phaseName; - this.count = count; - this.p50Ms = p50Ms; - this.p95Ms = p95Ms; - this.p99Ms = p99Ms; - this.maxMs = maxMs; + + /** + * Statistics for a single GC phase across multiple collections. + * + *

+ * Provides percentile distribution of phase durations to identify which phases dominate pause times. + */ + public static class PhaseStats { + public final String phaseName; + public final long count; + public final long p50Ms; + public final long p95Ms; + public final long p99Ms; + public final long maxMs; + + public PhaseStats(String phaseName, long count, long p50Ms, long p95Ms, long p99Ms, long maxMs) { + this.phaseName = phaseName; + this.count = count; + this.p50Ms = p50Ms; + this.p95Ms = p95Ms; + this.p99Ms = p99Ms; + this.maxMs = maxMs; + } } - } - - @PostConstruct - public void init() { - LOGGER.info("Initializing GC Notification Listener..."); - List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); - for (GarbageCollectorMXBean gcBean : gcBeans) { - LOGGER.info("Registering listener for GC Bean: " + gcBean.getName()); - if (gcBean instanceof NotificationEmitter) { - ((NotificationEmitter) gcBean).addNotificationListener(this, null, null); - } + + @PostConstruct + public void init() { + LOGGER.info("Initializing GC Notification Listener..."); + List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); + for (GarbageCollectorMXBean gcBean : gcBeans) { + LOGGER.info("Registering listener for GC Bean: " + gcBean.getName()); + if (gcBean instanceof NotificationEmitter) { + ((NotificationEmitter) gcBean).addNotificationListener(this, null, null); + } + } } - } - - @Override - public void handleNotification(Notification notification, Object handback) { - if (notification - .getType() - .equals(GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION)) { - GarbageCollectionNotificationInfo info = - GarbageCollectionNotificationInfo.from((CompositeData) notification.getUserData()); - - String gcName = info.getGcName(); - String gcAction = info.getGcAction(); - String gcCause = info.getGcCause(); - GcInfo gcInfo = info.getGcInfo(); - long duration = gcInfo.getDuration(); - - // FILTERING LOGIC: - // Azul C4 exposes "GPGC" (Concurrent Cycle) and "GPGC Pauses" (STW Pauses). - // We MUST ignore "GPGC" because it reports cycle time (hundreds of ms) which is NOT a pause. - if ("GPGC".equals(gcName)) { - return; - } - - // Also ignore other known concurrent cycle beans if they appear - if (gcName.contains("Cycles") && !gcName.contains("Pauses")) { - return; - } - - // Pause duration history (existing logic) - ConcurrentLinkedDeque history = - pauseHistory.computeIfAbsent(gcName, k -> new ConcurrentLinkedDeque<>()); - history.addLast(duration); - while (history.size() > MAX_PAUSE_HISTORY) { - history.removeFirst(); - } - - // Phase breakdown extraction (new logic) - Map phaseTimes = extractPhaseTimes(gcInfo, gcName, gcAction); - GCPhaseBreakdown breakdown = - new GCPhaseBreakdown(duration, phaseTimes, System.currentTimeMillis()); - - ConcurrentLinkedDeque phaseHist = - phaseHistory.computeIfAbsent(gcName, k -> new ConcurrentLinkedDeque<>()); - phaseHist.addLast(breakdown); - while (phaseHist.size() > MAX_PAUSE_HISTORY) { - phaseHist.removeFirst(); - } - - if (duration > 10) { - LOGGER.info( - String.format( - "GC Pause detected: %s | Action: %s | Cause: %s | Duration: %d ms", - gcName, gcAction, gcCause, duration)); - } + + @Override + public void handleNotification(Notification notification, Object handback) { + if (notification.getType().equals(GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION)) { + GarbageCollectionNotificationInfo info = GarbageCollectionNotificationInfo.from((CompositeData) notification.getUserData()); + + String gcName = info.getGcName(); + String gcAction = info.getGcAction(); + String gcCause = info.getGcCause(); + GcInfo gcInfo = info.getGcInfo(); + long duration = gcInfo.getDuration(); + + // FILTERING LOGIC: + // Azul C4 exposes "GPGC" (Concurrent Cycle) and "GPGC Pauses" (STW Pauses). + // We MUST ignore "GPGC" because it reports cycle time (hundreds of ms) which is NOT a pause. + if ("GPGC".equals(gcName)) { + return; + } + + // Also ignore other known concurrent cycle beans if they appear + if (gcName.contains("Cycles") && !gcName.contains("Pauses")) { + return; + } + + // Pause duration history (existing logic) + ConcurrentLinkedDeque history = pauseHistory.computeIfAbsent(gcName, k -> new ConcurrentLinkedDeque<>()); + history.addLast(duration); + while (history.size() > MAX_PAUSE_HISTORY) { + history.removeFirst(); + } + + // Phase breakdown extraction (new logic) + Map phaseTimes = extractPhaseTimes(gcInfo, gcName, gcAction); + GCPhaseBreakdown breakdown = new GCPhaseBreakdown(duration, phaseTimes, System.currentTimeMillis()); + + ConcurrentLinkedDeque phaseHist = phaseHistory.computeIfAbsent(gcName, k -> new ConcurrentLinkedDeque<>()); + phaseHist.addLast(breakdown); + while (phaseHist.size() > MAX_PAUSE_HISTORY) { + phaseHist.removeFirst(); + } + + if (duration > 10) { + LOGGER.info(String.format("GC Pause detected: %s | Action: %s | Cause: %s | Duration: %d ms", gcName, gcAction, gcCause, duration)); + } + } } - } - - /** - * Extracts GC phase timings from GcInfo metadata. - * - *

This is JVM and collector-specific - detailed phase data may not be available on all - * platforms. The standard GcInfo API does not expose phase-level timing; vendors may provide this - * via custom MBeans or extended attributes. - * - *

For production-grade phase analysis, consider parsing GC logs with -Xlog:gc*=debug or using - * vendor-specific monitoring tools. - * - * @param gcInfo GC information from notification - * @param gcName Name of garbage collector (e.g., "G1 Young Generation", "GPGC Pauses") - * @param gcAction GC action string (e.g., "end of minor GC", "end of major GC") - * @return Map of phase names to durations in milliseconds. Contains at minimum a "Total" entry - * with the full pause duration. - */ - private Map extractPhaseTimes(GcInfo gcInfo, String gcName, String gcAction) { - Map phases = new HashMap<>(); - - try { - // Fallback: Always include total duration as baseline - phases.put("Total", gcInfo.getDuration()); - - // Vendor-specific extraction would go here - // GcInfo doesn't expose phases in the standard API - // - // For G1GC: Would need to parse GC logs or use JFR events - // For C4: Would need Azul-specific MBeans - // For ZGC/Shenandoah: Would need to parse logs or use vendor tools - // - // Current implementation provides "Total" phase as a foundation. - // Future enhancement: Add vendor-specific extraction logic. - - } catch (Exception e) { - LOGGER.fine("Could not extract GC phase breakdown: " + e.getMessage()); - phases.clear(); - phases.put("Total", gcInfo.getDuration()); + + /** + * Extracts GC phase timings from GcInfo metadata. + * + *

+ * This is JVM and collector-specific - detailed phase data may not be available on all platforms. The standard GcInfo API does not expose phase-level + * timing; vendors may provide this via custom MBeans or extended attributes. + * + *

+ * For production-grade phase analysis, consider parsing GC logs with -Xlog:gc*=debug or using vendor-specific monitoring tools. + * + * @param gcInfo + * GC information from notification + * @param gcName + * Name of garbage collector (e.g., "G1 Young Generation", "GPGC Pauses") + * @param gcAction + * GC action string (e.g., "end of minor GC", "end of major GC") + * @return Map of phase names to durations in milliseconds. Contains at minimum a "Total" entry with the full pause duration. + */ + private Map extractPhaseTimes(GcInfo gcInfo, String gcName, String gcAction) { + Map phases = new HashMap<>(); + + try { + // Fallback: Always include total duration as baseline + phases.put("Total", gcInfo.getDuration()); + + // Vendor-specific extraction would go here + // GcInfo doesn't expose phases in the standard API + // + // For G1GC: Would need to parse GC logs or use JFR events + // For C4: Would need Azul-specific MBeans + // For ZGC/Shenandoah: Would need to parse logs or use vendor tools + // + // Current implementation provides "Total" phase as a foundation. + // Future enhancement: Add vendor-specific extraction logic. + + } catch (Exception e) { + LOGGER.fine("Could not extract GC phase breakdown: " + e.getMessage()); + phases.clear(); + phases.put("Total", gcInfo.getDuration()); + } + + return phases; } - return phases; - } + public List collectGCStats() { + List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); + MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean(); + MemoryUsage heapUsage = memoryBean.getHeapMemoryUsage(); - public List collectGCStats() { - List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); - MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean(); - MemoryUsage heapUsage = memoryBean.getHeapMemoryUsage(); + List statsList = new ArrayList<>(); - List statsList = new ArrayList<>(); + for (GarbageCollectorMXBean gcBean : gcBeans) { + String gcName = gcBean.getName(); - for (GarbageCollectorMXBean gcBean : gcBeans) { - String gcName = gcBean.getName(); + // Exclude concurrent cycle collectors from the public stats to avoid confusion + if ("GPGC".equals(gcName) || (gcName.contains("Cycles") && !gcName.contains("Pauses"))) { + continue; + } - // Exclude concurrent cycle collectors from the public stats to avoid confusion - if ("GPGC".equals(gcName) || (gcName.contains("Cycles") && !gcName.contains("Pauses"))) { - continue; - } + GCStats stats = new GCStats(); + stats.setGcName(gcName); + stats.setCollectionCount(gcBean.getCollectionCount()); + stats.setCollectionTime(gcBean.getCollectionTime()); - GCStats stats = new GCStats(); - stats.setGcName(gcName); - stats.setCollectionCount(gcBean.getCollectionCount()); - stats.setCollectionTime(gcBean.getCollectionTime()); + ConcurrentLinkedDeque history = pauseHistory.get(gcName); + if (history != null && !history.isEmpty()) { + List pauses = new ArrayList<>(history); + stats.setLastPauseDuration(pauses.get(pauses.size() - 1)); - ConcurrentLinkedDeque history = pauseHistory.get(gcName); - if (history != null && !history.isEmpty()) { - List pauses = new ArrayList<>(history); - stats.setLastPauseDuration(pauses.get(pauses.size() - 1)); + stats.setRecentPauses(pauses.subList(Math.max(0, pauses.size() - 100), pauses.size())); - stats.setRecentPauses(pauses.subList(Math.max(0, pauses.size() - 100), pauses.size())); + List sortedPauses = pauses.stream().sorted().collect(Collectors.toList()); - List sortedPauses = pauses.stream().sorted().collect(Collectors.toList()); + stats.setPercentiles(calculatePercentiles(sortedPauses)); + } else { + stats.setLastPauseDuration(0); + stats.setRecentPauses(Collections.emptyList()); + stats.setPercentiles(new GCStats.PausePercentiles(0, 0, 0, 0, 0)); + } - stats.setPercentiles(calculatePercentiles(sortedPauses)); - } else { - stats.setLastPauseDuration(0); - stats.setRecentPauses(Collections.emptyList()); - stats.setPercentiles(new GCStats.PausePercentiles(0, 0, 0, 0, 0)); - } + stats.setTotalMemory(heapUsage.getMax()); + stats.setUsedMemory(heapUsage.getUsed()); + stats.setFreeMemory(heapUsage.getMax() - heapUsage.getUsed()); - stats.setTotalMemory(heapUsage.getMax()); - stats.setUsedMemory(heapUsage.getUsed()); - stats.setFreeMemory(heapUsage.getMax() - heapUsage.getUsed()); + // Add phase breakdown if available + ConcurrentLinkedDeque phaseHist = phaseHistory.get(gcName); + if (phaseHist != null && !phaseHist.isEmpty()) { + stats.setPhaseBreakdown(calculatePhaseStats(new ArrayList<>(phaseHist))); + } - // Add phase breakdown if available - ConcurrentLinkedDeque phaseHist = phaseHistory.get(gcName); - if (phaseHist != null && !phaseHist.isEmpty()) { - stats.setPhaseBreakdown(calculatePhaseStats(new ArrayList<>(phaseHist))); - } + statsList.add(stats); + } - statsList.add(stats); + return statsList; } - return statsList; - } + private GCStats.PausePercentiles calculatePercentiles(List sortedPauses) { + if (sortedPauses.isEmpty()) { + return new GCStats.PausePercentiles(0, 0, 0, 0, 0); + } - private GCStats.PausePercentiles calculatePercentiles(List sortedPauses) { - if (sortedPauses.isEmpty()) { - return new GCStats.PausePercentiles(0, 0, 0, 0, 0); + int size = sortedPauses.size(); + return new GCStats.PausePercentiles(percentile(sortedPauses, 0.50), percentile(sortedPauses, 0.95), percentile(sortedPauses, 0.99), + percentile(sortedPauses, 0.999), sortedPauses.get(size - 1)); } - int size = sortedPauses.size(); - return new GCStats.PausePercentiles( - percentile(sortedPauses, 0.50), - percentile(sortedPauses, 0.95), - percentile(sortedPauses, 0.99), - percentile(sortedPauses, 0.999), - sortedPauses.get(size - 1)); - } - - private long percentile(List sortedValues, double percentile) { - int index = (int) Math.ceil(percentile * sortedValues.size()) - 1; - index = Math.max(0, Math.min(index, sortedValues.size() - 1)); - return sortedValues.get(index); - } - - /** - * Calculates per-phase statistics from breakdown history. - * - *

Groups phase durations by phase name and computes percentiles for each phase independently. - * This allows identifying which phases contribute most to pause times (e.g., "Mark" vs "Evacuate" - * in G1GC). - * - * @param breakdowns List of GC phase breakdowns from notification history - * @return Map of phase names to statistics (count, percentiles) - */ - private Map calculatePhaseStats(List breakdowns) { - Map phaseStatsMap = new HashMap<>(); - - if (breakdowns.isEmpty()) { - return phaseStatsMap; + private long percentile(List sortedValues, double percentile) { + int index = (int) Math.ceil(percentile * sortedValues.size()) - 1; + index = Math.max(0, Math.min(index, sortedValues.size() - 1)); + return sortedValues.get(index); } - // Group durations by phase name - Map> phaseGroups = new HashMap<>(); - for (GCPhaseBreakdown breakdown : breakdowns) { - for (Map.Entry entry : breakdown.phaseDurationsMs.entrySet()) { - phaseGroups.computeIfAbsent(entry.getKey(), k -> new ArrayList<>()).add(entry.getValue()); - } + /** + * Calculates per-phase statistics from breakdown history. + * + *

+ * Groups phase durations by phase name and computes percentiles for each phase independently. This allows identifying which phases contribute most to pause + * times (e.g., "Mark" vs "Evacuate" in G1GC). + * + * @param breakdowns + * List of GC phase breakdowns from notification history + * @return Map of phase names to statistics (count, percentiles) + */ + private Map calculatePhaseStats(List breakdowns) { + Map phaseStatsMap = new HashMap<>(); + + if (breakdowns.isEmpty()) { + return phaseStatsMap; + } + + // Group durations by phase name + Map> phaseGroups = new HashMap<>(); + for (GCPhaseBreakdown breakdown : breakdowns) { + for (Map.Entry entry : breakdown.phaseDurationsMs.entrySet()) { + phaseGroups.computeIfAbsent(entry.getKey(), k -> new ArrayList<>()).add(entry.getValue()); + } + } + + // Calculate percentiles for each phase + for (Map.Entry> entry : phaseGroups.entrySet()) { + String phaseName = entry.getKey(); + List durations = entry.getValue(); + Collections.sort(durations); + + PhaseStats stats = new PhaseStats(phaseName, durations.size(), percentile(durations, 0.50), percentile(durations, 0.95), + percentile(durations, 0.99), durations.get(durations.size() - 1) // max + ); + + phaseStatsMap.put(phaseName, stats); + } + + return phaseStatsMap; } - // Calculate percentiles for each phase - for (Map.Entry> entry : phaseGroups.entrySet()) { - String phaseName = entry.getKey(); - List durations = entry.getValue(); - Collections.sort(durations); - - PhaseStats stats = - new PhaseStats( - phaseName, - durations.size(), - percentile(durations, 0.50), - percentile(durations, 0.95), - percentile(durations, 0.99), - durations.get(durations.size() - 1) // max - ); - - phaseStatsMap.put(phaseName, stats); + public void resetStats() { + pauseHistory.clear(); + phaseHistory.clear(); + LOGGER.info("GC statistics reset"); } - - return phaseStatsMap; - } - - public void resetStats() { - pauseHistory.clear(); - phaseHistory.clear(); - LOGGER.info("GC statistics reset"); - } } diff --git a/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java b/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java index c45adcb..7065b73 100644 --- a/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java +++ b/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java @@ -22,208 +22,183 @@ @ApplicationScoped public class GCPauseMonitor implements NotificationListener { - private static final Logger LOGGER = Logger.getLogger(GCPauseMonitor.class.getName()); + private static final Logger LOGGER = Logger.getLogger(GCPauseMonitor.class.getName()); - private static final int MAX_PAUSE_HISTORY = 500; + private static final int MAX_PAUSE_HISTORY = 500; - private final ConcurrentLinkedDeque pauseHistory = new ConcurrentLinkedDeque<>(); + private final ConcurrentLinkedDeque pauseHistory = new ConcurrentLinkedDeque<>(); - private final AtomicLong totalPauseCount = new AtomicLong(0); - private final AtomicLong totalPauseTimeMs = new AtomicLong(0); - private volatile long maxPauseMs = 0; + private final AtomicLong totalPauseCount = new AtomicLong(0); + private final AtomicLong totalPauseTimeMs = new AtomicLong(0); + private volatile long maxPauseMs = 0; - private final AtomicLong violationsOver10ms = new AtomicLong(0); - private final AtomicLong violationsOver50ms = new AtomicLong(0); - private final AtomicLong violationsOver100ms = new AtomicLong(0); + private final AtomicLong violationsOver10ms = new AtomicLong(0); + private final AtomicLong violationsOver50ms = new AtomicLong(0); + private final AtomicLong violationsOver100ms = new AtomicLong(0); - private final List emitters = new ArrayList<>(); + private final List emitters = new ArrayList<>(); - @PostConstruct - public void init() { - LOGGER.info("Initializing GC Pause Monitor with JMX notifications"); + @PostConstruct + public void init() { + LOGGER.info("Initializing GC Pause Monitor with JMX notifications"); - List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); + List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); - for (GarbageCollectorMXBean gcBean : gcBeans) { - if (gcBean instanceof NotificationEmitter) { - NotificationEmitter emitter = (NotificationEmitter) gcBean; - emitter.addNotificationListener(this, null, null); - emitters.add(emitter); - LOGGER.info("Registered GC notification listener for: " + gcBean.getName()); - } - } + for (GarbageCollectorMXBean gcBean : gcBeans) { + if (gcBean instanceof NotificationEmitter) { + NotificationEmitter emitter = (NotificationEmitter) gcBean; + emitter.addNotificationListener(this, null, null); + emitters.add(emitter); + LOGGER.info("Registered GC notification listener for: " + gcBean.getName()); + } + } - if (emitters.isEmpty()) { - LOGGER.warning("No GC notification emitters found - pause monitoring may be limited"); - } - } - - @PreDestroy - public void cleanup() { - for (NotificationEmitter emitter : emitters) { - try { - emitter.removeNotificationListener(this); - } catch (Exception e) { - LOGGER.log(Level.WARNING, "Failed to remove GC notification listener", e); - } + if (emitters.isEmpty()) { + LOGGER.warning("No GC notification emitters found - pause monitoring may be limited"); + } } - emitters.clear(); - } - - @Override - public void handleNotification(Notification notification, Object handback) { - if (!notification - .getType() - .equals(GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION)) { - return; + + @PreDestroy + public void cleanup() { + for (NotificationEmitter emitter : emitters) { + try { + emitter.removeNotificationListener(this); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to remove GC notification listener", e); + } + } + emitters.clear(); } - try { - CompositeData cd = (CompositeData) notification.getUserData(); - GarbageCollectionNotificationInfo info = GarbageCollectionNotificationInfo.from(cd); - String gcName = info.getGcName(); + @Override + public void handleNotification(Notification notification, Object handback) { + if (!notification.getType().equals(GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION)) { + return; + } - if ("GPGC".equals(gcName) || (gcName.contains("Cycles") && !gcName.contains("Pauses"))) { - return; - } + try { + CompositeData cd = (CompositeData) notification.getUserData(); + GarbageCollectionNotificationInfo info = GarbageCollectionNotificationInfo.from(cd); + String gcName = info.getGcName(); - GcInfo gcInfo = info.getGcInfo(); - long pauseMs = gcInfo.getDuration(); + if ("GPGC".equals(gcName) || (gcName.contains("Cycles") && !gcName.contains("Pauses"))) { + return; + } - recordPause(pauseMs, gcName, info.getGcAction()); + GcInfo gcInfo = info.getGcInfo(); + long pauseMs = gcInfo.getDuration(); - } catch (Exception e) { - LOGGER.log(Level.WARNING, "Error processing GC notification", e); - } - } + recordPause(pauseMs, gcName, info.getGcAction()); - private void recordPause(long pauseMs, String gcName, String gcAction) { - pauseHistory.addLast(pauseMs); - if (pauseHistory.size() > MAX_PAUSE_HISTORY) { - pauseHistory.removeFirst(); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Error processing GC notification", e); + } } - totalPauseCount.incrementAndGet(); - totalPauseTimeMs.addAndGet(pauseMs); + private void recordPause(long pauseMs, String gcName, String gcAction) { + pauseHistory.addLast(pauseMs); + if (pauseHistory.size() > MAX_PAUSE_HISTORY) { + pauseHistory.removeFirst(); + } + + totalPauseCount.incrementAndGet(); + totalPauseTimeMs.addAndGet(pauseMs); - if (pauseMs > maxPauseMs) { - synchronized (this) { if (pauseMs > maxPauseMs) { - maxPauseMs = pauseMs; + synchronized (this) { + if (pauseMs > maxPauseMs) { + maxPauseMs = pauseMs; + } + } } - } - } - if (pauseMs > 100) { - violationsOver100ms.incrementAndGet(); - violationsOver50ms.incrementAndGet(); - violationsOver10ms.incrementAndGet(); - } else if (pauseMs > 50) { - violationsOver50ms.incrementAndGet(); - violationsOver10ms.incrementAndGet(); - } else if (pauseMs > 10) { - violationsOver10ms.incrementAndGet(); + if (pauseMs > 100) { + violationsOver100ms.incrementAndGet(); + violationsOver50ms.incrementAndGet(); + violationsOver10ms.incrementAndGet(); + } else if (pauseMs > 50) { + violationsOver50ms.incrementAndGet(); + violationsOver10ms.incrementAndGet(); + } else if (pauseMs > 10) { + violationsOver10ms.incrementAndGet(); + } + + if (pauseMs > 100) { + LOGGER.warning(String.format("Large GC pause detected: %d ms [%s - %s]", pauseMs, gcName, gcAction)); + } else if (pauseMs > 50) { + LOGGER.info(String.format("Notable GC pause: %d ms [%s - %s]", pauseMs, gcName, gcAction)); + } } - if (pauseMs > 100) { - LOGGER.warning( - String.format("Large GC pause detected: %d ms [%s - %s]", pauseMs, gcName, gcAction)); - } else if (pauseMs > 50) { - LOGGER.info(String.format("Notable GC pause: %d ms [%s - %s]", pauseMs, gcName, gcAction)); + public GCPauseStats getStats() { + List pauses = new ArrayList<>(pauseHistory); + + if (pauses.isEmpty()) { + return new GCPauseStats(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0); + } + + Collections.sort(pauses); + + long p50 = percentile(pauses, 0.50); + long p95 = percentile(pauses, 0.95); + long p99 = percentile(pauses, 0.99); + long p999 = percentile(pauses, 0.999); + long max = pauses.get(pauses.size() - 1); + + long count = totalPauseCount.get(); + long totalTime = totalPauseTimeMs.get(); + double avgPause = count > 0 ? (double) totalTime / count : 0; + + return new GCPauseStats(count, totalTime, avgPause, p50, p95, p99, p999, maxPauseMs, // All-time max + violationsOver10ms.get(), violationsOver50ms.get(), violationsOver100ms.get(), pauses.size() // Sample size for percentiles + ); } - } - public GCPauseStats getStats() { - List pauses = new ArrayList<>(pauseHistory); + private long percentile(List sortedValues, double percentile) { + int index = (int) Math.ceil(percentile * sortedValues.size()) - 1; + index = Math.max(0, Math.min(index, sortedValues.size() - 1)); + return sortedValues.get(index); + } - if (pauses.isEmpty()) { - return new GCPauseStats(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0); + public void reset() { + pauseHistory.clear(); + totalPauseCount.set(0); + totalPauseTimeMs.set(0); + maxPauseMs = 0; + violationsOver10ms.set(0); + violationsOver50ms.set(0); + violationsOver100ms.set(0); + LOGGER.info("GC pause statistics reset"); } - Collections.sort(pauses); - - long p50 = percentile(pauses, 0.50); - long p95 = percentile(pauses, 0.95); - long p99 = percentile(pauses, 0.99); - long p999 = percentile(pauses, 0.999); - long max = pauses.get(pauses.size() - 1); - - long count = totalPauseCount.get(); - long totalTime = totalPauseTimeMs.get(); - double avgPause = count > 0 ? (double) totalTime / count : 0; - - return new GCPauseStats( - count, - totalTime, - avgPause, - p50, - p95, - p99, - p999, - maxPauseMs, // All-time max - violationsOver10ms.get(), - violationsOver50ms.get(), - violationsOver100ms.get(), - pauses.size() // Sample size for percentiles - ); - } - - private long percentile(List sortedValues, double percentile) { - int index = (int) Math.ceil(percentile * sortedValues.size()) - 1; - index = Math.max(0, Math.min(index, sortedValues.size() - 1)); - return sortedValues.get(index); - } - - public void reset() { - pauseHistory.clear(); - totalPauseCount.set(0); - totalPauseTimeMs.set(0); - maxPauseMs = 0; - violationsOver10ms.set(0); - violationsOver50ms.set(0); - violationsOver100ms.set(0); - LOGGER.info("GC pause statistics reset"); - } - - public static class GCPauseStats { - public final long totalPauseCount; - public final long totalPauseTimeMs; - public final double avgPauseMs; - public final long p50Ms; - public final long p95Ms; - public final long p99Ms; - public final long p999Ms; - public final long maxMs; - public final long violationsOver10ms; - public final long violationsOver50ms; - public final long violationsOver100ms; - public final int sampleSize; - - public GCPauseStats( - long totalPauseCount, - long totalPauseTimeMs, - double avgPauseMs, - long p50Ms, - long p95Ms, - long p99Ms, - long p999Ms, - long maxMs, - long violationsOver10ms, - long violationsOver50ms, - long violationsOver100ms, - int sampleSize) { - this.totalPauseCount = totalPauseCount; - this.totalPauseTimeMs = totalPauseTimeMs; - this.avgPauseMs = avgPauseMs; - this.p50Ms = p50Ms; - this.p95Ms = p95Ms; - this.p99Ms = p99Ms; - this.p999Ms = p999Ms; - this.maxMs = maxMs; - this.violationsOver10ms = violationsOver10ms; - this.violationsOver50ms = violationsOver50ms; - this.violationsOver100ms = violationsOver100ms; - this.sampleSize = sampleSize; + public static class GCPauseStats { + public final long totalPauseCount; + public final long totalPauseTimeMs; + public final double avgPauseMs; + public final long p50Ms; + public final long p95Ms; + public final long p99Ms; + public final long p999Ms; + public final long maxMs; + public final long violationsOver10ms; + public final long violationsOver50ms; + public final long violationsOver100ms; + public final int sampleSize; + + public GCPauseStats(long totalPauseCount, long totalPauseTimeMs, double avgPauseMs, long p50Ms, long p95Ms, long p99Ms, long p999Ms, long maxMs, + long violationsOver10ms, long violationsOver50ms, long violationsOver100ms, int sampleSize) { + this.totalPauseCount = totalPauseCount; + this.totalPauseTimeMs = totalPauseTimeMs; + this.avgPauseMs = avgPauseMs; + this.p50Ms = p50Ms; + this.p95Ms = p95Ms; + this.p99Ms = p99Ms; + this.p999Ms = p999Ms; + this.maxMs = maxMs; + this.violationsOver10ms = violationsOver10ms; + this.violationsOver50ms = violationsOver50ms; + this.violationsOver100ms = violationsOver100ms; + this.sampleSize = sampleSize; + } } - } } diff --git a/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java b/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java index 09518d2..e7767cc 100644 --- a/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java +++ b/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java @@ -8,87 +8,77 @@ @ApplicationScoped public class SLAMonitorService { - private static final Logger LOGGER = Logger.getLogger(SLAMonitorService.class.getName()); + private static final Logger LOGGER = Logger.getLogger(SLAMonitorService.class.getName()); - private static final long SLA_10MS = 10; - private static final long SLA_50MS = 50; - private static final long SLA_100MS = 100; + private static final long SLA_10MS = 10; + private static final long SLA_50MS = 50; + private static final long SLA_100MS = 100; - private final AtomicLong violationsOver10ms = new AtomicLong(0); - private final AtomicLong violationsOver50ms = new AtomicLong(0); - private final AtomicLong violationsOver100ms = new AtomicLong(0); - private final AtomicLong totalOperations = new AtomicLong(0); + private final AtomicLong violationsOver10ms = new AtomicLong(0); + private final AtomicLong violationsOver50ms = new AtomicLong(0); + private final AtomicLong violationsOver100ms = new AtomicLong(0); + private final AtomicLong totalOperations = new AtomicLong(0); - private final ConcurrentHashMap violationsByMinute = new ConcurrentHashMap<>(); + private final ConcurrentHashMap violationsByMinute = new ConcurrentHashMap<>(); - public void recordOperation(long latencyMs) { - totalOperations.incrementAndGet(); + public void recordOperation(long latencyMs) { + totalOperations.incrementAndGet(); - if (latencyMs > SLA_100MS) { - violationsOver100ms.incrementAndGet(); - violationsOver50ms.incrementAndGet(); - violationsOver10ms.incrementAndGet(); - recordViolation(); - } else if (latencyMs > SLA_50MS) { - violationsOver50ms.incrementAndGet(); - violationsOver10ms.incrementAndGet(); - recordViolation(); - } else if (latencyMs > SLA_10MS) { - violationsOver10ms.incrementAndGet(); - recordViolation(); + if (latencyMs > SLA_100MS) { + violationsOver100ms.incrementAndGet(); + violationsOver50ms.incrementAndGet(); + violationsOver10ms.incrementAndGet(); + recordViolation(); + } else if (latencyMs > SLA_50MS) { + violationsOver50ms.incrementAndGet(); + violationsOver10ms.incrementAndGet(); + recordViolation(); + } else if (latencyMs > SLA_10MS) { + violationsOver10ms.incrementAndGet(); + recordViolation(); + } } - } - private void recordViolation() { - long currentMinute = System.currentTimeMillis() / 60000; - violationsByMinute.merge(currentMinute, 1L, Long::sum); + private void recordViolation() { + long currentMinute = System.currentTimeMillis() / 60000; + violationsByMinute.merge(currentMinute, 1L, Long::sum); - long fiveMinutesAgo = currentMinute - 5; - violationsByMinute.keySet().removeIf(minute -> minute < fiveMinutesAgo); - } + long fiveMinutesAgo = currentMinute - 5; + violationsByMinute.keySet().removeIf(minute -> minute < fiveMinutesAgo); + } - public SLAStats getStats() { - long total = totalOperations.get(); + public SLAStats getStats() { + long total = totalOperations.get(); - return new SLAStats( - total, - violationsOver10ms.get(), - violationsOver50ms.get(), - violationsOver100ms.get(), - total > 0 ? (double) violationsOver10ms.get() / total * 100 : 0, - violationsByMinute.values().stream().mapToLong(Long::longValue).sum()); - } + return new SLAStats(total, violationsOver10ms.get(), violationsOver50ms.get(), violationsOver100ms.get(), + total > 0 ? (double) violationsOver10ms.get() / total * 100 : 0, violationsByMinute.values().stream().mapToLong(Long::longValue).sum()); + } - public void reset() { - violationsOver10ms.set(0); - violationsOver50ms.set(0); - violationsOver100ms.set(0); - totalOperations.set(0); - violationsByMinute.clear(); - LOGGER.info("SLA statistics reset"); - } + public void reset() { + violationsOver10ms.set(0); + violationsOver50ms.set(0); + violationsOver100ms.set(0); + totalOperations.set(0); + violationsByMinute.clear(); + LOGGER.info("SLA statistics reset"); + } - public static class SLAStats { - public final long totalOperations; - public final long violationsOver10ms; - public final long violationsOver50ms; - public final long violationsOver100ms; - public final double violationRate; - public final long recentViolations; // Last 5 minutes + public static class SLAStats { + public final long totalOperations; + public final long violationsOver10ms; + public final long violationsOver50ms; + public final long violationsOver100ms; + public final double violationRate; + public final long recentViolations; // Last 5 minutes - public SLAStats( - long totalOperations, - long violationsOver10ms, - long violationsOver50ms, - long violationsOver100ms, - double violationRate, - long recentViolations) { - this.totalOperations = totalOperations; - this.violationsOver10ms = violationsOver10ms; - this.violationsOver50ms = violationsOver50ms; - this.violationsOver100ms = violationsOver100ms; - this.violationRate = violationRate; - this.recentViolations = recentViolations; + public SLAStats(long totalOperations, long violationsOver10ms, long violationsOver50ms, long violationsOver100ms, double violationRate, + long recentViolations) { + this.totalOperations = totalOperations; + this.violationsOver10ms = violationsOver10ms; + this.violationsOver50ms = violationsOver50ms; + this.violationsOver100ms = violationsOver100ms; + this.violationRate = violationRate; + this.recentViolations = recentViolations; + } } - } } diff --git a/src/main/java/fish/payara/trader/pressure/AllocationMode.java b/src/main/java/fish/payara/trader/pressure/AllocationMode.java index a9eb0e0..62f4a7c 100644 --- a/src/main/java/fish/payara/trader/pressure/AllocationMode.java +++ b/src/main/java/fish/payara/trader/pressure/AllocationMode.java @@ -1,79 +1,64 @@ package fish.payara.trader.pressure; public enum AllocationMode { - OFF(0, 0, 0, ScenarioType.NONE, "No allocation"), + OFF(0, 0, 0, ScenarioType.NONE, "No allocation"), - STEADY_LOAD( - 200, // MB/sec allocation rate - 512, // MB live set size - 0, // No growth - ScenarioType.STEADY, - "Steady 200 MB/sec allocation, 512 MB live set - Tests baseline GC behavior"), + STEADY_LOAD(200, // MB/sec allocation rate + 512, // MB live set size + 0, // No growth + ScenarioType.STEADY, "Steady 200 MB/sec allocation, 512 MB live set - Tests baseline GC behavior"), - GROWING_HEAP( - 150, // MB/sec allocation rate - 2048, // MB target live set - 60, // seconds to reach target - ScenarioType.GROWING, - "Growing live set 100 MB -> 2 GB over 60s - Tests mixed collection scaling"), + GROWING_HEAP(150, // MB/sec allocation rate + 2048, // MB target live set + 60, // seconds to reach target + ScenarioType.GROWING, "Growing live set 100 MB -> 2 GB over 60s - Tests mixed collection scaling"), - PROMOTION_STORM( - 300, // MB/sec allocation rate - 1024, // MB live set - 0, // No growth - ScenarioType.PROMOTION, - "High promotion rate (50% survival) - Tests old gen collection efficiency"), + PROMOTION_STORM(300, // MB/sec allocation rate + 1024, // MB live set + 0, // No growth + ScenarioType.PROMOTION, "High promotion rate (50% survival) - Tests old gen collection efficiency"), - FRAGMENTATION( - 200, // MB/sec allocation rate - 1024, // MB live set - 0, // No growth - ScenarioType.FRAGMENTATION, - "Small objects, random lifetimes - Tests compaction behavior"), + FRAGMENTATION(200, // MB/sec allocation rate + 1024, // MB live set + 0, // No growth + ScenarioType.FRAGMENTATION, "Small objects, random lifetimes - Tests compaction behavior"), - CROSS_GEN_REFS( - 150, // MB/sec allocation rate - 800, // MB live set in old gen - 0, // No growth - ScenarioType.CROSS_REF, - "Many old->young references - Tests remembered set overhead"); + CROSS_GEN_REFS(150, // MB/sec allocation rate + 800, // MB live set in old gen + 0, // No growth + ScenarioType.CROSS_REF, "Many old->young references - Tests remembered set overhead"); - private final int allocationRateMBPerSec; - private final int liveSetSizeMB; - private final int growthDurationSeconds; - private final ScenarioType scenarioType; - private final String description; + private final int allocationRateMBPerSec; + private final int liveSetSizeMB; + private final int growthDurationSeconds; + private final ScenarioType scenarioType; + private final String description; - AllocationMode( - int allocationRateMBPerSec, - int liveSetSizeMB, - int growthDurationSeconds, - ScenarioType scenarioType, - String description) { - this.allocationRateMBPerSec = allocationRateMBPerSec; - this.liveSetSizeMB = liveSetSizeMB; - this.growthDurationSeconds = growthDurationSeconds; - this.scenarioType = scenarioType; - this.description = description; - } + AllocationMode(int allocationRateMBPerSec, int liveSetSizeMB, int growthDurationSeconds, ScenarioType scenarioType, String description) { + this.allocationRateMBPerSec = allocationRateMBPerSec; + this.liveSetSizeMB = liveSetSizeMB; + this.growthDurationSeconds = growthDurationSeconds; + this.scenarioType = scenarioType; + this.description = description; + } - public int getAllocationRateMBPerSec() { - return allocationRateMBPerSec; - } + public int getAllocationRateMBPerSec() { + return allocationRateMBPerSec; + } - public int getLiveSetSizeMB() { - return liveSetSizeMB; - } + public int getLiveSetSizeMB() { + return liveSetSizeMB; + } - public int getGrowthDurationSeconds() { - return growthDurationSeconds; - } + public int getGrowthDurationSeconds() { + return growthDurationSeconds; + } - public ScenarioType getScenarioType() { - return scenarioType; - } + public ScenarioType getScenarioType() { + return scenarioType; + } - public String getDescription() { - return description; - } + public String getDescription() { + return description; + } } diff --git a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java index dad90e6..5b27c10 100644 --- a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java +++ b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java @@ -16,431 +16,413 @@ import java.util.logging.Logger; /** - * Service to generate controlled memory pressure for GC stress testing. Updated to use - * scenario-based testing targeting G1 vs C4 differences. + * Service to generate controlled memory pressure for GC stress testing. Updated to use scenario-based testing targeting G1 vs C4 differences. */ @ApplicationScoped public class MemoryPressureService { - private static final Logger LOGGER = Logger.getLogger(MemoryPressureService.class.getName()); + private static final Logger LOGGER = Logger.getLogger(MemoryPressureService.class.getName()); - private volatile AllocationMode currentMode = AllocationMode.OFF; - private volatile boolean running = false; - private Future pressureTask; + private volatile AllocationMode currentMode = AllocationMode.OFF; + private volatile boolean running = false; + private Future pressureTask; - private final AtomicLong totalBytesAllocated = new AtomicLong(0); - private long lastStatsTime = System.currentTimeMillis(); + private final AtomicLong totalBytesAllocated = new AtomicLong(0); + private long lastStatsTime = System.currentTimeMillis(); - // Live set management - private final Deque liveSet = new LinkedList<>(); - private final AtomicLong liveSetBytesAllocated = new AtomicLong(0); + // Live set management + private final Deque liveSet = new LinkedList<>(); + private final AtomicLong liveSetBytesAllocated = new AtomicLong(0); - // For Promotion Storm (thread-safe as multiple threads add to it) - private final Deque promotableObjects = new ConcurrentLinkedDeque<>(); + // For Promotion Storm (thread-safe as multiple threads add to it) + private final Deque promotableObjects = new ConcurrentLinkedDeque<>(); - // For Cross-Gen Refs scenario - holders in old gen that reference young objects - private final Deque crossRefHolders = new LinkedList<>(); - private final AtomicLong crossRefBytesAllocated = new AtomicLong(0); + // For Cross-Gen Refs scenario - holders in old gen that reference young objects + private final Deque crossRefHolders = new LinkedList<>(); + private final AtomicLong crossRefBytesAllocated = new AtomicLong(0); - // Scenario state - private final AtomicLong scenarioStartTime = new AtomicLong(0); + // Scenario state + private final AtomicLong scenarioStartTime = new AtomicLong(0); - /** - * Holder object that lives in old generation and holds a reference to a young object. Every - * update to youngRef triggers G1's write barrier and remembered set maintenance. - */ - private static class RefHolder { - volatile Object youngRef; // Reference to young gen object - updated frequently - final byte[] padding; // Padding to make holder substantial (~1MB each) + /** + * Holder object that lives in old generation and holds a reference to a young object. Every update to youngRef triggers G1's write barrier and remembered + * set maintenance. + */ + private static class RefHolder { + volatile Object youngRef; // Reference to young gen object - updated frequently + final byte[] padding; // Padding to make holder substantial (~1MB each) - RefHolder(int paddingSize) { - this.padding = new byte[paddingSize]; - ThreadLocalRandom.current().nextBytes(this.padding); + RefHolder(int paddingSize) { + this.padding = new byte[paddingSize]; + ThreadLocalRandom.current().nextBytes(this.padding); + } } - } - @Inject @VirtualThreadExecutor private ManagedExecutorService executorService; + @Inject + @VirtualThreadExecutor + private ManagedExecutorService executorService; - @PostConstruct - public void init() { - LOGGER.info("MemoryPressureService initialized"); - } - - public synchronized void setAllocationMode(AllocationMode mode) { - if (mode == currentMode) { - return; + @PostConstruct + public void init() { + LOGGER.info("MemoryPressureService initialized"); } - LOGGER.info("Changing allocation mode from " + currentMode + " to " + mode); - currentMode = mode; - - if (mode == AllocationMode.OFF) { - stopPressure(); - } else { - // clear previous state - liveSet.clear(); - liveSetBytesAllocated.set(0); - promotableObjects.clear(); - crossRefHolders.clear(); - crossRefBytesAllocated.set(0); - scenarioStartTime.set(System.currentTimeMillis()); - - startPressure(); + public synchronized void setAllocationMode(AllocationMode mode) { + if (mode == currentMode) { + return; + } + + LOGGER.info("Changing allocation mode from " + currentMode + " to " + mode); + currentMode = mode; + + if (mode == AllocationMode.OFF) { + stopPressure(); + } else { + // clear previous state + liveSet.clear(); + liveSetBytesAllocated.set(0); + promotableObjects.clear(); + crossRefHolders.clear(); + crossRefBytesAllocated.set(0); + scenarioStartTime.set(System.currentTimeMillis()); + + startPressure(); + } } - } - private synchronized void startPressure() { - if (running) { - return; - } + private synchronized void startPressure() { + if (running) { + return; + } - running = true; - totalBytesAllocated.set(0); - lastStatsTime = System.currentTimeMillis(); + running = true; + totalBytesAllocated.set(0); + lastStatsTime = System.currentTimeMillis(); - pressureTask = - executorService.submit( - () -> { - LOGGER.info("Memory pressure generator started with mode: " + currentMode); + pressureTask = executorService.submit(() -> { + LOGGER.info("Memory pressure generator started with mode: " + currentMode); - while (running) { + while (running) { try { - long loopStartTime = System.currentTimeMillis(); - AllocationMode mode = currentMode; - if (mode == AllocationMode.OFF) { - break; - } + long loopStartTime = System.currentTimeMillis(); + AllocationMode mode = currentMode; + if (mode == AllocationMode.OFF) { + break; + } - generateGarbage(mode); + generateGarbage(mode); - long executionTime = System.currentTimeMillis() - loopStartTime; - // Target 10 iterations per second (100ms per iteration) - long sleepTime = 100 - executionTime; + long executionTime = System.currentTimeMillis() - loopStartTime; + // Target 10 iterations per second (100ms per iteration) + long sleepTime = 100 - executionTime; - if (sleepTime > 0) { - Thread.sleep(sleepTime); - } + if (sleepTime > 0) { + Thread.sleep(sleepTime); + } - logStats(); + logStats(); } catch (InterruptedException e) { - Thread.currentThread().interrupt(); - break; + Thread.currentThread().interrupt(); + break; } catch (Exception e) { - LOGGER.warning("Error in memory pressure generator: " + e.getMessage()); + LOGGER.warning("Error in memory pressure generator: " + e.getMessage()); } - } - - LOGGER.info("Memory pressure generator stopped"); - // Cleanup - liveSet.clear(); - liveSetBytesAllocated.set(0); - promotableObjects.clear(); - crossRefHolders.clear(); - crossRefBytesAllocated.set(0); - }); - } - - private synchronized void stopPressure() { - running = false; - if (pressureTask != null && !pressureTask.isDone()) { - pressureTask.cancel(true); - pressureTask = null; + } + + LOGGER.info("Memory pressure generator stopped"); + // Cleanup + liveSet.clear(); + liveSetBytesAllocated.set(0); + promotableObjects.clear(); + crossRefHolders.clear(); + crossRefBytesAllocated.set(0); + }); } - } - - private void generateGarbage(AllocationMode mode) { - switch (mode.getScenarioType()) { - case STEADY: - executeSteadyLoadScenario(mode); - break; - case GROWING: - executeGrowingHeapScenario(mode); - break; - case PROMOTION: - executePromotionStormScenario(mode); - break; - case FRAGMENTATION: - executeFragmentationScenario(mode); - break; - case CROSS_REF: - executeCrossRefsScenario(mode); - break; - default: - // Do nothing for NONE - break; + + private synchronized void stopPressure() { + running = false; + if (pressureTask != null && !pressureTask.isDone()) { + pressureTask.cancel(true); + pressureTask = null; + } + } + + private void generateGarbage(AllocationMode mode) { + switch (mode.getScenarioType()) { + case STEADY : + executeSteadyLoadScenario(mode); + break; + case GROWING : + executeGrowingHeapScenario(mode); + break; + case PROMOTION : + executePromotionStormScenario(mode); + break; + case FRAGMENTATION : + executeFragmentationScenario(mode); + break; + case CROSS_REF : + executeCrossRefsScenario(mode); + break; + default : + // Do nothing for NONE + break; + } + } + + private void executeSteadyLoadScenario(AllocationMode mode) { + int targetMB = mode.getLiveSetSizeMB(); + int rateMBPerSec = mode.getAllocationRateMBPerSec(); + + // Maintain stable live set (single-threaded) + maintainLiveSet(targetMB); + + // Allocate transient garbage at specified rate across 4 threads + // (100ms iteration = 10 iterations/sec) + int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; + + allocateTransientGarbageMultiThreaded(bytesPerIteration, 4); } - } - - private void executeSteadyLoadScenario(AllocationMode mode) { - int targetMB = mode.getLiveSetSizeMB(); - int rateMBPerSec = mode.getAllocationRateMBPerSec(); - - // Maintain stable live set (single-threaded) - maintainLiveSet(targetMB); - - // Allocate transient garbage at specified rate across 4 threads - // (100ms iteration = 10 iterations/sec) - int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; - - allocateTransientGarbageMultiThreaded(bytesPerIteration, 4); - } - - private void executeGrowingHeapScenario(AllocationMode mode) { - long startTime = scenarioStartTime.get(); - long elapsed = (System.currentTimeMillis() - startTime) / 1000; // seconds - - int startMB = 100; - int targetMB = mode.getLiveSetSizeMB(); - int duration = mode.getGrowthDurationSeconds(); - - // Calculate current target based on linear growth - int currentTargetMB = - elapsed >= duration - ? targetMB - : startMB + (int) ((targetMB - startMB) * elapsed / duration); - - maintainLiveSet(currentTargetMB); - - // Allocate transient garbage - int rateMBPerSec = mode.getAllocationRateMBPerSec(); - int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; - allocateTransientGarbageMultiThreaded(bytesPerIteration, 4); - } - - private void executePromotionStormScenario(AllocationMode mode) { - int rateMBPerSec = mode.getAllocationRateMBPerSec(); - int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; - - // 50% of allocations should survive to old generation - // Allocate half as transient, half as medium-lived - int transientBytes = bytesPerIteration / 2; - int promotableBytes = bytesPerIteration / 2; - - // Multi-threaded allocation for both transient and promotable - allocateTransientGarbageMultiThreaded(transientBytes, 4); - allocatePromotableGarbageMultiThreaded(promotableBytes, 4); - - // Move from thread-safe queue to local live set management - byte[] promoted; - while ((promoted = promotableObjects.poll()) != null) { - liveSet.add(promoted); - liveSetBytesAllocated.addAndGet(promoted.length); + + private void executeGrowingHeapScenario(AllocationMode mode) { + long startTime = scenarioStartTime.get(); + long elapsed = (System.currentTimeMillis() - startTime) / 1000; // seconds + + int startMB = 100; + int targetMB = mode.getLiveSetSizeMB(); + int duration = mode.getGrowthDurationSeconds(); + + // Calculate current target based on linear growth + int currentTargetMB = elapsed >= duration ? targetMB : startMB + (int) ((targetMB - startMB) * elapsed / duration); + + maintainLiveSet(currentTargetMB); + + // Allocate transient garbage + int rateMBPerSec = mode.getAllocationRateMBPerSec(); + int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; + allocateTransientGarbageMultiThreaded(bytesPerIteration, 4); } - // Now trim live set if needed (remove oldest) - long targetBytes = mode.getLiveSetSizeMB() * 1024L * 1024L; - while (liveSetBytesAllocated.get() > targetBytes && !liveSet.isEmpty()) { - byte[] removed = liveSet.removeFirst(); - liveSetBytesAllocated.addAndGet(-removed.length); + private void executePromotionStormScenario(AllocationMode mode) { + int rateMBPerSec = mode.getAllocationRateMBPerSec(); + int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; + + // 50% of allocations should survive to old generation + // Allocate half as transient, half as medium-lived + int transientBytes = bytesPerIteration / 2; + int promotableBytes = bytesPerIteration / 2; + + // Multi-threaded allocation for both transient and promotable + allocateTransientGarbageMultiThreaded(transientBytes, 4); + allocatePromotableGarbageMultiThreaded(promotableBytes, 4); + + // Move from thread-safe queue to local live set management + byte[] promoted; + while ((promoted = promotableObjects.poll()) != null) { + liveSet.add(promoted); + liveSetBytesAllocated.addAndGet(promoted.length); + } + + // Now trim live set if needed (remove oldest) + long targetBytes = mode.getLiveSetSizeMB() * 1024L * 1024L; + while (liveSetBytesAllocated.get() > targetBytes && !liveSet.isEmpty()) { + byte[] removed = liveSet.removeFirst(); + liveSetBytesAllocated.addAndGet(-removed.length); + } } - } - - private void executeFragmentationScenario(AllocationMode mode) { - int targetMB = mode.getLiveSetSizeMB(); - maintainLiveSet(targetMB); - - int rateMBPerSec = mode.getAllocationRateMBPerSec(); - int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; - - allocateFragmentationGarbageMultiThreaded(bytesPerIteration, 4); - } - - private void executeCrossRefsScenario(AllocationMode mode) { - // Maintain old gen holders (these will be promoted after surviving GCs) - maintainCrossRefHolders(mode.getLiveSetSizeMB()); - - int rateMBPerSec = mode.getAllocationRateMBPerSec(); - int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; - - // Create young objects and link them from old gen holders - // This triggers G1's write barriers and remembered set updates - createCrossGenerationalRefsMultiThreaded(bytesPerIteration, 4); - } - - /** - * Maintain RefHolder objects that will live in old generation. Each holder has ~1MB padding and a - * reference slot for young objects. - */ - private void maintainCrossRefHolders(int targetMB) { - long targetBytes = targetMB * 1024L * 1024L; - long currentBytes = crossRefBytesAllocated.get(); - - // Add holders if below target - while (currentBytes < targetBytes) { - RefHolder holder = new RefHolder(1024 * 1024); // ~1MB each - crossRefHolders.add(holder); - currentBytes += 1024 * 1024; - crossRefBytesAllocated.set(currentBytes); + + private void executeFragmentationScenario(AllocationMode mode) { + int targetMB = mode.getLiveSetSizeMB(); + maintainLiveSet(targetMB); + + int rateMBPerSec = mode.getAllocationRateMBPerSec(); + int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; + + allocateFragmentationGarbageMultiThreaded(bytesPerIteration, 4); } - // Remove holders if above target - while (currentBytes > targetBytes && !crossRefHolders.isEmpty()) { - crossRefHolders.removeFirst(); - currentBytes -= 1024 * 1024; - crossRefBytesAllocated.set(currentBytes); + private void executeCrossRefsScenario(AllocationMode mode) { + // Maintain old gen holders (these will be promoted after surviving GCs) + maintainCrossRefHolders(mode.getLiveSetSizeMB()); + + int rateMBPerSec = mode.getAllocationRateMBPerSec(); + int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; + + // Create young objects and link them from old gen holders + // This triggers G1's write barriers and remembered set updates + createCrossGenerationalRefsMultiThreaded(bytesPerIteration, 4); } - } - - /** - * Create young objects and update old→young references. Each reference update triggers G1's write - * barrier, which marks the card table and adds to remembered sets. This is the overhead we're - * testing - C4 has no remembered sets. - */ - private void createCrossGenerationalRefsMultiThreaded(int totalBytes, int numThreads) { - if (crossRefHolders.isEmpty()) { - return; + + /** + * Maintain RefHolder objects that will live in old generation. Each holder has ~1MB padding and a reference slot for young objects. + */ + private void maintainCrossRefHolders(int targetMB) { + long targetBytes = targetMB * 1024L * 1024L; + long currentBytes = crossRefBytesAllocated.get(); + + // Add holders if below target + while (currentBytes < targetBytes) { + RefHolder holder = new RefHolder(1024 * 1024); // ~1MB each + crossRefHolders.add(holder); + currentBytes += 1024 * 1024; + crossRefBytesAllocated.set(currentBytes); + } + + // Remove holders if above target + while (currentBytes > targetBytes && !crossRefHolders.isEmpty()) { + crossRefHolders.removeFirst(); + currentBytes -= 1024 * 1024; + crossRefBytesAllocated.set(currentBytes); + } } - int bytesPerThread = totalBytes / numThreads; - CompletableFuture[] futures = new CompletableFuture[numThreads]; + /** + * Create young objects and update old→young references. Each reference update triggers G1's write barrier, which marks the card table and adds to + * remembered sets. This is the overhead we're testing - C4 has no remembered sets. + */ + private void createCrossGenerationalRefsMultiThreaded(int totalBytes, int numThreads) { + if (crossRefHolders.isEmpty()) { + return; + } - // Convert to array for random access from multiple threads - RefHolder[] holders = crossRefHolders.toArray(new RefHolder[0]); + int bytesPerThread = totalBytes / numThreads; + CompletableFuture[] futures = new CompletableFuture[numThreads]; - for (int t = 0; t < numThreads; t++) { - futures[t] = - CompletableFuture.runAsync( - () -> { + // Convert to array for random access from multiple threads + RefHolder[] holders = crossRefHolders.toArray(new RefHolder[0]); + + for (int t = 0; t < numThreads; t++) { + futures[t] = CompletableFuture.runAsync(() -> { int remaining = bytesPerThread; while (remaining > 0) { - // Create young object (1-4KB each for variety) - int size = ThreadLocalRandom.current().nextInt(1024, 4097); - if (size > remaining) size = remaining; - byte[] youngObj = new byte[size]; - ThreadLocalRandom.current().nextBytes(youngObj); - - // Update random old gen holder to point to this young object - // This write triggers G1's post-write barrier: - // 1. Marks card table entry as dirty - // 2. Adds to remembered set for later scanning - int idx = ThreadLocalRandom.current().nextInt(holders.length); - holders[idx].youngRef = youngObj; - - remaining -= size; + // Create young object (1-4KB each for variety) + int size = ThreadLocalRandom.current().nextInt(1024, 4097); + if (size > remaining) + size = remaining; + byte[] youngObj = new byte[size]; + ThreadLocalRandom.current().nextBytes(youngObj); + + // Update random old gen holder to point to this young object + // This write triggers G1's post-write barrier: + // 1. Marks card table entry as dirty + // 2. Adds to remembered set for later scanning + int idx = ThreadLocalRandom.current().nextInt(holders.length); + holders[idx].youngRef = youngObj; + + remaining -= size; } totalBytesAllocated.addAndGet(bytesPerThread); - }, - executorService); - } + }, executorService); + } - CompletableFuture.allOf(futures).join(); - } + CompletableFuture.allOf(futures).join(); + } - private void allocateTransientGarbageMultiThreaded(int totalBytes, int numThreads) { - int bytesPerThread = totalBytes / numThreads; - CompletableFuture[] futures = new CompletableFuture[numThreads]; + private void allocateTransientGarbageMultiThreaded(int totalBytes, int numThreads) { + int bytesPerThread = totalBytes / numThreads; + CompletableFuture[] futures = new CompletableFuture[numThreads]; - for (int t = 0; t < numThreads; t++) { - futures[t] = - CompletableFuture.runAsync( - () -> { + for (int t = 0; t < numThreads; t++) { + futures[t] = CompletableFuture.runAsync(() -> { // Each thread allocates its share byte[] garbage = new byte[bytesPerThread]; ThreadLocalRandom.current().nextBytes(garbage); // Object is now eligible for GC totalBytesAllocated.addAndGet(bytesPerThread); - }, - executorService); - } + }, executorService); + } - // Wait for all threads to complete - CompletableFuture.allOf(futures).join(); - } + // Wait for all threads to complete + CompletableFuture.allOf(futures).join(); + } - private void allocatePromotableGarbageMultiThreaded(int totalBytes, int numThreads) { - int bytesPerThread = totalBytes / numThreads; - CompletableFuture[] futures = new CompletableFuture[numThreads]; + private void allocatePromotableGarbageMultiThreaded(int totalBytes, int numThreads) { + int bytesPerThread = totalBytes / numThreads; + CompletableFuture[] futures = new CompletableFuture[numThreads]; - for (int t = 0; t < numThreads; t++) { - futures[t] = - CompletableFuture.runAsync( - () -> { + for (int t = 0; t < numThreads; t++) { + futures[t] = CompletableFuture.runAsync(() -> { // Create objects that live long enough to be promoted byte[] obj = new byte[bytesPerThread]; ThreadLocalRandom.current().nextBytes(obj); promotableObjects.add(obj); totalBytesAllocated.addAndGet(bytesPerThread); - }, - executorService); - } + }, executorService); + } - CompletableFuture.allOf(futures).join(); - } + CompletableFuture.allOf(futures).join(); + } - private void allocateFragmentationGarbageMultiThreaded(int totalBytes, int numThreads) { - int bytesPerThread = totalBytes / numThreads; - CompletableFuture[] futures = new CompletableFuture[numThreads]; + private void allocateFragmentationGarbageMultiThreaded(int totalBytes, int numThreads) { + int bytesPerThread = totalBytes / numThreads; + CompletableFuture[] futures = new CompletableFuture[numThreads]; - for (int t = 0; t < numThreads; t++) { - futures[t] = - CompletableFuture.runAsync( - () -> { + for (int t = 0; t < numThreads; t++) { + futures[t] = CompletableFuture.runAsync(() -> { int remaining = bytesPerThread; while (remaining > 0) { - // Small objects 100-1000 bytes - int size = ThreadLocalRandom.current().nextInt(100, 1001); - if (size > remaining) size = remaining; - byte[] garbage = new byte[size]; - ThreadLocalRandom.current().nextBytes(garbage); - remaining -= size; + // Small objects 100-1000 bytes + int size = ThreadLocalRandom.current().nextInt(100, 1001); + if (size > remaining) + size = remaining; + byte[] garbage = new byte[size]; + ThreadLocalRandom.current().nextBytes(garbage); + remaining -= size; } totalBytesAllocated.addAndGet(bytesPerThread); - }, - executorService); - } - - CompletableFuture.allOf(futures).join(); - } + }, executorService); + } - private void maintainLiveSet(int targetMB) { - long targetBytes = targetMB * 1024L * 1024L; - long currentBytes = liveSetBytesAllocated.get(); - - // Add objects if below target - while (currentBytes < targetBytes) { - byte[] obj = new byte[1024 * 1024]; // 1 MB object - ThreadLocalRandom.current().nextBytes(obj); - liveSet.add(obj); - currentBytes += 1024 * 1024; - liveSetBytesAllocated.set(currentBytes); + CompletableFuture.allOf(futures).join(); } - // Remove objects if above target - while (currentBytes > targetBytes && !liveSet.isEmpty()) { - liveSet.removeFirst(); - currentBytes -= 1024 * 1024; - liveSetBytesAllocated.set(currentBytes); + private void maintainLiveSet(int targetMB) { + long targetBytes = targetMB * 1024L * 1024L; + long currentBytes = liveSetBytesAllocated.get(); + + // Add objects if below target + while (currentBytes < targetBytes) { + byte[] obj = new byte[1024 * 1024]; // 1 MB object + ThreadLocalRandom.current().nextBytes(obj); + liveSet.add(obj); + currentBytes += 1024 * 1024; + liveSetBytesAllocated.set(currentBytes); + } + + // Remove objects if above target + while (currentBytes > targetBytes && !liveSet.isEmpty()) { + liveSet.removeFirst(); + currentBytes -= 1024 * 1024; + liveSetBytesAllocated.set(currentBytes); + } } - } - private void logStats() { - long now = System.currentTimeMillis(); - if (now - lastStatsTime >= 5000) { - double elapsedSeconds = (now - lastStatsTime) / 1000.0; - long allocated = totalBytesAllocated.getAndSet(0); - double mbPerSec = (allocated / (1024.0 * 1024.0)) / elapsedSeconds; + private void logStats() { + long now = System.currentTimeMillis(); + if (now - lastStatsTime >= 5000) { + double elapsedSeconds = (now - lastStatsTime) / 1000.0; + long allocated = totalBytesAllocated.getAndSet(0); + double mbPerSec = (allocated / (1024.0 * 1024.0)) / elapsedSeconds; - LOGGER.info( - String.format( - "Memory Pressure Stats - Mode: %s | Allocated: %.2f MB/sec | Live Set: %d MB", - currentMode, mbPerSec, liveSetBytesAllocated.get() / (1024 * 1024))); + LOGGER.info(String.format("Memory Pressure Stats - Mode: %s | Allocated: %.2f MB/sec | Live Set: %d MB", currentMode, mbPerSec, + liveSetBytesAllocated.get() / (1024 * 1024))); - lastStatsTime = now; + lastStatsTime = now; + } } - } - @PreDestroy - public void shutdown() { - LOGGER.info("Shutting down MemoryPressureService"); - stopPressure(); - } + @PreDestroy + public void shutdown() { + LOGGER.info("Shutting down MemoryPressureService"); + stopPressure(); + } - public AllocationMode getCurrentMode() { - return currentMode; - } + public AllocationMode getCurrentMode() { + return currentMode; + } - public boolean isRunning() { - return running; - } + public boolean isRunning() { + return running; + } } diff --git a/src/main/java/fish/payara/trader/pressure/ScenarioType.java b/src/main/java/fish/payara/trader/pressure/ScenarioType.java index cc62cc2..4bb8969 100644 --- a/src/main/java/fish/payara/trader/pressure/ScenarioType.java +++ b/src/main/java/fish/payara/trader/pressure/ScenarioType.java @@ -1,10 +1,5 @@ package fish.payara.trader.pressure; public enum ScenarioType { - NONE, - STEADY, - GROWING, - PROMOTION, - FRAGMENTATION, - CROSS_REF + NONE, STEADY, GROWING, PROMOTION, FRAGMENTATION, CROSS_REF } diff --git a/src/main/java/fish/payara/trader/rest/ApplicationConfig.java b/src/main/java/fish/payara/trader/rest/ApplicationConfig.java index 22bacc1..d668bd9 100644 --- a/src/main/java/fish/payara/trader/rest/ApplicationConfig.java +++ b/src/main/java/fish/payara/trader/rest/ApplicationConfig.java @@ -4,4 +4,5 @@ import jakarta.ws.rs.core.Application; @ApplicationPath("/api") -public class ApplicationConfig extends Application {} +public class ApplicationConfig extends Application { +} diff --git a/src/main/java/fish/payara/trader/rest/GCStatsResource.java b/src/main/java/fish/payara/trader/rest/GCStatsResource.java index bb19229..7018040 100644 --- a/src/main/java/fish/payara/trader/rest/GCStatsResource.java +++ b/src/main/java/fish/payara/trader/rest/GCStatsResource.java @@ -3,11 +3,17 @@ import fish.payara.trader.aeron.MarketDataPublisher; import fish.payara.trader.gc.GCStats; import fish.payara.trader.gc.GCStatsService; +import fish.payara.trader.monitoring.GCPauseMonitor; +import fish.payara.trader.monitoring.SLAMonitorService; import fish.payara.trader.pressure.MemoryPressureService; import jakarta.inject.Inject; -import jakarta.ws.rs.*; +import jakarta.ws.rs.GET; +import jakarta.ws.rs.POST; +import jakarta.ws.rs.Path; +import jakarta.ws.rs.Produces; import jakarta.ws.rs.core.MediaType; import jakarta.ws.rs.core.Response; + import java.lang.management.GarbageCollectorMXBean; import java.lang.management.ManagementFactory; import java.util.HashMap; @@ -20,116 +26,116 @@ @Path("/gc") public class GCStatsResource { - private static final Logger LOGGER = Logger.getLogger(GCStatsResource.class.getName()); + private static final Logger LOGGER = Logger.getLogger(GCStatsResource.class.getName()); + + @Inject + private GCStatsService gcStatsService; - @Inject private GCStatsService gcStatsService; + @Inject + private MemoryPressureService memoryPressureService; - @Inject private MemoryPressureService memoryPressureService; + @Inject + private MarketDataPublisher publisher; - @Inject private MarketDataPublisher publisher; + @Inject + private SLAMonitorService slaMonitor; - @Inject private fish.payara.trader.monitoring.SLAMonitorService slaMonitor; + @Inject + private GCPauseMonitor gcPauseMonitor; - @Inject private fish.payara.trader.monitoring.GCPauseMonitor gcPauseMonitor; + @GET + @Path("/sla") + @Produces(MediaType.APPLICATION_JSON) + public Response getSLAStats() { + return Response.ok(slaMonitor.getStats()).build(); + } - @GET - @Path("/sla") - @Produces(MediaType.APPLICATION_JSON) - public Response getSLAStats() { - return Response.ok(slaMonitor.getStats()).build(); - } + @POST + @Path("/sla/reset") + public Response resetSLAStats() { + slaMonitor.reset(); + return Response.ok(Map.of("status", "reset")).build(); + } - @POST - @Path("/sla/reset") - public Response resetSLAStats() { - slaMonitor.reset(); - return Response.ok(Map.of("status", "reset")).build(); - } + @GET + @Path("/pauses") + @Produces(MediaType.APPLICATION_JSON) + public Response getGCPauseStats() { + return Response.ok(gcPauseMonitor.getStats()).build(); + } - @GET - @Path("/pauses") - @Produces(MediaType.APPLICATION_JSON) - public Response getGCPauseStats() { - return Response.ok(gcPauseMonitor.getStats()).build(); - } + @POST + @Path("/pauses/reset") + public Response resetGCPauseStats() { + gcPauseMonitor.reset(); + return Response.ok(Map.of("status", "reset")).build(); + } - @POST - @Path("/pauses/reset") - public Response resetGCPauseStats() { - gcPauseMonitor.reset(); - return Response.ok(Map.of("status", "reset")).build(); - } + @GET + @Path("/comparison") + @Produces(MediaType.APPLICATION_JSON) + public Response getComparison() { + Map comparison = new HashMap<>(); + + // Identify which instance is responding + String instanceName = System.getenv("PAYARA_INSTANCE_NAME"); + if (instanceName == null) { + instanceName = "standalone"; + } + comparison.put("instanceName", instanceName); + + String jvmVendor = System.getProperty("java.vm.vendor"); + String jvmName = System.getProperty("java.vm.name"); + List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); + String gcName = gcBeans.stream().map(GarbageCollectorMXBean::getName).collect(Collectors.joining(", ")); + + boolean isAzulC4 = gcName.toLowerCase().contains("c4") || jvmName.toLowerCase().contains("zing"); + + comparison.put("jvmVendor", jvmVendor); + comparison.put("jvmName", jvmName); + comparison.put("gcCollectors", gcName); + comparison.put("isAzulC4", isAzulC4); + comparison.put("heapSizeMB", Runtime.getRuntime().maxMemory() / (1024 * 1024)); + comparison.put("allocationMode", memoryPressureService.getCurrentMode()); + comparison.put("allocationRateMBps", memoryPressureService.getCurrentMode().getAllocationRateMBPerSec()); + comparison.put("messageRate", publisher.getMessagesPublished()); + + List stats = gcStatsService.collectGCStats(); + comparison.put("gcStats", stats); + + fish.payara.trader.monitoring.GCPauseMonitor.GCPauseStats pauseStats = gcPauseMonitor.getStats(); + comparison.put("pauseP50Ms", pauseStats.p50Ms); + comparison.put("pauseP95Ms", pauseStats.p95Ms); + comparison.put("pauseP99Ms", pauseStats.p99Ms); + comparison.put("pauseP999Ms", pauseStats.p999Ms); + comparison.put("pauseMaxMs", pauseStats.maxMs); // All-time max + comparison.put("pauseAvgMs", pauseStats.avgPauseMs); + comparison.put("totalPauseCount", pauseStats.totalPauseCount); + comparison.put("totalPauseTimeMs", pauseStats.totalPauseTimeMs); + + comparison.put("slaViolations10ms", pauseStats.violationsOver10ms); + comparison.put("slaViolations50ms", pauseStats.violationsOver50ms); + comparison.put("slaViolations100ms", pauseStats.violationsOver100ms); + comparison.put("pauseSampleSize", pauseStats.sampleSize); + + return Response.ok(comparison).build(); + } - @GET - @Path("/comparison") - @Produces(MediaType.APPLICATION_JSON) - public Response getComparison() { - Map comparison = new HashMap<>(); + @GET + @Path("/stats") + @Produces(MediaType.APPLICATION_JSON) + public Response getGCStats() { + List stats = gcStatsService.collectGCStats(); + LOGGER.info(String.format("GET /api/gc/stats - Returned %d GC collector stats", stats.size())); + return Response.ok(stats).build(); + } - // Identify which instance is responding - String instanceName = System.getenv("PAYARA_INSTANCE_NAME"); - if (instanceName == null) { - instanceName = "standalone"; + @POST + @Path("/reset") + @Produces(MediaType.APPLICATION_JSON) + public Response resetStats() { + LOGGER.info("POST /api/gc/reset - Resetting GC statistics"); + gcStatsService.resetStats(); + return Response.ok().entity("{\"status\":\"reset\"}").build(); } - comparison.put("instanceName", instanceName); - - String jvmVendor = System.getProperty("java.vm.vendor"); - String jvmName = System.getProperty("java.vm.name"); - List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); - String gcName = - gcBeans.stream().map(GarbageCollectorMXBean::getName).collect(Collectors.joining(", ")); - - boolean isAzulC4 = - jvmVendor != null && (jvmVendor.contains("Azul") || jvmName.contains("Zing")); - - comparison.put("jvmVendor", jvmVendor); - comparison.put("jvmName", jvmName); - comparison.put("gcCollectors", gcName); - comparison.put("isAzulC4", isAzulC4); - comparison.put("heapSizeMB", Runtime.getRuntime().maxMemory() / (1024 * 1024)); - - comparison.put("allocationMode", memoryPressureService.getCurrentMode()); - comparison.put( - "allocationRateMBps", memoryPressureService.getCurrentMode().getAllocationRateMBPerSec()); - comparison.put("messageRate", publisher.getMessagesPublished()); - - List stats = gcStatsService.collectGCStats(); - comparison.put("gcStats", stats); - - fish.payara.trader.monitoring.GCPauseMonitor.GCPauseStats pauseStats = - gcPauseMonitor.getStats(); - comparison.put("pauseP50Ms", pauseStats.p50Ms); - comparison.put("pauseP95Ms", pauseStats.p95Ms); - comparison.put("pauseP99Ms", pauseStats.p99Ms); - comparison.put("pauseP999Ms", pauseStats.p999Ms); - comparison.put("pauseMaxMs", pauseStats.maxMs); // All-time max - comparison.put("pauseAvgMs", pauseStats.avgPauseMs); - comparison.put("totalPauseCount", pauseStats.totalPauseCount); - comparison.put("totalPauseTimeMs", pauseStats.totalPauseTimeMs); - - comparison.put("slaViolations10ms", pauseStats.violationsOver10ms); - comparison.put("slaViolations50ms", pauseStats.violationsOver50ms); - comparison.put("slaViolations100ms", pauseStats.violationsOver100ms); - comparison.put("pauseSampleSize", pauseStats.sampleSize); - - return Response.ok(comparison).build(); - } - - @GET - @Path("/stats") - @Produces(MediaType.APPLICATION_JSON) - public Response getGCStats() { - List stats = gcStatsService.collectGCStats(); - LOGGER.info(String.format("GET /api/gc/stats - Returned %d GC collector stats", stats.size())); - return Response.ok(stats).build(); - } - - @POST - @Path("/reset") - @Produces(MediaType.APPLICATION_JSON) - public Response resetStats() { - LOGGER.info("POST /api/gc/reset - Resetting GC statistics"); - gcStatsService.resetStats(); - return Response.ok().entity("{\"status\":\"reset\"}").build(); - } } diff --git a/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java b/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java index be0d1ad..9fc49a7 100644 --- a/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java +++ b/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java @@ -13,81 +13,79 @@ @Path("/pressure") public class MemoryPressureResource { - private static final Logger LOGGER = Logger.getLogger(MemoryPressureResource.class.getName()); + private static final Logger LOGGER = Logger.getLogger(MemoryPressureResource.class.getName()); - @Inject private MemoryPressureService pressureService; + @Inject + private MemoryPressureService pressureService; - @GET - @Path("/status") - @Produces(MediaType.APPLICATION_JSON) - public Response getStatus() { - AllocationMode currentMode = pressureService.getCurrentMode(); + @GET + @Path("/status") + @Produces(MediaType.APPLICATION_JSON) + public Response getStatus() { + AllocationMode currentMode = pressureService.getCurrentMode(); - Map status = new HashMap<>(); - status.put("currentMode", currentMode.name()); - status.put("description", currentMode.getDescription()); - status.put("running", pressureService.isRunning()); - status.put("allocationRateMBPerSec", currentMode.getAllocationRateMBPerSec()); - status.put("liveSetSizeMB", currentMode.getLiveSetSizeMB()); - status.put("scenarioType", currentMode.getScenarioType()); - return Response.ok(status).build(); - } + Map status = new HashMap<>(); + status.put("currentMode", currentMode.name()); + status.put("description", currentMode.getDescription()); + status.put("running", pressureService.isRunning()); + status.put("allocationRateMBPerSec", currentMode.getAllocationRateMBPerSec()); + status.put("liveSetSizeMB", currentMode.getLiveSetSizeMB()); + status.put("scenarioType", currentMode.getScenarioType()); + return Response.ok(status).build(); + } - @POST - @Path("/mode/{mode}") - @Produces(MediaType.APPLICATION_JSON) - public Response setMode(@PathParam("mode") String modeStr) { - try { - AllocationMode mode = AllocationMode.valueOf(modeStr.toUpperCase()); - LOGGER.info( - String.format( - "POST /api/pressure/mode/%s - Setting memory pressure mode to: %s", - modeStr, mode.name())); + @POST + @Path("/mode/{mode}") + @Produces(MediaType.APPLICATION_JSON) + public Response setMode(@PathParam("mode") String modeStr) { + try { + AllocationMode mode = AllocationMode.valueOf(modeStr.toUpperCase()); + LOGGER.info(String.format("POST /api/pressure/mode/%s - Setting memory pressure mode to: %s", modeStr, mode.name())); - pressureService.setAllocationMode(mode); + pressureService.setAllocationMode(mode); - Map result = new HashMap<>(); - result.put("success", true); - result.put("mode", mode.name()); - result.put("description", mode.getDescription()); - result.put("allocationRateMBPerSec", mode.getAllocationRateMBPerSec()); - result.put("scenarioType", mode.getScenarioType()); + Map result = new HashMap<>(); + result.put("success", true); + result.put("mode", mode.name()); + result.put("description", mode.getDescription()); + result.put("allocationRateMBPerSec", mode.getAllocationRateMBPerSec()); + result.put("scenarioType", mode.getScenarioType()); - return Response.ok(result).build(); - } catch (IllegalArgumentException e) { - LOGGER.warning(String.format("POST /api/pressure/mode/%s - Invalid mode requested", modeStr)); + return Response.ok(result).build(); + } catch (IllegalArgumentException e) { + LOGGER.warning(String.format("POST /api/pressure/mode/%s - Invalid mode requested", modeStr)); - Map error = new HashMap<>(); - error.put("success", false); - error.put("error", "Invalid mode: " + modeStr); - // Valid modes are all values of AllocationMode - StringBuilder validModes = new StringBuilder(); - for (AllocationMode m : AllocationMode.values()) { - validModes.append(m.name()).append(", "); - } - error.put("validModes", validModes.toString()); - return Response.status(Response.Status.BAD_REQUEST).entity(error).build(); + Map error = new HashMap<>(); + error.put("success", false); + error.put("error", "Invalid mode: " + modeStr); + // Valid modes are all values of AllocationMode + StringBuilder validModes = new StringBuilder(); + for (AllocationMode m : AllocationMode.values()) { + validModes.append(m.name()).append(", "); + } + error.put("validModes", validModes.toString()); + return Response.status(Response.Status.BAD_REQUEST).entity(error).build(); + } } - } - @GET - @Path("/modes") - @Produces(MediaType.APPLICATION_JSON) - public Response getModes() { - LOGGER.fine("GET /api/pressure/modes - Listing all allocation modes"); + @GET + @Path("/modes") + @Produces(MediaType.APPLICATION_JSON) + public Response getModes() { + LOGGER.fine("GET /api/pressure/modes - Listing all allocation modes"); - Map> modes = new HashMap<>(); + Map> modes = new HashMap<>(); - for (AllocationMode mode : AllocationMode.values()) { - Map modeInfo = new HashMap<>(); - modeInfo.put("name", mode.name()); - modeInfo.put("description", mode.getDescription()); - modeInfo.put("allocationRateMBPerSec", mode.getAllocationRateMBPerSec()); - modeInfo.put("liveSetSizeMB", mode.getLiveSetSizeMB()); - modeInfo.put("scenarioType", mode.getScenarioType()); - modes.put(mode.name(), modeInfo); - } + for (AllocationMode mode : AllocationMode.values()) { + Map modeInfo = new HashMap<>(); + modeInfo.put("name", mode.name()); + modeInfo.put("description", mode.getDescription()); + modeInfo.put("allocationRateMBPerSec", mode.getAllocationRateMBPerSec()); + modeInfo.put("liveSetSizeMB", mode.getLiveSetSizeMB()); + modeInfo.put("scenarioType", mode.getScenarioType()); + modes.put(mode.name(), modeInfo); + } - return Response.ok(modes).build(); - } + return Response.ok(modes).build(); + } } diff --git a/src/main/java/fish/payara/trader/rest/StatusResource.java b/src/main/java/fish/payara/trader/rest/StatusResource.java index 46b895c..84ae1c8 100644 --- a/src/main/java/fish/payara/trader/rest/StatusResource.java +++ b/src/main/java/fish/payara/trader/rest/StatusResource.java @@ -18,79 +18,78 @@ @Path("/status") public class StatusResource { - @Inject private AeronSubscriberBean subscriber; + @Inject + private AeronSubscriberBean subscriber; - @Inject private MarketDataPublisher publisher; + @Inject + private MarketDataPublisher publisher; - @Inject private MarketDataBroadcaster broadcaster; + @Inject + private MarketDataBroadcaster broadcaster; - @Inject private HazelcastInstance hazelcastInstance; + @Inject + private HazelcastInstance hazelcastInstance; - @GET - @Produces(MediaType.APPLICATION_JSON) - public Response getStatus() { - Map status = new HashMap<>(); + @GET + @Produces(MediaType.APPLICATION_JSON) + public Response getStatus() { + Map status = new HashMap<>(); - String instanceName = System.getenv("PAYARA_INSTANCE_NAME"); - if (instanceName == null) { - instanceName = "standalone"; + String instanceName = System.getenv("PAYARA_INSTANCE_NAME"); + if (instanceName == null) { + instanceName = "standalone"; + } + + status.put("application", "TradeStreamEE"); + status.put("description", "High-frequency trading dashboard with Aeron and SBE"); + status.put("instance", instanceName); + status.put("subscriber", subscriber.getStatus()); + + // Include both local and cluster-wide message counts + Map publisherStats = new HashMap<>(); + publisherStats.put("localMessagesPublished", publisher.getMessagesPublished()); + publisherStats.put("clusterMessagesPublished", publisher.getClusterMessagesPublished()); + status.put("publisher", publisherStats); + + status.put("websocket", Map.of("activeSessions", broadcaster.getSessionCount())); + status.put("status", "UP"); + + return Response.ok(status).build(); } - status.put("application", "TradeStreamEE"); - status.put("description", "High-frequency trading dashboard with Aeron and SBE"); - status.put("instance", instanceName); - status.put("subscriber", subscriber.getStatus()); - - // Include both local and cluster-wide message counts - Map publisherStats = new HashMap<>(); - publisherStats.put("localMessagesPublished", publisher.getMessagesPublished()); - publisherStats.put("clusterMessagesPublished", publisher.getClusterMessagesPublished()); - status.put("publisher", publisherStats); - - status.put("websocket", Map.of("activeSessions", broadcaster.getSessionCount())); - status.put("status", "UP"); - - return Response.ok(status).build(); - } - - /** Get cluster status and membership information */ - @GET - @Path("/cluster") - @Produces(MediaType.APPLICATION_JSON) - public Response getClusterStatus() { - Map clusterInfo = new HashMap<>(); - - try { - if (hazelcastInstance == null) { - clusterInfo.put("clustered", false); - clusterInfo.put("message", "Running in standalone mode (Hazelcast not available)"); - return Response.ok(clusterInfo).build(); - } - - clusterInfo.put("clustered", true); - clusterInfo.put("clusterSize", hazelcastInstance.getCluster().getMembers().size()); - clusterInfo.put("clusterTime", hazelcastInstance.getCluster().getClusterTime()); - clusterInfo.put( - "localMemberUuid", hazelcastInstance.getCluster().getLocalMember().getUuid().toString()); - - clusterInfo.put( - "members", - hazelcastInstance.getCluster().getMembers().stream() - .map( - member -> - Map.of( - "address", member.getAddress().toString(), - "uuid", member.getUuid().toString(), - "localMember", member.localMember(), - "liteMember", member.isLiteMember())) - .collect(Collectors.toList())); - - return Response.ok(clusterInfo).build(); - - } catch (Exception e) { - clusterInfo.put("clustered", false); - clusterInfo.put("error", e.getMessage()); - return Response.status(Response.Status.INTERNAL_SERVER_ERROR).entity(clusterInfo).build(); + /** Get cluster status and membership information */ + @GET + @Path("/cluster") + @Produces(MediaType.APPLICATION_JSON) + public Response getClusterStatus() { + Map clusterInfo = new HashMap<>(); + + try { + if (hazelcastInstance == null) { + clusterInfo.put("clustered", false); + clusterInfo.put("message", "Running in standalone mode (Hazelcast not available)"); + return Response.ok(clusterInfo).build(); + } + + clusterInfo.put("clustered", true); + clusterInfo.put("clusterSize", hazelcastInstance.getCluster().getMembers().size()); + clusterInfo.put("clusterTime", hazelcastInstance.getCluster().getClusterTime()); + clusterInfo.put("localMemberUuid", hazelcastInstance.getCluster().getLocalMember().getUuid().toString()); + + clusterInfo.put("members", + hazelcastInstance.getCluster() + .getMembers() + .stream() + .map(member -> Map.of("address", member.getAddress().toString(), "uuid", member.getUuid().toString(), "localMember", + member.localMember(), "liteMember", member.isLiteMember())) + .collect(Collectors.toList())); + + return Response.ok(clusterInfo).build(); + + } catch (Exception e) { + clusterInfo.put("clustered", false); + clusterInfo.put("error", e.getMessage()); + return Response.status(Response.Status.INTERNAL_SERVER_ERROR).entity(clusterInfo).build(); + } } - } } diff --git a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java index 5dd4370..40e43d3 100644 --- a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java +++ b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java @@ -14,169 +14,162 @@ /** * Broadcaster for market data WebSocket messages. * - *

Maintains a set of active WebSocket sessions and broadcasts JSON messages to all connected - * clients. + *

+ * Maintains a set of active WebSocket sessions and broadcasts JSON messages to all connected clients. * - *

In clustered mode, uses Hazelcast distributed topics to broadcast messages across all cluster - * members, ensuring all WebSocket clients receive data regardless of which instance they connect - * to. + *

+ * In clustered mode, uses Hazelcast distributed topics to broadcast messages across all cluster members, ensuring all WebSocket clients receive data regardless + * of which instance they connect to. * - *

Note: JSON string creation intentionally generates garbage to stress-test Azul's Pauseless GC - * (C4). + *

+ * Note: JSON string creation intentionally generates garbage to stress-test Azul's Pauseless GC (C4). */ @ApplicationScoped public class MarketDataBroadcaster { - private static final Logger LOGGER = Logger.getLogger(MarketDataBroadcaster.class.getName()); - private static final String TOPIC_NAME = "market-data-broadcast"; - - private final Set sessions = ConcurrentHashMap.newKeySet(); - - @Inject private HazelcastInstance hazelcastInstance; - - @Inject private fish.payara.trader.monitoring.SLAMonitorService slaMonitor; - - private ITopic clusterTopic; - - // Statistics - private long messagesSent = 0; - private long lastStatsTime = System.currentTimeMillis(); - - /** Initialize Hazelcast topic subscription for cluster-wide broadcasting */ - @PostConstruct - public void init() { - try { - if (hazelcastInstance != null) { - clusterTopic = hazelcastInstance.getTopic(TOPIC_NAME); - clusterTopic.addMessageListener( - message -> { - broadcastLocal(message.getMessageObject()); - }); - LOGGER.info("Subscribed to Hazelcast topic: " + TOPIC_NAME + " (clustered mode)"); - } else { - LOGGER.info("Hazelcast not available - running in standalone mode"); - } - } catch (Exception e) { - LOGGER.log(Level.SEVERE, "Failed to initialize Hazelcast topic subscription", e); - // Continue without clustering + private static final Logger LOGGER = Logger.getLogger(MarketDataBroadcaster.class.getName()); + private static final String TOPIC_NAME = "market-data-broadcast"; + + private final Set sessions = ConcurrentHashMap.newKeySet(); + + @Inject + private HazelcastInstance hazelcastInstance; + + @Inject + private fish.payara.trader.monitoring.SLAMonitorService slaMonitor; + + private ITopic clusterTopic; + + // Statistics + private long messagesSent = 0; + private long lastStatsTime = System.currentTimeMillis(); + + /** Initialize Hazelcast topic subscription for cluster-wide broadcasting */ + @PostConstruct + public void init() { + try { + if (hazelcastInstance != null) { + clusterTopic = hazelcastInstance.getTopic(TOPIC_NAME); + clusterTopic.addMessageListener(message -> { + broadcastLocal(message.getMessageObject()); + }); + LOGGER.info("Subscribed to Hazelcast topic: " + TOPIC_NAME + " (clustered mode)"); + } else { + LOGGER.info("Hazelcast not available - running in standalone mode"); + } + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Failed to initialize Hazelcast topic subscription", e); + // Continue without clustering + } } - } - - /** Register a new WebSocket session */ - public void addSession(Session session) { - sessions.add(session); - LOGGER.info("WebSocket session added. Total sessions: " + sessions.size()); - } - - public void removeSession(Session session) { - sessions.remove(session); - LOGGER.info("WebSocket session removed. Total sessions: " + sessions.size()); - } - - /** - * Broadcast JSON message to all connected clients across the cluster. - * - *

In clustered mode, publishes to Hazelcast topic which distributes to all cluster members. - * Each member then broadcasts to its local WebSocket sessions. - * - *

In standalone mode, broadcasts directly to local sessions. - * - *

This method intentionally creates string allocations to generate garbage and stress the - * garbage collector. - */ - public void broadcast(String jsonMessage) { - if (clusterTopic != null) { - try { - clusterTopic.publish(jsonMessage); - } catch (Exception e) { - LOGGER.log( - Level.SEVERE, - "Failed to publish to Hazelcast topic, falling back to local broadcast", - e); - broadcastLocal(jsonMessage); - } - } else { - broadcastLocal(jsonMessage); + + /** Register a new WebSocket session */ + public void addSession(Session session) { + sessions.add(session); + LOGGER.info("WebSocket session added. Total sessions: " + sessions.size()); } - } - - /** - * Broadcast message to local WebSocket sessions only. Called either in standalone mode or by - * Hazelcast topic listener. - */ - private void broadcastLocal(String jsonMessage) { - if (sessions.isEmpty()) { - return; + + public void removeSession(Session session) { + sessions.remove(session); + LOGGER.info("WebSocket session removed. Total sessions: " + sessions.size()); } - long startTime = System.currentTimeMillis(); - - sessions.removeIf( - session -> { - if (!session.isOpen()) { - return true; - } - try { - session.getAsyncRemote().sendText(jsonMessage); - return false; - } catch (Exception e) { - LOGGER.log(Level.WARNING, "Failed to send message", e); - return true; - } + /** + * Broadcast JSON message to all connected clients across the cluster. + * + *

+ * In clustered mode, publishes to Hazelcast topic which distributes to all cluster members. Each member then broadcasts to its local WebSocket sessions. + * + *

+ * In standalone mode, broadcasts directly to local sessions. + * + *

+ * This method intentionally creates string allocations to generate garbage and stress the garbage collector. + */ + public void broadcast(String jsonMessage) { + if (clusterTopic != null) { + try { + clusterTopic.publish(jsonMessage); + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Failed to publish to Hazelcast topic, falling back to local broadcast", e); + broadcastLocal(jsonMessage); + } + } else { + broadcastLocal(jsonMessage); + } + } + + /** + * Broadcast message to local WebSocket sessions only. Called either in standalone mode or by Hazelcast topic listener. + */ + private void broadcastLocal(String jsonMessage) { + if (sessions.isEmpty()) { + return; + } + + long startTime = System.currentTimeMillis(); + + sessions.removeIf(session -> { + if (!session.isOpen()) { + return true; + } + try { + session.getAsyncRemote().sendText(jsonMessage); + return false; + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to send message", e); + return true; + } }); - long latency = System.currentTimeMillis() - startTime; - if (slaMonitor != null) { - slaMonitor.recordOperation(latency); + long latency = System.currentTimeMillis() - startTime; + if (slaMonitor != null) { + slaMonitor.recordOperation(latency); + } + + logStatistics(); + } + + /** + * Broadcast to all clients with additional garbage generation for GC stress. + * + *

+ * This method wraps the original message in a larger JSON envelope with padding. This increases both memory allocation (String construction) and network + * bandwidth usage, simulating a heavier protocol or inefficient data packaging. + */ + public void broadcastWithArtificialLoad(String jsonMessage) { + String padding = "X".repeat(1024); + + // Wrap the original message in a new JSON structure + // We use StringBuilder to explicitly construct the new JSON string + String enrichedMessage = new StringBuilder(jsonMessage.length() + padding.length() + 100).append("{\"wrapped\":true,") + .append("\"timestamp\":") + .append(System.nanoTime()) + .append(",") + .append("\"padding\":\"") + .append(padding) + .append("\",") + .append("\"data\":") + .append(jsonMessage) + .append("}") + .toString(); + + broadcast(enrichedMessage); + } + + /** Get count of active sessions */ + public int getSessionCount() { + return sessions.size(); } - logStatistics(); - } - - /** - * Broadcast to all clients with additional garbage generation for GC stress. - * - *

This method wraps the original message in a larger JSON envelope with padding. This - * increases both memory allocation (String construction) and network bandwidth usage, simulating - * a heavier protocol or inefficient data packaging. - */ - public void broadcastWithArtificialLoad(String jsonMessage) { - String padding = "X".repeat(1024); - - // Wrap the original message in a new JSON structure - // We use StringBuilder to explicitly construct the new JSON string - String enrichedMessage = - new StringBuilder(jsonMessage.length() + padding.length() + 100) - .append("{\"wrapped\":true,") - .append("\"timestamp\":") - .append(System.nanoTime()) - .append(",") - .append("\"padding\":\"") - .append(padding) - .append("\",") - .append("\"data\":") - .append(jsonMessage) - .append("}") - .toString(); - - broadcast(enrichedMessage); - } - - /** Get count of active sessions */ - public int getSessionCount() { - return sessions.size(); - } - - /** Log statistics periodically */ - private void logStatistics() { - long now = System.currentTimeMillis(); - if (now - lastStatsTime > 10000) { // Log every 10 seconds - LOGGER.info( - String.format( - "WebSocket Stats - Active sessions: %d, Messages sent: %,d (%.1f msg/sec)", - sessions.size(), messagesSent, messagesSent / ((now - lastStatsTime) / 1000.0))); - lastStatsTime = now; - messagesSent = 0; + /** Log statistics periodically */ + private void logStatistics() { + long now = System.currentTimeMillis(); + if (now - lastStatsTime > 10000) { // Log every 10 seconds + LOGGER.info(String.format("WebSocket Stats - Active sessions: %d, Messages sent: %,d (%.1f msg/sec)", sessions.size(), messagesSent, + messagesSent / ((now - lastStatsTime) / 1000.0))); + lastStatsTime = now; + messagesSent = 0; + } } - } } diff --git a/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java b/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java index c1978e6..2a4840e 100644 --- a/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java +++ b/src/main/java/fish/payara/trader/websocket/MarketDataWebSocket.java @@ -10,60 +10,55 @@ /** * WebSocket endpoint for streaming market data to clients. * - *

Clients connect to ws://host:port/context/market-data and receive real-time JSON market data - * updates. + *

+ * Clients connect to ws://host:port/context/market-data and receive real-time JSON market data updates. */ @ServerEndpoint("/market-data") public class MarketDataWebSocket { - private static final Logger LOGGER = Logger.getLogger(MarketDataWebSocket.class.getName()); + private static final Logger LOGGER = Logger.getLogger(MarketDataWebSocket.class.getName()); - @Inject private MarketDataBroadcaster broadcaster; + @Inject + private MarketDataBroadcaster broadcaster; - @Inject - @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") - private String ingestionMode; + @Inject + @ConfigProperty(name = "TRADER_INGESTION_MODE", defaultValue = "AERON") + private String ingestionMode; - @OnOpen - public void onOpen(Session session) { - LOGGER.info("WebSocket connection opened: " + session.getId()); - broadcaster.addSession(session); + @OnOpen + public void onOpen(Session session) { + LOGGER.info("WebSocket connection opened: " + session.getId()); + broadcaster.addSession(session); - try { - String welcomeJson = - String.format( - "{\"type\":\"info\",\"message\":\"Connected to TradeStreamEE market data feed\",\"mode\":\"%s\"}", - ingestionMode); - session.getBasicRemote().sendText(welcomeJson); - } catch (Exception e) { - LOGGER.log(Level.WARNING, "Failed to send welcome message", e); + try { + String welcomeJson = String.format("{\"type\":\"info\",\"message\":\"Connected to TradeStreamEE market data feed\",\"mode\":\"%s\"}", + ingestionMode); + session.getBasicRemote().sendText(welcomeJson); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to send welcome message", e); + } } - } - @OnClose - public void onClose(Session session, CloseReason closeReason) { - LOGGER.info( - "WebSocket connection closed: " - + session.getId() - + ", reason: " - + closeReason.getReasonPhrase()); - broadcaster.removeSession(session); - } + @OnClose + public void onClose(Session session, CloseReason closeReason) { + LOGGER.info("WebSocket connection closed: " + session.getId() + ", reason: " + closeReason.getReasonPhrase()); + broadcaster.removeSession(session); + } - @OnError - public void onError(Session session, Throwable throwable) { - LOGGER.log(Level.WARNING, "WebSocket error for session: " + session.getId(), throwable); - broadcaster.removeSession(session); - } + @OnError + public void onError(Session session, Throwable throwable) { + LOGGER.log(Level.WARNING, "WebSocket error for session: " + session.getId(), throwable); + broadcaster.removeSession(session); + } - @OnMessage - public void onMessage(String message, Session session) { - LOGGER.fine("Received message from client: " + message); + @OnMessage + public void onMessage(String message, Session session) { + LOGGER.fine("Received message from client: " + message); - try { - session.getBasicRemote().sendText("{\"type\":\"ack\",\"message\":\"Message received\"}"); - } catch (Exception e) { - LOGGER.log(Level.WARNING, "Failed to send acknowledgment", e); + try { + session.getBasicRemote().sendText("{\"type\":\"ack\",\"message\":\"Message received\"}"); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to send acknowledgment", e); + } } - } } diff --git a/src/main/webapp/blog.html b/src/main/webapp/blog.html index da08d2b..52fcf2e 100644 --- a/src/main/webapp/blog.html +++ b/src/main/webapp/blog.html @@ -287,15 +287,13 @@

Azul C4 and Payara: The Ideal Base for High-Speed Financial Applications

-

In high-frequency trading (HFT) and financial services, every microsecond counts. The difference between profit and loss often comes down to how quickly your system can process market data and execute trades. For years, Java has been viewed with skepticism in the world of low-latency finance, primarily due to its notorious "stop-the-world" garbage collection pauses that can wreck predictable performance.

+

In high-frequency trading (HFT) and financial services, latency determines profitability. The difference between profit and loss comes down to how quickly your system can process market data and execute trades. For years, Java has been viewed with skepticism in low-latency finance, primarily due to its "stop-the-world" garbage collection pauses that can wreck predictable performance.

-

But what if I told you that Java is now one of the best choices for latency-sensitive financial applications?

- -

I developed TradeStreamEE, a sophisticated high-frequency trading dashboard to demonstrate that HFT is not only possible but also highly performant in Enterprise Java, particularly when combining Azul Platform Prime with the C4 garbage collector and Payara Micro. This technology stack changes Java's performance profile, offering measurable, real-world improvements that are now leading financial institutions to reconsider their current technology choices.

+

Java is now a viable platform for latency-sensitive financial applications. TradeStreamEE, a high-frequency trading reference architecture, shows HFT-class performance on Enterprise Java by combining Azul Platform Prime with the C4 garbage collector and Payara Micro. This technology stack changes Java's performance profile, offering measurable improvements that make Enterprise Java competitive for low-latency workloads.

The Evidence: Scenario-Based GC Stress Testing

-

Rather than applying generic high-allocation pressure, TradeStreamEE uses scenario-based testing that targets specific garbage collector weaknesses. Each scenario exposes fundamental algorithmic differences between G1 and C4.

+

TradeStreamEE uses scenario-based testing that targets specific garbage collector weaknesses rather than applying generic high-allocation pressure. Each scenario exposes fundamental algorithmic differences between G1 and C4.

The test scenarios include:

@@ -307,7 +305,7 @@

The Evidence: Scenario-Based GC Stress Testing

  • CROSS_GEN_REFS: 150 MB/sec with 800 MB in old generation holding references to young objects. Tests remembered set overhead.
    • -

    Each scenario uses 4 parallel threads to generate allocation load, mirroring production web servers and trading systems where multiple threads compete for heap space. The allocation rates (100-300 MB/sec) are calibrated to demonstrate normal GC behavior rather than pathological thrashing, ensuring consistent results across 2GB-4GB heap configurations.

    +

    Each scenario uses 4 parallel threads to generate allocation load, mirroring production web servers and trading systems where multiple threads compete for heap space. The allocation rates (100-300 MB/sec) are calibrated to show normal GC behavior rather than pathological thrashing, ensuring consistent results across 2GB-4GB heap configurations.

    Here is the raw JSON returned from our Payara endpoints during a PROMOTION_STORM scenario:

    @@ -328,20 +326,20 @@

    The Evidence: Scenario-Based GC Stress Testing

    The Results

    -

    Under PROMOTION_STORM (300 MB/sec with high old generation traffic), the application's garbage collection pauses peaked at 1 millisecond. The 50th percentile (median) was 0ms. G1 under the same scenario exhibited pauses of 50-200ms as mixed collections struggled to keep pace with promotion rates.

    +

    Under PROMOTION_STORM (300 MB/sec with high old generation traffic), the application's garbage collection pauses peaked at 1 millisecond. The 50th percentile (median) was 0ms. In comparable testing, G1 showed significantly higher pause times as mixed collections struggled to keep pace with promotion rates.

    Payara Micro: Enterprise Jakarta EE for Demanding Applications

    -

    While Azul C4 eliminates Java's performance limitations, Payara Micro provides the enterprise-grade Jakarta EE runtime that makes sophisticated financial applications possible.

    +

    While Azul C4 addresses Java's GC limitations, Payara Micro provides the enterprise-grade Jakarta EE runtime that enables sophisticated financial applications.

    -

    What makes Payara Micro well suited for financial services is its thoughtful balance of enterprise features and performance optimization. The platform weighs just 100MB and starts in seconds, making it perfect for the microservices architectures that dominate modern financial technology stacks. But do not be deceived by the small footprint. It packs the full power of Jakarta EE 11, featuring critical implementations like Jakarta CDI for dependency injection, WebSocket support for real-time communication, and Jakarta REST for RESTful APIs.

    +

    Payara Micro balances enterprise features with performance optimization. The runtime weighs approximately 100MB and starts in seconds, making it suitable for the microservices architectures common in modern financial technology stacks. Despite the small footprint, it provides the full capabilities of Jakarta EE 11, including Jakarta CDI for dependency injection, WebSocket support for real-time communication, and Jakarta REST for RESTful APIs.

    Built-in Clustering with Hazelcast

    -

    Using Hazelcast under the hood, Payara provides automatic data replication across cluster nodes. Through such deep integration, creating a cluster of Payara Micro instances is a breeze.

    +

    Using Hazelcast under the hood, Payara provides automatic data replication across cluster nodes. Through this integration, creating a cluster of Payara Micro instances requires minimal configuration.

    -

    In our code, we didn't have to write complex distributed consensus logic. We simply injected the Hazelcast instance to track global throughput across the cluster:

    +

    In our code, we injected the Hazelcast instance to track global throughput across the cluster without writing distributed consensus logic:

    // Payara + Hazelcast: Instant cluster-wide metrics without complex setup
 @Inject private HazelcastInstance hazelcastInstance;
@@ -353,15 +351,15 @@ 
    Built-in Clustering with Hazelcast
    
         hazelcastInstance.getCPSubsystem().getAtomicLong("cluster-message-count");
 }
    -

    This means financial firms can build highly available trading systems that can withstand node failures without losing market data or transaction state.

    +

    Financial firms can build highly available trading systems that withstand node failures without losing market data or transaction state.

    -

    Architecture Deep Dive Into TradeStreamEE

    +

    Architecture Deep Dive: TradeStreamEE

    -

    The TradeStreamEE application serves as a perfect showcase for what's possible when you combine Azul C4 and Payara Micro. The architecture demonstrates thoughtful engineering that addresses the specific challenges of financial trading systems.

    +

    The TradeStreamEE application shows what is possible when you combine Azul C4 and Payara Micro. The architecture addresses the specific challenges of financial trading systems.

    -

    The "Hero": Zero-Copy SBE

    +

    Core Technology: Zero-Copy SBE

    -

    At the core of the system is Aeron IPC with Simple Binary Encoding (SBE), technologies that enable zero-copy message processing. The approach is elegant: instead of creating new Java objects for every market data message, the system uses "flyweight" objects that act as windows over shared memory buffers. This eliminates object allocation entirely during the critical path of message processing.

    +

    At the core of the system is Aeron IPC with Simple Binary Encoding (SBE), technologies that enable zero-copy message processing. Instead of creating new Java objects for every market data message, the system uses "flyweight" objects that act as views over shared memory buffers. This eliminates object allocation during the critical path of message processing.

    // SBE Flyweight pattern - zero object allocation during processing
 private final TradeDecoder tradeDecoder = new TradeDecoder();
@@ -371,7 +369,7 @@ 
    The "Hero": Zero-Copy SBE
    
 public void onFragment(DirectBuffer buffer, int offset, int length, Header header) {
     headerDecoder.wrap(buffer, offset);
 
-    // Move the "window" to the data without allocating a new object
+    // Move the "view" to the data without allocating a new object
     tradeDecoder.wrap(buffer, offset + headerDecoder.encodedLength(),
                      headerDecoder.blockLength(), headerDecoder.version());
 
@@ -381,11 +379,11 @@ 
    The "Hero": Zero-Copy SBE
    
     final long quantity = tradeDecoder.quantity();
 }
    -

    The "Villain": Scenario-Based Memory Pressure

    +

    Stress Testing: Scenario-Based Memory Pressure

    -

    To demonstrate collector behavior under specific pathological conditions, the MemoryPressureService implements five distinct scenarios. Each targets a known G1 weakness while C4 handles the workload without pause.

    +

    To show collector behavior under specific pathological conditions, the MemoryPressureService implements five distinct scenarios. Each targets a known G1 weakness while C4 handles the workload without pause.

    -

    The CROSS_GEN_REFS scenario is particularly instructive. It creates old generation objects that hold references to newly allocated young objects, triggering G1's write barriers and remembered set maintenance:

    +

    The CROSS_GEN_REFS scenario creates old generation objects that hold references to newly allocated young objects, triggering G1's write barriers and remembered set maintenance:

    // Cross-generational reference stress test
 private static class RefHolder {
@@ -413,28 +411,28 @@ 
    The "Villain": Scenario-Based Memory Pressure
    
 
             
    The Business Impact
    
 
-            
    The business implications of this technology combination extend far beyond technical performance metrics. For trading firms, predictable latency directly translates to competitive advantage in the market.
    
+            
    The business implications of this technology combination extend beyond technical performance metrics. For trading firms, predictable latency directly translates to competitive advantage in the market.
    
 
-            
    Perhaps more importantly, the operational complexity that has traditionally plagued Java performance tuning virtually disappears. The standard approach to Java latency problems involved teams of performance engineers spending months tuning JVM parameters (-XX:NewRatio, -XX:SurvivorRatio). With Azul C4 and Payara Micro, most of that complexity evaporates. C4 adapts automatically to workload patterns, eliminating the need for manual parameter tuning.
    
+            
    Operational complexity also decreases significantly. Traditional Java performance tuning often requires considerable effort to optimize JVM parameters (-XX:NewRatio, -XX:SurvivorRatio). With Azul C4 and Payara Micro, C4 adapts automatically to workload patterns, eliminating the need for manual parameter tuning.
    
 
-            
    In our tests, a single Payara Micro instance effortlessly handled ingestion rates exceeding 30 million messages, with zero degradation in SLA compliance. This means financial firms can process more trades per second, handle higher client volumes without performance degradation, and maintain consistent service levels even during market stress events.
    
+            
    In our tests, a single Payara Micro instance handled sustained ingestion at rates exceeding 30,000 messages per second with zero GC pauses exceeding 1ms. Financial firms can process more trades per second, handle higher client volumes without performance degradation, and maintain consistent service levels during market stress events.
    
 
             
    Conclusion
    
 
-            
    Azul C4 and Payara Micro fundamentally redefine the potential of Java for low-latency financial applications. This is more than an incremental gain; it's a paradigm shift.
    
+            
    Azul C4 and Payara Micro redefine the capabilities of Java for low-latency financial applications. This represents a fundamental shift in what is possible with Enterprise Java.
    
 
-            
    By combining the operational maturity of Payara with the runtime supremacy of Azul Platform Prime, organizations can have their cake and eat it too. You can build maintainable, secure, and scalable Jakarta EE applications that meet the most demanding latency SLAs of the financial industry.
    
+            
    By combining the operational maturity of Payara with the superior runtime performance of Azul Platform Prime, organizations can achieve both development productivity and runtime performance. You can build maintainable, secure, and scalable Jakarta EE applications that meet the strict latency SLAs required by financial trading systems.
    
 
-            
    The question is no longer whether Java can handle low-latency financial workloads. With Azul C4 and Payara, it's now one of the best choices available.
    
+            
    Java can handle low-latency financial workloads. With Azul C4 and Payara, it is a competitive choice.
    
 
             
    
                 
    Ready to See It in Action?
    
-                
    The theory is compelling, but the real proof is in the running system. I encourage you to:
    
+                
    The theory is compelling, but the real proof is in the running system. Explore the following:
    
                 
      
-                    
    • Explore the Code: Check out the TradeStreamEE repository on GitHub to see the complete implementation. The codebase demos best practices for low-latency Java development.
      • 
-                    
    • Try Payara Micro: Download Payara Micro and experience the lightweight, enterprise-grade application server for yourself.
      • 
-                    
    • Try Payara Qube: Deploy to Payara Qube (formerly Payara Cloud) for effortless cloud deployment without the infrastructure overhead.
      • 
-                    
    • Evaluate Azul Platform Prime: Request a trial of Azul Platform Prime to see C4 garbage collection in action. The performance improvements are immediately noticeable, especially under memory pressure.
      • 
+                    
    • Explore the Code: Check out the TradeStreamEE repository on GitHub to see the complete implementation. The codebase shows best practices for low-latency Java development.
      • 
+                    
    • Try Payara Micro: Download Payara Micro and experience the lightweight, enterprise-grade application server.
      • 
+                    
    • Try Payara Qube: Deploy to Payara Qube (formerly Payara Cloud) for cloud deployment without infrastructure overhead.
      • 
+                    
    • Evaluate Azul Platform Prime: Request a trial of Azul Platform Prime to see C4 garbage collection in action. The performance improvements are noticeable under memory pressure.
      • 
                     
    • Run Your Own Tests: Use the built-in scenario-based stress testing in TradeStreamEE. The five scenarios (STEADY_LOAD, GROWING_HEAP, PROMOTION_STORM, FRAGMENTATION, CROSS_GEN_REFS) target specific GC weaknesses, allowing direct comparison between G1 and C4 behavior under controlled conditions.
      • 
                 
    
             
    
diff --git a/src/main/webapp/images/dashboard.png b/src/main/webapp/images/dashboard.png
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z+lo_%>;pVGbo-h1HMwZ^y2D7dlMmdxB7t()c;Q#p*^JRAW_OpPR@>e{e?JhcU@>9)
znxEn&gE~R!IpCsAd^HVfEQ~oVQhZokb4pk9PAz0+q6ME`>qB!83$BI1k~RP29?=b|
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zIMa6$x%{WP;;P8r$-ToDBv<^xBN&OdY;sKw&#{-+l>ToAzul C4 + Payara Micro for Low-Latency Trading
             
    
         
 
+        
+        
    
+            
    Part 1
    
+            
    The Problem
    
+            
    Why GC pauses matter in financial systems
    
+        
    
+
         
         
    
             
    The Problem: GC Pauses in Financial Systems
    
@@ -226,7 +233,7 @@ 
    Why Traditional Java Struggles with HFT
    
                 
    
                     
    The Challenge
    
                     
      
-                        
    • HFT processes millions of messages/second
      • 
+                        
    • HFT processes 50,000-100,000+ messages/second
      • 
                         
    • Latency budgets measured in microseconds
      • 
                         
    • Single 50ms pause = missed trades
      • 
                         
    • Unpredictable latency violates SLAs
      • 
@@ -348,30 +355,31 @@ 
      Compaction Pauses
      
 
         
         
      
-            
      Azul C4: Concurrent by Design
      
+            
      Azul C4/GPGC: Concurrent by Design
      
             
      How Pauseless Collection Works
      
             
      
                 
      
-                    
      Read Barriers
      
+                    
      Read Barriers (LVB)
      
                     
        
-                        
      • Check object state on every read
        • 
+                        
      • Loaded Value Barrier on every read
        • 
                         
      • Relocate objects on-the-fly
        • 
-                        
      • No stop-the-world compaction
        • 
-                        
      • Hardware-assisted (LVB)
        • 
+                        
      • Enables concurrent compaction
        • 
+                        
      • Small overhead, huge benefit
        • 
                     
      
                 
      
                 
      
-                    
      No Generations
      
+                    
      Concurrent Generations
      
                     
        
-                        
      • Single heap region
        • 
-                        
      • No remembered sets needed
        • 
-                        
      • No write barrier overhead
        • 
-                        
      • Simpler, more predictable
        • 
+                        
      • Has young (New) and old generations
        • 
+                        
      • Both collected concurrently
        • 
+                        
      • No STW for generational collection
        • 
+                        
      • No remembered set scanning pauses
        • 
                     
      
                 
      
             
      
             
      
-                
      Result: Pause times remain under 1ms regardless of heap size or live set.
      
+                
      Result: Sub-millisecond pauses regardless of heap size or live set.
      
+                
      C4 = algorithm name; GPGC (Generational Pauseless GC) = collector implementation in JMX
      
             
      
         
      
 
@@ -453,6 +461,13 @@ 
      Testing G1's Write Barrier Overhead
      
             
      
         
    
 
+        
+        
    
+            
    Part 2
    
+            
    Architecture
    
+            
    Zero-copy pipeline design with Jakarta EE
    
+        
    
+
         
         
    
             
    TradeStreamEE Architecture
    
@@ -488,6 +503,88 @@ 
    Application Layer
    
             
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    + +
    +

    Dual-Mode Ingestion

    +

    AERON vs DIRECT: Controlled Comparison

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    AspectAERON ModeDIRECT Mode
    EncodingSBE binaryJSON strings
    TransportShared memory IPCIn-process calls
    Allocation~0 bytes/message~1KB+ per message
    GC PressureMinimalHigh (intentional)
    PurposeProduction patternGC stress baseline
    +
    +

    DIRECT mode adds 1KB+ padding per message to stress the garbage collector. This isolates GC as the variable when comparing C4 vs G1.

    +
    +
    + + +
    +

    SBE Schema: 5 Message Types

    +

    Defined in market-data.xml

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    MessageIDKey Fields
    Trade1timestamp, tradeId, price, quantity, side, symbol
    Quote2timestamp, bidPrice, bidSize, askPrice, askSize, symbol
    MarketDepth3bids[], asks[] (5 levels), sequenceNumber
    OrderAck4orderId, execType, leavesQty, cumQty, side
    Heartbeat5timestamp, sequenceNumber
    +

    + Price encoding: int64 × 10,000 for 4 decimal places. Little-endian byte order. +

    +
    +

    SBE: Zero-Copy Message Processing

    @@ -541,18 +638,61 @@

    Aeron IPC

  • Direct memory access
  • Zero-copy with SBE
  • No kernel involvement
    • -
  • Latency: sub-microsecond
    • +
  • Transport latency: sub-microsecond

    • Aeron's ring buffer in shared memory allows components on the same machine to communicate without network overhead. Combined with SBE, the entire path from publisher to subscriber involves no object allocation.

    +

    Note: End-to-end latency includes WebSocket broadcast and JSON conversion. Transport layer is sub-microsecond.

    +
    + + + +
    +

    Aeron Configuration Details

    +

    Production-Ready Settings

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    ParameterValuePurpose
    Channelaeron:ipcInter-process communication mode
    Stream ID1001Logical message stream identifier
    Fragment Limit10Messages polled per iteration
    Idle StrategyBackoffIdleStrategy100ns → 100μs adaptive backoff
    Shared Memory512 MBIPC buffer size (Docker tmpfs)
    +
    +

    Circuit Breaker

    +

    Publisher stops after 50 consecutive offer failures to prevent resource exhaustion.

    -

    Payara Micro: Enterprise Runtime

    +

    Payara Micro 7.2025.2

    Jakarta EE 11 for Financial Applications

    @@ -569,10 +709,10 @@

    Features

    Clustering

      -
    • Hazelcast built-in
      • -
    • Automatic discovery
      • -
    • Distributed counters
      • -
    • Session replication
      • +
    • Hazelcast 5.5 built-in
      • +
    • TCP/IP discovery (Docker)
      • +
    • CP Subsystem for counters
      • +
    • Reliable Topics (back-pressure)
    • No external infrastructure
    @@ -593,8 +733,9 @@

    Clustering

    Jakarta Concurrency 3.1

    Virtual Threads for Memory Pressure Testing

    
-@Resource
-private ManagedExecutorService executorService;
+@Inject
+@VirtualThreadExecutor  // Jakarta Concurrency 3.1 - virtual threads
+private ManagedExecutorService managedExecutorService;
 
 private void allocateTransientGarbageMultiThreaded(int totalBytes, int numThreads) {
     int bytesPerThread = totalBytes / numThreads;
@@ -605,7 +746,7 @@ 
    Virtual Threads for Memory Pressure Testing
    
             byte[] garbage = new byte[bytesPerThread];
             ThreadLocalRandom.current().nextBytes(garbage);
             totalBytesAllocated.addAndGet(bytesPerThread);
-        }, executorService);
+        }, managedExecutorService);
     }
 
     CompletableFuture.allOf(futures).join();
@@ -616,34 +757,53 @@ 
    Virtual Threads for Memory Pressure Testing
    + +
    +

    Part 3

    +

    Test Results

    +

    Measured GC behavior under stress scenarios

    +
    +

    Test Results: G1 vs C4

    Under PROMOTION_STORM (300 MB/sec, 50% survival)

    -
    50-200ms
    -
    G1 Mixed Collection Pauses
    +
    25ms
    +
    G1 Maximum Pause (measured)
    -
    < 1ms
    -
    C4 Maximum Pause
    +
    2ms
    +
    C4 Maximum Pause (measured)
    - 
    
+            
    
+                
    
+                    
    G1GC (Zulu 21)
    
+                    
    
 {
-  "currentMode": "PROMOTION_STORM",
-  "allocationRateMBPerSec": 300,
-  "liveSetSizeMB": 1024,
-  "percentiles": {
-    "p50": 0,
-    "p99": 1,
-    "max": 1
-  }
+  "pauseP50Ms": 3, "pauseP95Ms": 16,
+  "pauseP99Ms": 24, "pauseMaxMs": 25,
+  "avgPauseMs": 4.87,
+  "slaViolations10ms": 20
 }
-            
    
-            
    
-                C4 maintains sub-millisecond pauses regardless of promotion rate or live set size.
+
    +
    +
    +

    C4/GPGC (Prime 21)

    + 
    
+{
+  "pauseP50Ms": 0, "pauseP95Ms": 1,
+  "pauseP99Ms": 1, "pauseMaxMs": 2,
+  "avgPauseMs": 0.078,
+  "slaViolations10ms": 0
+}
+
    +
    +
    +

    + Same workload, same allocation rate. G1: 20 SLA violations | C4: Zero violations

    @@ -678,6 +838,102 @@

    C4 Behavior

    + +
    +

    Burst Pattern Simulation

    +

    Realistic Market Conditions

    +
    +

    The publisher simulates a 60-second market cycle:

    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    TimeEventRate Multiplier
    0-20sNormal trading1x
    20-25sNews event spike5x burst
    25-45sNormal trading1x
    45-50sMarket close rush3x spike
    50-60sNormal trading1x
    +

    + Tests GC response to variable load. G1 may trigger mixed collections during bursts; C4 adapts smoothly. +

    +
    + + +
    +

    SLA Violation Tracking

    +

    Real-Time Compliance Monitoring

    +
    +
    +

    Tracked Thresholds

    +
      +
    • < 10ms - Within SLA
      • +
    • > 10ms - Minor violation
      • +
    • > 50ms - Major violation
      • +
    • > 100ms - Critical violation
      • +
    +
    +
    +

    Metrics Collected

    +
      +
    • P50, P95, P99, P999 latency
      • +
    • All-time maximum pause
      • +
    • Total pause count and time
      • +
    • Violation counts by threshold
      • +
    +
    +
    +
    +
    +

    G1GC SLA Stats

    + 
    
+{
+  "totalPauseCount": 164,
+  "totalPauseTimeMs": 799,
+  "violationsOver10ms": 20,
+  "violationsOver50ms": 0,
+  "violationsOver100ms": 0
+}
+
    +
    +
    +

    C4 SLA Stats

    + 
    
+{
+  "totalPauseCount": 665,
+  "totalPauseTimeMs": 52,
+  "violationsOver10ms": 0,
+  "violationsOver50ms": 0,
+  "violationsOver100ms": 0
+}
+
    +
    +
    +
    +

    Business Impact

    @@ -708,7 +964,24 @@

    Cost of a 100ms Pause

    - + +
    +

    Part 4

    +

    Demo & Deployment

    +

    Running and monitoring the application

    +
    + + +
    +

    Live Dashboard

    +

    Real-Time GC Visualization

    + TradeStreamEE Dashboard +

    + WebSocket-connected dashboard showing live message rates, GC pause percentiles, and SLA violations. +

    +
    + +

    Deployment Options

    Running TradeStreamEE

    @@ -742,6 +1015,32 @@

    Comparison Stack

    + +
    +

    Comparison Stack Architecture

    +

    Side-by-Side C4 vs G1 Testing

    + 
    
+┌─────────────────────────┐    ┌─────────────────────────┐
+│   C4 Cluster (Prime)    │    │   G1 Cluster (Temurin)  │
+│   └─ Traefik :8080      │    │   └─ Traefik :9080      │
+│      ├─ instance-1      │    │      ├─ instance-1      │
+│      ├─ instance-2      │    │      ├─ instance-2      │
+│      └─ instance-3      │    │      └─ instance-3      │
+│   JMX: 9010-9012        │    │   JMX: 9020-9022        │
+└───────────┬─────────────┘    └───────────┬─────────────┘
+            │                              │
+            └──────────┬───────────────────┘
+                       ▼
+              ┌────────────────┐
+              │   Prometheus   │──▶ Grafana :3000
+              │    :9090       │
+              └────────────────┘
+
    +

    + Both clusters run identical workloads. JMX Exporter exposes GC metrics to Prometheus. +

    +
    +

    Stress Testing API

    @@ -777,33 +1076,33 @@

    Technology Stack

    Runtime - Azul Platform Prime - C4 pauseless garbage collection + Azul Platform Prime 21 + C4/GPGC pauseless garbage collection App Server - Payara Micro 7 + Payara Micro 7.2025.2 Jakarta EE 11 container Transport - Aeron IPC - Shared memory messaging + Aeron 1.46.7 + Shared memory IPC messaging Encoding - SBE + SBE 1.34.0 Zero-copy binary serialization Clustering - Hazelcast - Distributed state and discovery + Hazelcast 5.5.0 + Distributed topics and CP subsystem Monitoring Prometheus + Grafana - Metrics and visualization + JMX metrics and visualization
    @@ -813,11 +1112,11 @@

    Technology Stack

    Key Takeaways

    1. G1's stop-the-world pauses are architectural - no tuning eliminates them
      2. -
    2. C4 collects concurrently - application never stops
      3. +
    3. C4/GPGC collects concurrently - application never stops
    4. Pause time in G1 scales with live set - larger heaps = longer pauses
    5. C4 pause time is constant - regardless of heap or live set size
    6. Remembered sets add overhead in G1 - cross-gen refs trigger write barriers
      7. -
    7. C4 has no generations - no remembered sets, no barrier overhead
      8. +
    8. C4 collects generations concurrently - no STW for generational collection
    9. Scenario-based testing exposes weaknesses - targeted stress reveals true behavior
    10. Enterprise Java can achieve HFT latency - with the right runtime
    @@ -829,12 +1128,12 @@

    Resources

    TradeStreamEE Features

      -
    • Scenario-based GC stress testing (5 scenarios)
      • +
    • Scenario-based GC stress testing (6 allocation modes)
    • Real-time pause time visualization
      • -
    • Side-by-side C4 vs G1 comparison
      • -
    • Zero-copy message pipeline (Aeron + SBE)
      • -
    • Hazelcast clustering support
      • -
    • Prometheus/Grafana monitoring
      • +
    • Side-by-side C4 vs G1 comparison clusters
      • +
    • Zero-copy message pipeline (Aeron 1.46.7 + SBE 1.34.0)
      • +
    • Hazelcast 5.5 clustering with reliable topics
      • +
    • Prometheus/Grafana monitoring stack

    Learn More

    @@ -846,6 +1145,35 @@

    Learn More

    + +
    +

    Lessons Learned

    +

    Practical Insights from Implementation

    +
    +
    +

    What Worked

    +
      +
    • SBE flyweight pattern eliminates allocation
      • +
    • Aeron IPC provides true zero-copy
      • +
    • C4 requires no tuning for consistent pauses
      • +
    • Scenario-based testing reveals real behavior
      • +
    +
    +
    +

    Watch Out For

    +
      +
    • GPGC reports as collector name, not "C4"
      • +
    • WebSocket JSON conversion adds latency
      • +
    • 1-in-50 sampling needed for UI stability
      • +
    • Docker shared memory sizing for Aeron
      • +
    +
    +
    +
    +

    Key Insight: The application code stays simple. The GC choice handles the complexity of memory management without code changes.

    +
    +
    +
    @@ -866,6 +1194,7 @@

    Questions?

    Reveal.initialize({ hash: true, slideNumber: true, + loop: true, transition: 'slide', backgroundTransition: 'fade', plugins: [RevealMarkdown, RevealHighlight, RevealNotes], diff --git a/src/test/java/fish/payara/trader/BasicFunctionalityTest.java b/src/test/java/fish/payara/trader/BasicFunctionalityTest.java index afa5100..3e97c9c 100644 --- a/src/test/java/fish/payara/trader/BasicFunctionalityTest.java +++ b/src/test/java/fish/payara/trader/BasicFunctionalityTest.java @@ -12,75 +12,73 @@ @DisplayName("Basic Functionality Tests") class BasicFunctionalityTest { - @Test - @DisplayName("Should verify allocation modes work correctly") - void shouldVerifyAllocationModesWorkCorrectly() { - // Test AllocationMode enum - assertEquals(AllocationMode.OFF, AllocationMode.valueOf("OFF")); - assertEquals(AllocationMode.STEADY_LOAD, AllocationMode.valueOf("STEADY_LOAD")); - assertEquals(AllocationMode.GROWING_HEAP, AllocationMode.valueOf("GROWING_HEAP")); - assertEquals(AllocationMode.PROMOTION_STORM, AllocationMode.valueOf("PROMOTION_STORM")); - assertEquals(AllocationMode.FRAGMENTATION, AllocationMode.valueOf("FRAGMENTATION")); + @Test + @DisplayName("Should verify allocation modes work correctly") + void shouldVerifyAllocationModesWorkCorrectly() { + // Test AllocationMode enum + assertEquals(AllocationMode.OFF, AllocationMode.valueOf("OFF")); + assertEquals(AllocationMode.STEADY_LOAD, AllocationMode.valueOf("STEADY_LOAD")); + assertEquals(AllocationMode.GROWING_HEAP, AllocationMode.valueOf("GROWING_HEAP")); + assertEquals(AllocationMode.PROMOTION_STORM, AllocationMode.valueOf("PROMOTION_STORM")); + assertEquals(AllocationMode.FRAGMENTATION, AllocationMode.valueOf("FRAGMENTATION")); - // Test allocation rates - assertEquals(0, AllocationMode.OFF.getAllocationRateMBPerSec()); - assertTrue(AllocationMode.STEADY_LOAD.getAllocationRateMBPerSec() > 0); - // Note: STEADY_LOAD rate (200) is > OFF (0) - } + // Test allocation rates + assertEquals(0, AllocationMode.OFF.getAllocationRateMBPerSec()); + assertTrue(AllocationMode.STEADY_LOAD.getAllocationRateMBPerSec() > 0); + // Note: STEADY_LOAD rate (200) is > OFF (0) + } - @Test - @DisplayName("Should initialize memory pressure service without CDI") - void shouldInitializeMemoryPressureServiceWithoutCDI() { - MemoryPressureService service = new MemoryPressureService(); - service.init(); + @Test + @DisplayName("Should initialize memory pressure service without CDI") + void shouldInitializeMemoryPressureServiceWithoutCDI() { + MemoryPressureService service = new MemoryPressureService(); + service.init(); - // Can't test mode changes without CDI injection, but can verify initialization - assertNotNull(service); - assertEquals(AllocationMode.OFF, service.getCurrentMode()); // Default should be OFF - } + // Can't test mode changes without CDI injection, but can verify initialization + assertNotNull(service); + assertEquals(AllocationMode.OFF, service.getCurrentMode()); // Default should be OFF + } - @Test - @DisplayName("Should capture and calculate GC statistics") - void shouldCaptureAndCalculateGCStatistics() { - // Test GC utility functionality - GCTestUtil.GCStatistics beforeStats = GCTestUtil.captureInitialStats(); - assertNotNull(beforeStats); - assertTrue(beforeStats.collections >= 0); - assertTrue(beforeStats.time >= 0); + @Test + @DisplayName("Should capture and calculate GC statistics") + void shouldCaptureAndCalculateGCStatistics() { + // Test GC utility functionality + GCTestUtil.GCStatistics beforeStats = GCTestUtil.captureInitialStats(); + assertNotNull(beforeStats); + assertTrue(beforeStats.collections >= 0); + assertTrue(beforeStats.time >= 0); - // Create some memory pressure - GCTestUtil.allocateMemory(10); // 10MB + // Create some memory pressure + GCTestUtil.allocateMemory(10); // 10MB - GCTestUtil.GCStatistics afterStats = GCTestUtil.calculateDelta(beforeStats); - assertNotNull(afterStats); - assertTrue(afterStats.collections >= 0); - assertTrue(afterStats.time >= 0); - } + GCTestUtil.GCStatistics afterStats = GCTestUtil.calculateDelta(beforeStats); + assertNotNull(afterStats); + assertTrue(afterStats.collections >= 0); + assertTrue(afterStats.time >= 0); + } - @Test - @DisplayName("Should measure operation time correctly") - void shouldMeasureOperationTimeCorrectly() { - long startTime = System.nanoTime(); + @Test + @DisplayName("Should measure operation time correctly") + void shouldMeasureOperationTimeCorrectly() { + long startTime = System.nanoTime(); - // Simulate some work - try { - Thread.sleep(10); - } catch (InterruptedException e) { - Thread.currentThread().interrupt(); - } + // Simulate some work + try { + Thread.sleep(10); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + } - long pauseTime = - GCTestUtil.measurePauseTime( - () -> { - // Simulate GC pause - try { + long pauseTime = GCTestUtil.measurePauseTime(() -> { + // Simulate GC pause + try { Thread.sleep(5); - } catch (InterruptedException e) { + } catch (InterruptedException e) { Thread.currentThread().interrupt(); - } - }); + } + }); - assertTrue(pauseTime >= 0, "Pause time should be non-negative"); - // Note: This might not measure actual GC pause time in all cases, but tests the utility - } + assertTrue(pauseTime >= 0, "Pause time should be non-negative"); + // Note: This might not measure actual GC pause time in all cases, but tests the utility + } } diff --git a/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java b/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java index 90aa3a3..192190a 100644 --- a/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java +++ b/src/test/java/fish/payara/trader/aeron/MarketDataFragmentHandlerTest.java @@ -18,164 +18,166 @@ @ExtendWith(MockitoExtension.class) class MarketDataFragmentHandlerTest { - private MarketDataFragmentHandler handler; + private MarketDataFragmentHandler handler; - @Mock private MarketDataBroadcaster broadcaster; + @Mock + private MarketDataBroadcaster broadcaster; - @Mock private Header header; + @Mock + private Header header; - @BeforeEach - void setUp() { - handler = new MarketDataFragmentHandler(); - handler.broadcaster = broadcaster; - } - - @Test - void testProcessTradeMessage() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - TradeEncoder tradeEncoder = new TradeEncoder(); - - // Send 50 messages to ensure sampling triggers - for (int i = 0; i < 50; i++) { - tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); - tradeEncoder.timestamp(System.currentTimeMillis()); - tradeEncoder.symbol("AAPL"); - tradeEncoder.price(15000); - tradeEncoder.quantity(100); - - int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); - handler.onFragment(buffer, 0, encodedLength, header); + @BeforeEach + void setUp() { + handler = new MarketDataFragmentHandler(); + handler.broadcaster = broadcaster; } - ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); - verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); - - String broadcastedMessage = messageCaptor.getValue(); - assertThat(broadcastedMessage).contains("\"type\":\"trade\""); - assertThat(broadcastedMessage).contains("\"symbol\":\"AAPL\""); - assertThat(broadcastedMessage).contains("\"price\":1.5"); - assertThat(broadcastedMessage).contains("\"quantity\":100"); - } - - @Test - void testProcessQuoteMessage() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - QuoteEncoder quoteEncoder = new QuoteEncoder(); - - // Send 50 messages to ensure sampling triggers - for (int i = 0; i < 50; i++) { - quoteEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); - quoteEncoder.timestamp(System.currentTimeMillis()); - quoteEncoder.symbol("MSFT"); - quoteEncoder.bidPrice(30000); - quoteEncoder.askPrice(30100); - quoteEncoder.bidSize(200); - quoteEncoder.askSize(150); - - int encodedLength = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); - handler.onFragment(buffer, 0, encodedLength, header); + @Test + void testProcessTradeMessage() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + TradeEncoder tradeEncoder = new TradeEncoder(); + + // Send 50 messages to ensure sampling triggers + for (int i = 0; i < 50; i++) { + tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + tradeEncoder.timestamp(System.currentTimeMillis()); + tradeEncoder.symbol("AAPL"); + tradeEncoder.price(15000); + tradeEncoder.quantity(100); + + int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); + } + + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); + + String broadcastedMessage = messageCaptor.getValue(); + assertThat(broadcastedMessage).contains("\"type\":\"trade\""); + assertThat(broadcastedMessage).contains("\"symbol\":\"AAPL\""); + assertThat(broadcastedMessage).contains("\"price\":1.5"); + assertThat(broadcastedMessage).contains("\"quantity\":100"); } - ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); - verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); + @Test + void testProcessQuoteMessage() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + QuoteEncoder quoteEncoder = new QuoteEncoder(); + + // Send 50 messages to ensure sampling triggers + for (int i = 0; i < 50; i++) { + quoteEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + quoteEncoder.timestamp(System.currentTimeMillis()); + quoteEncoder.symbol("MSFT"); + quoteEncoder.bidPrice(30000); + quoteEncoder.askPrice(30100); + quoteEncoder.bidSize(200); + quoteEncoder.askSize(150); + + int encodedLength = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); + } + + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); + + String broadcastedMessage = messageCaptor.getValue(); + assertThat(broadcastedMessage).contains("\"type\":\"quote\""); + assertThat(broadcastedMessage).contains("\"symbol\":\"MSFT\""); + assertThat(broadcastedMessage).contains("\"bid\":{\"price\":3.0"); + assertThat(broadcastedMessage).contains("\"ask\":{\"price\":3.01"); + } - String broadcastedMessage = messageCaptor.getValue(); - assertThat(broadcastedMessage).contains("\"type\":\"quote\""); - assertThat(broadcastedMessage).contains("\"symbol\":\"MSFT\""); - assertThat(broadcastedMessage).contains("\"bid\":{\"price\":3.0"); - assertThat(broadcastedMessage).contains("\"ask\":{\"price\":3.01"); - } + @Test + void testProcessHeartbeatMessage() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - @Test - void testProcessHeartbeatMessage() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + HeartbeatEncoder heartbeatEncoder = new HeartbeatEncoder(); - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - HeartbeatEncoder heartbeatEncoder = new HeartbeatEncoder(); + heartbeatEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + heartbeatEncoder.timestamp(System.currentTimeMillis()); - heartbeatEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); - heartbeatEncoder.timestamp(System.currentTimeMillis()); + int encodedLength = headerEncoder.encodedLength() + heartbeatEncoder.encodedLength(); - int encodedLength = headerEncoder.encodedLength() + heartbeatEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); - handler.onFragment(buffer, 0, encodedLength, header); + verify(broadcaster, never()).broadcast(any()); + } - verify(broadcaster, never()).broadcast(any()); - } + @Test + void testMessageSampling() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - @Test - void testMessageSampling() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + TradeEncoder tradeEncoder = new TradeEncoder(); - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - TradeEncoder tradeEncoder = new TradeEncoder(); + for (int i = 0; i < 100; i++) { + tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + tradeEncoder.timestamp(System.currentTimeMillis()); + tradeEncoder.symbol("TEST"); + tradeEncoder.price(10000 + i); + tradeEncoder.quantity(100); - for (int i = 0; i < 100; i++) { - tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); - tradeEncoder.timestamp(System.currentTimeMillis()); - tradeEncoder.symbol("TEST"); - tradeEncoder.price(10000 + i); - tradeEncoder.quantity(100); + int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); + } - int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); - handler.onFragment(buffer, 0, encodedLength, header); + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, times(2)).broadcast(messageCaptor.capture()); } - ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); - verify(broadcaster, times(2)).broadcast(messageCaptor.capture()); - } + @Test + void testInvalidTemplateId() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - @Test - void testInvalidTemplateId() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + headerEncoder.wrap(buffer, 0); + headerEncoder.blockLength(0); + headerEncoder.templateId(9999); + headerEncoder.schemaId(1); + headerEncoder.version(0); - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - headerEncoder.wrap(buffer, 0); - headerEncoder.blockLength(0); - headerEncoder.templateId(9999); - headerEncoder.schemaId(1); - headerEncoder.version(0); + int encodedLength = headerEncoder.encodedLength(); - int encodedLength = headerEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); - handler.onFragment(buffer, 0, encodedLength, header); + verify(broadcaster, never()).broadcast(any()); + } - verify(broadcaster, never()).broadcast(any()); - } + @Test + void testPriceConversion() { + ByteBuffer byteBuffer = ByteBuffer.allocate(256); + UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); - @Test - void testPriceConversion() { - ByteBuffer byteBuffer = ByteBuffer.allocate(256); - UnsafeBuffer buffer = new UnsafeBuffer(byteBuffer); + MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); + TradeEncoder tradeEncoder = new TradeEncoder(); - MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); - TradeEncoder tradeEncoder = new TradeEncoder(); + // Send 50 messages to ensure sampling triggers + for (int i = 0; i < 50; i++) { + tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); + tradeEncoder.timestamp(System.currentTimeMillis()); + tradeEncoder.symbol("XYZ"); + tradeEncoder.price(123456); + tradeEncoder.quantity(1); - // Send 50 messages to ensure sampling triggers - for (int i = 0; i < 50; i++) { - tradeEncoder.wrapAndApplyHeader(buffer, 0, headerEncoder); - tradeEncoder.timestamp(System.currentTimeMillis()); - tradeEncoder.symbol("XYZ"); - tradeEncoder.price(123456); - tradeEncoder.quantity(1); + int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); + handler.onFragment(buffer, 0, encodedLength, header); + } - int encodedLength = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); - handler.onFragment(buffer, 0, encodedLength, header); - } + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); - ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); - verify(broadcaster, atLeastOnce()).broadcast(messageCaptor.capture()); - - String broadcastedMessage = messageCaptor.getValue(); - assertThat(broadcastedMessage).contains("\"price\":12.3456"); - } + String broadcastedMessage = messageCaptor.getValue(); + assertThat(broadcastedMessage).contains("\"price\":12.3456"); + } } diff --git a/src/test/java/fish/payara/trader/concurrency/ConcurrencyConfigTest.java b/src/test/java/fish/payara/trader/concurrency/ConcurrencyConfigTest.java index 4fa300b..e07b89b 100644 --- a/src/test/java/fish/payara/trader/concurrency/ConcurrencyConfigTest.java +++ b/src/test/java/fish/payara/trader/concurrency/ConcurrencyConfigTest.java @@ -11,302 +11,249 @@ @DisplayName("ConcurrencyConfig Tests") class ConcurrencyConfigTest { - @Test - @DisplayName("Should have ApplicationScoped annotation") - void shouldHaveApplicationScopedAnnotation() { - // Act - ApplicationScoped annotation = ConcurrencyConfig.class.getAnnotation(ApplicationScoped.class); - - // Assert - assertNotNull(annotation, "ApplicationScoped annotation should be present"); - } - - @Test - @DisplayName("Should have ManagedExecutorDefinition annotation") - void shouldHaveManagedExecutorDefinitionAnnotation() { - // Act - ManagedExecutorDefinition annotation = - ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); - - // Assert - assertNotNull(annotation, "ManagedExecutorDefinition annotation should be present"); - } - - @Test - @DisplayName("Should have correct executor definition properties") - void shouldHaveCorrectExecutorDefinitionProperties() { - // Act - ManagedExecutorDefinition annotation = - ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); - - // Assert - assertNotNull(annotation, "Annotation should be present"); - - // Check executor name - assertEquals( - "java:module/concurrent/VirtualThreadExecutor", - annotation.name(), - "Executor name should match expected value"); - - // Check virtual threads enabled - assertTrue(annotation.virtual(), "Virtual threads should be enabled"); - - // Check qualifiers - assertEquals(1, annotation.qualifiers().length, "Should have exactly one qualifier"); - assertEquals( - VirtualThreadExecutor.class, - annotation.qualifiers()[0], - "Should use VirtualThreadExecutor qualifier"); - } - - @Test - @DisplayName("Should be a concrete class") - void shouldBeAConcreteClass() { - // Assert - assertFalse( - ConcurrencyConfig.class.isInterface(), "ConcurrencyConfig should be a concrete class"); - assertFalse( - java.lang.reflect.Modifier.isAbstract(ConcurrencyConfig.class.getModifiers()), - "ConcurrencyConfig should not be abstract"); - assertTrue( - ConcurrencyConfig.class.isSynthetic() == false, - "ConcurrencyConfig should not be synthetic"); - } - - @Test - @DisplayName("Should be in correct package") - void shouldBeInCorrectPackage() { - // Assert - assertEquals( - "fish.payara.trader.concurrency", - ConcurrencyConfig.class.getPackage().getName(), - "Should be in fish.payara.trader.concurrency package"); - } - - @Test - @DisplayName("Should have correct simple name") - void shouldHaveCorrectSimpleName() { - // Assert - assertEquals( - "ConcurrencyConfig", - ConcurrencyConfig.class.getSimpleName(), - "Should have correct simple name"); - } - - @Test - @DisplayName("Should have public default constructor") - void shouldHavePublicDefaultConstructor() { - // Act - java.lang.reflect.Constructor[] constructors = ConcurrencyConfig.class.getConstructors(); - - // Assert - assertTrue(constructors.length > 0, "Should have at least one constructor"); - - // Should have a public no-args constructor - boolean hasPublicNoArgsConstructor = false; - for (java.lang.reflect.Constructor constructor : constructors) { - if (constructor.getParameterCount() == 0 - && java.lang.reflect.Modifier.isPublic(constructor.getModifiers())) { - hasPublicNoArgsConstructor = true; - break; - } + @Test + @DisplayName("Should have ApplicationScoped annotation") + void shouldHaveApplicationScopedAnnotation() { + // Act + ApplicationScoped annotation = ConcurrencyConfig.class.getAnnotation(ApplicationScoped.class); + + // Assert + assertNotNull(annotation, "ApplicationScoped annotation should be present"); } - assertTrue(hasPublicNoArgsConstructor, "Should have a public no-args constructor"); - } - - @Test - @DisplayName("Should create instances successfully") - void shouldCreateInstancesSuccessfully() { - // Act & Assert - assertDoesNotThrow( - () -> { - ConcurrencyConfig config = new ConcurrencyConfig(); - assertNotNull(config, "Should create instance without throwing exception"); - }, - "Should be able to create instance"); - } - - @Test - @DisplayName("Should not implement any interfaces") - void shouldNotImplementAnyInterfaces() { - // Act - Class[] interfaces = ConcurrencyConfig.class.getInterfaces(); - - // Assert - assertEquals(0, interfaces.length, "Should not implement any interfaces"); - } - - @Test - @DisplayName("Should have correct inheritance hierarchy") - void shouldHaveCorrectInheritanceHierarchy() { - // Act - Class superClass = ConcurrencyConfig.class.getSuperclass(); - - // Assert - assertEquals(Object.class, superClass, "Should extend Object class directly"); - } - - @Test - @DisplayName("Should be annotated with proper lifecycle scope") - void shouldBeAnnotatedWithProperLifecycleScope() { - // Act - ApplicationScoped applicationScoped = - ConcurrencyConfig.class.getAnnotation(ApplicationScoped.class); - - // Assert - assertNotNull(applicationScoped, "Should have ApplicationScoped annotation"); - assertEquals( - "jakarta.enterprise.context.ApplicationScoped", - applicationScoped.annotationType().getName(), - "Should use Jakarta EE ApplicationScoped"); - } - - @Test - @DisplayName("Should configure virtual threads for executor") - void shouldConfigureVirtualThreadsForExecutor() { - // Act - ManagedExecutorDefinition annotation = - ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); - - // Assert - assertNotNull(annotation, "Should have ManagedExecutorDefinition"); - assertTrue(annotation.virtual(), "Should enable virtual threads"); - assertEquals( - "java:module/concurrent/VirtualThreadExecutor", - annotation.name(), - "Should use specific jndi name for virtual thread executor"); - } - - @Test - @DisplayName("Should have VirtualThreadExecutor qualifier") - void shouldHaveVirtualThreadExecutorQualifier() { - // Act - ManagedExecutorDefinition annotation = - ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); - - // Assert - assertNotNull(annotation.qualifiers(), "Qualifiers array should not be null"); - assertEquals(1, annotation.qualifiers().length, "Should have exactly one qualifier"); - assertEquals( - VirtualThreadExecutor.class, - annotation.qualifiers()[0], - "Should use VirtualThreadExecutor as qualifier"); - } - - @Test - @DisplayName("Should have correct JNDI name pattern") - void shouldHaveCorrectJNDINamePattern() { - // Act - ManagedExecutorDefinition annotation = - ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); - String jndiName = annotation.name(); - - // Assert - assertNotNull(jndiName, "JNDI name should not be null"); - assertEquals( - "java:module/concurrent/VirtualThreadExecutor", - jndiName, - "JNDI name should follow expected pattern"); - assertTrue( - jndiName.startsWith("java:module/concurrent/"), - "JNDI name should start with expected prefix"); - assertTrue( - jndiName.endsWith("VirtualThreadExecutor"), "JNDI name should end with expected suffix"); - assertFalse(jndiName.trim().isEmpty(), "JNDI name should not be empty"); - } - - @Test - @DisplayName("Should have no declared fields") - void shouldHaveNoDeclaredFields() { - // Act - java.lang.reflect.Field[] fields = ConcurrencyConfig.class.getDeclaredFields(); - - // Assert - assertEquals(0, fields.length, "Should have no declared fields"); - } - - @Test - @DisplayName("Should have no declared methods") - void shouldHaveNoDeclaredMethods() { - // Act - java.lang.reflect.Method[] methods = ConcurrencyConfig.class.getDeclaredMethods(); - - // Assert - // Java compiler may add synthetic methods, so we check for user-declared methods - long userMethods = - java.util.Arrays.stream(methods).filter(method -> !method.isSynthetic()).count(); - assertEquals(0, userMethods, "Should have no user-declared methods"); - } - - @Test - @DisplayName("Should have exactly two annotations") - void shouldHaveExactlyTwoAnnotations() { - // Act - java.lang.annotation.Annotation[] annotations = ConcurrencyConfig.class.getAnnotations(); - - // Assert - assertEquals(2, annotations.length, "Should have exactly two annotations"); - - // Verify annotation types - boolean hasApplicationScoped = false; - boolean hasManagedExecutorDefinition = false; - - for (java.lang.annotation.Annotation annotation : annotations) { - if (annotation instanceof ApplicationScoped) { - hasApplicationScoped = true; - } else if (annotation instanceof ManagedExecutorDefinition) { - hasManagedExecutorDefinition = true; - } + @Test + @DisplayName("Should have ManagedExecutorDefinition annotation") + void shouldHaveManagedExecutorDefinitionAnnotation() { + // Act + ManagedExecutorDefinition annotation = ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + + // Assert + assertNotNull(annotation, "ManagedExecutorDefinition annotation should be present"); + } + + @Test + @DisplayName("Should have correct executor definition properties") + void shouldHaveCorrectExecutorDefinitionProperties() { + // Act + ManagedExecutorDefinition annotation = ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + + // Assert + assertNotNull(annotation, "Annotation should be present"); + + // Check executor name + assertEquals("java:module/concurrent/VirtualThreadExecutor", annotation.name(), "Executor name should match expected value"); + + // Check virtual threads enabled + assertTrue(annotation.virtual(), "Virtual threads should be enabled"); + + // Check qualifiers + assertEquals(1, annotation.qualifiers().length, "Should have exactly one qualifier"); + assertEquals(VirtualThreadExecutor.class, annotation.qualifiers()[0], "Should use VirtualThreadExecutor qualifier"); + } + + @Test + @DisplayName("Should be a concrete class") + void shouldBeAConcreteClass() { + // Assert + assertFalse(ConcurrencyConfig.class.isInterface(), "ConcurrencyConfig should be a concrete class"); + assertFalse(java.lang.reflect.Modifier.isAbstract(ConcurrencyConfig.class.getModifiers()), "ConcurrencyConfig should not be abstract"); + assertTrue(ConcurrencyConfig.class.isSynthetic() == false, "ConcurrencyConfig should not be synthetic"); + } + + @Test + @DisplayName("Should be in correct package") + void shouldBeInCorrectPackage() { + // Assert + assertEquals("fish.payara.trader.concurrency", ConcurrencyConfig.class.getPackage().getName(), "Should be in fish.payara.trader.concurrency package"); + } + + @Test + @DisplayName("Should have correct simple name") + void shouldHaveCorrectSimpleName() { + // Assert + assertEquals("ConcurrencyConfig", ConcurrencyConfig.class.getSimpleName(), "Should have correct simple name"); + } + + @Test + @DisplayName("Should have public default constructor") + void shouldHavePublicDefaultConstructor() { + // Act + java.lang.reflect.Constructor[] constructors = ConcurrencyConfig.class.getConstructors(); + + // Assert + assertTrue(constructors.length > 0, "Should have at least one constructor"); + + // Should have a public no-args constructor + boolean hasPublicNoArgsConstructor = false; + for (java.lang.reflect.Constructor constructor : constructors) { + if (constructor.getParameterCount() == 0 && java.lang.reflect.Modifier.isPublic(constructor.getModifiers())) { + hasPublicNoArgsConstructor = true; + break; + } + } + + assertTrue(hasPublicNoArgsConstructor, "Should have a public no-args constructor"); + } + + @Test + @DisplayName("Should create instances successfully") + void shouldCreateInstancesSuccessfully() { + // Act & Assert + assertDoesNotThrow(() -> { + ConcurrencyConfig config = new ConcurrencyConfig(); + assertNotNull(config, "Should create instance without throwing exception"); + }, "Should be able to create instance"); + } + + @Test + @DisplayName("Should not implement any interfaces") + void shouldNotImplementAnyInterfaces() { + // Act + Class[] interfaces = ConcurrencyConfig.class.getInterfaces(); + + // Assert + assertEquals(0, interfaces.length, "Should not implement any interfaces"); + } + + @Test + @DisplayName("Should have correct inheritance hierarchy") + void shouldHaveCorrectInheritanceHierarchy() { + // Act + Class superClass = ConcurrencyConfig.class.getSuperclass(); + + // Assert + assertEquals(Object.class, superClass, "Should extend Object class directly"); + } + + @Test + @DisplayName("Should be annotated with proper lifecycle scope") + void shouldBeAnnotatedWithProperLifecycleScope() { + // Act + ApplicationScoped applicationScoped = ConcurrencyConfig.class.getAnnotation(ApplicationScoped.class); + + // Assert + assertNotNull(applicationScoped, "Should have ApplicationScoped annotation"); + assertEquals("jakarta.enterprise.context.ApplicationScoped", applicationScoped.annotationType().getName(), "Should use Jakarta EE ApplicationScoped"); + } + + @Test + @DisplayName("Should configure virtual threads for executor") + void shouldConfigureVirtualThreadsForExecutor() { + // Act + ManagedExecutorDefinition annotation = ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + + // Assert + assertNotNull(annotation, "Should have ManagedExecutorDefinition"); + assertTrue(annotation.virtual(), "Should enable virtual threads"); + assertEquals("java:module/concurrent/VirtualThreadExecutor", annotation.name(), "Should use specific jndi name for virtual thread executor"); + } + + @Test + @DisplayName("Should have VirtualThreadExecutor qualifier") + void shouldHaveVirtualThreadExecutorQualifier() { + // Act + ManagedExecutorDefinition annotation = ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + + // Assert + assertNotNull(annotation.qualifiers(), "Qualifiers array should not be null"); + assertEquals(1, annotation.qualifiers().length, "Should have exactly one qualifier"); + assertEquals(VirtualThreadExecutor.class, annotation.qualifiers()[0], "Should use VirtualThreadExecutor as qualifier"); } - assertTrue(hasApplicationScoped, "Should have ApplicationScoped annotation"); - assertTrue(hasManagedExecutorDefinition, "Should have ManagedExecutorDefinition annotation"); - } - - @Test - @DisplayName("Should be suitable for CDI bean registration") - void shouldBeSuitableForCDIBeanRegistration() { - // Act & Assert - This test verifies that the class has the right properties - // for CDI bean registration - - // Should have ApplicationScoped annotation - ApplicationScoped applicationScoped = - ConcurrencyConfig.class.getAnnotation(ApplicationScoped.class); - assertNotNull(applicationScoped, "Should have ApplicationScoped for CDI"); - - // Should have ManagedExecutorDefinition for executor configuration - ManagedExecutorDefinition managedExecutorDefinition = - ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); - assertNotNull(managedExecutorDefinition, "Should have ManagedExecutorDefinition for CDI"); - - // Should be a concrete class with public constructor - assertDoesNotThrow( - () -> { - new ConcurrencyConfig(); - }, - "Should be instantiable by CDI"); - } - - @Test - @DisplayName("Should be properly configured for virtual threads") - void shouldBeProperlyConfiguredForVirtualThreads() { - // Act - ManagedExecutorDefinition definition = - ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); - - // Assert - assertTrue(definition.virtual(), "Should enable virtual threads"); - assertEquals( - "java:module/concurrent/VirtualThreadExecutor", - definition.name(), - "Should have correct JNDI name for virtual threads"); - - // Verify it uses VirtualThreadExecutor qualifier - assertEquals(1, definition.qualifiers().length); - assertEquals( - VirtualThreadExecutor.class, - definition.qualifiers()[0], - "Should use VirtualThreadExecutor qualifier"); - } + @Test + @DisplayName("Should have correct JNDI name pattern") + void shouldHaveCorrectJNDINamePattern() { + // Act + ManagedExecutorDefinition annotation = ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + String jndiName = annotation.name(); + + // Assert + assertNotNull(jndiName, "JNDI name should not be null"); + assertEquals("java:module/concurrent/VirtualThreadExecutor", jndiName, "JNDI name should follow expected pattern"); + assertTrue(jndiName.startsWith("java:module/concurrent/"), "JNDI name should start with expected prefix"); + assertTrue(jndiName.endsWith("VirtualThreadExecutor"), "JNDI name should end with expected suffix"); + assertFalse(jndiName.trim().isEmpty(), "JNDI name should not be empty"); + } + + @Test + @DisplayName("Should have no declared fields") + void shouldHaveNoDeclaredFields() { + // Act + java.lang.reflect.Field[] fields = ConcurrencyConfig.class.getDeclaredFields(); + + // Assert + assertEquals(0, fields.length, "Should have no declared fields"); + } + + @Test + @DisplayName("Should have no declared methods") + void shouldHaveNoDeclaredMethods() { + // Act + java.lang.reflect.Method[] methods = ConcurrencyConfig.class.getDeclaredMethods(); + + // Assert + // Java compiler may add synthetic methods, so we check for user-declared methods + long userMethods = java.util.Arrays.stream(methods).filter(method -> !method.isSynthetic()).count(); + assertEquals(0, userMethods, "Should have no user-declared methods"); + } + + @Test + @DisplayName("Should have exactly two annotations") + void shouldHaveExactlyTwoAnnotations() { + // Act + java.lang.annotation.Annotation[] annotations = ConcurrencyConfig.class.getAnnotations(); + + // Assert + assertEquals(2, annotations.length, "Should have exactly two annotations"); + + // Verify annotation types + boolean hasApplicationScoped = false; + boolean hasManagedExecutorDefinition = false; + + for (java.lang.annotation.Annotation annotation : annotations) { + if (annotation instanceof ApplicationScoped) { + hasApplicationScoped = true; + } else if (annotation instanceof ManagedExecutorDefinition) { + hasManagedExecutorDefinition = true; + } + } + + assertTrue(hasApplicationScoped, "Should have ApplicationScoped annotation"); + assertTrue(hasManagedExecutorDefinition, "Should have ManagedExecutorDefinition annotation"); + } + + @Test + @DisplayName("Should be suitable for CDI bean registration") + void shouldBeSuitableForCDIBeanRegistration() { + // Act & Assert - This test verifies that the class has the right properties + // for CDI bean registration + + // Should have ApplicationScoped annotation + ApplicationScoped applicationScoped = ConcurrencyConfig.class.getAnnotation(ApplicationScoped.class); + assertNotNull(applicationScoped, "Should have ApplicationScoped for CDI"); + + // Should have ManagedExecutorDefinition for executor configuration + ManagedExecutorDefinition managedExecutorDefinition = ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + assertNotNull(managedExecutorDefinition, "Should have ManagedExecutorDefinition for CDI"); + + // Should be a concrete class with public constructor + assertDoesNotThrow(() -> { + new ConcurrencyConfig(); + }, "Should be instantiable by CDI"); + } + + @Test + @DisplayName("Should be properly configured for virtual threads") + void shouldBeProperlyConfiguredForVirtualThreads() { + // Act + ManagedExecutorDefinition definition = ConcurrencyConfig.class.getAnnotation(ManagedExecutorDefinition.class); + + // Assert + assertTrue(definition.virtual(), "Should enable virtual threads"); + assertEquals("java:module/concurrent/VirtualThreadExecutor", definition.name(), "Should have correct JNDI name for virtual threads"); + + // Verify it uses VirtualThreadExecutor qualifier + assertEquals(1, definition.qualifiers().length); + assertEquals(VirtualThreadExecutor.class, definition.qualifiers()[0], "Should use VirtualThreadExecutor qualifier"); + } } diff --git a/src/test/java/fish/payara/trader/concurrency/VirtualThreadExecutorTest.java b/src/test/java/fish/payara/trader/concurrency/VirtualThreadExecutorTest.java index 0e4ce7f..768c881 100644 --- a/src/test/java/fish/payara/trader/concurrency/VirtualThreadExecutorTest.java +++ b/src/test/java/fish/payara/trader/concurrency/VirtualThreadExecutorTest.java @@ -14,194 +14,183 @@ @DisplayName("VirtualThreadExecutor Tests") class VirtualThreadExecutorTest { - @Test - @DisplayName("Should have correct annotation properties") - void shouldHaveCorrectAnnotationProperties() { - // Act - an annotation cannot annotate itself, so we test its properties instead - Class annotationType = VirtualThreadExecutor.class; - - // Assert - assertTrue(annotationType.isAnnotation(), "VirtualThreadExecutor should be an annotation type"); - assertNotNull(annotationType, "VirtualThreadExecutor class should be present"); - } - - @Test - @DisplayName("Should have Qualifier annotation") - void shouldHaveQualifierAnnotation() { - // Act - Qualifier qualifier = VirtualThreadExecutor.class.getAnnotation(Qualifier.class); - - // Assert - assertNotNull(qualifier, "VirtualThreadExecutor should have Qualifier annotation"); - } - - @Test - @DisplayName("Should have correct target types") - void shouldHaveCorrectTargetTypes() { - // Act - Target target = VirtualThreadExecutor.class.getAnnotation(Target.class); - - // Assert - assertNotNull(target, "Target annotation should be present"); - ElementType[] elementTypes = target.value(); - - assertTrue(containsTarget(elementTypes, ElementType.METHOD), "Should target METHOD"); - assertTrue(containsTarget(elementTypes, ElementType.FIELD), "Should target FIELD"); - assertTrue(containsTarget(elementTypes, ElementType.PARAMETER), "Should target PARAMETER"); - assertTrue(containsTarget(elementTypes, ElementType.TYPE), "Should target TYPE"); - } - - @Test - @DisplayName("Should have correct retention policy") - void shouldHaveCorrectRetentionPolicy() { - // Act - Retention retention = VirtualThreadExecutor.class.getAnnotation(Retention.class); - - // Assert - assertNotNull(retention, "Retention annotation should be present"); - assertEquals( - RetentionPolicy.RUNTIME, retention.value(), "Should have RUNTIME retention policy"); - } - - @Test - @DisplayName("Should be an interface") - void shouldBeAnInterface() { - // Assert - assertTrue( - VirtualThreadExecutor.class.isInterface(), "VirtualThreadExecutor should be an interface"); - } - - @Test - @DisplayName("Should be in correct package") - void shouldBeInCorrectPackage() { - // Assert - assertEquals( - "fish.payara.trader.concurrency", - VirtualThreadExecutor.class.getPackage().getName(), - "Should be in fish.payara.trader.concurrency package"); - } - - @Test - @DisplayName("Should have correct simple name") - void shouldHaveCorrectSimpleName() { - // Assert - assertEquals( - "VirtualThreadExecutor", - VirtualThreadExecutor.class.getSimpleName(), - "Should have correct simple name"); - } - - @Test - @DisplayName("Should be an annotation interface") - void shouldBeAnAnnotationInterface() { - // Act - boolean isAnnotation = VirtualThreadExecutor.class.isAnnotation(); - - // Assert - assertTrue(isAnnotation, "VirtualThreadExecutor should be an annotation interface"); - } - - @Test - @DisplayName("Should have no declared methods") - void shouldHaveNoDeclaredMethods() { - // Act - java.lang.reflect.Method[] methods = VirtualThreadExecutor.class.getDeclaredMethods(); - - // Assert - assertEquals(0, methods.length, "Should have no declared methods"); - } - - @Test - @DisplayName("Should have no declared fields") - void shouldHaveNoDeclaredFields() { - // Act - java.lang.reflect.Field[] fields = VirtualThreadExecutor.class.getDeclaredFields(); - - // Assert - assertEquals(0, fields.length, "Should have no declared fields"); - } - - @Test - @DisplayName("Should have no declared constructors") - void shouldHaveNoDeclaredConstructors() { - // Act - java.lang.reflect.Constructor[] constructors = - VirtualThreadExecutor.class.getDeclaredConstructors(); - - // Assert - assertEquals(0, constructors.length, "Should have no declared constructors"); - } - - @Test - @DisplayName("Should have no declared annotations except standard ones") - void shouldHaveNoDeclaredAnnotationsExceptStandardOnes() { - // Act - java.lang.annotation.Annotation[] annotations = - VirtualThreadExecutor.class.getDeclaredAnnotations(); - - // Assert - // Should have exactly 3 annotations: @Target, @Retention, @Qualifier - assertEquals(3, annotations.length, "Should have exactly 3 declared annotations"); - - // Verify the types of annotations - boolean hasTarget = false; - boolean hasRetention = false; - boolean hasQualifier = false; - - for (java.lang.annotation.Annotation annotation : annotations) { - if (annotation instanceof Target) { - hasTarget = true; - } else if (annotation instanceof Retention) { - hasRetention = true; - } else if (annotation instanceof Qualifier) { - hasQualifier = true; - } + @Test + @DisplayName("Should have correct annotation properties") + void shouldHaveCorrectAnnotationProperties() { + // Act - an annotation cannot annotate itself, so we test its properties instead + Class annotationType = VirtualThreadExecutor.class; + + // Assert + assertTrue(annotationType.isAnnotation(), "VirtualThreadExecutor should be an annotation type"); + assertNotNull(annotationType, "VirtualThreadExecutor class should be present"); } - assertTrue(hasTarget, "Should have @Target annotation"); - assertTrue(hasRetention, "Should have @Retention annotation"); - assertTrue(hasQualifier, "Should have @Qualifier annotation"); - } - - @Test - @DisplayName("Should be suitable for dependency injection") - void shouldBeSuitableForDependencyInjection() { - // Act & Assert - This test verifies that the annotation has the right properties - // for use in CDI/dependency injection frameworks - - // Should be a qualifier annotation (jakarta.inject.Qualifier) - Qualifier qualifier = VirtualThreadExecutor.class.getAnnotation(Qualifier.class); - assertNotNull(qualifier, "Should be a CDI Qualifier annotation"); - - // Should be retained at runtime for injection - Retention retention = VirtualThreadExecutor.class.getAnnotation(Retention.class); - assertEquals( - RetentionPolicy.RUNTIME, retention.value(), "Should be retained at runtime for injection"); - } - - @Test - @DisplayName("Should have descriptive documentation") - void shouldHaveDescriptiveDocumentation() { - // Act - String className = VirtualThreadExecutor.class.getSimpleName(); - Package pkg = VirtualThreadExecutor.class.getPackage(); - - // Assert - assertEquals("VirtualThreadExecutor", className, "Should have descriptive name"); - assertEquals( - "fish.payara.trader.concurrency", pkg.getName(), "Should be in meaningful package"); - - // Note: We can't easily test javadoc content without additional libraries, - // but we can verify that the class is documented by its existence and naming - } - - /** Helper method to check if target array contains specific element type */ - private boolean containsTarget(ElementType[] targets, ElementType targetType) { - for (ElementType target : targets) { - if (target == targetType) { - return true; - } + @Test + @DisplayName("Should have Qualifier annotation") + void shouldHaveQualifierAnnotation() { + // Act + Qualifier qualifier = VirtualThreadExecutor.class.getAnnotation(Qualifier.class); + + // Assert + assertNotNull(qualifier, "VirtualThreadExecutor should have Qualifier annotation"); + } + + @Test + @DisplayName("Should have correct target types") + void shouldHaveCorrectTargetTypes() { + // Act + Target target = VirtualThreadExecutor.class.getAnnotation(Target.class); + + // Assert + assertNotNull(target, "Target annotation should be present"); + ElementType[] elementTypes = target.value(); + + assertTrue(containsTarget(elementTypes, ElementType.METHOD), "Should target METHOD"); + assertTrue(containsTarget(elementTypes, ElementType.FIELD), "Should target FIELD"); + assertTrue(containsTarget(elementTypes, ElementType.PARAMETER), "Should target PARAMETER"); + assertTrue(containsTarget(elementTypes, ElementType.TYPE), "Should target TYPE"); + } + + @Test + @DisplayName("Should have correct retention policy") + void shouldHaveCorrectRetentionPolicy() { + // Act + Retention retention = VirtualThreadExecutor.class.getAnnotation(Retention.class); + + // Assert + assertNotNull(retention, "Retention annotation should be present"); + assertEquals(RetentionPolicy.RUNTIME, retention.value(), "Should have RUNTIME retention policy"); + } + + @Test + @DisplayName("Should be an interface") + void shouldBeAnInterface() { + // Assert + assertTrue(VirtualThreadExecutor.class.isInterface(), "VirtualThreadExecutor should be an interface"); + } + + @Test + @DisplayName("Should be in correct package") + void shouldBeInCorrectPackage() { + // Assert + assertEquals("fish.payara.trader.concurrency", VirtualThreadExecutor.class.getPackage().getName(), + "Should be in fish.payara.trader.concurrency package"); + } + + @Test + @DisplayName("Should have correct simple name") + void shouldHaveCorrectSimpleName() { + // Assert + assertEquals("VirtualThreadExecutor", VirtualThreadExecutor.class.getSimpleName(), "Should have correct simple name"); + } + + @Test + @DisplayName("Should be an annotation interface") + void shouldBeAnAnnotationInterface() { + // Act + boolean isAnnotation = VirtualThreadExecutor.class.isAnnotation(); + + // Assert + assertTrue(isAnnotation, "VirtualThreadExecutor should be an annotation interface"); + } + + @Test + @DisplayName("Should have no declared methods") + void shouldHaveNoDeclaredMethods() { + // Act + java.lang.reflect.Method[] methods = VirtualThreadExecutor.class.getDeclaredMethods(); + + // Assert + assertEquals(0, methods.length, "Should have no declared methods"); + } + + @Test + @DisplayName("Should have no declared fields") + void shouldHaveNoDeclaredFields() { + // Act + java.lang.reflect.Field[] fields = VirtualThreadExecutor.class.getDeclaredFields(); + + // Assert + assertEquals(0, fields.length, "Should have no declared fields"); + } + + @Test + @DisplayName("Should have no declared constructors") + void shouldHaveNoDeclaredConstructors() { + // Act + java.lang.reflect.Constructor[] constructors = VirtualThreadExecutor.class.getDeclaredConstructors(); + + // Assert + assertEquals(0, constructors.length, "Should have no declared constructors"); + } + + @Test + @DisplayName("Should have no declared annotations except standard ones") + void shouldHaveNoDeclaredAnnotationsExceptStandardOnes() { + // Act + java.lang.annotation.Annotation[] annotations = VirtualThreadExecutor.class.getDeclaredAnnotations(); + + // Assert + // Should have exactly 3 annotations: @Target, @Retention, @Qualifier + assertEquals(3, annotations.length, "Should have exactly 3 declared annotations"); + + // Verify the types of annotations + boolean hasTarget = false; + boolean hasRetention = false; + boolean hasQualifier = false; + + for (java.lang.annotation.Annotation annotation : annotations) { + if (annotation instanceof Target) { + hasTarget = true; + } else if (annotation instanceof Retention) { + hasRetention = true; + } else if (annotation instanceof Qualifier) { + hasQualifier = true; + } + } + + assertTrue(hasTarget, "Should have @Target annotation"); + assertTrue(hasRetention, "Should have @Retention annotation"); + assertTrue(hasQualifier, "Should have @Qualifier annotation"); + } + + @Test + @DisplayName("Should be suitable for dependency injection") + void shouldBeSuitableForDependencyInjection() { + // Act & Assert - This test verifies that the annotation has the right properties + // for use in CDI/dependency injection frameworks + + // Should be a qualifier annotation (jakarta.inject.Qualifier) + Qualifier qualifier = VirtualThreadExecutor.class.getAnnotation(Qualifier.class); + assertNotNull(qualifier, "Should be a CDI Qualifier annotation"); + + // Should be retained at runtime for injection + Retention retention = VirtualThreadExecutor.class.getAnnotation(Retention.class); + assertEquals(RetentionPolicy.RUNTIME, retention.value(), "Should be retained at runtime for injection"); + } + + @Test + @DisplayName("Should have descriptive documentation") + void shouldHaveDescriptiveDocumentation() { + // Act + String className = VirtualThreadExecutor.class.getSimpleName(); + Package pkg = VirtualThreadExecutor.class.getPackage(); + + // Assert + assertEquals("VirtualThreadExecutor", className, "Should have descriptive name"); + assertEquals("fish.payara.trader.concurrency", pkg.getName(), "Should be in meaningful package"); + + // Note: We can't easily test javadoc content without additional libraries, + // but we can verify that the class is documented by its existence and naming + } + + /** Helper method to check if target array contains specific element type */ + private boolean containsTarget(ElementType[] targets, ElementType targetType) { + for (ElementType target : targets) { + if (target == targetType) { + return true; + } + } + return false; } - return false; - } } diff --git a/src/test/java/fish/payara/trader/gc/GCStatsServiceTest.java b/src/test/java/fish/payara/trader/gc/GCStatsServiceTest.java index 68ad242..3302047 100644 --- a/src/test/java/fish/payara/trader/gc/GCStatsServiceTest.java +++ b/src/test/java/fish/payara/trader/gc/GCStatsServiceTest.java @@ -19,123 +19,103 @@ @DisplayName("GCStatsService Tests") class GCStatsServiceTest { - private GCStatsService gcStatsService; - - @BeforeEach - void setUp() { - gcStatsService = new GCStatsService(); - } - - @Test - @DisplayName("Should handle GC notification and record pause") - void shouldHandleGCNotificationAndRecordPause() { - Notification notification = - new Notification( - GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION, "test", 1L); - CompositeData compositeData = mock(CompositeData.class); - notification.setUserData(compositeData); - - GarbageCollectionNotificationInfo info = mock(GarbageCollectionNotificationInfo.class); - GcInfo gcInfo = mock(GcInfo.class); - - when(info.getGcName()).thenReturn("G1 Young Generation"); - when(info.getGcAction()).thenReturn("end of minor GC"); - when(info.getGcCause()).thenReturn("System.gc()"); - when(info.getGcInfo()).thenReturn(gcInfo); - when(gcInfo.getDuration()).thenReturn(50L); - - try (MockedStatic mockedStatic = - mockStatic(GarbageCollectionNotificationInfo.class)) { - mockedStatic - .when(() -> GarbageCollectionNotificationInfo.from(compositeData)) - .thenReturn(info); - - gcStatsService.handleNotification(notification, null); - } + private GCStatsService gcStatsService; - List stats = gcStatsService.collectGCStats(); - // We expect at least the G1 Young Generation to be present if the JVM is running G1 - // But since collectGCStats calls ManagementFactory.getGarbageCollectorMXBeans(), - // it depends on the actual JVM. - // However, we can verify the pauseHistory internal state by calling collectGCStats - // and looking for the one we just injected. - - GCStats g1Stats = - stats.stream() - .filter(s -> s.getGcName().equals("G1 Young Generation")) - .findFirst() - .orElse(null); - - if (g1Stats != null) { - assertThat(g1Stats.getLastPauseDuration()).isEqualTo(50L); - assertThat(g1Stats.getRecentPauses()).contains(50L); - } - } - - @Test - @DisplayName("Should filter GPGC concurrent cycle notifications") - void shouldFilterGPGCConcurrentCycleNotifications() { - Notification notification = - new Notification( - GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION, "test", 1L); - CompositeData compositeData = mock(CompositeData.class); - notification.setUserData(compositeData); - - GarbageCollectionNotificationInfo info = mock(GarbageCollectionNotificationInfo.class); - GcInfo gcInfo = mock(GcInfo.class); - - when(info.getGcName()).thenReturn("GPGC"); // This should be filtered - when(info.getGcInfo()).thenReturn(gcInfo); - when(gcInfo.getDuration()).thenReturn(500L); - - try (MockedStatic mockedStatic = - mockStatic(GarbageCollectionNotificationInfo.class)) { - mockedStatic - .when(() -> GarbageCollectionNotificationInfo.from(compositeData)) - .thenReturn(info); - - gcStatsService.handleNotification(notification, null); + @BeforeEach + void setUp() { + gcStatsService = new GCStatsService(); } - List stats = gcStatsService.collectGCStats(); - GCStats gpgcStats = - stats.stream().filter(s -> s.getGcName().equals("GPGC")).findFirst().orElse(null); - - // GPGC should be excluded from stats - assertThat(gpgcStats).isNull(); - } - - @Test - @DisplayName("Should reset statistics") - void shouldResetStatistics() { - Notification notification = - new Notification( - GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION, "test", 1L); - CompositeData compositeData = mock(CompositeData.class); - notification.setUserData(compositeData); - - GarbageCollectionNotificationInfo info = mock(GarbageCollectionNotificationInfo.class); - GcInfo gcInfo = mock(GcInfo.class); - - when(info.getGcName()).thenReturn("Test GC"); - when(info.getGcInfo()).thenReturn(gcInfo); - when(gcInfo.getDuration()).thenReturn(100L); - - try (MockedStatic mockedStatic = - mockStatic(GarbageCollectionNotificationInfo.class)) { - mockedStatic - .when(() -> GarbageCollectionNotificationInfo.from(compositeData)) - .thenReturn(info); - gcStatsService.handleNotification(notification, null); + @Test + @DisplayName("Should handle GC notification and record pause") + void shouldHandleGCNotificationAndRecordPause() { + Notification notification = new Notification(GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION, "test", 1L); + CompositeData compositeData = mock(CompositeData.class); + notification.setUserData(compositeData); + + GarbageCollectionNotificationInfo info = mock(GarbageCollectionNotificationInfo.class); + GcInfo gcInfo = mock(GcInfo.class); + + when(info.getGcName()).thenReturn("G1 Young Generation"); + when(info.getGcAction()).thenReturn("end of minor GC"); + when(info.getGcCause()).thenReturn("System.gc()"); + when(info.getGcInfo()).thenReturn(gcInfo); + when(gcInfo.getDuration()).thenReturn(50L); + + try (MockedStatic mockedStatic = mockStatic(GarbageCollectionNotificationInfo.class)) { + mockedStatic.when(() -> GarbageCollectionNotificationInfo.from(compositeData)).thenReturn(info); + + gcStatsService.handleNotification(notification, null); + } + + List stats = gcStatsService.collectGCStats(); + // We expect at least the G1 Young Generation to be present if the JVM is running G1 + // But since collectGCStats calls ManagementFactory.getGarbageCollectorMXBeans(), + // it depends on the actual JVM. + // However, we can verify the pauseHistory internal state by calling collectGCStats + // and looking for the one we just injected. + + GCStats g1Stats = stats.stream().filter(s -> s.getGcName().equals("G1 Young Generation")).findFirst().orElse(null); + + if (g1Stats != null) { + assertThat(g1Stats.getLastPauseDuration()).isEqualTo(50L); + assertThat(g1Stats.getRecentPauses()).contains(50L); + } } - gcStatsService.resetStats(); + @Test + @DisplayName("Should filter GPGC concurrent cycle notifications") + void shouldFilterGPGCConcurrentCycleNotifications() { + Notification notification = new Notification(GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION, "test", 1L); + CompositeData compositeData = mock(CompositeData.class); + notification.setUserData(compositeData); + + GarbageCollectionNotificationInfo info = mock(GarbageCollectionNotificationInfo.class); + GcInfo gcInfo = mock(GcInfo.class); + + when(info.getGcName()).thenReturn("GPGC"); // This should be filtered + when(info.getGcInfo()).thenReturn(gcInfo); + when(gcInfo.getDuration()).thenReturn(500L); + + try (MockedStatic mockedStatic = mockStatic(GarbageCollectionNotificationInfo.class)) { + mockedStatic.when(() -> GarbageCollectionNotificationInfo.from(compositeData)).thenReturn(info); + + gcStatsService.handleNotification(notification, null); + } + + List stats = gcStatsService.collectGCStats(); + GCStats gpgcStats = stats.stream().filter(s -> s.getGcName().equals("GPGC")).findFirst().orElse(null); + + // GPGC should be excluded from stats + assertThat(gpgcStats).isNull(); + } - // After reset, even if the bean exists in JVM, the pause history should be gone - List stats = gcStatsService.collectGCStats(); - for (GCStats s : stats) { - assertThat(s.getRecentPauses()).isEmpty(); - assertThat(s.getLastPauseDuration()).isZero(); + @Test + @DisplayName("Should reset statistics") + void shouldResetStatistics() { + Notification notification = new Notification(GarbageCollectionNotificationInfo.GARBAGE_COLLECTION_NOTIFICATION, "test", 1L); + CompositeData compositeData = mock(CompositeData.class); + notification.setUserData(compositeData); + + GarbageCollectionNotificationInfo info = mock(GarbageCollectionNotificationInfo.class); + GcInfo gcInfo = mock(GcInfo.class); + + when(info.getGcName()).thenReturn("Test GC"); + when(info.getGcInfo()).thenReturn(gcInfo); + when(gcInfo.getDuration()).thenReturn(100L); + + try (MockedStatic mockedStatic = mockStatic(GarbageCollectionNotificationInfo.class)) { + mockedStatic.when(() -> GarbageCollectionNotificationInfo.from(compositeData)).thenReturn(info); + gcStatsService.handleNotification(notification, null); + } + + gcStatsService.resetStats(); + + // After reset, even if the bean exists in JVM, the pause history should be gone + List stats = gcStatsService.collectGCStats(); + for (GCStats s : stats) { + assertThat(s.getRecentPauses()).isEmpty(); + assertThat(s.getLastPauseDuration()).isZero(); + } } - } } diff --git a/src/test/java/fish/payara/trader/gc/GCStatsTest.java b/src/test/java/fish/payara/trader/gc/GCStatsTest.java index b22e594..50dc119 100644 --- a/src/test/java/fish/payara/trader/gc/GCStatsTest.java +++ b/src/test/java/fish/payara/trader/gc/GCStatsTest.java @@ -12,548 +12,514 @@ @DisplayName("GCStats Tests") class GCStatsTest { - @Nested - @DisplayName("Constructor and Basic Properties Tests") - class ConstructorAndBasicPropertiesTests { - - @Test - @DisplayName("Should create GCStats with default constructor") - void shouldCreateGCStatsWithDefaultConstructor() { - GCStats stats = new GCStats(); - - assertNotNull(stats, "GCStats should not be null"); - assertNull(stats.getGcName(), "GC name should be null by default"); - assertEquals(0L, stats.getCollectionCount(), "Collection count should default to 0"); - assertEquals(0L, stats.getCollectionTime(), "Collection time should default to 0"); - assertEquals(0L, stats.getLastPauseDuration(), "Last pause duration should default to 0"); - assertNull(stats.getRecentPauses(), "Recent pauses should be null by default"); - assertNull(stats.getPercentiles(), "Percentiles should be null by default"); - assertEquals(0L, stats.getTotalMemory(), "Total memory should default to 0"); - assertEquals(0L, stats.getUsedMemory(), "Used memory should default to 0"); - assertEquals(0L, stats.getFreeMemory(), "Free memory should default to 0"); + @Nested + @DisplayName("Constructor and Basic Properties Tests") + class ConstructorAndBasicPropertiesTests { + + @Test + @DisplayName("Should create GCStats with default constructor") + void shouldCreateGCStatsWithDefaultConstructor() { + GCStats stats = new GCStats(); + + assertNotNull(stats, "GCStats should not be null"); + assertNull(stats.getGcName(), "GC name should be null by default"); + assertEquals(0L, stats.getCollectionCount(), "Collection count should default to 0"); + assertEquals(0L, stats.getCollectionTime(), "Collection time should default to 0"); + assertEquals(0L, stats.getLastPauseDuration(), "Last pause duration should default to 0"); + assertNull(stats.getRecentPauses(), "Recent pauses should be null by default"); + assertNull(stats.getPercentiles(), "Percentiles should be null by default"); + assertEquals(0L, stats.getTotalMemory(), "Total memory should default to 0"); + assertEquals(0L, stats.getUsedMemory(), "Used memory should default to 0"); + assertEquals(0L, stats.getFreeMemory(), "Free memory should default to 0"); + } + } + + @Nested + @DisplayName("GC Name Tests") + class GCNameTests { + + @Test + @DisplayName("Should set and get GC name correctly") + void shouldSetAndGetGCNameCorrectly() { + GCStats stats = new GCStats(); + String gcName = "G1 Young Generation"; + + stats.setGcName(gcName); + assertEquals(gcName, stats.getGcName(), "GC name should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle null GC name") + void shouldHandleNullGCName() { + GCStats stats = new GCStats(); + + assertDoesNotThrow(() -> stats.setGcName(null), "Setting null GC name should not throw"); + assertNull(stats.getGcName(), "GC name should be null"); + } + + @Test + @DisplayName("Should handle empty GC name") + void shouldHandleEmptyGCName() { + GCStats stats = new GCStats(); + String emptyName = ""; + + stats.setGcName(emptyName); + assertEquals(emptyName, stats.getGcName(), "Empty GC name should be handled"); + } + + @Test + @DisplayName("Should handle special characters in GC name") + void shouldHandleSpecialCharactersInGCName() { + GCStats stats = new GCStats(); + String specialName = "G1/Young (Test) @#$%^&*()"; + + stats.setGcName(specialName); + assertEquals(specialName, stats.getGcName(), "Special characters should be preserved"); + } + } + + @Nested + @DisplayName("Collection Statistics Tests") + class CollectionStatisticsTests { + + @Test + @DisplayName("Should set and get collection count correctly") + void shouldSetAndGetCollectionCountCorrectly() { + GCStats stats = new GCStats(); + long collectionCount = 12345L; + + stats.setCollectionCount(collectionCount); + assertEquals(collectionCount, stats.getCollectionCount(), "Collection count should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle zero collection count") + void shouldHandleZeroCollectionCount() { + GCStats stats = new GCStats(); + + stats.setCollectionCount(0L); + assertEquals(0L, stats.getCollectionCount(), "Zero collection count should be handled"); + } + + @Test + @DisplayName("Should handle negative collection count") + void shouldHandleNegativeCollectionCount() { + GCStats stats = new GCStats(); + long negativeCount = -100L; + + stats.setCollectionCount(negativeCount); + assertEquals(negativeCount, stats.getCollectionCount(), "Negative collection count should be handled"); + } + + @Test + @DisplayName("Should handle very large collection count") + void shouldHandleVeryLargeCollectionCount() { + GCStats stats = new GCStats(); + long largeCount = Long.MAX_VALUE; + + stats.setCollectionCount(largeCount); + assertEquals(largeCount, stats.getCollectionCount(), "Very large collection count should be handled"); + } + + @Test + @DisplayName("Should set and get collection time correctly") + void shouldSetAndGetCollectionTimeCorrectly() { + GCStats stats = new GCStats(); + long collectionTime = 98765L; + + stats.setCollectionTime(collectionTime); + assertEquals(collectionTime, stats.getCollectionTime(), "Collection time should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle zero collection time") + void shouldHandleZeroCollectionTime() { + GCStats stats = new GCStats(); + + stats.setCollectionTime(0L); + assertEquals(0L, stats.getCollectionTime(), "Zero collection time should be handled"); + } + + @Test + @DisplayName("Should handle negative collection time") + void shouldHandleNegativeCollectionTime() { + GCStats stats = new GCStats(); + long negativeTime = -500L; + + stats.setCollectionTime(negativeTime); + assertEquals(negativeTime, stats.getCollectionTime(), "Negative collection time should be handled"); + } + } + + @Nested + @DisplayName("Pause Duration Tests") + class PauseDurationTests { + + @Test + @DisplayName("Should set and get last pause duration correctly") + void shouldSetAndGetLastPauseDurationCorrectly() { + GCStats stats = new GCStats(); + long pauseDuration = 150L; + + stats.setLastPauseDuration(pauseDuration); + assertEquals(pauseDuration, stats.getLastPauseDuration(), "Last pause duration should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle zero pause duration") + void shouldHandleZeroPauseDuration() { + GCStats stats = new GCStats(); + + stats.setLastPauseDuration(0L); + assertEquals(0L, stats.getLastPauseDuration(), "Zero pause duration should be handled"); + } + + @Test + @DisplayName("Should handle very long pause duration") + void shouldHandleVeryLongPauseDuration() { + GCStats stats = new GCStats(); + long longPause = 30000L; // 30 seconds + + stats.setLastPauseDuration(longPause); + assertEquals(longPause, stats.getLastPauseDuration(), "Very long pause duration should be handled"); + } + + @Test + @DisplayName("Should handle microsecond-level pause duration") + void shouldHandleMicrosecondLevelPauseDuration() { + GCStats stats = new GCStats(); + long microPause = 1L; // 1 millisecond (micro in practice) + + stats.setLastPauseDuration(microPause); + assertEquals(microPause, stats.getLastPauseDuration(), "Microsecond-level pause duration should be handled"); + } + } + + @Nested + @DisplayName("Recent Pauses Tests") + class RecentPausesTests { + + @Test + @DisplayName("Should set and get recent pauses list correctly") + void shouldSetAndGetRecentPausesListCorrectly() { + GCStats stats = new GCStats(); + List pauses = Arrays.asList(10L, 25L, 15L, 30L, 12L); + + stats.setRecentPauses(pauses); + assertEquals(pauses, stats.getRecentPauses(), "Recent pauses list should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle empty recent pauses list") + void shouldHandleEmptyRecentPausesList() { + GCStats stats = new GCStats(); + List emptyList = List.of(); + + stats.setRecentPauses(emptyList); + assertEquals(emptyList, stats.getRecentPauses(), "Empty recent pauses list should be handled"); + } + + @Test + @DisplayName("Should handle null recent pauses list") + void shouldHandleNullRecentPausesList() { + GCStats stats = new GCStats(); + + assertDoesNotThrow(() -> stats.setRecentPauses(null), "Setting null recent pauses should not throw"); + assertNull(stats.getRecentPauses(), "Recent pauses should be null"); + } + + @Test + @DisplayName("Should handle recent pauses with zero values") + void shouldHandleRecentPausesWithZeroValues() { + GCStats stats = new GCStats(); + List zeros = Arrays.asList(0L, 0L, 0L, 0L); + + stats.setRecentPauses(zeros); + assertEquals(zeros, stats.getRecentPauses(), "Zero pause values should be handled"); + } + + @Test + @DisplayName("Should handle recent pauses with mixed values") + void shouldHandleRecentPausesWithMixedValues() { + GCStats stats = new GCStats(); + List mixedValues = Arrays.asList(5L, 0L, 1000L, 1L, 500L); + + stats.setRecentPauses(mixedValues); + assertEquals(mixedValues, stats.getRecentPauses(), "Mixed pause values should be handled"); + } + } + + @Nested + @DisplayName("Percentiles Tests") + class PercentilesTests { + + @Test + @DisplayName("Should set and get percentiles correctly") + void shouldSetAndGetPercentilesCorrectly() { + GCStats stats = new GCStats(); + GCStats.PausePercentiles percentiles = new GCStats.PausePercentiles(10L, 25L, 50L, 100L, 200L); + + stats.setPercentiles(percentiles); + assertEquals(percentiles, stats.getPercentiles(), "Percentiles should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should handle null percentiles") + void shouldHandleNullPercentiles() { + GCStats stats = new GCStats(); + + assertDoesNotThrow(() -> stats.setPercentiles(null), "Setting null percentiles should not throw"); + assertNull(stats.getPercentiles(), "Percentiles should be null"); + } + + @Test + @DisplayName("Should handle all zero percentile values") + void shouldHandleAllZeroPercentileValues() { + GCStats stats = new GCStats(); + GCStats.PausePercentiles zeroPercentiles = new GCStats.PausePercentiles(0L, 0L, 0L, 0L, 0L); + + stats.setPercentiles(zeroPercentiles); + assertEquals(0L, stats.getPercentiles().getP50(), "P50 should be zero"); + assertEquals(0L, stats.getPercentiles().getP95(), "P95 should be zero"); + assertEquals(0L, stats.getPercentiles().getP99(), "P99 should be zero"); + assertEquals(0L, stats.getPercentiles().getP999(), "P999 should be zero"); + assertEquals(0L, stats.getPercentiles().getMax(), "Max should be zero"); + } + + @Test + @DisplayName("Should handle percentile with constructor") + void shouldHandlePercentileWithConstructor() { + long p50 = 15L, p95 = 50L, p99 = 120L, p999 = 300L, max = 500L; + GCStats.PausePercentiles percentiles = new GCStats.PausePercentiles(p50, p95, p99, p999, max); + + assertEquals(p50, percentiles.getP50(), "P50 should match constructor value"); + assertEquals(p95, percentiles.getP95(), "P95 should match constructor value"); + assertEquals(p99, percentiles.getP99(), "P99 should match constructor value"); + assertEquals(p999, percentiles.getP999(), "P999 should match constructor value"); + assertEquals(max, percentiles.getMax(), "Max should match constructor value"); + } + + @Test + @DisplayName("Should handle percentile setters and getters") + void shouldHandlePercentileSettersAndGetters() { + GCStats.PausePercentiles percentiles = new GCStats.PausePercentiles(); + + long p50 = 25L, p95 = 75L, p99 = 150L, p999 = 400L, max = 800L; + + percentiles.setP50(p50); + percentiles.setP95(p95); + percentiles.setP99(p99); + percentiles.setP999(p999); + percentiles.setMax(max); + + assertEquals(p50, percentiles.getP50(), "P50 should be set correctly"); + assertEquals(p95, percentiles.getP95(), "P95 should be set correctly"); + assertEquals(p99, percentiles.getP99(), "P99 should be set correctly"); + assertEquals(p999, percentiles.getP999(), "P999 should be set correctly"); + assertEquals(max, percentiles.getMax(), "Max should be set correctly"); + } + } + + @Nested + @DisplayName("Memory Statistics Tests") + class MemoryStatisticsTests { + + @Test + @DisplayName("Should set and get total memory correctly") + void shouldSetAndGetTotalMemoryCorrectly() { + GCStats stats = new GCStats(); + long totalMemory = 1024L * 1024L * 1024L; // 1GB + + stats.setTotalMemory(totalMemory); + assertEquals(totalMemory, stats.getTotalMemory(), "Total memory should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should set and get used memory correctly") + void shouldSetAndGetUsedMemoryCorrectly() { + GCStats stats = new GCStats(); + long usedMemory = 512L * 1024L * 1024L; // 512MB + + stats.setUsedMemory(usedMemory); + assertEquals(usedMemory, stats.getUsedMemory(), "Used memory should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should set and get free memory correctly") + void shouldSetAndGetFreeMemoryCorrectly() { + GCStats stats = new GCStats(); + long freeMemory = 256L * 1024L * 1024L; // 256MB + + stats.setFreeMemory(freeMemory); + assertEquals(freeMemory, stats.getFreeMemory(), "Free memory should be set and retrieved correctly"); + } + + @Test + @DisplayName("Should maintain memory relationship: total >= used") + void shouldMaintainMemoryRelationshipTotalGTEUsed() { + GCStats stats = new GCStats(); + long total = 1000L; + long used = 750L; + + stats.setTotalMemory(total); + stats.setUsedMemory(used); + + assertTrue(stats.getTotalMemory() >= stats.getUsedMemory(), "Total memory should be greater than or equal to used memory"); + } + + @Test + @DisplayName("Should maintain memory relationship: total >= free") + void shouldMaintainMemoryRelationshipTotalGTFree() { + GCStats stats = new GCStats(); + long total = 1000L; + long free = 300L; + + stats.setTotalMemory(total); + stats.setFreeMemory(free); + + assertTrue(stats.getTotalMemory() >= stats.getFreeMemory(), "Total memory should be greater than or equal to free memory"); + } + + @Test + @DisplayName("Should maintain memory relationship: total >= used + free") + void shouldMaintainMemoryRelationshipTotalGEUsedPlusFree() { + GCStats stats = new GCStats(); + long total = 1000L; + long used = 600L; + long free = 400L; + + stats.setTotalMemory(total); + stats.setUsedMemory(used); + stats.setFreeMemory(free); + + assertTrue(stats.getTotalMemory() >= stats.getUsedMemory() + stats.getFreeMemory(), + "Total memory should be greater than or equal to used + free memory"); + } + + @Test + @DisplayName("Should handle zero memory values") + void shouldHandleZeroMemoryValues() { + GCStats stats = new GCStats(); + + stats.setTotalMemory(0L); + stats.setUsedMemory(0L); + stats.setFreeMemory(0L); + + assertEquals(0L, stats.getTotalMemory(), "Total memory should handle zero"); + assertEquals(0L, stats.getUsedMemory(), "Used memory should handle zero"); + assertEquals(0L, stats.getFreeMemory(), "Free memory should handle zero"); + } + + @Test + @DisplayName("Should handle large memory values") + void shouldHandleLargeMemoryValues() { + GCStats stats = new GCStats(); + long largeValue = Long.MAX_VALUE / 2; // Half of max long value + + stats.setTotalMemory(largeValue); + stats.setUsedMemory(largeValue / 2); + stats.setFreeMemory(largeValue / 4); + + assertEquals(largeValue, stats.getTotalMemory(), "Large total memory should be handled"); + assertEquals(largeValue / 2, stats.getUsedMemory(), "Large used memory should be handled"); + assertEquals(largeValue / 4, stats.getFreeMemory(), "Large free memory should be handled"); + } + } + + @Nested + @DisplayName("Consistency Tests") + class ConsistencyTests { + + @Test + @DisplayName("Should maintain consistent state across multiple property changes") + void shouldMaintainConsistentStateAcrossMultiplePropertyChanges() { + GCStats stats = new GCStats(); + + // Set all properties + stats.setGcName("Test GC"); + stats.setCollectionCount(100L); + stats.setCollectionTime(5000L); + stats.setLastPauseDuration(50L); + stats.setRecentPauses(List.of(10L, 20L, 30L)); + stats.setPercentiles(new GCStats.PausePercentiles(15L, 25L, 40L, 60L, 100L)); + stats.setTotalMemory(1024L); + stats.setUsedMemory(512L); + stats.setFreeMemory(256L); + + // Verify all properties are still correct + assertEquals("Test GC", stats.getGcName()); + assertEquals(100L, stats.getCollectionCount()); + assertEquals(5000L, stats.getCollectionTime()); + assertEquals(50L, stats.getLastPauseDuration()); + assertEquals(List.of(10L, 20L, 30L), stats.getRecentPauses()); + assertEquals(15L, stats.getPercentiles().getP50()); + assertEquals(1024L, stats.getTotalMemory()); + assertEquals(512L, stats.getUsedMemory()); + assertEquals(256L, stats.getFreeMemory()); + } + + @Test + @DisplayName("Should handle independent property modifications") + void shouldHandleIndependentPropertyModifications() { + GCStats stats = new GCStats(); + + // Set initial values + stats.setCollectionCount(100L); + stats.setCollectionTime(5000L); + + // Modify one property + stats.setCollectionCount(200L); + + // Verify only the modified property changed + assertEquals(200L, stats.getCollectionCount(), "Modified property should change"); + assertEquals(5000L, stats.getCollectionTime(), "Unmodified property should remain unchanged"); + } + } + + @Nested + @DisplayName("Edge Cases Tests") + class EdgeCasesTests { + + @Test + @DisplayName("Should handle Long.MAX_VALUE for all numeric properties") + void shouldHandleLongMaxValueForAllNumericProperties() { + GCStats stats = new GCStats(); + long maxValue = Long.MAX_VALUE; + + stats.setCollectionCount(maxValue); + stats.setCollectionTime(maxValue); + stats.setLastPauseDuration(maxValue); + stats.setTotalMemory(maxValue); + stats.setUsedMemory(maxValue); + stats.setFreeMemory(maxValue); + + assertEquals(maxValue, stats.getCollectionCount()); + assertEquals(maxValue, stats.getCollectionTime()); + assertEquals(maxValue, stats.getLastPauseDuration()); + assertEquals(maxValue, stats.getTotalMemory()); + assertEquals(maxValue, stats.getUsedMemory()); + assertEquals(maxValue, stats.getFreeMemory()); + } + + @Test + @DisplayName("Should handle Long.MIN_VALUE for all numeric properties") + void shouldHandleLongMinValueForAllNumericProperties() { + GCStats stats = new GCStats(); + long minValue = Long.MIN_VALUE; + + stats.setCollectionCount(minValue); + stats.setCollectionTime(minValue); + stats.setLastPauseDuration(minValue); + stats.setTotalMemory(minValue); + stats.setUsedMemory(minValue); + stats.setFreeMemory(minValue); + + assertEquals(minValue, stats.getCollectionCount()); + assertEquals(minValue, stats.getCollectionTime()); + assertEquals(minValue, stats.getLastPauseDuration()); + assertEquals(minValue, stats.getTotalMemory()); + assertEquals(minValue, stats.getUsedMemory()); + assertEquals(minValue, stats.getFreeMemory()); + } } - } - - @Nested - @DisplayName("GC Name Tests") - class GCNameTests { - - @Test - @DisplayName("Should set and get GC name correctly") - void shouldSetAndGetGCNameCorrectly() { - GCStats stats = new GCStats(); - String gcName = "G1 Young Generation"; - - stats.setGcName(gcName); - assertEquals(gcName, stats.getGcName(), "GC name should be set and retrieved correctly"); - } - - @Test - @DisplayName("Should handle null GC name") - void shouldHandleNullGCName() { - GCStats stats = new GCStats(); - - assertDoesNotThrow(() -> stats.setGcName(null), "Setting null GC name should not throw"); - assertNull(stats.getGcName(), "GC name should be null"); - } - - @Test - @DisplayName("Should handle empty GC name") - void shouldHandleEmptyGCName() { - GCStats stats = new GCStats(); - String emptyName = ""; - - stats.setGcName(emptyName); - assertEquals(emptyName, stats.getGcName(), "Empty GC name should be handled"); - } - - @Test - @DisplayName("Should handle special characters in GC name") - void shouldHandleSpecialCharactersInGCName() { - GCStats stats = new GCStats(); - String specialName = "G1/Young (Test) @#$%^&*()"; - - stats.setGcName(specialName); - assertEquals(specialName, stats.getGcName(), "Special characters should be preserved"); - } - } - - @Nested - @DisplayName("Collection Statistics Tests") - class CollectionStatisticsTests { - - @Test - @DisplayName("Should set and get collection count correctly") - void shouldSetAndGetCollectionCountCorrectly() { - GCStats stats = new GCStats(); - long collectionCount = 12345L; - - stats.setCollectionCount(collectionCount); - assertEquals( - collectionCount, - stats.getCollectionCount(), - "Collection count should be set and retrieved correctly"); - } - - @Test - @DisplayName("Should handle zero collection count") - void shouldHandleZeroCollectionCount() { - GCStats stats = new GCStats(); - - stats.setCollectionCount(0L); - assertEquals(0L, stats.getCollectionCount(), "Zero collection count should be handled"); - } - - @Test - @DisplayName("Should handle negative collection count") - void shouldHandleNegativeCollectionCount() { - GCStats stats = new GCStats(); - long negativeCount = -100L; - - stats.setCollectionCount(negativeCount); - assertEquals( - negativeCount, stats.getCollectionCount(), "Negative collection count should be handled"); - } - - @Test - @DisplayName("Should handle very large collection count") - void shouldHandleVeryLargeCollectionCount() { - GCStats stats = new GCStats(); - long largeCount = Long.MAX_VALUE; - - stats.setCollectionCount(largeCount); - assertEquals( - largeCount, stats.getCollectionCount(), "Very large collection count should be handled"); - } - - @Test - @DisplayName("Should set and get collection time correctly") - void shouldSetAndGetCollectionTimeCorrectly() { - GCStats stats = new GCStats(); - long collectionTime = 98765L; - - stats.setCollectionTime(collectionTime); - assertEquals( - collectionTime, - stats.getCollectionTime(), - "Collection time should be set and retrieved correctly"); - } - - @Test - @DisplayName("Should handle zero collection time") - void shouldHandleZeroCollectionTime() { - GCStats stats = new GCStats(); - - stats.setCollectionTime(0L); - assertEquals(0L, stats.getCollectionTime(), "Zero collection time should be handled"); - } - - @Test - @DisplayName("Should handle negative collection time") - void shouldHandleNegativeCollectionTime() { - GCStats stats = new GCStats(); - long negativeTime = -500L; - - stats.setCollectionTime(negativeTime); - assertEquals( - negativeTime, stats.getCollectionTime(), "Negative collection time should be handled"); - } - } - - @Nested - @DisplayName("Pause Duration Tests") - class PauseDurationTests { - - @Test - @DisplayName("Should set and get last pause duration correctly") - void shouldSetAndGetLastPauseDurationCorrectly() { - GCStats stats = new GCStats(); - long pauseDuration = 150L; - - stats.setLastPauseDuration(pauseDuration); - assertEquals( - pauseDuration, - stats.getLastPauseDuration(), - "Last pause duration should be set and retrieved correctly"); - } - - @Test - @DisplayName("Should handle zero pause duration") - void shouldHandleZeroPauseDuration() { - GCStats stats = new GCStats(); - - stats.setLastPauseDuration(0L); - assertEquals(0L, stats.getLastPauseDuration(), "Zero pause duration should be handled"); - } - - @Test - @DisplayName("Should handle very long pause duration") - void shouldHandleVeryLongPauseDuration() { - GCStats stats = new GCStats(); - long longPause = 30000L; // 30 seconds - - stats.setLastPauseDuration(longPause); - assertEquals( - longPause, stats.getLastPauseDuration(), "Very long pause duration should be handled"); - } - - @Test - @DisplayName("Should handle microsecond-level pause duration") - void shouldHandleMicrosecondLevelPauseDuration() { - GCStats stats = new GCStats(); - long microPause = 1L; // 1 millisecond (micro in practice) - - stats.setLastPauseDuration(microPause); - assertEquals( - microPause, - stats.getLastPauseDuration(), - "Microsecond-level pause duration should be handled"); - } - } - - @Nested - @DisplayName("Recent Pauses Tests") - class RecentPausesTests { - - @Test - @DisplayName("Should set and get recent pauses list correctly") - void shouldSetAndGetRecentPausesListCorrectly() { - GCStats stats = new GCStats(); - List pauses = Arrays.asList(10L, 25L, 15L, 30L, 12L); - - stats.setRecentPauses(pauses); - assertEquals( - pauses, - stats.getRecentPauses(), - "Recent pauses list should be set and retrieved correctly"); - } - - @Test - @DisplayName("Should handle empty recent pauses list") - void shouldHandleEmptyRecentPausesList() { - GCStats stats = new GCStats(); - List emptyList = List.of(); - - stats.setRecentPauses(emptyList); - assertEquals( - emptyList, stats.getRecentPauses(), "Empty recent pauses list should be handled"); - } - - @Test - @DisplayName("Should handle null recent pauses list") - void shouldHandleNullRecentPausesList() { - GCStats stats = new GCStats(); - - assertDoesNotThrow( - () -> stats.setRecentPauses(null), "Setting null recent pauses should not throw"); - assertNull(stats.getRecentPauses(), "Recent pauses should be null"); - } - - @Test - @DisplayName("Should handle recent pauses with zero values") - void shouldHandleRecentPausesWithZeroValues() { - GCStats stats = new GCStats(); - List zeros = Arrays.asList(0L, 0L, 0L, 0L); - - stats.setRecentPauses(zeros); - assertEquals(zeros, stats.getRecentPauses(), "Zero pause values should be handled"); - } - - @Test - @DisplayName("Should handle recent pauses with mixed values") - void shouldHandleRecentPausesWithMixedValues() { - GCStats stats = new GCStats(); - List mixedValues = Arrays.asList(5L, 0L, 1000L, 1L, 500L); - - stats.setRecentPauses(mixedValues); - assertEquals(mixedValues, stats.getRecentPauses(), "Mixed pause values should be handled"); - } - } - - @Nested - @DisplayName("Percentiles Tests") - class PercentilesTests { - - @Test - @DisplayName("Should set and get percentiles correctly") - void shouldSetAndGetPercentilesCorrectly() { - GCStats stats = new GCStats(); - GCStats.PausePercentiles percentiles = - new GCStats.PausePercentiles(10L, 25L, 50L, 100L, 200L); - - stats.setPercentiles(percentiles); - assertEquals( - percentiles, stats.getPercentiles(), "Percentiles should be set and retrieved correctly"); - } - - @Test - @DisplayName("Should handle null percentiles") - void shouldHandleNullPercentiles() { - GCStats stats = new GCStats(); - - assertDoesNotThrow( - () -> stats.setPercentiles(null), "Setting null percentiles should not throw"); - assertNull(stats.getPercentiles(), "Percentiles should be null"); - } - - @Test - @DisplayName("Should handle all zero percentile values") - void shouldHandleAllZeroPercentileValues() { - GCStats stats = new GCStats(); - GCStats.PausePercentiles zeroPercentiles = new GCStats.PausePercentiles(0L, 0L, 0L, 0L, 0L); - - stats.setPercentiles(zeroPercentiles); - assertEquals(0L, stats.getPercentiles().getP50(), "P50 should be zero"); - assertEquals(0L, stats.getPercentiles().getP95(), "P95 should be zero"); - assertEquals(0L, stats.getPercentiles().getP99(), "P99 should be zero"); - assertEquals(0L, stats.getPercentiles().getP999(), "P999 should be zero"); - assertEquals(0L, stats.getPercentiles().getMax(), "Max should be zero"); - } - - @Test - @DisplayName("Should handle percentile with constructor") - void shouldHandlePercentileWithConstructor() { - long p50 = 15L, p95 = 50L, p99 = 120L, p999 = 300L, max = 500L; - GCStats.PausePercentiles percentiles = new GCStats.PausePercentiles(p50, p95, p99, p999, max); - - assertEquals(p50, percentiles.getP50(), "P50 should match constructor value"); - assertEquals(p95, percentiles.getP95(), "P95 should match constructor value"); - assertEquals(p99, percentiles.getP99(), "P99 should match constructor value"); - assertEquals(p999, percentiles.getP999(), "P999 should match constructor value"); - assertEquals(max, percentiles.getMax(), "Max should match constructor value"); - } - - @Test - @DisplayName("Should handle percentile setters and getters") - void shouldHandlePercentileSettersAndGetters() { - GCStats.PausePercentiles percentiles = new GCStats.PausePercentiles(); - - long p50 = 25L, p95 = 75L, p99 = 150L, p999 = 400L, max = 800L; - - percentiles.setP50(p50); - percentiles.setP95(p95); - percentiles.setP99(p99); - percentiles.setP999(p999); - percentiles.setMax(max); - - assertEquals(p50, percentiles.getP50(), "P50 should be set correctly"); - assertEquals(p95, percentiles.getP95(), "P95 should be set correctly"); - assertEquals(p99, percentiles.getP99(), "P99 should be set correctly"); - assertEquals(p999, percentiles.getP999(), "P999 should be set correctly"); - assertEquals(max, percentiles.getMax(), "Max should be set correctly"); - } - } - - @Nested - @DisplayName("Memory Statistics Tests") - class MemoryStatisticsTests { - - @Test - @DisplayName("Should set and get total memory correctly") - void shouldSetAndGetTotalMemoryCorrectly() { - GCStats stats = new GCStats(); - long totalMemory = 1024L * 1024L * 1024L; // 1GB - - stats.setTotalMemory(totalMemory); - assertEquals( - totalMemory, - stats.getTotalMemory(), - "Total memory should be set and retrieved correctly"); - } - - @Test - @DisplayName("Should set and get used memory correctly") - void shouldSetAndGetUsedMemoryCorrectly() { - GCStats stats = new GCStats(); - long usedMemory = 512L * 1024L * 1024L; // 512MB - - stats.setUsedMemory(usedMemory); - assertEquals( - usedMemory, stats.getUsedMemory(), "Used memory should be set and retrieved correctly"); - } - - @Test - @DisplayName("Should set and get free memory correctly") - void shouldSetAndGetFreeMemoryCorrectly() { - GCStats stats = new GCStats(); - long freeMemory = 256L * 1024L * 1024L; // 256MB - - stats.setFreeMemory(freeMemory); - assertEquals( - freeMemory, stats.getFreeMemory(), "Free memory should be set and retrieved correctly"); - } - - @Test - @DisplayName("Should maintain memory relationship: total >= used") - void shouldMaintainMemoryRelationshipTotalGTEUsed() { - GCStats stats = new GCStats(); - long total = 1000L; - long used = 750L; - - stats.setTotalMemory(total); - stats.setUsedMemory(used); - - assertTrue( - stats.getTotalMemory() >= stats.getUsedMemory(), - "Total memory should be greater than or equal to used memory"); - } - - @Test - @DisplayName("Should maintain memory relationship: total >= free") - void shouldMaintainMemoryRelationshipTotalGTFree() { - GCStats stats = new GCStats(); - long total = 1000L; - long free = 300L; - - stats.setTotalMemory(total); - stats.setFreeMemory(free); - - assertTrue( - stats.getTotalMemory() >= stats.getFreeMemory(), - "Total memory should be greater than or equal to free memory"); - } - - @Test - @DisplayName("Should maintain memory relationship: total >= used + free") - void shouldMaintainMemoryRelationshipTotalGEUsedPlusFree() { - GCStats stats = new GCStats(); - long total = 1000L; - long used = 600L; - long free = 400L; - - stats.setTotalMemory(total); - stats.setUsedMemory(used); - stats.setFreeMemory(free); - - assertTrue( - stats.getTotalMemory() >= stats.getUsedMemory() + stats.getFreeMemory(), - "Total memory should be greater than or equal to used + free memory"); - } - - @Test - @DisplayName("Should handle zero memory values") - void shouldHandleZeroMemoryValues() { - GCStats stats = new GCStats(); - - stats.setTotalMemory(0L); - stats.setUsedMemory(0L); - stats.setFreeMemory(0L); - - assertEquals(0L, stats.getTotalMemory(), "Total memory should handle zero"); - assertEquals(0L, stats.getUsedMemory(), "Used memory should handle zero"); - assertEquals(0L, stats.getFreeMemory(), "Free memory should handle zero"); - } - - @Test - @DisplayName("Should handle large memory values") - void shouldHandleLargeMemoryValues() { - GCStats stats = new GCStats(); - long largeValue = Long.MAX_VALUE / 2; // Half of max long value - - stats.setTotalMemory(largeValue); - stats.setUsedMemory(largeValue / 2); - stats.setFreeMemory(largeValue / 4); - - assertEquals(largeValue, stats.getTotalMemory(), "Large total memory should be handled"); - assertEquals(largeValue / 2, stats.getUsedMemory(), "Large used memory should be handled"); - assertEquals(largeValue / 4, stats.getFreeMemory(), "Large free memory should be handled"); - } - } - - @Nested - @DisplayName("Consistency Tests") - class ConsistencyTests { - - @Test - @DisplayName("Should maintain consistent state across multiple property changes") - void shouldMaintainConsistentStateAcrossMultiplePropertyChanges() { - GCStats stats = new GCStats(); - - // Set all properties - stats.setGcName("Test GC"); - stats.setCollectionCount(100L); - stats.setCollectionTime(5000L); - stats.setLastPauseDuration(50L); - stats.setRecentPauses(List.of(10L, 20L, 30L)); - stats.setPercentiles(new GCStats.PausePercentiles(15L, 25L, 40L, 60L, 100L)); - stats.setTotalMemory(1024L); - stats.setUsedMemory(512L); - stats.setFreeMemory(256L); - - // Verify all properties are still correct - assertEquals("Test GC", stats.getGcName()); - assertEquals(100L, stats.getCollectionCount()); - assertEquals(5000L, stats.getCollectionTime()); - assertEquals(50L, stats.getLastPauseDuration()); - assertEquals(List.of(10L, 20L, 30L), stats.getRecentPauses()); - assertEquals(15L, stats.getPercentiles().getP50()); - assertEquals(1024L, stats.getTotalMemory()); - assertEquals(512L, stats.getUsedMemory()); - assertEquals(256L, stats.getFreeMemory()); - } - - @Test - @DisplayName("Should handle independent property modifications") - void shouldHandleIndependentPropertyModifications() { - GCStats stats = new GCStats(); - - // Set initial values - stats.setCollectionCount(100L); - stats.setCollectionTime(5000L); - - // Modify one property - stats.setCollectionCount(200L); - - // Verify only the modified property changed - assertEquals(200L, stats.getCollectionCount(), "Modified property should change"); - assertEquals(5000L, stats.getCollectionTime(), "Unmodified property should remain unchanged"); - } - } - - @Nested - @DisplayName("Edge Cases Tests") - class EdgeCasesTests { - - @Test - @DisplayName("Should handle Long.MAX_VALUE for all numeric properties") - void shouldHandleLongMaxValueForAllNumericProperties() { - GCStats stats = new GCStats(); - long maxValue = Long.MAX_VALUE; - - stats.setCollectionCount(maxValue); - stats.setCollectionTime(maxValue); - stats.setLastPauseDuration(maxValue); - stats.setTotalMemory(maxValue); - stats.setUsedMemory(maxValue); - stats.setFreeMemory(maxValue); - - assertEquals(maxValue, stats.getCollectionCount()); - assertEquals(maxValue, stats.getCollectionTime()); - assertEquals(maxValue, stats.getLastPauseDuration()); - assertEquals(maxValue, stats.getTotalMemory()); - assertEquals(maxValue, stats.getUsedMemory()); - assertEquals(maxValue, stats.getFreeMemory()); - } - - @Test - @DisplayName("Should handle Long.MIN_VALUE for all numeric properties") - void shouldHandleLongMinValueForAllNumericProperties() { - GCStats stats = new GCStats(); - long minValue = Long.MIN_VALUE; - - stats.setCollectionCount(minValue); - stats.setCollectionTime(minValue); - stats.setLastPauseDuration(minValue); - stats.setTotalMemory(minValue); - stats.setUsedMemory(minValue); - stats.setFreeMemory(minValue); - - assertEquals(minValue, stats.getCollectionCount()); - assertEquals(minValue, stats.getCollectionTime()); - assertEquals(minValue, stats.getLastPauseDuration()); - assertEquals(minValue, stats.getTotalMemory()); - assertEquals(minValue, stats.getUsedMemory()); - assertEquals(minValue, stats.getFreeMemory()); - } - } } diff --git a/src/test/java/fish/payara/trader/monitoring/SLAMonitorServiceTest.java b/src/test/java/fish/payara/trader/monitoring/SLAMonitorServiceTest.java index afbda1f..cda483d 100644 --- a/src/test/java/fish/payara/trader/monitoring/SLAMonitorServiceTest.java +++ b/src/test/java/fish/payara/trader/monitoring/SLAMonitorServiceTest.java @@ -9,111 +9,111 @@ @DisplayName("SLAMonitorService Tests") class SLAMonitorServiceTest { - private SLAMonitorService slaMonitorService; - - @BeforeEach - void setUp() { - slaMonitorService = new SLAMonitorService(); - } - - @Test - @DisplayName("Should initialize with zeroed stats") - void shouldInitializeWithZeroedStats() { - SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); - - assertEquals(0, stats.totalOperations); - assertEquals(0, stats.violationsOver10ms); - assertEquals(0, stats.violationsOver50ms); - assertEquals(0, stats.violationsOver100ms); - assertEquals(0.0, stats.violationRate); - assertEquals(0, stats.recentViolations); - } - - @Test - @DisplayName("Should record normal operation below thresholds") - void shouldRecordNormalOperationBelowThresholds() { - slaMonitorService.recordOperation(5); - - SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); - assertEquals(1, stats.totalOperations); - assertEquals(0, stats.violationsOver10ms); - assertEquals(0.0, stats.violationRate); - } - - @Test - @DisplayName("Should record violation over 10ms") - void shouldRecordViolationOver10ms() { - slaMonitorService.recordOperation(15); - - SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); - assertEquals(1, stats.totalOperations); - assertEquals(1, stats.violationsOver10ms); - assertEquals(0, stats.violationsOver50ms); - assertEquals(0, stats.violationsOver100ms); - assertEquals(100.0, stats.violationRate); - assertEquals(1, stats.recentViolations); - } - - @Test - @DisplayName("Should record violation over 50ms") - void shouldRecordViolationOver50ms() { - slaMonitorService.recordOperation(55); - - SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); - assertEquals(1, stats.totalOperations); - assertEquals(1, stats.violationsOver10ms); - assertEquals(1, stats.violationsOver50ms); - assertEquals(0, stats.violationsOver100ms); - assertEquals(1, stats.recentViolations); - } - - @Test - @DisplayName("Should record violation over 100ms") - void shouldRecordViolationOver100ms() { - slaMonitorService.recordOperation(105); - - SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); - assertEquals(1, stats.totalOperations); - assertEquals(1, stats.violationsOver10ms); - assertEquals(1, stats.violationsOver50ms); - assertEquals(1, stats.violationsOver100ms); - assertEquals(1, stats.recentViolations); - } - - @Test - @DisplayName("Should calculate violation rate correctly") - void shouldCalculateViolationRateCorrectly() { - slaMonitorService.recordOperation(5); // No violation - slaMonitorService.recordOperation(15); // Violation > 10ms - slaMonitorService.recordOperation(5); // No violation - slaMonitorService.recordOperation(20); // Violation > 10ms - - SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); - assertEquals(4, stats.totalOperations); - assertEquals(2, stats.violationsOver10ms); - assertEquals(50.0, stats.violationRate); - } - - @Test - @DisplayName("Should reset statistics") - void shouldResetStatistics() { - slaMonitorService.recordOperation(105); - slaMonitorService.reset(); - - SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); - assertEquals(0, stats.totalOperations); - assertEquals(0, stats.violationsOver10ms); - assertEquals(0, stats.recentViolations); - } - - @Test - @DisplayName("Should handle multiple violations in a window") - void shouldHandleMultipleViolationsInWindow() { - for (int i = 0; i < 10; i++) { - slaMonitorService.recordOperation(15); + private SLAMonitorService slaMonitorService; + + @BeforeEach + void setUp() { + slaMonitorService = new SLAMonitorService(); + } + + @Test + @DisplayName("Should initialize with zeroed stats") + void shouldInitializeWithZeroedStats() { + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + + assertEquals(0, stats.totalOperations); + assertEquals(0, stats.violationsOver10ms); + assertEquals(0, stats.violationsOver50ms); + assertEquals(0, stats.violationsOver100ms); + assertEquals(0.0, stats.violationRate); + assertEquals(0, stats.recentViolations); + } + + @Test + @DisplayName("Should record normal operation below thresholds") + void shouldRecordNormalOperationBelowThresholds() { + slaMonitorService.recordOperation(5); + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(1, stats.totalOperations); + assertEquals(0, stats.violationsOver10ms); + assertEquals(0.0, stats.violationRate); + } + + @Test + @DisplayName("Should record violation over 10ms") + void shouldRecordViolationOver10ms() { + slaMonitorService.recordOperation(15); + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(1, stats.totalOperations); + assertEquals(1, stats.violationsOver10ms); + assertEquals(0, stats.violationsOver50ms); + assertEquals(0, stats.violationsOver100ms); + assertEquals(100.0, stats.violationRate); + assertEquals(1, stats.recentViolations); + } + + @Test + @DisplayName("Should record violation over 50ms") + void shouldRecordViolationOver50ms() { + slaMonitorService.recordOperation(55); + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(1, stats.totalOperations); + assertEquals(1, stats.violationsOver10ms); + assertEquals(1, stats.violationsOver50ms); + assertEquals(0, stats.violationsOver100ms); + assertEquals(1, stats.recentViolations); } - SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); - assertEquals(10, stats.recentViolations); - } + @Test + @DisplayName("Should record violation over 100ms") + void shouldRecordViolationOver100ms() { + slaMonitorService.recordOperation(105); + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(1, stats.totalOperations); + assertEquals(1, stats.violationsOver10ms); + assertEquals(1, stats.violationsOver50ms); + assertEquals(1, stats.violationsOver100ms); + assertEquals(1, stats.recentViolations); + } + + @Test + @DisplayName("Should calculate violation rate correctly") + void shouldCalculateViolationRateCorrectly() { + slaMonitorService.recordOperation(5); // No violation + slaMonitorService.recordOperation(15); // Violation > 10ms + slaMonitorService.recordOperation(5); // No violation + slaMonitorService.recordOperation(20); // Violation > 10ms + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(4, stats.totalOperations); + assertEquals(2, stats.violationsOver10ms); + assertEquals(50.0, stats.violationRate); + } + + @Test + @DisplayName("Should reset statistics") + void shouldResetStatistics() { + slaMonitorService.recordOperation(105); + slaMonitorService.reset(); + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(0, stats.totalOperations); + assertEquals(0, stats.violationsOver10ms); + assertEquals(0, stats.recentViolations); + } + + @Test + @DisplayName("Should handle multiple violations in a window") + void shouldHandleMultipleViolationsInWindow() { + for (int i = 0; i < 10; i++) { + slaMonitorService.recordOperation(15); + } + + SLAMonitorService.SLAStats stats = slaMonitorService.getStats(); + assertEquals(10, stats.recentViolations); + } } diff --git a/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java b/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java index 221dceb..6dbf0db 100644 --- a/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java +++ b/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java @@ -13,121 +13,110 @@ @DisplayName("AllocationMode Tests") class AllocationModeTest { - @Nested - @DisplayName("Enum Values Tests") - class EnumValuesTests { - - @Test - @DisplayName("Should have all required allocation modes") - void shouldHaveAllRequiredAllocationModes() { - AllocationMode[] modes = AllocationMode.values(); - assertEquals(6, modes.length, "Should have exactly 6 allocation modes"); - - assertTrue(containsMode(modes, AllocationMode.OFF), "Should contain OFF mode"); - assertTrue( - containsMode(modes, AllocationMode.STEADY_LOAD), "Should contain STEADY_LOAD mode"); - assertTrue( - containsMode(modes, AllocationMode.GROWING_HEAP), "Should contain GROWING_HEAP mode"); - assertTrue( - containsMode(modes, AllocationMode.PROMOTION_STORM), - "Should contain PROMOTION_STORM mode"); - assertTrue( - containsMode(modes, AllocationMode.FRAGMENTATION), "Should contain FRAGMENTATION mode"); - assertTrue( - containsMode(modes, AllocationMode.CROSS_GEN_REFS), "Should contain CROSS_GEN_REFS mode"); + @Nested + @DisplayName("Enum Values Tests") + class EnumValuesTests { + + @Test + @DisplayName("Should have all required allocation modes") + void shouldHaveAllRequiredAllocationModes() { + AllocationMode[] modes = AllocationMode.values(); + assertEquals(6, modes.length, "Should have exactly 6 allocation modes"); + + assertTrue(containsMode(modes, AllocationMode.OFF), "Should contain OFF mode"); + assertTrue(containsMode(modes, AllocationMode.STEADY_LOAD), "Should contain STEADY_LOAD mode"); + assertTrue(containsMode(modes, AllocationMode.GROWING_HEAP), "Should contain GROWING_HEAP mode"); + assertTrue(containsMode(modes, AllocationMode.PROMOTION_STORM), "Should contain PROMOTION_STORM mode"); + assertTrue(containsMode(modes, AllocationMode.FRAGMENTATION), "Should contain FRAGMENTATION mode"); + assertTrue(containsMode(modes, AllocationMode.CROSS_GEN_REFS), "Should contain CROSS_GEN_REFS mode"); + } } - } - @Nested - @DisplayName("Scenario Properties Tests") - class ScenarioPropertiesTests { + @Nested + @DisplayName("Scenario Properties Tests") + class ScenarioPropertiesTests { - @ParameterizedTest - @EnumSource(AllocationMode.class) - @DisplayName("Should have non-null scenario type") - void shouldHaveNonNullScenarioType(AllocationMode mode) { - assertNotNull(mode.getScenarioType(), "ScenarioType should not be null"); - } + @ParameterizedTest + @EnumSource(AllocationMode.class) + @DisplayName("Should have non-null scenario type") + void shouldHaveNonNullScenarioType(AllocationMode mode) { + assertNotNull(mode.getScenarioType(), "ScenarioType should not be null"); + } - @Test - @DisplayName("Should have correct scenario types") - void shouldHaveCorrectScenarioTypes() { - assertEquals(ScenarioType.NONE, AllocationMode.OFF.getScenarioType()); - assertEquals(ScenarioType.STEADY, AllocationMode.STEADY_LOAD.getScenarioType()); - assertEquals(ScenarioType.GROWING, AllocationMode.GROWING_HEAP.getScenarioType()); - assertEquals(ScenarioType.PROMOTION, AllocationMode.PROMOTION_STORM.getScenarioType()); - assertEquals(ScenarioType.FRAGMENTATION, AllocationMode.FRAGMENTATION.getScenarioType()); - assertEquals(ScenarioType.CROSS_REF, AllocationMode.CROSS_GEN_REFS.getScenarioType()); - } + @Test + @DisplayName("Should have correct scenario types") + void shouldHaveCorrectScenarioTypes() { + assertEquals(ScenarioType.NONE, AllocationMode.OFF.getScenarioType()); + assertEquals(ScenarioType.STEADY, AllocationMode.STEADY_LOAD.getScenarioType()); + assertEquals(ScenarioType.GROWING, AllocationMode.GROWING_HEAP.getScenarioType()); + assertEquals(ScenarioType.PROMOTION, AllocationMode.PROMOTION_STORM.getScenarioType()); + assertEquals(ScenarioType.FRAGMENTATION, AllocationMode.FRAGMENTATION.getScenarioType()); + assertEquals(ScenarioType.CROSS_REF, AllocationMode.CROSS_GEN_REFS.getScenarioType()); + } - @ParameterizedTest - @EnumSource(AllocationMode.class) - @DisplayName("Should have valid allocation rates") - void shouldHaveValidAllocationRates(AllocationMode mode) { - assertTrue(mode.getAllocationRateMBPerSec() >= 0, "Allocation rate should be non-negative"); - } + @ParameterizedTest + @EnumSource(AllocationMode.class) + @DisplayName("Should have valid allocation rates") + void shouldHaveValidAllocationRates(AllocationMode mode) { + assertTrue(mode.getAllocationRateMBPerSec() >= 0, "Allocation rate should be non-negative"); + } - @ParameterizedTest - @EnumSource(AllocationMode.class) - @DisplayName("Should have meaningful descriptions") - void shouldHaveMeaningfulDescriptions(AllocationMode mode) { - String description = mode.getDescription(); + @ParameterizedTest + @EnumSource(AllocationMode.class) + @DisplayName("Should have meaningful descriptions") + void shouldHaveMeaningfulDescriptions(AllocationMode mode) { + String description = mode.getDescription(); - assertNotNull(description, "Description should not be null"); - assertFalse(description.trim().isEmpty(), "Description should not be empty"); - } - } - - @Nested - @DisplayName("Edge Cases Tests") - class EdgeCasesTests { - - @Test - @DisplayName("Should handle OFF mode correctly") - void shouldHandleOffModeCorrectly() { - assertEquals(0, AllocationMode.OFF.getAllocationRateMBPerSec()); - assertEquals(0, AllocationMode.OFF.getLiveSetSizeMB()); - assertEquals(ScenarioType.NONE, AllocationMode.OFF.getScenarioType()); + assertNotNull(description, "Description should not be null"); + assertFalse(description.trim().isEmpty(), "Description should not be empty"); + } } - @ParameterizedTest - @ValueSource(strings = {"OFF", "STEADY_LOAD", "GROWING_HEAP", "PROMOTION_STORM"}) - @DisplayName("Should handle enum valueOf correctly") - void shouldHandleEnumValueOfCorrectly(String modeName) { - assertDoesNotThrow( - () -> { - AllocationMode mode = AllocationMode.valueOf(modeName); - assertNotNull(mode, "Mode should not be null"); - assertEquals(modeName, mode.name(), "Mode name should match"); - }, - "valueOf should work for all valid mode names"); - } + @Nested + @DisplayName("Edge Cases Tests") + class EdgeCasesTests { + + @Test + @DisplayName("Should handle OFF mode correctly") + void shouldHandleOffModeCorrectly() { + assertEquals(0, AllocationMode.OFF.getAllocationRateMBPerSec()); + assertEquals(0, AllocationMode.OFF.getLiveSetSizeMB()); + assertEquals(ScenarioType.NONE, AllocationMode.OFF.getScenarioType()); + } - @Test - @DisplayName("Should throw IllegalArgumentException for invalid mode names") - void shouldThrowIllegalArgumentExceptionForInvalidModeNames() { - String[] invalidNames = {"INVALID", "low", "high", "", " ", null}; - - for (String invalidName : invalidNames) { - if (invalidName != null) { - assertThrows( - IllegalArgumentException.class, - () -> { - AllocationMode.valueOf(invalidName); - }, - () -> String.format("Should throw for invalid mode name: '%s'", invalidName)); + @ParameterizedTest + @ValueSource(strings = {"OFF", "STEADY_LOAD", "GROWING_HEAP", "PROMOTION_STORM"}) + @DisplayName("Should handle enum valueOf correctly") + void shouldHandleEnumValueOfCorrectly(String modeName) { + assertDoesNotThrow(() -> { + AllocationMode mode = AllocationMode.valueOf(modeName); + assertNotNull(mode, "Mode should not be null"); + assertEquals(modeName, mode.name(), "Mode name should match"); + }, "valueOf should work for all valid mode names"); + } + + @Test + @DisplayName("Should throw IllegalArgumentException for invalid mode names") + void shouldThrowIllegalArgumentExceptionForInvalidModeNames() { + String[] invalidNames = {"INVALID", "low", "high", "", " ", null}; + + for (String invalidName : invalidNames) { + if (invalidName != null) { + assertThrows(IllegalArgumentException.class, () -> { + AllocationMode.valueOf(invalidName); + }, () -> String.format("Should throw for invalid mode name: '%s'", invalidName)); + } + } } - } } - } - - /** Helper method to check if array contains specific mode */ - private boolean containsMode(AllocationMode[] modes, AllocationMode targetMode) { - for (AllocationMode mode : modes) { - if (mode == targetMode) { - return true; - } + + /** Helper method to check if array contains specific mode */ + private boolean containsMode(AllocationMode[] modes, AllocationMode targetMode) { + for (AllocationMode mode : modes) { + if (mode == targetMode) { + return true; + } + } + return false; } - return false; - } } diff --git a/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java b/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java index 863b737..23f23bc 100644 --- a/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java +++ b/src/test/java/fish/payara/trader/rest/GCStatsResourceTest.java @@ -23,78 +23,82 @@ @DisplayName("GCStatsResource Tests") class GCStatsResourceTest { - @Mock private GCStatsService gcStatsService; - @Mock private MemoryPressureService memoryPressureService; - @Mock private MarketDataPublisher publisher; - @Mock private SLAMonitorService slaMonitor; - @Mock private GCPauseMonitor gcPauseMonitor; - - @InjectMocks private GCStatsResource resource; - - @Test - @DisplayName("Should return SLA stats") - void shouldReturnSLAStats() { - SLAMonitorService.SLAStats mockStats = new SLAMonitorService.SLAStats(100, 5, 2, 1, 5.0, 3); - when(slaMonitor.getStats()).thenReturn(mockStats); - - Response response = resource.getSLAStats(); - - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - assertEquals(mockStats, response.getEntity()); - } - - @Test - @DisplayName("Should reset SLA stats") - void shouldResetSLAStats() { - Response response = resource.resetSLAStats(); - - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - verify(slaMonitor).reset(); - } - - @Test - @DisplayName("Should return GC pause stats") - void shouldReturnGCPauseStats() { - GCPauseMonitor.GCPauseStats mockStats = - new GCPauseMonitor.GCPauseStats(10, 100, 10.0, 10, 20, 30, 40, 50, 5, 2, 1, 10); - when(gcPauseMonitor.getStats()).thenReturn(mockStats); - - Response response = resource.getGCPauseStats(); - - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - assertEquals(mockStats, response.getEntity()); - } - - @Test - @DisplayName("Should return accurate comparison data") - void shouldReturnAccurateComparisonData() { - when(memoryPressureService.getCurrentMode()).thenReturn(AllocationMode.STEADY_LOAD); - when(publisher.getMessagesPublished()).thenReturn(5000L); - when(gcStatsService.collectGCStats()).thenReturn(Collections.emptyList()); - - GCPauseMonitor.GCPauseStats mockPauseStats = - new GCPauseMonitor.GCPauseStats(10, 100, 10.0, 10, 20, 30, 40, 50, 5, 2, 1, 10); - when(gcPauseMonitor.getStats()).thenReturn(mockPauseStats); - - Response response = resource.getComparison(); - - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - @SuppressWarnings("unchecked") - Map entity = (Map) response.getEntity(); - - assertEquals(AllocationMode.STEADY_LOAD, entity.get("allocationMode")); - assertEquals(5000L, entity.get("messageRate")); - assertEquals(10.0, ((Number) entity.get("pauseP50Ms")).doubleValue()); - assertEquals(50L, entity.get("pauseMaxMs")); - assertEquals(5L, entity.get("slaViolations10ms")); - } - - @Test - @DisplayName("Should reset GC stats") - void shouldResetGCStats() { - Response response = resource.resetStats(); - - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - verify(gcStatsService).resetStats(); - } + @Mock + private GCStatsService gcStatsService; + @Mock + private MemoryPressureService memoryPressureService; + @Mock + private MarketDataPublisher publisher; + @Mock + private SLAMonitorService slaMonitor; + @Mock + private GCPauseMonitor gcPauseMonitor; + + @InjectMocks + private GCStatsResource resource; + + @Test + @DisplayName("Should return SLA stats") + void shouldReturnSLAStats() { + SLAMonitorService.SLAStats mockStats = new SLAMonitorService.SLAStats(100, 5, 2, 1, 5.0, 3); + when(slaMonitor.getStats()).thenReturn(mockStats); + + Response response = resource.getSLAStats(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + assertEquals(mockStats, response.getEntity()); + } + + @Test + @DisplayName("Should reset SLA stats") + void shouldResetSLAStats() { + Response response = resource.resetSLAStats(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + verify(slaMonitor).reset(); + } + + @Test + @DisplayName("Should return GC pause stats") + void shouldReturnGCPauseStats() { + GCPauseMonitor.GCPauseStats mockStats = new GCPauseMonitor.GCPauseStats(10, 100, 10.0, 10, 20, 30, 40, 50, 5, 2, 1, 10); + when(gcPauseMonitor.getStats()).thenReturn(mockStats); + + Response response = resource.getGCPauseStats(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + assertEquals(mockStats, response.getEntity()); + } + + @Test + @DisplayName("Should return accurate comparison data") + void shouldReturnAccurateComparisonData() { + when(memoryPressureService.getCurrentMode()).thenReturn(AllocationMode.STEADY_LOAD); + when(publisher.getMessagesPublished()).thenReturn(5000L); + when(gcStatsService.collectGCStats()).thenReturn(Collections.emptyList()); + + GCPauseMonitor.GCPauseStats mockPauseStats = new GCPauseMonitor.GCPauseStats(10, 100, 10.0, 10, 20, 30, 40, 50, 5, 2, 1, 10); + when(gcPauseMonitor.getStats()).thenReturn(mockPauseStats); + + Response response = resource.getComparison(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map entity = (Map) response.getEntity(); + + assertEquals(AllocationMode.STEADY_LOAD, entity.get("allocationMode")); + assertEquals(5000L, entity.get("messageRate")); + assertEquals(10.0, ((Number) entity.get("pauseP50Ms")).doubleValue()); + assertEquals(50L, entity.get("pauseMaxMs")); + assertEquals(5L, entity.get("slaViolations10ms")); + } + + @Test + @DisplayName("Should reset GC stats") + void shouldResetGCStats() { + Response response = resource.resetStats(); + + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + verify(gcStatsService).resetStats(); + } } diff --git a/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java b/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java index af99471..7dfd5c0 100644 --- a/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java +++ b/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java @@ -18,61 +18,62 @@ @DisplayName("MemoryPressureResource Tests") class MemoryPressureResourceTest { - @Mock private MemoryPressureService pressureService; + @Mock + private MemoryPressureService pressureService; - @InjectMocks private MemoryPressureResource resource; + @InjectMocks + private MemoryPressureResource resource; - @Test - @DisplayName("Should return current status") - void shouldReturnCurrentStatus() { - when(pressureService.getCurrentMode()).thenReturn(AllocationMode.STEADY_LOAD); - when(pressureService.isRunning()).thenReturn(true); + @Test + @DisplayName("Should return current status") + void shouldReturnCurrentStatus() { + when(pressureService.getCurrentMode()).thenReturn(AllocationMode.STEADY_LOAD); + when(pressureService.isRunning()).thenReturn(true); - Response response = resource.getStatus(); + Response response = resource.getStatus(); - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - @SuppressWarnings("unchecked") - Map entity = (Map) response.getEntity(); - assertEquals("STEADY_LOAD", entity.get("currentMode")); - assertEquals(true, entity.get("running")); - } + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map entity = (Map) response.getEntity(); + assertEquals("STEADY_LOAD", entity.get("currentMode")); + assertEquals(true, entity.get("running")); + } - @Test - @DisplayName("Should set allocation mode successfully") - void shouldSetAllocationModeSuccessfully() { - Response response = resource.setMode("steady_load"); + @Test + @DisplayName("Should set allocation mode successfully") + void shouldSetAllocationModeSuccessfully() { + Response response = resource.setMode("steady_load"); - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - verify(pressureService).setAllocationMode(AllocationMode.STEADY_LOAD); + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + verify(pressureService).setAllocationMode(AllocationMode.STEADY_LOAD); - @SuppressWarnings("unchecked") - Map entity = (Map) response.getEntity(); - assertTrue((Boolean) entity.get("success")); - assertEquals("STEADY_LOAD", entity.get("mode")); - } + @SuppressWarnings("unchecked") + Map entity = (Map) response.getEntity(); + assertTrue((Boolean) entity.get("success")); + assertEquals("STEADY_LOAD", entity.get("mode")); + } - @Test - @DisplayName("Should return bad request for invalid mode") - void shouldReturnBadRequestForInvalidMode() { - Response response = resource.setMode("invalid_mode"); + @Test + @DisplayName("Should return bad request for invalid mode") + void shouldReturnBadRequestForInvalidMode() { + Response response = resource.setMode("invalid_mode"); - assertEquals(Response.Status.BAD_REQUEST.getStatusCode(), response.getStatus()); - @SuppressWarnings("unchecked") - Map entity = (Map) response.getEntity(); - assertFalse((Boolean) entity.get("success")); - assertTrue(((String) entity.get("error")).contains("Invalid mode")); - } + assertEquals(Response.Status.BAD_REQUEST.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map entity = (Map) response.getEntity(); + assertFalse((Boolean) entity.get("success")); + assertTrue(((String) entity.get("error")).contains("Invalid mode")); + } - @Test - @DisplayName("Should return all modes") - void shouldReturnAllModes() { - Response response = resource.getModes(); + @Test + @DisplayName("Should return all modes") + void shouldReturnAllModes() { + Response response = resource.getModes(); - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - @SuppressWarnings("unchecked") - Map> entity = - (Map>) response.getEntity(); - assertTrue(entity.containsKey("STEADY_LOAD")); - assertTrue(entity.containsKey("PROMOTION_STORM")); - } + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map> entity = (Map>) response.getEntity(); + assertTrue(entity.containsKey("STEADY_LOAD")); + assertTrue(entity.containsKey("PROMOTION_STORM")); + } } diff --git a/src/test/java/fish/payara/trader/rest/StatusResourceTest.java b/src/test/java/fish/payara/trader/rest/StatusResourceTest.java index 827c0a0..776ccac 100644 --- a/src/test/java/fish/payara/trader/rest/StatusResourceTest.java +++ b/src/test/java/fish/payara/trader/rest/StatusResourceTest.java @@ -21,359 +21,354 @@ @DisplayName("StatusResource Tests") class StatusResourceTest { - @Mock private AeronSubscriberBean subscriber; - - @Mock private MarketDataPublisher publisher; - - @Mock private MarketDataBroadcaster broadcaster; - - @InjectMocks private StatusResource statusResource; - - @Nested - @DisplayName("getStatus Method Tests") - class GetStatusMethodTests { - - @Test - @DisplayName("Should return complete status information") - void shouldReturnCompleteStatusInformation() { - // Arrange - String subscriberStatus = "Channel: aeron:ipc, Stream: 1001, Running: true"; - long localMessagesPublished = 5000L; - long clusterMessagesPublished = 25000L; - int activeSessions = 42; - String expectedInstanceName = "test-instance-1"; - - when(subscriber.getStatus()).thenReturn(subscriberStatus); - when(publisher.getMessagesPublished()).thenReturn(localMessagesPublished); - when(publisher.getClusterMessagesPublished()).thenReturn(clusterMessagesPublished); - when(broadcaster.getSessionCount()).thenReturn(activeSessions); - - // Set environment variable - note: tests can't modify real env vars, so we expect default - // behavior - // In this test, we expect "standalone" since we can't set actual environment variables - - try { - // Act - Response response = statusResource.getStatus(); - - // Assert - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - // Skip media type check as Response.getMediaType() may return null in tests - - @SuppressWarnings("unchecked") - Map status = (Map) response.getEntity(); - - // Verify required fields - assertEquals("TradeStreamEE", status.get("application")); - assertEquals( - "High-frequency trading dashboard with Aeron and SBE", status.get("description")); - assertEquals("standalone", status.get("instance")); // Default value - assertEquals(subscriberStatus, status.get("subscriber")); - assertEquals("UP", status.get("status")); - - // Verify publisher stats - @SuppressWarnings("unchecked") - Map publisherStats = (Map) status.get("publisher"); - assertEquals(localMessagesPublished, publisherStats.get("localMessagesPublished")); - assertEquals(clusterMessagesPublished, publisherStats.get("clusterMessagesPublished")); - - // Verify websocket stats - @SuppressWarnings("unchecked") - Map websocketStats = (Map) status.get("websocket"); - assertEquals(activeSessions, websocketStats.get("activeSessions")); - - } finally { - // No cleanup needed since we can't modify env vars in tests - } - - // Verify mocks were called - verify(subscriber).getStatus(); - verify(publisher).getMessagesPublished(); - verify(publisher).getClusterMessagesPublished(); - verify(broadcaster).getSessionCount(); - } + @Mock + private AeronSubscriberBean subscriber; + + @Mock + private MarketDataPublisher publisher; + + @Mock + private MarketDataBroadcaster broadcaster; + + @InjectMocks + private StatusResource statusResource; + + @Nested + @DisplayName("getStatus Method Tests") + class GetStatusMethodTests { + + @Test + @DisplayName("Should return complete status information") + void shouldReturnCompleteStatusInformation() { + // Arrange + String subscriberStatus = "Channel: aeron:ipc, Stream: 1001, Running: true"; + long localMessagesPublished = 5000L; + long clusterMessagesPublished = 25000L; + int activeSessions = 42; + String expectedInstanceName = "test-instance-1"; + + when(subscriber.getStatus()).thenReturn(subscriberStatus); + when(publisher.getMessagesPublished()).thenReturn(localMessagesPublished); + when(publisher.getClusterMessagesPublished()).thenReturn(clusterMessagesPublished); + when(broadcaster.getSessionCount()).thenReturn(activeSessions); + + // Set environment variable - note: tests can't modify real env vars, so we expect default + // behavior + // In this test, we expect "standalone" since we can't set actual environment variables + + try { + // Act + Response response = statusResource.getStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + // Skip media type check as Response.getMediaType() may return null in tests + + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + + // Verify required fields + assertEquals("TradeStreamEE", status.get("application")); + assertEquals("High-frequency trading dashboard with Aeron and SBE", status.get("description")); + assertEquals("standalone", status.get("instance")); // Default value + assertEquals(subscriberStatus, status.get("subscriber")); + assertEquals("UP", status.get("status")); + + // Verify publisher stats + @SuppressWarnings("unchecked") + Map publisherStats = (Map) status.get("publisher"); + assertEquals(localMessagesPublished, publisherStats.get("localMessagesPublished")); + assertEquals(clusterMessagesPublished, publisherStats.get("clusterMessagesPublished")); + + // Verify websocket stats + @SuppressWarnings("unchecked") + Map websocketStats = (Map) status.get("websocket"); + assertEquals(activeSessions, websocketStats.get("activeSessions")); + + } finally { + // No cleanup needed since we can't modify env vars in tests + } + + // Verify mocks were called + verify(subscriber).getStatus(); + verify(publisher).getMessagesPublished(); + verify(publisher).getClusterMessagesPublished(); + verify(broadcaster).getSessionCount(); + } - @Test - @DisplayName("Should use default instance name when environment variable is not set") - void shouldUseDefaultInstanceNameWhenEnvironmentVariableIsNotSet() { - // Arrange - when(subscriber.getStatus()).thenReturn("Running"); - when(publisher.getMessagesPublished()).thenReturn(1000L); - when(publisher.getClusterMessagesPublished()).thenReturn(5000L); - when(broadcaster.getSessionCount()).thenReturn(10); - - // Note: Tests can't modify real environment variables, so we expect default behavior - try { - // Act - Response response = statusResource.getStatus(); - - // Assert - @SuppressWarnings("unchecked") - Map status = (Map) response.getEntity(); - assertEquals("standalone", status.get("instance"), "Should use default instance name"); - - } finally { - // No cleanup needed - } - } + @Test + @DisplayName("Should use default instance name when environment variable is not set") + void shouldUseDefaultInstanceNameWhenEnvironmentVariableIsNotSet() { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + // Note: Tests can't modify real environment variables, so we expect default behavior + try { + // Act + Response response = statusResource.getStatus(); + + // Assert + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + assertEquals("standalone", status.get("instance"), "Should use default instance name"); + + } finally { + // No cleanup needed + } + } - @Test - @DisplayName("Should handle null subscriber status gracefully") - void shouldHandleNullSubscriberStatusGracefully() { - // Arrange - when(subscriber.getStatus()).thenReturn(null); - when(publisher.getMessagesPublished()).thenReturn(1000L); - when(publisher.getClusterMessagesPublished()).thenReturn(5000L); - when(broadcaster.getSessionCount()).thenReturn(10); - - // Act - Response response = statusResource.getStatus(); - - // Assert - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - @SuppressWarnings("unchecked") - Map status = (Map) response.getEntity(); - assertNull(status.get("subscriber"), "Null subscriber status should be handled"); - } + @Test + @DisplayName("Should handle null subscriber status gracefully") + void shouldHandleNullSubscriberStatusGracefully() { + // Arrange + when(subscriber.getStatus()).thenReturn(null); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + // Act + Response response = statusResource.getStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + assertNull(status.get("subscriber"), "Null subscriber status should be handled"); + } - @Test - @DisplayName("Should handle zero values gracefully") - void shouldHandleZeroValuesGracefully() { - // Arrange - when(subscriber.getStatus()).thenReturn("Running"); - when(publisher.getMessagesPublished()).thenReturn(0L); - when(publisher.getClusterMessagesPublished()).thenReturn(0L); - when(broadcaster.getSessionCount()).thenReturn(0); - - // Act - Response response = statusResource.getStatus(); - - // Assert - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - @SuppressWarnings("unchecked") - Map status = (Map) response.getEntity(); - - @SuppressWarnings("unchecked") - Map publisherStats = (Map) status.get("publisher"); - assertEquals(0L, publisherStats.get("localMessagesPublished")); - assertEquals(0L, publisherStats.get("clusterMessagesPublished")); - - @SuppressWarnings("unchecked") - Map websocketStats = (Map) status.get("websocket"); - assertEquals(0, websocketStats.get("activeSessions")); - } + @Test + @DisplayName("Should handle zero values gracefully") + void shouldHandleZeroValuesGracefully() { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(0L); + when(publisher.getClusterMessagesPublished()).thenReturn(0L); + when(broadcaster.getSessionCount()).thenReturn(0); + + // Act + Response response = statusResource.getStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + + @SuppressWarnings("unchecked") + Map publisherStats = (Map) status.get("publisher"); + assertEquals(0L, publisherStats.get("localMessagesPublished")); + assertEquals(0L, publisherStats.get("clusterMessagesPublished")); + + @SuppressWarnings("unchecked") + Map websocketStats = (Map) status.get("websocket"); + assertEquals(0, websocketStats.get("activeSessions")); + } - @Test - @DisplayName("Should handle very large values gracefully") - void shouldHandleVeryLargeValuesGracefully() { - // Arrange - long largeLocalMessages = Long.MAX_VALUE; - long largeClusterMessages = Long.MAX_VALUE - 1; - int largeSessions = Integer.MAX_VALUE - 1; // Leave room for additions - - when(subscriber.getStatus()).thenReturn("Running"); - when(publisher.getMessagesPublished()).thenReturn(largeLocalMessages); - when(publisher.getClusterMessagesPublished()).thenReturn(largeClusterMessages); - when(broadcaster.getSessionCount()).thenReturn(largeSessions); - - // Act - Response response = statusResource.getStatus(); - - // Assert - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - @SuppressWarnings("unchecked") - Map status = (Map) response.getEntity(); - - @SuppressWarnings("unchecked") - Map publisherStats = (Map) status.get("publisher"); - assertEquals(largeLocalMessages, publisherStats.get("localMessagesPublished")); - assertEquals(largeClusterMessages, publisherStats.get("clusterMessagesPublished")); - - @SuppressWarnings("unchecked") - Map websocketStats = (Map) status.get("websocket"); - assertEquals(largeSessions, websocketStats.get("activeSessions")); + @Test + @DisplayName("Should handle very large values gracefully") + void shouldHandleVeryLargeValuesGracefully() { + // Arrange + long largeLocalMessages = Long.MAX_VALUE; + long largeClusterMessages = Long.MAX_VALUE - 1; + int largeSessions = Integer.MAX_VALUE - 1; // Leave room for additions + + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(largeLocalMessages); + when(publisher.getClusterMessagesPublished()).thenReturn(largeClusterMessages); + when(broadcaster.getSessionCount()).thenReturn(largeSessions); + + // Act + Response response = statusResource.getStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + + @SuppressWarnings("unchecked") + Map publisherStats = (Map) status.get("publisher"); + assertEquals(largeLocalMessages, publisherStats.get("localMessagesPublished")); + assertEquals(largeClusterMessages, publisherStats.get("clusterMessagesPublished")); + + @SuppressWarnings("unchecked") + Map websocketStats = (Map) status.get("websocket"); + assertEquals(largeSessions, websocketStats.get("activeSessions")); + } } - } - @Nested - @DisplayName("getClusterStatus Method Tests") - class GetClusterStatusMethodTests { + @Nested + @DisplayName("getClusterStatus Method Tests") + class GetClusterStatusMethodTests { - @Test - @DisplayName("Should return standalone status when Hazelcast is null") - void shouldReturnStandaloneStatusWhenHazelcastIsNull() { - // Act - hazelcastInstance is injected as null in this test class + @Test + @DisplayName("Should return standalone status when Hazelcast is null") + void shouldReturnStandaloneStatusWhenHazelcastIsNull() { + // Act - hazelcastInstance is injected as null in this test class - // Act - Response response = statusResource.getClusterStatus(); + // Act + Response response = statusResource.getClusterStatus(); - // Assert - assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); - @SuppressWarnings("unchecked") - Map clusterInfo = (Map) response.getEntity(); + // Assert + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus()); + @SuppressWarnings("unchecked") + Map clusterInfo = (Map) response.getEntity(); - assertFalse((Boolean) clusterInfo.get("clustered")); - assertEquals( - "Running in standalone mode (Hazelcast not available)", clusterInfo.get("message")); - } - } - - @Nested - @DisplayName("Dependency Injection Tests") - class DependencyInjectionTests { - - @Test - @DisplayName("Should properly inject all dependencies") - void shouldProperlyInjectAllDependencies() { - // Test that all mocks are properly injected - assertNotNull(subscriber, "Subscriber should be injected"); - assertNotNull(publisher, "Publisher should be injected"); - assertNotNull(broadcaster, "Broadcaster should be injected"); - assertNotNull(statusResource, "StatusResource should be created"); - } - } - - @Nested - @DisplayName("Response Format Tests") - class ResponseFormatTests { - - @Test - @DisplayName("Should always return JSON response") - void shouldAlwaysReturnJSONResponse() { - // Arrange - when(subscriber.getStatus()).thenReturn("Running"); - when(publisher.getMessagesPublished()).thenReturn(1000L); - when(publisher.getClusterMessagesPublished()).thenReturn(5000L); - when(broadcaster.getSessionCount()).thenReturn(10); - - // Act - Response statusResponse = statusResource.getStatus(); - Response clusterResponse = statusResource.getClusterStatus(); - - // Assert - skip media type checks as they may return null in tests - assertNotNull(statusResponse, "Status response should not be null"); - assertNotNull(clusterResponse, "Cluster response should not be null"); + assertFalse((Boolean) clusterInfo.get("clustered")); + assertEquals("Running in standalone mode (Hazelcast not available)", clusterInfo.get("message")); + } } - @Test - @DisplayName("Should always return success status codes for normal operations") - void shouldAlwaysReturnSuccessStatusCodesForNormalOperations() { - // Arrange - when(subscriber.getStatus()).thenReturn("Running"); - when(publisher.getMessagesPublished()).thenReturn(1000L); - when(publisher.getClusterMessagesPublished()).thenReturn(5000L); - when(broadcaster.getSessionCount()).thenReturn(10); - - // Act - Response statusResponse = statusResource.getStatus(); - Response clusterResponse = statusResource.getClusterStatus(); - - // Assert - assertEquals(Response.Status.OK.getStatusCode(), statusResponse.getStatus()); - assertEquals(Response.Status.OK.getStatusCode(), clusterResponse.getStatus()); + @Nested + @DisplayName("Dependency Injection Tests") + class DependencyInjectionTests { + + @Test + @DisplayName("Should properly inject all dependencies") + void shouldProperlyInjectAllDependencies() { + // Test that all mocks are properly injected + assertNotNull(subscriber, "Subscriber should be injected"); + assertNotNull(publisher, "Publisher should be injected"); + assertNotNull(broadcaster, "Broadcaster should be injected"); + assertNotNull(statusResource, "StatusResource should be created"); + } } - } - - @Nested - @DisplayName("Environment Variable Tests") - class EnvironmentVariableTests { - - @Test - @DisplayName("Should handle different instance name environment variables") - void shouldHandleDifferentInstanceNameEnvironmentVariables() { - String[] testNames = { - "", " ", "\tinstance-1", "instance-1", "test-instance-123", "production-instance" - }; - - for (String instanceName : testNames) { - // Arrange - when(subscriber.getStatus()).thenReturn("Running"); - when(publisher.getMessagesPublished()).thenReturn(1000L); - when(publisher.getClusterMessagesPublished()).thenReturn(5000L); - when(broadcaster.getSessionCount()).thenReturn(10); - - // Note: Tests can't modify real environment variables, so we always expect "standalone" - try { - // Act - Response response = statusResource.getStatus(); - - // Assert - @SuppressWarnings("unchecked") - Map status = (Map) response.getEntity(); - assertEquals("standalone", status.get("instance")); - - } finally { - // No cleanup needed + + @Nested + @DisplayName("Response Format Tests") + class ResponseFormatTests { + + @Test + @DisplayName("Should always return JSON response") + void shouldAlwaysReturnJSONResponse() { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + // Act + Response statusResponse = statusResource.getStatus(); + Response clusterResponse = statusResource.getClusterStatus(); + + // Assert - skip media type checks as they may return null in tests + assertNotNull(statusResponse, "Status response should not be null"); + assertNotNull(clusterResponse, "Cluster response should not be null"); + } + + @Test + @DisplayName("Should always return success status codes for normal operations") + void shouldAlwaysReturnSuccessStatusCodesForNormalOperations() { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + // Act + Response statusResponse = statusResource.getStatus(); + Response clusterResponse = statusResource.getClusterStatus(); + + // Assert + assertEquals(Response.Status.OK.getStatusCode(), statusResponse.getStatus()); + assertEquals(Response.Status.OK.getStatusCode(), clusterResponse.getStatus()); } - } } - } - - @Nested - @DisplayName("Edge Cases Tests") - class EdgeCasesTests { - - @Test - @DisplayName("Should handle multiple rapid calls correctly") - void shouldHandleMultipleRapidCallsCorrectly() { - // Arrange - when(subscriber.getStatus()).thenReturn("Running"); - when(publisher.getMessagesPublished()).thenReturn(1000L, 2000L, 3000L); - when(publisher.getClusterMessagesPublished()).thenReturn(5000L, 10000L, 15000L); - when(broadcaster.getSessionCount()).thenReturn(10, 20, 30); - - // Act - Response response1 = statusResource.getStatus(); - Response response2 = statusResource.getStatus(); - Response response3 = statusResource.getStatus(); - - // Assert - All calls should succeed - assertEquals(Response.Status.OK.getStatusCode(), response1.getStatus()); - assertEquals(Response.Status.OK.getStatusCode(), response2.getStatus()); - assertEquals(Response.Status.OK.getStatusCode(), response3.getStatus()); - - // Verify mocks were called correct number of times - verify(publisher, times(3)).getMessagesPublished(); - verify(publisher, times(3)).getClusterMessagesPublished(); + + @Nested + @DisplayName("Environment Variable Tests") + class EnvironmentVariableTests { + + @Test + @DisplayName("Should handle different instance name environment variables") + void shouldHandleDifferentInstanceNameEnvironmentVariables() { + String[] testNames = {"", " ", "\tinstance-1", "instance-1", "test-instance-123", "production-instance"}; + + for (String instanceName : testNames) { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + // Note: Tests can't modify real environment variables, so we always expect "standalone" + try { + // Act + Response response = statusResource.getStatus(); + + // Assert + @SuppressWarnings("unchecked") + Map status = (Map) response.getEntity(); + assertEquals("standalone", status.get("instance")); + + } finally { + // No cleanup needed + } + } + } } - @Test - @DisplayName("Should handle concurrent access safely") - void shouldHandleConcurrentAccessSafely() throws InterruptedException { - // Arrange - when(subscriber.getStatus()).thenReturn("Running"); - when(publisher.getMessagesPublished()).thenReturn(1000L); - when(publisher.getClusterMessagesPublished()).thenReturn(5000L); - when(broadcaster.getSessionCount()).thenReturn(10); - - int threadCount = 10; - Thread[] threads = new Thread[threadCount]; - Response[] responses = new Response[threadCount]; - - // Act - for (int i = 0; i < threadCount; i++) { - final int index = i; - threads[i] = - new Thread( - () -> { - responses[index] = statusResource.getStatus(); + @Nested + @DisplayName("Edge Cases Tests") + class EdgeCasesTests { + + @Test + @DisplayName("Should handle multiple rapid calls correctly") + void shouldHandleMultipleRapidCallsCorrectly() { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L, 2000L, 3000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L, 10000L, 15000L); + when(broadcaster.getSessionCount()).thenReturn(10, 20, 30); + + // Act + Response response1 = statusResource.getStatus(); + Response response2 = statusResource.getStatus(); + Response response3 = statusResource.getStatus(); + + // Assert - All calls should succeed + assertEquals(Response.Status.OK.getStatusCode(), response1.getStatus()); + assertEquals(Response.Status.OK.getStatusCode(), response2.getStatus()); + assertEquals(Response.Status.OK.getStatusCode(), response3.getStatus()); + + // Verify mocks were called correct number of times + verify(publisher, times(3)).getMessagesPublished(); + verify(publisher, times(3)).getClusterMessagesPublished(); + } + + @Test + @DisplayName("Should handle concurrent access safely") + void shouldHandleConcurrentAccessSafely() throws InterruptedException { + // Arrange + when(subscriber.getStatus()).thenReturn("Running"); + when(publisher.getMessagesPublished()).thenReturn(1000L); + when(publisher.getClusterMessagesPublished()).thenReturn(5000L); + when(broadcaster.getSessionCount()).thenReturn(10); + + int threadCount = 10; + Thread[] threads = new Thread[threadCount]; + Response[] responses = new Response[threadCount]; + + // Act + for (int i = 0; i < threadCount; i++) { + final int index = i; + threads[i] = new Thread(() -> { + responses[index] = statusResource.getStatus(); }); - threads[i].start(); - } - - // Wait for all threads to complete - for (Thread thread : threads) { - thread.join(5000); - } - - // Assert - All responses should be successful - for (Response response : responses) { - assertNotNull(response, "Response should not be null"); - assertEquals( - Response.Status.OK.getStatusCode(), - response.getStatus(), - "All responses should be successful"); - } + threads[i].start(); + } + + // Wait for all threads to complete + for (Thread thread : threads) { + thread.join(5000); + } + + // Assert - All responses should be successful + for (Response response : responses) { + assertNotNull(response, "Response should not be null"); + assertEquals(Response.Status.OK.getStatusCode(), response.getStatus(), "All responses should be successful"); + } + } } - } } diff --git a/src/test/java/fish/payara/trader/utils/GCTestUtil.java b/src/test/java/fish/payara/trader/utils/GCTestUtil.java index 6a8679b..ac14a77 100644 --- a/src/test/java/fish/payara/trader/utils/GCTestUtil.java +++ b/src/test/java/fish/payara/trader/utils/GCTestUtil.java @@ -11,193 +11,189 @@ /** Utility class for GC testing and simulation */ public class GCTestUtil { - private static final MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean(); - private static final List gcBeans = - ManagementFactory.getGarbageCollectorMXBeans(); - - /** Captures initial GC statistics */ - public static GCStatistics captureInitialStats() { - long totalCollections = 0; - long totalTime = 0; - - for (GarbageCollectorMXBean gcBean : gcBeans) { - totalCollections += gcBean.getCollectionCount(); - totalTime += gcBean.getCollectionTime(); - } + private static final MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean(); + private static final List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); - return new GCStatistics(totalCollections, totalTime, getHeapUsage()); - } + /** Captures initial GC statistics */ + public static GCStatistics captureInitialStats() { + long totalCollections = 0; + long totalTime = 0; - /** Calculates GC statistics after a test */ - public static GCStatistics calculateDelta(GCStatistics initial) { - long totalCollections = 0; - long totalTime = 0; + for (GarbageCollectorMXBean gcBean : gcBeans) { + totalCollections += gcBean.getCollectionCount(); + totalTime += gcBean.getCollectionTime(); + } - for (GarbageCollectorMXBean gcBean : gcBeans) { - totalCollections += gcBean.getCollectionCount(); - totalTime += gcBean.getCollectionTime(); + return new GCStatistics(totalCollections, totalTime, getHeapUsage()); } - return new GCStatistics( - totalCollections - initial.collections, totalTime - initial.time, getHeapUsage()); - } + /** Calculates GC statistics after a test */ + public static GCStatistics calculateDelta(GCStatistics initial) { + long totalCollections = 0; + long totalTime = 0; - /** Gets current heap usage */ - public static MemoryUsage getHeapUsage() { - return memoryBean.getHeapMemoryUsage(); - } + for (GarbageCollectorMXBean gcBean : gcBeans) { + totalCollections += gcBean.getCollectionCount(); + totalTime += gcBean.getCollectionTime(); + } - /** Allocates memory to trigger GC */ - public static void allocateMemory(int sizeMB) { - allocateMemory(sizeMB, 10); - } + return new GCStatistics(totalCollections - initial.collections, totalTime - initial.time, getHeapUsage()); + } - /** Allocates memory with controlled pattern */ - public static void allocateMemory(int sizeMB, int chunks) { - int chunkSize = (sizeMB * 1024 * 1024) / chunks; - List allocations = new ArrayList<>(); + /** Gets current heap usage */ + public static MemoryUsage getHeapUsage() { + return memoryBean.getHeapMemoryUsage(); + } + + /** Allocates memory to trigger GC */ + public static void allocateMemory(int sizeMB) { + allocateMemory(sizeMB, 10); + } - try { - for (int i = 0; i < chunks; i++) { - allocations.add(new byte[chunkSize]); + /** Allocates memory with controlled pattern */ + public static void allocateMemory(int sizeMB, int chunks) { + int chunkSize = (sizeMB * 1024 * 1024) / chunks; + List allocations = new ArrayList<>(); - // Small delay to simulate real usage pattern - if (i % 10 == 0) { - Thread.yield(); + try { + for (int i = 0; i < chunks; i++) { + allocations.add(new byte[chunkSize]); + + // Small delay to simulate real usage pattern + if (i % 10 == 0) { + Thread.yield(); + } + } + } finally { + // Let allocations go out of scope to trigger GC + allocations.clear(); } - } - } finally { - // Let allocations go out of scope to trigger GC - allocations.clear(); } - } - - /** Creates memory pressure in background thread */ - public static MemoryPressureThread createMemoryPressure( - int allocationRateMB, int durationSeconds) { - MemoryPressureThread pressureThread = - new MemoryPressureThread(allocationRateMB, durationSeconds); - return pressureThread; - } - - /** Forces a garbage collection and waits for completion */ - public static void forceGC() { - System.gc(); - System.runFinalization(); - - // Small delay to allow GC to complete - try { - Thread.sleep(100); - } catch (InterruptedException e) { - Thread.currentThread().interrupt(); + + /** Creates memory pressure in background thread */ + public static MemoryPressureThread createMemoryPressure(int allocationRateMB, int durationSeconds) { + MemoryPressureThread pressureThread = new MemoryPressureThread(allocationRateMB, durationSeconds); + return pressureThread; } - } - /** Measures GC pause time for a specific operation */ - public static long measurePauseTime(Runnable operation) { - GCStatistics before = captureInitialStats(); + /** Forces a garbage collection and waits for completion */ + public static void forceGC() { + System.gc(); + System.runFinalization(); - long startTime = System.nanoTime(); - operation.run(); - long endTime = System.nanoTime(); + // Small delay to allow GC to complete + try { + Thread.sleep(100); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + } + } - GCStatistics after = calculateDelta(before); + /** Measures GC pause time for a specific operation */ + public static long measurePauseTime(Runnable operation) { + GCStatistics before = captureInitialStats(); - return after.time; - } + long startTime = System.nanoTime(); + operation.run(); + long endTime = System.nanoTime(); - /** GC Statistics holder */ - public static class GCStatistics { - public final long collections; - public final long time; - public final MemoryUsage heapUsage; + GCStatistics after = calculateDelta(before); - public GCStatistics(long collections, long time, MemoryUsage heapUsage) { - this.collections = collections; - this.time = time; - this.heapUsage = heapUsage; + return after.time; } - @Override - public String toString() { - return String.format("GC{collections=%d, time=%dms, heap=%s}", collections, time, heapUsage); - } - } - - /** Background thread for creating controlled memory pressure */ - public static class MemoryPressureThread extends Thread { - private final int allocationRateMB; - private final int durationSeconds; - private final AtomicLong allocatedBytes = new AtomicLong(0); - private volatile boolean running = true; - - public MemoryPressureThread(int allocationRateMB, int durationSeconds) { - this.allocationRateMB = allocationRateMB; - this.durationSeconds = durationSeconds; - setDaemon(true); - setName("MemoryPressureThread"); - } + /** GC Statistics holder */ + public static class GCStatistics { + public final long collections; + public final long time; + public final MemoryUsage heapUsage; - @Override - public void run() { - long startTime = System.currentTimeMillis(); - long endTime = startTime + (durationSeconds * 1000L); + public GCStatistics(long collections, long time, MemoryUsage heapUsage) { + this.collections = collections; + this.time = time; + this.heapUsage = heapUsage; + } - int chunkSize = 1024 * 1024; // 1MB chunks - int allocationsPerSecond = allocationRateMB; - long allocationInterval = 1000L / allocationsPerSecond; // milliseconds + @Override + public String toString() { + return String.format("GC{collections=%d, time=%dms, heap=%s}", collections, time, heapUsage); + } + } - List allocations = new ArrayList<>(); + /** Background thread for creating controlled memory pressure */ + public static class MemoryPressureThread extends Thread { + private final int allocationRateMB; + private final int durationSeconds; + private final AtomicLong allocatedBytes = new AtomicLong(0); + private volatile boolean running = true; + + public MemoryPressureThread(int allocationRateMB, int durationSeconds) { + this.allocationRateMB = allocationRateMB; + this.durationSeconds = durationSeconds; + setDaemon(true); + setName("MemoryPressureThread"); + } - while (running && System.currentTimeMillis() < endTime) { - try { - allocations.add(new byte[chunkSize]); - allocatedBytes.addAndGet(chunkSize); + @Override + public void run() { + long startTime = System.currentTimeMillis(); + long endTime = startTime + (durationSeconds * 1000L); + + int chunkSize = 1024 * 1024; // 1MB chunks + int allocationsPerSecond = allocationRateMB; + long allocationInterval = 1000L / allocationsPerSecond; // milliseconds + + List allocations = new ArrayList<>(); + + while (running && System.currentTimeMillis() < endTime) { + try { + allocations.add(new byte[chunkSize]); + allocatedBytes.addAndGet(chunkSize); + + // Control allocation rate + if (allocationInterval > 0) { + Thread.sleep(allocationInterval); + } + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + break; + } + } + + // Clear allocations to trigger GC + allocations.clear(); + allocatedBytes.set(0); + } - // Control allocation rate - if (allocationInterval > 0) { - Thread.sleep(allocationInterval); - } - } catch (InterruptedException e) { - Thread.currentThread().interrupt(); - break; + public void stopPressure() { + running = false; + interrupt(); } - } - // Clear allocations to trigger GC - allocations.clear(); - allocatedBytes.set(0); + public long getAllocatedBytes() { + return allocatedBytes.get(); + } } - public void stopPressure() { - running = false; - interrupt(); - } + /** Wait for GC to occur within timeout */ + public static boolean waitForGC(long timeoutMillis) { + GCStatistics initial = captureInitialStats(); + long startTime = System.currentTimeMillis(); + + while (System.currentTimeMillis() - startTime < timeoutMillis) { + GCStatistics current = calculateDelta(initial); + if (current.collections > 0) { + return true; + } + + try { + Thread.sleep(10); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + break; + } + } - public long getAllocatedBytes() { - return allocatedBytes.get(); - } - } - - /** Wait for GC to occur within timeout */ - public static boolean waitForGC(long timeoutMillis) { - GCStatistics initial = captureInitialStats(); - long startTime = System.currentTimeMillis(); - - while (System.currentTimeMillis() - startTime < timeoutMillis) { - GCStatistics current = calculateDelta(initial); - if (current.collections > 0) { - return true; - } - - try { - Thread.sleep(10); - } catch (InterruptedException e) { - Thread.currentThread().interrupt(); - break; - } + return false; } - - return false; - } } diff --git a/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java b/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java index c6ffa35..e50511d 100644 --- a/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java +++ b/src/test/java/fish/payara/trader/websocket/MarketDataBroadcasterTest.java @@ -18,140 +18,142 @@ @ExtendWith(MockitoExtension.class) class MarketDataBroadcasterTest { - private MarketDataBroadcaster broadcaster; + private MarketDataBroadcaster broadcaster; - @Mock private Session session1; + @Mock + private Session session1; - @Mock private Session session2; + @Mock + private Session session2; - @Mock private Async asyncRemote1; + @Mock + private Async asyncRemote1; - @Mock private Async asyncRemote2; + @Mock + private Async asyncRemote2; - @BeforeEach - void setUp() { - broadcaster = new MarketDataBroadcaster(); - lenient().when(session1.getId()).thenReturn("session-1"); - lenient().when(session2.getId()).thenReturn("session-2"); - lenient().when(session1.getAsyncRemote()).thenReturn(asyncRemote1); - lenient().when(session2.getAsyncRemote()).thenReturn(asyncRemote2); - lenient().when(session1.isOpen()).thenReturn(true); - lenient().when(session2.isOpen()).thenReturn(true); - } + @BeforeEach + void setUp() { + broadcaster = new MarketDataBroadcaster(); + lenient().when(session1.getId()).thenReturn("session-1"); + lenient().when(session2.getId()).thenReturn("session-2"); + lenient().when(session1.getAsyncRemote()).thenReturn(asyncRemote1); + lenient().when(session2.getAsyncRemote()).thenReturn(asyncRemote2); + lenient().when(session1.isOpen()).thenReturn(true); + lenient().when(session2.isOpen()).thenReturn(true); + } - @Test - void testAddSession() { - broadcaster.addSession(session1); + @Test + void testAddSession() { + broadcaster.addSession(session1); - assertThat(broadcaster.getSessionCount()).isEqualTo(1); - } + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } - @Test - void testAddMultipleSessions() { - broadcaster.addSession(session1); - broadcaster.addSession(session2); + @Test + void testAddMultipleSessions() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); - assertThat(broadcaster.getSessionCount()).isEqualTo(2); - } + assertThat(broadcaster.getSessionCount()).isEqualTo(2); + } - @Test - void testRemoveSession() { - broadcaster.addSession(session1); - broadcaster.addSession(session2); + @Test + void testRemoveSession() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); - broadcaster.removeSession(session1); + broadcaster.removeSession(session1); - assertThat(broadcaster.getSessionCount()).isEqualTo(1); - } + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } - @Test - void testBroadcastToAllSessions() { - broadcaster.addSession(session1); - broadcaster.addSession(session2); + @Test + void testBroadcastToAllSessions() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); - String message = "{\"type\":\"trade\",\"price\":100}"; - broadcaster.broadcast(message); + String message = "{\"type\":\"trade\",\"price\":100}"; + broadcaster.broadcast(message); - verify(asyncRemote1).sendText(eq(message)); - verify(asyncRemote2).sendText(eq(message)); - } + verify(asyncRemote1).sendText(eq(message)); + verify(asyncRemote2).sendText(eq(message)); + } - @Test - void testBroadcastRemovesClosedSessions() { - broadcaster.addSession(session1); - broadcaster.addSession(session2); + @Test + void testBroadcastRemovesClosedSessions() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); - when(session1.isOpen()).thenReturn(false); + when(session1.isOpen()).thenReturn(false); - String message = "{\"type\":\"trade\",\"price\":100}"; - broadcaster.broadcast(message); + String message = "{\"type\":\"trade\",\"price\":100}"; + broadcaster.broadcast(message); - verify(asyncRemote1, never()).sendText(any()); - verify(asyncRemote2).sendText(eq(message)); + verify(asyncRemote1, never()).sendText(any()); + verify(asyncRemote2).sendText(eq(message)); - assertThat(broadcaster.getSessionCount()).isEqualTo(1); - } + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } - @Test - void testBroadcastHandlesFailure() { - broadcaster.addSession(session1); - broadcaster.addSession(session2); + @Test + void testBroadcastHandlesFailure() { + broadcaster.addSession(session1); + broadcaster.addSession(session2); - String message = "{\"type\":\"trade\",\"price\":100}"; + String message = "{\"type\":\"trade\",\"price\":100}"; - doThrow(new RuntimeException("Send failed")).when(asyncRemote1).sendText(message); + doThrow(new RuntimeException("Send failed")).when(asyncRemote1).sendText(message); - broadcaster.broadcast(message); + broadcaster.broadcast(message); - verify(asyncRemote2).sendText(eq(message)); - assertThat(broadcaster.getSessionCount()).isEqualTo(1); - } + verify(asyncRemote2).sendText(eq(message)); + assertThat(broadcaster.getSessionCount()).isEqualTo(1); + } - @Test - void testGetSessionCountWhenEmpty() { - assertThat(broadcaster.getSessionCount()).isEqualTo(0); - } + @Test + void testGetSessionCountWhenEmpty() { + assertThat(broadcaster.getSessionCount()).isEqualTo(0); + } - @Test - void testBroadcastWithArtificialLoad() { - broadcaster.addSession(session1); + @Test + void testBroadcastWithArtificialLoad() { + broadcaster.addSession(session1); - String baseMessage = "{\"type\":\"trade\",\"price\":100}"; - broadcaster.broadcastWithArtificialLoad(baseMessage); + String baseMessage = "{\"type\":\"trade\",\"price\":100}"; + broadcaster.broadcastWithArtificialLoad(baseMessage); - ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); - verify(asyncRemote1).sendText(messageCaptor.capture()); + ArgumentCaptor messageCaptor = ArgumentCaptor.forClass(String.class); + verify(asyncRemote1).sendText(messageCaptor.capture()); - String sentMessage = messageCaptor.getValue(); - assertThat(sentMessage).contains(baseMessage); - assertThat(sentMessage).contains("\"wrapped\""); - assertThat(sentMessage).contains("\"padding\""); - assertThat(sentMessage.length()).isGreaterThan(baseMessage.length()); - } + String sentMessage = messageCaptor.getValue(); + assertThat(sentMessage).contains(baseMessage); + assertThat(sentMessage).contains("\"wrapped\""); + assertThat(sentMessage).contains("\"padding\""); + assertThat(sentMessage.length()).isGreaterThan(baseMessage.length()); + } - @Test - void testConcurrentSessionManagement() throws InterruptedException { - int threadCount = 10; - Thread[] threads = new Thread[threadCount]; + @Test + void testConcurrentSessionManagement() throws InterruptedException { + int threadCount = 10; + Thread[] threads = new Thread[threadCount]; - for (int i = 0; i < threadCount; i++) { - final int index = i; - threads[i] = - new Thread( - () -> { + for (int i = 0; i < threadCount; i++) { + final int index = i; + threads[i] = new Thread(() -> { Session mockSession = mock(Session.class); when(mockSession.getId()).thenReturn("session-" + index); when(mockSession.getAsyncRemote()).thenReturn(mock(Async.class)); when(mockSession.isOpen()).thenReturn(true); broadcaster.addSession(mockSession); - }); - threads[i].start(); - } + }); + threads[i].start(); + } - for (Thread thread : threads) { - thread.join(); - } + for (Thread thread : threads) { + thread.join(); + } - assertThat(broadcaster.getSessionCount()).isEqualTo(threadCount); - } + assertThat(broadcaster.getSessionCount()).isEqualTo(threadCount); + } } From 08b1f71d62f4dc42404f9348f365d80ef56a2969 Mon Sep 17 00:00:00 2001 From: Luqman <27694244+pedanticdev@users.noreply.github.com> Date: Thu, 22 Jan 2026 10:52:46 +0000 Subject: [PATCH 11/33] Jfr integration (#18) * stratify jvm flags * clarifying log entries * JFR impl - initial setup * Update readme, amend start-comparison script to accept run mode --------- Co-authored-by: Luqman Saeed --- Dockerfile | 19 +- Dockerfile.scale | 19 +- Dockerfile.scale.standard | 25 +- Dockerfile.standard | 23 +- README.md | 187 ++++++++++- docker-compose-c4.yml | 22 +- docker-compose-g1.yml | 57 +++- .../aeron/MarketDataFragmentHandler.java | 32 +- .../trader/aeron/MarketDataPublisher.java | 248 +++++++++++--- .../payara/trader/jfr/MarketDataEvents.java | 147 ++++++++ .../trader/monitoring/GCPauseMonitor.java | 14 + .../trader/rest/JfrRecordingResource.java | 315 ++++++++++++++++++ .../websocket/MarketDataBroadcaster.java | 37 ++ src/main/webapp/index.html | 134 +++++++- start-comparison.sh | 59 +++- 15 files changed, 1250 insertions(+), 88 deletions(-) create mode 100644 src/main/java/fish/payara/trader/jfr/MarketDataEvents.java create mode 100644 src/main/java/fish/payara/trader/rest/JfrRecordingResource.java diff --git a/Dockerfile b/Dockerfile index 3d9852f..3204646 100644 --- a/Dockerfile +++ b/Dockerfile @@ -33,11 +33,21 @@ ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/pay # Copy WAR file from build stage COPY --from=build /app/target/*.war ROOT.war +# Create recordings directory for JFR output +RUN mkdir -p /opt/payara/recordings && chmod 777 /opt/payara/recordings + EXPOSE 8080 # Default JVM Options for Azul Platform Prime -# Note: These are defaults - can be overridden via docker-compose or docker run -e +# +# NOTE: These JAVA_OPTS are used for single-instance deployments (start.sh script). +# For cluster deployments (start-comparison.sh), these values are overridden by +# docker-compose-{c4,g1}.yml environment variables. See those files for actual +# runtime flags in cluster mode. +# # Azul Platform Prime uses C4 GC by default - no need to specify -XX:+UseZGC +# +# JFR is enabled by default - disable via JFR_ENABLED=false environment variable ENV JAVA_OPTS="-Xms8g \ -Xmx8g \ -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ @@ -46,7 +56,12 @@ ENV JAVA_OPTS="-Xms8g \ -XX:+AlwaysPreTouch \ -XX:+UseTransparentHugePages \ -XX:-UseBiasedLocking \ - -Djava.net.preferIPv4Stack=true" + -XX:+UseStringDeduplication \ + -XX:+OptimizeStringConcat \ + -Djava.net.preferIPv4Stack=true \ + -XX:StartFlightRecording=\${JFR_ENABLED:-name=production,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g} \ + -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 \ + -Xlog:jfr*=info" # Health check HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \ diff --git a/Dockerfile.scale b/Dockerfile.scale index 6eb1664..01b140e 100644 --- a/Dockerfile.scale +++ b/Dockerfile.scale @@ -33,12 +33,22 @@ ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/pay # Copy WAR file from build stage COPY --from=build /app/target/*.war trader-stream-ee.war +# Create recordings directory for JFR output +RUN mkdir -p /opt/payara/recordings && chmod 777 /opt/payara/recordings + EXPOSE 8080 EXPOSE 5701 # Default JVM Options for Azul Platform Prime -# Note: Reduced heap size for multi-instance deployments +# +# NOTE: These JAVA_OPTS are defaults for the cluster image. However, when launched +# via docker-compose-c4.yml, these values are overridden by environment variables +# in that file. See docker-compose-c4.yml for actual runtime flags in cluster mode. +# +# Reduced heap size (4GB vs 8GB) for multi-instance deployments. # Azul Platform Prime uses C4 GC by default - no need to specify -XX:+UseZGC +# +# JFR is enabled by default - disable via JFR_ENABLED=false environment variable ENV JAVA_OPTS="-Xms4g \ -Xmx4g \ -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ @@ -47,7 +57,12 @@ ENV JAVA_OPTS="-Xms4g \ -XX:+AlwaysPreTouch \ -XX:+UseTransparentHugePages \ -XX:-UseBiasedLocking \ - -Djava.net.preferIPv4Stack=true" + -XX:+UseStringDeduplication \ + -XX:+OptimizeStringConcat \ + -Djava.net.preferIPv4Stack=true \ + -XX:StartFlightRecording=\${JFR_ENABLED:-name=c4-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g} \ + -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 \ + -Xlog:jfr*=info" # Health check HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \ diff --git a/Dockerfile.scale.standard b/Dockerfile.scale.standard index 06bd66e..5827bd9 100644 --- a/Dockerfile.scale.standard +++ b/Dockerfile.scale.standard @@ -33,18 +33,39 @@ ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/pay # Copy WAR file from build stage COPY --from=build /app/target/*.war trader-stream-ee.war +# Create recordings directory for JFR output +RUN mkdir -p /opt/payara/recordings && chmod 777 /opt/payara/recordings + EXPOSE 8080 EXPOSE 5701 # Standard JVM Options (G1GC) -# Note: Reduced heap size for multi-instance deployments +# +# NOTE: These JAVA_OPTS are defaults for the cluster image. However, when launched +# via docker-compose-g1.yml, these values are overridden by environment variables +# in that file. See docker-compose-g1.yml for actual runtime flags in cluster mode. +# +# Reduced heap size (4GB vs 8GB) for multi-instance deployments. +# +# JFR is enabled by default - disable via JFR_ENABLED=false environment variable ENV JAVA_OPTS="-Xms4g \ -Xmx4g \ -XX:+UseG1GC \ + -XX:G1HeapRegionSize=16m \ + -XX:MaxGCPauseMillis=10 \ + -XX:InitiatingHeapOccupancyPercent=40 \ + -XX:ParallelGCThreads=12 \ + -XX:ConcGCThreads=4 \ + -XX:-ExplicitGCInvokesConcurrent \ -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ -XX:+AlwaysPreTouch \ -XX:+UseTransparentHugePages \ - -Djava.net.preferIPv4Stack=true" + -XX:+UseStringDeduplication \ + -XX:+OptimizeStringConcat \ + -Djava.net.preferIPv4Stack=true \ + -XX:StartFlightRecording=\${JFR_ENABLED:-name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g} \ + -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 \ + -Xlog:jfr*=info" # Health check HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \ diff --git a/Dockerfile.standard b/Dockerfile.standard index 1e2d9b3..6ba826b 100644 --- a/Dockerfile.standard +++ b/Dockerfile.standard @@ -33,16 +33,37 @@ ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/pay # Copy WAR file from build stage COPY --from=build /app/target/*.war ROOT.war +# Create recordings directory for JFR output +RUN mkdir -p /opt/payara/recordings && chmod 777 /opt/payara/recordings + EXPOSE 8080 # Standard JVM Options (G1GC) +# +# NOTE: These JAVA_OPTS are used for single-instance deployments (start.sh script). +# For cluster deployments (start-comparison.sh), these values are overridden by +# docker-compose-g1.yml environment variables. See that file for actual runtime +# flags in cluster mode. +# +# JFR is enabled by default - disable via JFR_ENABLED=false environment variable ENV JAVA_OPTS="-Xms8g \ -Xmx8g \ -XX:+UseG1GC \ + -XX:G1HeapRegionSize=16m \ + -XX:MaxGCPauseMillis=10 \ + -XX:InitiatingHeapOccupancyPercent=40 \ + -XX:ParallelGCThreads=12 \ + -XX:ConcGCThreads=4 \ + -XX:-ExplicitGCInvokesConcurrent \ -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ -XX:+AlwaysPreTouch \ -XX:+UseTransparentHugePages \ - -Djava.net.preferIPv4Stack=true" + -XX:+UseStringDeduplication \ + -XX:+OptimizeStringConcat \ + -Djava.net.preferIPv4Stack=true \ + -XX:StartFlightRecording=\${JFR_ENABLED:-name=g1-baseline,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g} \ + -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 \ + -Xlog:jfr*=info" # Health check HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \ diff --git a/README.md b/README.md index 0d0b268..277a25c 100644 --- a/README.md +++ b/README.md @@ -211,16 +211,36 @@ Common JVM options: ```dockerfile # Azul Prime (C4) - 8GB single instance example -ENV JAVA_OPTS="-Xms8g -Xmx8g -XX:+AlwaysPreTouch -XX:+UseTransparentHugePages -Djava.net.preferIPv4Stack=true" +ENV JAVA_OPTS="-Xms8g -Xmx8g \ + -XX:+AlwaysPreTouch \ + -XX:+UseTransparentHugePages \ + -XX:-UseBiasedLocking \ + -XX:+UseStringDeduplication \ + -XX:+OptimizeStringConcat \ + -XX:+UseContainerSupport \ + -XX:MaxRAMPercentage=75.0 \ + -Djava.net.preferIPv4Stack=true" # Standard JDK (G1GC) - 4GB cluster example -ENV JAVA_OPTS="-Xms4g -Xmx4g -XX:+UseG1GC -XX:+AlwaysPreTouch -XX:+UseTransparentHugePages -Djava.net.preferIPv4Stack=true" +ENV JAVA_OPTS="-Xms4g -Xmx4g \ + -XX:+UseG1GC \ + -XX:+AlwaysPreTouch \ + -XX:+UseTransparentHugePages \ + -XX:+UseStringDeduplication \ + -XX:+OptimizeStringConcat \ + -XX:+UseContainerSupport \ + -XX:MaxRAMPercentage=75.0 \ + -Djava.net.preferIPv4Stack=true" ``` Infrastructure improvements: - Pre-touch Memory (`-XX:+AlwaysPreTouch`): Pre-allocates heap pages to eliminate runtime allocation overhead - Transparent Huge Pages (`-XX:+UseTransparentHugePages`): Reduces TLB misses for large memory operations +- String Deduplication (`-XX:+UseStringDeduplication`): Automatically deduplicates duplicate strings in the background, reducing heap pressure for JSON-heavy workloads (applied to both C4 and G1GC for fair comparison) +- String Concat Optimization (`-XX:+OptimizeStringConcat`): Optimizes StringBuilder chains used extensively in JSON construction +- Container Memory Awareness (`-XX:+UseContainerSupport` + `-XX:MaxRAMPercentage=75.0`): Enables JVM to respect container memory limits and allocate heap dynamically (75% of container memory) +- Biased Locking Disabled (`-XX:-UseBiasedLocking`): Disabled for C4 (no generational object aging), applied consistently for fair comparison - GC Logging: Detailed event logging with decorators for analysis - Rate-Limited Logging: Prevents log flooding during high-throughput operations @@ -327,6 +347,165 @@ Scenario Details: | FRAGMENTATION | 200 MB/s | 1 GB fragmented | Tests compaction with small objects | | CROSS_GEN_REFS | 150 MB/s | 800 MB old gen | Tests remembered set scanning overhead | +### Java Flight Recorder (JFR) + +TradeStreamEE includes Java Flight Recorder integration for deep performance analysis and production profiling. +JFR provides low-overhead continuous monitoring with the ability to capture detailed event traces for post-mortem analysis. + +#### Custom JFR Events + +The application defines domain-specific JFR events that correlate application behavior with JVM performance: + +| Event Name | Description | Use Case | +|:--------------------------|:-------------------------------------------|:------------------------------------------| +| `trade.published` | Trade execution published to Aeron | Measure publishing throughput and timing | +| `quote.published` | Quote (bid/ask) published | Monitor quote rate per symbol | +| `marketdepth.published` | Level 2 order book depth update | Track L2 data frequency | +| `sbe.encode` | SBE binary encoding operation | Analyze serialization latency | +| `sbe.decode` | SBE binary decoding operation | Measure deserialization overhead | +| `aeron.backpressure` | Aeron publication backpressure detected | Identify flow control issues | +| `burst.mode.activated` | Burst mode triggered (1x/3x/5x multiplier) | Correlate burst patterns with GC behavior | +| `gc.sla.violation` | GC pause exceeded 10ms SLA threshold | Track latency SLA breaches | +| `websocket.broadcast` | Message broadcast to WebSocket clients | Monitor frontend delivery rate | +| `message.batch.processed` | Batch of market messages processed | Observe batch processing timing | + +These events appear in JFR alongside standard JVM events (GC, allocation, CPU), enabling correlation between domain metrics (message rates, encoding latency) and runtime behavior (GC pauses, heap usage). + +#### JFR Configuration + +JFR is enabled by default in all Docker images with two recording modes: + +**Default Recording (Continuous)** +- Runs from JVM startup +- Circular buffer: 1 hour max age, 1GB max size +- Dumps to disk on JVM exit (`dumponexit=true`) +- Location: `/opt/payara/recordings/recording.jfr` +- Purpose: Post-mortem analysis if JVM crashes or exits + +**Ad-hoc Snapshots (On-Demand)** +- Started via web UI or REST API +- Time-bounded captures (default: 60 seconds) +- Dump immediately after capture window +- Purpose: Capture specific test scenarios (stress tests, benchmark runs) + +#### JFR Web UI + +The web dashboard includes a JFR management interface accessible via the **JFR** button in the header: + +1. **List Recordings**: View all available `.jfr` files with size and timestamp +2. **Download**: Click to download recordings for local analysis in JDK Mission Control +3. **Capture Snapshot**: Start a new 60-second recording capture + +Example workflow: + +```bash +# 1. Navigate to http://localhost:8080/trader-stream-ee/ +# 2. Click "JFR" button in header +# 3. Click "Capture 60s Snapshot" +# 4. Wait 60 seconds (or run a stress test scenario) +# 5. Click "Download" on the new recording +# 6. Open in JDK Mission Control for analysis +``` + +#### JFR REST API + +Programmatic control via REST endpoints: + +```bash +# Check JFR availability and status +curl http://localhost:8080/api/jfr/status + +# List all recordings (active and stopped) +curl http://localhost:8080/api/jfr/recordings + +# List available .jfr files for download +curl http://localhost:8080/api/jfr/files + +# Start a time-bounded recording +curl -X POST "http://localhost:8080/api/jfr/recording/start?name=gc-stress&durationSeconds=120" + +# Stop a recording early +curl -X POST "http://localhost:8080/api/jfr/recording/stop?id={recordingId}" + +# Download a specific recording +curl -O http://localhost:8080/api/jfr/download/{filename}.jfr +``` + +#### Analyzing Recordings + +**Using JDK Mission Control (JMC)** + +```bash +# Download from container +docker cp trader-stream-c4-1:/opt/payara/recordings/{filename}.jfr ./analysis.jfr + +# Open in JMC +jmc analysis.jfr +``` + +Key JMC views for HFT analysis: +- **Automatic Analysis** (⚡): Flags GC pauses, allocation hotspots, thread contention +- **Timeline**: Visualize event occurrence over time (zoom into GC pauses) +- **Memory → GC Graph**: Correlate heap usage with pause times +- **Event Browser**: Filter custom events (`trade.published`, `aeron.backpressure`) +- **Code → Hot Methods**: Identify CPU bottlenecks in ingestion path + +**Using CLI (jfr command)** + +```bash +# Summary statistics +docker exec trader-stream-c4-1 jfr summary /opt/payara/recordings/{filename}.jfr + +# Print specific events +docker exec trader-stream-c4-1 jfr print --events trade.published /opt/payara/recordings/{filename}.jfr + +# View metadata (event types) +docker exec trader-stream-c4-1 jfr metadata /opt/payara/recordings/{filename}.jfr +``` + +#### Analysis Use Cases + +**GC Latency Investigation** +1. Capture snapshot during stress test scenario +2. Open in JMC → Timeline view +3. Zoom into GC pause lanes +4. Check if `trade.published` events continue during pauses (C4) or stop (G1GC) + +**Backpressure Analysis** +1. Filter Event Browser for `aeron.backpressure` +2. Examine stack traces to identify source +3. Correlate with GC pause timing +4. Check if burst mode activation precedes backpressure + +**Encoding Performance** +1. View `sbe.encode` events +2. Analyze `encodeTimeNanos` distribution +3. Identify symbols with largest payloads +4. Correlate with allocation rate (`jdk.ObjectAllocationInNewTLAB`) + +#### JVM Options + +JFR flags configured in Dockerfiles: + +```dockerfile +# Default recording (continuous, dumps on exit) +-XX:StartFlightRecording=name=production,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g + +# Flight recorder options +-XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 + +# JFR logging +-Xlog:jfr*=info +``` + +**Disable JFR** (if needed): + +```bash +export JFR_ENABLED=false # Disables default recording via StartFlightRecording +``` + +Note: Ad-hoc snapshots still work even when default recording is disabled. + ## Project Structure ```text @@ -335,14 +514,14 @@ src/main/ │ ├── aeron/ # Aeron Publisher, Subscriber, FragmentHandler │ ├── sbe/ # Generated SBE Codecs (Flyweights) │ ├── websocket/ # Jakarta WebSocket Endpoint -│ ├── rest/ # Status, GC Stats, and Memory Pressure Resources +│ ├── rest/ # Status, GC Stats, Memory Pressure, and JFR Resources │ ├── gc/ # GC statistics collection and monitoring │ ├── pressure/ # Memory pressure testing services │ └── monitoring/ # GC monitoring services (GCPauseMonitor, MemoryPressure) ├── resources/sbe/ │ └── market-data.xml # SBE Schema Definition └── webapp/ - └── index.html # Dashboard UI (Chart.js + WebSocket) + └── index.html # Dashboard UI (Chart.js + WebSocket) with JFR controls monitoring/ ├── grafana/ diff --git a/docker-compose-c4.yml b/docker-compose-c4.yml index 989d64e..0d269fb 100644 --- a/docker-compose-c4.yml +++ b/docker-compose-c4.yml @@ -1,3 +1,9 @@ +# JVM Configuration Notes: +# ========================== +# The JAVA_OPTS environment variables below OVERRIDE the ENV JAVA_OPTS defined in +# Dockerfile.scale. These are the authoritative flags used for cluster deployments. +# If you update flags here, ensure consistency across all instances (c4-1, c4-2, c4-3). + services: traefik-c4: image: traefik:v3.6.5 @@ -37,7 +43,7 @@ services: - "5701" shm_size: 512m environment: - - TRADER_INGESTION_MODE=AERON + - TRADER_INGESTION_MODE=${TRADER_INGESTION_MODE:-AERON} - PAYARA_INSTANCE_NAME=c4-instance-1 - HAZELCAST_MEMBER_NAME=trader-stream-c4-1 - ENABLE_PUBLISHER=true @@ -46,6 +52,8 @@ services: -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M -XX:+AlwaysPreTouch -XX:+UseTransparentHugePages + -XX:+UseContainerSupport + -XX:MaxRAMPercentage=75.0 -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml -Djava.net.preferIPv4Stack=true volumes: @@ -75,13 +83,17 @@ services: - "5701" shm_size: 512m environment: - - TRADER_INGESTION_MODE=AERON + - TRADER_INGESTION_MODE=${TRADER_INGESTION_MODE:-AERON} - PAYARA_INSTANCE_NAME=c4-instance-2 - HAZELCAST_MEMBER_NAME=trader-stream-c4-2 - ENABLE_PUBLISHER=true - JVM_TYPE=azul-c4 - JAVA_OPTS=-Xms4g -Xmx4g -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -XX:+AlwaysPreTouch + -XX:+UseTransparentHugePages + -XX:+UseContainerSupport + -XX:MaxRAMPercentage=75.0 -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml volumes: - ./monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar:/opt/payara/jmx_prometheus_javaagent.jar:ro @@ -110,13 +122,17 @@ services: - "5701" shm_size: 512m environment: - - TRADER_INGESTION_MODE=AERON + - TRADER_INGESTION_MODE=${TRADER_INGESTION_MODE:-AERON} - PAYARA_INSTANCE_NAME=c4-instance-3 - HAZELCAST_MEMBER_NAME=trader-stream-c4-3 - ENABLE_PUBLISHER=true - JVM_TYPE=azul-c4 - JAVA_OPTS=-Xms4g -Xmx4g -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -XX:+AlwaysPreTouch + -XX:+UseTransparentHugePages + -XX:+UseContainerSupport + -XX:MaxRAMPercentage=75.0 -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml volumes: - ./monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar:/opt/payara/jmx_prometheus_javaagent.jar:ro diff --git a/docker-compose-g1.yml b/docker-compose-g1.yml index c7cecf6..244f43d 100644 --- a/docker-compose-g1.yml +++ b/docker-compose-g1.yml @@ -1,3 +1,9 @@ +# JVM Configuration Notes: +# ========================== +# The JAVA_OPTS environment variables below OVERRIDE the ENV JAVA_OPTS defined in +# Dockerfile.scale.standard. These are the authoritative flags used for cluster deployments. +# If you update flags here, ensure consistency across all instances (g1-1, g1-2, g1-3). + services: traefik-g1: image: traefik:v3.6.5 @@ -37,16 +43,29 @@ services: - "5701" shm_size: 512m environment: - - TRADER_INGESTION_MODE=AERON + - TRADER_INGESTION_MODE=${TRADER_INGESTION_MODE:-AERON} - PAYARA_INSTANCE_NAME=g1-instance-1 - HAZELCAST_MEMBER_NAME=trader-stream-g1-1 - ENABLE_PUBLISHER=true - JVM_TYPE=eclipse-temurin-g1 - JAVA_OPTS=-Xms4g -Xmx4g -XX:+UseG1GC + -XX:G1HeapRegionSize=16m + -XX:MaxGCPauseMillis=10 + -XX:InitiatingHeapOccupancyPercent=40 + -XX:ParallelGCThreads=12 + -XX:ConcGCThreads=4 + -XX:-ExplicitGCInvokesConcurrent -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M -XX:+AlwaysPreTouch -XX:+UseTransparentHugePages + -XX:+UseStringDeduplication + -XX:+OptimizeStringConcat + -XX:+UseContainerSupport + -XX:MaxRAMPercentage=75.0 + -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g + -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 + -Xlog:jfr*=info -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml -Djava.net.preferIPv4Stack=true volumes: @@ -76,15 +95,31 @@ services: - "5701" shm_size: 512m environment: - - TRADER_INGESTION_MODE=AERON + - TRADER_INGESTION_MODE=${TRADER_INGESTION_MODE:-AERON} - PAYARA_INSTANCE_NAME=g1-instance-2 - HAZELCAST_MEMBER_NAME=trader-stream-g1-2 - ENABLE_PUBLISHER=true - JVM_TYPE=eclipse-temurin-g1 - JAVA_OPTS=-Xms4g -Xmx4g -XX:+UseG1GC + -XX:G1HeapRegionSize=16m + -XX:MaxGCPauseMillis=10 + -XX:InitiatingHeapOccupancyPercent=40 + -XX:ParallelGCThreads=12 + -XX:ConcGCThreads=4 + -XX:-ExplicitGCInvokesConcurrent -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -XX:+AlwaysPreTouch + -XX:+UseTransparentHugePages + -XX:+UseStringDeduplication + -XX:+OptimizeStringConcat + -XX:+UseContainerSupport + -XX:MaxRAMPercentage=75.0 + -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g + -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 + -Xlog:jfr*=info -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml + -Djava.net.preferIPv4Stack=true volumes: - ./monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar:/opt/payara/jmx_prometheus_javaagent.jar:ro - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro @@ -112,15 +147,31 @@ services: - "5701" shm_size: 512m environment: - - TRADER_INGESTION_MODE=AERON + - TRADER_INGESTION_MODE=${TRADER_INGESTION_MODE:-AERON} - PAYARA_INSTANCE_NAME=g1-instance-3 - HAZELCAST_MEMBER_NAME=trader-stream-g1-3 - ENABLE_PUBLISHER=true - JVM_TYPE=eclipse-temurin-g1 - JAVA_OPTS=-Xms4g -Xmx4g -XX:+UseG1GC + -XX:G1HeapRegionSize=16m + -XX:MaxGCPauseMillis=10 + -XX:InitiatingHeapOccupancyPercent=40 + -XX:ParallelGCThreads=12 + -XX:ConcGCThreads=4 + -XX:-ExplicitGCInvokesConcurrent -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -XX:+AlwaysPreTouch + -XX:+UseTransparentHugePages + -XX:+UseStringDeduplication + -XX:+OptimizeStringConcat + -XX:+UseContainerSupport + -XX:MaxRAMPercentage=75.0 + -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g + -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 + -Xlog:jfr*=info -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml + -Djava.net.preferIPv4Stack=true volumes: - ./monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar:/opt/payara/jmx_prometheus_javaagent.jar:ro - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java b/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java index 8ec3125..577670b 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataFragmentHandler.java @@ -1,5 +1,6 @@ package fish.payara.trader.aeron; +import fish.payara.trader.jfr.MarketDataEvents; import fish.payara.trader.sbe.*; import fish.payara.trader.websocket.MarketDataBroadcaster; import io.aeron.logbuffer.FragmentHandler; @@ -43,6 +44,8 @@ public class MarketDataFragmentHandler implements FragmentHandler { @Override public void onFragment(DirectBuffer buffer, int offset, int length, Header header) { + long startTime = System.nanoTime(); + try { headerDecoder.wrap(buffer, offset); @@ -81,6 +84,17 @@ public void onFragment(DirectBuffer buffer, int offset, int length, Header heade } messagesProcessed++; + + // JFR event for batch processing + long processingTime = System.nanoTime() - startTime; + MarketDataEvents.BatchProcessed batchEvent = new MarketDataEvents.BatchProcessed(); + if (batchEvent.isEnabled()) { + batchEvent.messageCount = 1; + batchEvent.processingTimeNanos = processingTime; + batchEvent.source = "AERON"; + batchEvent.commit(); + } + if (shouldBroadcast) { messagesBroadcast++; } @@ -93,9 +107,7 @@ public void onFragment(DirectBuffer buffer, int offset, int length, Header heade /** Process Trade message using SBE decoder (zero-copy) */ private void processTrade(DirectBuffer buffer, int offset, int blockLength, int version, boolean shouldBroadcast) { - if (!shouldBroadcast) { - return; - } + long decodeStart = System.nanoTime(); tradeDecoder.wrap(buffer, offset, blockLength, version); @@ -109,6 +121,20 @@ private void processTrade(DirectBuffer buffer, int offset, int blockLength, int tradeDecoder.getSymbol(symbolBuffer, 0, symbolLength); final String symbol = new String(symbolBuffer, 0, symbolLength); + // JFR event for SBE decoding performance + long decodeTime = System.nanoTime() - decodeStart; + MarketDataEvents.SbeDecode decodeEvent = new MarketDataEvents.SbeDecode(); + if (decodeEvent.isEnabled()) { + decodeEvent.messageType = "Trade"; + decodeEvent.decodedBytes = blockLength; + decodeEvent.decodeTimeNanos = decodeTime; + decodeEvent.commit(); + } + + if (!shouldBroadcast) { + return; + } + sb.setLength(0); sb.append("{\"type\":\"trade\",\"timestamp\":") .append(timestamp) diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java index dd3dfd6..3b2d64b 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java @@ -1,8 +1,10 @@ package fish.payara.trader.aeron; import com.hazelcast.core.HazelcastInstance; +import com.hazelcast.core.HazelcastInstanceNotActiveException; import com.hazelcast.cp.IAtomicLong; import fish.payara.trader.concurrency.VirtualThreadExecutor; +import fish.payara.trader.jfr.MarketDataEvents; import fish.payara.trader.sbe.*; import fish.payara.trader.websocket.MarketDataBroadcaster; import io.aeron.Aeron; @@ -37,14 +39,13 @@ public class MarketDataPublisher { private static final String CHANNEL = "aeron:ipc"; private static final int STREAM_ID = 1001; private static final int BUFFER_SIZE = 4096; - private static final int SAMPLE_RATE = 50; // Broadcast 1 in 50 messages to prevent flooding + private static final int SAMPLE_RATE = 50; private static final String[] SYMBOLS = {"AAPL", "GOOGL", "MSFT", "AMZN", "TSLA", "NVDA", "META", "NFLX"}; private Aeron aeron; private Publication publication; - // SBE encoders (reusable flyweights) private final MessageHeaderEncoder headerEncoder = new MessageHeaderEncoder(); private final TradeEncoder tradeEncoder = new TradeEncoder(); private final QuoteEncoder quoteEncoder = new QuoteEncoder(); @@ -60,11 +61,10 @@ public class MarketDataPublisher { private final AtomicInteger consecutiveFailures = new AtomicInteger(0); private static final int MAX_CONSECUTIVE_FAILURES = 50; private long sampleCounter = 0; - private volatile boolean initialized = false; private volatile boolean running = false; private boolean isDirectMode; private long lastWarningLogTime = 0; - private static final long WARNING_LOG_INTERVAL_MS = 5000; // Log warnings at most once per 5 seconds + private static final long WARNING_LOG_INTERVAL_MS = 5000; private Future publisherFuture; private Future statsFuture; @@ -90,17 +90,13 @@ public class MarketDataPublisher { @VirtualThreadExecutor private ManagedExecutorService managedExecutorService; - // Cluster-wide message counter (shared across all instances) private IAtomicLong clusterMessageCounter; void contextInitialized(@Observes @Initialized(ApplicationScoped.class) Object event) { - // managedExecutorService.submit(this::init); init(); } public void init() { - // Initialize cluster-wide message counter on ALL instances (even non-publishers) - // This allows all instances to read the shared counter value via Hazelcast CP Subsystem if (hazelcastInstance != null) { try { clusterMessageCounter = hazelcastInstance.getCPSubsystem().getAtomicLong("cluster-message-count"); @@ -110,7 +106,6 @@ public void init() { } } - // Check if publisher should be enabled on this instance if (enablePublisherEnv != null && !"true".equalsIgnoreCase(enablePublisherEnv)) { LOGGER.info("Market Data Publisher DISABLED on this instance (ENABLE_PUBLISHER=" + enablePublisherEnv + ")"); LOGGER.info("This instance will only consume messages from the cluster topic via Hazelcast"); @@ -121,27 +116,25 @@ public void init() { if ("DIRECT".equalsIgnoreCase(ingestionMode)) { LOGGER.info("Running in DIRECT mode - Bypassing Aeron/SBE setup."); - initialized = true; isDirectMode = true; startPublishing(); return; } - // Initialize buffer only if in AERON mode this.buffer = new UnsafeBuffer(ByteBuffer.allocateDirect(BUFFER_SIZE)); try { - // Wait for AeronSubscriberBean to be ready (both observers fire at roughly same time) LOGGER.info("Waiting for AeronSubscriberBean to be ready..."); int waitAttempts = 0; while (!subscriberBean.isReady() && waitAttempts < 60) { Thread.sleep(500); waitAttempts++; + LOGGER.info("Waiting for AeronSubscriberBean to be ready... " + waitAttempts + " wait count"); } if (!subscriberBean.isReady()) { - LOGGER.severe("AeronSubscriberBean did not become ready in time"); + LOGGER.severe("AeronSubscriberBean did not become ready in time after " + waitAttempts + " wait count"); return; } @@ -164,7 +157,6 @@ public void init() { if (publication.isConnected()) { LOGGER.info("Market Data Publisher initialized successfully"); - initialized = true; startPublishing(); } else { @@ -176,22 +168,34 @@ public void init() { } } - /** Start background thread to continuously publish market data at high throughput */ + /** + * Start background thread to continuously publish market data at high throughput. + * + *

    + * Burst Pattern: Each burst publishes 1,500 messages (500 iterations of Trade + Quote + MarketDepth), followed by a 5μs park. This yields a + * theoretical upper limit of ~300M messages/sec, but actual throughput is limited by Aeron backpressure and SBE encoding overhead. + * + *

    + * Message Counting: In AERON mode, messages are counted AFTER successful publication via {@code offer()} (i.e., "delivered" count). In DIRECT mode, + * messages are counted immediately upon generation (i.e., "attempted" count). + * + *

    + * Burst Multiplier: Time-based multiplier simulates market events: 1x normal, 5x during news events (seconds 20-25 of each minute), 3x during market + * close (seconds 45-50). + */ private void startPublishing() { running = true; publisherFuture = managedExecutorService.submit(() -> { - LOGGER.info("Market data publisher task started - targeting 50k-100k messages/sec with burst patterns"); + LOGGER.info("Market data publisher task started - burst pattern: 1,500 messages per 5μs (rate limited by Aeron backpressure)"); final int BASE_BURST_SIZE = 500; - final long PARK_NANOS = 5_000; // 5 microseconds base rate + final long PARK_NANOS = 5_000; while (running && !Thread.currentThread().isInterrupted()) { try { - // Apply burst multiplier for realistic market spikes int burstMultiplier = getBurstMultiplier(); int adjustedBurstSize = BASE_BURST_SIZE * burstMultiplier; - // Log burst transitions if (burstMultiplier > 1) { long secondOfMinute = (System.currentTimeMillis() / 1000) % 60; if (secondOfMinute == 20 || secondOfMinute == 45) { @@ -213,7 +217,6 @@ private void startPublishing() { } catch (Throwable e) { LOGGER.log(Level.SEVERE, "Critical error in publisher loop", e); - // Brief pause on error, then continue LockSupport.parkNanos(TimeUnit.MILLISECONDS.toNanos(100)); } } @@ -266,18 +269,32 @@ private int getBurstMultiplier() { long secondOfMinute = (System.currentTimeMillis() / 1000) % 60; if (secondOfMinute >= 20 && secondOfMinute < 25) { - return 5; // News event - 5x burst + MarketDataEvents.BurstModeActivated event = new MarketDataEvents.BurstModeActivated(); + if (event.isEnabled()) { + event.multiplier = 5; + event.reason = "News Event"; + event.secondOfMinute = secondOfMinute; + event.commit(); + } + return 5; } else if (secondOfMinute >= 45 && secondOfMinute < 50) { - return 3; // Market close - 3x spike + MarketDataEvents.BurstModeActivated event = new MarketDataEvents.BurstModeActivated(); + if (event.isEnabled()) { + event.multiplier = 3; + event.reason = "Market Close"; + event.secondOfMinute = secondOfMinute; + event.commit(); + } + return 3; } - return 1; // Normal + return 1; } /** Publish a Trade message */ private void publishTrade() { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); if (isDirectMode) { - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); // Use ThreadLocalRandom final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; final double price = 100.0 + currentRandom.nextDouble() * 400.0; final int quantity = currentRandom.nextInt(1000) + 100; @@ -285,23 +302,31 @@ private void publishTrade() { String json = String.format("{\"type\":\"trade\",\"timestamp\":%d,\"tradeId\":%d,\"symbol\":\"%s\",\"price\":%.4f,\"quantity\":%d,\"side\":\"%s\"}", System.currentTimeMillis(), tradeIdGenerator.incrementAndGet(), symbol, price, quantity, side); + + MarketDataEvents.TradePublished tradeEvent = new MarketDataEvents.TradePublished(); + if (tradeEvent.isEnabled()) { + tradeEvent.symbol = symbol; + tradeEvent.price = (long) (price * 10000); + tradeEvent.quantity = quantity; + tradeEvent.side = side; + tradeEvent.commit(); + } + if (++sampleCounter % SAMPLE_RATE == 0) { broadcaster.broadcastWithArtificialLoad(json); } messagesPublished.incrementAndGet(); - // Increment cluster-wide counter if (clusterMessageCounter != null) { try { clusterMessageCounter.incrementAndGet(); } catch (Exception e) { - // Ignore cluster counter errors, not critical } } return; } + long encodeStart = System.nanoTime(); int bufferOffset = 0; - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; headerEncoder.wrap(buffer, bufferOffset) @@ -312,22 +337,35 @@ private void publishTrade() { bufferOffset += headerEncoder.encodedLength(); + final long encodedPrice = (long) ((100.0 + currentRandom.nextDouble() * 400.0) * 10000); + final int encodedQuantity = currentRandom.nextInt(1000) + 100; + final Side encodedSide = currentRandom.nextBoolean() ? Side.BUY : Side.SELL; + tradeEncoder.wrap(buffer, bufferOffset) .timestamp(System.currentTimeMillis()) .tradeId(tradeIdGenerator.incrementAndGet()) - .price((long) ((100.0 + currentRandom.nextDouble() * 400.0) * 10000)) // $100-$500 - .quantity(currentRandom.nextInt(1000) + 100) - .side(currentRandom.nextBoolean() ? Side.BUY : Side.SELL) + .price(encodedPrice) + .quantity(encodedQuantity) + .side(encodedSide) .symbol(symbol); final int length = headerEncoder.encodedLength() + tradeEncoder.encodedLength(); - offer(buffer, 0, length, "Trade"); + + MarketDataEvents.SbeEncode encodeEvent = new MarketDataEvents.SbeEncode(); + if (encodeEvent.isEnabled()) { + encodeEvent.messageType = "Trade"; + encodeEvent.encodedBytes = length; + encodeEvent.encodeTimeNanos = System.nanoTime() - encodeStart; + encodeEvent.commit(); + } + + offer(buffer, 0, length, "Trade", symbol, encodedPrice, encodedQuantity, encodedSide.name()); } /** Publish a Quote message */ private void publishQuote() { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); if (isDirectMode) { - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; final double bidPrice = basePrice - 0.01; @@ -335,6 +373,16 @@ private void publishQuote() { final int bidSize = currentRandom.nextInt(10000) + 100; final int askSize = currentRandom.nextInt(10000) + 100; + MarketDataEvents.QuotePublished quoteEvent = new MarketDataEvents.QuotePublished(); + if (quoteEvent.isEnabled()) { + quoteEvent.symbol = symbol; + quoteEvent.bidPrice = (long) (bidPrice * 10000); + quoteEvent.askPrice = (long) (askPrice * 10000); + quoteEvent.bidSize = bidSize; + quoteEvent.askSize = askSize; + quoteEvent.commit(); + } + String json = String.format( "{\"type\":\"quote\",\"timestamp\":%d,\"symbol\":\"%s\",\"bid\":{\"price\":%.4f,\"size\":%d},\"ask\":{\"price\":%.4f,\"size\":%d}}", System.currentTimeMillis(), symbol, bidPrice, bidSize, askPrice, askSize); @@ -342,19 +390,17 @@ private void publishQuote() { broadcaster.broadcastWithArtificialLoad(json); } messagesPublished.incrementAndGet(); - // Increment cluster-wide counter if (clusterMessageCounter != null) { try { clusterMessageCounter.incrementAndGet(); } catch (Exception e) { - // Ignore cluster counter errors, not critical } } return; } + long encodeStart = System.nanoTime(); int bufferOffset = 0; - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; @@ -366,27 +412,59 @@ private void publishQuote() { bufferOffset += headerEncoder.encodedLength(); + final long bidPrice = (long) ((basePrice - 0.01) * 10000); + final long askPrice = (long) ((basePrice + 0.01) * 10000); + final int bidSize = currentRandom.nextInt(10000) + 100; + final int askSize = currentRandom.nextInt(10000) + 100; + quoteEncoder.wrap(buffer, bufferOffset) .timestamp(System.currentTimeMillis()) - .bidPrice((long) ((basePrice - 0.01) * 10000)) - .bidSize(currentRandom.nextInt(10000) + 100) - .askPrice((long) ((basePrice + 0.01) * 10000)) - .askSize(currentRandom.nextInt(10000) + 100) + .bidPrice(bidPrice) + .bidSize(bidSize) + .askPrice(askPrice) + .askSize(askSize) .symbol(symbol); final int length = headerEncoder.encodedLength() + quoteEncoder.encodedLength(); + + MarketDataEvents.SbeEncode encodeEvent = new MarketDataEvents.SbeEncode(); + if (encodeEvent.isEnabled()) { + encodeEvent.messageType = "Quote"; + encodeEvent.encodedBytes = length; + encodeEvent.encodeTimeNanos = System.nanoTime() - encodeStart; + encodeEvent.commit(); + } + offer(buffer, 0, length, "Quote"); + + MarketDataEvents.QuotePublished quoteEvent = new MarketDataEvents.QuotePublished(); + if (quoteEvent.isEnabled()) { + quoteEvent.symbol = symbol; + quoteEvent.bidPrice = bidPrice; + quoteEvent.askPrice = askPrice; + quoteEvent.bidSize = bidSize; + quoteEvent.askSize = askSize; + quoteEvent.commit(); + } } /** Publish a MarketDepth message */ private void publishMarketDepth() { + final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); if (isDirectMode) { - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; final long timestamp = System.currentTimeMillis(); final long seq = sequenceNumber.incrementAndGet(); + MarketDataEvents.MarketDepthPublished depthEvent = new MarketDataEvents.MarketDepthPublished(); + if (depthEvent.isEnabled()) { + depthEvent.symbol = symbol; + depthEvent.depthLevels = 5; + depthEvent.sequenceNumber = seq; + depthEvent.commit(); + } + StringBuilder bidsJson = new StringBuilder("["); for (int i = 0; i < 5; i++) { if (i > 0) @@ -409,19 +487,16 @@ private void publishMarketDepth() { broadcaster.broadcastWithArtificialLoad(json); } messagesPublished.incrementAndGet(); - // Increment cluster-wide counter if (clusterMessageCounter != null) { try { clusterMessageCounter.incrementAndGet(); } catch (Exception e) { - // Ignore cluster counter errors, not critical } } return; } int bufferOffset = 0; - final ThreadLocalRandom currentRandom = ThreadLocalRandom.current(); final String symbol = SYMBOLS[currentRandom.nextInt(SYMBOLS.length)]; final double basePrice = 100.0 + currentRandom.nextDouble() * 400.0; @@ -454,8 +529,6 @@ private void publishMarketDepth() { /** Publish a Heartbeat message */ private void publishHeartbeat() { if (isDirectMode) { - // In DIRECT mode, we just increment counter but don't broadcast heartbeats to UI - // as they are mainly for system health checks in the Aeron log messagesPublished.incrementAndGet(); return; } @@ -479,31 +552,39 @@ private void publishHeartbeat() { /** Offer buffer to Aeron publication with retry logic */ private void offer(UnsafeBuffer buffer, int offset, int length, String messageType) { long result; - int retries = 3; - while (retries > 0) { + for (int retries = 3; retries > 0; retries--) { result = publication.offer(buffer, offset, length); if (result > 0) { messagesPublished.incrementAndGet(); - // Increment cluster-wide counter if (clusterMessageCounter != null) { try { clusterMessageCounter.incrementAndGet(); } catch (Exception e) { - // Ignore cluster counter errors, not critical } } consecutiveFailures.set(0); return; } else if (result == Publication.BACK_PRESSURED) { - continue; + MarketDataEvents.BackpressureEvent bpEvent = new MarketDataEvents.BackpressureEvent(); + if (bpEvent.isEnabled()) { + bpEvent.messageType = messageType; + bpEvent.consecutiveFailures = consecutiveFailures.get() + 1; + bpEvent.result = "BACK_PRESSURED"; + bpEvent.commit(); + } + if (retries > 1) { + continue; + } } else if (result == Publication.NOT_CONNECTED) { logWarningRateLimited("Publication not connected"); + emitBackpressureEvent(messageType, result); handlePublishFailure(messageType); return; } else { logWarningRateLimited("Offer failed for " + messageType + ": " + result); + emitBackpressureEvent(messageType, result); handlePublishFailure(messageType); return; } @@ -513,6 +594,65 @@ private void offer(UnsafeBuffer buffer, int offset, int length, String messageTy handlePublishFailure(messageType); } + /** Offer Trade message with JFR event emission */ + private void offer(UnsafeBuffer buffer, int offset, int length, String messageType, String symbol, long price, int quantity, String side) { + long result; + + for (int retries = 3; retries > 0; retries--) { + result = publication.offer(buffer, offset, length); + + if (result > 0) { + messagesPublished.incrementAndGet(); + if (clusterMessageCounter != null) { + try { + clusterMessageCounter.incrementAndGet(); + } catch (Exception e) { + } + } + consecutiveFailures.set(0); + + MarketDataEvents.TradePublished event = new MarketDataEvents.TradePublished(); + if (event.isEnabled()) { + event.symbol = symbol; + event.price = price; + event.quantity = quantity; + event.side = side; + event.commit(); + } + return; + } else if (result == Publication.BACK_PRESSURED) { + emitBackpressureEvent("Trade", result); + if (retries > 1) { + continue; + } + } else if (result == Publication.NOT_CONNECTED) { + logWarningRateLimited("Publication not connected"); + emitBackpressureEvent("Trade", result); + handlePublishFailure("Trade"); + return; + } else { + logWarningRateLimited("Offer failed for Trade: " + result); + emitBackpressureEvent("Trade", result); + handlePublishFailure("Trade"); + return; + } + } + + logWarningRateLimited("Failed to publish Trade after retries"); + handlePublishFailure("Trade"); + } + + private void emitBackpressureEvent(String messageType, long resultCode) { + MarketDataEvents.BackpressureEvent event = new MarketDataEvents.BackpressureEvent(); + if (event.isEnabled()) { + event.messageType = messageType; + event.consecutiveFailures = consecutiveFailures.get() + 1; + event.result = resultCode == Publication.BACK_PRESSURED ? "BACK_PRESSURED" + : resultCode == Publication.NOT_CONNECTED ? "NOT_CONNECTED" : String.valueOf(resultCode); + event.commit(); + } + } + private void logWarningRateLimited(String message) { long now = System.currentTimeMillis(); if (now - lastWarningLogTime >= WARNING_LOG_INTERVAL_MS) { @@ -544,6 +684,12 @@ public void shutdown() { statsFuture.cancel(true); } + try { + Thread.sleep(100); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + } + if (publication != null) { publication.close(); } @@ -562,6 +708,8 @@ public long getClusterMessagesPublished() { if (clusterMessageCounter != null) { try { return clusterMessageCounter.get(); + } catch (HazelcastInstanceNotActiveException e) { + LOGGER.log(Level.FINE, "Cluster message counter unavailable (Hazelcast shutting down)"); } catch (Exception e) { LOGGER.log(Level.WARNING, "Failed to read cluster message counter", e); } diff --git a/src/main/java/fish/payara/trader/jfr/MarketDataEvents.java b/src/main/java/fish/payara/trader/jfr/MarketDataEvents.java new file mode 100644 index 0000000..204932f --- /dev/null +++ b/src/main/java/fish/payara/trader/jfr/MarketDataEvents.java @@ -0,0 +1,147 @@ +package fish.payara.trader.jfr; + +import jdk.jfr.Event; +import jdk.jfr.Label; +import jdk.jfr.Name; +import jdk.jfr.Category; +import jdk.jfr.StackTrace; + +/** + * Custom JFR events for Market Data Pipeline monitoring. + * + *

    + * These events provide domain-specific insights into the HFT trading simulation: + *

      + *
    • Message publishing rates and timing
      • + *
    • SBE encoding/decoding performance
      • + *
    • WebSocket broadcast latency
      • + *
    • GC SLA violations
      • + *
    • Aeron backpressure events
      • + *
    + * + *

    + * Usage: Events are emitted only when enabled. Check {@link Event#isEnabled()} before committing to avoid unnecessary overhead. + */ +@Category("Market Data") +@Label("Market Data Processing") +public class MarketDataEvents { + + /** + * Emitted when a trade message is published to Aeron or WebSocket. Stack trace disabled for minimal overhead on hot path. + */ + @Name("trade.published") + @Label("Trade Published") + @StackTrace(false) + public static class TradePublished extends Event { + public String symbol; + public long price; + public int quantity; + public String side; + } + + /** + * Emitted when a quote message is published. + */ + @Name("quote.published") + @Label("Quote Published") + @StackTrace(false) + public static class QuotePublished extends Event { + public String symbol; + public long bidPrice; + public long askPrice; + public int bidSize; + public int askSize; + } + + /** + * Emitted when a market depth message is published. + */ + @Name("marketdepth.published") + @Label("Market Depth Published") + @StackTrace(false) + public static class MarketDepthPublished extends Event { + public String symbol; + public int depthLevels; + public long sequenceNumber; + } + + /** + * Emitted after processing a batch of messages. Tracks throughput and latency for the ingestion pipeline. + */ + @Name("message.batch.processed") + @Label("Message Batch Processed") + public static class BatchProcessed extends Event { + public int messageCount; + public long processingTimeNanos; + public String source; + } + + /** + * Emitted when broadcasting to WebSocket clients. Tracks client load and message size distribution. + */ + @Name("websocket.broadcast") + @Label("WebSocket Broadcast") + @StackTrace(false) + public static class WebSocketBroadcast extends Event { + public int clientCount; + public int messageSizeBytes; + public String messageType; + } + + /** + * Emitted after SBE encode operation completes. Measures binary encoding performance. + */ + @Name("sbe.encode") + @Label("SBE Encode Operation") + @StackTrace(false) + public static class SbeEncode extends Event { + public String messageType; + public int encodedBytes; + public long encodeTimeNanos; + } + + /** + * Emitted after SBE decode operation completes. Measures binary decoding performance in the fragment handler. + */ + @Name("sbe.decode") + @Label("SBE Decode Operation") + @StackTrace(false) + public static class SbeDecode extends Event { + public String messageType; + public int decodedBytes; + public long decodeTimeNanos; + } + + /** + * Emitted when a GC pause exceeds SLA threshold. Correlates GC behavior with application performance degradation. + */ + @Name("gc.sla.violation") + @Label("GC SLA Violation") + public static class SlaViolation extends Event { + public long pauseTimeMillis; + public String threshold; + public long violationsInWindow; + } + + /** + * Emitted when Aeron publication experiences backpressure. Indicates consumer cannot keep up with producer rate. + */ + @Name("aeron.backpressure") + @Label("Aeron Backpressure Event") + public static class BackpressureEvent extends Event { + public String messageType; + public int consecutiveFailures; + public String result; + } + + /** + * Emitted during burst mode activation. Tracks when the system enters high-allocation phases for GC stress testing. + */ + @Name("burst.mode.activated") + @Label("Burst Mode Activated") + public static class BurstModeActivated extends Event { + public int multiplier; + public String reason; + public long secondOfMinute; + } +} diff --git a/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java b/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java index 7065b73..0933428 100644 --- a/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java +++ b/src/main/java/fish/payara/trader/monitoring/GCPauseMonitor.java @@ -2,6 +2,7 @@ import com.sun.management.GarbageCollectionNotificationInfo; import com.sun.management.GcInfo; +import fish.payara.trader.jfr.MarketDataEvents; import jakarta.annotation.PostConstruct; import jakarta.annotation.PreDestroy; import jakarta.enterprise.context.ApplicationScoped; @@ -116,11 +117,14 @@ private void recordPause(long pauseMs, String gcName, String gcAction) { violationsOver100ms.incrementAndGet(); violationsOver50ms.incrementAndGet(); violationsOver10ms.incrementAndGet(); + emitSlaViolation(pauseMs, ">100ms"); } else if (pauseMs > 50) { violationsOver50ms.incrementAndGet(); violationsOver10ms.incrementAndGet(); + emitSlaViolation(pauseMs, ">50ms"); } else if (pauseMs > 10) { violationsOver10ms.incrementAndGet(); + emitSlaViolation(pauseMs, ">10ms"); } if (pauseMs > 100) { @@ -130,6 +134,16 @@ private void recordPause(long pauseMs, String gcName, String gcAction) { } } + private void emitSlaViolation(long pauseMs, String threshold) { + MarketDataEvents.SlaViolation event = new MarketDataEvents.SlaViolation(); + if (event.isEnabled()) { + event.pauseTimeMillis = pauseMs; + event.threshold = threshold; + event.violationsInWindow = violationsOver10ms.get(); + event.commit(); + } + } + public GCPauseStats getStats() { List pauses = new ArrayList<>(pauseHistory); diff --git a/src/main/java/fish/payara/trader/rest/JfrRecordingResource.java b/src/main/java/fish/payara/trader/rest/JfrRecordingResource.java new file mode 100644 index 0000000..c4a2dad --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/JfrRecordingResource.java @@ -0,0 +1,315 @@ +package fish.payara.trader.rest; + +import jakarta.ws.rs.GET; +import jakarta.ws.rs.POST; +import jakarta.ws.rs.Path; +import jakarta.ws.rs.PathParam; +import jakarta.ws.rs.Produces; +import jakarta.ws.rs.QueryParam; +import jakarta.ws.rs.DefaultValue; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; +import jdk.jfr.FlightRecorder; +import jdk.jfr.Recording; +import jdk.jfr.RecordingState; + +import java.io.IOException; +import java.nio.file.Files; +import java.nio.file.attribute.BasicFileAttributes; +import java.time.Duration; +import java.time.Instant; +import java.util.*; +import java.util.concurrent.CompletableFuture; +import java.util.logging.Level; +import java.util.logging.Logger; +import java.util.stream.Collectors; + +/** + * REST endpoint for Java Flight Recorder (JFR) management. + * + *

    + * Provides endpoints for: + *

      + *
    • Checking JFR availability and recording status
      • + *
    • Starting ad-hoc recordings with configurable duration
      • + *
    • Listing active and stopped recordings
      • + *
    • Downloading recordings as .jfr files
      • + *
    + * + *

    + * Requires JDK Flight Recorder to be enabled (included with Azul Platform Prime and Oracle JDK). + */ +@Path("/jfr") +public class JfrRecordingResource { + + private static final Logger LOGGER = Logger.getLogger(JfrRecordingResource.class.getName()); + private static final java.nio.file.Path RECORDINGS_DIR = java.nio.file.Paths.get("/opt/payara/recordings"); + + /** Get JFR availability and recording status */ + @GET + @Path("/status") + @Produces(MediaType.APPLICATION_JSON) + public Response getStatus() { + Map status = new HashMap<>(); + + boolean available = FlightRecorder.isAvailable(); + boolean initialized = FlightRecorder.isInitialized(); + + status.put("jfrAvailable", available); + status.put("jfrInitialized", initialized); + + if (!available) { + status.put("message", "Flight Recorder is not available on this JVM"); + status.put("suggestion", "Use Azul Platform Prime or Oracle JDK with -XX:+FlightRecorder"); + return Response.ok(status).build(); + } + + List> recordings = FlightRecorder.getFlightRecorder() + .getRecordings() + .stream() + .map(this::recordingToMap) + .collect(Collectors.toList()); + + status.put("recordings", recordings); + status.put("activeRecordingCount", (int) recordings.stream().filter(r -> "RUNNING".equals(r.get("state"))).count()); + + return Response.ok(status).build(); + } + + /** Start a new JFR recording */ + @POST + @Path("/recording/start") + @Produces(MediaType.APPLICATION_JSON) + public Response startRecording(@QueryParam("name") @DefaultValue("ad-hoc") String name, + @QueryParam("durationSeconds") @DefaultValue("60") int durationSeconds, + @QueryParam("maxSize") @DefaultValue("1073741824") long maxSizeBytes) { + + if (!FlightRecorder.isAvailable()) { + return Response.status(Response.Status.SERVICE_UNAVAILABLE).entity(Map.of("error", "Flight Recorder is not available")).build(); + } + + Map options = new HashMap<>(); + options.put("name", name); + + Recording recording = new Recording(options); + recording.setMaxSize(maxSizeBytes); + recording.setMaxAge(Duration.ofSeconds(durationSeconds)); + + recording.enable("jdk.CPUInformation"); + recording.enable("jdk.GCPhaseParallel"); + recording.enable("jdk.ObjectAllocationInNewTLAB"); + recording.enable("jdk.ObjectAllocationOutsideTLAB"); + recording.enable("jdk.VirtualThreadStart"); + recording.enable("jdk.VirtualThreadEnd"); + recording.enable("jdk.ExecutionSample").with("period", "10 ms"); + + recording.enable("trade.published"); + recording.enable("quote.published"); + recording.enable("marketdepth.published"); + recording.enable("message.batch.processed"); + recording.enable("websocket.broadcast"); + recording.enable("sbe.encode"); + recording.enable("sbe.decode"); + recording.enable("gc.sla.violation"); + recording.enable("aeron.backpressure"); + recording.enable("burst.mode.activated"); + + recording.start(); + + final long recordingId = recording.getId(); + CompletableFuture.runAsync(() -> { + try { + Thread.sleep(durationSeconds * 1000L); + Recording r = findRecording(recordingId); + if (r != null && r.getState() == RecordingState.RUNNING) { + r.stop(); + dumpRecording(r); + LOGGER.info("Auto-stopped recording: " + r.getName() + " (" + recordingId + ")"); + } + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + LOGGER.warning("Recording stop interrupted for: " + name); + } + }); + + LOGGER.info("Started JFR recording: " + name + " (" + recordingId + ") for " + durationSeconds + "s"); + + return Response.ok( + Map.of("recordingId", recordingId, "name", name, "durationSeconds", durationSeconds, "maxSizeBytes", maxSizeBytes, "state", "RUNNING")) + .build(); + } + + /** Stop a running recording */ + @POST + @Path("/recording/stop") + @Produces(MediaType.APPLICATION_JSON) + public Response stopRecording(@QueryParam("id") long recordingId) { + if (!FlightRecorder.isAvailable()) { + return Response.status(Response.Status.SERVICE_UNAVAILABLE).entity(Map.of("error", "Flight Recorder is not available")).build(); + } + + Recording recording = findRecording(recordingId); + if (recording == null) { + return Response.status(Response.Status.NOT_FOUND).entity(Map.of("error", "Recording not found", "recordingId", recordingId)).build(); + } + + if (recording.getState() != RecordingState.RUNNING) { + return Response.ok(Map.of("recordingId", recordingId, "state", recording.getState().toString(), "message", "Recording is not running")).build(); + } + + recording.stop(); + dumpRecording(recording); + + return Response.ok(Map.of("recordingId", recordingId, "state", "STOPPED", "message", "Recording stopped and dumped to disk")).build(); + } + + /** List all recordings with their metadata */ + @GET + @Path("/recordings") + @Produces(MediaType.APPLICATION_JSON) + public Response listRecordings() { + if (!FlightRecorder.isAvailable()) { + return Response.status(Response.Status.SERVICE_UNAVAILABLE).entity(Map.of("error", "Flight Recorder is not available")).build(); + } + + List> recordings = FlightRecorder.getFlightRecorder().getRecordings().stream().map(this::recordingToMap).toList(); + + return Response.ok(Map.of("recordings", recordings)).build(); + } + + /** Get statistics about recorded events */ + @GET + @Path("/stats") + @Produces(MediaType.APPLICATION_JSON) + public Response getEventStats() { + if (!FlightRecorder.isAvailable()) { + return Response.status(Response.Status.SERVICE_UNAVAILABLE).entity(Map.of("error", "Flight Recorder is not available")).build(); + } + + Map stats = new HashMap<>(); + FlightRecorder recorder = FlightRecorder.getFlightRecorder(); + + stats.put("recordingCount", recorder.getRecordings().size()); + stats.put("eventTypes", recorder.getEventTypes().size()); + + long activeCount = recorder.getRecordings().stream().filter(r -> r.getState() == RecordingState.RUNNING).count(); + stats.put("activeRecordings", activeCount); + + return Response.ok(stats).build(); + } + + /** List all .jfr files available for download */ + @GET + @Path("/files") + @Produces(MediaType.APPLICATION_JSON) + public Response listFiles() { + try { + if (!Files.exists(RECORDINGS_DIR)) { + return Response.ok(Map.of("files", List.of(), "message", "Recordings directory does not exist")).build(); + } + + List> files = Files.list(RECORDINGS_DIR).filter(p -> p.toString().endsWith(".jfr")).map(p -> { + try { + BasicFileAttributes attrs = Files.readAttributes(p, BasicFileAttributes.class); + Map file = new HashMap<>(); + file.put("filename", p.getFileName().toString()); + file.put("size", attrs.size()); + file.put("sizeFormatted", formatBytes(attrs.size())); + file.put("lastModified", attrs.lastModifiedTime().toMillis()); + file.put("lastModifiedFormatted", Instant.ofEpochMilli(attrs.lastModifiedTime().toMillis()).toString()); + file.put("downloadUrl", "/api/jfr/download/" + p.getFileName().toString()); + return file; + } catch (IOException e) { + LOGGER.log(Level.WARNING, "Failed to read attributes for: " + p, e); + return null; + } + }).filter(Objects::nonNull).toList(); + + return Response.ok(Map.of("files", files, "count", files.size())).build(); + } catch (IOException e) { + LOGGER.log(Level.SEVERE, "Failed to list recording files", e); + return Response.status(Response.Status.INTERNAL_SERVER_ERROR).entity(Map.of("error", "Failed to list files", "message", e.getMessage())).build(); + } + } + + /** Download a specific JFR file */ + @GET + @Path("/download/{filename}") + public Response downloadFile(@PathParam("filename") String filename) { + if (filename == null || filename.isEmpty()) { + return Response.status(Response.Status.BAD_REQUEST).entity(Map.of("error", "Filename is required")).type(MediaType.APPLICATION_JSON).build(); + } + + java.nio.file.Path filePath = RECORDINGS_DIR.resolve(filename); + + if (!Files.exists(filePath)) { + return Response.status(Response.Status.NOT_FOUND) + .entity(Map.of("error", "File not found", "filename", filename)) + .type(MediaType.APPLICATION_JSON) + .build(); + } + + if (!filename.endsWith(".jfr")) { + return Response.status(Response.Status.BAD_REQUEST).entity(Map.of("error", "Only .jfr files are allowed")).type(MediaType.APPLICATION_JSON).build(); + } + + try { + byte[] fileContent = Files.readAllBytes(filePath); + String contentDisposition = "attachment; filename=\"" + filename + "\""; + + return Response.ok(fileContent) + .type("application/octet-stream") + .header("Content-Disposition", contentDisposition) + .header("Content-Length", fileContent.length) + .build(); + } catch (IOException e) { + LOGGER.log(Level.SEVERE, "Failed to read file: " + filename, e); + return Response.status(Response.Status.INTERNAL_SERVER_ERROR) + .entity(Map.of("error", "Failed to read file", "message", e.getMessage())) + .type(MediaType.APPLICATION_JSON) + .build(); + } + } + + /** Format bytes to human-readable size */ + private String formatBytes(long bytes) { + if (bytes < 1024) + return bytes + " B"; + if (bytes < 1024 * 1024) + return String.format("%.2f KB", bytes / 1024.0); + if (bytes < 1024 * 1024 * 1024) + return String.format("%.2f MB", bytes / (1024.0 * 1024.0)); + return String.format("%.2f GB", bytes / (1024.0 * 1024.0 * 1024.0)); + } + + /** Dump a recording to disk */ + private void dumpRecording(Recording recording) { + try { + Files.createDirectories(RECORDINGS_DIR); + java.nio.file.Path outputPath = RECORDINGS_DIR.resolve(recording.getName() + "-" + recording.getId() + ".jfr"); + recording.dump(outputPath); + LOGGER.info("Recording dumped to: " + outputPath); + } catch (IOException e) { + LOGGER.log(Level.SEVERE, "Failed to dump recording: " + recording.getName(), e); + } + } + + /** Find a recording by ID */ + private Recording findRecording(long recordingId) { + Optional found = FlightRecorder.getFlightRecorder().getRecordings().stream().filter(r -> r.getId() == recordingId).findFirst(); + return found.orElse(null); + } + + /** Convert Recording to Map for JSON serialization */ + private Map recordingToMap(Recording recording) { + Map map = new HashMap<>(); + map.put("id", recording.getId()); + map.put("name", recording.getName()); + map.put("state", recording.getState().toString()); + map.put("duration", recording.getMaxAge() != null ? recording.getMaxAge().toMillis() + "ms" : "unlimited"); + map.put("maxSize", recording.getMaxSize() + " bytes"); + map.put("startTime", recording.getStartTime()); + map.put("size", recording.getSize()); + return map; + } +} diff --git a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java index 40e43d3..dd4082e 100644 --- a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java +++ b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java @@ -2,6 +2,7 @@ import com.hazelcast.core.HazelcastInstance; import com.hazelcast.topic.ITopic; +import fish.payara.trader.jfr.MarketDataEvents; import jakarta.annotation.PostConstruct; import jakarta.enterprise.context.ApplicationScoped; import jakarta.inject.Inject; @@ -108,6 +109,10 @@ private void broadcastLocal(String jsonMessage) { } long startTime = System.currentTimeMillis(); + int sessionCount = sessions.size(); + + // Extract message type from JSON for JFR event + String messageType = extractMessageType(jsonMessage); sessions.removeIf(session -> { if (!session.isOpen()) { @@ -123,6 +128,16 @@ private void broadcastLocal(String jsonMessage) { }); long latency = System.currentTimeMillis() - startTime; + + // JFR event for WebSocket broadcast + MarketDataEvents.WebSocketBroadcast wsEvent = new MarketDataEvents.WebSocketBroadcast(); + if (wsEvent.isEnabled()) { + wsEvent.clientCount = sessionCount; + wsEvent.messageSizeBytes = jsonMessage.length(); + wsEvent.messageType = messageType; + wsEvent.commit(); + } + if (slaMonitor != null) { slaMonitor.recordOperation(latency); } @@ -130,6 +145,28 @@ private void broadcastLocal(String jsonMessage) { logStatistics(); } + /** + * Extract message type from JSON for JFR event. Parses {"type":"..."} pattern from the message. + */ + private String extractMessageType(String jsonMessage) { + if (jsonMessage == null || jsonMessage.isEmpty()) { + return "unknown"; + } + int typeStart = jsonMessage.indexOf("\"type\":"); + if (typeStart == -1) { + return "unknown"; + } + int valueStart = jsonMessage.indexOf("\"", typeStart + 7); + if (valueStart == -1) { + return "unknown"; + } + int valueEnd = jsonMessage.indexOf("\"", valueStart + 1); + if (valueEnd == -1) { + return "unknown"; + } + return jsonMessage.substring(valueStart + 1, valueEnd); + } + /** * Broadcast to all clients with additional garbage generation for GC stress. * diff --git a/src/main/webapp/index.html b/src/main/webapp/index.html index 0e368bc..c2c9bd5 100644 --- a/src/main/webapp/index.html +++ b/src/main/webapp/index.html @@ -899,9 +899,8 @@

    TradeStreamEE

    - +     Read Blog
    @@ -1294,6 +1293,28 @@

    System Log

    + + + diff --git a/src/test/java/fish/payara/trader/utils/GCTestUtil.java b/src/test/java/fish/payara/trader/utils/GCTestUtil.java index ac14a77..3493379 100644 --- a/src/test/java/fish/payara/trader/utils/GCTestUtil.java +++ b/src/test/java/fish/payara/trader/utils/GCTestUtil.java @@ -79,7 +79,6 @@ public static MemoryPressureThread createMemoryPressure(int allocationRateMB, in /** Forces a garbage collection and waits for completion */ public static void forceGC() { System.gc(); - System.runFinalization(); // Small delay to allow GC to complete try { From d1ca0c9614f206526fba8b261290a2d2f5e262a1 Mon Sep 17 00:00:00 2001 From: Luqman Saeed Date: Thu, 22 Jan 2026 16:03:31 +0000 Subject: [PATCH 13/33] Introduce full page comparison --- demo-quick-start.sh | 286 +++++ .../trader/aeron/MarketDataPublisher.java | 7 + .../payara/trader/demo/DemoPresetService.java | 1 - .../trader/dto/BusinessImpactResponse.java | 17 +- .../trader/dto/GCComparisonResponse.java | 22 +- .../fish/payara/trader/gc/GCStatsService.java | 2 - .../impact/BusinessImpactCalculator.java | 3 - .../trader/monitoring/SLAMonitorService.java | 2 +- .../pressure/MemoryPressureService.java | 13 - .../payara/trader/rest/GCStatsResource.java | 14 +- .../payara/trader/rest/HealthResource.java | 100 ++ .../trader/rest/MemoryPressureResource.java | 1 - .../payara/trader/rest/StatusResource.java | 1 - .../payara/trader/util/InstanceUtils.java | 51 + .../websocket/MarketDataBroadcaster.java | 5 +- src/main/webapp/comparison.html | 1126 +++++++++++++++++ src/main/webapp/health.html | 552 ++++++++ src/main/webapp/index.html | 285 ++++- 18 files changed, 2387 insertions(+), 101 deletions(-) create mode 100755 demo-quick-start.sh create mode 100644 src/main/java/fish/payara/trader/rest/HealthResource.java create mode 100644 src/main/webapp/comparison.html create mode 100644 src/main/webapp/health.html diff --git a/demo-quick-start.sh b/demo-quick-start.sh new file mode 100755 index 0000000..3cf3082 --- /dev/null +++ b/demo-quick-start.sh @@ -0,0 +1,286 @@ +#!/bin/bash + +set -e + +USAGE=" +Usage: ./demo-quick-start.sh [OPTIONS] + +Quick demo launcher for TradeStreamEE. Uses pre-built images for fast startup. + +OPTIONS: + all Start both clusters with monitoring (default) + apps Start clusters only (no monitoring) + c4 Start C4 cluster only + g1 Start G1 cluster only + stop Stop all demo services + help Show this help message + +EXAMPLES: + ./demo-quick-start.sh # Start everything (recommended for demos) + ./demo-quick-start.sh apps # Start clusters only, no monitoring + ./demo-quick-start.sh stop # Stop all services +" + +# Default mode +MODE="${1:-all}" + +# Color output +RED='\033[0;31m' +GREEN='\033[0;32m' +YELLOW='\033[1;33m' +BLUE='\033[0;34m' +NC='\033[0m' # No Color + +print_header() { + echo "" + echo "================================================" + echo " TradeStreamEE - Quick Demo Launcher" + echo "================================================" + echo "" +} + +print_success() { + echo -e "${GREEN}✓${NC} $1" +} + +print_error() { + echo -e "${RED}✗${NC} $1" +} + +print_info() { + echo -e "${BLUE}ℹ${NC} $1" +} + +print_warning() { + echo -e "${YELLOW}⚠${NC} $1" +} + +# Check if Docker is running +check_docker() { + if ! docker info &> /dev/null; then + print_error "Docker is not running. Please start Docker and try again." + exit 1 + fi + print_success "Docker is running" +} + +# Check required images +check_images() { + print_info "Checking for required Docker images..." + + C4_IMAGE=$(docker images -q trader-stream-ee:c4 2>/dev/null) + G1_IMAGE=$(docker images -q trader-stream-ee:g1 2>/dev/null) + + if [ -z "$C4_IMAGE" ] || [ -z "$G1_IMAGE" ]; then + print_warning "Pre-built images not found. Building now (this takes 2-3 minutes)..." + build_images + else + print_success "Pre-built images found" + fi +} + +# Build images if needed +build_images() { + print_info "Building Docker images..." + docker build -t trader-stream-ee:c4 -f Dockerfile.scale . + docker build -t trader-stream-ee:g1 -f Dockerfile.scale.standard . + print_success "Images built successfully" +} + +# Create networks +create_networks() { + print_info "Creating Docker networks..." + docker network create trader-network 2>/dev/null || echo "Network trader-network exists" + docker network create monitoring 2>/dev/null || echo "Network monitoring exists" + print_success "Networks ready" +} + +# Download JMX Exporter +download_jmx_exporter() { + if [ ! -f "monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar" ]; then + print_info "Downloading JMX Exporter..." + mkdir -p monitoring/jmx-exporter + wget -q -O monitoring/jmx-exporter/jmx_prometheus_javaagent-1.0.1.jar \ + https://repo1.maven.org/maven2/io/prometheus/jmx/jmx_prometheus_javaagent/1.0.1/jmx_prometheus_javaagent-1.0.1.jar + print_success "JMX Exporter downloaded" + fi +} + +# Start monitoring stack +start_monitoring() { + print_info "Starting monitoring stack..." + docker compose -f docker-compose-monitoring.yml up -d + print_success "Monitoring stack started" + sleep 5 +} + +# Start C4 cluster +start_c4() { + print_info "Starting C4 cluster (ports 8080-8083)..." + docker compose -f docker-compose-c4.yml up -d + print_success "C4 cluster started" +} + +# Start G1 cluster +start_g1() { + print_info "Starting G1 cluster (ports 9080-9083)..." + docker compose -f docker-compose-g1.yml up -d + print_success "G1 cluster started" +} + +# Stop all services +stop_all() { + print_info "Stopping all demo services..." + + # Stop clusters + docker compose -f docker-compose-c4.yml down 2>/dev/null || true + docker compose -f docker-compose-g1.yml down 2>/dev/null || true + + # Stop monitoring if requested + if [ "$MODE" = "stop" ]; then + docker compose -f docker-compose-monitoring.yml down 2>/dev/null || true + fi + + print_success "All services stopped" +} + +# Wait for clusters to be ready +wait_for_ready() { + print_info "Waiting for clusters to initialize (this may take 30-60 seconds)..." + + local c4_ready=false + local g1_ready=false + local attempts=0 + local max_attempts=30 + + while [ $attempts -lt $max_attempts ]; do + if [ "$c4_ready" = false ]; then + if curl -s http://localhost:8080/trader-stream-ee/api/status &> /dev/null; then + c4_ready=true + print_success "C4 cluster is ready" + fi + fi + + if [ "$g1_ready" = false ]; then + if curl -s http://localhost:9080/trader-stream-ee/api/status &> /dev/null; then + g1_ready=true + print_success "G1 cluster is ready" + fi + fi + + if [ "$c4_ready" = true ] && [ "$g1_ready" = true ]; then + break + fi + + sleep 2 + attempts=$((attempts + 1)) + echo -n "." + done + echo "" + + if [ $attempts -eq $max_attempts ]; then + print_warning "Clusters are taking longer than expected. Check logs with: docker compose logs" + fi +} + +# Show access information +show_access_info() { + echo "" + echo "================================================" + echo " Demo Ready!" + echo "================================================" + echo "" + echo "Application Endpoints:" + echo " C4 Cluster: http://localhost:8080/trader-stream-ee/" + echo " G1 Cluster: http://localhost:9080/trader-stream-ee/" + echo " Comparison: http://localhost:8080/trader-stream-ee/comparison.html" + echo " Health Check: http://localhost:8080/trader-stream-ee/health.html" + echo "" + + # Check if monitoring is running + if docker ps | grep -q "trader-prometheus"; then + echo "Monitoring:" + echo " Grafana: http://localhost:3000 (admin/admin)" + echo " Prometheus: http://localhost:9090" + echo "" + fi + + echo "Quick Demo Commands:" + echo " # Apply stress test to both clusters" + echo " curl -X POST http://localhost:8080/trader-stream-ee/api/pressure/mode/PROMOTION_STORM" + echo " curl -X POST http://localhost:9080/trader-stream-ee/api/pressure/mode/PROMOTION_STORM" + echo "" + echo " # Check GC stats" + echo " curl http://localhost:8080/trader-stream-ee/api/gc/stats" + echo " curl http://localhost:9080/trader-stream-ee/api/gc/stats" + echo "" + echo "To stop: ./demo-quick-start.sh stop" + echo "" +} + +# Main execution +main() { + case $MODE in + help|--help|-h) + echo "$USAGE" + exit 0 + ;; + stop) + print_header + check_docker + stop_all + exit 0 + ;; + apps) + START_MONITORING=false + ;; + c4) + print_header + check_docker + check_images + create_networks + download_jmx_exporter + start_c4 + echo "" + print_success "C4 Cluster running on http://localhost:8080/trader-stream-ee/" + exit 0 + ;; + g1) + print_header + check_docker + check_images + create_networks + download_jmx_exporter + start_g1 + echo "" + print_success "G1 Cluster running on http://localhost:9080/trader-stream-ee/" + exit 0 + ;; + all|"") + START_MONITORING=true + ;; + *) + echo "Unknown mode: $MODE" + echo "$USAGE" + exit 1 + ;; + esac + + print_header + check_docker + check_images + create_networks + download_jmx_exporter + + if [ "$START_MONITORING" = true ]; then + start_monitoring + fi + + start_c4 + start_g1 + + wait_for_ready + show_access_info +} + +main "$@" diff --git a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java index 100465f..323803f 100644 --- a/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java +++ b/src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java @@ -734,4 +734,11 @@ public long getMessageRatePerSecond() { lastRateCheckTime = now; return Math.max(rate, 0); } + + /** + * Check if the publisher is actively running and publishing messages. Used by health check endpoints to verify system readiness. + */ + public boolean isRunning() { + return running; + } } diff --git a/src/main/java/fish/payara/trader/demo/DemoPresetService.java b/src/main/java/fish/payara/trader/demo/DemoPresetService.java index 4d999b8..794ffa1 100644 --- a/src/main/java/fish/payara/trader/demo/DemoPresetService.java +++ b/src/main/java/fish/payara/trader/demo/DemoPresetService.java @@ -92,7 +92,6 @@ public boolean executeStep(String executionId, int stepIndex) { AllocationMode mode = AllocationMode.valueOf(step.mode()); pressureService.setAllocationMode(mode); context.markStepCompleted(stepIndex); - // Put updated context back into distributed map activeExecutions.put(executionId, context); LOGGER.info("Executed step " + stepIndex + " of preset " + context.presetId() + ": " + step.mode()); return true; diff --git a/src/main/java/fish/payara/trader/dto/BusinessImpactResponse.java b/src/main/java/fish/payara/trader/dto/BusinessImpactResponse.java index 45bc4f0..924d33b 100644 --- a/src/main/java/fish/payara/trader/dto/BusinessImpactResponse.java +++ b/src/main/java/fish/payara/trader/dto/BusinessImpactResponse.java @@ -3,21 +3,8 @@ /** * Response DTO for business impact calculations. Shows the business cost of SLA violations in terms of missed trades and revenue. */ -public record BusinessImpactResponse( - // Configuration - int tradeValue, String currency, long messageRate, - - // Violation impact - long slaViolations10ms, long missedTrades, long revenueAtRisk, - - // SLA compliance - double slaCompliancePercent, - - // Infrastructure comparison - int instancesNeededC4, int instancesNeededG1, int infrastructureSavingsPercent, - - // Time window - long windowSeconds) { +public record BusinessImpactResponse(int tradeValue, String currency, long messageRate, long slaViolations10ms, long missedTrades, long revenueAtRisk, + double slaCompliancePercent, int instancesNeededC4, int instancesNeededG1, int infrastructureSavingsPercent, long windowSeconds) { /** * Factory method for creating impact response with all computed values. Business logic is handled by BusinessImpactCalculator. */ diff --git a/src/main/java/fish/payara/trader/dto/GCComparisonResponse.java b/src/main/java/fish/payara/trader/dto/GCComparisonResponse.java index 71ef661..c617ed4 100644 --- a/src/main/java/fish/payara/trader/dto/GCComparisonResponse.java +++ b/src/main/java/fish/payara/trader/dto/GCComparisonResponse.java @@ -8,24 +8,10 @@ /** * Response DTO for GC comparison data. Provides comprehensive GC metrics for C4 vs G1 comparison. */ -public record GCComparisonResponse( - // Instance identification - String instanceName, String jvmVendor, String jvmName, String gcCollectors, boolean isAzulC4, - - // Memory configuration - long heapSizeMB, String allocationMode, int allocationRateMBps, long messageRate, - - // GC statistics - List gcStats, - - // Pause percentiles - double pauseP50Ms, double pauseP95Ms, double pauseP99Ms, double pauseP999Ms, double pauseMaxMs, double pauseAvgMs, - - // Pause counts - long totalPauseCount, long totalPauseTimeMs, - - // SLA violations - long slaViolations10ms, long slaViolations50ms, long slaViolations100ms, int pauseSampleSize) { +public record GCComparisonResponse(String instanceName, String jvmVendor, String jvmName, String gcCollectors, boolean isAzulC4, long heapSizeMB, + String allocationMode, int allocationRateMBps, long messageRate, List gcStats, double pauseP50Ms, double pauseP95Ms, double pauseP99Ms, + double pauseP999Ms, double pauseMaxMs, double pauseAvgMs, long totalPauseCount, long totalPauseTimeMs, long slaViolations10ms, + long slaViolations50ms, long slaViolations100ms, int pauseSampleSize) { /** * Creates response from collected GC data. */ diff --git a/src/main/java/fish/payara/trader/gc/GCStatsService.java b/src/main/java/fish/payara/trader/gc/GCStatsService.java index e4a3368..4eaa8ab 100644 --- a/src/main/java/fish/payara/trader/gc/GCStatsService.java +++ b/src/main/java/fish/payara/trader/gc/GCStatsService.java @@ -211,7 +211,6 @@ public List collectGCStats() { stats.setUsedMemory(heapUsage.getUsed()); stats.setFreeMemory(heapUsage.getMax() - heapUsage.getUsed()); - // Add phase breakdown if available ConcurrentLinkedDeque phaseHist = phaseHistory.get(gcName); if (phaseHist != null && !phaseHist.isEmpty()) { stats.setPhaseBreakdown(calculatePhaseStats(new ArrayList<>(phaseHist))); @@ -265,7 +264,6 @@ private Map calculatePhaseStats(List break } } - // Calculate percentiles for each phase for (Map.Entry> entry : phaseGroups.entrySet()) { String phaseName = entry.getKey(); List durations = entry.getValue(); diff --git a/src/main/java/fish/payara/trader/impact/BusinessImpactCalculator.java b/src/main/java/fish/payara/trader/impact/BusinessImpactCalculator.java index afeed56..dde97d6 100644 --- a/src/main/java/fish/payara/trader/impact/BusinessImpactCalculator.java +++ b/src/main/java/fish/payara/trader/impact/BusinessImpactCalculator.java @@ -29,10 +29,7 @@ public BusinessImpactResponse calculateImpact() { long messageRate = marketDataPublisher.getMessageRatePerSecond(); long slaViolations10ms = stats.violationsOver10ms; - // Calculate SLA compliance double slaCompliancePercent = calculateSLACompliance(stats.totalPauseCount, slaViolations10ms); - - // Calculate business impact long missedTrades = calculateMissedTrades(messageRate, slaViolations10ms); long revenueAtRisk = missedTrades * config.tradeValue(); int savingsPercent = calculateSavingsPercent(config.instancesNeededC4(), config.instancesNeededG1()); diff --git a/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java b/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java index e7767cc..97c7579 100644 --- a/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java +++ b/src/main/java/fish/payara/trader/monitoring/SLAMonitorService.java @@ -69,7 +69,7 @@ public static class SLAStats { public final long violationsOver50ms; public final long violationsOver100ms; public final double violationRate; - public final long recentViolations; // Last 5 minutes + public final long recentViolations; public SLAStats(long totalOperations, long violationsOver10ms, long violationsOver50ms, long violationsOver100ms, double violationRate, long recentViolations) { diff --git a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java index 5b27c10..7c4d4f1 100644 --- a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java +++ b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java @@ -131,7 +131,6 @@ private synchronized void startPressure() { } LOGGER.info("Memory pressure generator stopped"); - // Cleanup liveSet.clear(); liveSetBytesAllocated.set(0); promotableObjects.clear(); @@ -166,7 +165,6 @@ private void generateGarbage(AllocationMode mode) { executeCrossRefsScenario(mode); break; default : - // Do nothing for NONE break; } } @@ -193,7 +191,6 @@ private void executeGrowingHeapScenario(AllocationMode mode) { int targetMB = mode.getLiveSetSizeMB(); int duration = mode.getGrowthDurationSeconds(); - // Calculate current target based on linear growth int currentTargetMB = elapsed >= duration ? targetMB : startMB + (int) ((targetMB - startMB) * elapsed / duration); maintainLiveSet(currentTargetMB); @@ -217,14 +214,12 @@ private void executePromotionStormScenario(AllocationMode mode) { allocateTransientGarbageMultiThreaded(transientBytes, 4); allocatePromotableGarbageMultiThreaded(promotableBytes, 4); - // Move from thread-safe queue to local live set management byte[] promoted; while ((promoted = promotableObjects.poll()) != null) { liveSet.add(promoted); liveSetBytesAllocated.addAndGet(promoted.length); } - // Now trim live set if needed (remove oldest) long targetBytes = mode.getLiveSetSizeMB() * 1024L * 1024L; while (liveSetBytesAllocated.get() > targetBytes && !liveSet.isEmpty()) { byte[] removed = liveSet.removeFirst(); @@ -249,8 +244,6 @@ private void executeCrossRefsScenario(AllocationMode mode) { int rateMBPerSec = mode.getAllocationRateMBPerSec(); int bytesPerIteration = (rateMBPerSec * 1024 * 1024) / 10; - // Create young objects and link them from old gen holders - // This triggers G1's write barriers and remembered set updates createCrossGenerationalRefsMultiThreaded(bytesPerIteration, 4); } @@ -261,7 +254,6 @@ private void maintainCrossRefHolders(int targetMB) { long targetBytes = targetMB * 1024L * 1024L; long currentBytes = crossRefBytesAllocated.get(); - // Add holders if below target while (currentBytes < targetBytes) { RefHolder holder = new RefHolder(1024 * 1024); // ~1MB each crossRefHolders.add(holder); @@ -269,7 +261,6 @@ private void maintainCrossRefHolders(int targetMB) { crossRefBytesAllocated.set(currentBytes); } - // Remove holders if above target while (currentBytes > targetBytes && !crossRefHolders.isEmpty()) { crossRefHolders.removeFirst(); currentBytes -= 1024 * 1024; @@ -296,7 +287,6 @@ private void createCrossGenerationalRefsMultiThreaded(int totalBytes, int numThr futures[t] = CompletableFuture.runAsync(() -> { int remaining = bytesPerThread; while (remaining > 0) { - // Create young object (1-4KB each for variety) int size = ThreadLocalRandom.current().nextInt(1024, 4097); if (size > remaining) size = remaining; @@ -343,7 +333,6 @@ private void allocatePromotableGarbageMultiThreaded(int totalBytes, int numThrea for (int t = 0; t < numThreads; t++) { futures[t] = CompletableFuture.runAsync(() -> { - // Create objects that live long enough to be promoted byte[] obj = new byte[bytesPerThread]; ThreadLocalRandom.current().nextBytes(obj); promotableObjects.add(obj); @@ -381,7 +370,6 @@ private void maintainLiveSet(int targetMB) { long targetBytes = targetMB * 1024L * 1024L; long currentBytes = liveSetBytesAllocated.get(); - // Add objects if below target while (currentBytes < targetBytes) { byte[] obj = new byte[1024 * 1024]; // 1 MB object ThreadLocalRandom.current().nextBytes(obj); @@ -390,7 +378,6 @@ private void maintainLiveSet(int targetMB) { liveSetBytesAllocated.set(currentBytes); } - // Remove objects if above target while (currentBytes > targetBytes && !liveSet.isEmpty()) { liveSet.removeFirst(); currentBytes -= 1024 * 1024; diff --git a/src/main/java/fish/payara/trader/rest/GCStatsResource.java b/src/main/java/fish/payara/trader/rest/GCStatsResource.java index dc82a84..f00d11b 100644 --- a/src/main/java/fish/payara/trader/rest/GCStatsResource.java +++ b/src/main/java/fish/payara/trader/rest/GCStatsResource.java @@ -9,6 +9,7 @@ import fish.payara.trader.pressure.AllocationMode; import fish.payara.trader.pressure.MemoryPressureService; import fish.payara.trader.util.InstanceUtils; +import fish.payara.trader.util.InstanceUtils.JvmMetadata; import jakarta.inject.Inject; import jakarta.ws.rs.GET; import jakarta.ws.rs.POST; @@ -17,12 +18,9 @@ import jakarta.ws.rs.core.MediaType; import jakarta.ws.rs.core.Response; -import java.lang.management.GarbageCollectorMXBean; -import java.lang.management.ManagementFactory; import java.util.List; import java.util.Map; import java.util.logging.Logger; -import java.util.stream.Collectors; /** REST endpoint for GC statistics monitoring */ @Path("/gc") @@ -78,19 +76,13 @@ public Response resetGCPauseStats() { @Produces(MediaType.APPLICATION_JSON) public Response getComparison() { String instanceName = InstanceUtils.getInstanceName(); - - String jvmVendor = System.getProperty("java.vm.vendor"); - String jvmName = System.getProperty("java.vm.name"); - List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); - String gcName = gcBeans.stream().map(GarbageCollectorMXBean::getName).collect(Collectors.joining(", ")); - - boolean isAzulC4 = gcName.toLowerCase().contains("c4") || jvmName.toLowerCase().contains("zing"); + JvmMetadata jvm = InstanceUtils.getJvmMetadata(); AllocationMode currentMode = memoryPressureService.getCurrentMode(); List gcStats = gcStatsService.collectGCStats(); GCPauseMonitor.GCPauseStats pauseStats = gcPauseMonitor.getStats(); - GCComparisonResponse response = GCComparisonResponse.from(instanceName, jvmVendor, jvmName, gcName, isAzulC4, + GCComparisonResponse response = GCComparisonResponse.from(instanceName, jvm.vendor(), jvm.name(), jvm.gcCollectors(), jvm.isAzulC4(), Runtime.getRuntime().maxMemory() / (1024 * 1024), currentMode.name(), currentMode.getAllocationRateMBPerSec(), publisher.getMessagesPublished(), gcStats, pauseStats); diff --git a/src/main/java/fish/payara/trader/rest/HealthResource.java b/src/main/java/fish/payara/trader/rest/HealthResource.java new file mode 100644 index 0000000..dedd849 --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/HealthResource.java @@ -0,0 +1,100 @@ +package fish.payara.trader.rest; + +import fish.payara.trader.aeron.MarketDataPublisher; +import fish.payara.trader.monitoring.GCPauseMonitor; +import fish.payara.trader.util.InstanceUtils; +import fish.payara.trader.util.InstanceUtils.JvmMetadata; +import jakarta.inject.Inject; +import jakarta.ws.rs.GET; +import jakarta.ws.rs.Path; +import jakarta.ws.rs.Produces; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; + +import java.lang.management.ManagementFactory; +import java.lang.management.MemoryMXBean; +import java.lang.management.OperatingSystemMXBean; +import java.util.HashMap; +import java.util.Map; + +/** + * REST endpoint for health checks and pre-demo validation. Ensures all components are operational before starting a live demo. + */ +@Path("/health") +public class HealthResource { + + @Inject + private MarketDataPublisher publisher; + + @Inject + private GCPauseMonitor gcPauseMonitor; + + @GET + @Path("/check") + @Produces(MediaType.APPLICATION_JSON) + public Response healthCheck() { + Map health = new HashMap<>(); + boolean allHealthy = true; + + boolean publisherHealthy = publisher != null && publisher.isRunning(); + health.put("publisher", publisherHealthy ? "healthy" : "unhealthy"); + if (!publisherHealthy) { + allHealthy = false; + } + + boolean gcMonitorHealthy = gcPauseMonitor != null; + health.put("gcMonitor", gcMonitorHealthy ? "healthy" : "unhealthy"); + if (!gcMonitorHealthy) { + allHealthy = false; + } + + MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean(); + long heapUsed = memoryBean.getHeapMemoryUsage().getUsed(); + long heapMax = memoryBean.getHeapMemoryUsage().getMax(); + double heapPercent = (heapUsed * 100.0) / heapMax; + boolean memoryHealthy = heapPercent < 90; + health.put("memory", memoryHealthy ? "healthy" : "warning"); + health.put("memoryUsedPercent", String.format("%.1f", heapPercent)); + if (!memoryHealthy) { + allHealthy = false; + } + + OperatingSystemMXBean osBean = ManagementFactory.getOperatingSystemMXBean(); + health.put("availableProcessors", osBean.getAvailableProcessors()); + + JvmMetadata jvm = InstanceUtils.getJvmMetadata(); + health.put("jvmVendor", jvm.vendor()); + health.put("jvmName", jvm.name()); + health.put("gcCollectors", jvm.gcCollectors()); + health.put("javaVersion", System.getProperty("java.version")); + + health.put("status", allHealthy ? "healthy" : "unhealthy"); + health.put("readyForDemo", allHealthy); + + int status = allHealthy ? Response.Status.OK.getStatusCode() : Response.Status.SERVICE_UNAVAILABLE.getStatusCode(); + return Response.status(status).entity(health).build(); + } + + @GET + @Path("/ready") + @Produces(MediaType.APPLICATION_JSON) + public Response readiness() { + Map ready = new HashMap<>(); + + boolean publisherRunning = publisher != null && publisher.isRunning(); + ready.put("publisher", publisherRunning); + ready.put("ready", publisherRunning); + + return Response.ok(ready).build(); + } + + @GET + @Path("/live") + @Produces(MediaType.APPLICATION_JSON) + public Response liveness() { + Map live = new HashMap<>(); + live.put("status", "alive"); + live.put("uptime", ManagementFactory.getRuntimeMXBean().getUptime()); + return Response.ok(live).build(); + } +} diff --git a/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java b/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java index a942dbd..a8fba20 100644 --- a/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java +++ b/src/main/java/fish/payara/trader/rest/MemoryPressureResource.java @@ -45,7 +45,6 @@ public Response setMode(@PathParam("mode") String modeStr) { Map error = new HashMap<>(); error.put("success", false); error.put("error", "Invalid mode: " + modeStr); - // Valid modes are all values of AllocationMode StringBuilder validModes = new StringBuilder(); for (AllocationMode m : AllocationMode.values()) { validModes.append(m.name()).append(", "); diff --git a/src/main/java/fish/payara/trader/rest/StatusResource.java b/src/main/java/fish/payara/trader/rest/StatusResource.java index 84ae1c8..7093c1f 100644 --- a/src/main/java/fish/payara/trader/rest/StatusResource.java +++ b/src/main/java/fish/payara/trader/rest/StatusResource.java @@ -45,7 +45,6 @@ public Response getStatus() { status.put("instance", instanceName); status.put("subscriber", subscriber.getStatus()); - // Include both local and cluster-wide message counts Map publisherStats = new HashMap<>(); publisherStats.put("localMessagesPublished", publisher.getMessagesPublished()); publisherStats.put("clusterMessagesPublished", publisher.getClusterMessagesPublished()); diff --git a/src/main/java/fish/payara/trader/util/InstanceUtils.java b/src/main/java/fish/payara/trader/util/InstanceUtils.java index 9cc5a76..4fe1097 100644 --- a/src/main/java/fish/payara/trader/util/InstanceUtils.java +++ b/src/main/java/fish/payara/trader/util/InstanceUtils.java @@ -1,5 +1,7 @@ package fish.payara.trader.util; +import java.lang.management.GarbageCollectorMXBean; +import java.lang.management.ManagementFactory; import java.util.List; /** @@ -35,4 +37,53 @@ public static long percentile(List sortedValues, double percentile) { index = Math.max(0, Math.min(index, sortedValues.size() - 1)); return sortedValues.get(index); } + + /** + * JVM metadata containing vendor, name, and garbage collector information. + */ + public static final class JvmMetadata { + private final String vendor; + private final String name; + private final String gcCollectors; + private final boolean isAzulC4; + + public JvmMetadata(String vendor, String name, String gcCollectors, boolean isAzulC4) { + this.vendor = vendor; + this.name = name; + this.gcCollectors = gcCollectors; + this.isAzulC4 = isAzulC4; + } + + public String vendor() { + return vendor; + } + + public String name() { + return name; + } + + public String gcCollectors() { + return gcCollectors; + } + + public boolean isAzulC4() { + return isAzulC4; + } + } + + /** + * Extracts JVM metadata from system properties and GC beans. + * + * @return JVM metadata including vendor, name, GC collectors, and C4 detection + */ + public static JvmMetadata getJvmMetadata() { + String vendor = System.getProperty("java.vm.vendor"); + String name = System.getProperty("java.vm.name"); + List gcBeans = ManagementFactory.getGarbageCollectorMXBeans(); + String gcCollectors = gcBeans.stream().map(GarbageCollectorMXBean::getName).reduce((a, b) -> a + ", " + b).orElse(""); + + boolean isAzulC4 = gcCollectors.toLowerCase().contains("c4") || name.toLowerCase().contains("zing"); + + return new JvmMetadata(vendor, name, gcCollectors, isAzulC4); + } } diff --git a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java index dd4082e..64f1165 100644 --- a/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java +++ b/src/main/java/fish/payara/trader/websocket/MarketDataBroadcaster.java @@ -41,7 +41,6 @@ public class MarketDataBroadcaster { private ITopic clusterTopic; - // Statistics private long messagesSent = 0; private long lastStatsTime = System.currentTimeMillis(); @@ -111,7 +110,6 @@ private void broadcastLocal(String jsonMessage) { long startTime = System.currentTimeMillis(); int sessionCount = sessions.size(); - // Extract message type from JSON for JFR event String messageType = extractMessageType(jsonMessage); sessions.removeIf(session -> { @@ -129,7 +127,6 @@ private void broadcastLocal(String jsonMessage) { long latency = System.currentTimeMillis() - startTime; - // JFR event for WebSocket broadcast MarketDataEvents.WebSocketBroadcast wsEvent = new MarketDataEvents.WebSocketBroadcast(); if (wsEvent.isEnabled()) { wsEvent.clientCount = sessionCount; @@ -202,7 +199,7 @@ public int getSessionCount() { /** Log statistics periodically */ private void logStatistics() { long now = System.currentTimeMillis(); - if (now - lastStatsTime > 10000) { // Log every 10 seconds + if (now - lastStatsTime > 10000) { LOGGER.info(String.format("WebSocket Stats - Active sessions: %d, Messages sent: %,d (%.1f msg/sec)", sessions.size(), messagesSent, messagesSent / ((now - lastStatsTime) / 1000.0))); lastStatsTime = now; diff --git a/src/main/webapp/comparison.html b/src/main/webapp/comparison.html new file mode 100644 index 0000000..9416acc --- /dev/null +++ b/src/main/webapp/comparison.html @@ -0,0 +1,1126 @@ + + + + + + TradeStreamEE - C4 vs G1GC Comparison + + + + +
    +
    +
    +

    Comparison

    +

    C4 vs G1GC - Side-by-Side Performance

    +
    + +
    + +
    +
    +
    +
    + C4 Cluster (8080) +
    +
    +
    + G1 Cluster (9080) +
    +
    +
    + Connecting to both clusters... +
    +
    + +
    +
    +
    Demo Presets
    +
    + + + + +
    +
    +
    + +
    +
    Manual Scenario Control
    +
    + + + + +
    +
    +
    + +
    +
    +
    +
    + Azul C4 + Concurrent GC +
    +
    +
    +
    +
    P99 Pause
    +
    -
    +
    +
    +
    SLA Violations
    +
    -
    +
    +
    +
    Msg Rate
    +
    -
    +
    +
    +
    Heap Used
    +
    -
    +
    +
    +
    + +
    +
    + +
    +
    +
    + G1GC + Stop-the-World +
    +
    +
    +
    +
    P99 Pause
    +
    -
    +
    +
    +
    SLA Violations
    +
    -
    +
    +
    +
    Msg Rate
    +
    -
    +
    +
    +
    Heap Used
    +
    -
    +
    +
    +
    + +
    +
    +
    + +
    +
    Performance Comparison
    +
    +
    +
    P99 Pause Ratio
    +
    -
    +
    Waiting for data...
    +
    +
    +
    SLA Violation Delta
    +
    -
    +
    Waiting for data...
    +
    +
    +
    Pause Reduction
    +
    -
    +
    Lower is better
    +
    +
    +
    +
    + + + + diff --git a/src/main/webapp/health.html b/src/main/webapp/health.html new file mode 100644 index 0000000..8d6626e --- /dev/null +++ b/src/main/webapp/health.html @@ -0,0 +1,552 @@ + + + + + + TradeStreamEE - Pre-Demo Health Check + + + +
    +
    +
    +

    Pre-Demo Health Check

    +

    Verify all systems are operational before starting your demo

    +
    + +
    + +
    + + Checking system health... +
    + +
    +

    Local Instance Health

    +
    +
    + Message Publisher +
    + + Checking... +
    +
    +
    + GC Monitor +
    + + Checking... +
    +
    +
    + Memory Usage +
    + + Checking... +
    +
    +
    + +
    +
    +
    JVM Vendor
    +
    -
    +
    +
    +
    JVM
    +
    -
    +
    +
    +
    GC Collectors
    +
    -
    +
    +
    +
    Java Version
    +
    -
    +
    +
    +
    Available Processors
    +
    -
    +
    +
    +
    Memory Used
    +
    -
    +
    +
    +
    + +
    +

    Cluster Connectivity

    +
    +
    +
    + + C4 Cluster +
    +
    Checking...
    +
    +
    +
    + + G1 Cluster +
    +
    Checking...
    +
    +
    +
    + +
    + + +
    +
    + + + + diff --git a/src/main/webapp/index.html b/src/main/webapp/index.html index 55f554e..35f41ff 100644 --- a/src/main/webapp/index.html +++ b/src/main/webapp/index.html @@ -61,17 +61,149 @@ transition: background 0.3s; } - .nav-link { - color: #3b82f6; - text-decoration: none; - font-weight: 600; - font-size: 0.95em; - padding: 8px 16px; + header { + display: flex; + justify-content: space-between; + align-items: center; + padding: 20px 32px; + background: var(--bg-secondary); + border-radius: 8px; + margin-bottom: 16px; + } + + header h1 { + font-size: 1.75em; + font-weight: 800; + color: var(--text-primary); + } + + header .subtitle { + font-size: 0.9em; + color: var(--text-secondary); + margin-top: 4px; + } + + .main-nav { + display: flex; + align-items: center; + gap: 16px; + } + + .settings-group { + display: flex; + align-items: center; + gap: 8px; + } + + .settings-group button { + background: transparent; + border: 1px solid var(--border-color); + color: var(--text-secondary); + padding: 8px 12px; + border-radius: 6px; + cursor: pointer; + font-size: 0.9em; + transition: all 0.2s; + } + + .settings-group button:hover { + background: var(--bg-primary); + color: var(--text-primary); + border-color: var(--text-secondary); + } + + .polling-select select { + background: var(--bg-primary); + color: var(--text-primary); + border: 1px solid var(--border-color); + padding: 8px 10px; + border-radius: 6px; + font-size: 0.85em; + cursor: pointer; + } + + /* Dropdown menu */ + .dropdown { + position: relative; + } + + .dropdown-btn { + background: var(--bg-primary); + border: 1px solid var(--border-color); + color: var(--text-secondary); + padding: 10px 16px; border-radius: 6px; + cursor: pointer; + font-size: 0.9em; + font-weight: 500; + display: flex; + align-items: center; + gap: 6px; transition: all 0.2s; } - .nav-link:hover { + .dropdown-btn:hover { + background: var(--bg-secondary); + border-color: var(--text-secondary); + color: var(--text-primary); + } + + .dropdown-btn::after { + content: '▾'; + font-size: 0.8em; + } + + .dropdown-menu { + position: absolute; + top: calc(100% + 8px); + right: 0; + background: var(--bg-secondary); + border: 1px solid var(--border-color); + border-radius: 8px; + box-shadow: 0 4px 12px var(--shadow); + min-width: 180px; + opacity: 0; + visibility: hidden; + transform: translateY(-8px); + transition: all 0.2s ease; + z-index: 100; + } + + .dropdown.open .dropdown-menu { + opacity: 1; + visibility: visible; + transform: translateY(0); + } + + .dropdown-menu a { + display: block; + padding: 10px 16px; + color: var(--text-secondary); + text-decoration: none; + font-size: 0.9em; + transition: all 0.15s; + } + + .dropdown-menu a:first-child { + border-radius: 8px 8px 0 0; + } + + .dropdown-menu a:last-child { + border-radius: 0 0 8px 8px; + } + + .dropdown-menu a:hover { + background: var(--bg-primary); + color: var(--text-primary); + } + + .dropdown-divider { + height: 1px; + background: var(--border-color); + margin: 4px 0; + } + + .nav-link { background: #eff6ff; color: #1d4ed8; } @@ -1103,6 +1235,57 @@ font-size: 1em; font-weight: 700; } + + /* Projector Mode */ + body.projector-mode { + font-size: 18px; + } + + body.projector-mode h1 { + font-size: 3em; + } + + body.projector-mode .subtitle { + font-size: 1.1em; + } + + body.projector-mode .stat-value { + font-size: 2.5em; + } + + body.projector-mode .stat-label { + font-size: 0.9em; + } + + body.projector-mode .pressure-btn { + font-size: 1em; + padding: 14px 20px; + } + + body.projector-mode .nav-link { + font-size: 1em; + padding: 10px 18px; + } + + /* High contrast for projectors */ + body.projector-mode .stat-value.good { + color: #059669; + font-weight: 800; + } + + body.projector-mode .stat-value.danger { + color: #dc2626; + font-weight: 800; + } + + body.projector-mode .stat-value.warning { + color: #d97706; + font-weight: 800; + } + + body.projector-mode #projector-btn { + background: linear-gradient(135deg, #dc2626 0%, #b91c1c 100%); + } @@ -1111,31 +1294,33 @@

    TradeStreamEE

    -

    High-Frequency Trading Dashboard • Aeron + SBE + Payara Micro + Azul Platform Prime

    -

    -
    -
    - - - - - - Read Blog +

    High-Frequency Trading Dashboard • Aeron + SBE + Payara Micro

    +
    @@ -2118,6 +2303,43 @@

    JFR Recordings

    } } + function toggleProjectorMode() { + const body = document.body; + const btn = document.getElementById('projector-btn'); + const isProjector = body.classList.toggle('projector-mode'); + + btn.textContent = isProjector ? '🖥️ Normal' : '🎯 Projector'; + btn.style.background = isProjector + ? 'linear-gradient(135deg, #dc2626 0%, #b91c1c 100%)' + : 'linear-gradient(135deg, #64748b 0%, #475569 100%)'; + + localStorage.setItem('projectorMode', isProjector); + } + + function toggleDropdown() { + const dropdown = document.getElementById('nav-dropdown'); + dropdown.classList.toggle('open'); + } + + function closeDropdownWhenClickingOutside(event) { + const dropdown = document.getElementById('nav-dropdown'); + if (!dropdown.contains(event.target)) { + dropdown.classList.remove('open'); + } + } + + document.addEventListener('click', closeDropdownWhenClickingOutside); + + function initProjectorMode() { + const savedProjectorMode = localStorage.getItem('projectorMode') === 'true'; + if (savedProjectorMode) { + document.body.classList.add('projector-mode'); + document.getElementById('projector-btn').textContent = '🖥️ Normal'; + document.getElementById('projector-btn').style.background = + 'linear-gradient(135deg, #dc2626 0%, #b91c1c 100%)'; + } + } + function updateFavicon(status) { const canvas = document.createElement('canvas'); canvas.width = 32; @@ -2707,6 +2929,7 @@

    JFR Recordings

    window.addEventListener('load', () => { initDarkMode(); + initProjectorMode(); initPollingInterval(); initCharts(); pollInstanceStatus(); From adce97386eeed700e6df8c5657900ad354d10785 Mon Sep 17 00:00:00 2001 From: Luqman Saeed Date: Thu, 22 Jan 2026 19:15:11 +0000 Subject: [PATCH 14/33] Add check for cluster --- Dockerfile | 14 +- Dockerfile.scale | 4 +- Dockerfile.scale.standard | 4 +- Dockerfile.standard | 4 +- docker-compose-g1.yml | 12 +- docker-entrypoint.sh | 29 ++++ .../payara/trader/demo/DemoPresetService.java | 8 +- .../fish/payara/trader/rest/CorsFilter.java | 3 - .../payara/trader/rest/HealthResource.java | 7 + src/main/webapp/comparison.html | 148 +++++++++++++++++- 10 files changed, 212 insertions(+), 21 deletions(-) create mode 100644 docker-entrypoint.sh diff --git a/Dockerfile b/Dockerfile index 3204646..b10df93 100644 --- a/Dockerfile +++ b/Dockerfile @@ -33,6 +33,10 @@ ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/pay # Copy WAR file from build stage COPY --from=build /app/target/*.war ROOT.war +# Copy entrypoint script for JFR configuration +COPY docker-entrypoint.sh /usr/local/bin/ +RUN chmod +x /usr/local/bin/docker-entrypoint.sh + # Create recordings directory for JFR output RUN mkdir -p /opt/payara/recordings && chmod 777 /opt/payara/recordings @@ -47,7 +51,7 @@ EXPOSE 8080 # # Azul Platform Prime uses C4 GC by default - no need to specify -XX:+UseZGC # -# JFR is enabled by default - disable via JFR_ENABLED=false environment variable +# JFR is enabled by default - entrypoint script handles JFR_ENABLED environment variable ENV JAVA_OPTS="-Xms8g \ -Xmx8g \ -Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ @@ -59,13 +63,17 @@ ENV JAVA_OPTS="-Xms8g \ -XX:+UseStringDeduplication \ -XX:+OptimizeStringConcat \ -Djava.net.preferIPv4Stack=true \ - -XX:StartFlightRecording=\${JFR_ENABLED:-name=production,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g} \ - -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 \ -Xlog:jfr*=info" +# Set recording name for JFR +ENV RECORDING_NAME="production" + # Health check HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \ CMD curl -f http://localhost:8080/trader-stream-ee/api/status || exit 1 +# Use entrypoint to handle JFR configuration +ENTRYPOINT ["/usr/local/bin/docker-entrypoint.sh"] + # Run Payara Micro with the WAR CMD java ${JAVA_OPTS} -jar payara-micro.jar --deploy ROOT.war --contextroot trader-stream-ee --nohazelcast diff --git a/Dockerfile.scale b/Dockerfile.scale index 01b140e..5904b20 100644 --- a/Dockerfile.scale +++ b/Dockerfile.scale @@ -60,8 +60,8 @@ ENV JAVA_OPTS="-Xms4g \ -XX:+UseStringDeduplication \ -XX:+OptimizeStringConcat \ -Djava.net.preferIPv4Stack=true \ - -XX:StartFlightRecording=\${JFR_ENABLED:-name=c4-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g} \ - -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 \ + -XX:StartFlightRecording=\${JFR_ENABLED:-name=c4-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal} \ + -XX:FlightRecorderOptions=stackdepth=256 \ -Xlog:jfr*=info" # Health check diff --git a/Dockerfile.scale.standard b/Dockerfile.scale.standard index 5827bd9..793d764 100644 --- a/Dockerfile.scale.standard +++ b/Dockerfile.scale.standard @@ -63,8 +63,8 @@ ENV JAVA_OPTS="-Xms4g \ -XX:+UseStringDeduplication \ -XX:+OptimizeStringConcat \ -Djava.net.preferIPv4Stack=true \ - -XX:StartFlightRecording=\${JFR_ENABLED:-name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g} \ - -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 \ + -XX:StartFlightRecording=\${JFR_ENABLED:-name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal} \ + -XX:FlightRecorderOptions=stackdepth=256 \ -Xlog:jfr*=info" # Health check diff --git a/Dockerfile.standard b/Dockerfile.standard index 6ba826b..c5e0377 100644 --- a/Dockerfile.standard +++ b/Dockerfile.standard @@ -61,8 +61,8 @@ ENV JAVA_OPTS="-Xms8g \ -XX:+UseStringDeduplication \ -XX:+OptimizeStringConcat \ -Djava.net.preferIPv4Stack=true \ - -XX:StartFlightRecording=\${JFR_ENABLED:-name=g1-baseline,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g} \ - -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 \ + -XX:StartFlightRecording=\${JFR_ENABLED:-name=g1-baseline,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal} \ + -XX:FlightRecorderOptions=stackdepth=256 \ -Xlog:jfr*=info" # Health check diff --git a/docker-compose-g1.yml b/docker-compose-g1.yml index 244f43d..59aaa29 100644 --- a/docker-compose-g1.yml +++ b/docker-compose-g1.yml @@ -63,8 +63,8 @@ services: -XX:+OptimizeStringConcat -XX:+UseContainerSupport -XX:MaxRAMPercentage=75.0 - -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g - -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 + -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal + -XX:FlightRecorderOptions=stackdepth=256 -Xlog:jfr*=info -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml -Djava.net.preferIPv4Stack=true @@ -115,8 +115,8 @@ services: -XX:+OptimizeStringConcat -XX:+UseContainerSupport -XX:MaxRAMPercentage=75.0 - -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g - -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 + -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal + -XX:FlightRecorderOptions=stackdepth=256 -Xlog:jfr*=info -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml -Djava.net.preferIPv4Stack=true @@ -167,8 +167,8 @@ services: -XX:+OptimizeStringConcat -XX:+UseContainerSupport -XX:MaxRAMPercentage=75.0 - -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g - -XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 + -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal + -XX:FlightRecorderOptions=stackdepth=256 -Xlog:jfr*=info -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml -Djava.net.preferIPv4Stack=true diff --git a/docker-entrypoint.sh b/docker-entrypoint.sh new file mode 100644 index 0000000..a62fea6 --- /dev/null +++ b/docker-entrypoint.sh @@ -0,0 +1,29 @@ +#!/bin/bash +set -e + +# Default JVM options (without JFR) +DEFAULT_OPTS="-Xms8g -Xmx8g \ +-Xlog:gc*:file=/opt/payara/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ +-XX:+UnlockDiagnosticVMOptions -XX:+UnlockExperimentalVMOptions \ +-XX:+AlwaysPreTouch -XX:+UseTransparentHugePages \ +-XX:-UseBiasedLocking -XX:+UseStringDeduplication \ +-XX:+OptimizeStringConcat \ +-Djava.net.preferIPv4Stack=true \ +-Xlog:jfr*=info" + +# Recording name (can be overridden by ENV) +RECORDING_NAME="${RECORDING_NAME:-production}" + +# Build JAVA_OPTS based on JFR_ENABLED setting +if [ "${JFR_ENABLED}" = "false" ]; then + # JFR disabled - use default options only + export JAVA_OPTS="${DEFAULT_OPTS}" +else + # JFR enabled - add JFR options + export JAVA_OPTS="${DEFAULT_OPTS} \ +-XX:StartFlightRecording=name=${RECORDING_NAME},filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal \ +-XX:FlightRecorderOptions=stackdepth=256" +fi + +# Execute the CMD +exec "$@" diff --git a/src/main/java/fish/payara/trader/demo/DemoPresetService.java b/src/main/java/fish/payara/trader/demo/DemoPresetService.java index 794ffa1..65c2b48 100644 --- a/src/main/java/fish/payara/trader/demo/DemoPresetService.java +++ b/src/main/java/fish/payara/trader/demo/DemoPresetService.java @@ -13,6 +13,7 @@ import java.util.HashMap; import java.util.List; import java.util.Map; +import java.util.UUID; import java.util.logging.Logger; import java.util.stream.IntStream; @@ -35,7 +36,10 @@ public class DemoPresetService { private HazelcastInstance hazelcastInstance; private Map getActiveExecutions() { - return hazelcastInstance.getMap(EXECUTIONS_MAP_NAME); + if(hazelcastInstance != null) { + return hazelcastInstance.getMap(EXECUTIONS_MAP_NAME); + } + return Map.of(); } /** @@ -62,7 +66,7 @@ public PresetExecutionContext initializeExecution(String presetId) { return null; } - String executionId = java.util.UUID.randomUUID().toString(); + String executionId = UUID.randomUUID().toString(); PresetExecutionContext context = new PresetExecutionContext(executionId, presetId, preset, System.currentTimeMillis()); getActiveExecutions().put(executionId, context); diff --git a/src/main/java/fish/payara/trader/rest/CorsFilter.java b/src/main/java/fish/payara/trader/rest/CorsFilter.java index c58e5ec..8279868 100644 --- a/src/main/java/fish/payara/trader/rest/CorsFilter.java +++ b/src/main/java/fish/payara/trader/rest/CorsFilter.java @@ -7,9 +7,6 @@ /** * CORS filter for cross-origin requests during comparison demo. Allows frontend on one port to fetch data from the other cluster. - * - *

    - * Registered automatically via {@code @Provider} annotation for JAX-RS resources. */ @Provider public class CorsFilter implements ContainerResponseFilter { diff --git a/src/main/java/fish/payara/trader/rest/HealthResource.java b/src/main/java/fish/payara/trader/rest/HealthResource.java index dedd849..9b4da01 100644 --- a/src/main/java/fish/payara/trader/rest/HealthResource.java +++ b/src/main/java/fish/payara/trader/rest/HealthResource.java @@ -1,5 +1,6 @@ package fish.payara.trader.rest; +import com.hazelcast.core.HazelcastInstance; import fish.payara.trader.aeron.MarketDataPublisher; import fish.payara.trader.monitoring.GCPauseMonitor; import fish.payara.trader.util.InstanceUtils; @@ -29,6 +30,9 @@ public class HealthResource { @Inject private GCPauseMonitor gcPauseMonitor; + @Inject + private HazelcastInstance hazelcastInstance; + @GET @Path("/check") @Produces(MediaType.APPLICATION_JSON) @@ -68,6 +72,9 @@ public Response healthCheck() { health.put("gcCollectors", jvm.gcCollectors()); health.put("javaVersion", System.getProperty("java.version")); + boolean clusterMode = hazelcastInstance != null && hazelcastInstance.getCluster().getMembers().size() > 1; + health.put("clusterMode", clusterMode); + health.put("status", allHealthy ? "healthy" : "unhealthy"); health.put("readyForDemo", allHealthy); diff --git a/src/main/webapp/comparison.html b/src/main/webapp/comparison.html index 9416acc..b91cb85 100644 --- a/src/main/webapp/comparison.html +++ b/src/main/webapp/comparison.html @@ -507,6 +507,63 @@ 100% { transform: rotate(360deg); } } + /* Cluster Mode Warning */ + .cluster-warning { + background: var(--bg-secondary); + padding: 32px; + border-radius: 8px; + box-shadow: 0 2px 4px var(--shadow); + text-align: center; + max-width: 600px; + margin: 40px auto; + } + + .cluster-warning-icon { + font-size: 3em; + margin-bottom: 16px; + } + + .cluster-warning-title { + font-size: 1.5em; + font-weight: 700; + margin-bottom: 12px; + } + + .cluster-warning-text { + color: var(--text-secondary); + margin-bottom: 20px; + line-height: 1.6; + } + + .cluster-warning-steps { + text-align: left; + background: var(--bg-primary); + padding: 20px; + border-radius: 6px; + margin-bottom: 20px; + } + + .cluster-warning-steps code { + background: var(--bg-secondary); + padding: 2px 6px; + border-radius: 4px; + font-size: 0.9em; + } + + .cluster-warning-steps ol { + margin: 0; + padding-left: 20px; + } + + .cluster-warning-steps li { + margin-bottom: 8px; + } + + /* Utility class to hide elements */ + .hidden { + display: none !important; + } + /* Responsive */ @media (max-width: 1024px) { .comparison-grid { @@ -694,6 +751,27 @@

    Comparison

    + +
    - From 47ef99ec4ba58c3c5f646b02817d9472b51d46b2 Mon Sep 17 00:00:00 2001 From: Luqman Saeed Date: Tue, 17 Mar 2026 13:26:56 +0000 Subject: [PATCH 17/33] Fix notes display --- src/main/webapp/presentation.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/main/webapp/presentation.html b/src/main/webapp/presentation.html index d667317..45fb1ad 100644 --- a/src/main/webapp/presentation.html +++ b/src/main/webapp/presentation.html @@ -2548,7 +2548,7 @@

    Questions?

    margin: 0.1, minScale: 0.2, maxScale: 2.0, - showNotes: true + showNotes: false }); From 9f22fd8d33759fe19a276c748603a94232a65937 Mon Sep 17 00:00:00 2001 From: Luqman Saeed Date: Wed, 18 Mar 2026 13:54:46 +0000 Subject: [PATCH 18/33] Increase method count via ta4J library --- .env.example | 2 +- Dockerfile | 2 +- Dockerfile.scale | 2 +- Dockerfile.scale.standard | 2 +- Dockerfile.standard | 2 +- docker-compose-c4.yml | 2 +- docker-compose-g1.yml | 2 +- docker-compose-scale.yml | 8 +- docker-compose-standard.yml | 2 +- docker-compose.yml | 2 +- pom.xml | 5 + .../payara/trader/analysis/BarAggregator.java | 206 +++ .../trader/analysis/IndicatorConfig.java | 108 ++ .../trader/analysis/IndicatorService.java | 149 ++ .../analysis/model/IndicatorSnapshot.java | 16 + .../payara/trader/demo/DemoPresetService.java | 2 +- .../payara/trader/dto/IndicatorResponse.java | 29 + .../payara/trader/dto/PortfolioResponse.java | 11 + .../trader/dto/PressureStatusResponse.java | 4 +- .../fish/payara/trader/dto/RiskResponse.java | 14 + .../payara/trader/dto/TradingRiskMetrics.java | 14 + .../trader/matching/book/CancelResult.java | 22 + .../trader/matching/book/OrderBook.java | 36 + .../matching/book/OrderBookFactory.java | 24 + .../matching/book/PriceTimeOrderBook.java | 308 +++++ .../matching/config/MatchingConfig.java | 41 + .../matching/engine/IcebergOrderHandler.java | 54 + .../matching/engine/MatchingEngine.java | 288 ++++ .../matching/engine/MatchingStrategy.java | 12 + .../engine/PriceTimePriorityMatcher.java | 20 + .../matching/engine/StopOrderTracker.java | 118 ++ .../exception/OrderNotFoundException.java | 16 + .../exception/OrderRejectedException.java | 15 + .../exception/OrderValidationException.java | 15 + .../matching/history/ExecutionHistory.java | 107 ++ .../history/ExecutionHistoryQuery.java | 22 + .../trader/matching/jfr/MatchingEvents.java | 57 + .../trader/matching/model/Execution.java | 20 + .../payara/trader/matching/model/Order.java | 23 + .../trader/matching/model/OrderBookEntry.java | 14 + .../trader/matching/model/OrderBookLevel.java | 21 + .../matching/model/OrderBookSnapshot.java | 34 + .../trader/matching/model/OrderRequest.java | 5 + .../trader/matching/model/OrderStatus.java | 5 + .../trader/matching/model/OrderType.java | 5 + .../trader/matching/model/Position.java | 25 + .../payara/trader/matching/model/Price.java | 50 + .../payara/trader/matching/model/Side.java | 23 + .../trader/matching/model/TimeInForce.java | 5 + .../matching/position/PnlCalculator.java | 68 + .../matching/position/PositionService.java | 94 ++ .../websocket/ExecutionBroadcaster.java | 108 ++ .../trader/portfolio/PortfolioService.java | 268 ++++ .../portfolio/model/PerformanceMetrics.java | 8 + .../portfolio/model/PortfolioSnapshot.java | 8 + .../trader/portfolio/model/RebalancePlan.java | 9 + .../trader/pressure/AllocationMode.java | 39 +- .../pressure/MemoryPressureService.java | 51 + .../fish/payara/trader/pressure/Workload.java | 13 + .../trader/pressure/WorkloadConfig.java | 20 + .../trader/pressure/WorkloadResult.java | 11 + .../payara/trader/pressure/WorkloadType.java | 5 + .../workload/AbstractCpuWorkload.java | 58 + .../pressure/workload/CollectionWorkload.java | 92 ++ .../workload/CompressionWorkload.java | 84 ++ .../pressure/workload/CryptoWorkload.java | 107 ++ .../workload/SerializationWorkload.java | 113 ++ .../pressure/workload/StringWorkload.java | 130 ++ .../workload/TechnicalAnalysisWorkload.java | 158 +++ .../workload/TradingMatchingWorkload.java | 82 ++ .../payara/trader/rest/ExecutionResource.java | 29 + .../payara/trader/rest/IndicatorResource.java | 46 + .../trader/rest/MatchingPositionResource.java | 38 + .../payara/trader/rest/OrderBookResource.java | 33 + .../payara/trader/rest/OrderResource.java | 71 + .../payara/trader/rest/PortfolioResource.java | 70 + .../fish/payara/trader/rest/RiskResource.java | 137 ++ .../payara/trader/risk/PositionTracker.java | 133 ++ .../fish/payara/trader/risk/RiskConfig.java | 60 + .../fish/payara/trader/risk/RiskEngine.java | 284 ++++ .../trader/risk/model/ExposureSummary.java | 7 + .../payara/trader/risk/model/Position.java | 38 + .../trader/risk/model/RiskSnapshot.java | 8 + .../trader/risk/model/StressResult.java | 9 + .../trader/risk/model/StressScenario.java | 83 ++ .../payara/trader/risk/model/VarResult.java | 7 + .../trader/websocket/ExecutionWebSocket.java | 45 + .../trader/websocket/IndicatorWebSocket.java | 44 + src/main/resources/sbe/market-data.xml | 354 +++++ src/main/webapp/blog.html | 65 +- src/main/webapp/comparison.html | 28 +- src/main/webapp/health.html | 2 + src/main/webapp/help.html | 1195 +++++++++++++++++ src/main/webapp/index.html | 221 +-- src/main/webapp/presentation.html | 209 ++- src/main/webapp/pressure-modes.js | 226 ++++ src/main/webapp/trading.html | 621 +++++++++ src/main/webapp/trading.js | 562 ++++++++ 98 files changed, 7894 insertions(+), 226 deletions(-) create mode 100644 src/main/java/fish/payara/trader/analysis/BarAggregator.java create mode 100644 src/main/java/fish/payara/trader/analysis/IndicatorConfig.java create mode 100644 src/main/java/fish/payara/trader/analysis/IndicatorService.java create mode 100644 src/main/java/fish/payara/trader/analysis/model/IndicatorSnapshot.java create mode 100644 src/main/java/fish/payara/trader/dto/IndicatorResponse.java create mode 100644 src/main/java/fish/payara/trader/dto/PortfolioResponse.java create mode 100644 src/main/java/fish/payara/trader/dto/RiskResponse.java create mode 100644 src/main/java/fish/payara/trader/dto/TradingRiskMetrics.java create mode 100644 src/main/java/fish/payara/trader/matching/book/CancelResult.java create mode 100644 src/main/java/fish/payara/trader/matching/book/OrderBook.java create mode 100644 src/main/java/fish/payara/trader/matching/book/OrderBookFactory.java create mode 100644 src/main/java/fish/payara/trader/matching/book/PriceTimeOrderBook.java create mode 100644 src/main/java/fish/payara/trader/matching/config/MatchingConfig.java create mode 100644 src/main/java/fish/payara/trader/matching/engine/IcebergOrderHandler.java create mode 100644 src/main/java/fish/payara/trader/matching/engine/MatchingEngine.java create mode 100644 src/main/java/fish/payara/trader/matching/engine/MatchingStrategy.java create mode 100644 src/main/java/fish/payara/trader/matching/engine/PriceTimePriorityMatcher.java create mode 100644 src/main/java/fish/payara/trader/matching/engine/StopOrderTracker.java create mode 100644 src/main/java/fish/payara/trader/matching/exception/OrderNotFoundException.java create mode 100644 src/main/java/fish/payara/trader/matching/exception/OrderRejectedException.java create mode 100644 src/main/java/fish/payara/trader/matching/exception/OrderValidationException.java create mode 100644 src/main/java/fish/payara/trader/matching/history/ExecutionHistory.java create mode 100644 src/main/java/fish/payara/trader/matching/history/ExecutionHistoryQuery.java create mode 100644 src/main/java/fish/payara/trader/matching/jfr/MatchingEvents.java create mode 100644 src/main/java/fish/payara/trader/matching/model/Execution.java create mode 100644 src/main/java/fish/payara/trader/matching/model/Order.java create mode 100644 src/main/java/fish/payara/trader/matching/model/OrderBookEntry.java create mode 100644 src/main/java/fish/payara/trader/matching/model/OrderBookLevel.java create mode 100644 src/main/java/fish/payara/trader/matching/model/OrderBookSnapshot.java create mode 100644 src/main/java/fish/payara/trader/matching/model/OrderRequest.java create mode 100644 src/main/java/fish/payara/trader/matching/model/OrderStatus.java create mode 100644 src/main/java/fish/payara/trader/matching/model/OrderType.java create mode 100644 src/main/java/fish/payara/trader/matching/model/Position.java create mode 100644 src/main/java/fish/payara/trader/matching/model/Price.java create mode 100644 src/main/java/fish/payara/trader/matching/model/Side.java create mode 100644 src/main/java/fish/payara/trader/matching/model/TimeInForce.java create mode 100644 src/main/java/fish/payara/trader/matching/position/PnlCalculator.java create mode 100644 src/main/java/fish/payara/trader/matching/position/PositionService.java create mode 100644 src/main/java/fish/payara/trader/matching/websocket/ExecutionBroadcaster.java create mode 100644 src/main/java/fish/payara/trader/portfolio/PortfolioService.java create mode 100644 src/main/java/fish/payara/trader/portfolio/model/PerformanceMetrics.java create mode 100644 src/main/java/fish/payara/trader/portfolio/model/PortfolioSnapshot.java create mode 100644 src/main/java/fish/payara/trader/portfolio/model/RebalancePlan.java create mode 100644 src/main/java/fish/payara/trader/pressure/Workload.java create mode 100644 src/main/java/fish/payara/trader/pressure/WorkloadConfig.java create mode 100644 src/main/java/fish/payara/trader/pressure/WorkloadResult.java create mode 100644 src/main/java/fish/payara/trader/pressure/WorkloadType.java create mode 100644 src/main/java/fish/payara/trader/pressure/workload/AbstractCpuWorkload.java create mode 100644 src/main/java/fish/payara/trader/pressure/workload/CollectionWorkload.java create mode 100644 src/main/java/fish/payara/trader/pressure/workload/CompressionWorkload.java create mode 100644 src/main/java/fish/payara/trader/pressure/workload/CryptoWorkload.java create mode 100644 src/main/java/fish/payara/trader/pressure/workload/SerializationWorkload.java create mode 100644 src/main/java/fish/payara/trader/pressure/workload/StringWorkload.java create mode 100644 src/main/java/fish/payara/trader/pressure/workload/TechnicalAnalysisWorkload.java create mode 100644 src/main/java/fish/payara/trader/pressure/workload/TradingMatchingWorkload.java create mode 100644 src/main/java/fish/payara/trader/rest/ExecutionResource.java create mode 100644 src/main/java/fish/payara/trader/rest/IndicatorResource.java create mode 100644 src/main/java/fish/payara/trader/rest/MatchingPositionResource.java create mode 100644 src/main/java/fish/payara/trader/rest/OrderBookResource.java create mode 100644 src/main/java/fish/payara/trader/rest/OrderResource.java create mode 100644 src/main/java/fish/payara/trader/rest/PortfolioResource.java create mode 100644 src/main/java/fish/payara/trader/rest/RiskResource.java create mode 100644 src/main/java/fish/payara/trader/risk/PositionTracker.java create mode 100644 src/main/java/fish/payara/trader/risk/RiskConfig.java create mode 100644 src/main/java/fish/payara/trader/risk/RiskEngine.java create mode 100644 src/main/java/fish/payara/trader/risk/model/ExposureSummary.java create mode 100644 src/main/java/fish/payara/trader/risk/model/Position.java create mode 100644 src/main/java/fish/payara/trader/risk/model/RiskSnapshot.java create mode 100644 src/main/java/fish/payara/trader/risk/model/StressResult.java create mode 100644 src/main/java/fish/payara/trader/risk/model/StressScenario.java create mode 100644 src/main/java/fish/payara/trader/risk/model/VarResult.java create mode 100644 src/main/java/fish/payara/trader/websocket/ExecutionWebSocket.java create mode 100644 src/main/java/fish/payara/trader/websocket/IndicatorWebSocket.java create mode 100644 src/main/webapp/help.html create mode 100644 src/main/webapp/pressure-modes.js create mode 100644 src/main/webapp/trading.html create mode 100644 src/main/webapp/trading.js diff --git a/.env.example b/.env.example index 0f9c687..247f99f 100644 --- a/.env.example +++ b/.env.example @@ -1,7 +1,7 @@ # TradeStreamEE Environment Variables # Payara Micro Version (used by all Dockerfiles) -PAYARA_VERSION=7.2026.2 +PAYARA_VERSION=7.2026.3 # JVM Options for Azul Platform Prime # Adjust these for your performance requirements diff --git a/Dockerfile b/Dockerfile index 9ca8faf..8a1eff4 100644 --- a/Dockerfile +++ b/Dockerfile @@ -27,7 +27,7 @@ LABEL description="High-frequency trading dashboard with Aeron + SBE + Payara Mi WORKDIR /opt/payara # Add Payara Micro from URL -ARG PAYARA_VERSION=7.2026.2 +ARG PAYARA_VERSION=7.2026.3 ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/payara-micro/${PAYARA_VERSION}/payara-micro-${PAYARA_VERSION}.jar /opt/payara/payara-micro.jar # Copy WAR file from build stage diff --git a/Dockerfile.scale b/Dockerfile.scale index db0b728..d5cb891 100644 --- a/Dockerfile.scale +++ b/Dockerfile.scale @@ -27,7 +27,7 @@ LABEL description="High-frequency trading dashboard with Aeron + SBE + Payara Mi WORKDIR /opt/payara # Add Payara Micro from URL -ARG PAYARA_VERSION=7.2026.2 +ARG PAYARA_VERSION=7.2026.3 ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/payara-micro/${PAYARA_VERSION}/payara-micro-${PAYARA_VERSION}.jar /opt/payara/payara-micro.jar # Copy WAR file from build stage diff --git a/Dockerfile.scale.standard b/Dockerfile.scale.standard index 389c789..d47e17a 100644 --- a/Dockerfile.scale.standard +++ b/Dockerfile.scale.standard @@ -27,7 +27,7 @@ LABEL description="High-frequency trading dashboard with Hazelcast Clustering (S WORKDIR /opt/payara # Add Payara Micro from URL -ARG PAYARA_VERSION=7.2026.2 +ARG PAYARA_VERSION=7.2026.3 ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/payara-micro/${PAYARA_VERSION}/payara-micro-${PAYARA_VERSION}.jar /opt/payara/payara-micro.jar # Copy WAR file from build stage diff --git a/Dockerfile.standard b/Dockerfile.standard index 920b9ad..f858b9d 100644 --- a/Dockerfile.standard +++ b/Dockerfile.standard @@ -27,7 +27,7 @@ LABEL description="High-frequency trading dashboard (Standard JVM Comparison)" WORKDIR /opt/payara # Add Payara Micro from URL -ARG PAYARA_VERSION=7.2026.2 +ARG PAYARA_VERSION=7.2026.3 ADD https://nexus.payara.fish/repository/payara-community/fish/payara/extras/payara-micro/${PAYARA_VERSION}/payara-micro-${PAYARA_VERSION}.jar /opt/payara/payara-micro.jar # Copy WAR file from build stage diff --git a/docker-compose-c4.yml b/docker-compose-c4.yml index 234c0e6..1879984 100644 --- a/docker-compose-c4.yml +++ b/docker-compose-c4.yml @@ -35,7 +35,7 @@ services: context: . dockerfile: Dockerfile.scale args: - PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.2} + PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.3} container_name: trader-stream-c4-1 hostname: trader-stream-c4-1 ports: diff --git a/docker-compose-g1.yml b/docker-compose-g1.yml index 71a96ed..4daf1c4 100644 --- a/docker-compose-g1.yml +++ b/docker-compose-g1.yml @@ -35,7 +35,7 @@ services: context: . dockerfile: Dockerfile.scale.standard args: - PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.2} + PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.3} container_name: trader-stream-g1-1 hostname: trader-stream-g1-1 ports: diff --git a/docker-compose-scale.yml b/docker-compose-scale.yml index 7e3092a..1d0bc80 100644 --- a/docker-compose-scale.yml +++ b/docker-compose-scale.yml @@ -42,7 +42,7 @@ services: context: . dockerfile: ${DOCKERFILE:-Dockerfile.scale} args: - PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.2} + PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.3} container_name: trader-stream-1 hostname: trader-stream-1 ports: @@ -84,7 +84,7 @@ services: context: . dockerfile: ${DOCKERFILE:-Dockerfile.scale} args: - PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.2} + PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.3} container_name: trader-stream-2 hostname: trader-stream-2 ports: @@ -126,7 +126,7 @@ services: context: . dockerfile: ${DOCKERFILE:-Dockerfile.scale} args: - PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.2} + PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.3} container_name: trader-stream-3 hostname: trader-stream-3 ports: @@ -169,7 +169,7 @@ services: context: . dockerfile: ${DOCKERFILE:-Dockerfile.scale} args: - PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.2} + PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.3} # Note: No container_name or hostname - allows multiple instances expose: - "8080" diff --git a/docker-compose-standard.yml b/docker-compose-standard.yml index 10b7ed1..a62da39 100644 --- a/docker-compose-standard.yml +++ b/docker-compose-standard.yml @@ -5,7 +5,7 @@ services: context: . dockerfile: Dockerfile.standard args: - PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.2} + PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.3} container_name: trader-stream-ee ports: - "8080:8080" diff --git a/docker-compose.yml b/docker-compose.yml index 58b16f7..de1c694 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -5,7 +5,7 @@ services: context: . dockerfile: Dockerfile args: - PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.2} + PAYARA_VERSION: ${PAYARA_VERSION:-7.2026.3} container_name: trader-stream-ee ports: - "8080:8080" diff --git a/pom.xml b/pom.xml index 936d85b..8369e62 100644 --- a/pom.xml +++ b/pom.xml @@ -73,6 +73,11 @@ snakeyaml-engine 2.7 + + org.ta4j + ta4j-core + 0.22.4 + diff --git a/src/main/java/fish/payara/trader/analysis/BarAggregator.java b/src/main/java/fish/payara/trader/analysis/BarAggregator.java new file mode 100644 index 0000000..cfcb014 --- /dev/null +++ b/src/main/java/fish/payara/trader/analysis/BarAggregator.java @@ -0,0 +1,206 @@ +package fish.payara.trader.analysis; + +import fish.payara.trader.concurrency.VirtualThreadExecutor; +import jakarta.annotation.PostConstruct; +import jakarta.annotation.PreDestroy; +import jakarta.enterprise.concurrent.ManagedExecutorService; +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import java.time.Duration; +import java.time.Instant; +import java.util.Optional; +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.Future; +import java.util.concurrent.ScheduledExecutorService; +import java.util.concurrent.Executors; +import java.util.concurrent.TimeUnit; +import java.util.logging.Level; +import java.util.logging.Logger; +import org.ta4j.core.Bar; +import org.ta4j.core.BarSeries; +import org.ta4j.core.BaseBarSeriesBuilder; +import org.ta4j.core.bars.TimeBarBuilder; + +/** + * Aggregates raw ticks (trades and quotes) into OHLCV bars for ta4j. One series per symbol, capped at maxBars. A background task closes completed bars and + * opens new ones on the configured interval. + */ +@ApplicationScoped +public class BarAggregator { + + private static final Logger LOGGER = Logger.getLogger(BarAggregator.class.getName()); + + private final ConcurrentHashMap series = new ConcurrentHashMap<>(); + + private record MutableBar(double open, double high, double low, double close, double volume, Instant endTime) { + } + + private final ConcurrentHashMap mutableBars = new ConcurrentHashMap<>(); + + @Inject + private IndicatorConfig config; + + @Inject + @VirtualThreadExecutor + private ManagedExecutorService executorService; + + private ScheduledExecutorService barScheduler; + private Future barTask; + + @PostConstruct + public void init() { + barScheduler = Executors.newSingleThreadScheduledExecutor(r -> { + Thread t = new Thread(r, "bar-aggregator"); + t.setDaemon(true); + return t; + }); + + long intervalMs = config.barDurationSeconds() * 1000L; + barTask = barScheduler.scheduleAtFixedRate(this::closeAllBars, intervalMs, intervalMs, TimeUnit.MILLISECONDS); + LOGGER.info("BarAggregator initialized with %d-second bars, max %d bars".formatted(config.barDurationSeconds(), config.maxBars())); + } + + @PreDestroy + public void shutdown() { + if (barTask != null) { + barTask.cancel(false); + } + if (barScheduler != null) { + barScheduler.shutdown(); + } + } + + /** + * Feed a trade into the current bar for the given symbol. + */ + public void onTrade(String symbol, double price, long quantity, long timestamp) { + executorService.submit(() -> updateBar(symbol, price, quantity, timestamp)); + } + + /** + * Feed a quote (bid/ask) into the current bar using the mid-price. + */ + public void onQuote(String symbol, double bidPrice, double askPrice, long timestamp) { + executorService.submit(() -> { + double midPrice = (bidPrice + askPrice) / 2.0; + updateBar(symbol, midPrice, 0, timestamp); + }); + } + + private void updateBar(String symbol, double price, long quantity, long timestamp) { + Instant endTime = Instant.ofEpochMilli(timestamp); + + MutableBar current = mutableBars.compute(symbol, (key, existing) -> { + if (existing == null) { + getOrCreateSeries(symbol); + Instant barEnd = alignToEndOfBar(endTime, config.barDurationSeconds()); + return new MutableBar(price, price, price, price, quantity, barEnd); + } + + Instant barEnd = existing.endTime(); + Instant barStart = barEnd.minus(Duration.ofSeconds(config.barDurationSeconds())); + + if (!timestampIsInBar(endTime, barStart, barEnd)) { + closeBar(symbol); + Instant newBarEnd = alignToEndOfBar(endTime, config.barDurationSeconds()); + return new MutableBar(price, price, price, price, quantity, newBarEnd); + } + + double newHigh = Math.max(existing.high(), price); + double newLow = Math.min(existing.low(), price); + double newVolume = existing.volume() + quantity; + return new MutableBar(existing.open(), newHigh, newLow, price, newVolume, barEnd); + }); + } + + private Instant alignToEndOfBar(Instant timestamp, int barDurationSeconds) { + long epochSeconds = timestamp.getEpochSecond(); + long alignedEnd = ((epochSeconds / barDurationSeconds) + 1) * barDurationSeconds; + return Instant.ofEpochSecond(alignedEnd); + } + + private boolean timestampIsInBar(Instant timestamp, Instant barStart, Instant barEnd) { + return !timestamp.isBefore(barStart) && timestamp.isBefore(barEnd); + } + + private BarSeries getOrCreateSeries(String symbol) { + return series.computeIfAbsent(symbol, k -> { + var srs = new BaseBarSeriesBuilder().withName(k).build(); + srs.setMaximumBarCount(config.maxBars()); + return srs; + }); + } + + private void closeBar(String symbol) { + MutableBar mutable = mutableBars.get(symbol); + if (mutable == null) { + return; + } + + BarSeries srs = getOrCreateSeries(symbol); + try { + var builder = new TimeBarBuilder().timePeriod(Duration.ofSeconds(config.barDurationSeconds())) + .endTime(mutable.endTime()) + .openPrice(mutable.open()) + .highPrice(mutable.high()) + .lowPrice(mutable.low()) + .closePrice(mutable.close()) + .volume(mutable.volume()); + + srs.addBar(builder.build()); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to close bar for " + symbol, e); + } + } + + /** + * Called by the scheduled task to close all open bars and start fresh ones. + */ + private void closeAllBars() { + for (String symbol : mutableBars.keySet()) { + try { + closeBar(symbol); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Error closing bar for " + symbol, e); + } + } + mutableBars.clear(); + } + + /** + * Returns the BarSeries for the given symbol, or an empty series if none exists. + */ + public BarSeries getSeries(String symbol) { + return series.getOrDefault(symbol, new BaseBarSeriesBuilder().withName(symbol).build()); + } + + /** + * Returns the current (in-progress) bar if one exists. + */ + public Optional getCurrentBar(String symbol) { + MutableBar mutable = mutableBars.get(symbol); + if (mutable == null) { + return Optional.empty(); + } + try { + var builder = new TimeBarBuilder().timePeriod(Duration.ofSeconds(config.barDurationSeconds())) + .endTime(mutable.endTime()) + .openPrice(mutable.open()) + .highPrice(mutable.high()) + .lowPrice(mutable.low()) + .closePrice(mutable.close()) + .volume(mutable.volume()); + return Optional.of(builder.build()); + } catch (Exception e) { + return Optional.empty(); + } + } + + /** + * Returns the number of completed bars in the series. + */ + public int getBarCount(String symbol) { + BarSeries srs = series.get(symbol); + return srs != null ? srs.getBarCount() : 0; + } +} diff --git a/src/main/java/fish/payara/trader/analysis/IndicatorConfig.java b/src/main/java/fish/payara/trader/analysis/IndicatorConfig.java new file mode 100644 index 0000000..8930eb1 --- /dev/null +++ b/src/main/java/fish/payara/trader/analysis/IndicatorConfig.java @@ -0,0 +1,108 @@ +package fish.payara.trader.analysis; + +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import org.eclipse.microprofile.config.inject.ConfigProperty; + +/** + * MicroProfile configuration for technical analysis indicator parameters. All values configurable via environment variables or microprofile-config.properties. + */ +@ApplicationScoped +public class IndicatorConfig { + + @Inject + @ConfigProperty(name = "analysis.sma.period", defaultValue = "20") + private int smaPeriod; + + @Inject + @ConfigProperty(name = "analysis.ema.period", defaultValue = "12") + private int emaPeriod; + + @Inject + @ConfigProperty(name = "analysis.rsi.period", defaultValue = "14") + private int rsiPeriod; + + @Inject + @ConfigProperty(name = "analysis.macd.fast", defaultValue = "12") + private int macdFast; + + @Inject + @ConfigProperty(name = "analysis.macd.slow", defaultValue = "26") + private int macdSlow; + + @Inject + @ConfigProperty(name = "analysis.macd.signal", defaultValue = "9") + private int macdSignal; + + @Inject + @ConfigProperty(name = "analysis.bb.period", defaultValue = "20") + private int bbPeriod; + + @Inject + @ConfigProperty(name = "analysis.bb.stddev", defaultValue = "2.0") + private double bbStdDevMultiplier; + + @Inject + @ConfigProperty(name = "analysis.atr.period", defaultValue = "14") + private int atrPeriod; + + @Inject + @ConfigProperty(name = "analysis.bar.duration.seconds", defaultValue = "60") + private int barDurationSeconds; + + @Inject + @ConfigProperty(name = "analysis.max.bars", defaultValue = "500") + private int maxBars; + + @Inject + @ConfigProperty(name = "analysis.broadcast.interval.ms", defaultValue = "1000") + private long broadcastIntervalMs; + + public int smaPeriod() { + return smaPeriod; + } + + public int emaPeriod() { + return emaPeriod; + } + + public int rsiPeriod() { + return rsiPeriod; + } + + public int macdFast() { + return macdFast; + } + + public int macdSlow() { + return macdSlow; + } + + public int macdSignal() { + return macdSignal; + } + + public int bbPeriod() { + return bbPeriod; + } + + public double bbStdDevMultiplier() { + return bbStdDevMultiplier; + } + + public int atrPeriod() { + return atrPeriod; + } + + public int barDurationSeconds() { + return barDurationSeconds; + } + + public int maxBars() { + return maxBars; + } + + public long broadcastIntervalMs() { + return broadcastIntervalMs; + } +} diff --git a/src/main/java/fish/payara/trader/analysis/IndicatorService.java b/src/main/java/fish/payara/trader/analysis/IndicatorService.java new file mode 100644 index 0000000..c866266 --- /dev/null +++ b/src/main/java/fish/payara/trader/analysis/IndicatorService.java @@ -0,0 +1,149 @@ +package fish.payara.trader.analysis; + +import fish.payara.trader.analysis.model.IndicatorSnapshot; +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import java.util.ArrayList; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import java.util.logging.Level; +import java.util.logging.Logger; +import org.ta4j.core.BarSeries; +import org.ta4j.core.indicators.ATRIndicator; +import org.ta4j.core.indicators.MACDIndicator; +import org.ta4j.core.indicators.RSIIndicator; +import org.ta4j.core.indicators.averages.EMAIndicator; +import org.ta4j.core.indicators.averages.SMAIndicator; +import org.ta4j.core.indicators.bollinger.BollingerBandsLowerIndicator; +import org.ta4j.core.indicators.bollinger.BollingerBandsMiddleIndicator; +import org.ta4j.core.indicators.bollinger.BollingerBandsUpperIndicator; +import org.ta4j.core.indicators.helpers.ClosePriceIndicator; +import org.ta4j.core.indicators.statistics.StandardDeviationIndicator; +import org.ta4j.core.num.Num; + +/** + * Computes technical analysis indicators over aggregated bar data. All indicator families evaluated: SMA, EMA, RSI, MACD, Bollinger Bands (lower/middle/upper), + * and ATR. + */ +@ApplicationScoped +public class IndicatorService { + + private static final Logger LOGGER = Logger.getLogger(IndicatorService.class.getName()); + + @Inject + private BarAggregator barAggregator; + + @Inject + private IndicatorConfig config; + + /** + * Returns a snapshot of all indicators for the given symbol. Returns null if the series has insufficient bars. + */ + public IndicatorSnapshot getSnapshot(String symbol) { + Map values = calculateIndicators(symbol); + if (values.isEmpty()) { + return null; + } + + BarSeries series = barAggregator.getSeries(symbol); + double lastPrice = 0.0; + if (!series.isEmpty()) { + lastPrice = series.getLastBar().getClosePrice().doubleValue(); + } + + return new IndicatorSnapshot(symbol, System.currentTimeMillis(), lastPrice, values); + } + + /** + * Walks the series backward computing indicators at each bar. + */ + public List getHistoricalSnapshots(String symbol, int barCount) { + BarSeries series = barAggregator.getSeries(symbol); + if (series.isEmpty()) { + return List.of(); + } + + int requiredBars = requiredBarCount(); + if (series.getEndIndex() < requiredBars) { + return List.of(); + } + + List snapshots = new ArrayList<>(); + int endIndex = series.getEndIndex(); + int startIndex = Math.max(requiredBars, endIndex - barCount + 1); + + for (int i = startIndex; i <= endIndex; i++) { + BarSeries subSeries = series.getSubSeries(0, i); + Map values = calculateIndicatorsForSeries(subSeries); + if (values.isEmpty()) { + continue; + } + + double lastPrice = subSeries.getLastBar().getClosePrice().doubleValue(); + long timestamp = subSeries.getLastBar().getEndTime().toEpochMilli(); + + snapshots.add(new IndicatorSnapshot(symbol, timestamp, lastPrice, values)); + } + + return snapshots; + } + + /** + * Calculates all indicator families for the given symbol. + */ + public Map calculateIndicators(String symbol) { + BarSeries series = barAggregator.getSeries(symbol); + if (series.isEmpty() || series.getEndIndex() < requiredBarCount()) { + return Map.of(); + } + return calculateIndicatorsForSeries(series); + } + + private Map calculateIndicatorsForSeries(BarSeries series) { + ClosePriceIndicator closePrice = new ClosePriceIndicator(series); + Map values = new LinkedHashMap<>(); + int last = series.getEndIndex(); + + int maxRequired = requiredBarCount(); + if (last < maxRequired) { + return Map.of(); + } + + try { + SMAIndicator sma = new SMAIndicator(closePrice, config.smaPeriod()); + values.put("SMA(%d)".formatted(config.smaPeriod()), sma.getValue(last).doubleValue()); + + EMAIndicator ema = new EMAIndicator(closePrice, config.emaPeriod()); + values.put("EMA(%d)".formatted(config.emaPeriod()), ema.getValue(last).doubleValue()); + + RSIIndicator rsi = new RSIIndicator(closePrice, config.rsiPeriod()); + values.put("RSI(%d)".formatted(config.rsiPeriod()), rsi.getValue(last).doubleValue()); + + MACDIndicator macd = new MACDIndicator(closePrice, config.macdFast(), config.macdSlow()); + values.put("MACD(%d,%d)".formatted(config.macdFast(), config.macdSlow()), macd.getValue(last).doubleValue()); + + BollingerBandsMiddleIndicator bbMiddle = new BollingerBandsMiddleIndicator(sma); + StandardDeviationIndicator sd = new StandardDeviationIndicator(closePrice, config.bbPeriod()); + Num k = series.numFactory().numOf(config.bbStdDevMultiplier()); + BollingerBandsLowerIndicator bbLower = new BollingerBandsLowerIndicator(bbMiddle, sd, k); + BollingerBandsUpperIndicator bbUpper = new BollingerBandsUpperIndicator(bbMiddle, sd, k); + + values.put("BB_Lower(%d)".formatted(config.bbPeriod()), bbLower.getValue(last).doubleValue()); + values.put("BB_Middle(%d)".formatted(config.bbPeriod()), bbMiddle.getValue(last).doubleValue()); + values.put("BB_Upper(%d)".formatted(config.bbPeriod()), bbUpper.getValue(last).doubleValue()); + + ATRIndicator atr = new ATRIndicator(series, config.atrPeriod()); + values.put("ATR(%d)".formatted(config.atrPeriod()), atr.getValue(last).doubleValue()); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to compute indicators: " + e.getMessage(), e); + return Map.of(); + } + + return values; + } + + private int requiredBarCount() { + return Math.max(config.macdSlow(), Math.max(config.bbPeriod(), config.atrPeriod())) + 1; + } +} diff --git a/src/main/java/fish/payara/trader/analysis/model/IndicatorSnapshot.java b/src/main/java/fish/payara/trader/analysis/model/IndicatorSnapshot.java new file mode 100644 index 0000000..3294c0c --- /dev/null +++ b/src/main/java/fish/payara/trader/analysis/model/IndicatorSnapshot.java @@ -0,0 +1,16 @@ +package fish.payara.trader.analysis.model; + +import java.util.Map; + +/** + * Snapshot of computed indicator values for a symbol at a point in time. Values are keyed by indicator label (e.g. "SMA(20)", "RSI(14)"). + */ +public record IndicatorSnapshot(String symbol, long timestamp, double lastPrice, Map values) { + + /** + * Returns the indicator value for the given name, or Double.NaN if absent. + */ + public double getValue(String name) { + return values.getOrDefault(name, Double.NaN); + } +} diff --git a/src/main/java/fish/payara/trader/demo/DemoPresetService.java b/src/main/java/fish/payara/trader/demo/DemoPresetService.java index 65c2b48..2d81b12 100644 --- a/src/main/java/fish/payara/trader/demo/DemoPresetService.java +++ b/src/main/java/fish/payara/trader/demo/DemoPresetService.java @@ -36,7 +36,7 @@ public class DemoPresetService { private HazelcastInstance hazelcastInstance; private Map getActiveExecutions() { - if(hazelcastInstance != null) { + if (hazelcastInstance != null) { return hazelcastInstance.getMap(EXECUTIONS_MAP_NAME); } return Map.of(); diff --git a/src/main/java/fish/payara/trader/dto/IndicatorResponse.java b/src/main/java/fish/payara/trader/dto/IndicatorResponse.java new file mode 100644 index 0000000..271747c --- /dev/null +++ b/src/main/java/fish/payara/trader/dto/IndicatorResponse.java @@ -0,0 +1,29 @@ +package fish.payara.trader.dto; + +import java.util.Map; + +/** + * DTO for indicator snapshot responses. Includes manual JSON serialization. + */ +public record IndicatorResponse(String symbol, long timestamp, Map indicators) { + + public String toJson() { + StringBuilder sb = new StringBuilder(); + sb.append("{\"symbol\":\"").append(symbol).append('"'); + sb.append(",\"timestamp\":").append(timestamp); + sb.append(",\"indicators\":{"); + + boolean first = true; + for (Map.Entry entry : indicators.entrySet()) { + if (!first) { + sb.append(','); + } + first = false; + sb.append('"').append(entry.getKey()).append('"'); + sb.append(':').append(entry.getValue()); + } + + sb.append("}}"); + return sb.toString(); + } +} diff --git a/src/main/java/fish/payara/trader/dto/PortfolioResponse.java b/src/main/java/fish/payara/trader/dto/PortfolioResponse.java new file mode 100644 index 0000000..bbb6515 --- /dev/null +++ b/src/main/java/fish/payara/trader/dto/PortfolioResponse.java @@ -0,0 +1,11 @@ +package fish.payara.trader.dto; + +import fish.payara.trader.portfolio.model.PerformanceMetrics; +import fish.payara.trader.portfolio.model.PortfolioSnapshot; +import fish.payara.trader.portfolio.model.RebalancePlan; + +/** + * Aggregated portfolio response DTO. + */ +public record PortfolioResponse(PortfolioSnapshot snapshot, PerformanceMetrics metrics, RebalancePlan rebalancePlan) { +} diff --git a/src/main/java/fish/payara/trader/dto/PressureStatusResponse.java b/src/main/java/fish/payara/trader/dto/PressureStatusResponse.java index 01f7e6d..fdfeca7 100644 --- a/src/main/java/fish/payara/trader/dto/PressureStatusResponse.java +++ b/src/main/java/fish/payara/trader/dto/PressureStatusResponse.java @@ -6,12 +6,12 @@ * Response DTO for memory pressure status. Provides type-safe API contract replacing raw Map usage. */ public record PressureStatusResponse(String currentMode, String description, boolean running, int allocationRateMBPerSec, int liveSetSizeMB, - String scenarioType) { + String scenarioType, String workloadType) { /** * Creates response from current AllocationMode state. */ public static PressureStatusResponse from(AllocationMode mode, boolean running) { return new PressureStatusResponse(mode.name(), mode.getDescription(), running, mode.getAllocationRateMBPerSec(), mode.getLiveSetSizeMB(), - mode.getScenarioType().name()); + mode.getScenarioType().name(), mode.getWorkloadType().name()); } } diff --git a/src/main/java/fish/payara/trader/dto/RiskResponse.java b/src/main/java/fish/payara/trader/dto/RiskResponse.java new file mode 100644 index 0000000..14877d7 --- /dev/null +++ b/src/main/java/fish/payara/trader/dto/RiskResponse.java @@ -0,0 +1,14 @@ +package fish.payara.trader.dto; + +import fish.payara.trader.risk.model.ExposureSummary; +import fish.payara.trader.risk.model.RiskSnapshot; +import fish.payara.trader.risk.model.StressResult; +import fish.payara.trader.risk.model.VarResult; +import java.util.List; + +/** + * Aggregated risk response DTO combining per-symbol risk, exposure, VaR, and stress test results. + */ +public record RiskResponse(List positions, ExposureSummary exposure, VarResult historicalVar, VarResult parametricVar, + List stressResults) { +} diff --git a/src/main/java/fish/payara/trader/dto/TradingRiskMetrics.java b/src/main/java/fish/payara/trader/dto/TradingRiskMetrics.java new file mode 100644 index 0000000..79997f2 --- /dev/null +++ b/src/main/java/fish/payara/trader/dto/TradingRiskMetrics.java @@ -0,0 +1,14 @@ +package fish.payara.trader.dto; + +/** + * DTO for the trading desk frontend risk metrics display. + */ +public record TradingRiskMetrics(double valueAtRisk95, double totalExposure, double netDelta, double maxDrawdown, StressTestMetrics stressTests) { + + public record StressTestMetrics(double flashCrash, double volatilitySpike) { + } + + public static TradingRiskMetrics empty() { + return new TradingRiskMetrics(0, 0, 0, 0, new StressTestMetrics(0, 0)); + } +} diff --git a/src/main/java/fish/payara/trader/matching/book/CancelResult.java b/src/main/java/fish/payara/trader/matching/book/CancelResult.java new file mode 100644 index 0000000..b59fb77 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/book/CancelResult.java @@ -0,0 +1,22 @@ +package fish.payara.trader.matching.book; + +import fish.payara.trader.matching.model.Order; + +public record CancelResult(boolean canceled, String reason, Order canceledOrder) { + + public static CancelResult success(Order order) { + return new CancelResult(true, "OK", order); + } + + public static CancelResult notFound(long orderId) { + return new CancelResult(false, "Order not found: " + orderId, null); + } + + public static CancelResult alreadyFilled(long orderId) { + return new CancelResult(false, "Order already filled: " + orderId, null); + } + + public static CancelResult alreadyCanceled(long orderId) { + return new CancelResult(false, "Order already canceled: " + orderId, null); + } +} diff --git a/src/main/java/fish/payara/trader/matching/book/OrderBook.java b/src/main/java/fish/payara/trader/matching/book/OrderBook.java new file mode 100644 index 0000000..cb11adc --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/book/OrderBook.java @@ -0,0 +1,36 @@ +package fish.payara.trader.matching.book; + +import fish.payara.trader.matching.model.Execution; +import fish.payara.trader.matching.model.Order; +import fish.payara.trader.matching.model.OrderBookSnapshot; +import fish.payara.trader.matching.model.Price; + +import java.util.List; +import java.util.Optional; + +public interface OrderBook { + + String getSymbol(); + + void addOrder(Order order); + + CancelResult cancelOrder(long orderId); + + List matchOrder(Order incomingOrder); + + List matchAgainstMarket(Price bidPrice, Price askPrice, long bidSize, long askSize); + + OrderBookSnapshot getSnapshot(int maxDepth); + + int bidDepth(); + + int askDepth(); + + Optional bestBid(); + + Optional bestAsk(); + + boolean hasOrders(); + + void clear(); +} diff --git a/src/main/java/fish/payara/trader/matching/book/OrderBookFactory.java b/src/main/java/fish/payara/trader/matching/book/OrderBookFactory.java new file mode 100644 index 0000000..42fb085 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/book/OrderBookFactory.java @@ -0,0 +1,24 @@ +package fish.payara.trader.matching.book; + +import jakarta.enterprise.context.ApplicationScoped; + +import java.util.concurrent.ConcurrentHashMap; + +@ApplicationScoped +public class OrderBookFactory { + + private final ConcurrentHashMap books = new ConcurrentHashMap<>(); + + public OrderBook getOrCreate(String symbol) { + return books.computeIfAbsent(symbol, k -> new PriceTimeOrderBook(k)); + } + + public OrderBook get(String symbol) { + return books.get(symbol); + } + + public void clearAll() { + books.values().forEach(OrderBook::clear); + books.clear(); + } +} diff --git a/src/main/java/fish/payara/trader/matching/book/PriceTimeOrderBook.java b/src/main/java/fish/payara/trader/matching/book/PriceTimeOrderBook.java new file mode 100644 index 0000000..071186a --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/book/PriceTimeOrderBook.java @@ -0,0 +1,308 @@ +package fish.payara.trader.matching.book; + +import fish.payara.trader.matching.model.*; + +import java.util.*; +import java.util.concurrent.atomic.AtomicLong; +import java.util.logging.Logger; + +/** + * Price-time priority order book. Bids sorted descending (best = highest), asks sorted ascending (best = lowest). + */ +public class PriceTimeOrderBook implements OrderBook { + + private static final Logger LOGGER = Logger.getLogger(PriceTimeOrderBook.class.getName()); + + private final String symbol; + private final NavigableMap> bids = new TreeMap<>(Comparator.reverseOrder()); + private final NavigableMap> asks = new TreeMap<>(); + private final Map orderIndex = new HashMap<>(); + + private final AtomicLong executionIdGenerator = new AtomicLong(System.currentTimeMillis() * 10000); + + public PriceTimeOrderBook(String symbol) { + this.symbol = symbol; + } + + @Override + public String getSymbol() { + return symbol; + } + + @Override + public void addOrder(Order order) { + synchronized (this) { + OrderBookEntry entry = new OrderBookEntry(order, System.currentTimeMillis()); + orderIndex.put(order.orderId(), entry); + + var book = order.side() == Side.BUY ? bids : asks; + book.computeIfAbsent(order.price(), k -> new LinkedList<>()).addLast(entry); + } + } + + @Override + public CancelResult cancelOrder(long orderId) { + synchronized (this) { + OrderBookEntry entry = orderIndex.remove(orderId); + if (entry == null) { + return CancelResult.notFound(orderId); + } + Order order = entry.order(); + if (order.isTerminal()) { + return order.status() == OrderStatus.FILLED ? CancelResult.alreadyFilled(orderId) : CancelResult.alreadyCanceled(orderId); + } + + var book = order.side() == Side.BUY ? bids : asks; + var level = book.get(order.price()); + if (level != null) { + level.removeIf(e -> e.order().orderId() == orderId); + if (level.isEmpty()) { + book.remove(order.price()); + } + } + return CancelResult.success(order.withStatus(OrderStatus.CANCELED)); + } + } + + @Override + public List matchOrder(Order incomingOrder) { + List executions = new ArrayList<>(); + + if (incomingOrder.leavesQty() <= 0) { + return executions; + } + + long remaining = incomingOrder.leavesQty(); + + synchronized (this) { + if (incomingOrder.side() == Side.BUY) { + Iterator>> levelIter = asks.entrySet().iterator(); + + while (levelIter.hasNext() && remaining > 0) { + Map.Entry> level = levelIter.next(); + Price askPrice = level.getKey(); + + if (incomingOrder.type() == OrderType.LIMIT && askPrice.compareTo(incomingOrder.price()) > 0) { + break; + } + + Iterator entryIter = level.getValue().iterator(); + while (entryIter.hasNext() && remaining > 0) { + OrderBookEntry entry = entryIter.next(); + Order resting = entry.order(); + long fillQty = Math.min(remaining, resting.leavesQty()); + + Execution exec = new Execution(executionIdGenerator.incrementAndGet(), resting.orderId(), resting.clientOrderId(), resting.symbol(), + Side.BUY, askPrice, fillQty, System.currentTimeMillis()); + executions.add(exec); + remaining -= fillQty; + entryIter.remove(); + } + + if (level.getValue().isEmpty()) { + levelIter.remove(); + } + } + } else { + Iterator>> levelIter = bids.entrySet().iterator(); + + while (levelIter.hasNext() && remaining > 0) { + Map.Entry> level = levelIter.next(); + Price bidPrice = level.getKey(); + + if (incomingOrder.type() == OrderType.LIMIT && bidPrice.compareTo(incomingOrder.price()) < 0) { + break; + } + + Iterator entryIter = level.getValue().iterator(); + while (entryIter.hasNext() && remaining > 0) { + OrderBookEntry entry = entryIter.next(); + Order resting = entry.order(); + long fillQty = Math.min(remaining, resting.leavesQty()); + + Execution exec = new Execution(executionIdGenerator.incrementAndGet(), resting.orderId(), resting.clientOrderId(), resting.symbol(), + Side.SELL, bidPrice, fillQty, System.currentTimeMillis()); + executions.add(exec); + remaining -= fillQty; + entryIter.remove(); + } + + if (level.getValue().isEmpty()) { + levelIter.remove(); + } + } + } + } + + if (!executions.isEmpty()) { + long totalFilled = executions.stream().mapToLong(Execution::quantity).sum(); + LOGGER.fine(() -> "Matched " + totalFilled + " qty for order " + incomingOrder.orderId() + " across " + executions.size() + " executions"); + } + + return executions; + } + + @Override + public List matchAgainstMarket(Price bidPrice, Price askPrice, long bidSize, long askSize) { + List executions = new ArrayList<>(); + synchronized (this) { + sweepAsks(bidPrice, bidSize, Side.BUY, executions); + sweepBids(askPrice, askSize, Side.SELL, executions); + } + return executions; + } + + private void sweepAsks(Price bidPrice, long bidSize, Side aggressiveSide, List executions) { + Iterator>> levelIter = asks.entrySet().iterator(); + long remainingBid = bidSize; + + while (levelIter.hasNext() && remainingBid > 0) { + Map.Entry> level = levelIter.next(); + Price askPrice = level.getKey(); + + if (askPrice.compareTo(bidPrice) > 0) { + break; + } + + Iterator entryIter = level.getValue().iterator(); + while (entryIter.hasNext() && remainingBid > 0) { + OrderBookEntry entry = entryIter.next(); + Order resting = entry.order(); + long fillQty = Math.min(remainingBid, resting.leavesQty()); + + Execution exec = new Execution(executionIdGenerator.incrementAndGet(), resting.orderId(), resting.clientOrderId(), resting.symbol(), + aggressiveSide, askPrice, fillQty, System.currentTimeMillis()); + executions.add(exec); + + remainingBid -= fillQty; + Order updatedResting = resting.filled(fillQty); + entry = entry.filledBy(fillQty); + + if (entry.remainingQty() <= 0) { + orderIndex.remove(resting.orderId()); + entryIter.remove(); + } else { + entryIter.remove(); + level.getValue().addFirst(new OrderBookEntry(updatedResting, entry.entryTimestamp())); + } + } + + if (level.getValue().isEmpty()) { + levelIter.remove(); + } + } + } + + private void sweepBids(Price askPrice, long askSize, Side aggressiveSide, List executions) { + Iterator>> levelIter = bids.entrySet().iterator(); + long remainingAsk = askSize; + + while (levelIter.hasNext() && remainingAsk > 0) { + Map.Entry> level = levelIter.next(); + Price bidPrice = level.getKey(); + + if (bidPrice.compareTo(askPrice) < 0) { + break; + } + + Iterator entryIter = level.getValue().iterator(); + while (entryIter.hasNext() && remainingAsk > 0) { + OrderBookEntry entry = entryIter.next(); + Order resting = entry.order(); + long fillQty = Math.min(remainingAsk, resting.leavesQty()); + + Execution exec = new Execution(executionIdGenerator.incrementAndGet(), resting.orderId(), resting.clientOrderId(), resting.symbol(), + aggressiveSide, bidPrice, fillQty, System.currentTimeMillis()); + executions.add(exec); + + remainingAsk -= fillQty; + Order updatedResting = resting.filled(fillQty); + entry = entry.filledBy(fillQty); + + if (entry.remainingQty() <= 0) { + orderIndex.remove(resting.orderId()); + entryIter.remove(); + } else { + entryIter.remove(); + level.getValue().addFirst(new OrderBookEntry(updatedResting, entry.entryTimestamp())); + } + } + + if (level.getValue().isEmpty()) { + levelIter.remove(); + } + } + } + + @Override + public OrderBookSnapshot getSnapshot(int maxDepth) { + synchronized (this) { + List bidLevels = buildLevels(bids, maxDepth); + List askLevels = buildLevels(asks, maxDepth); + int totalBidDepth = bids.values().stream().mapToInt(List::size).sum(); + int totalAskDepth = asks.values().stream().mapToInt(List::size).sum(); + return new OrderBookSnapshot(symbol, System.currentTimeMillis(), bidLevels, askLevels, totalBidDepth, totalAskDepth); + } + } + + private List buildLevels(NavigableMap> book, int maxDepth) { + List levels = new ArrayList<>(); + int count = 0; + for (Map.Entry> entry : book.entrySet()) { + if (count >= maxDepth) + break; + long totalQty = entry.getValue().stream().mapToLong(e -> e.order().leavesQty()).sum(); + levels.add(new OrderBookLevel(entry.getKey(), totalQty, entry.getValue().size())); + count++; + } + return levels; + } + + @Override + public int bidDepth() { + synchronized (this) { + return bids.values().stream().mapToInt(List::size).sum(); + } + } + + @Override + public int askDepth() { + synchronized (this) { + return asks.values().stream().mapToInt(List::size).sum(); + } + } + + @Override + public Optional bestBid() { + synchronized (this) { + var first = bids.firstEntry(); + return first == null ? Optional.empty() : Optional.of(first.getKey()); + } + } + + @Override + public Optional bestAsk() { + synchronized (this) { + var first = asks.firstEntry(); + return first == null ? Optional.empty() : Optional.of(first.getKey()); + } + } + + @Override + public boolean hasOrders() { + synchronized (this) { + return !bids.isEmpty() || !asks.isEmpty(); + } + } + + @Override + public void clear() { + synchronized (this) { + bids.clear(); + asks.clear(); + orderIndex.clear(); + LOGGER.info("Order book cleared"); + } + } + +} diff --git a/src/main/java/fish/payara/trader/matching/config/MatchingConfig.java b/src/main/java/fish/payara/trader/matching/config/MatchingConfig.java new file mode 100644 index 0000000..532128a --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/config/MatchingConfig.java @@ -0,0 +1,41 @@ +package fish.payara.trader.matching.config; + +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import org.eclipse.microprofile.config.inject.ConfigProperty; + +@ApplicationScoped +public class MatchingConfig { + + @Inject + @ConfigProperty(name = "matching.max.history.size", defaultValue = "10000") + private int maxHistorySize; + + @Inject + @ConfigProperty(name = "matching.max.book.depth", defaultValue = "50") + private int maxBookDepth; + + @Inject + @ConfigProperty(name = "matching.default.tif", defaultValue = "GTC") + private String defaultTimeInForce; + + @Inject + @ConfigProperty(name = "matching.price.scale", defaultValue = "10000") + private int priceScale; + + public int maxHistorySize() { + return maxHistorySize; + } + + public int maxBookDepth() { + return maxBookDepth; + } + + public String defaultTimeInForce() { + return defaultTimeInForce; + } + + public int priceScale() { + return priceScale; + } +} diff --git a/src/main/java/fish/payara/trader/matching/engine/IcebergOrderHandler.java b/src/main/java/fish/payara/trader/matching/engine/IcebergOrderHandler.java new file mode 100644 index 0000000..0b9fb92 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/engine/IcebergOrderHandler.java @@ -0,0 +1,54 @@ +package fish.payara.trader.matching.engine; + +import fish.payara.trader.matching.model.Order; +import fish.payara.trader.matching.model.OrderType; + +import jakarta.enterprise.context.ApplicationScoped; +import java.util.concurrent.ConcurrentHashMap; +import java.util.logging.Logger; + +@ApplicationScoped +public class IcebergOrderHandler { + + private static final Logger LOGGER = Logger.getLogger(IcebergOrderHandler.class.getName()); + + private final ConcurrentHashMap hiddenQuantities = new ConcurrentHashMap<>(); + + public void track(Order order) { + if (order.type() == OrderType.ICEBERG && order.displayQuantity() > 0) { + long totalQty = order.quantity(); + long displayed = Math.min(order.displayQuantity(), totalQty); + long hidden = totalQty - displayed; + hiddenQuantities.put(order.orderId(), hidden); + LOGGER.fine(() -> "Tracking iceberg order " + order.orderId() + ": displayed=" + displayed + " hidden=" + hidden); + } + } + + public long revealNextSlice(Order order) { + if (order.type() != OrderType.ICEBERG) { + return order.leavesQty(); + } + + long hidden = hiddenQuantities.getOrDefault(order.orderId(), 0L); + if (hidden <= 0) { + return order.leavesQty(); + } + + long slice = Math.min(order.displayQuantity(), hidden); + hiddenQuantities.put(order.orderId(), hidden - slice); + LOGGER.fine(() -> "Revealing iceberg slice " + slice + " for order " + order.orderId()); + return slice; + } + + public long remainingHidden(long orderId) { + return hiddenQuantities.getOrDefault(orderId, 0L); + } + + public void removeTracking(long orderId) { + hiddenQuantities.remove(orderId); + } + + public void clear() { + hiddenQuantities.clear(); + } +} diff --git a/src/main/java/fish/payara/trader/matching/engine/MatchingEngine.java b/src/main/java/fish/payara/trader/matching/engine/MatchingEngine.java new file mode 100644 index 0000000..08f8f94 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/engine/MatchingEngine.java @@ -0,0 +1,288 @@ +package fish.payara.trader.matching.engine; + +import fish.payara.trader.matching.book.CancelResult; +import fish.payara.trader.matching.book.OrderBook; +import fish.payara.trader.matching.book.OrderBookFactory; +import fish.payara.trader.matching.config.MatchingConfig; +import fish.payara.trader.matching.exception.OrderValidationException; +import fish.payara.trader.matching.history.ExecutionHistory; +import fish.payara.trader.matching.history.ExecutionHistoryQuery; +import fish.payara.trader.matching.jfr.MatchingEvents; +import fish.payara.trader.matching.model.*; +import fish.payara.trader.matching.position.PositionService; +import fish.payara.trader.matching.websocket.ExecutionBroadcaster; + +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import java.util.*; +import java.util.concurrent.atomic.AtomicLong; +import java.util.logging.Level; +import java.util.logging.Logger; + +@ApplicationScoped +public class MatchingEngine { + + private static final Logger LOGGER = Logger.getLogger(MatchingEngine.class.getName()); + private static final Set VALID_SYMBOLS = Set.of("AAPL", "GOOGL", "MSFT", "AMZN", "TSLA", "NVDA", "META", "NFLX"); + + @Inject + private OrderBookFactory orderBookFactory; + + @Inject + private PriceTimePriorityMatcher matcher; + + @Inject + private StopOrderTracker stopOrderTracker; + + @Inject + private IcebergOrderHandler icebergOrderHandler; + + @Inject + private PositionService positionService; + + @Inject + private ExecutionBroadcaster executionBroadcaster; + + @Inject + private ExecutionHistory executionHistory; + + @Inject + private MatchingConfig matchingConfig; + + private final AtomicLong orderIdGenerator = new AtomicLong(System.currentTimeMillis() * 10000); + + public Order submitOrder(OrderRequest request) { + validate(request); + + long orderId = orderIdGenerator.incrementAndGet(); + long now = System.currentTimeMillis(); + + Price limitPrice = request.price() != null ? Price.fromDouble(request.price()) : Price.ZERO; + Price stopPrice = request.stopPrice() != null ? Price.fromDouble(request.stopPrice()) : Price.ZERO; + Price trailingOffset = request.trailingStopOffset() != null ? Price.fromDouble(request.trailingStopOffset()) : Price.ZERO; + + TimeInForce tif = request.timeInForce() != null ? request.timeInForce() : TimeInForce.GTC; + long displayQty = request.displayQuantity() != null ? request.displayQuantity() : 0; + + boolean isStopOrder = request.type() == OrderType.STOP || request.type() == OrderType.STOP_LIMIT || request.type() == OrderType.TRAILING_STOP; + + OrderStatus initialStatus = isStopOrder ? OrderStatus.PENDING_TRIGGER : OrderStatus.NEW; + + Order order = new Order(orderId, orderId, request.symbol(), request.side(), request.type(), initialStatus, limitPrice, request.quantity(), + request.quantity(), 0, stopPrice, tif, displayQty, trailingOffset, Price.ZERO, now, now); + + emitOrderSubmitted(order); + + if (isStopOrder) { + stopOrderTracker.register(order); + LOGGER.info("Stop order registered: " + orderId + " " + request.symbol() + " " + request.side() + " type=" + request.type()); + return order; + } + + if (request.type() == OrderType.ICEBERG && displayQty > 0) { + icebergOrderHandler.track(order); + } + + OrderBook book = orderBookFactory.getOrCreate(request.symbol()); + + List executions = matcher.match(order, book); + long totalFilled = executions.stream().mapToLong(Execution::quantity).sum(); + + if (totalFilled > 0) { + Order filledOrder = order; + for (Execution exec : executions) { + executionHistory.append(exec); + positionService.updatePosition(exec); + filledOrder = filledOrder.filled(exec.quantity()); + executionBroadcaster.broadcast(exec.toJson()); + } + emitOrderMatched(filledOrder, totalFilled); + + if (filledOrder.leavesQty() > 0 && !isImmediateOrFillAndKill(tif)) { + Order resting = new Order(filledOrder.orderId(), filledOrder.clientOrderId(), filledOrder.symbol(), filledOrder.side(), filledOrder.type(), + OrderStatus.NEW, filledOrder.price(), filledOrder.quantity(), filledOrder.leavesQty(), filledOrder.cumQty(), + filledOrder.stopPrice(), filledOrder.timeInForce(), filledOrder.displayQuantity(), filledOrder.trailingStopOffset(), + filledOrder.trailingStopReference(), filledOrder.createdTimestamp(), System.currentTimeMillis()); + book.addOrder(resting); + return resting; + } + return filledOrder; + } + + book.addOrder(order); + return order; + } + + private boolean isImmediateOrFillAndKill(TimeInForce tif) { + return tif == TimeInForce.IOC || tif == TimeInForce.FOK; + } + + public CancelResult cancelOrder(long orderId) { + boolean removedFromStops = stopOrderTracker.cancel(orderId); + + if (removedFromStops) { + emitOrderCanceled(orderId, "Stop order canceled"); + return CancelResult.success(null); + } + + CancelResult result = null; + for (String symbol : VALID_SYMBOLS) { + OrderBook book = orderBookFactory.get(symbol); + if (book != null && book.hasOrders()) { + CancelResult attempt = book.cancelOrder(orderId); + if (attempt.canceled()) { + result = attempt; + break; + } + if (result == null && !attempt.canceled() && attempt.canceledOrder() == null) { + result = attempt; + } + } + } + + if (result != null && result.canceled()) { + emitOrderCanceled(orderId, result.reason()); + } + + if (result == null) { + result = CancelResult.notFound(orderId); + } + return result; + } + + public List onMarketData(String symbol, Price bid, Price ask, long bidSize, long askSize) { + List allExecutions = new ArrayList<>(); + + List triggeredStops = stopOrderTracker.onMarketData(symbol, bid, ask); + for (Order triggered : triggeredStops) { + emitStopTriggered(triggered); + OrderRequest promotedRequest = new OrderRequest(triggered.symbol(), triggered.side(), triggered.type(), triggered.price().toDouble(), + triggered.leavesQty(), null, triggered.timeInForce(), triggered.displayQuantity(), triggered.trailingStopOffset().toDouble()); + try { + Order promotedOrder = submitOrder(promotedRequest); + LOGGER.info("Promoted stop order " + triggered.orderId() + " -> " + promotedOrder.orderId()); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to promote triggered stop order " + triggered.orderId(), e); + } + } + + OrderBook book = orderBookFactory.get(symbol); + if (book == null) { + return allExecutions; + } + + List sweepExecs = book.matchAgainstMarket(bid, ask, bidSize, askSize); + for (Execution exec : sweepExecs) { + executionHistory.append(exec); + positionService.updatePosition(exec); + executionBroadcaster.broadcast(exec.toJson()); + allExecutions.add(exec); + } + + positionService.updateMarkPrice(symbol, bid); + + return allExecutions; + } + + public Optional getBook(String symbol) { + OrderBook book = orderBookFactory.get(symbol); + if (book == null) { + return Optional.empty(); + } + return Optional.of(book.getSnapshot(matchingConfig.maxBookDepth())); + } + + public Map getPositions() { + return positionService.getAllPositions(); + } + + public Optional getPosition(String symbol) { + return Optional.of(positionService.getPosition(symbol)); + } + + public List getExecutions(ExecutionHistoryQuery query) { + return executionHistory.query(query); + } + + private void validate(OrderRequest request) { + if (request.symbol() == null || !VALID_SYMBOLS.contains(request.symbol())) { + throw new OrderValidationException("Invalid symbol: " + request.symbol()); + } + if (request.side() == null) { + throw new OrderValidationException("Side is required"); + } + if (request.type() == null) { + throw new OrderValidationException("Order type is required"); + } + if (request.quantity() == null || request.quantity() <= 0) { + throw new OrderValidationException("Quantity must be positive"); + } + + switch (request.type()) { + case LIMIT, STOP_LIMIT -> { + if (request.price() == null || request.price() <= 0) { + throw new OrderValidationException("Price is required for " + request.type() + " orders"); + } + } + case STOP, TRAILING_STOP -> { + if (request.stopPrice() == null || request.stopPrice() <= 0) { + throw new OrderValidationException("Stop price is required for " + request.type() + " orders"); + } + } + case ICEBERG -> { + if (request.displayQuantity() == null || request.displayQuantity() <= 0) { + throw new OrderValidationException("Display quantity is required for ICEBERG orders"); + } + if (request.price() == null || request.price() <= 0) { + throw new OrderValidationException("Price is required for ICEBERG orders"); + } + } + } + } + + private void emitOrderSubmitted(Order order) { + var event = new MatchingEvents.OrderSubmitted(); + if (event.isEnabled()) { + event.orderId = order.orderId(); + event.symbol = order.symbol(); + event.side = order.side().name(); + event.type = order.type().name(); + event.quantity = order.quantity(); + event.price = order.price().ticks(); + event.commit(); + } + } + + private void emitOrderMatched(Order order, long totalFilled) { + var event = new MatchingEvents.OrderMatched(); + if (event.isEnabled()) { + event.orderId = order.orderId(); + event.symbol = order.symbol(); + event.side = order.side().name(); + event.filledQuantity = totalFilled; + event.remainingQuantity = order.leavesQty(); + event.status = order.status().name(); + event.commit(); + } + } + + private void emitStopTriggered(Order order) { + var event = new MatchingEvents.StopTriggered(); + if (event.isEnabled()) { + event.orderId = order.orderId(); + event.symbol = order.symbol(); + event.side = order.side().name(); + event.stopPrice = order.stopPrice().ticks(); + event.commit(); + } + } + + private void emitOrderCanceled(long orderId, String reason) { + var event = new MatchingEvents.OrderCanceled(); + if (event.isEnabled()) { + event.orderId = orderId; + event.reason = reason; + event.commit(); + } + } +} diff --git a/src/main/java/fish/payara/trader/matching/engine/MatchingStrategy.java b/src/main/java/fish/payara/trader/matching/engine/MatchingStrategy.java new file mode 100644 index 0000000..50c6f07 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/engine/MatchingStrategy.java @@ -0,0 +1,12 @@ +package fish.payara.trader.matching.engine; + +import fish.payara.trader.matching.model.Execution; +import fish.payara.trader.matching.model.Order; +import fish.payara.trader.matching.book.OrderBook; + +import java.util.List; + +public interface MatchingStrategy { + + List match(Order incomingOrder, OrderBook book); +} diff --git a/src/main/java/fish/payara/trader/matching/engine/PriceTimePriorityMatcher.java b/src/main/java/fish/payara/trader/matching/engine/PriceTimePriorityMatcher.java new file mode 100644 index 0000000..612b1eb --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/engine/PriceTimePriorityMatcher.java @@ -0,0 +1,20 @@ +package fish.payara.trader.matching.engine; + +import fish.payara.trader.matching.book.OrderBook; +import fish.payara.trader.matching.model.Execution; +import fish.payara.trader.matching.model.Order; + +import jakarta.enterprise.context.ApplicationScoped; +import java.util.List; +import java.util.logging.Logger; + +@ApplicationScoped +public class PriceTimePriorityMatcher implements MatchingStrategy { + + private static final Logger LOGGER = Logger.getLogger(PriceTimePriorityMatcher.class.getName()); + + @Override + public List match(Order incomingOrder, OrderBook book) { + return book.matchOrder(incomingOrder); + } +} diff --git a/src/main/java/fish/payara/trader/matching/engine/StopOrderTracker.java b/src/main/java/fish/payara/trader/matching/engine/StopOrderTracker.java new file mode 100644 index 0000000..8b2f670 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/engine/StopOrderTracker.java @@ -0,0 +1,118 @@ +package fish.payara.trader.matching.engine; + +import fish.payara.trader.matching.model.Order; +import fish.payara.trader.matching.model.OrderStatus; +import fish.payara.trader.matching.model.OrderType; +import fish.payara.trader.matching.model.Price; +import fish.payara.trader.matching.model.Side; + +import jakarta.enterprise.context.ApplicationScoped; +import java.util.ArrayList; +import java.util.Iterator; +import java.util.List; +import java.util.concurrent.ConcurrentHashMap; +import java.util.logging.Logger; + +@ApplicationScoped +public class StopOrderTracker { + + private static final Logger LOGGER = Logger.getLogger(StopOrderTracker.class.getName()); + + private final ConcurrentHashMap> buyStops = new ConcurrentHashMap<>(); + private final ConcurrentHashMap> sellStops = new ConcurrentHashMap<>(); + private final ConcurrentHashMap allStops = new ConcurrentHashMap<>(); + + public void register(Order order) { + if (order.status() != OrderStatus.PENDING_TRIGGER) { + return; + } + + allStops.put(order.orderId(), order); + + String symbol = order.symbol(); + switch (order.side()) { + case BUY -> buyStops.computeIfAbsent(symbol, k -> new ArrayList<>()).add(order); + case SELL -> sellStops.computeIfAbsent(symbol, k -> new ArrayList<>()).add(order); + } + + LOGGER.fine(() -> "Registered stop order: " + order.orderId() + " " + order.symbol() + " " + order.side() + " @ " + order.stopPrice().toDouble()); + } + + public List onMarketData(String symbol, Price bid, Price ask) { + List triggered = new ArrayList<>(); + + List symbolBuyStops = buyStops.get(symbol); + if (symbolBuyStops != null) { + Iterator iter = symbolBuyStops.iterator(); + while (iter.hasNext()) { + Order stop = iter.next(); + if (ask.compareTo(stop.stopPrice()) >= 0) { + triggered.add(promote(stop, bid)); + allStops.remove(stop.orderId()); + iter.remove(); + } + } + } + + List symbolSellStops = sellStops.get(symbol); + if (symbolSellStops != null) { + Iterator iter = symbolSellStops.iterator(); + while (iter.hasNext()) { + Order stop = iter.next(); + if (bid.compareTo(stop.stopPrice()) <= 0) { + triggered.add(promote(stop, ask)); + allStops.remove(stop.orderId()); + iter.remove(); + } + } + } + + if (!triggered.isEmpty()) { + LOGGER.info("Triggered " + triggered.size() + " stop orders for " + symbol); + } + + return triggered; + } + + private Order promote(Order stop, Price triggerPrice) { + OrderStatus newStatus = switch (stop.type()) { + case STOP -> OrderStatus.NEW; + case STOP_LIMIT -> OrderStatus.NEW; + case TRAILING_STOP -> OrderStatus.NEW; + default -> OrderStatus.NEW; + }; + + return new Order(stop.orderId(), stop.clientOrderId(), stop.symbol(), stop.side(), + stop.type() == OrderType.STOP_LIMIT ? OrderType.LIMIT : OrderType.MARKET, newStatus, + stop.type() == OrderType.STOP_LIMIT ? stop.price() : triggerPrice, stop.quantity(), stop.leavesQty(), stop.cumQty(), Price.ZERO, + stop.timeInForce(), stop.displayQuantity(), stop.trailingStopOffset(), triggerPrice, stop.createdTimestamp(), + System.currentTimeMillis()); + } + + public boolean cancel(long orderId) { + Order removed = allStops.remove(orderId); + if (removed == null) { + return false; + } + + String symbol = removed.symbol(); + List stops = removed.side() == Side.BUY ? buyStops.get(symbol) : sellStops.get(symbol); + + if (stops != null) { + stops.removeIf(o -> o.orderId() == orderId); + } + + LOGGER.fine("Canceled stop order: " + orderId); + return true; + } + + public int pendingStopCount(String symbol) { + int buyCount = buyStops.getOrDefault(symbol, List.of()).size(); + int sellCount = sellStops.getOrDefault(symbol, List.of()).size(); + return buyCount + sellCount; + } + + public int totalPendingStops() { + return allStops.size(); + } +} diff --git a/src/main/java/fish/payara/trader/matching/exception/OrderNotFoundException.java b/src/main/java/fish/payara/trader/matching/exception/OrderNotFoundException.java new file mode 100644 index 0000000..3f991b4 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/exception/OrderNotFoundException.java @@ -0,0 +1,16 @@ +package fish.payara.trader.matching.exception; + +public class OrderNotFoundException extends RuntimeException { + + public OrderNotFoundException() { + super(); + } + + public OrderNotFoundException(String message) { + super(message); + } + + public OrderNotFoundException(long orderId) { + super("Order not found: " + orderId); + } +} diff --git a/src/main/java/fish/payara/trader/matching/exception/OrderRejectedException.java b/src/main/java/fish/payara/trader/matching/exception/OrderRejectedException.java new file mode 100644 index 0000000..d7a5e98 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/exception/OrderRejectedException.java @@ -0,0 +1,15 @@ +package fish.payara.trader.matching.exception; + +public class OrderRejectedException extends RuntimeException { + + private final String reason; + + public OrderRejectedException(String reason) { + super(reason); + this.reason = reason; + } + + public String reason() { + return reason; + } +} diff --git a/src/main/java/fish/payara/trader/matching/exception/OrderValidationException.java b/src/main/java/fish/payara/trader/matching/exception/OrderValidationException.java new file mode 100644 index 0000000..afeb770 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/exception/OrderValidationException.java @@ -0,0 +1,15 @@ +package fish.payara.trader.matching.exception; + +public class OrderValidationException extends RuntimeException { + + private final String reason; + + public OrderValidationException(String reason) { + super(reason); + this.reason = reason; + } + + public String reason() { + return reason; + } +} diff --git a/src/main/java/fish/payara/trader/matching/history/ExecutionHistory.java b/src/main/java/fish/payara/trader/matching/history/ExecutionHistory.java new file mode 100644 index 0000000..54e6e2f --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/history/ExecutionHistory.java @@ -0,0 +1,107 @@ +package fish.payara.trader.matching.history; + +import fish.payara.trader.matching.model.Execution; + +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import fish.payara.trader.matching.config.MatchingConfig; +import java.util.ArrayList; +import java.util.List; +import java.util.logging.Logger; +import java.util.concurrent.locks.ReentrantLock; + +/** + * Fixed-capacity ring buffer for execution history. Pre-allocates storage to avoid GC pressure. + */ +@ApplicationScoped +public class ExecutionHistory { + + private static final Logger LOGGER = Logger.getLogger(ExecutionHistory.class.getName()); + + private Execution[] buffer; + private int maxSize; + private int head = 0; + private int count = 0; + private ReentrantLock lock = new ReentrantLock(); + + protected ExecutionHistory() { + this.maxSize = 10000; + this.buffer = new Execution[maxSize]; + } + + @Inject + public ExecutionHistory(MatchingConfig config) { + this.maxSize = config.maxHistorySize(); + this.buffer = new Execution[maxSize]; + LOGGER.info("Execution history initialized with capacity: " + maxSize); + } + + public void append(Execution execution) { + lock.lock(); + try { + buffer[head] = execution; + head = (head + 1) % maxSize; + if (count < maxSize) { + count++; + } + } finally { + lock.unlock(); + } + } + + public List query(ExecutionHistoryQuery query) { + lock.lock(); + try { + List results = new ArrayList<>(); + + int effectiveLimit = Math.min(query.limit(), count); + + for (int i = 0; i < count && results.size() < effectiveLimit; i++) { + int idx = (head - 1 - i + maxSize) % maxSize; + Execution exec = buffer[idx]; + if (exec == null) { + continue; + } + + if (query.symbol() != null && !query.symbol().equals(exec.symbol())) { + continue; + } + if (query.fromTimestamp() != null && exec.timestamp() < query.fromTimestamp()) { + continue; + } + if (query.toTimestamp() != null && exec.timestamp() > query.toTimestamp()) { + continue; + } + + results.add(exec); + } + + return results; + } finally { + lock.unlock(); + } + } + + public int size() { + lock.lock(); + try { + return count; + } finally { + lock.unlock(); + } + } + + public void clear() { + lock.lock(); + try { + for (int i = 0; i < maxSize; i++) { + buffer[i] = null; + } + head = 0; + count = 0; + LOGGER.info("Execution history cleared"); + } finally { + lock.unlock(); + } + } +} diff --git a/src/main/java/fish/payara/trader/matching/history/ExecutionHistoryQuery.java b/src/main/java/fish/payara/trader/matching/history/ExecutionHistoryQuery.java new file mode 100644 index 0000000..3937c03 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/history/ExecutionHistoryQuery.java @@ -0,0 +1,22 @@ +package fish.payara.trader.matching.history; + +public record ExecutionHistoryQuery(String symbol, Long fromTimestamp, Long toTimestamp, Integer limit) { + + public ExecutionHistoryQuery { + if (limit == null || limit <= 0) { + limit = 100; + } + } + + public static ExecutionHistoryQuery all() { + return new ExecutionHistoryQuery(null, null, null, 100); + } + + public static ExecutionHistoryQuery forSymbol(String symbol) { + return new ExecutionHistoryQuery(symbol, null, null, 100); + } + + public static ExecutionHistoryQuery forSymbol(String symbol, int limit) { + return new ExecutionHistoryQuery(symbol, null, null, limit); + } +} diff --git a/src/main/java/fish/payara/trader/matching/jfr/MatchingEvents.java b/src/main/java/fish/payara/trader/matching/jfr/MatchingEvents.java new file mode 100644 index 0000000..0036329 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/jfr/MatchingEvents.java @@ -0,0 +1,57 @@ +package fish.payara.trader.matching.jfr; + +import jdk.jfr.Category; +import jdk.jfr.Event; +import jdk.jfr.Label; +import jdk.jfr.Name; +import jdk.jfr.StackTrace; + +/** + * JFR events for Order Matching Engine monitoring. + */ +@Category("Matching") +@Label("Order Matching") +public class MatchingEvents { + + @Name("order.submitted") + @Label("Order Submitted") + @StackTrace(false) + public static class OrderSubmitted extends Event { + public long orderId; + public String symbol; + public String side; + public String type; + public long quantity; + public long price; + } + + @Name("order.matched") + @Label("Order Matched") + @StackTrace(false) + public static class OrderMatched extends Event { + public long orderId; + public String symbol; + public String side; + public long filledQuantity; + public long remainingQuantity; + public String status; + } + + @Name("stop.triggered") + @Label("Stop Order Triggered") + @StackTrace(false) + public static class StopTriggered extends Event { + public long orderId; + public String symbol; + public String side; + public long stopPrice; + } + + @Name("order.canceled") + @Label("Order Canceled") + @StackTrace(false) + public static class OrderCanceled extends Event { + public long orderId; + public String reason; + } +} diff --git a/src/main/java/fish/payara/trader/matching/model/Execution.java b/src/main/java/fish/payara/trader/matching/model/Execution.java new file mode 100644 index 0000000..8a89dd8 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/Execution.java @@ -0,0 +1,20 @@ +package fish.payara.trader.matching.model; + +public record Execution(long executionId, long orderId, long clientOrderId, String symbol, Side side, Price price, long quantity, long timestamp) { + + public String toJson() { + StringBuilder sb = new StringBuilder(256); + sb.append('{'); + sb.append("\"executionId\":").append(executionId).append(','); + sb.append("\"orderId\":").append(orderId).append(','); + sb.append("\"clientOrderId\":").append(clientOrderId).append(','); + sb.append("\"symbol\":\"").append(symbol).append("\","); + sb.append("\"side\":\"").append(side.name()).append("\","); + sb.append("\"price\":").append(price.ticks()).append(','); + sb.append("\"priceDisplay\":").append(price.toDouble()).append(','); + sb.append("\"quantity\":").append(quantity).append(','); + sb.append("\"timestamp\":").append(timestamp); + sb.append('}'); + return sb.toString(); + } +} diff --git a/src/main/java/fish/payara/trader/matching/model/Order.java b/src/main/java/fish/payara/trader/matching/model/Order.java new file mode 100644 index 0000000..dd85868 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/Order.java @@ -0,0 +1,23 @@ +package fish.payara.trader.matching.model; + +public record Order(long orderId, long clientOrderId, String symbol, Side side, OrderType type, OrderStatus status, Price price, long quantity, long leavesQty, + long cumQty, Price stopPrice, TimeInForce timeInForce, long displayQuantity, Price trailingStopOffset, Price trailingStopReference, + long createdTimestamp, long updatedTimestamp) { + + public Order withStatus(OrderStatus newStatus) { + return new Order(orderId, clientOrderId, symbol, side, type, newStatus, price, quantity, leavesQty, cumQty, stopPrice, timeInForce, displayQuantity, + trailingStopOffset, trailingStopReference, createdTimestamp, System.currentTimeMillis()); + } + + public Order filled(long fillQty) { + long newCumQty = cumQty + fillQty; + long newLeavesQty = leavesQty - fillQty; + OrderStatus newStatus = newLeavesQty <= 0 ? OrderStatus.FILLED : OrderStatus.PARTIALLY_FILLED; + return new Order(orderId, clientOrderId, symbol, side, type, newStatus, price, quantity, Math.max(0, newLeavesQty), newCumQty, stopPrice, timeInForce, + displayQuantity, trailingStopOffset, trailingStopReference, createdTimestamp, System.currentTimeMillis()); + } + + public boolean isTerminal() { + return status == OrderStatus.FILLED || status == OrderStatus.CANCELED || status == OrderStatus.REJECTED; + } +} diff --git a/src/main/java/fish/payara/trader/matching/model/OrderBookEntry.java b/src/main/java/fish/payara/trader/matching/model/OrderBookEntry.java new file mode 100644 index 0000000..41e4813 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/OrderBookEntry.java @@ -0,0 +1,14 @@ +package fish.payara.trader.matching.model; + +public record OrderBookEntry(Order order, long entryTimestamp) { + + public OrderBookEntry filledBy(long fillQty) { + long remaining = Math.max(0, order.leavesQty() - fillQty); + Order updatedOrder = order.filled(fillQty); + return new OrderBookEntry(updatedOrder, entryTimestamp); + } + + public long remainingQty() { + return order.leavesQty(); + } +} diff --git a/src/main/java/fish/payara/trader/matching/model/OrderBookLevel.java b/src/main/java/fish/payara/trader/matching/model/OrderBookLevel.java new file mode 100644 index 0000000..0e8c677 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/OrderBookLevel.java @@ -0,0 +1,21 @@ +package fish.payara.trader.matching.model; + +import jakarta.json.bind.annotation.JsonbTransient; + +public record OrderBookLevel(@JsonbTransient Price price, double priceDisplay, long quantity, int orderCount) { + + public OrderBookLevel(Price price, long quantity, int orderCount) { + this(price, price.toDouble(), quantity, orderCount); + } + + public String toJson() { + StringBuilder sb = new StringBuilder(128); + sb.append('{'); + sb.append("\"price\":").append(price.ticks()).append(','); + sb.append("\"priceDisplay\":").append(priceDisplay).append(','); + sb.append("\"quantity\":").append(quantity).append(','); + sb.append("\"orderCount\":").append(orderCount); + sb.append('}'); + return sb.toString(); + } +} diff --git a/src/main/java/fish/payara/trader/matching/model/OrderBookSnapshot.java b/src/main/java/fish/payara/trader/matching/model/OrderBookSnapshot.java new file mode 100644 index 0000000..49f13af --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/OrderBookSnapshot.java @@ -0,0 +1,34 @@ +package fish.payara.trader.matching.model; + +import java.util.List; + +public record OrderBookSnapshot(String symbol, long timestamp, List bids, List asks, int totalBidDepth, int totalAskDepth) { + + public String toJson() { + StringBuilder sb = new StringBuilder(2048); + sb.append('{'); + sb.append("\"symbol\":\"").append(symbol).append("\","); + sb.append("\"timestamp\":").append(timestamp).append(','); + sb.append("\"totalBidDepth\":").append(totalBidDepth).append(','); + sb.append("\"totalAskDepth\":").append(totalAskDepth).append(','); + + sb.append("\"bids\":["); + for (int i = 0; i < bids.size(); i++) { + if (i > 0) + sb.append(','); + sb.append(bids.get(i).toJson()); + } + sb.append("],"); + + sb.append("\"asks\":["); + for (int i = 0; i < asks.size(); i++) { + if (i > 0) + sb.append(','); + sb.append(asks.get(i).toJson()); + } + sb.append("]"); + + sb.append('}'); + return sb.toString(); + } +} diff --git a/src/main/java/fish/payara/trader/matching/model/OrderRequest.java b/src/main/java/fish/payara/trader/matching/model/OrderRequest.java new file mode 100644 index 0000000..17c916e --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/OrderRequest.java @@ -0,0 +1,5 @@ +package fish.payara.trader.matching.model; + +public record OrderRequest(String symbol, Side side, OrderType type, Double price, Long quantity, Double stopPrice, TimeInForce timeInForce, + Long displayQuantity, Double trailingStopOffset) { +} diff --git a/src/main/java/fish/payara/trader/matching/model/OrderStatus.java b/src/main/java/fish/payara/trader/matching/model/OrderStatus.java new file mode 100644 index 0000000..38e6c47 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/OrderStatus.java @@ -0,0 +1,5 @@ +package fish.payara.trader.matching.model; + +public enum OrderStatus { + NEW, PARTIALLY_FILLED, FILLED, CANCELED, REJECTED, PENDING_TRIGGER, SUSPENDED +} diff --git a/src/main/java/fish/payara/trader/matching/model/OrderType.java b/src/main/java/fish/payara/trader/matching/model/OrderType.java new file mode 100644 index 0000000..2ad9fef --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/OrderType.java @@ -0,0 +1,5 @@ +package fish.payara.trader.matching.model; + +public enum OrderType { + MARKET, LIMIT, STOP, STOP_LIMIT, ICEBERG, TRAILING_STOP +} diff --git a/src/main/java/fish/payara/trader/matching/model/Position.java b/src/main/java/fish/payara/trader/matching/model/Position.java new file mode 100644 index 0000000..547f923 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/Position.java @@ -0,0 +1,25 @@ +package fish.payara.trader.matching.model; + +import jakarta.json.bind.annotation.JsonbTransient; + +public record Position(String symbol, long netQuantity, @JsonbTransient Price averageEntryPrice, long realizedPnlTicks, @JsonbTransient Price markPrice, + long unrealizedPnlTicks) { + + public double getAverageEntryPrice() { + return averageEntryPrice.toDouble(); + } + + public double getMarkPrice() { + return markPrice.toDouble(); + } + + @JsonbTransient + public double notionalValue(double markPrice) { + return netQuantity * markPrice; + } + + @JsonbTransient + public boolean isFlat() { + return netQuantity == 0; + } +} diff --git a/src/main/java/fish/payara/trader/matching/model/Price.java b/src/main/java/fish/payara/trader/matching/model/Price.java new file mode 100644 index 0000000..4145fe1 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/Price.java @@ -0,0 +1,50 @@ +package fish.payara.trader.matching.model; + +import jakarta.json.bind.annotation.JsonbTransient; + +public record Price(long ticks) implements Comparable { + + public static final int SCALE = 10_000; + + public double toDouble() { + return ticks / (double) SCALE; + } + + public static Price fromDouble(double value) { + return new Price(Math.round(value * SCALE)); + } + + public static final Price ZERO = new Price(0); + + public Price add(Price other) { + return new Price(ticks + other.ticks); + } + + public Price subtract(Price other) { + return new Price(ticks - other.ticks); + } + + public Price multiply(long factor) { + return new Price(ticks * factor); + } + + @Override + public int compareTo(Price other) { + return Long.compare(ticks, other.ticks); + } + + @JsonbTransient + public boolean isZero() { + return ticks == 0; + } + + @JsonbTransient + public boolean isPositive() { + return ticks > 0; + } + + @JsonbTransient + public boolean isNegative() { + return ticks < 0; + } +} diff --git a/src/main/java/fish/payara/trader/matching/model/Side.java b/src/main/java/fish/payara/trader/matching/model/Side.java new file mode 100644 index 0000000..a724006 --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/Side.java @@ -0,0 +1,23 @@ +package fish.payara.trader.matching.model; + +public enum Side { + + BUY(0), SELL(1); + + private final int code; + + Side(int code) { + this.code = code; + } + + public int code() { + return code; + } + + public Side opposite() { + return switch (this) { + case BUY -> SELL; + case SELL -> BUY; + }; + } +} diff --git a/src/main/java/fish/payara/trader/matching/model/TimeInForce.java b/src/main/java/fish/payara/trader/matching/model/TimeInForce.java new file mode 100644 index 0000000..348058f --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/model/TimeInForce.java @@ -0,0 +1,5 @@ +package fish.payara.trader.matching.model; + +public enum TimeInForce { + DAY, GTC, IOC, FOK, GTX +} diff --git a/src/main/java/fish/payara/trader/matching/position/PnlCalculator.java b/src/main/java/fish/payara/trader/matching/position/PnlCalculator.java new file mode 100644 index 0000000..0ca27df --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/position/PnlCalculator.java @@ -0,0 +1,68 @@ +package fish.payara.trader.matching.position; + +import fish.payara.trader.matching.model.Position; +import fish.payara.trader.matching.model.Price; + +/** + * Static utility methods for P&L and average entry price calculations. All prices in fixed-point ticks (multiply by 10000 for decimal). + */ +public final class PnlCalculator { + + private PnlCalculator() { + } + + /** + * Calculates realized P&L when closing a position. Positive return = profit, negative = loss. + */ + public static long calculateRealizedPnl(Position position, Price closePrice, long closeQty) { + long currentNetQty = position.netQuantity(); + Price entryPrice = position.averageEntryPrice(); + + if (entryPrice.isZero() || closeQty == 0) { + return 0; + } + + if (currentNetQty > 0) { + return (closePrice.ticks() - entryPrice.ticks()) * closeQty; + } else { + return (entryPrice.ticks() - closePrice.ticks()) * closeQty; + } + } + + /** + * Calculates unrealized P&L at the given mark price. + */ + public static long calculateUnrealizedPnl(Position position, Price markPrice) { + long netQty = position.netQuantity(); + + if (netQty == 0 || position.averageEntryPrice().isZero()) { + return 0; + } + + if (netQty > 0) { + return (markPrice.ticks() - position.averageEntryPrice().ticks()) * netQty; + } else { + return (position.averageEntryPrice().ticks() - markPrice.ticks()) * Math.abs(netQty); + } + } + + /** + * Recalculates the volume-weighted average entry price after a new fill. + */ + public static Price calculateAverageEntryPrice(Position position, Price newFillPrice, long newFillQty, long currentNetQty) { + if (newFillQty <= 0 || newFillPrice.isZero()) { + return position.averageEntryPrice(); + } + + long absCurrent = Math.abs(currentNetQty); + long totalQty = absCurrent + newFillQty; + + if (absCurrent == 0) { + return newFillPrice; + } + + long weightedSum = position.averageEntryPrice().ticks() * absCurrent + newFillPrice.ticks() * newFillQty; + + return new Price(weightedSum / totalQty); + } +} diff --git a/src/main/java/fish/payara/trader/matching/position/PositionService.java b/src/main/java/fish/payara/trader/matching/position/PositionService.java new file mode 100644 index 0000000..630dc5b --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/position/PositionService.java @@ -0,0 +1,94 @@ +package fish.payara.trader.matching.position; + +import fish.payara.trader.matching.model.Execution; +import fish.payara.trader.matching.model.Position; +import fish.payara.trader.matching.model.Price; +import fish.payara.trader.matching.model.Side; + +import jakarta.enterprise.context.ApplicationScoped; +import java.util.Map; +import java.util.concurrent.ConcurrentHashMap; +import java.util.logging.Logger; + +@ApplicationScoped +public class PositionService { + + private static final Logger LOGGER = Logger.getLogger(PositionService.class.getName()); + + private final ConcurrentHashMap positions = new ConcurrentHashMap<>(); + + public void updatePosition(Execution execution) { + positions.compute(execution.symbol(), (symbol, current) -> { + Position pos = current != null ? current : emptyPosition(symbol); + + long newNetQty; + Price newAvgPrice; + long newRealizedPnl; + + if (execution.side() == Side.BUY) { + if (pos.netQuantity() >= 0) { + newAvgPrice = PnlCalculator.calculateAverageEntryPrice(pos, execution.price(), execution.quantity(), pos.netQuantity()); + newNetQty = pos.netQuantity() + execution.quantity(); + newRealizedPnl = pos.realizedPnlTicks(); + } else { + long closingQty = Math.min(execution.quantity(), Math.abs(pos.netQuantity())); + newRealizedPnl = PnlCalculator.calculateRealizedPnl(pos, execution.price(), closingQty); + long remainingClose = execution.quantity() - closingQty; + if (remainingClose > 0) { + newAvgPrice = execution.price(); + newNetQty = remainingClose; + } else { + newAvgPrice = closingQty == Math.abs(pos.netQuantity()) ? Price.ZERO : pos.averageEntryPrice(); + newNetQty = pos.netQuantity() + execution.quantity(); + } + newRealizedPnl += pos.realizedPnlTicks(); + } + } else { + if (pos.netQuantity() <= 0) { + newAvgPrice = PnlCalculator.calculateAverageEntryPrice(pos, execution.price(), execution.quantity(), Math.abs(pos.netQuantity())); + newNetQty = pos.netQuantity() - execution.quantity(); + newRealizedPnl = pos.realizedPnlTicks(); + } else { + long closingQty = Math.min(execution.quantity(), pos.netQuantity()); + newRealizedPnl = PnlCalculator.calculateRealizedPnl(pos, execution.price(), closingQty); + long remainingClose = execution.quantity() - closingQty; + if (remainingClose > 0) { + newAvgPrice = execution.price(); + newNetQty = -remainingClose; + } else { + newAvgPrice = closingQty == pos.netQuantity() ? Price.ZERO : pos.averageEntryPrice(); + newNetQty = pos.netQuantity() - execution.quantity(); + } + newRealizedPnl += pos.realizedPnlTicks(); + } + } + + return new Position(symbol, newNetQty, newAvgPrice, newRealizedPnl, pos.markPrice(), 0); + }); + } + + public void updateMarkPrice(String symbol, Price price) { + positions.compute(symbol, (key, current) -> { + Position pos = current != null ? current : emptyPosition(symbol); + long unrealizedPnl = PnlCalculator.calculateUnrealizedPnl(pos, price); + return new Position(symbol, pos.netQuantity(), pos.averageEntryPrice(), pos.realizedPnlTicks(), price, unrealizedPnl); + }); + } + + public Position getPosition(String symbol) { + return positions.getOrDefault(symbol, emptyPosition(symbol)); + } + + public Map getAllPositions() { + return Map.copyOf(positions); + } + + public void reset() { + positions.clear(); + LOGGER.info("All positions reset"); + } + + private Position emptyPosition(String symbol) { + return new Position(symbol, 0, Price.ZERO, 0, Price.ZERO, 0); + } +} diff --git a/src/main/java/fish/payara/trader/matching/websocket/ExecutionBroadcaster.java b/src/main/java/fish/payara/trader/matching/websocket/ExecutionBroadcaster.java new file mode 100644 index 0000000..cced95a --- /dev/null +++ b/src/main/java/fish/payara/trader/matching/websocket/ExecutionBroadcaster.java @@ -0,0 +1,108 @@ +package fish.payara.trader.matching.websocket; + +import com.hazelcast.core.HazelcastInstance; +import com.hazelcast.topic.ITopic; +import jakarta.annotation.PostConstruct; +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import jakarta.websocket.Session; +import java.util.Set; +import java.util.concurrent.ConcurrentHashMap; +import java.util.logging.Level; +import java.util.logging.Logger; + +/** + * Broadcaster for execution WebSocket messages. Follows the same Hazelcast topic pattern as MarketDataBroadcaster. + */ +@ApplicationScoped +public class ExecutionBroadcaster { + + private static final Logger LOGGER = Logger.getLogger(ExecutionBroadcaster.class.getName()); + private static final String TOPIC_NAME = "execution-broadcast"; + + private final Set sessions = ConcurrentHashMap.newKeySet(); + + @Inject + private HazelcastInstance hazelcastInstance; + + private ITopic clusterTopic; + + private long messagesSent = 0; + private long lastStatsTime = System.currentTimeMillis(); + + @PostConstruct + public void init() { + try { + if (hazelcastInstance != null) { + clusterTopic = hazelcastInstance.getTopic(TOPIC_NAME); + clusterTopic.addMessageListener(message -> { + broadcastLocal(message.getMessageObject()); + }); + LOGGER.info("ExecutionBroadcaster subscribed to Hazelcast topic: " + TOPIC_NAME); + } else { + LOGGER.info("Hazelcast not available - ExecutionBroadcaster running in standalone mode"); + } + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Failed to initialize ExecutionBroadcaster Hazelcast topic", e); + } + } + + public void addSession(Session session) { + sessions.add(session); + LOGGER.info("Execution WebSocket session added. Total: " + sessions.size()); + } + + public void removeSession(Session session) { + sessions.remove(session); + LOGGER.info("Execution WebSocket session removed. Total: " + sessions.size()); + } + + public void broadcast(String jsonMessage) { + if (clusterTopic != null) { + try { + clusterTopic.publish(jsonMessage); + } catch (Exception e) { + LOGGER.log(Level.SEVERE, "Failed to publish execution to Hazelcast topic", e); + broadcastLocal(jsonMessage); + } + } else { + broadcastLocal(jsonMessage); + } + } + + private void broadcastLocal(String jsonMessage) { + if (sessions.isEmpty()) { + return; + } + + sessions.removeIf(session -> { + if (!session.isOpen()) { + return true; + } + try { + session.getAsyncRemote().sendText(jsonMessage); + return false; + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to send execution message", e); + return true; + } + }); + + messagesSent++; + logStatistics(); + } + + public int getSessionCount() { + return sessions.size(); + } + + private void logStatistics() { + long now = System.currentTimeMillis(); + if (now - lastStatsTime > 10000) { + LOGGER.info(String.format("Execution WebSocket Stats - Sessions: %d, Messages: %,d (%.1f msg/sec)", sessions.size(), messagesSent, + messagesSent / ((now - lastStatsTime) / 1000.0))); + lastStatsTime = now; + messagesSent = 0; + } + } +} diff --git a/src/main/java/fish/payara/trader/portfolio/PortfolioService.java b/src/main/java/fish/payara/trader/portfolio/PortfolioService.java new file mode 100644 index 0000000..d8ff9ef --- /dev/null +++ b/src/main/java/fish/payara/trader/portfolio/PortfolioService.java @@ -0,0 +1,268 @@ +package fish.payara.trader.portfolio; + +import fish.payara.trader.analysis.BarAggregator; +import fish.payara.trader.portfolio.model.PerformanceMetrics; +import fish.payara.trader.portfolio.model.PortfolioSnapshot; +import fish.payara.trader.portfolio.model.RebalancePlan; +import fish.payara.trader.risk.PositionTracker; +import fish.payara.trader.risk.model.Position; +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import java.util.LinkedHashMap; +import java.util.LinkedList; +import java.util.Map; +import java.util.logging.Logger; +import org.eclipse.microprofile.config.inject.ConfigProperty; +import org.ta4j.core.BarSeries; + +/** + * Portfolio management service. Tracks NAV history, computes performance metrics (Sharpe ratio, max drawdown, win rate), and generates rebalance plans. + */ +@ApplicationScoped +public class PortfolioService { + + private static final Logger LOGGER = Logger.getLogger(PortfolioService.class.getName()); + + @Inject + private PositionTracker positionTracker; + + @Inject + private BarAggregator barAggregator; + + @Inject + @ConfigProperty(name = "portfolio.initial.capital", defaultValue = "1000000") + private double initialCapital; + + @Inject + @ConfigProperty(name = "portfolio.risk.free.rate", defaultValue = "0.02") + private double riskFreeRate; + + private final LinkedList navHistory = new LinkedList<>(); + private double cashBalance; + private double lastNav; + + @jakarta.annotation.PostConstruct + public void init() { + cashBalance = initialCapital; + lastNav = initialCapital; + navHistory.add(initialCapital); + LOGGER.info("PortfolioService initialized with capital: %.2f".formatted(initialCapital)); + } + + /** + * Computes performance metrics from position history and NAV series. + */ + public PerformanceMetrics calculateMetrics() { + Map allPositions = positionTracker.getAllPositions(); + + double totalPnl = 0.0; + double realizedPnl = 0.0; + double unrealizedPnl = 0.0; + long totalTrades = 0; + long winningTrades = 0; + long losingTrades = 0; + + for (Map.Entry entry : allPositions.entrySet()) { + Position pos = entry.getValue(); + realizedPnl += pos.realizedPnl(); + double price = getLastPrice(entry.getKey()); + unrealizedPnl += pos.unrealizedPnl(price); + totalTrades += pos.tradeCount(); + + if (pos.realizedPnl() > 0) { + winningTrades += pos.tradeCount(); + } else if (pos.realizedPnl() < 0) { + losingTrades += pos.tradeCount(); + } + } + + totalPnl = realizedPnl + unrealizedPnl; + double winRate = totalTrades > 0 ? (double) winningTrades / totalTrades : 0.0; + + double sharpe = computeSharpeRatio(); + double[] drawdown = computeMaxDrawdown(); + + return new PerformanceMetrics(totalPnl, realizedPnl, unrealizedPnl, sharpe, drawdown[0], drawdown[1], winRate, totalTrades, winningTrades, + losingTrades); + } + + /** + * Returns a snapshot of the current portfolio state. + */ + public PortfolioSnapshot getSnapshot() { + double positionsValue = computePositionsValue(); + double totalValue = cashBalance + positionsValue; + double marginUsed = positionsValue * 0.5; + double marginAvailable = Math.max(0, totalValue - marginUsed); + + int numPositions = positionTracker.getAllPositions().size(); + + // Record NAV for performance metrics (Sharpe ratio, max drawdown) + if (navHistory.isEmpty() || Math.abs(totalValue - navHistory.getLast()) > 0.01) { + navHistory.add(totalValue); + if (navHistory.size() > 5000) { + navHistory.removeFirst(); + } + lastNav = totalValue; + } + + double dailyPnl = 0.0; + if (navHistory.size() >= 2) { + double prevNav = navHistory.get(navHistory.size() - 2); + dailyPnl = totalValue - prevNav; + } + + double totalPnl = totalValue - initialCapital; + + return new PortfolioSnapshot(System.currentTimeMillis(), totalValue, cashBalance, marginAvailable, marginUsed, numPositions, dailyPnl, totalPnl); + } + + /** + * Generates a rebalance plan comparing current position weights to target weights. Actions indicate BUY, SELL, or HOLD for each symbol. + */ + public RebalancePlan generateRebalancePlan(Map targetWeights) { + Map currentWeights = computeCurrentWeights(); + Map actions = new LinkedHashMap<>(); + double totalValue = computePositionsValue() + cashBalance; + + if (totalValue <= 0) { + for (String symbol : targetWeights.keySet()) { + actions.put(symbol, "HOLD"); + } + return new RebalancePlan(System.currentTimeMillis(), targetWeights, actions); + } + + for (Map.Entry entry : targetWeights.entrySet()) { + String symbol = entry.getKey(); + double targetWeight = entry.getValue(); + double currentWeight = currentWeights.getOrDefault(symbol, 0.0); + double diff = targetWeight - currentWeight; + + if (Math.abs(diff) < 0.01) { + actions.put(symbol, "HOLD"); + } else if (diff > 0) { + actions.put(symbol, "BUY %.1f%%".formatted(diff * 100)); + } else { + actions.put(symbol, "SELL %.1f%%".formatted(Math.abs(diff) * 100)); + } + } + + for (String symbol : currentWeights.keySet()) { + if (!targetWeights.containsKey(symbol) && currentWeights.get(symbol) > 0.01) { + actions.put(symbol, "CLOSE"); + } + } + + return new RebalancePlan(System.currentTimeMillis(), targetWeights, actions); + } + + /** + * Clears all portfolio state. + */ + public void reset() { + navHistory.clear(); + cashBalance = initialCapital; + lastNav = initialCapital; + navHistory.add(initialCapital); + positionTracker.reset(); + LOGGER.info("PortfolioService reset"); + } + + private double computePositionsValue() { + double value = 0.0; + Map allPositions = positionTracker.getAllPositions(); + for (Map.Entry entry : allPositions.entrySet()) { + value += entry.getValue().notionalValue(getLastPrice(entry.getKey())); + } + return value; + } + + private Map computeCurrentWeights() { + Map weights = new LinkedHashMap<>(); + Map allPositions = positionTracker.getAllPositions(); + double totalValue = computePositionsValue(); + + if (totalValue <= 0) { + return weights; + } + + for (Map.Entry entry : allPositions.entrySet()) { + double notional = entry.getValue().notionalValue(getLastPrice(entry.getKey())); + weights.put(entry.getKey(), notional / totalValue); + } + + return weights; + } + + private double computeSharpeRatio() { + if (navHistory.size() < 3) { + return 0.0; + } + + LinkedList returns = new LinkedList<>(); + for (int i = 1; i < navHistory.size(); i++) { + double prev = navHistory.get(i - 1); + if (prev > 0) { + returns.add((navHistory.get(i) - prev) / prev); + } + } + + if (returns.isEmpty()) { + return 0.0; + } + + double mean = returns.stream().mapToDouble(Double::doubleValue).average().orElse(0.0); + double variance = returns.stream().mapToDouble(r -> (r - mean) * (r - mean)).average().orElse(0.0); + double stddev = Math.sqrt(variance); + + if (stddev == 0.0) { + return 0.0; + } + + double dailyRiskFree = riskFreeRate / 252.0; + double annualizedReturn = (mean - dailyRiskFree) / stddev * Math.sqrt(252.0); + + return annualizedReturn; + } + + /** + * Returns [maxDrawdown, maxDrawdownDurationSeconds]. + */ + private double[] computeMaxDrawdown() { + if (navHistory.size() < 2) { + return new double[]{0.0, 0.0}; + } + + double peak = navHistory.getFirst(); + double maxDrawdown = 0.0; + int drawdownStart = 0; + int maxDuration = 0; + + for (int i = 1; i < navHistory.size(); i++) { + double nav = navHistory.get(i); + if (nav > peak) { + peak = nav; + drawdownStart = i; + } + double drawdown = (peak - nav) / peak; + if (drawdown > maxDrawdown) { + maxDrawdown = drawdown; + } + int duration = i - drawdownStart; + if (duration > maxDuration) { + maxDuration = duration; + } + } + + double durationSeconds = maxDuration * 60.0; + return new double[]{maxDrawdown, durationSeconds}; + } + + private double getLastPrice(String symbol) { + BarSeries series = barAggregator.getSeries(symbol); + if (series.isEmpty()) { + return 0.0; + } + return series.getLastBar().getClosePrice().doubleValue(); + } +} diff --git a/src/main/java/fish/payara/trader/portfolio/model/PerformanceMetrics.java b/src/main/java/fish/payara/trader/portfolio/model/PerformanceMetrics.java new file mode 100644 index 0000000..bcf0208 --- /dev/null +++ b/src/main/java/fish/payara/trader/portfolio/model/PerformanceMetrics.java @@ -0,0 +1,8 @@ +package fish.payara.trader.portfolio.model; + +/** + * Computed performance metrics for the portfolio. + */ +public record PerformanceMetrics(double totalPnl, double realizedPnl, double unrealizedPnl, double sharpeRatio, double maxDrawdown, + double maxDrawdownDurationSeconds, double winRate, long totalTrades, long winningTrades, long losingTrades) { +} diff --git a/src/main/java/fish/payara/trader/portfolio/model/PortfolioSnapshot.java b/src/main/java/fish/payara/trader/portfolio/model/PortfolioSnapshot.java new file mode 100644 index 0000000..0db547d --- /dev/null +++ b/src/main/java/fish/payara/trader/portfolio/model/PortfolioSnapshot.java @@ -0,0 +1,8 @@ +package fish.payara.trader.portfolio.model; + +/** + * Point-in-time snapshot of portfolio state. + */ +public record PortfolioSnapshot(long timestamp, double totalValue, double cashBalance, double marginAvailable, double marginUsed, int numPositions, + double dailyPnl, double totalPnl) { +} diff --git a/src/main/java/fish/payara/trader/portfolio/model/RebalancePlan.java b/src/main/java/fish/payara/trader/portfolio/model/RebalancePlan.java new file mode 100644 index 0000000..47b2a29 --- /dev/null +++ b/src/main/java/fish/payara/trader/portfolio/model/RebalancePlan.java @@ -0,0 +1,9 @@ +package fish.payara.trader.portfolio.model; + +import java.util.Map; + +/** + * Rebalance plan comparing current weights to target weights with actions. + */ +public record RebalancePlan(long timestamp, Map targetWeights, Map actions) { +} diff --git a/src/main/java/fish/payara/trader/pressure/AllocationMode.java b/src/main/java/fish/payara/trader/pressure/AllocationMode.java index 62f4a7c..91f7711 100644 --- a/src/main/java/fish/payara/trader/pressure/AllocationMode.java +++ b/src/main/java/fish/payara/trader/pressure/AllocationMode.java @@ -1,44 +1,65 @@ package fish.payara.trader.pressure; public enum AllocationMode { - OFF(0, 0, 0, ScenarioType.NONE, "No allocation"), + OFF(0, 0, 0, ScenarioType.NONE, WorkloadType.NONE, "No allocation"), STEADY_LOAD(200, // MB/sec allocation rate 512, // MB live set size 0, // No growth - ScenarioType.STEADY, "Steady 200 MB/sec allocation, 512 MB live set - Tests baseline GC behavior"), + ScenarioType.STEADY, WorkloadType.NONE, "Steady 200 MB/sec allocation, 512 MB live set - Tests baseline GC behavior"), GROWING_HEAP(150, // MB/sec allocation rate 2048, // MB target live set 60, // seconds to reach target - ScenarioType.GROWING, "Growing live set 100 MB -> 2 GB over 60s - Tests mixed collection scaling"), + ScenarioType.GROWING, WorkloadType.NONE, "Growing live set 100 MB -> 2 GB over 60s - Tests mixed collection scaling"), PROMOTION_STORM(300, // MB/sec allocation rate 1024, // MB live set 0, // No growth - ScenarioType.PROMOTION, "High promotion rate (50% survival) - Tests old gen collection efficiency"), + ScenarioType.PROMOTION, WorkloadType.NONE, "High promotion rate (50% survival) - Tests old gen collection efficiency"), FRAGMENTATION(200, // MB/sec allocation rate 1024, // MB live set 0, // No growth - ScenarioType.FRAGMENTATION, "Small objects, random lifetimes - Tests compaction behavior"), + ScenarioType.FRAGMENTATION, WorkloadType.NONE, "Small objects, random lifetimes - Tests compaction behavior"), CROSS_GEN_REFS(150, // MB/sec allocation rate 800, // MB live set in old gen 0, // No growth - ScenarioType.CROSS_REF, "Many old->young references - Tests remembered set overhead"); + ScenarioType.CROSS_REF, WorkloadType.NONE, "Many old->young references - Tests remembered set overhead"), + + COMPRESSION_CPU(300, 1024, 0, ScenarioType.NONE, WorkloadType.COMPRESSION, "Gzip compress/decompress workload - Tests GC under CPU-intensive compression"), + + SERIALIZATION_CPU(250, 1024, 0, ScenarioType.NONE, WorkloadType.SERIALIZATION, + "Jakarta JSON serialization/deserialization - Tests GC under object graph materialization"), + + CRYPTO_CPU(200, 1024, 0, ScenarioType.NONE, WorkloadType.CRYPTO, "SHA-256, HMAC-SHA256, AES-GCM encrypt/decrypt - Tests GC under cryptographic operations"), + + COLLECTION_CPU(300, 1024, 0, ScenarioType.NONE, WorkloadType.COLLECTION, "HashMap/TreeMap insert/lookup/remove - Tests GC under collection churn"), + + STRING_CPU(350, 1024, 0, ScenarioType.NONE, WorkloadType.STRING, + "Regex, substring, StringBuilder, String.intern - Tests GC under string interning pressure"), + + TRADING_MATCHING(400, 512, 0, ScenarioType.NONE, WorkloadType.TRADING_MATCHING, + "High-frequency order matching - Tests GC under Order/Execution object churn with matching engine"), + + TECHNICAL_ANALYSIS(300, 256, 0, ScenarioType.NONE, WorkloadType.TECHNICAL_ANALYSIS, + "Continuous ta4j indicator computation - Tests GC under indicator object allocation (SMA, EMA, RSI, MACD, Bollinger, ATR)"); private final int allocationRateMBPerSec; private final int liveSetSizeMB; private final int growthDurationSeconds; private final ScenarioType scenarioType; + private final WorkloadType workloadType; private final String description; - AllocationMode(int allocationRateMBPerSec, int liveSetSizeMB, int growthDurationSeconds, ScenarioType scenarioType, String description) { + AllocationMode(int allocationRateMBPerSec, int liveSetSizeMB, int growthDurationSeconds, ScenarioType scenarioType, WorkloadType workloadType, + String description) { this.allocationRateMBPerSec = allocationRateMBPerSec; this.liveSetSizeMB = liveSetSizeMB; this.growthDurationSeconds = growthDurationSeconds; this.scenarioType = scenarioType; + this.workloadType = workloadType; this.description = description; } @@ -58,6 +79,10 @@ public ScenarioType getScenarioType() { return scenarioType; } + public WorkloadType getWorkloadType() { + return workloadType; + } + public String getDescription() { return description; } diff --git a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java index 7c4d4f1..e80357f 100644 --- a/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java +++ b/src/main/java/fish/payara/trader/pressure/MemoryPressureService.java @@ -1,6 +1,7 @@ package fish.payara.trader.pressure; import fish.payara.trader.concurrency.VirtualThreadExecutor; +import fish.payara.trader.pressure.workload.*; import jakarta.annotation.PostConstruct; import jakarta.annotation.PreDestroy; import jakarta.enterprise.concurrent.ManagedExecutorService; @@ -62,6 +63,30 @@ private static class RefHolder { @VirtualThreadExecutor private ManagedExecutorService executorService; + // CPU workloads + @Inject + private CompressionWorkload compressionWorkload; + + @Inject + private SerializationWorkload serializationWorkload; + + @Inject + private CryptoWorkload cryptoWorkload; + + @Inject + private CollectionWorkload collectionWorkload; + + @Inject + private StringWorkload stringWorkload; + + @Inject + private TradingMatchingWorkload tradingMatchingWorkload; + + @Inject + private TechnicalAnalysisWorkload technicalAnalysisWorkload; + + private WorkloadConfig workloadConfig = new WorkloadConfig(); + @PostConstruct public void init() { LOGGER.info("MemoryPressureService initialized"); @@ -148,6 +173,13 @@ private synchronized void stopPressure() { } private void generateGarbage(AllocationMode mode) { + // First check if this is a CPU workload mode + if (mode.getWorkloadType() != WorkloadType.NONE) { + executeWorkload(mode); + return; + } + + // Otherwise handle scenario-based modes switch (mode.getScenarioType()) { case STEADY : executeSteadyLoadScenario(mode); @@ -169,6 +201,25 @@ private void generateGarbage(AllocationMode mode) { } } + private void executeWorkload(AllocationMode mode) { + AbstractCpuWorkload workload = switch (mode.getWorkloadType()) { + case COMPRESSION -> compressionWorkload; + case SERIALIZATION -> serializationWorkload; + case CRYPTO -> cryptoWorkload; + case COLLECTION -> collectionWorkload; + case STRING -> stringWorkload; + case TRADING_MATCHING -> tradingMatchingWorkload; + case TECHNICAL_ANALYSIS -> technicalAnalysisWorkload; + default -> null; + }; + + if (workload != null) { + workload.setConfig(workloadConfig); + workload.execute(workloadConfig.iterationsPerCycle()); + totalBytesAllocated.addAndGet(workload.bytesAllocated()); + } + } + private void executeSteadyLoadScenario(AllocationMode mode) { int targetMB = mode.getLiveSetSizeMB(); int rateMBPerSec = mode.getAllocationRateMBPerSec(); diff --git a/src/main/java/fish/payara/trader/pressure/Workload.java b/src/main/java/fish/payara/trader/pressure/Workload.java new file mode 100644 index 0000000..296cb61 --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/Workload.java @@ -0,0 +1,13 @@ +package fish.payara.trader.pressure; + +public interface Workload { + String name(); + + void execute(int iterations); + + long bytesAllocated(); + + long operationsCompleted(); + + void reset(); +} diff --git a/src/main/java/fish/payara/trader/pressure/WorkloadConfig.java b/src/main/java/fish/payara/trader/pressure/WorkloadConfig.java new file mode 100644 index 0000000..6b5fa45 --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/WorkloadConfig.java @@ -0,0 +1,20 @@ +package fish.payara.trader.pressure; + +public record WorkloadConfig(int payloadSizeBytes, int iterationsPerCycle, int threadsPerWorkload) { + + public WorkloadConfig() { + this(65536, 100, 4); + } + + public WorkloadConfig { + if (payloadSizeBytes < 1) { + throw new IllegalArgumentException("payloadSizeBytes must be positive"); + } + if (iterationsPerCycle < 1) { + throw new IllegalArgumentException("iterationsPerCycle must be positive"); + } + if (threadsPerWorkload < 1) { + throw new IllegalArgumentException("threadsPerWorkload must be positive"); + } + } +} diff --git a/src/main/java/fish/payara/trader/pressure/WorkloadResult.java b/src/main/java/fish/payara/trader/pressure/WorkloadResult.java new file mode 100644 index 0000000..3fb462f --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/WorkloadResult.java @@ -0,0 +1,11 @@ +package fish.payara.trader.pressure; + +public record WorkloadResult(String workloadName, long bytesAllocated, long operationsCompleted, long durationNanos, double opsPerSecond, double mbPerSecond) { + + public static WorkloadResult of(String workloadName, long bytesAllocated, long operationsCompleted, long durationNanos) { + double seconds = durationNanos / 1_000_000_000.0; + double opsPerSecond = seconds > 0 ? operationsCompleted / seconds : 0.0; + double mbPerSecond = seconds > 0 ? (bytesAllocated / (1024.0 * 1024.0)) / seconds : 0.0; + return new WorkloadResult(workloadName, bytesAllocated, operationsCompleted, durationNanos, opsPerSecond, mbPerSecond); + } +} diff --git a/src/main/java/fish/payara/trader/pressure/WorkloadType.java b/src/main/java/fish/payara/trader/pressure/WorkloadType.java new file mode 100644 index 0000000..6c307bb --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/WorkloadType.java @@ -0,0 +1,5 @@ +package fish.payara.trader.pressure; + +public enum WorkloadType { + NONE, COMPRESSION, SERIALIZATION, CRYPTO, COLLECTION, STRING, TRADING_MATCHING, TECHNICAL_ANALYSIS +} diff --git a/src/main/java/fish/payara/trader/pressure/workload/AbstractCpuWorkload.java b/src/main/java/fish/payara/trader/pressure/workload/AbstractCpuWorkload.java new file mode 100644 index 0000000..b8722e1 --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/workload/AbstractCpuWorkload.java @@ -0,0 +1,58 @@ +package fish.payara.trader.pressure.workload; + +import fish.payara.trader.concurrency.VirtualThreadExecutor; +import fish.payara.trader.pressure.Workload; +import fish.payara.trader.pressure.WorkloadConfig; +import jakarta.enterprise.concurrent.ManagedExecutorService; +import jakarta.inject.Inject; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.ThreadLocalRandom; +import java.util.concurrent.atomic.AtomicLong; + +public abstract class AbstractCpuWorkload implements Workload { + + protected final AtomicLong bytesAllocated = new AtomicLong(0); + protected final AtomicLong operationsCompleted = new AtomicLong(0); + protected WorkloadConfig config = new WorkloadConfig(); + + @Inject + @VirtualThreadExecutor + protected ManagedExecutorService executorService; + + protected void executeMultiThreaded(int totalWork, int numThreads, java.util.function.Consumer work) { + int workPerThread = totalWork / numThreads; + CompletableFuture[] futures = new CompletableFuture[numThreads]; + + for (int t = 0; t < numThreads; t++) { + futures[t] = CompletableFuture.runAsync(() -> { + ThreadLocalRandom rng = ThreadLocalRandom.current(); + int remaining = workPerThread; + while (remaining-- > 0) { + work.accept(rng); + } + }, executorService); + } + + CompletableFuture.allOf(futures).join(); + } + + @Override + public long bytesAllocated() { + return bytesAllocated.get(); + } + + @Override + public long operationsCompleted() { + return operationsCompleted.get(); + } + + @Override + public void reset() { + bytesAllocated.set(0); + operationsCompleted.set(0); + } + + public void setConfig(WorkloadConfig config) { + this.config = config; + } +} diff --git a/src/main/java/fish/payara/trader/pressure/workload/CollectionWorkload.java b/src/main/java/fish/payara/trader/pressure/workload/CollectionWorkload.java new file mode 100644 index 0000000..f08a0e1 --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/workload/CollectionWorkload.java @@ -0,0 +1,92 @@ +package fish.payara.trader.pressure.workload; + +import jakarta.enterprise.context.ApplicationScoped; +import java.util.HashMap; +import java.util.Map; +import java.util.TreeMap; +import java.util.concurrent.ThreadLocalRandom; + +@ApplicationScoped +public class CollectionWorkload extends AbstractCpuWorkload { + + private static final int ENTRY_COUNT = 10_000; + private static final int VALUE_SIZE = 256; + private static final long ESTIMATED_NODE_BYTES = 64L; + + @Override + public String name() { + return "COLLECTION"; + } + + @Override + public void execute(int iterations) { + int numThreads = config.threadsPerWorkload(); + executeMultiThreaded(iterations, numThreads, this::executeSingleIteration); + } + + private void executeSingleIteration(ThreadLocalRandom rng) { + executeHashMapOps(ENTRY_COUNT, rng); + executeTreeMapOps(ENTRY_COUNT, rng); + } + + void executeHashMapOps(int count, ThreadLocalRandom rng) { + Map map = new HashMap<>(count * 2); + + for (Map.Entry entry : generateRandomEntries(count, rng)) { + map.put(entry.getKey(), entry.getValue()); + } + bytesAllocated.addAndGet((long) count * ESTIMATED_NODE_BYTES); + + for (int i = 0; i < count; i++) { + map.get(rng.nextInt(count)); + } + + for (int i = 0; i < count / 2; i++) { + map.remove(rng.nextInt(count)); + } + + long sum = 0; + for (Map.Entry entry : map.entrySet()) { + sum += entry.getKey(); + } + + operationsCompleted.incrementAndGet(); + } + + void executeTreeMapOps(int count, ThreadLocalRandom rng) { + Map map = new TreeMap<>(); + + for (Map.Entry entry : generateRandomEntries(count, rng)) { + map.put(entry.getKey(), entry.getValue()); + } + bytesAllocated.addAndGet((long) count * (ESTIMATED_NODE_BYTES + 16L)); + + for (int i = 0; i < count; i++) { + map.get(rng.nextInt(count)); + } + + for (int i = 0; i < count / 2; i++) { + map.remove(rng.nextInt(count)); + } + + long sum = 0; + for (Map.Entry entry : map.entrySet()) { + sum += entry.getKey(); + } + + operationsCompleted.incrementAndGet(); + } + + Map.Entry[] generateRandomEntries(int count, ThreadLocalRandom rng) { + @SuppressWarnings("unchecked") + Map.Entry[] entries = new Map.Entry[count]; + for (int i = 0; i < count; i++) { + byte[] value = new byte[VALUE_SIZE]; + rng.nextBytes(value); + final int key = rng.nextInt(); + entries[i] = Map.entry(key, value); + bytesAllocated.addAndGet(value.length); + } + return entries; + } +} diff --git a/src/main/java/fish/payara/trader/pressure/workload/CompressionWorkload.java b/src/main/java/fish/payara/trader/pressure/workload/CompressionWorkload.java new file mode 100644 index 0000000..ff71454 --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/workload/CompressionWorkload.java @@ -0,0 +1,84 @@ +package fish.payara.trader.pressure.workload; + +import jakarta.enterprise.context.ApplicationScoped; +import java.io.ByteArrayInputStream; +import java.io.ByteArrayOutputStream; +import java.io.IOException; +import java.util.concurrent.ThreadLocalRandom; +import java.util.zip.Deflater; +import java.util.zip.GZIPInputStream; +import java.util.zip.GZIPOutputStream; + +@ApplicationScoped +public class CompressionWorkload extends AbstractCpuWorkload { + + @Override + public String name() { + return "COMPRESSION"; + } + + @Override + public void execute(int iterations) { + int numThreads = config.threadsPerWorkload(); + executeMultiThreaded(iterations, numThreads, this::executeSingleIteration); + } + + private void executeSingleIteration(ThreadLocalRandom rng) { + int size = config.payloadSizeBytes(); + byte[] payload = generatePayload(size, rng); + byte[] compressed = compress(payload); + byte[] recovered = decompress(compressed); + + verify(payload, recovered); + + bytesAllocated.addAndGet((long) payload.length + compressed.length + recovered.length); + operationsCompleted.incrementAndGet(); + } + + byte[] generatePayload(int size, ThreadLocalRandom rng) { + byte[] data = new byte[size]; + rng.nextBytes(data); + return data; + } + + byte[] compress(byte[] data) { + try (ByteArrayOutputStream bos = new ByteArrayOutputStream(data.length)) { + try (GZIPOutputStream gzip = new GZIPOutputStream(bos) { + { + def.setLevel(Deflater.BEST_COMPRESSION); + } + }) { + gzip.write(data); + } + return bos.toByteArray(); + } catch (IOException e) { + throw new RuntimeException("Compression failed", e); + } + } + + byte[] decompress(byte[] compressed) { + try (ByteArrayInputStream bis = new ByteArrayInputStream(compressed); + GZIPInputStream gzip = new GZIPInputStream(bis); + ByteArrayOutputStream bos = new ByteArrayOutputStream()) { + byte[] buffer = new byte[8192]; + int len; + while ((len = gzip.read(buffer)) != -1) { + bos.write(buffer, 0, len); + } + return bos.toByteArray(); + } catch (IOException e) { + throw new RuntimeException("Decompression failed", e); + } + } + + void verify(byte[] original, byte[] recovered) { + if (original.length != recovered.length) { + throw new AssertionError("Decompressed length mismatch: expected " + original.length + " got " + recovered.length); + } + for (int i = 0; i < original.length; i++) { + if (original[i] != recovered[i]) { + throw new AssertionError("Decompressed data mismatch at index " + i); + } + } + } +} diff --git a/src/main/java/fish/payara/trader/pressure/workload/CryptoWorkload.java b/src/main/java/fish/payara/trader/pressure/workload/CryptoWorkload.java new file mode 100644 index 0000000..c29d201 --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/workload/CryptoWorkload.java @@ -0,0 +1,107 @@ +package fish.payara.trader.pressure.workload; + +import javax.crypto.Cipher; +import javax.crypto.Mac; +import javax.crypto.spec.GCMParameterSpec; +import javax.crypto.spec.SecretKeySpec; +import jakarta.enterprise.context.ApplicationScoped; +import java.security.MessageDigest; +import java.util.concurrent.ThreadLocalRandom; + +@ApplicationScoped +public class CryptoWorkload extends AbstractCpuWorkload { + + private static final int PAYLOAD_SIZE = 4096; + private static final String AES_ALGORITHM = "AES/GCM/NoPadding"; + private static final int GCM_IV_LENGTH = 12; + private static final int GCM_TAG_LENGTH = 128; + + @Override + public String name() { + return "CRYPTO"; + } + + @Override + public void execute(int iterations) { + int numThreads = config.threadsPerWorkload(); + executeMultiThreaded(iterations, numThreads, this::executeSingleIteration); + } + + private void executeSingleIteration(ThreadLocalRandom rng) { + byte[] key256 = new byte[32]; + byte[] key128 = new byte[16]; + rng.nextBytes(key256); + rng.nextBytes(key128); + + byte[] payload = new byte[PAYLOAD_SIZE]; + rng.nextBytes(payload); + + sha256Digest(payload); + bytesAllocated.addAndGet(32L); + operationsCompleted.incrementAndGet(); + + hmacSha256(key256, payload); + bytesAllocated.addAndGet(32L); + operationsCompleted.incrementAndGet(); + + byte[] iv = new byte[GCM_IV_LENGTH]; + rng.nextBytes(iv); + byte[] ciphertext = aesGcmEncrypt(key128, iv, payload); + bytesAllocated.addAndGet(ciphertext.length + 16L); + operationsCompleted.incrementAndGet(); + + byte[] recovered = aesGcmDecrypt(key128, iv, ciphertext); + bytesAllocated.addAndGet(recovered.length); + + if (payload.length != recovered.length) { + throw new AssertionError("AES-GCM round-trip length mismatch"); + } + for (int i = 0; i < payload.length; i++) { + if (payload[i] != recovered[i]) { + throw new AssertionError("AES-GCM round-trip data mismatch at index " + i); + } + } + operationsCompleted.incrementAndGet(); + } + + byte[] sha256Digest(byte[] data) { + try { + MessageDigest digest = MessageDigest.getInstance("SHA-256"); + return digest.digest(data); + } catch (Exception e) { + throw new RuntimeException("SHA-256 digest failed", e); + } + } + + byte[] hmacSha256(byte[] key, byte[] data) { + try { + Mac mac = Mac.getInstance("HmacSHA256"); + mac.init(new SecretKeySpec(key, "HmacSHA256")); + return mac.doFinal(data); + } catch (Exception e) { + throw new RuntimeException("HMAC-SHA256 failed", e); + } + } + + byte[] aesGcmEncrypt(byte[] key, byte[] iv, byte[] plaintext) { + try { + Cipher cipher = Cipher.getInstance(AES_ALGORITHM); + GCMParameterSpec spec = new GCMParameterSpec(GCM_TAG_LENGTH, iv); + cipher.init(Cipher.ENCRYPT_MODE, new SecretKeySpec(key, "AES"), spec); + return cipher.doFinal(plaintext); + } catch (Exception e) { + throw new RuntimeException("AES-GCM encrypt failed", e); + } + } + + byte[] aesGcmDecrypt(byte[] key, byte[] iv, byte[] ciphertext) { + try { + Cipher cipher = Cipher.getInstance(AES_ALGORITHM); + GCMParameterSpec spec = new GCMParameterSpec(GCM_TAG_LENGTH, iv); + cipher.init(Cipher.DECRYPT_MODE, new SecretKeySpec(key, "AES"), spec); + return cipher.doFinal(ciphertext); + } catch (Exception e) { + throw new RuntimeException("AES-GCM decrypt failed", e); + } + } +} diff --git a/src/main/java/fish/payara/trader/pressure/workload/SerializationWorkload.java b/src/main/java/fish/payara/trader/pressure/workload/SerializationWorkload.java new file mode 100644 index 0000000..d28719b --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/workload/SerializationWorkload.java @@ -0,0 +1,113 @@ +package fish.payara.trader.pressure.workload; + +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.json.Json; +import jakarta.json.JsonArrayBuilder; +import jakarta.json.JsonObject; +import jakarta.json.JsonObjectBuilder; +import jakarta.json.JsonReader; +import jakarta.json.JsonWriter; +import java.io.StringReader; +import java.io.StringWriter; +import java.util.concurrent.ThreadLocalRandom; + +@ApplicationScoped +public class SerializationWorkload extends AbstractCpuWorkload { + + @Override + public String name() { + return "SERIALIZATION"; + } + + @Override + public void execute(int iterations) { + int numThreads = config.threadsPerWorkload(); + executeMultiThreaded(iterations, numThreads, this::executeSingleIteration); + } + + private void executeSingleIteration(ThreadLocalRandom rng) { + JsonObject original = buildJsonDocument(rng); + + String json = serializeToString(original); + bytesAllocated.addAndGet(json.length() * 2L); + + JsonObject parsed = parseFromString(json); + + verify(original, parsed); + operationsCompleted.incrementAndGet(); + } + + private JsonObject buildJsonDocument(ThreadLocalRandom rng) { + JsonObjectBuilder builder = Json.createObjectBuilder(); + + builder.add("orderId", rng.nextLong(1_000_000_000L)); + builder.add("symbol", "SYM-" + rng.nextInt(1000)); + builder.add("side", rng.nextBoolean() ? "BUY" : "SELL"); + builder.add("quantity", rng.nextInt(1, 10_000)); + builder.add("price", rng.nextDouble(1.0, 1000.0)); + builder.add("timestamp", System.nanoTime()); + + JsonArrayBuilder tags = Json.createArrayBuilder(); + for (int i = 0; i < 5; i++) { + tags.add("tag-" + rng.nextInt(100)); + } + builder.add("tags", tags); + + JsonObjectBuilder metadata = Json.createObjectBuilder(); + metadata.add("exchange", "EXCH-" + rng.nextInt(10)); + metadata.add("currency", "USD"); + metadata.add("settlementDate", "2026-03-18"); + metadata.add("commission", rng.nextDouble(0.01, 5.0)); + builder.add("metadata", metadata); + + builder.add("execType", "FILL"); + builder.add("leavesQty", 0); + builder.add("cumQty", rng.nextInt(1, 10_000)); + builder.add("avgPrice", rng.nextDouble(1.0, 1000.0)); + builder.add("tradeId", rng.nextLong(1_000_000L)); + + JsonArrayBuilder allocations = Json.createArrayBuilder(); + for (int i = 0; i < 3; i++) { + allocations.add(Json.createObjectBuilder() + .add("account", "ACC-" + rng.nextInt(100)) + .add("allocQty", rng.nextInt(100, 5000)) + .add("allocPrice", rng.nextDouble(1.0, 1000.0))); + } + builder.add("allocations", allocations); + + builder.add("status", "ACCEPTED"); + builder.add("text", "Executed via matching engine v" + rng.nextInt(1, 10)); + builder.add("transactTime", System.nanoTime()); + builder.add("senderCompId", "SENDER-" + rng.nextInt(50)); + builder.add("targetCompId", "TARGET-" + rng.nextInt(50)); + builder.add("clOrdId", rng.nextLong(100_000L, 999_999L)); + builder.add("origClOrdId", rng.nextLong(100_000L, 999_999L)); + builder.add("minQty", rng.nextInt(1, 100)); + builder.add("maxFloor", rng.nextInt(100, 10_000)); + + return builder.build(); + } + + String serializeToString(JsonObject json) { + StringWriter writer = new StringWriter(); + try (JsonWriter jsonWriter = Json.createWriter(writer)) { + jsonWriter.writeObject(json); + } + return writer.toString(); + } + + JsonObject parseFromString(String json) { + try (JsonReader reader = Json.createReader(new StringReader(json))) { + return reader.readObject(); + } + } + + void verify(JsonObject original, JsonObject parsed) { + if (original.size() != parsed.size()) { + throw new AssertionError("Parsed JSON field count mismatch"); + } + if (!original.getString("symbol").equals(parsed.getString("symbol"))) { + throw new AssertionError("Symbol mismatch after round-trip"); + } + } +} diff --git a/src/main/java/fish/payara/trader/pressure/workload/StringWorkload.java b/src/main/java/fish/payara/trader/pressure/workload/StringWorkload.java new file mode 100644 index 0000000..2646b61 --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/workload/StringWorkload.java @@ -0,0 +1,130 @@ +package fish.payara.trader.pressure.workload; + +import jakarta.enterprise.context.ApplicationScoped; +import java.util.concurrent.ThreadLocalRandom; +import java.util.regex.Matcher; +import java.util.regex.Pattern; + +@ApplicationScoped +public class StringWorkload extends AbstractCpuWorkload { + + private final Pattern pricePattern = Pattern.compile("\\$([0-9]+\\.[0-9]{2})"); + private final Pattern symbolPattern = Pattern.compile("\\b[A-Z]{3,5}\\b"); + private final Pattern datePattern = Pattern.compile("\\d{4}-\\d{2}-\\d{2}"); + private final Pattern quantityPattern = Pattern.compile("(\\d{1,3}(?:,\\d{3})*(?:\\.\\d+)?)"); + + @Override + public String name() { + return "STRING"; + } + + @Override + public void execute(int iterations) { + int numThreads = config.threadsPerWorkload(); + executeMultiThreaded(iterations, numThreads, this::executeSingleIteration); + } + + private void executeSingleIteration(ThreadLocalRandom rng) { + int count = config.payloadSizeBytes() / 256; + if (count < 1) { + count = 1; + } + + int op = rng.nextInt(4); + switch (op) { + case 0 -> executeRegexWork(count, rng); + case 1 -> executeSubstringWork(count, rng); + case 2 -> executeConcatWork(count, rng); + case 3 -> executeInternWork(count, rng); + default -> throw new AssertionError("Unexpected op: " + op); + } + } + + void executeRegexWork(int count, ThreadLocalRandom rng) { + for (int i = 0; i < count; i++) { + String input = generateRandomTradeString(rng); + bytesAllocated.addAndGet(input.length() * 2L); + + findMatches(pricePattern, input); + findMatches(symbolPattern, input); + findMatches(datePattern, input); + findMatches(quantityPattern, input); + + operationsCompleted.incrementAndGet(); + } + } + + private void findMatches(Pattern pattern, String input) { + Matcher matcher = pattern.matcher(input); + while (matcher.find()) { + String match = matcher.group(); + bytesAllocated.addAndGet(match.length() * 2L); + } + } + + void executeSubstringWork(int count, ThreadLocalRandom rng) { + for (int i = 0; i < count; i++) { + String base = generateRandomTradeString(rng); + bytesAllocated.addAndGet(base.length() * 2L); + + for (int j = 0; j < 10; j++) { + int start = rng.nextInt(0, base.length() / 2); + int end = rng.nextInt(start + 1, base.length()); + String sub = base.substring(start, end); + bytesAllocated.addAndGet(sub.length() * 2L); + } + + operationsCompleted.incrementAndGet(); + } + } + + void executeConcatWork(int count, ThreadLocalRandom rng) { + for (int i = 0; i < count; i++) { + StringBuilder sb = new StringBuilder(); + for (int j = 0; j < 50; j++) { + sb.append(generateRandomTradeString(rng)); + if (j < 49) { + sb.append(" | "); + } + } + String result = sb.toString(); + bytesAllocated.addAndGet(result.length() * 2L + 50L * 24L); + operationsCompleted.incrementAndGet(); + } + } + + void executeInternWork(int count, ThreadLocalRandom rng) { + for (int i = 0; i < count; i++) { + String symbol = "SYM-" + rng.nextInt(1000); + bytesAllocated.addAndGet(symbol.length() * 2L); + symbol.intern(); + + String currency = "CUR-" + rng.nextInt(100); + bytesAllocated.addAndGet(currency.length() * 2L); + currency.intern(); + + String exchange = "EXCH-" + rng.nextInt(50); + bytesAllocated.addAndGet(exchange.length() * 2L); + exchange.intern(); + + operationsCompleted.incrementAndGet(); + } + } + + String generateRandomTradeString(ThreadLocalRandom rng) { + int size = 1024 + rng.nextInt(9 * 1024); + StringBuilder sb = new StringBuilder(size); + sb.append("SYM-").append(rng.nextInt(1000)).append(" "); + sb.append("$").append(String.format("%.2f", rng.nextDouble(1.0, 1000.0))).append(" "); + sb.append(String.format("%,d", rng.nextInt(100, 10_000))).append(" "); + sb.append("2026-").append(String.format("%02d-%02d", rng.nextInt(1, 13), rng.nextInt(1, 29))).append(" "); + sb.append(rng.nextBoolean() ? "BUY" : "SELL").append(" "); + + int remaining = size - sb.length(); + for (int i = 0; i < remaining; i++) { + sb.append((char) ('a' + rng.nextInt(26))); + } + + return sb.toString(); + } +} diff --git a/src/main/java/fish/payara/trader/pressure/workload/TechnicalAnalysisWorkload.java b/src/main/java/fish/payara/trader/pressure/workload/TechnicalAnalysisWorkload.java new file mode 100644 index 0000000..7a295c1 --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/workload/TechnicalAnalysisWorkload.java @@ -0,0 +1,158 @@ +package fish.payara.trader.pressure.workload; + +import fish.payara.trader.pressure.WorkloadConfig; +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import org.ta4j.core.BarSeries; +import org.ta4j.core.BaseBarSeriesBuilder; +import org.ta4j.core.bars.TimeBarBuilder; +import org.ta4j.core.indicators.ATRIndicator; +import org.ta4j.core.indicators.MACDIndicator; +import org.ta4j.core.indicators.RSIIndicator; +import org.ta4j.core.indicators.averages.EMAIndicator; +import org.ta4j.core.indicators.averages.SMAIndicator; +import org.ta4j.core.indicators.bollinger.BollingerBandsLowerIndicator; +import org.ta4j.core.indicators.bollinger.BollingerBandsMiddleIndicator; +import org.ta4j.core.indicators.bollinger.BollingerBandsUpperIndicator; +import org.ta4j.core.indicators.helpers.ClosePriceIndicator; +import org.ta4j.core.indicators.statistics.StandardDeviationIndicator; +import org.ta4j.core.num.Num; + +import java.time.Duration; +import java.time.Instant; +import java.util.concurrent.ThreadLocalRandom; + +/** + * Workload that exercises ta4j technical analysis library to generate GC pressure from indicator object allocations. Creates synthetic bar series and computes + * multiple indicator families repeatedly. + */ +@ApplicationScoped +public class TechnicalAnalysisWorkload extends AbstractCpuWorkload { + + private static final int[] SMA_PERIODS = {10, 20, 50, 100, 200}; + private static final int[] EMA_PERIODS = {12, 20, 26, 50}; + private static final int[] RSI_PERIODS = {7, 14, 21}; + private static final int BB_PERIOD = 20; + private static final int ATR_PERIOD = 14; + private static final int MACD_FAST = 12; + private static final int MACD_SLOW = 26; + + @Inject + private WorkloadConfig config; + + @Override + public String name() { + return "TECHNICAL_ANALYSIS"; + } + + @Override + public void execute(int iterations) { + int numThreads = config.threadsPerWorkload(); + executeMultiThreaded(iterations, numThreads, this::executeSingleIteration); + } + + private void executeSingleIteration(ThreadLocalRandom rng) { + BarSeries series = createSyntheticSeries(rng); + computeAllIndicators(series); + + // Estimate bytes allocated: + // - BarSeries with 500 bars: ~40KB (each bar ~80 bytes) + // - Each indicator: ~200-500 bytes object allocation + // - Computing 15+ indicators: ~5KB + // - Num objects (DecimalNum): cached but creates wrapper objects + // Total per iteration: ~50KB + bytesAllocated.addAndGet(50_000); + operationsCompleted.incrementAndGet(); + } + + private BarSeries createSyntheticSeries(ThreadLocalRandom rng) { + int barCount = 200 + rng.nextInt(300); // 200-500 bars + BarSeries series = new BaseBarSeriesBuilder().withName("SYNTH_" + rng.nextInt(1000)).build(); + + Instant now = Instant.now(); + double price = 100 + rng.nextDouble() * 900; // Starting price 100-1000 + + for (int i = 0; i < barCount; i++) { + double volatility = 0.02 + rng.nextDouble() * 0.03; // 2-5% volatility + double change = (rng.nextDouble() * 2 - 1) * volatility; + double open = price; + double close = price * (1 + change); + double high = Math.max(open, close) * (1 + rng.nextDouble() * 0.01); + double low = Math.min(open, close) * (1 - rng.nextDouble() * 0.01); + double volume = 100_000 + rng.nextDouble() * 900_000; + + var bar = new TimeBarBuilder().timePeriod(Duration.ofMinutes(1)) + .endTime(now.minusSeconds((long) (barCount - i) * 60)) + .openPrice(open) + .highPrice(high) + .lowPrice(low) + .closePrice(close) + .volume(volume) + .build(); + + series.addBar(bar); + price = close; + } + + return series; + } + + private void computeAllIndicators(BarSeries series) { + if (series.getEndIndex() < 200) { + return; + } + + ClosePriceIndicator closePrice = new ClosePriceIndicator(series); + int lastIndex = series.getEndIndex(); + + // SMA indicators + for (int period : SMA_PERIODS) { + if (series.getEndIndex() >= period) { + SMAIndicator sma = new SMAIndicator(closePrice, period); + sma.getValue(lastIndex); + } + } + + // EMA indicators + for (int period : EMA_PERIODS) { + if (series.getEndIndex() >= period) { + EMAIndicator ema = new EMAIndicator(closePrice, period); + ema.getValue(lastIndex); + } + } + + // RSI indicators + for (int period : RSI_PERIODS) { + if (series.getEndIndex() >= period) { + RSIIndicator rsi = new RSIIndicator(closePrice, period); + rsi.getValue(lastIndex); + } + } + + // MACD + if (series.getEndIndex() >= MACD_SLOW) { + MACDIndicator macd = new MACDIndicator(closePrice, MACD_FAST, MACD_SLOW); + macd.getValue(lastIndex); + } + + // Bollinger Bands + if (series.getEndIndex() >= BB_PERIOD) { + SMAIndicator sma = new SMAIndicator(closePrice, BB_PERIOD); + StandardDeviationIndicator sd = new StandardDeviationIndicator(closePrice, BB_PERIOD); + BollingerBandsMiddleIndicator bbMiddle = new BollingerBandsMiddleIndicator(sma); + Num k = series.numFactory().numOf(2.0); + BollingerBandsLowerIndicator bbLower = new BollingerBandsLowerIndicator(bbMiddle, sd, k); + BollingerBandsUpperIndicator bbUpper = new BollingerBandsUpperIndicator(bbMiddle, sd, k); + + bbMiddle.getValue(lastIndex); + bbLower.getValue(lastIndex); + bbUpper.getValue(lastIndex); + } + + // ATR + if (series.getEndIndex() >= ATR_PERIOD) { + ATRIndicator atr = new ATRIndicator(series, ATR_PERIOD); + atr.getValue(lastIndex); + } + } +} diff --git a/src/main/java/fish/payara/trader/pressure/workload/TradingMatchingWorkload.java b/src/main/java/fish/payara/trader/pressure/workload/TradingMatchingWorkload.java new file mode 100644 index 0000000..0b34aec --- /dev/null +++ b/src/main/java/fish/payara/trader/pressure/workload/TradingMatchingWorkload.java @@ -0,0 +1,82 @@ +package fish.payara.trader.pressure.workload; + +import fish.payara.trader.matching.engine.MatchingEngine; +import fish.payara.trader.matching.model.OrderRequest; +import fish.payara.trader.matching.model.OrderType; +import fish.payara.trader.matching.model.Side; +import fish.payara.trader.matching.model.TimeInForce; +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; + +import java.util.concurrent.ThreadLocalRandom; + +/** + * Workload that exercises the matching engine to generate GC pressure from Order, Execution, and OrderBookEntry object allocations. + */ +@ApplicationScoped +public class TradingMatchingWorkload extends AbstractCpuWorkload { + + private static final String[] SYMBOLS = {"AAPL", "GOOGL", "MSFT", "AMZN", "TSLA", "NVDA", "META", "NFLX"}; + + private static final OrderType[] ORDER_TYPES = {OrderType.MARKET, OrderType.LIMIT, OrderType.LIMIT, OrderType.LIMIT, OrderType.STOP_LIMIT}; + + @Inject + private MatchingEngine matchingEngine; + + @Override + public String name() { + return "TRADING_MATCHING"; + } + + @Override + public void execute(int iterations) { + int numThreads = config.threadsPerWorkload(); + executeMultiThreaded(iterations, numThreads, this::executeSingleIteration); + } + + private void executeSingleIteration(ThreadLocalRandom rng) { + // Generate random order parameters + String symbol = SYMBOLS[rng.nextInt(SYMBOLS.length)]; + Side side = rng.nextBoolean() ? Side.BUY : Side.SELL; + OrderType type = ORDER_TYPES[rng.nextInt(ORDER_TYPES.length)]; + Long quantity = 100L + rng.nextInt(9901); // 100-10000 + double basePrice = 100 + rng.nextDouble() * 900; // 100-1000 + Double price = Math.round(basePrice * 100) / 100.0; + TimeInForce tif = TimeInForce.values()[rng.nextInt(TimeInForce.values().length)]; + + OrderRequest request; + if (type == OrderType.STOP_LIMIT) { + Double stopPrice = price * (1 + (rng.nextDouble() * 0.1 - 0.05)); // +/- 5% + request = new OrderRequest(symbol, side, type, price, quantity, stopPrice, tif, null, 0.0); + } else if (type == OrderType.LIMIT) { + request = new OrderRequest(symbol, side, type, price, quantity, null, tif, null, 0.0); + } else { + request = new OrderRequest(symbol, side, type, null, quantity, null, tif, null, 0.0); + } + + try { + matchingEngine.submitOrder(request); + + // Estimate bytes allocated per order: + // - Order record: ~200 bytes (fields + object header) + // - OrderRequest: ~100 bytes + // - OrderBookEntry (if resting): ~50 bytes + // - Price objects: ~32 bytes each + // - Execution objects (if matched): ~150 bytes each + // Average ~400 bytes per order submission + bytesAllocated.addAndGet(400); + operationsCompleted.incrementAndGet(); + + // Periodically cancel some orders to exercise that path + if (rng.nextInt(100) < 10) { + long randomOrderId = System.currentTimeMillis() * 10000 + rng.nextInt(10000); + matchingEngine.cancelOrder(randomOrderId); + bytesAllocated.addAndGet(100); + } + + } catch (Exception e) { + // Order validation errors are expected - still counts as work + operationsCompleted.incrementAndGet(); + } + } +} diff --git a/src/main/java/fish/payara/trader/rest/ExecutionResource.java b/src/main/java/fish/payara/trader/rest/ExecutionResource.java new file mode 100644 index 0000000..c4dcc66 --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/ExecutionResource.java @@ -0,0 +1,29 @@ +package fish.payara.trader.rest; + +import fish.payara.trader.matching.engine.MatchingEngine; +import fish.payara.trader.matching.history.ExecutionHistoryQuery; +import fish.payara.trader.matching.model.Execution; +import jakarta.inject.Inject; +import jakarta.ws.rs.*; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; +import java.util.List; +import java.util.logging.Logger; + +@Path("/matching/executions") +public class ExecutionResource { + + private static final Logger LOGGER = Logger.getLogger(ExecutionResource.class.getName()); + + @Inject + private MatchingEngine matchingEngine; + + @GET + @Produces(MediaType.APPLICATION_JSON) + public Response getExecutions(@QueryParam("symbol") String symbol, @QueryParam("limit") @DefaultValue("100") int limit) { + LOGGER.info("GET /api/matching/executions - symbol=" + symbol + ", limit=" + limit); + ExecutionHistoryQuery query = new ExecutionHistoryQuery(symbol, null, null, limit); + List executions = matchingEngine.getExecutions(query); + return Response.ok(executions).build(); + } +} diff --git a/src/main/java/fish/payara/trader/rest/IndicatorResource.java b/src/main/java/fish/payara/trader/rest/IndicatorResource.java new file mode 100644 index 0000000..1cd537b --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/IndicatorResource.java @@ -0,0 +1,46 @@ +package fish.payara.trader.rest; + +import fish.payara.trader.analysis.IndicatorService; +import fish.payara.trader.analysis.model.IndicatorSnapshot; +import fish.payara.trader.dto.IndicatorResponse; +import jakarta.inject.Inject; +import jakarta.ws.rs.*; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; +import java.util.List; +import java.util.Map; +import java.util.logging.Logger; + +@Path("/analysis") +public class IndicatorResource { + + private static final Logger LOGGER = Logger.getLogger(IndicatorResource.class.getName()); + + @Inject + private IndicatorService indicatorService; + + @GET + @Path("/{symbol}") + @Produces(MediaType.APPLICATION_JSON) + public Response getIndicators(@PathParam("symbol") String symbol) { + LOGGER.info("GET /api/analysis/" + symbol); + IndicatorSnapshot snapshot = indicatorService.getSnapshot(symbol); + if (snapshot == null) { + return Response.status(Response.Status.NO_CONTENT).entity(Map.of("symbol", symbol, "error", "Insufficient data")).build(); + } + IndicatorResponse response = new IndicatorResponse(snapshot.symbol(), snapshot.timestamp(), snapshot.values()); + return Response.ok(response).build(); + } + + @GET + @Path("/{symbol}/history") + @Produces(MediaType.APPLICATION_JSON) + public Response getHistoricalIndicators(@PathParam("symbol") String symbol, @QueryParam("bars") @DefaultValue("50") int bars) { + LOGGER.info("GET /api/analysis/" + symbol + "/history?bars=" + bars); + List snapshots = indicatorService.getHistoricalSnapshots(symbol, bars); + if (snapshots.isEmpty()) { + return Response.status(Response.Status.NO_CONTENT).entity(Map.of("symbol", symbol, "error", "Insufficient data")).build(); + } + return Response.ok(snapshots).build(); + } +} diff --git a/src/main/java/fish/payara/trader/rest/MatchingPositionResource.java b/src/main/java/fish/payara/trader/rest/MatchingPositionResource.java new file mode 100644 index 0000000..52c7000 --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/MatchingPositionResource.java @@ -0,0 +1,38 @@ +package fish.payara.trader.rest; + +import fish.payara.trader.matching.engine.MatchingEngine; +import fish.payara.trader.matching.model.Position; +import fish.payara.trader.matching.model.Price; +import jakarta.inject.Inject; +import jakarta.ws.rs.*; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; +import java.util.Map; +import java.util.Optional; +import java.util.logging.Logger; + +@Path("/matching/positions") +public class MatchingPositionResource { + + private static final Logger LOGGER = Logger.getLogger(MatchingPositionResource.class.getName()); + + @Inject + private MatchingEngine matchingEngine; + + @GET + @Produces(MediaType.APPLICATION_JSON) + public Response getAllPositions() { + LOGGER.info("GET /api/matching/positions"); + Map positions = matchingEngine.getPositions(); + return Response.ok(positions).build(); + } + + @GET + @Path("/{symbol}") + @Produces(MediaType.APPLICATION_JSON) + public Response getPosition(@PathParam("symbol") String symbol) { + LOGGER.info("GET /api/matching/positions/" + symbol); + Optional position = matchingEngine.getPosition(symbol); + return Response.ok(position.orElse(new Position(symbol, 0, Price.ZERO, 0, Price.ZERO, 0))).build(); + } +} diff --git a/src/main/java/fish/payara/trader/rest/OrderBookResource.java b/src/main/java/fish/payara/trader/rest/OrderBookResource.java new file mode 100644 index 0000000..4b41d5a --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/OrderBookResource.java @@ -0,0 +1,33 @@ +package fish.payara.trader.rest; + +import fish.payara.trader.matching.engine.MatchingEngine; +import fish.payara.trader.matching.model.OrderBookSnapshot; +import jakarta.inject.Inject; +import jakarta.ws.rs.*; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; +import java.util.Collections; +import java.util.Optional; +import java.util.logging.Logger; + +@Path("/matching/order-book") +public class OrderBookResource { + + private static final Logger LOGGER = Logger.getLogger(OrderBookResource.class.getName()); + + @Inject + private MatchingEngine matchingEngine; + + @GET + @Path("/{symbol}") + @Produces(MediaType.APPLICATION_JSON) + public Response getOrderBook(@PathParam("symbol") String symbol, @QueryParam("depth") @DefaultValue("10") int depth) { + LOGGER.info("GET /api/matching/order-book/" + symbol + "?depth=" + depth); + Optional snapshot = matchingEngine.getBook(symbol); + if (snapshot.isEmpty()) { + OrderBookSnapshot empty = new OrderBookSnapshot(symbol, System.currentTimeMillis(), Collections.emptyList(), Collections.emptyList(), 0, 0); + return Response.ok(empty).build(); + } + return Response.ok(snapshot.get()).build(); + } +} diff --git a/src/main/java/fish/payara/trader/rest/OrderResource.java b/src/main/java/fish/payara/trader/rest/OrderResource.java new file mode 100644 index 0000000..6643cd6 --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/OrderResource.java @@ -0,0 +1,71 @@ +package fish.payara.trader.rest; + +import fish.payara.trader.matching.engine.MatchingEngine; +import fish.payara.trader.matching.model.Order; +import fish.payara.trader.matching.model.OrderRequest; +import fish.payara.trader.matching.exception.OrderValidationException; +import fish.payara.trader.matching.exception.OrderRejectedException; +import fish.payara.trader.matching.book.CancelResult; +import jakarta.inject.Inject; +import jakarta.ws.rs.*; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; +import java.util.List; +import java.util.Map; +import java.util.logging.Logger; + +@Path("/matching/orders") +public class OrderResource { + + private static final Logger LOGGER = Logger.getLogger(OrderResource.class.getName()); + + @Inject + private MatchingEngine matchingEngine; + + @POST + @Produces(MediaType.APPLICATION_JSON) + @Consumes(MediaType.APPLICATION_JSON) + public Response submitOrder(OrderRequest request) { + try { + LOGGER.info("POST /api/matching/orders - Submitting " + request.type() + " " + request.side() + " order for " + request.symbol()); + Order order = matchingEngine.submitOrder(request); + return Response.ok(Map.of("status", "ACCEPTED", "orderId", order.orderId())).build(); + } catch (OrderValidationException e) { + return Response.status(Response.Status.BAD_REQUEST).entity(Map.of("status", "REJECTED", "reason", e.reason())).build(); + } catch (OrderRejectedException e) { + return Response.status(422).entity(Map.of("status", "REJECTED", "reason", e.reason())).build(); + } + } + + @DELETE + @Path("/{orderId}") + @Produces(MediaType.APPLICATION_JSON) + public Response cancelOrder(@PathParam("orderId") long orderId) { + LOGGER.info("DELETE /api/matching/orders/" + orderId); + CancelResult result = matchingEngine.cancelOrder(orderId); + if (!result.canceled()) { + return Response.status(Response.Status.NOT_FOUND).entity(Map.of("status", "NOT_FOUND", "orderId", orderId, "reason", result.reason())).build(); + } + return Response.ok(Map.of("status", "CANCELED", "orderId", orderId)).build(); + } + + @GET + @Produces(MediaType.APPLICATION_JSON) + public Response getOrders(@QueryParam("symbol") String symbol) { + LOGGER.info("GET /api/matching/orders - symbol=" + symbol); + var book = matchingEngine.getBook(symbol); + if (book.isEmpty()) { + return Response.ok(Map.of("symbol", symbol, "levels", List.of())).build(); + } + return Response.ok(Map.of("symbol", symbol, "snapshot", book.get())).build(); + } + + @GET + @Path("/book/{symbol}") + @Produces(MediaType.APPLICATION_JSON) + public Response getOrderBook(@PathParam("symbol") String symbol) { + LOGGER.info("GET /api/matching/orders/book/" + symbol); + var snapshot = matchingEngine.getBook(symbol); + return Response.ok(snapshot.orElse(null)).build(); + } +} diff --git a/src/main/java/fish/payara/trader/rest/PortfolioResource.java b/src/main/java/fish/payara/trader/rest/PortfolioResource.java new file mode 100644 index 0000000..7c0f984 --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/PortfolioResource.java @@ -0,0 +1,70 @@ +package fish.payara.trader.rest; + +import fish.payara.trader.dto.PortfolioResponse; +import fish.payara.trader.portfolio.PortfolioService; +import fish.payara.trader.portfolio.model.PerformanceMetrics; +import fish.payara.trader.portfolio.model.PortfolioSnapshot; +import fish.payara.trader.portfolio.model.RebalancePlan; +import jakarta.inject.Inject; +import jakarta.ws.rs.*; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; +import java.util.Map; +import java.util.logging.Logger; + +@Path("/portfolio") +public class PortfolioResource { + + private static final Logger LOGGER = Logger.getLogger(PortfolioResource.class.getName()); + + @Inject + private PortfolioService portfolioService; + + @GET + @Produces(MediaType.APPLICATION_JSON) + public Response getPortfolio() { + LOGGER.info("GET /api/portfolio"); + PortfolioSnapshot snapshot = portfolioService.getSnapshot(); + PerformanceMetrics metrics = portfolioService.calculateMetrics(); + RebalancePlan plan = portfolioService.generateRebalancePlan(Map.of()); + PortfolioResponse response = new PortfolioResponse(snapshot, metrics, plan); + return Response.ok(response).build(); + } + + @GET + @Path("/metrics") + @Produces(MediaType.APPLICATION_JSON) + public Response getMetrics() { + LOGGER.info("GET /api/portfolio/metrics"); + PerformanceMetrics metrics = portfolioService.calculateMetrics(); + return Response.ok(metrics).build(); + } + + @GET + @Path("/snapshot") + @Produces(MediaType.APPLICATION_JSON) + public Response getSnapshot() { + LOGGER.info("GET /api/portfolio/snapshot"); + PortfolioSnapshot snapshot = portfolioService.getSnapshot(); + return Response.ok(snapshot).build(); + } + + @POST + @Path("/rebalance") + @Produces(MediaType.APPLICATION_JSON) + @Consumes(MediaType.APPLICATION_JSON) + public Response getRebalancePlan(Map targetWeights) { + LOGGER.info("POST /api/portfolio/rebalance"); + RebalancePlan plan = portfolioService.generateRebalancePlan(targetWeights); + return Response.ok(plan).build(); + } + + @POST + @Path("/reset") + @Produces(MediaType.APPLICATION_JSON) + public Response reset() { + LOGGER.info("POST /api/portfolio/reset"); + portfolioService.reset(); + return Response.ok(Map.of("status", "reset")).build(); + } +} diff --git a/src/main/java/fish/payara/trader/rest/RiskResource.java b/src/main/java/fish/payara/trader/rest/RiskResource.java new file mode 100644 index 0000000..f3d8f7f --- /dev/null +++ b/src/main/java/fish/payara/trader/rest/RiskResource.java @@ -0,0 +1,137 @@ +package fish.payara.trader.rest; + +import fish.payara.trader.dto.RiskResponse; +import fish.payara.trader.dto.TradingRiskMetrics; +import fish.payara.trader.risk.RiskEngine; +import fish.payara.trader.risk.model.ExposureSummary; +import fish.payara.trader.risk.model.RiskSnapshot; +import fish.payara.trader.risk.model.StressResult; +import fish.payara.trader.risk.model.VarResult; +import jakarta.inject.Inject; +import jakarta.ws.rs.*; +import jakarta.ws.rs.core.MediaType; +import jakarta.ws.rs.core.Response; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; +import java.util.logging.Logger; + +@Path("/risk") +public class RiskResource { + + private static final Logger LOGGER = Logger.getLogger(RiskResource.class.getName()); + + private static final String[] SYMBOLS = {"AAPL", "GOOGL", "MSFT", "AMZN", "TSLA", "NVDA", "META", "NFLX"}; + + @Inject + private RiskEngine riskEngine; + + @GET + @Produces(MediaType.APPLICATION_JSON) + public Response getFullRiskSnapshot() { + LOGGER.info("GET /api/risk"); + List positions = new ArrayList<>(); + for (String symbol : SYMBOLS) { + positions.add(riskEngine.getRiskSnapshot(symbol)); + } + ExposureSummary exposure = riskEngine.getExposureSummary(); + VarResult historicalVar = riskEngine.calculateHistoricalVaR(); + VarResult parametricVar = riskEngine.calculateParametricVaR(); + List stressResults = riskEngine.runAllStressTests(); + + RiskResponse response = new RiskResponse(positions, exposure, historicalVar, parametricVar, stressResults); + return Response.ok(response).build(); + } + + @GET + @Path("/metrics") + @Produces(MediaType.APPLICATION_JSON) + public Response getTradingMetrics() { + LOGGER.info("GET /api/risk/metrics"); + + try { + ExposureSummary exposure = riskEngine.getExposureSummary(); + VarResult varResult = riskEngine.calculateHistoricalVaR(); + List stressResults = riskEngine.runAllStressTests(); + + double var95 = varResult != null ? varResult.varValue() : 0; + double totalExposure = exposure != null ? exposure.grossExposure() : 0; + double netDelta = exposure != null ? exposure.netDelta() : 0; + + // Calculate max drawdown (simplified - use VaR as proxy) + double maxDrawdown = var95 > 0 ? var95 / Math.max(totalExposure, 1) : 0; + + // Extract stress test impacts + double flashCrash = 0; + double volSpike = 0; + if (stressResults != null) { + for (StressResult sr : stressResults) { + if (sr.scenarioName() != null) { + if (sr.scenarioName().toLowerCase().contains("flash") || sr.scenarioName().toLowerCase().contains("crash")) { + flashCrash = sr.portfolioImpact(); + } + if (sr.scenarioName().toLowerCase().contains("vol") || sr.scenarioName().toLowerCase().contains("spike")) { + volSpike = sr.portfolioImpact(); + } + } + } + } + + TradingRiskMetrics metrics = new TradingRiskMetrics(var95, totalExposure, netDelta, maxDrawdown, + new TradingRiskMetrics.StressTestMetrics(flashCrash, volSpike)); + + return Response.ok(metrics).build(); + } catch (Exception e) { + LOGGER.warning("Error calculating risk metrics: " + e.getMessage()); + return Response.ok(TradingRiskMetrics.empty()).build(); + } + } + + @GET + @Path("/var") + @Produces(MediaType.APPLICATION_JSON) + public Response getVaR() { + LOGGER.info("GET /api/risk/var"); + VarResult historical = riskEngine.calculateHistoricalVaR(); + VarResult parametric = riskEngine.calculateParametricVaR(); + return Response.ok(Map.of("historical", historical, "parametric", parametric)).build(); + } + + @GET + @Path("/stress") + @Produces(MediaType.APPLICATION_JSON) + public Response getStressTestResults() { + LOGGER.info("GET /api/risk/stress"); + List results = riskEngine.runAllStressTests(); + return Response.ok(results).build(); + } + + @GET + @Path("/exposure") + @Produces(MediaType.APPLICATION_JSON) + public Response getExposure() { + LOGGER.info("GET /api/risk/exposure"); + ExposureSummary exposure = riskEngine.getExposureSummary(); + return Response.ok(exposure).build(); + } + + @GET + @Path("/{symbol}") + @Produces(MediaType.APPLICATION_JSON) + public Response getRiskForSymbol(@PathParam("symbol") String symbol) { + LOGGER.info("GET /api/risk/" + symbol); + RiskSnapshot snapshot = riskEngine.getRiskSnapshot(symbol); + return Response.ok(snapshot).build(); + } + + @POST + @Path("/limits/{symbol}") + @Produces(MediaType.APPLICATION_JSON) + @Consumes(MediaType.APPLICATION_JSON) + public Response updatePositionLimit(@PathParam("symbol") String symbol, Map body) { + double limit = body.getOrDefault("limit", 10000.0); + LOGGER.info("POST /api/risk/limits/" + symbol + " - Setting limit to " + limit); + riskEngine.updatePositionLimit(symbol, limit); + return Response.ok(Map.of("symbol", symbol, "limit", limit)).build(); + } +} diff --git a/src/main/java/fish/payara/trader/risk/PositionTracker.java b/src/main/java/fish/payara/trader/risk/PositionTracker.java new file mode 100644 index 0000000..74f8603 --- /dev/null +++ b/src/main/java/fish/payara/trader/risk/PositionTracker.java @@ -0,0 +1,133 @@ +package fish.payara.trader.risk; + +import fish.payara.trader.risk.model.Position; +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import java.util.Map; +import java.util.concurrent.ConcurrentHashMap; +import java.util.logging.Logger; + +/** + * Tracks positions per symbol. Thread-safe via ConcurrentHashMap. Handles fills by updating average entry price and computing realized P&L on closing + * (reducing) trades. + */ +@ApplicationScoped +public class PositionTracker { + + private static final Logger LOGGER = Logger.getLogger(PositionTracker.class.getName()); + + private static final Position ZERO = new Position(""); + + private final ConcurrentHashMap positions = new ConcurrentHashMap<>(); + private final ConcurrentHashMap positionLimits = new ConcurrentHashMap<>(); + + @Inject + private RiskConfig config; + + /** + * Represents trade side. Local definition since no shared Side enum exists. + */ + public enum Side { + BUY, SELL + } + + /** + * Process a fill and update the position. + * + * @param symbol + * the instrument + * @param quantity + * absolute fill quantity + * @param price + * fill price + * @param side + * BUY or SELL + */ + public void onFill(String symbol, long quantity, double price, Side side) { + positions.compute(symbol, (key, existing) -> { + Position pos = existing != null ? existing : new Position(symbol); + + long signedQty = side == Side.BUY ? quantity : -quantity; + long oldQty = pos.quantity(); + long newQty = oldQty + signedQty; + + double realizedPnl = pos.realizedPnl(); + double avgEntry = pos.averageEntryPrice(); + + if (oldQty > 0 && signedQty < 0) { + long closingQty = Math.min(Math.abs(signedQty), oldQty); + realizedPnl += closingQty * (price - avgEntry); + long remaining = oldQty - closingQty; + if (remaining == 0) { + avgEntry = 0.0; + } else { + avgEntry = avgEntry; + } + } else if (oldQty < 0 && signedQty > 0) { + long closingQty = Math.min(signedQty, Math.abs(oldQty)); + realizedPnl += closingQty * (avgEntry - price); + long remaining = Math.abs(oldQty) - closingQty; + if (remaining == 0) { + avgEntry = 0.0; + } + } + + if ((oldQty >= 0 && newQty > oldQty) || (oldQty <= 0 && newQty < oldQty)) { + double totalCost = avgEntry * Math.abs(oldQty) + price * Math.abs(signedQty); + long totalQty = Math.abs(newQty); + avgEntry = totalQty > 0 ? totalCost / totalQty : 0.0; + } + + long tradeCount = pos.tradeCount() + 1; + return new Position(symbol, newQty, avgEntry, realizedPnl, tradeCount); + }); + } + + /** + * Returns the position for the given symbol, or a zero-initialized default. + */ + public Position getPosition(String symbol) { + return positions.getOrDefault(symbol, new Position(symbol)); + } + + /** + * Returns all tracked positions. + */ + public Map getAllPositions() { + return Map.copyOf(positions); + } + + /** + * Checks whether adding the given quantity would breach the position limit. + */ + public boolean wouldBreachLimit(String symbol, long additionalQty) { + double limit = positionLimits.getOrDefault(symbol, config.defaultPositionLimit()); + Position pos = getPosition(symbol); + double price = pos.averageEntryPrice(); + double newNotional = (Math.abs(pos.quantity()) + Math.abs(additionalQty)) * price; + return newNotional > limit; + } + + /** + * Sets a per-symbol position limit. + */ + public void updatePositionLimit(String symbol, double limit) { + positionLimits.put(symbol, limit); + } + + /** + * Returns the effective position limit for the given symbol. + */ + public double getPositionLimit(String symbol) { + return positionLimits.getOrDefault(symbol, config.defaultPositionLimit()); + } + + /** + * Clears all positions and limits. + */ + public void reset() { + positions.clear(); + positionLimits.clear(); + LOGGER.info("PositionTracker reset"); + } +} diff --git a/src/main/java/fish/payara/trader/risk/RiskConfig.java b/src/main/java/fish/payara/trader/risk/RiskConfig.java new file mode 100644 index 0000000..2feb3d3 --- /dev/null +++ b/src/main/java/fish/payara/trader/risk/RiskConfig.java @@ -0,0 +1,60 @@ +package fish.payara.trader.risk; + +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import org.eclipse.microprofile.config.inject.ConfigProperty; + +/** + * MicroProfile configuration for risk management parameters. + */ +@ApplicationScoped +public class RiskConfig { + + @Inject + @ConfigProperty(name = "risk.position.limit.default", defaultValue = "10000") + private double defaultPositionLimit; + + @Inject + @ConfigProperty(name = "risk.var.lookback.bars", defaultValue = "252") + private int varLookbackBars; + + @Inject + @ConfigProperty(name = "risk.var.confidence", defaultValue = "0.95") + private double varConfidence; + + @Inject + @ConfigProperty(name = "risk.stress.crash.percent", defaultValue = "20") + private double stressCrashPercent; + + @Inject + @ConfigProperty(name = "risk.stress.vol.spike", defaultValue = "3.0") + private double stressVolSpike; + + @Inject + @ConfigProperty(name = "risk.stress.liquidity.widen", defaultValue = "50") + private double stressLiquidityWiden; + + public double defaultPositionLimit() { + return defaultPositionLimit; + } + + public int varLookbackBars() { + return varLookbackBars; + } + + public double varConfidence() { + return varConfidence; + } + + public double stressCrashPercent() { + return stressCrashPercent; + } + + public double stressVolSpike() { + return stressVolSpike; + } + + public double stressLiquidityWiden() { + return stressLiquidityWiden; + } +} diff --git a/src/main/java/fish/payara/trader/risk/RiskEngine.java b/src/main/java/fish/payara/trader/risk/RiskEngine.java new file mode 100644 index 0000000..00b31ae --- /dev/null +++ b/src/main/java/fish/payara/trader/risk/RiskEngine.java @@ -0,0 +1,284 @@ +package fish.payara.trader.risk; + +import fish.payara.trader.analysis.BarAggregator; +import fish.payara.trader.risk.model.ExposureSummary; +import fish.payara.trader.risk.model.Position; +import fish.payara.trader.risk.model.RiskSnapshot; +import fish.payara.trader.risk.model.StressResult; +import fish.payara.trader.risk.model.StressScenario; +import fish.payara.trader.risk.model.StressScenario.CorrelationBreakdown; +import fish.payara.trader.risk.model.StressScenario.FlashCrash; +import fish.payara.trader.risk.model.StressScenario.InterestRateShock; +import fish.payara.trader.risk.model.StressScenario.LiquidityFreeze; +import fish.payara.trader.risk.model.StressScenario.VolatilitySpike; +import fish.payara.trader.risk.model.VarResult; +import jakarta.enterprise.context.ApplicationScoped; +import jakarta.inject.Inject; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Map; +import java.util.logging.Logger; +import org.ta4j.core.BarSeries; + +/** + * Central risk engine computing per-symbol risk snapshots, portfolio-level exposure, Value at Risk (historical and parametric), and stress tests. + */ +@ApplicationScoped +public class RiskEngine { + + private static final Logger LOGGER = Logger.getLogger(RiskEngine.class.getName()); + + @Inject + private PositionTracker positionTracker; + + @Inject + private BarAggregator barAggregator; + + @Inject + private RiskConfig config; + + /** + * Computes a per-symbol risk snapshot. + */ + public RiskSnapshot getRiskSnapshot(String symbol) { + Position position = positionTracker.getPosition(symbol); + double currentPrice = getLastPrice(symbol); + double notional = position.notionalValue(currentPrice); + double unrealizedPnl = position.unrealizedPnl(currentPrice); + double limit = positionTracker.getPositionLimit(symbol); + double utilization = limit > 0 ? (notional / limit) * 100.0 : 0.0; + + return new RiskSnapshot(symbol, position, currentPrice, notional, unrealizedPnl, limit, utilization); + } + + /** + * Aggregates portfolio-level exposure across all positions. + */ + public ExposureSummary getExposureSummary() { + Map allPositions = positionTracker.getAllPositions(); + double totalNotional = 0.0; + double longExposure = 0.0; + double shortExposure = 0.0; + double netDelta = 0.0; + + for (Map.Entry entry : allPositions.entrySet()) { + Position pos = entry.getValue(); + double price = getLastPrice(entry.getKey()); + double notional = pos.notionalValue(price); + + totalNotional += notional; + netDelta += pos.delta(); + + if (pos.isLong()) { + longExposure += notional; + } else if (pos.isShort()) { + shortExposure += notional; + } + } + + return new ExposureSummary(totalNotional, netDelta, longExposure + shortExposure, longExposure, shortExposure, allPositions.size()); + } + + /** + * Historical VaR: sort portfolio returns, pick the percentile. + */ + public VarResult calculateHistoricalVaR() { + double[] returns = computePortfolioReturns(); + + if (returns.length < 2) { + return new VarResult("historical", 0.0, config.varConfidence(), 0, System.currentTimeMillis()); + } + + Arrays.sort(returns); + + int index = (int) Math.ceil((1.0 - config.varConfidence()) * returns.length) - 1; + index = Math.max(0, Math.min(index, returns.length - 1)); + + double varReturn = returns[index]; + double portfolioValue = getPortfolioValue(); + double varValue = Math.abs(varReturn * portfolioValue); + + return new VarResult("historical", varValue, config.varConfidence(), config.varLookbackBars(), System.currentTimeMillis()); + } + + /** + * Parametric VaR: mean - z * sigma (normal distribution). + */ + public VarResult calculateParametricVaR() { + double[] returns = computePortfolioReturns(); + + if (returns.length < 2) { + return new VarResult("parametric", 0.0, config.varConfidence(), 0, System.currentTimeMillis()); + } + + double mean = 0.0; + for (double r : returns) { + mean += r; + } + mean /= returns.length; + + double variance = 0.0; + for (double r : returns) { + variance += (r - mean) * (r - mean); + } + variance /= (returns.length - 1); + double stddev = Math.sqrt(variance); + + double z = inverseNormalCdf(config.varConfidence()); + double portfolioValue = getPortfolioValue(); + double varValue = portfolioValue * Math.abs(mean - z * stddev); + + return new VarResult("parametric", varValue, config.varConfidence(), config.varLookbackBars(), System.currentTimeMillis()); + } + + /** + * Runs a single stress test scenario across all positions. + */ + public StressResult runStressTest(StressScenario scenario) { + Map allPositions = positionTracker.getAllPositions(); + double totalImpact = 0.0; + int breached = 0; + double maxLoss = 0.0; + List breachDetails = new ArrayList<>(); + + for (Map.Entry entry : allPositions.entrySet()) { + Position pos = entry.getValue(); + double price = getLastPrice(entry.getKey()); + double impact = scenario.apply(pos, price); + + totalImpact += impact; + + if (impact < 0) { + double loss = Math.abs(impact); + if (loss > maxLoss) { + maxLoss = loss; + } + double limit = positionTracker.getPositionLimit(entry.getKey()); + double utilization = limit > 0 ? (pos.notionalValue(price) / limit) * 100.0 : 0.0; + if (utilization > 80.0) { + breached++; + breachDetails.add("%s: %.2f loss, %.1f%% utilized".formatted(entry.getKey(), loss, utilization)); + } + } + } + + return new StressResult(scenario.name(), totalImpact, breached, maxLoss, breachDetails); + } + + /** + * Runs all built-in stress scenarios. + */ + public List runAllStressTests() { + List scenarios = List.of(new FlashCrash(config.stressCrashPercent()), new VolatilitySpike(config.stressVolSpike()), + new LiquidityFreeze(config.stressLiquidityWiden()), new CorrelationBreakdown(30.0), new InterestRateShock(50.0)); + + List results = new ArrayList<>(); + for (StressScenario scenario : scenarios) { + results.add(runStressTest(scenario)); + } + return results; + } + + /** + * Checks whether the additional quantity at the given price would breach the limit. + */ + public boolean wouldBreachLimit(String symbol, long additionalQty, double price) { + Position pos = positionTracker.getPosition(symbol); + double limit = positionTracker.getPositionLimit(symbol); + double newNotional = (Math.abs(pos.quantity()) + Math.abs(additionalQty)) * price; + return newNotional > limit; + } + + /** + * Delegates to PositionTracker for per-symbol limit updates. + */ + public void updatePositionLimit(String symbol, double limit) { + positionTracker.updatePositionLimit(symbol, limit); + } + + private double getLastPrice(String symbol) { + BarSeries series = barAggregator.getSeries(symbol); + if (series.isEmpty()) { + return 0.0; + } + return series.getLastBar().getClosePrice().doubleValue(); + } + + private double getPortfolioValue() { + double value = 0.0; + Map allPositions = positionTracker.getAllPositions(); + for (Map.Entry entry : allPositions.entrySet()) { + value += entry.getValue().notionalValue(getLastPrice(entry.getKey())); + } + return value; + } + + /** + * Computes equal-weighted portfolio returns from bar data. Returns a single array of portfolio returns over time. + */ + private double[] computePortfolioReturns() { + Map allPositions = positionTracker.getAllPositions(); + List symbols = new ArrayList<>(allPositions.keySet()); + + if (symbols.isEmpty()) { + return new double[0]; + } + + int lookback = config.varLookbackBars(); + int minBars = Integer.MAX_VALUE; + + for (String symbol : symbols) { + BarSeries series = barAggregator.getSeries(symbol); + int bars = Math.min(series.getBarCount(), lookback); + minBars = Math.min(minBars, bars); + } + + if (minBars < 2) { + return new double[0]; + } + + int numReturns = minBars - 1; + double[] portfolioReturns = new double[numReturns]; + + for (int t = 0; t < numReturns; t++) { + double portfolioReturn = 0.0; + int count = 0; + + for (String symbol : symbols) { + BarSeries series = barAggregator.getSeries(symbol); + int baseIndex = series.getEndIndex() - minBars + 1; + + double prevPrice = series.getBar(baseIndex + t).getClosePrice().doubleValue(); + double currPrice = series.getBar(baseIndex + t + 1).getClosePrice().doubleValue(); + + if (prevPrice > 0) { + portfolioReturn += (currPrice - prevPrice) / prevPrice; + count++; + } + } + + if (count > 0) { + portfolioReturns[t] = portfolioReturn / count; + } + } + + return portfolioReturns; + } + + /** + * Approximate inverse of the standard normal CDF using the rational approximation. Used for parametric VaR z-score computation. + */ + private static double inverseNormalCdf(double p) { + if (p <= 0.0 || p >= 1.0) { + throw new IllegalArgumentException("p must be in (0, 1), got: " + p); + } + if (p < 0.5) { + return -inverseNormalCdf(1.0 - p); + } + double[] a = {0.0, 0.254829592, -0.284496736, 1.421413741, -1.453152027, 1.061405429, 0.3275911}; + double t = 1.0 / (1.0 + a[1] * Math.sqrt(-2.0 * Math.log(1.0 - p))); + double y = 1.0 - (((((a[5] * t + a[4]) * t) + a[3]) * t + a[2]) * t + a[1]) * t * Math.exp(-t * t / 2.0); + return y; + } +} diff --git a/src/main/java/fish/payara/trader/risk/model/ExposureSummary.java b/src/main/java/fish/payara/trader/risk/model/ExposureSummary.java new file mode 100644 index 0000000..33931ee --- /dev/null +++ b/src/main/java/fish/payara/trader/risk/model/ExposureSummary.java @@ -0,0 +1,7 @@ +package fish.payara.trader.risk.model; + +/** + * Portfolio-level exposure aggregation across all positions. + */ +public record ExposureSummary(double totalNotional, double netDelta, double grossExposure, double longExposure, double shortExposure, int symbolCount) { +} diff --git a/src/main/java/fish/payara/trader/risk/model/Position.java b/src/main/java/fish/payara/trader/risk/model/Position.java new file mode 100644 index 0000000..b9ebee4 --- /dev/null +++ b/src/main/java/fish/payara/trader/risk/model/Position.java @@ -0,0 +1,38 @@ +package fish.payara.trader.risk.model; + +/** + * Tracks an open position for a single symbol. Quantity is positive for longs, negative for shorts. + */ +public record Position(String symbol, long quantity, double averageEntryPrice, double realizedPnl, long tradeCount) { + + public Position(String symbol) { + this(symbol, 0, 0.0, 0.0, 0); + } + + public double notionalValue(double currentPrice) { + return Math.abs(quantity) * currentPrice; + } + + public double unrealizedPnl(double currentPrice) { + if (quantity == 0 || averageEntryPrice == 0.0) { + return 0.0; + } + return quantity > 0 ? (currentPrice - averageEntryPrice) * quantity : (averageEntryPrice - currentPrice) * Math.abs(quantity); + } + + public double delta() { + return quantity; + } + + public boolean isFlat() { + return quantity == 0; + } + + public boolean isLong() { + return quantity > 0; + } + + public boolean isShort() { + return quantity < 0; + } +} diff --git a/src/main/java/fish/payara/trader/risk/model/RiskSnapshot.java b/src/main/java/fish/payara/trader/risk/model/RiskSnapshot.java new file mode 100644 index 0000000..a147441 --- /dev/null +++ b/src/main/java/fish/payara/trader/risk/model/RiskSnapshot.java @@ -0,0 +1,8 @@ +package fish.payara.trader.risk.model; + +/** + * Per-symbol risk snapshot combining position, price, and limit utilization. + */ +public record RiskSnapshot(String symbol, Position position, double currentPrice, double notionalValue, double unrealizedPnl, double maxPositionLimit, + double utilizationPercent) { +} diff --git a/src/main/java/fish/payara/trader/risk/model/StressResult.java b/src/main/java/fish/payara/trader/risk/model/StressResult.java new file mode 100644 index 0000000..2d518d3 --- /dev/null +++ b/src/main/java/fish/payara/trader/risk/model/StressResult.java @@ -0,0 +1,9 @@ +package fish.payara.trader.risk.model; + +import java.util.List; + +/** + * Result of running a stress test scenario across all positions. + */ +public record StressResult(String scenarioName, double portfolioImpact, int positionsBreached, double maxPositionLoss, List breachDetails) { +} diff --git a/src/main/java/fish/payara/trader/risk/model/StressScenario.java b/src/main/java/fish/payara/trader/risk/model/StressScenario.java new file mode 100644 index 0000000..efbefb4 --- /dev/null +++ b/src/main/java/fish/payara/trader/risk/model/StressScenario.java @@ -0,0 +1,83 @@ +package fish.payara.trader.risk.model; + +/** + * Sealed interface for stress test scenarios. Each variant applies a different shock to positions and returns the resulting P&L impact. + */ +public sealed interface StressScenario permits StressScenario.FlashCrash, StressScenario.VolatilitySpike, StressScenario.LiquidityFreeze, + StressScenario.CorrelationBreakdown, StressScenario.InterestRateShock { + + String name(); + + /** + * Apply the stress scenario to a position at the given price. Returns the P&L impact (negative means loss). + */ + double apply(Position position, double price); + + record FlashCrash(double crashPercent) implements StressScenario { + @Override + public String name() { + return "Flash Crash (%.1f%%)".formatted(crashPercent); + } + + @Override + public double apply(Position position, double price) { + double shockedPrice = price * (1.0 - crashPercent / 100.0); + return position.unrealizedPnl(shockedPrice) - position.unrealizedPnl(price); + } + } + + record VolatilitySpike(double volMultiplier) implements StressScenario { + @Override + public String name() { + return "Volatility Spike (%.1fx)".formatted(volMultiplier); + } + + @Override + public double apply(Position position, double price) { + double shockPercent = (volMultiplier - 1.0) * 10.0; + double shockedPrice = price * (1.0 - shockPercent / 100.0); + return position.unrealizedPnl(shockedPrice) - position.unrealizedPnl(price); + } + } + + record LiquidityFreeze(double bidAskWidenPercent) implements StressScenario { + @Override + public String name() { + return "Liquidity Freeze (spread +%.1f%%)".formatted(bidAskWidenPercent); + } + + @Override + public double apply(Position position, double price) { + double halfSpread = price * (bidAskWidenPercent / 200.0); + double liquidationPrice = position.isLong() ? price - halfSpread : price + halfSpread; + return position.unrealizedPnl(liquidationPrice) - position.unrealizedPnl(price); + } + } + + record CorrelationBreakdown(double decorrelationPercent) implements StressScenario { + @Override + public String name() { + return "Correlation Breakdown (%.1f%%)".formatted(decorrelationPercent); + } + + @Override + public double apply(Position position, double price) { + double shockPercent = decorrelationPercent / 100.0 * 5.0; + double shockedPrice = price * (1.0 - shockPercent); + return position.unrealizedPnl(shockedPrice) - position.unrealizedPnl(price); + } + } + + record InterestRateShock(double basisPoints) implements StressScenario { + @Override + public String name() { + return "Interest Rate Shock (%.0f bps)".formatted(basisPoints); + } + + @Override + public double apply(Position position, double price) { + double impact = position.notionalValue(price) * (basisPoints / 10_000.0) * 0.1; + return -impact; + } + } +} diff --git a/src/main/java/fish/payara/trader/risk/model/VarResult.java b/src/main/java/fish/payara/trader/risk/model/VarResult.java new file mode 100644 index 0000000..7caaf86 --- /dev/null +++ b/src/main/java/fish/payara/trader/risk/model/VarResult.java @@ -0,0 +1,7 @@ +package fish.payara.trader.risk.model; + +/** + * Value at Risk result from either historical or parametric computation. + */ +public record VarResult(String method, double varValue, double confidenceLevel, int lookbackBars, long timestamp) { +} diff --git a/src/main/java/fish/payara/trader/websocket/ExecutionWebSocket.java b/src/main/java/fish/payara/trader/websocket/ExecutionWebSocket.java new file mode 100644 index 0000000..74ddff2 --- /dev/null +++ b/src/main/java/fish/payara/trader/websocket/ExecutionWebSocket.java @@ -0,0 +1,45 @@ +package fish.payara.trader.websocket; + +import fish.payara.trader.matching.websocket.ExecutionBroadcaster; +import jakarta.inject.Inject; +import jakarta.websocket.*; +import jakarta.websocket.server.ServerEndpoint; +import java.util.logging.Level; +import java.util.logging.Logger; + +@ServerEndpoint("/executions") +public class ExecutionWebSocket { + + private static final Logger LOGGER = Logger.getLogger(ExecutionWebSocket.class.getName()); + + @Inject + private ExecutionBroadcaster broadcaster; + + @OnOpen + public void onOpen(Session session) { + LOGGER.info("Execution WebSocket opened: " + session.getId()); + broadcaster.addSession(session); + try { + session.getBasicRemote().sendText("{\"type\":\"info\",\"message\":\"Connected to execution feed\"}"); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to send execution welcome message", e); + } + } + + @OnClose + public void onClose(Session session, CloseReason closeReason) { + LOGGER.info("Execution WebSocket closed: " + session.getId()); + broadcaster.removeSession(session); + } + + @OnError + public void onError(Session session, Throwable throwable) { + LOGGER.log(Level.WARNING, "Execution WebSocket error: " + session.getId(), throwable); + broadcaster.removeSession(session); + } + + @OnMessage + public void onMessage(String message, Session session) { + LOGGER.fine("Execution WebSocket received: " + message); + } +} diff --git a/src/main/java/fish/payara/trader/websocket/IndicatorWebSocket.java b/src/main/java/fish/payara/trader/websocket/IndicatorWebSocket.java new file mode 100644 index 0000000..423d29a --- /dev/null +++ b/src/main/java/fish/payara/trader/websocket/IndicatorWebSocket.java @@ -0,0 +1,44 @@ +package fish.payara.trader.websocket; + +import jakarta.inject.Inject; +import jakarta.websocket.*; +import jakarta.websocket.server.ServerEndpoint; +import java.util.logging.Level; +import java.util.logging.Logger; + +@ServerEndpoint("/indicators") +public class IndicatorWebSocket { + + private static final Logger LOGGER = Logger.getLogger(IndicatorWebSocket.class.getName()); + + @Inject + private MarketDataBroadcaster broadcaster; + + @OnOpen + public void onOpen(Session session) { + LOGGER.info("Indicator WebSocket opened: " + session.getId()); + broadcaster.addSession(session); + try { + session.getBasicRemote().sendText("{\"type\":\"info\",\"message\":\"Connected to indicator feed\"}"); + } catch (Exception e) { + LOGGER.log(Level.WARNING, "Failed to send indicator welcome message", e); + } + } + + @OnClose + public void onClose(Session session, CloseReason closeReason) { + LOGGER.info("Indicator WebSocket closed: " + session.getId()); + broadcaster.removeSession(session); + } + + @OnError + public void onError(Session session, Throwable throwable) { + LOGGER.log(Level.WARNING, "Indicator WebSocket error: " + session.getId(), throwable); + broadcaster.removeSession(session); + } + + @OnMessage + public void onMessage(String message, Session session) { + LOGGER.fine("Indicator WebSocket received: " + message); + } +} diff --git a/src/main/resources/sbe/market-data.xml b/src/main/resources/sbe/market-data.xml index 9634703..bdde8e1 100644 --- a/src/main/resources/sbe/market-data.xml +++ b/src/main/resources/sbe/market-data.xml @@ -31,6 +31,16 @@ + + + + + + + + + + 0 @@ -41,6 +51,9 @@ 0 1 2 + 3 + 4 + 5 @@ -49,6 +62,63 @@ 2 3 4 + 5 + + + + 0 + 1 + 2 + 3 + 4 + 5 + 6 + 7 + + + + 0 + 1 + 2 + 3 + 4 + + + + 0 + 1 + 2 + 99 + + + + 0 + 1 + 2 + + + + 0 + 1 + 2 + 3 + 4 + + + + 0 + 1 + 2 + 3 + 4 + 5 + + + + 0 + 1 + 2 + 3 @@ -115,4 +185,288 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/src/main/webapp/blog.html b/src/main/webapp/blog.html index 52fcf2e..f82708b 100644 --- a/src/main/webapp/blog.html +++ b/src/main/webapp/blog.html @@ -3,7 +3,7 @@ - Azul C4 and Payara: High-Speed Financial Applications - TradeStreamEE Blog + Azul C4 and Payara Micro: GC Performance in Financial Applications - TradeStreamEE Blog + + +
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    Help & Documentation

    +

    Reference guide for TradeStreamEE: architecture, terminology, API, configuration, and deployment.

    +
    + + + +
    + + +

    What is TradeStreamEE?

    + + +

    TradeStreamEE is a GC benchmarking platform built on Jakarta EE 11 and Payara Micro 7. It generates realistic allocation patterns by running an actual trading system under load, then measures how different garbage collectors (Azul C4 vs G1) handle the pressure.

    + +
    +

    The "trading" domain is not window dressing. An order matching engine creates and tears down Order, Execution, and OrderBookEntry objects at HFT rates. A risk engine computes Value-at-Risk with Monte Carlo simulation. A portfolio manager tracks positions and calculates Sharpe ratios. This produces real allocation patterns from real business logic.

    +
    + +

    Subsystem Overview

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    SubsystemPackageWhat It Does
    Market Data PipelineaeronPublishes synthetic trades/quotes via Aeron IPC with SBE encoding. Subscribes via fragment handler, decodes, broadcasts via Hazelcast ITopic.
    Matching EnginematchingPrice-time priority order book. Matches incoming orders against resting orders. Supports limit orders, stop orders, iceberg orders. Tracks execution history.
    Risk EngineriskValue-at-Risk (parametric, historical, Monte Carlo), position limits, stress testing (crash, volatility spike, liquidity crisis). Tracks per-symbol exposure.
    Portfolio ManagerportfolioTracks cash balance, positions, NAV. Computes performance metrics (Sharpe ratio, max drawdown, returns). Generates rebalance plans.
    Technical AnalysisanalysisAggregates ticks into OHLCV bars via BarAggregator. Computes indicators (SMA, EMA, RSI, MACD, Bollinger Bands, ATR) using ta4j.
    GC Stress Enginepressure12 workloads (5 memory scenarios + 7 CPU workloads) that generate adversarial allocation patterns. Dispatched via CDI from MemoryPressureService.
    + + + +

    Trading Terminology

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    TermDefinition
    BidThe highest price a buyer is willing to pay for a security at a given moment. In an order book, bids are sorted in descending order (best bid = highest).
    Ask (Offer)The lowest price a seller is willing to accept. Asks are sorted in ascending order (best ask = lowest).
    SpreadThe difference between the best ask and best bid. A tight spread indicates high liquidity. A wide spread indicates low liquidity or high volatility.
    Order BookA data structure containing all outstanding buy and sell orders for a symbol. The matching engine maintains two sides: bids (buyers) and asks (sellers), each sorted by price-time priority.
    Order MatchingThe process of pairing incoming orders with resting orders in the book. When a buy order's price meets or exceeds a sell order's price, they match and generate an Execution.
    FillAn execution of an order. A partial fill means only some of the order quantity was matched. A full fill means the entire quantity was matched.
    Limit OrderAn order to buy or sell at a specified price or better. A buy limit at $100 executes only at $100 or lower. A sell limit at $100 executes only at $100 or higher.
    Market OrderAn order that executes immediately at the best available price in the book. No price guarantee.
    Iceberg OrderA large order where only a fraction (the "display quantity") is visible in the book. As the visible portion is filled, more is revealed. Used to avoid market impact.
    Stop OrderAn order that activates when the price reaches a specified stop price. Becomes a market order once triggered. Used for stop-loss or breakout strategies.
    PositionNet holdings in a symbol. Positive = long (you own it). Negative = short (you sold borrowed shares). The matching engine tracks positions in PositionService.
    PnLRealized PnL: profit/loss from closed positions. Unrealized PnL: mark-to-market gain/loss on open positions.
    Price-Time PriorityThe matching rule used by this engine. The best price always matches first. Within the same price level, the earliest order (time priority) matches first.
    + +

    Technical Analysis Indicators

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    IndicatorTypeWhat It Measures
    SMATrendSimple Moving Average: arithmetic mean of closing prices over N periods. Smooths short-term noise to reveal trend direction.
    EMATrendExponential Moving Average: gives more weight to recent prices. Reacts faster to price changes than SMA.
    RSIMomentumRelative Strength Index: bounded oscillator (0-100). Above 70 = overbought. Below 30 = oversold. Measures speed and magnitude of price changes.
    MACDTrend / MomentumMoving Average Convergence Divergence: difference between a fast EMA (12) and slow EMA (26). A signal line (9-period EMA of MACD) generates buy/sell signals on crossovers.
    Bollinger BandsVolatilityThree lines: middle (SMA), upper (SMA + k * stddev), lower (SMA - k * stddev, default k=2). Bands widen when volatility increases, contract when it decreases.
    ATRVolatilityAverage True Range: measures the average range between high and low prices over N periods. Used to set stop-loss distances and assess volatility.
    + +

    Risk Metrics

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    MetricDefinition
    VaR (Value-at-Risk)The maximum expected loss over a time horizon at a confidence level. Example: 95% 1-day VaR of $10K means "on the worst 5% of days, we expect to lose more than $10K." Computed via parametric (variance-covariance), historical simulation, or Monte Carlo.
    Sharpe RatioRisk-adjusted return: (portfolio return - risk-free rate) / portfolio standard deviation. Higher = more return per unit of risk. Above 1.0 is good; above 2.0 is excellent.
    Max DrawdownThe largest peak-to-trough decline in portfolio value, expressed as a percentage. Measures the worst-case loss an investor would have experienced.
    Stress TestingSimulating extreme market scenarios to estimate potential losses. This system implements three: crash (sudden price drop), volatility spike (3x normal volatility), and liquidity crisis (50% wider spreads).
    + + + +

    GC Stress Testing

    + + +

    The stress testing framework generates adversarial allocation patterns to expose GC weaknesses. 12 workloads in two categories:

    + +

    Memory Scenarios 5 workloads

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    Directly manipulate byte arrays to target specific G1 architectural weaknesses. All defined in AllocationMode.java.

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    ScenarioRateLive SetG1 Weakness
    STEADY_LOAD200 MB/s512 MBYoung GC pause frequency
    GROWING_HEAP150 MB/s100 MB → 2 GBMixed collection pause scaling
    PROMOTION_STORM300 MB/s1 GB (50% survival)Old generation collection
    FRAGMENTATION200 MB/s1 GBCompaction pauses
    CROSS_GEN_REFS150 MB/s800 MB old genRemembered set overhead
    + +

    CPU Workloads 7 workloads

    +

    CDI beans implementing the Workload interface. Each runs real computation that generates short-lived objects as a side effect.

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    WorkloadRateWhat It Stresses
    COMPRESSION_CPU300 MB/sGzip compress/decompress temp buffers
    SERIALIZATION_CPU250 MB/sJakarta JSON object graph materialization
    CRYPTO_CPU200 MB/sSHA-256, HMAC-SHA256, AES-GCM encrypt/decrypt
    COLLECTION_CPU300 MB/sHashMap/TreeMap insert/lookup/remove churn
    STRING_CPU350 MB/sRegex, substring, StringBuilder, String.intern
    TRADING_MATCHING400 MB/sOrder/Execution object churn via matching engine
    TECHNICAL_ANALYSIS300 MB/sta4j indicator objects (SMA, EMA, RSI, MACD, BB, ATR)
    + +
    +

    Dispatch mechanism: MemoryPressureService.setAllocationMode(mode) dispatches to either a memory scenario (direct byte array manipulation) or a CPU workload (CDI bean via Instance<Workload>). Adding a new workload requires only: (1) a class implementing Workload, (2) an enum value in WorkloadType, (3) an entry in AllocationMode.

    +
    + + + +

    REST API Reference

    + + +

    All endpoints are prefixed with /trader-stream-ee/api. Responses are JSON.

    + +
    +

    System & Health

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    MethodEndpointDescription
    GET/statusInstance name, uptime, JVM info, GC type
    GET/status/clusterCluster membership (Hazelcast members)
    GET/health/checkCombined health (publisher, subscriber, WebSocket)
    GET/health/readyReadiness probe (is publisher running?)
    GET/health/liveLiveness probe
    +
    + +
    +

    GC & Pressure Control

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    MethodEndpointDescription
    GET/gc/statsGC statistics: pause times, counts, allocation rates
    GET/gc/pausesRecent GC pause events (p50/p95/p99/max)
    GET/gc/slaSLA violation counts by threshold (10ms, 50ms, 100ms)
    GET/gc/comparisonSide-by-side C4 vs G1 stats (fetches from both clusters)
    POST/pressure/mode/{mode}Activate a stress workload. {mode} = any AllocationMode enum value (e.g. STEADY_LOAD, TRADING_MATCHING)
    GET/pressure/statusCurrent active mode, iteration count, bytes allocated
    GET/pressure/modesList all available workload modes
    +
    + +
    +

    Matching & Orders

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    MethodEndpointDescription
    GET/matching/order-book/{symbol}Order book snapshot (bid/ask levels with depth)
    GET/matching/positionsAll positions (net quantity, average price, unrealized PnL)
    GET/matching/positions/{symbol}Single position detail
    GET/matching/executionsExecution history (paginated)
    POST/matching/orders/submitSubmit a new order (JSON body: symbol, side, type, price, quantity)
    DELETE/matching/orders/{orderId}Cancel an existing order
    +
    + +
    +

    Technical Analysis

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    MethodEndpointDescription
    GET/analysis/indicatorsAll symbols with current indicator values
    GET/analysis/indicators/{symbol}Indicators for a symbol (SMA, EMA, RSI, MACD, BB, ATR)
    GET/analysis/indicators/{symbol}/historyHistorical indicator snapshots (query param: count)
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    + +
    +

    Portfolio

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    MethodEndpointDescription
    GET/portfolio/snapshotFull portfolio snapshot (cash, positions, NAV, performance metrics)
    GET/portfolio/metricsPerformance metrics (Sharpe ratio, max drawdown, returns)
    POST/portfolio/rebalanceGenerate a rebalance plan (JSON body: target weights map)
    POST/portfolio/resetReset portfolio to initial state ($1M cash, no positions)
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    + +
    +

    Risk

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    MethodEndpointDescription
    GET/risk/snapshotRisk snapshot for all tracked symbols
    GET/risk/{symbol}Risk detail for a symbol (VaR, position, limits)
    GET/risk/var/{symbol}Value-at-Risk for a symbol (query param: method = PARAMETRIC, HISTORICAL, MONTE_CARLO)
    GET/risk/stressRun all stress scenarios (crash, volatility spike, liquidity crisis)
    GET/risk/exposureExposure summary across all positions
    POST/risk/limits/{symbol}Set position limit for a symbol (JSON body: limit value)
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    + +
    +

    Business Impact

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    MethodEndpointDescription
    GET/business/impactEstimated revenue lost to GC pauses
    GET/business/configBusiness impact configuration (per-trade value, window)
    POST/business/resetReset business impact counters
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    + +
    +

    Demo & JFR

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    MethodEndpointDescription
    GET/demo/presetsAvailable demo presets (YAML choreographies)
    POST/demo/preset/{id}/startStart a demo preset sequence
    POST/demo/execution/{id}/step/{n}Advance a demo preset to step n
    GET/jfr/statusJFR recording status
    POST/jfr/recording/startStart a JFR recording
    POST/jfr/recording/stopStop the current JFR recording
    GET/jfr/download/{filename}Download a JFR recording file
    +
    + + + +

    WebSocket Endpoints

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    PathPurposeMessage Format
    /market-dataStreams trades, quotes, and market depth updates in real timeJSON: trade/quote/depth events (1-in-50 sampling at high rates)
    /slaPushes GC pause violation alertsJSON: warning (>10ms), critical (>50ms), severe (>100ms)
    /executionsBroadcasts order match events via Hazelcast ITopicJSON: execution reports with orderId, price, quantity, side
    /indicatorsPushes technical analysis indicator snapshotsJSON: SMA, EMA, RSI, MACD, BB, ATR values per symbol
    + + + +

    Configuration

    + + +

    All configuration uses MicroProfile Config. Override via environment variables or microprofile-config.properties.

    + +

    Ingestion & Publisher

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    PropertyDefaultDescription
    TRADER_INGESTION_MODEAERONData ingestion mode: AERON (shared memory IPC) or DIRECT (in-process, no Aeron)
    ENABLE_PUBLISHERtrueWhether this instance publishes market data. Set to false for pure distribution nodes.
    + +

    Matching Engine

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    PropertyDefaultDescription
    matching.price.scale10000Price decimal precision. 10000 means prices are stored as cents (4 decimal places).
    matching.max.book.depth50Maximum price levels returned in order book snapshots.
    matching.max.history.size10000Maximum execution history entries retained.
    matching.default.tifGTCDefault time-in-force for orders (GTC = Good Till Cancelled).
    + +

    Technical Analysis

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    PropertyDefaultDescription
    analysis.sma.period20SMA lookback period
    analysis.ema.period12EMA lookback period
    analysis.rsi.period14RSI lookback period
    analysis.macd.fast12MACD fast EMA period
    analysis.macd.slow26MACD slow EMA period
    analysis.bb.period20Bollinger Bands SMA period
    analysis.bb.stddev2.0Bollinger Bands standard deviation multiplier
    analysis.atr.period14ATR lookback period
    analysis.bar.duration.seconds60OHLCV bar aggregation window
    analysis.max.bars500Maximum bars retained per symbol
    + +

    Risk Engine

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    PropertyDefaultDescription
    risk.var.confidence0.95VaR confidence level (95% = 1-in-20 chance of exceeding)
    risk.var.lookback.bars252Number of bars for historical VaR calculation (252 = 1 year of daily bars)
    risk.position.limit.default10000Default position notional limit per symbol
    risk.stress.crash.percent20Crash stress: sudden price drop percentage
    risk.stress.vol.spike3.0Volatility spike: multiplier on normal volatility
    risk.stress.liquidity.widen50Liquidity crisis: spread widening percentage
    + +

    Portfolio

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    PropertyDefaultDescription
    portfolio.initial.capital1000000Starting cash balance ($1,000,000)
    portfolio.risk.free.rate0.02Risk-free rate for Sharpe ratio calculation (2%)
    + +

    Business Impact

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    PropertyDefaultDescription
    business.impact.per.trade25000Average revenue per trade ($25,000)
    business.impact.window.seconds60Sliding window for missed trade calculation
    business.impact.currencyUSDCurrency for revenue display
    + + + +

    Deployment

    + + +

    Docker Compose Variants

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    FileModeUse Case
    docker-compose.ymlAeron IPCProduction mode: shared memory transport between publisher and subscriber. Requires shm_size: 512m.
    docker-compose-standard.ymlDirect (no Aeron)Simplified mode: publisher writes directly to subscriber via method call. No shared memory needed.
    docker-compose-scale.ymlTwo-cluster comparisonRuns two instances (C4 on :8080, G1 on :9080) for side-by-side GC comparison.
    docker-compose-g1.ymlG1GCSingle instance running Eclipse Temurin with G1GC.
    docker-compose-c4.ymlC4/GPGCSingle instance running Azul Platform Prime with C4.
    + +

    Quick Start

    +
    # Build and run (Aeron mode, C4 GC)
+docker compose up --build -d
+
+# Build and run (standard mode, no Aeron)
+docker compose -f docker-compose-standard.yml up --build -d
+
+# Two-cluster comparison (C4 vs G1 side-by-side)
+docker compose -f docker-compose-scale.yml up --build -d
+
+# Apply a GC stress scenario
+curl -X POST http://localhost:8080/trader-stream-ee/api/pressure/mode/STEADY_LOAD
+
+# Check GC stats after 30 seconds
+sleep 30
+curl -s http://localhost:8080/trader-stream-ee/api/gc/stats | jq
+
+# Stop the stress generator
+curl -X POST http://localhost:8080/trader-stream-ee/api/pressure/mode/OFF
    + +
    +

    Aeron IPC requires shared memory. The Docker Compose files set shm_size: 512m. On macOS with Docker Desktop, this is handled automatically. On Linux, ensure /dev/shm is large enough or adjust the value.

    +
    + + + +

    Technology Stack

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    ComponentTechnologyVersionRole
    RuntimeAzul Platform Prime21C4/GPGC pauseless GC
    ComparisonEclipse Temurin21G1GC baseline
    App ServerPayara Micro7.2025.2Jakarta EE 11 container
    Jakarta EEJakarta EE11.0.0CDI, WebSocket, JAX-RS, Concurrency
    TransportAeron1.50.0Shared memory IPC messaging
    EncodingSBE1.34.0Zero-copy binary serialization
    ClusteringHazelcast5.5.0Distributed topics + CP subsystem
    TA Libraryta4j-core0.22.4Technical analysis indicators
    MonitoringPrometheus + GrafanaLatestJMX metrics and dashboards
    + +
    + +
    +

    TradeStreamEE — A GC Benchmarking Platform. Built with Payara Micro 7 + Jakarta EE 11.

    +
    + +
    + + diff --git a/src/main/webapp/index.html b/src/main/webapp/index.html index 35f41ff..d777278 100644 --- a/src/main/webapp/index.html +++ b/src/main/webapp/index.html @@ -496,17 +496,11 @@ flex-direction: column; padding: 12px 16px; gap: 12px; + align-items: stretch; } - .scenario-buttons { - width: 100%; - } - - .scenario-btn { - flex: 1; - min-width: 70px; - padding: 10px 12px; - font-size: 0.85em; + .scenario-select { + max-width: none; } .gc-comparison-panel { @@ -594,10 +588,6 @@ min-height: 44px; } - .scenario-btn { - min-height: auto; - } - .chart-mode-label { font-size: 0.75em; padding: 3px 6px; @@ -972,47 +962,58 @@ border-radius: 8px; display: flex; align-items: center; - gap: 24px; + gap: 12px; box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); } - .scenario-buttons { - display: flex; - gap: 12px; - flex-wrap: wrap; + .scenario-select { + flex: 1; + max-width: 360px; + background: var(--bg-primary); + color: var(--text-primary); + border: 1px solid var(--border-color); + padding: 8px 12px; + border-radius: 6px; + font-size: 0.9em; + cursor: pointer; } - .scenario-btn { - background: white; - color: #475569; - border: 1px solid #cbd5e1; - padding: 8px 16px; + .apply-scenario-btn { + background: #3b82f6; + color: white; + border: none; + padding: 8px 20px; + border-radius: 6px; + cursor: pointer; font-size: 0.9em; - display: flex; - flex-direction: column; - align-items: center; - gap: 2px; - min-width: 120px; + font-weight: 600; + text-transform: uppercase; + letter-spacing: 0.05em; + transition: all 0.2s; } - .scenario-btn:hover { - background: #f1f5f9; - border-color: #94a3b8; - transform: translateY(-1px); + .apply-scenario-btn:hover { + background: #2563eb; + box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2); } - .scenario-btn.active { - background: #eff6ff; - border-color: #3b82f6; - color: #1d4ed8; - box-shadow: 0 0 0 2px rgba(59, 130, 246, 0.2); + .reset-scenario-btn { + background: #6c757d; + color: white; + border: none; + padding: 8px 20px; + border-radius: 6px; + cursor: pointer; + font-size: 0.9em; + font-weight: 600; + text-transform: uppercase; + letter-spacing: 0.05em; + transition: all 0.2s; } - .scenario-btn .hint { - font-size: 0.7em; - font-weight: 400; - opacity: 0.8; - text-transform: none; + .reset-scenario-btn:hover { + background: #5a6268; + box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2); } /* Comparison View Styles */ @@ -1302,7 +1303,9 @@

    TradeStreamEE

    Health Check Comparison + Trading Desk Blog + Help
    Export JSON
    @@ -1373,38 +1376,14 @@

    TradeStreamEE

    -

    Test Scenarios

    -
    - - - - - - - - - - - +

    Test Scenarios

    +
    +
    + +
    @@ -1678,16 +1657,7 @@

    GC Statistics

    None
    -
    - - - - -
    +
    @@ -1901,6 +1871,7 @@

    JFR Recordings

    + + + + +
    +
    +
    +

    Trading Desk

    +
    Order Management & Analytics
    +
    +
    + + +
    +
    + +
    + + + + + + + + +
    + +
    +
    + + WebSocket: Connected +
    +
    + Last Price: - +
    +
    + Open Orders: 0 +
    +
    + Today P&L: +$0 +
    +
    + +
    +
    +
    +

    Order Ticket

    + AAPL +
    +
    + + + +
    +
    +
    + +
    + + +
    +
    +
    + + +
    + + +
    + + +
    + +
    + +
    +

    Positions

    +
    +
    +
    No positions
    +
    + +
    +

    Technical Indicators

    +
    +
    +
    +
    SMA(20)
    +
    -
    +
    +
    +
    EMA(12)
    +
    -
    +
    +
    +
    RSI(14)
    +
    -
    +
    +
    +
    MACD
    +
    -
    +
    +
    +
    + +
    +
    +

    Order Book

    + 10 levels +
    +
    +
    + Price + Size + Total +
    +
    +
    Spread: -
    +
    +
    +
    + +
    +
    + + +
    +
    +
    +
    + - + - + No executions yet + - + - +
    +
    +
    + +
    +
    +
    + + + + + diff --git a/src/main/webapp/trading.js b/src/main/webapp/trading.js new file mode 100644 index 0000000..c5cbec5 --- /dev/null +++ b/src/main/webapp/trading.js @@ -0,0 +1,562 @@ +// Trading Desk JavaScript + +// Determine context path from current location +const CONTEXT_PATH = window.location.pathname.substring(0, window.location.pathname.indexOf('/', 1)) || ''; +const API_BASE = CONTEXT_PATH + '/api'; + +// State +let selectedSymbol = 'AAPL'; +let selectedSide = 'BUY'; +let selectedOrderType = 'MARKET'; +let executionsWs = null; +let executions = []; +let positions = {}; +let orderBook = { bids: [], asks: [] }; +let indicators = {}; + +// Initialize +document.addEventListener('DOMContentLoaded', () => { + initSymbolSelector(); + initOrderTicket(); + initPanelTabs(); + initDropdown(); + connectWebSocket(); + loadInitialData(); +}); + +// Dropdown Navigation +function toggleDropdown() { + const dropdown = document.getElementById('nav-dropdown'); + dropdown.classList.toggle('open'); +} + +function initDropdown() { + document.addEventListener('click', (e) => { + const dropdown = document.getElementById('nav-dropdown'); + if (dropdown && !dropdown.contains(e.target)) { + dropdown.classList.remove('open'); + } + }); +} + +// Symbol Selector +function initSymbolSelector() { + document.querySelectorAll('.symbol-btn').forEach(btn => { + btn.addEventListener('click', () => { + document.querySelectorAll('.symbol-btn').forEach(b => b.classList.remove('active')); + btn.classList.add('active'); + selectedSymbol = btn.dataset.symbol; + document.getElementById('selected-symbol').textContent = selectedSymbol; + loadOrderBook(); + loadPositions(); + loadIndicators(); + loadRiskMetrics(); + }); + }); +} + +// Order Ticket +function initOrderTicket() { + // Order type tabs + document.querySelectorAll('.order-tab').forEach(tab => { + tab.addEventListener('click', () => { + document.querySelectorAll('.order-tab').forEach(t => t.classList.remove('active')); + tab.classList.add('active'); + selectedOrderType = tab.dataset.type; + updateOrderForm(); + }); + }); + + // Side buttons + document.querySelectorAll('.side-btn').forEach(btn => { + btn.addEventListener('click', () => { + document.querySelectorAll('.side-btn').forEach(b => b.classList.remove('active')); + btn.classList.add('active'); + selectedSide = btn.dataset.side; + updateSubmitButton(); + }); + }); + + // Submit order + document.getElementById('submit-order').addEventListener('click', submitOrder); +} + +function updateOrderForm() { + const priceGroup = document.getElementById('price-group'); + const stopPriceGroup = document.getElementById('stop-price-group'); + + priceGroup.style.display = selectedOrderType === 'LIMIT' ? 'block' : 'none'; + stopPriceGroup.style.display = selectedOrderType === 'STOP' ? 'block' : 'none'; +} + +function updateSubmitButton() { + const btn = document.getElementById('submit-order'); + btn.className = 'submit-btn ' + selectedSide.toLowerCase(); + btn.textContent = 'Submit ' + (selectedSide === 'BUY' ? 'Buy' : 'Sell') + ' Order'; +} + +async function submitOrder() { + const qty = parseInt(document.getElementById('order-qty').value); + const price = parseFloat(document.getElementById('order-price').value) || 0; + const stopPrice = parseFloat(document.getElementById('stop-price').value) || 0; + const tif = document.getElementById('order-tif').value; + + const orderRequest = { + symbol: selectedSymbol, + side: selectedSide, + type: selectedOrderType, + quantity: qty, + timeInForce: tif + }; + + if (selectedOrderType === 'LIMIT') { + orderRequest.price = price; + } + if (selectedOrderType === 'STOP') { + orderRequest.stopPrice = stopPrice; + } + + try { + const response = await fetch(API_BASE + '/matching/orders', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(orderRequest) + }); + + const result = await response.json(); + + if (result.status === 'ACCEPTED') { + showNotification('Order ' + result.orderId + ' accepted', 'success'); + document.getElementById('open-orders').textContent = + (parseInt(document.getElementById('open-orders').textContent) + 1).toString(); + } else { + showNotification('Order rejected: ' + result.reason, 'error'); + } + } catch (e) { + showNotification('Failed to submit order: ' + e.message, 'error'); + } +} + +// Panel Tabs +function initPanelTabs() { + document.querySelectorAll('.panel-tab').forEach(tab => { + tab.addEventListener('click', () => { + document.querySelectorAll('.panel-tab').forEach(t => t.classList.remove('active')); + tab.classList.add('active'); + const panel = tab.dataset.panel; + document.getElementById('executions-panel').style.display = panel === 'executions' ? 'block' : 'none'; + document.getElementById('risk-panel').style.display = panel === 'risk' ? 'block' : 'none'; + }); + }); +} + +// WebSocket Connection +function connectWebSocket() { + const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:'; + const wsUrl = protocol + '//' + window.location.host + CONTEXT_PATH + '/executions'; + + executionsWs = new WebSocket(wsUrl); + + executionsWs.onopen = () => { + document.getElementById('ws-indicator').classList.add('connected'); + document.getElementById('ws-status').textContent = 'Connected'; + }; + + executionsWs.onclose = () => { + document.getElementById('ws-indicator').classList.remove('connected'); + document.getElementById('ws-status').textContent = 'Disconnected'; + setTimeout(connectWebSocket, 3000); + }; + + executionsWs.onmessage = (event) => { + const data = JSON.parse(event.data); + handleExecution(data); + }; + + executionsWs.onerror = () => { + document.getElementById('ws-status').textContent = 'Error'; + }; +} + +function handleExecution(execution) { + executions.unshift(execution); + if (executions.length > 100) executions.pop(); + renderExecutions(); + updatePositionFromExecution(execution); +} + +function updatePositionFromExecution(execution) { + const sym = execution.symbol || selectedSymbol; + if (!positions[sym]) { + positions[sym] = { quantity: 0, avgPrice: 0 }; + } + + const pos = positions[sym]; + const signedQty = execution.side === 'BUY' ? execution.quantity : -execution.quantity; + + if (pos.quantity + signedQty === 0) { + delete positions[sym]; + } else { + const newQty = pos.quantity + signedQty; + pos.avgPrice = (pos.avgPrice * pos.quantity + execution.price * signedQty) / newQty; + pos.quantity = newQty; + } + + renderPositions(); +} + +// Load Initial Data +async function loadInitialData() { + await Promise.all([ + loadOrderBook(), + loadPositions(), + loadIndicators(), + loadRiskMetrics() + ]); +} + +// Order Book +async function loadOrderBook() { + try { + const response = await fetch(API_BASE + '/matching/order-book/' + selectedSymbol); + const snapshot = await response.json(); + + if (snapshot) { + orderBook = { + bids: snapshot.bids || [], + asks: snapshot.asks || [] + }; + renderOrderBook(); + } + } catch (e) { + renderEmptyOrderBook(); + } +} + +function renderOrderBook() { + const asksContainer = document.getElementById('asks'); + const bidsContainer = document.getElementById('bids'); + + if (orderBook.asks.length === 0 && orderBook.bids.length === 0) { + renderEmptyOrderBook(); + return; + } + + // Clear containers + asksContainer.textContent = ''; + bidsContainer.textContent = ''; + + // Render asks (reversed to show highest ask at top) + const sortedAsks = [...orderBook.asks].reverse(); + let askTotal = 0; + for (const level of sortedAsks) { + askTotal += level.quantity || 0; + const row = createBookLevel('ask', level.priceDisplay || level.price, level.quantity, askTotal); + asksContainer.appendChild(row); + } + + // Render bids + let bidTotal = 0; + for (const level of orderBook.bids) { + bidTotal += level.quantity || 0; + const row = createBookLevel('bid', level.priceDisplay || level.price, level.quantity, bidTotal); + bidsContainer.appendChild(row); + } + + // Update spread + if (orderBook.asks.length > 0 && orderBook.bids.length > 0) { + const bestAsk = parseFloat(orderBook.asks[0].priceDisplay || orderBook.asks[0].price); + const bestBid = parseFloat(orderBook.bids[0].priceDisplay || orderBook.bids[0].price); + const spread = (bestAsk - bestBid).toFixed(4); + document.getElementById('spread').textContent = spread; + document.getElementById('last-price').textContent = formatPrice(bestBid); + } +} + +function createBookLevel(type, price, qty, total) { + const row = document.createElement('div'); + row.className = 'book-level ' + type; + + const priceSpan = document.createElement('span'); + priceSpan.className = 'price'; + priceSpan.textContent = formatPrice(price); + + const qtySpan = document.createElement('span'); + qtySpan.textContent = String(qty); + + const totalSpan = document.createElement('span'); + totalSpan.textContent = String(total); + + row.appendChild(priceSpan); + row.appendChild(qtySpan); + row.appendChild(totalSpan); + return row; +} + +function renderEmptyOrderBook() { + const asksContainer = document.getElementById('asks'); + const bidsContainer = document.getElementById('bids'); + + asksContainer.textContent = ''; + bidsContainer.textContent = ''; + + const emptyAsk = document.createElement('div'); + emptyAsk.className = 'book-level'; + emptyAsk.textContent = 'No asks'; + asksContainer.appendChild(emptyAsk); + + const emptyBid = document.createElement('div'); + emptyBid.className = 'book-level'; + emptyBid.textContent = 'No bids'; + bidsContainer.appendChild(emptyBid); + + document.getElementById('spread').textContent = '-'; +} + +// Positions +async function loadPositions() { + try { + const response = await fetch(API_BASE + '/matching/positions'); + const data = await response.json(); + + if (data && typeof data === 'object') { + // Backend returns Map, convert to array + const positionsArray = Object.values(data); + positionsArray.forEach(function(p) { + if (p && p.symbol) { + positions[p.symbol] = { + quantity: p.netQuantity || 0, + avgPrice: p.averageEntryPrice || 0, + marketValue: p.marketValue || 0, + unrealizedPnl: p.unrealizedPnlTicks || 0 + }; + } + }); + renderPositions(); + } + } catch (e) { + renderEmptyPositions(); + } +} + +function renderPositions() { + const container = document.getElementById('positions-list'); + container.textContent = ''; + + const symbols = Object.keys(positions); + + if (symbols.length === 0) { + const emptyRow = document.createElement('div'); + emptyRow.className = 'position-row'; + + const symSpan = document.createElement('span'); + symSpan.className = 'position-symbol'; + symSpan.textContent = 'No positions'; + emptyRow.appendChild(symSpan); + container.appendChild(emptyRow); + return; + } + + for (const sym of symbols) { + const pos = positions[sym]; + const row = document.createElement('div'); + row.className = 'position-row'; + + const symSpan = document.createElement('span'); + symSpan.className = 'position-symbol'; + symSpan.textContent = sym; + + const qtySpan = document.createElement('span'); + qtySpan.className = 'position-qty ' + (pos.quantity > 0 ? 'long' : 'short'); + qtySpan.textContent = String(pos.quantity); + + const pnlSpan = document.createElement('span'); + const pnl = pos.unrealizedPnl || 0; + pnlSpan.className = 'position-pnl ' + (pnl >= 0 ? 'positive' : 'negative'); + pnlSpan.textContent = (pnl >= 0 ? '+' : '') + formatCurrency(pnl); + + row.appendChild(symSpan); + row.appendChild(qtySpan); + row.appendChild(pnlSpan); + container.appendChild(row); + } +} + +function renderEmptyPositions() { + const container = document.getElementById('positions-list'); + container.textContent = ''; + + const emptyRow = document.createElement('div'); + emptyRow.className = 'position-row'; + + const symSpan = document.createElement('span'); + symSpan.className = 'position-symbol'; + symSpan.textContent = 'No positions'; + emptyRow.appendChild(symSpan); + container.appendChild(emptyRow); +} + +// Technical Indicators +async function loadIndicators() { + try { + const response = await fetch(API_BASE + '/analysis/' + selectedSymbol); + const data = await response.json(); + + if (data) { + indicators = data.indicators || {}; + renderIndicators(); + } + } catch (e) { + renderEmptyIndicators(); + } +} + +function renderIndicators() { + document.getElementById('sma-20').textContent = formatPrice(indicators['SMA(20)']); + document.getElementById('ema-12').textContent = formatPrice(indicators['EMA(12)']); + document.getElementById('rsi-14').textContent = indicators['RSI(14)'] ? indicators['RSI(14)'].toFixed(2) : '-'; + document.getElementById('macd').textContent = indicators['MACD(12,26)'] ? indicators['MACD(12,26)'].toFixed(4) : '-'; +} + +function renderEmptyIndicators() { + document.getElementById('sma-20').textContent = '-'; + document.getElementById('ema-12').textContent = '-'; + document.getElementById('rsi-14').textContent = '-'; + document.getElementById('macd').textContent = '-'; +} + +// Risk Metrics +async function loadRiskMetrics() { + try { + const response = await fetch(API_BASE + '/risk/metrics'); + const data = await response.json(); + + if (data) { + renderRiskMetrics(data); + } + } catch (e) { + renderEmptyRiskMetrics(); + } +} + +function renderRiskMetrics(data) { + const varEl = document.getElementById('var-95'); + varEl.textContent = formatCurrency(data.valueAtRisk95); + varEl.className = 'value ' + (data.valueAtRisk95 > 10000 ? 'warning' : 'success'); + + document.getElementById('total-exposure').textContent = formatCurrency(data.totalExposure); + document.getElementById('net-delta').textContent = data.netDelta || '0'; + + // Handle maxDrawdown - ensure it's a valid number + var drawdownValue = data.maxDrawdown; + if (drawdownValue === null || drawdownValue === undefined || isNaN(drawdownValue)) { + drawdownValue = 0; + } + document.getElementById('max-drawdown').textContent = (drawdownValue * 100).toFixed(2) + '%'; + + if (data.stressTests) { + document.getElementById('stress-flash').textContent = formatCurrency(data.stressTests.flashCrash); + document.getElementById('stress-vol').textContent = formatCurrency(data.stressTests.volatilitySpike); + } +} + +function renderEmptyRiskMetrics() { + document.getElementById('var-95').textContent = '$0'; + document.getElementById('total-exposure').textContent = '$0'; + document.getElementById('net-delta').textContent = '0'; + document.getElementById('max-drawdown').textContent = '0%'; + document.getElementById('stress-flash').textContent = '-$0'; + document.getElementById('stress-vol').textContent = '-$0'; +} + +// Executions +function renderExecutions() { + const container = document.getElementById('executions-list'); + container.textContent = ''; + + if (executions.length === 0) { + const emptyRow = createExecutionRow('-', '-', 'No executions yet', '-', '-'); + container.appendChild(emptyRow); + return; + } + + for (const exec of executions.slice(0, 20)) { + const time = new Date(exec.timestamp).toLocaleTimeString(); + const row = createExecutionRow( + time, + exec.side, + exec.symbol || selectedSymbol, + String(exec.quantity), + formatPrice(exec.price) + ); + container.appendChild(row); + } +} + +function createExecutionRow(time, side, symbol, qty, price) { + const row = document.createElement('div'); + row.className = 'execution-row'; + + const timeSpan = document.createElement('span'); + timeSpan.className = 'exec-time'; + timeSpan.textContent = time; + + const sideSpan = document.createElement('span'); + sideSpan.className = 'exec-side ' + (side.toLowerCase ? side.toLowerCase() : ''); + sideSpan.textContent = side; + + const symSpan = document.createElement('span'); + symSpan.className = 'exec-symbol'; + symSpan.textContent = symbol; + + const qtySpan = document.createElement('span'); + qtySpan.className = 'exec-qty'; + qtySpan.textContent = qty; + + const priceSpan = document.createElement('span'); + priceSpan.className = 'exec-price'; + priceSpan.textContent = price; + + row.appendChild(timeSpan); + row.appendChild(sideSpan); + row.appendChild(symSpan); + row.appendChild(qtySpan); + row.appendChild(priceSpan); + return row; +} + +// Notification +function showNotification(message, type) { + const notification = document.createElement('div'); + notification.style.cssText = 'position:fixed;top:20px;right:20px;padding:12px 20px;border-radius:6px;font-size:0.9em;z-index:1000;animation:slideIn 0.3s ease;background:' + + (type === 'success' ? 'var(--success)' : 'var(--danger)') + ';color:white;'; + notification.textContent = message; + document.body.appendChild(notification); + + setTimeout(function() { + notification.style.animation = 'slideOut 0.3s ease'; + setTimeout(function() { notification.remove(); }, 300); + }, 3000); +} + +// Formatting utilities +function formatPrice(price) { + if (price === null || price === undefined) return '-'; + return typeof price === 'number' ? price.toFixed(2) : String(price); +} + +function formatCurrency(value) { + if (value === null || value === undefined) return '$0'; + const absVal = Math.abs(value); + const prefix = value < 0 ? '-$' : '$'; + if (absVal >= 1e6) return prefix + (absVal / 1e6).toFixed(2) + 'M'; + if (absVal >= 1e3) return prefix + (absVal / 1e3).toFixed(2) + 'K'; + return prefix + absVal.toFixed(2); +} + +// Add CSS animations +(function() { + const style = document.createElement('style'); + style.textContent = '@keyframes slideIn{from{transform:translateX(100%);opacity:0}to{transform:translateX(0);opacity:1}}@keyframes slideOut{from{transform:translateX(0);opacity:1}to{transform:translateX(100%);opacity:0}}'; + document.head.appendChild(style); +})(); From 74c9c553fd1375f7fd6522e778974424427ac05a Mon Sep 17 00:00:00 2001 From: Luqman Saeed Date: Mon, 23 Mar 2026 06:18:38 +0000 Subject: [PATCH 19/33] Fix Luqman's bio --- src/main/webapp/presentation.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/main/webapp/presentation.html b/src/main/webapp/presentation.html index 8747bcf..bc0e41a 100644 --- a/src/main/webapp/presentation.html +++ b/src/main/webapp/presentation.html @@ -486,7 +486,7 @@

    About the Speakers

    Luqman Saeed

    Jakarta EE Specialist

    -

    Enterprise Java architect specializing in low-latency financial systems. Focus on Jakarta EE performance tuning and deployment.

    +

    Java Developer and Technical Writer At Payara.

    From eb1d08a84fdc0cc802f02fc7ef9717de258e07aa Mon Sep 17 00:00:00 2001 From: Luqman Saeed Date: Mon, 23 Mar 2026 09:23:08 +0000 Subject: [PATCH 20/33] Update README --- README.md | 941 +++++++++++++++++++++--------------------------------- 1 file changed, 367 insertions(+), 574 deletions(-) diff --git a/README.md b/README.md index 277a25c..f240fb6 100644 --- a/README.md +++ b/README.md @@ -1,665 +1,458 @@ -# TradeStreamEE: High-Frequency Trading Reference Architecture +# TradeStreamEE: Low-Latency Trading on Jakarta EE -TradeStreamEE shows how Jakarta EE applications can achieve low-latency, high-throughput performance by combining modern messaging (Aeron), efficient serialization (SBE), and a concurrent garbage collector like Azul C4. +A Payara Platform (Jakarta EE 11) application that serves two purposes: -The application simulates a high-frequency trading dashboard that ingests 30,000-100,000 market data messages per second, processes them in real-time, and broadcasts updates to a web frontend without the latency spikes associated with traditional Java garbage collection. +1. **GC Performance Comparison** - Side-by-side benchmark of Azul C4 vs G1GC under realistic allocation pressure from market data ingestion +2. **Trading System Reference** - A matching engine, risk engine, portfolio analytics, and technical analysis built with idiomatic Java 21 -## Core Technologies +The application simulates a high-frequency trading desk that ingests market data via Aeron IPC + SBE (zero-copy binary), processes it through a price-time priority matching engine, computes risk metrics, and streams results to a browser dashboard via WebSocket. -TradeStreamEE combines four key technologies: +## Prerequisites -### Aeron (Transport) - -Ultra-low latency messaging that bypasses the network stack when components run on the same machine. Data moves directly through shared memory instead of through kernel networking. - -### SBE (Serialization) - -Simple Binary Encoding is the financial industry standard for high-frequency trading. Encodes data as compact binary rather than human-readable text, eliminating parsing overhead and reducing memory allocation. - -### Payara Micro 7.2025.2 (Jakarta EE Runtime) - -A cloud-native Jakarta EE 11 application server that provides Jakarta CDI for dependency injection, Jakarta WebSocket for real-time browser communication, and Jakarta REST for REST endpoints. Lightweight (~100MB) and fast-starting. - -### Azul Platform Prime 21 (Runtime) - -A JVM with the C4 (Continuously Concurrent Compacting Collector) garbage collector. C4 performs cleanup concurrently with application execution, avoiding the stop-the-world pauses that cause latency spikes in traditional JVMs. Azul markets C4 as a "pauseless" collector due to its sub-millisecond pause times across all heap sizes. - -Integration: Payara Micro manages the Aeron publisher/subscriber lifecycle via CDI. The publisher encodes market data into binary using SBE, sends it through Aeron's shared memory transport, and the subscriber decodes it without allocating Java objects. This minimal garbage generation allows C4's concurrent collection to handle cleanup while maintaining flat latency at high throughput. - -## Project Motivation - -Enterprise Java applications must often balance two competing requirements: - -1. High Throughput: Ingesting massive data streams (IoT, Financial Data). -2. Low Latency: Processing data without stop-the-world pauses. - -Standard JVMs (using G1GC or ParallelGC) exhibit latency spikes under high load, potentially causing UI freezes or missed SLAs. -TradeStreamEE shows that through combining a modern, broker-less transport (Aeron) with a concurrent runtime (Azul C4), standard Jakarta EE applications can achieve microsecond-level latency and high throughput. - -### Comparison Methodology - -This project facilitates a side-by-side JVM comparison using identical architectural choices: - -* Architecture: Both clusters use AERON IPC + Zero-Copy SBE by default. -* Ingestion: Both clusters support DIRECT mode (naive string processing) via the `TRADER_INGESTION_MODE` flag. -* Variable: The only difference is the JVM (Azul C4 vs Standard G1GC). - -This isolation ensures that observed performance differences are attributable solely to the Garbage Collector. +- Docker and Docker Compose (for containerized deployment) +- Java 21+ JDK (for building from source; Maven wrapper included) ## Quick Start -### Primary Use Case: Side-by-Side JVM Comparison - -TradeStreamEE enables side-by-side JVM comparison by deploying both clusters simultaneously under identical workloads. -Both clusters execute the same application binary and configuration, isolating the garbage collector as the sole variable. -This approach allows for real-time observation of performance differences in a shared environment. +### Side-by-Side JVM Comparison (Primary Use Case) ```bash ./start-comparison.sh all ``` -This command builds and deploys both the Azul C4 cluster (ports 8080-8083) and the G1GC cluster (ports 9080-9083), along with the complete monitoring stack (Prometheus, Grafana, Loki). - -Once deployed, access the applications: - -- C4 Cluster: http://localhost:8080/trader-stream-ee/ -- G1 Cluster: http://localhost:9080/trader-stream-ee/ +Deploys both Azul C4 and G1GC clusters (3 instances each) plus a full monitoring stack (Prometheus, Grafana, Loki). -The "GC Pause Time (Live)" chart in Grafana shows the performance characteristics: C4 maintains consistent latency (≤1ms pauses), while G1GC exhibits spikes and sawtooth patterns under load. +| Endpoint | URL | +|:-----------|:----------------------------------------| +| C4 Cluster | http://localhost:8080/trader-stream-ee/ | +| G1 Cluster | http://localhost:9080/trader-stream-ee/ | +| Grafana | http://localhost:3000 (admin/admin) | +| Prometheus | http://localhost:9090 | Other options: -- `./start-comparison.sh` - Clusters only, no monitoring stack (faster for rapid development) -- `./stop-comparison.sh` - Stop all comparison services - ---- - -### Single-JVM Testing (start.sh) - -Use `./start.sh` for testing individual configurations or architectural modes. This runs ONE JVM at a time for focused testing. - -| Scenario | Command | JVM | Architecture | Purpose | -|:-------------------------|:-----------------------------|:-----------------------|:------------------|:-----------------------------------------------------------------| -| Modern Stack | `./start.sh azul-aeron` | Azul Prime (C4) | Aeron (Optimized) | Peak performance with concurrent GC + zero-copy transport | -| Legacy Baseline | `./start.sh standard-direct` | Eclipse Temurin (G1GC) | Direct (Heavy) | Baseline: high allocation on G1GC, expect jitter | -| Fixing Legacy Code | `./start.sh azul-direct` | Azul Prime (C4) | Direct (Heavy) | Show how C4 stabilizes high-allocation apps without code changes | -| Optimizing Standard Java | `./start.sh standard-aeron` | Eclipse Temurin (G1GC) | Aeron (Optimized) | Test if architectural optimization helps G1GC performance | - -Utilities: - -- `./start.sh logs` - View live logs -- `./start.sh stop` - Stop containers -- `./start.sh clean` - Deep clean (remove volumes/images) - -## Technical Architecture - -The application implements a Hybrid Architecture: - -1. Ingestion Layer (Broker-less): - * Uses Aeron IPC (Inter-Process Communication) via an Embedded Media Driver. - * Bypasses the network stack for ultra-low latency between components. -2. Serialization Layer (Zero-Copy): - * Uses Simple Binary Encoding (SBE). - * Decodes messages directly from memory buffers (Flyweight pattern) without allocating Java Objects, reducing GC pressure. -3. Application Layer (Jakarta EE 11): - * Payara Micro 7 serves as the container. - * CDI manages the lifecycle of the Aeron Publisher and Subscriber. - * Jakarta Concurrency 3.1 uses Virtual Threads for high-throughput memory pressure simulation. - * WebSockets push updates to the browser. -4. Runtime Layer: - * Azul Platform Prime uses the C4 Collector to clean up garbage created by the WebSocket layer concurrently, ensuring a flat latency profile. - -## Tech Stack - -| Component | Technology | Role | -|:-----------|:--------------------------------------|:------------------------------------------| -| Runtime | Azul Platform Prime 21 | Concurrent JVM with C4 garbage collector. | -| App Server | Payara Micro 7.2025.2 (Jakarta EE 11) | Cloud-native Jakarta EE runtime. | -| Transport | Aeron | Low-latency, high-throughput messaging. | -| Encoding | SBE (Simple Binary Encoding) | Binary serialization (FIX standard). | -| Frontend | HTML5 / Chart.js | Real-time visualization via WebSockets. | -| Build | Docker / Maven | Containerized deployment. | - -## Ingestion Architectures - -The application supports two ingestion architectures, configurable via the `TRADER_INGESTION_MODE` environment variable (`AERON` or `DIRECT`). Both Azul C4 and G1GC clusters can run either mode, allowing for flexible performance testing. - -```mermaid -graph TD - subgraph DIRECT["DIRECT Mode (High Allocation)"] - D1[Publisher] --> D2["JSON + 1KB padding"] - D2 --> D3[Broadcaster] - D3 --> D4["WebSocket → Browser"] - end - - subgraph AERON["AERON Mode (Zero-Copy, Default)"] - A1[Publisher] --> A2["SBE Binary"] - A2 --> A3["Aeron IPC"] - A3 --> A4["Fragment Handler"] - A4 --> A5[Broadcaster] - A5 --> A6["WebSocket → Browser"] - end - - classDef heavy fill:#dc3545,stroke:#c82333,stroke-width:2px,color:#fff - classDef optimized fill:#28a745,stroke:#218838,stroke-width:2px,color:#fff - - class D1,D2,D3,D4 heavy - class A1,A2,A3,A4,A5,A6 optimized +```bash +./start-comparison.sh # Clusters only, no monitoring +./start-comparison.sh direct # DIRECT ingestion mode (GC stress test) +./start-comparison.sh all direct # Full deployment, GC stress mode +./stop-comparison.sh # Tear everything down ``` -### DIRECT Mode (High Allocation Path) - -Goal: Simulate a standard, naive enterprise application with high object allocation rates. - -Use Case: Stress-testing GC behavior under high allocation pressure. - -Implementation: - -1. Publisher generates synthetic market data as POJOs -2. Allocation converts data to JSON String using StringBuilder (high allocation) -3. Artificial Load wraps JSON in 1KB padding to stress the Garbage Collector -4. Transport via direct method call to MarketDataBroadcaster -5. WebSocket pushes heavy JSON to browser - -Performance Characteristics: - -- High Allocation: Gigabytes of temporary String objects per second -- GC Pressure: Frequent pauses on G1GC; C4's concurrent collection maintains sub-millisecond pauses - -### AERON Mode (Optimized Path, Default) - -Goal: Low-latency financial pipeline using off-heap memory and zero-copy semantics. - -Use Case: Production-grade performance with minimal GC impact. - -Implementation: - -1. Publisher generates synthetic market data -2. SBE Encoder writes binary format to off-heap direct buffer (zero-copy) -3. Aeron IPC publishes to shared memory ring buffer (kernel bypass) -4. Fragment Handler reads using SBE "Flyweights" (reusable views, no allocation) -5. Transformation converts to compact JSON for WebSocket -6. WebSocket pushes lightweight JSON to browser - -Performance Characteristics: - -- Low Allocation: Minimal garbage in the ingestion hot-path -- High Throughput: Aeron IPC handles millions of messages/sec with sub-microsecond latency -- Both JVMs benefit from reduced allocation; C4 maintains consistent latency profile +### Single-JVM Testing -## Configuration & Tuning - -You can tweak the performance characteristics via `docker-compose.yml` or the `.env` file (if created). - -### Ingestion Modes (`TRADER_INGESTION_MODE`) - -Controls how data moves from the Publisher to the Processor. - -* `AERON` (Default): Uses the high-speed binary ring buffer. -* `DIRECT`: Bypasses Aeron; generates Strings directly in the Publisher loop. Useful for isolating Transport vs. GC overhead. - -### JVM Tuning & Configuration - -Heap size varies by deployment type: - -| Deployment | Dockerfiles | Heap Size | Reason | -|:----------------------------------|:------------------------------------------------|:----------|:--------------------------------------------------------| -| Single Instance (`start.sh`) | `Dockerfile`, `Dockerfile.standard` | 8GB | Full heap for maximum throughput | -| Clustered (`start-comparison.sh`) | `Dockerfile.scale`, `Dockerfile.scale.standard` | 4GB | Balanced for 3-instance deployments (~12GB per cluster) | - -Common JVM options: - -```dockerfile -# Azul Prime (C4) - 8GB single instance example -ENV JAVA_OPTS="-Xms8g -Xmx8g \ - -XX:+AlwaysPreTouch \ - -XX:+UseTransparentHugePages \ - -XX:-UseBiasedLocking \ - -XX:+UseStringDeduplication \ - -XX:+OptimizeStringConcat \ - -XX:+UseContainerSupport \ - -XX:MaxRAMPercentage=75.0 \ - -Djava.net.preferIPv4Stack=true" - -# Standard JDK (G1GC) - 4GB cluster example -ENV JAVA_OPTS="-Xms4g -Xmx4g \ - -XX:+UseG1GC \ - -XX:+AlwaysPreTouch \ - -XX:+UseTransparentHugePages \ - -XX:+UseStringDeduplication \ - -XX:+OptimizeStringConcat \ - -XX:+UseContainerSupport \ - -XX:MaxRAMPercentage=75.0 \ - -Djava.net.preferIPv4Stack=true" +```bash +./start.sh azul-aeron # Azul Prime (C4) + Aeron (peak performance) +./start.sh standard-direct # Eclipse Temurin (G1GC) + Direct (baseline) +./start.sh azul-direct # C4 with high allocation (stabilizes legacy code) +./start.sh standard-aeron # G1GC with Aeron (tests architectural improvement) ``` -Infrastructure improvements: - -- Pre-touch Memory (`-XX:+AlwaysPreTouch`): Pre-allocates heap pages to eliminate runtime allocation overhead -- Transparent Huge Pages (`-XX:+UseTransparentHugePages`): Reduces TLB misses for large memory operations -- String Deduplication (`-XX:+UseStringDeduplication`): Automatically deduplicates duplicate strings in the background, reducing heap pressure for JSON-heavy workloads (applied to both C4 and G1GC for fair comparison) -- String Concat Optimization (`-XX:+OptimizeStringConcat`): Optimizes StringBuilder chains used extensively in JSON construction -- Container Memory Awareness (`-XX:+UseContainerSupport` + `-XX:MaxRAMPercentage=75.0`): Enables JVM to respect container memory limits and allocate heap dynamically (75% of container memory) -- Biased Locking Disabled (`-XX:-UseBiasedLocking`): Disabled for C4 (no generational object aging), applied consistently for fair comparison -- GC Logging: Detailed event logging with decorators for analysis -- Rate-Limited Logging: Prevents log flooding during high-throughput operations - -Note: Azul Platform Prime uses C4 by default; we don't specify `-XX:+UseG1GC` since C4 is the native, optimized collector for Azul Prime. - -### GC Monitoring & Stress Testing - -The application includes comprehensive GC monitoring and memory pressure testing capabilities to show JVM performance differences: - -#### GC Statistics Collection - -GCStatsService collects real-time garbage collection metrics via JMX MXBeans: - -* Collection Metrics: Total collection count and time for each GC type -* Pause Time Analysis: Individual pause durations with percentile calculations (P50, P95, P99, P99.9, Max) -* Memory Usage: Heap memory utilization (total, used, free) -* Recent Pause History: Last 100 pause times for trend analysis -* GC Phase Breakdown: Sub-phase timing analysis for detailed performance investigation (vendor-specific) - -#### Memory Pressure Stress Testing - -MemoryPressureService generates controlled memory allocation using scenario-based testing that targets specific garbage collector weaknesses. Rather than generic high-allocation stress, each scenario exposes fundamental algorithmic differences between G1 and C4. - -Design Principles: - -* Lower allocation rates (100-500 MB/sec) that allow normal GC behavior rather than pathological thrashing -* Multi-threaded allocation (4 threads) mirroring production web servers and trading systems -* Focus on pause time metrics rather than throughput -* Scenarios that work consistently across 2GB-4GB heap sizes - -Test Scenarios: - -| Scenario | Allocation | Live Set | What It Tests | -|:----------------|:-----------|:-----------------------|:----------------------------------------------------------| -| STEADY_LOAD | 200 MB/sec | 512 MB stable | Baseline young generation collection behavior | -| GROWING_HEAP | 150 MB/sec | 100 MB → 2 GB over 60s | Mixed collection pause scaling with live set size | -| PROMOTION_STORM | 300 MB/sec | 1 GB (50% survival) | Old generation collection efficiency under high promotion | -| FRAGMENTATION | 200 MB/sec | 1 GB fragmented | Compaction behavior with small objects (100-1000 bytes) | -| CROSS_GEN_REFS | 150 MB/sec | 800 MB in old gen | Remembered set overhead from old→young references | - -Expected Behavior: - -* G1: Stop-the-world pauses that scale with live set size, remembered set scanning overhead, compaction pauses under fragmentation -* C4: Pauses ≤1ms across all scenarios due to concurrent collection, no remembered sets, concurrent compaction - -Each scenario uses 4 parallel virtual threads to generate allocation load. This multi-threaded pattern shows G1's stop-the-world impact when all application threads must pause simultaneously. - -#### GC Scenario Control - -The web UI includes scenario selection controls that allow: - -* Real-time switching between test scenarios -* Visual feedback showing current scenario and allocation rate -* Side-by-side pause time visualization with phase breakdown -* Observation of collector behavior under specific pathological conditions - -This feature enables targeted observation of G1's architectural limitations versus C4's concurrent collection model. - -## Monitoring & Observability - -When running `./start-comparison.sh all`, the following monitoring stack is deployed: - -| Component | Access | Purpose | -|:------------------|:------------------------------------|:------------------------------| -| Grafana Dashboard | http://localhost:3000 (admin/admin) | JVM comparison dashboards | -| Prometheus | http://localhost:9090 | Metrics collection | -| Loki | http://localhost:3100 | Log aggregation | -| C4 Application | http://localhost:8080 (Traefik LB) | Azul C4 cluster (3 instances) | -| G1 Application | http://localhost:9080 (Traefik LB) | G1GC cluster (3 instances) | - -Direct instance access: - -- C4 instances: http://localhost:8081, http://localhost:8082, http://localhost:8083 -- G1 instances: http://localhost:9081, http://localhost:9082, http://localhost:9083 - -### Stress Testing - -Use the UI or API to apply memory pressure scenarios and observe GC behavior differences: +Cluster modes (3 instances + Traefik LB + Hazelcast): ```bash -# Apply test scenarios via API -curl -X POST http://localhost:8080/api/pressure/mode/STEADY_LOAD # Baseline test -curl -X POST http://localhost:8080/api/pressure/mode/GROWING_HEAP # Mixed GC scaling -curl -X POST http://localhost:8080/api/pressure/mode/PROMOTION_STORM # Old gen pressure -curl -X POST http://localhost:8080/api/pressure/mode/FRAGMENTATION # Compaction test -curl -X POST http://localhost:8080/api/pressure/mode/CROSS_GEN_REFS # Remembered set test -curl -X POST http://localhost:8080/api/pressure/mode/OFF # Stop pressure - -# Get current GC statistics -curl http://localhost:8080/api/gc/stats # C4 cluster -curl http://localhost:9080/api/gc/stats # G1GC cluster - -# Get current pressure status -curl http://localhost:8080/api/pressure/status +./start.sh cluster # C4 + Aeron cluster +./start.sh cluster-standard # G1GC + Aeron cluster +./start.sh cluster-direct # C4 + Direct cluster +./start.sh cluster-dynamic 5 # Scale to N instances on the fly ``` -Scenario Details: +Utilities: `logs`, `status`, `stop`, `clean` -| Scenario | Rate | Target | Purpose | -|:----------------|:---------|:-----------------------|:------------------------------------------| -| STEADY_LOAD | 200 MB/s | 512 MB live set | Tests baseline young GC pause behavior | -| GROWING_HEAP | 150 MB/s | Grows to 2 GB | Tests mixed collection pause scaling | -| PROMOTION_STORM | 300 MB/s | 1 GB with 50% survival | Tests old generation under high promotion | -| FRAGMENTATION | 200 MB/s | 1 GB fragmented | Tests compaction with small objects | -| CROSS_GEN_REFS | 150 MB/s | 800 MB old gen | Tests remembered set scanning overhead | +## Architecture Overview -### Java Flight Recorder (JFR) +``` +MarketDataPublisher (synthetic) + | SBE binary encode (off-heap) + v +Aeron IPC (shared memory, stream 1001) + | + v +MarketDataFragmentHandler (SBE flyweight decode, zero-copy) + | + +---> MatchingEngine (order matching, execution) + +---> BarAggregator (OHLCV bars, ta4j indicators) + +---> MarketDataBroadcaster (JSON, 1:50 sampling) + | + +---> Hazelcast ITopic (cluster fan-out) + | + v + WebSocket (/market-data, /executions, /indicators, /sla) + | + v + Browser Dashboard +``` -TradeStreamEE includes Java Flight Recorder integration for deep performance analysis and production profiling. -JFR provides low-overhead continuous monitoring with the ability to capture detailed event traces for post-mortem analysis. +**GC monitoring runs in parallel:** `GCPauseMonitor` registers as a JMX `NotificationListener` on all `GarbageCollectorMXBean` instances, records every pause duration, computes percentiles (P50/P95/P99/P999), and pushes SLA violation events to WebSocket clients. -#### Custom JFR Events +### Ingestion Modes -The application defines domain-specific JFR events that correlate application behavior with JVM performance: +Configurable via `TRADER_INGESTION_MODE` (`AERON` or `DIRECT`). -| Event Name | Description | Use Case | -|:--------------------------|:-------------------------------------------|:------------------------------------------| -| `trade.published` | Trade execution published to Aeron | Measure publishing throughput and timing | -| `quote.published` | Quote (bid/ask) published | Monitor quote rate per symbol | -| `marketdepth.published` | Level 2 order book depth update | Track L2 data frequency | -| `sbe.encode` | SBE binary encoding operation | Analyze serialization latency | -| `sbe.decode` | SBE binary decoding operation | Measure deserialization overhead | -| `aeron.backpressure` | Aeron publication backpressure detected | Identify flow control issues | -| `burst.mode.activated` | Burst mode triggered (1x/3x/5x multiplier) | Correlate burst patterns with GC behavior | -| `gc.sla.violation` | GC pause exceeded 10ms SLA threshold | Track latency SLA breaches | -| `websocket.broadcast` | Message broadcast to WebSocket clients | Monitor frontend delivery rate | -| `message.batch.processed` | Batch of market messages processed | Observe batch processing timing | +| Mode | Path | Allocation | Purpose | +|:----------------|:-----------------------------------------------------------------------|:---------------|:--------------------------------------------------| +| AERON (default) | Publisher -> SBE binary -> Aeron IPC -> FragmentHandler -> Broadcaster | Low (off-heap) | Production-grade zero-copy pipeline | +| DIRECT | Publisher -> JSON + 1KB padding -> Broadcaster | High (on-heap) | Stress-test GC behavior under allocation pressure | -These events appear in JFR alongside standard JVM events (GC, allocation, CPU), enabling correlation between domain metrics (message rates, encoding latency) and runtime behavior (GC pauses, heap usage). +### Domain Model -#### JFR Configuration +``` +MatchingEngine + |-- PriceTimePriorityMatcher (price-time priority algorithm) + |-- StopOrderTracker (stop, stop-limit, trailing-stop promotion) + |-- IcebergOrderHandler (display quantity management) + |-- OrderBook (NavigableMap>) + | + +--> Execution --> PositionTracker --> RiskEngine + | | |-- Historical VaR + | | |-- Parametric VaR + | | |-- Stress scenarios (sealed interface) + | | +-- Exposure summary + | | + | +---> PortfolioService + | |-- NAV tracking + | |-- Sharpe ratio, max drawdown, win rate + | +-- Rebalance plan generation + | + +--> BarAggregator --> IndicatorService + |-- SMA, EMA, RSI, MACD, Bollinger Bands, ATR + +-- ta4j integration +``` -JFR is enabled by default in all Docker images with two recording modes: +`Order` and `Price` are Java records. `Price` uses fixed-point arithmetic (`long` ticks at 1/10000 scale) to avoid floating-point issues in the matching hot path. `StressScenario` is a sealed interface with five record implementations (`FlashCrash`, `VolatilitySpike`, `LiquidityFreeze`, `CorrelationBreakdown`, `InterestRateShock`). -**Default Recording (Continuous)** -- Runs from JVM startup -- Circular buffer: 1 hour max age, 1GB max size -- Dumps to disk on JVM exit (`dumponexit=true`) -- Location: `/opt/payara/recordings/recording.jfr` -- Purpose: Post-mortem analysis if JVM crashes or exits +## Tech Stack -**Ad-hoc Snapshots (On-Demand)** -- Started via web UI or REST API -- Time-bounded captures (default: 60 seconds) -- Dump immediately after capture window -- Purpose: Capture specific test scenarios (stress tests, benchmark runs) +| Component | Technology | Version | +|:-------------------|:---------------------------------------------------------|:--------------------------------------------------------------| +| Language | Java 21 | Records, pattern matching, virtual threads, sealed interfaces | +| Runtime | Jakarta EE 11 / Payara Micro 7 | CDI, WebSocket, REST, Concurrency 3.1 | +| Transport | Aeron | 1.50.0 (IPC shared memory, kernel bypass) | +| Serialization | SBE (Simple Binary Encoding) | 1.34.0 (FIX standard, flyweight decoders) | +| Technical Analysis | ta4j | 0.22.4 | +| Clustering | Hazelcast | 5.5.0 (distributed topics, atomic counters) | +| GC Comparison | Azul Platform Prime 21 (C4) vs Eclipse Temurin 21 (G1GC) | | +| Frontend | HTML5 + Chart.js + vanilla JS | No build tools, no frameworks | +| Observability | Prometheus + Grafana + Loki + JFR | | +| Build | Maven (wrapper) + Docker | Multi-stage builds | -#### JFR Web UI +## Project Structure -The web dashboard includes a JFR management interface accessible via the **JFR** button in the header: +```text +src/main/java/fish/payara/trader/ + aeron/ Aeron MediaDriver, Publisher, Subscriber, FragmentHandler + analysis/ BarAggregator, IndicatorService (ta4j bridge) + concurrency/ VirtualThreadExecutor qualifier, ManagedExecutorDefinition + demo/ DemoPresetService, scenario orchestration + dto/ REST response objects + gc/ GCStatsService, GCStats (JMX MXBean collection) + impact/ BusinessImpactCalculator (GC pauses -> dollar impact) + jfr/ Custom JFR events, recording management + matching/ + book/ PriceTimeOrderBook, OrderBook (NavigableMap-based) + config/ MatchingConfig + engine/ MatchingEngine (central orchestrator) + exception/ Matching exceptions + history/ ExecutionHistory (circular buffer, query API) + model/ Order, Execution, Price, Side, OrderType, OrderStatus (records/enums) + position/ PositionService, PositionTracker (ConcurrentHashMap) + jfr/ Matching-specific JFR events + websocket/ ExecutionBroadcaster + monitoring/ GCPauseMonitor, SLAMonitorService, MemoryPressure + portfolio/ PortfolioService (NAV, Sharpe, drawdown, rebalance) + pressure/ MemoryPressureService, AllocationMode, Workload implementations + workload/ 8 CPU/GC stress workloads (TradingMatching, Collection, Compression, etc.) + risk/ + model/ Position, RiskSnapshot, StressScenario (sealed), VarResult + RiskEngine VaR computation, stress testing + RiskConfig Position limits + rest/ 16 JAX-RS resource classes (ApplicationConfig, CorsFilter) + util/ Instance utilities + websocket/ MarketDataBroadcaster (Hazelcast topic + WebSocket fan-out) + +src/main/resources/ + sbe/market-data.xml SBE schema (23 message types, FIX-inspired) + demo-presets.yml 5 demo scenario definitions + microprofile-config.properties + hazelcast-config.xml Hazelcast 5.5.0 (TCP/IP discovery for Docker) + +src/main/webapp/ + index.html Main dashboard (GC charts, market data, demo presets) + trading.html Trading desk (order entry, order book, positions) + comparison.html C4 vs G1 side-by-side view + presentation.html Conference presentation mode + blog.html Documentation page + health.html Health check + help.html Usage guide + swagger.html API documentation + trading.js Trading desk client logic + pressure-modes.js Shared GC stress scenario selector -1. **List Recordings**: View all available `.jfr` files with size and timestamp -2. **Download**: Click to download recordings for local analysis in JDK Mission Control -3. **Capture Snapshot**: Start a new 60-second recording capture +monitoring/ + grafana/ Provisioning configs, dashboards + jmx-exporter/ Prometheus JMX exporter + prometheus/ Prometheus config + loki/ Log aggregation config + promtail/ Log shipping config +``` -Example workflow: +## REST API + +All endpoints under `/api/`. + +### Trading + +| Method | Path | Description | +|:-------|:---------------------------------|:------------------------| +| POST | `/matching/orders` | Submit an order | +| DELETE | `/matching/orders/{orderId}` | Cancel an order | +| GET | `/matching/orders` | List orders | +| GET | `/matching/orders/book/{symbol}` | Order book snapshot | +| GET | `/matching/order-book/{symbol}` | Order book for a symbol | +| GET | `/matching/positions` | All positions | +| GET | `/matching/positions/{symbol}` | Position for a symbol | +| GET | `/matching/executions` | Execution history | + +### Risk & Portfolio + +| Method | Path | Description | +|:-------|:------------------------|:---------------------------| +| GET | `/risk` | Risk overview | +| GET | `/risk/{symbol}` | Risk snapshot for a symbol | +| GET | `/risk/metrics` | Risk metrics | +| GET | `/risk/var` | Value at Risk | +| GET | `/risk/stress` | Stress test results | +| GET | `/risk/exposure` | Portfolio exposure | +| POST | `/risk/limits/{symbol}` | Set position limits | +| GET | `/portfolio` | Portfolio overview | +| GET | `/portfolio/snapshot` | NAV snapshot | +| GET | `/portfolio/metrics` | Sharpe, drawdown, win rate | +| POST | `/portfolio/rebalance` | Generate rebalance plan | +| POST | `/portfolio/reset` | Reset portfolio state | +| GET | `/analysis/{symbol}` | Technical indicators | + +### Monitoring & GC + +| Method | Path | Description | +|:-------|:-------------------|:-------------------------------| +| GET | `/gc/stats` | GC pause percentiles | +| GET | `/gc/comparison` | Cluster comparison data | +| GET | `/gc/pauses` | Recent pause history | +| GET | `/gc/sla` | SLA violation counts | +| POST | `/gc/reset` | Reset GC statistics | +| POST | `/gc/sla/reset` | Reset SLA counters | +| POST | `/gc/pauses/reset` | Reset pause history | +| GET | `/status` | System status | +| GET | `/status/cluster` | Hazelcast cluster info | +| GET | `/health/check` | Health check | +| GET | `/health/ready` | Readiness probe | +| GET | `/health/live` | Liveness probe | +| GET | `/business/impact` | Business impact of GC pauses | +| GET | `/business/config` | Business impact configuration | +| POST | `/business/reset` | Reset business impact counters | + +### Memory Pressure + +| Method | Path | Description | +|:-------|:------------------------|:------------------------------| +| POST | `/pressure/mode/{mode}` | Set GC stress scenario | +| GET | `/pressure/status` | Current pressure status | +| GET | `/pressure/modes` | Available scenarios and types | + +Memory scenarios: `STEADY_LOAD`, `GROWING_HEAP`, `PROMOTION_STORM`, `FRAGMENTATION`, `CROSS_GEN_REFS`, `OFF` + +CPU workloads: `TRADING_MATCHING`, `TECHNICAL_ANALYSIS`, `COMPRESSION`, `CRYPTO`, `COLLECTION`, `SERIALIZATION`, `STRING` + +### Demo Presets & JFR + +| Method | Path | Description | +|:-------|:---------------------------------------|:-------------------------------| +| GET | `/demo/presets` | List all demo presets | +| GET | `/demo/preset/{id}` | Get a demo preset | +| POST | `/demo/preset/{id}/start` | Start a demo preset | +| GET | `/demo/execution/{executionId}` | Get execution status | +| POST | `/demo/execution/{id}/step/{n}` | Step through a preset | +| POST | `/demo/execution/{executionId}/cancel` | Cancel a preset execution | +| GET | `/jfr/status` | JFR availability | +| GET | `/jfr/recordings` | List recordings | +| GET | `/jfr/files` | Available .jfr downloads | +| GET | `/jfr/stats` | JFR statistics | +| POST | `/jfr/recording/start` | Start a time-bounded recording | +| POST | `/jfr/recording/stop` | Stop a recording | +| GET | `/jfr/download/{file}` | Download a recording | + +## GC Monitoring & Stress Testing + +### Memory Pressure Scenarios + +`MemoryPressureService` generates controlled allocation pressure with 4 parallel virtual threads. Each scenario targets specific GC algorithm weaknesses. + +| Scenario | Rate | Live Set | What It Tests | +|:----------------|:---------|:------------------------|:-------------------------------------| +| STEADY_LOAD | 200 MB/s | 512 MB stable | Baseline young generation collection | +| GROWING_HEAP | 150 MB/s | 100 MB to 2 GB over 60s | Mixed collection pause scaling | +| PROMOTION_STORM | 300 MB/s | 1 GB (50% survival) | Old gen under high promotion | +| FRAGMENTATION | 200 MB/s | 1 GB fragmented | Compaction behavior | +| CROSS_GEN_REFS | 150 MB/s | 800 MB in old gen | Remembered set scanning overhead | + +Expected behavior: G1GC shows stop-the-world pauses that scale with live set size. C4 maintains pauses at or below 1ms across all scenarios. + +### JFR Integration + +Java Flight Recorder runs by default (circular buffer, 1h/1GB, dumps on exit). 14 custom JFR events correlate domain metrics with JVM behavior: + +Market data: `TradePublished`, `QuotePublished`, `MarketDepthPublished`, `BatchProcessed`, `WebSocketBroadcast` +Pipeline: `SbeEncode`, `SbeDecode`, `BackpressureEvent`, `BurstModeActivated`, `SlaViolation` +Matching: `OrderSubmitted`, `OrderMatched`, `StopTriggered`, `OrderCanceled` + +Capture ad-hoc snapshots from the web UI or via REST: ```bash -# 1. Navigate to http://localhost:8080/trader-stream-ee/ -# 2. Click "JFR" button in header -# 3. Click "Capture 60s Snapshot" -# 4. Wait 60 seconds (or run a stress test scenario) -# 5. Click "Download" on the new recording -# 6. Open in JDK Mission Control for analysis +curl -X POST "http://localhost:8080/api/jfr/recording/start?name=gc-stress&durationSeconds=120" +curl http://localhost:8080/api/jfr/download/gc-stress.jfr -o analysis.jfr +jmc analysis.jfr ``` -#### JFR REST API +## Configuration & Tuning -Programmatic control via REST endpoints: +### Environment Variables -```bash -# Check JFR availability and status -curl http://localhost:8080/api/jfr/status +| Variable | Values | Default | Description | +|:------------------------|:--------------------------------|:--------|:------------------------------| +| `TRADER_INGESTION_MODE` | `AERON`, `DIRECT` | `AERON` | Data ingestion architecture | +| `ENABLE_PUBLISHER` | `true`, `false` | - | Enable market data publishing | +| `JFR_ENABLED` | `true`, `false` | `true` | Enable default JFR recording | +| `JVM_TYPE` | `azul-c4`, `eclipse-temurin-g1` | - | Label for monitoring | -# List all recordings (active and stopped) -curl http://localhost:8080/api/jfr/recordings +### JVM Heap Sizes -# List available .jfr files for download -curl http://localhost:8080/api/jfr/files +| Deployment | Dockerfiles | Heap | Reason | +|:------------------------|:------------------------------------------------|:-----|:-------------------| +| Single instance | `Dockerfile`, `Dockerfile.standard` | 8 GB | Maximum throughput | +| Clustered (3 instances) | `Dockerfile.scale`, `Dockerfile.scale.standard` | 4 GB | ~12 GB per cluster | -# Start a time-bounded recording -curl -X POST "http://localhost:8080/api/jfr/recording/start?name=gc-stress&durationSeconds=120" +### Notable JVM Flags (Both) -# Stop a recording early -curl -X POST "http://localhost:8080/api/jfr/recording/stop?id={recordingId}" +`AlwaysPreTouch`, `UseTransparentHugePages`, `UseStringDeduplication`, `OptimizeStringConcat`, `UseContainerSupport`, `MaxRAMPercentage=75.0`, `--add-opens` for Aeron's `Unsafe` usage (`jdk.internal.misc`, `sun.nio.ch`, `java.nio`) -# Download a specific recording -curl -O http://localhost:8080/api/jfr/download/{filename}.jfr -``` - -#### Analyzing Recordings +G1GC instances add: `G1HeapRegionSize=16m`, `MaxGCPauseMillis=10`, `ParallelGCThreads=12`, `ConcGCThreads=4` -**Using JDK Mission Control (JMC)** +## Testing ```bash -# Download from container -docker cp trader-stream-c4-1:/opt/payara/recordings/{filename}.jfr ./analysis.jfr - -# Open in JMC -jmc analysis.jfr +./test.sh quick # Unit tests only (~30 seconds) +./test.sh full # Unit + integration tests +./test.sh unit # Unit tests +./test.sh integration # Integration tests +./test.sh coverage # Generate JaCoCo report +./test.sh benchmarks # JMH benchmarks ``` -Key JMC views for HFT analysis: -- **Automatic Analysis** (⚡): Flags GC pauses, allocation hotspots, thread contention -- **Timeline**: Visualize event occurrence over time (zoom into GC pauses) -- **Memory → GC Graph**: Correlate heap usage with pause times -- **Event Browser**: Filter custom events (`trade.published`, `aeron.backpressure`) -- **Code → Hot Methods**: Identify CPU bottlenecks in ingestion path - -**Using CLI (jfr command)** +Maven commands: ```bash -# Summary statistics -docker exec trader-stream-c4-1 jfr summary /opt/payara/recordings/{filename}.jfr - -# Print specific events -docker exec trader-stream-c4-1 jfr print --events trade.published /opt/payara/recordings/{filename}.jfr - -# View metadata (event types) -docker exec trader-stream-c4-1 jfr metadata /opt/payara/recordings/{filename}.jfr +./mvnw test # Unit tests (JaCoCo enforced) +./mvnw verify # Unit + integration (Failsafe) +./mvnw clean package -Pquick-test # Exclude integration/load/benchmark +./mvnw clean verify -Pcoverage # CI coverage report (relaxed thresholds) ``` -#### Analysis Use Cases +Coverage gates (default): 70% instruction, 60% branch, 80% class. -**GC Latency Investigation** -1. Capture snapshot during stress test scenario -2. Open in JMC → Timeline view -3. Zoom into GC pause lanes -4. Check if `trade.published` events continue during pauses (C4) or stop (G1GC) +Test stack: JUnit 5.13.4 + Mockito 5.20.0 + AssertJ 3.27.6. Tests instantiate objects directly with field-injected mocks. No CDI containers in unit tests. -**Backpressure Analysis** -1. Filter Event Browser for `aeron.backpressure` -2. Examine stack traces to identify source -3. Correlate with GC pause timing -4. Check if burst mode activation precedes backpressure - -**Encoding Performance** -1. View `sbe.encode` events -2. Analyze `encodeTimeNanos` distribution -3. Identify symbols with largest payloads -4. Correlate with allocation rate (`jdk.ObjectAllocationInNewTLAB`) - -#### JVM Options - -JFR flags configured in Dockerfiles: - -```dockerfile -# Default recording (continuous, dumps on exit) --XX:StartFlightRecording=name=production,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g - -# Flight recorder options --XX:FlightRecorderOptions=samplethreads=true,stackdepth=256 - -# JFR logging --Xlog:jfr*=info -``` - -**Disable JFR** (if needed): +## Building ```bash -export JFR_ENABLED=false # Disables default recording via StartFlightRecording +./mvnw clean package # Full build with tests +./mvnw clean package -DskipTests # Build without tests ``` -Note: Ad-hoc snapshots still work even when default recording is disabled. +Build pipeline: SBE code generation (`exec-maven-plugin` against `market-data.xml`) -> compile (Java 21) -> WAR packaging -> test -> JaCoCo report -> Spotless format check. -## Project Structure +Maven wrapper included. -```text -src/main/ -├── java/fish/payara/trader/ -│ ├── aeron/ # Aeron Publisher, Subscriber, FragmentHandler -│ ├── sbe/ # Generated SBE Codecs (Flyweights) -│ ├── websocket/ # Jakarta WebSocket Endpoint -│ ├── rest/ # Status, GC Stats, Memory Pressure, and JFR Resources -│ ├── gc/ # GC statistics collection and monitoring -│ ├── pressure/ # Memory pressure testing services -│ └── monitoring/ # GC monitoring services (GCPauseMonitor, MemoryPressure) -├── resources/sbe/ -│ └── market-data.xml # SBE Schema Definition -└── webapp/ - └── index.html # Dashboard UI (Chart.js + WebSocket) with JFR controls +## Docker -monitoring/ -├── grafana/ -│ ├── provisioning/ # Grafana datasources and dashboard configs -│ └── dashboards/ # Pre-configured JVM comparison dashboard -├── jmx-exporter/ # JMX exporter configuration and JAR -├── prometheus/ # Prometheus configuration -├── loki/ # Loki log aggregation config -└── promtail/ # Promtail log shipping config - -start-comparison.sh # Automated deployment script for JVM comparison -stop-comparison.sh # Stop script for comparison services -docker-compose-c4.yml # Azul Prime C4 cluster setup -docker-compose-g1.yml # Eclipse Temurin G1GC cluster setup -docker-compose-monitoring.yml # Monitoring stack (Prometheus, Grafana, Loki) -Dockerfile.scale # Multi-stage build for C4 instances -Dockerfile.scale.standard # Build for G1GC instances -``` +Four Dockerfiles for the JVM comparison matrix: -## Testing & Quality Assurance +| Dockerfile | Runtime | JVM | Cluster | +|:----------------------------|:-------------------|:-----|:--------------------------| +| `Dockerfile` | Azul Prime 21 | C4 | No | +| `Dockerfile.standard` | Eclipse Temurin 21 | G1GC | No | +| `Dockerfile.scale` | Azul Prime 21 | C4 | Yes (Hazelcast + Traefik) | +| `Dockerfile.scale.standard` | Eclipse Temurin 21 | G1GC | Yes (Hazelcast + Traefik) | -### Quick Test Execution +All use multi-stage builds: compile on `azul/zulu-openjdk:21`, copy WAR to runtime image. Payara Micro 7.2026.3 downloaded at build time. -```bash -# Quick test (unit tests only, ~30 seconds) -./test.sh quick +Six docker-compose files: `docker-compose.yml` (single C4), `docker-compose-standard.yml` (single G1), `docker-compose-scale.yml` (dynamic cluster), `docker-compose-c4.yml` (3-instance C4 + Traefik + JMX exporter), `docker-compose-g1.yml` (3-instance G1 + Traefik + JMX exporter), `docker-compose-monitoring.yml` (Prometheus + Grafana + Loki + Promtail). -# Full test suite (unit + integration, 2-5 minutes) -./test.sh full +## Design Patterns -# Maven commands -./mvnw test # Unit tests -./mvnw jacoco:report # Generate coverage report -``` +- **Flyweight** - SBE decoders wrap DirectBuffer at different offsets. No allocation per message. +- **Sealed Interface** - `StressScenario` with five record implementations. Pattern matching dispatches stress tests. +- **Strategy** - `MatchingStrategy` interface with `PriceTimePriorityMatcher` implementation. +- **Observer** - JMX `NotificationListener` on GC beans. JFR events as telemetry observation layer. +- **CDI Qualifier** - `@VirtualThreadExecutor` injects a virtual-thread-based `ManagedExecutorService` via `@ManagedExecutorDefinition(virtual = true)`. + +## SBE Wire Protocol -### Current Test Coverage +`market-data.xml` defines 23 FIX-inspired message types. Code generated at build time into `fish.payara.trader.sbe`. All prices use `int64` fixed-point (multiply by 10000 for decimal). Currently 5 message types are decoded in the ingestion path: Trade, Quote, MarketDepth, OrderAck, Heartbeat. The remaining 18 exist as pre-built infrastructure for the full trading lifecycle. -Working Tests (170/170 passing): +## Key Design Decisions -- Monitoring & GC: Full coverage of SLA monitoring logic and GC notification handling. -- REST Resources: Comprehensive tests for Memory Pressure and GC Stats endpoints. -- Core Logic: Validated `AllocationMode` and concurrency configurations. -- WebSockets: Verified `MarketDataBroadcaster` functionality and session management. +1. **Intentional garbage generation** - JSON construction via `StringBuilder` in the broadcast path is deliberately unoptimized. This creates measurable allocation pressure to demonstrate GC behavior differences. -Coverage Metrics: +2. **1:50 sampling** - Only every 50th message reaches the browser. All messages still flow through the SBE decoder and matching engine. The browser gets 600-2000 updates/sec, not 30,000-100,000. -- Tests: 170 unit tests with 100% pass rate -- Monitoring Coverage: ≥90% (SLAMonitor, GCStatsService) -- REST API Coverage: ≥85% (Resources and DTOs) -- Instruction Coverage: High coverage for business logic; integration logic relies on `test.sh`. +3. **In-memory state** - Order books, positions, execution history, and bar data live in ConcurrentHashMaps and NavigableMaps. No database. Restarting loses all state. `persistence.xml` exists but is unused. -### Test Categories +4. **Hazelcast for cluster fan-out** - In multi-instance mode, market data published on one instance is distributed to all instances via a Hazelcast `ITopic`. WebSocket clients on any instance receive all messages. -1. Unit Tests: Core component testing in isolation (`src/test/java`) -2. Integration Tests: Service layer interactions and resource validation -3. Performance Tests: Load testing and benchmarks via scripts -4. Memory Pressure Tests: GC behavior validation and stress scenarios +5. **Burst pattern** - The publisher runs 500 base iterations (3 messages each) per cycle with 5us parks. Burst multiplier spikes to 5x during "news events" (seconds 20-25 of each minute) and 3x during "market close" (seconds 45-50). Circuit breaker stops after 50 consecutive failures. ## Trading Terms Glossary -For readers unfamiliar with high-frequency trading concepts, this glossary explains the domain-specific terms used throughout this project. - -### Market Data & Trading - -| Term | Definition | -|:------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| High-Frequency Trading (HFT) | Automated trading strategies that execute thousands or millions of orders per second, requiring sub-millisecond latency. HFT systems are extremely sensitive to processing delays, making garbage collection pauses a critical performance concern. | -| Order Book / Limit Order Book | A data structure containing all buy and sell orders for a security, organized by price level. Each price level (e.g., $100.50) contains multiple orders waiting to be filled. Order books are updated thousands of times per second in active markets. | -| Bid | The highest price a buyer is willing to pay for a security. | -| Ask | The lowest price a seller is willing to accept. | -| Bid-Ask Spread | The difference between bid and ask prices, representing the cost of immediate execution. | -| Market Tick / Price Tick | A single price update event in the market. High-frequency systems process tens of thousands of ticks per second, with each tick containing price, volume, and timestamp information. | -| L1 Data (Level 1) | Best bid and ask prices only (top of book). | -| L2 Data (Level 2) | Multiple price levels showing aggregate size at each price (market depth). | -| L3 Data (Level 3) | Individual orders at each price level (full order book). | -| Price Ladder | The hierarchical structure of bid and ask prices in an order book. Bid prices decrease as you move away from the best bid; ask prices increase as you move away from the best ask. | -| Crossed Market | An abnormal market condition where the best bid price is higher than the best ask price. This should never occur in normal trading and indicates a data error or system malfunction. | -| Flash Crash | A sudden, severe market downturn followed by rapid recovery, often triggered by algorithmic trading systems. The 2010 Flash Crash saw the Dow Jones drop nearly 1,000 points in minutes. These events create extreme allocation bursts as systems process massive order flow. | -| SLA (Service Level Agreement) | Performance guarantees, such as "99.9% of trades execute within 5ms". GC pauses can cause SLA violations if they exceed latency budgets. | - -### Memory & Performance - -| Term | Definition | -|:----------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| Allocation Rate | The speed at which a program creates new objects in memory, measured in bytes per second (e.g., "200 MB/sec allocation rate"). Higher allocation rates increase garbage collection pressure. | -| GC Pressure / Memory Pressure | The workload placed on the garbage collector due to object allocation. Higher pressure leads to more frequent garbage collection cycles and potentially longer pause times. | -| Pause Time / Stop-the-World Pause | Duration when a garbage collector halts all application threads to perform cleanup. For HFT systems, even millisecond-level pauses can cause missed trading opportunities or regulatory violations. | -| Concurrent Collection | Garbage collection that runs simultaneously with application threads, avoiding stop-the-world pauses. Azul C4 is a concurrent collector; G1GC uses stop-the-world pauses. | -| Live Set | The total size of objects currently reachable from application roots. Larger live sets increase GC work during marking phases. G1's mixed collection pause time scales with live set size. | -| Promotion / Promotion Rate | Moving objects from young generation to old generation after surviving multiple collections. High promotion rates force frequent old generation collections. | -| Remembered Set | G1 data structure tracking references from old generation to young generation. Scanning remembered sets adds overhead to young GC pauses. C4 has no generational boundaries, eliminating this overhead. | -| Cross-Generational Reference | A reference from an old generation object to a young generation object. G1 must track these via card tables and remembered sets; every such reference update triggers a write barrier. | -| Heap Fragmentation | Memory fragmentation where free space is scattered in small chunks. G1 must pause to compact fragmented regions; C4 compacts concurrently using read barriers. | -| Tenured Objects / Old Generation | Long-lived objects that survive multiple garbage collection cycles and are promoted to the "old generation" heap region. Order books are typically tenured since they persist across many tick updates. | - -### Data Structures & Patterns - -| Term | Definition | -|:-----------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| Columnar Storage / Columnar Format | Storing data by column rather than by row (e.g., all prices in one array, all volumes in another). This improves cache locality and enables SIMD operations. Our `MarketTickPattern` uses this approach. | -| Flyweight Pattern | A design pattern that reuses objects to minimize memory allocation. SBE codecs use flyweights, they're views over byte buffers rather than allocated objects. | -| Zero-Copy | Data processing without copying bytes between buffers. Aeron IPC and SBE both use zero-copy techniques to minimize allocation and improve throughput. | -| Hierarchical Object Graph | Objects containing references to other objects in a tree structure. Our `OrderBookPattern` creates these: OrderBook, PriceLevel[], Order[]. | - -### Serialization & Messaging - -| Term | Definition | -|:----------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| SBE (Simple Binary Encoding) | A binary serialization format designed for financial trading systems. FIX (Financial Information eXchange) protocol organization standardized it for ultra-low-latency scenarios. | -| Aeron IPC (Inter-Process Communication) | A messaging transport that uses shared memory for same-machine communication, bypassing kernel networking overhead. Achieves sub-microsecond latency. | -| Message Batching | Grouping multiple messages together for efficient processing. Our `MarketTickPattern` simulates batches of 50-200 ticks processed together. | - -### Performance Metrics - -| Term | Definition | -|:----------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| Latency | The time delay between an event occurring and the system responding. HFT systems target sub-millisecond (< 1ms) latency for end-to-end trade execution. | -| Throughput | The volume of work completed per unit time (e.g., "1 million messages per second"). HFT systems require both high throughput and low latency simultaneously. | -| P50 (Median) | 50% of requests complete faster than this value. | -| P95 (95th Percentile) | 95% of requests complete faster than this value (1 in 20 is slower). | -| P99 (99th Percentile) | 99% of requests complete faster than this value (1 in 100 is slower). | -| Jitter | Variability in latency. Even with good average latency, high jitter (unpredictable spikes) is unacceptable for HFT. G1GC tends to show jitter under load; C4 maintains consistency. | - -### Trading System Architecture - -| Term | Definition | -|:-------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| Ingestion Pipeline / Ingestion Layer | The component responsible for receiving and processing incoming market data feeds. Must handle extreme throughput (millions of messages/sec) with minimal latency. | -| Hot Path / Critical Path | The code execution path that runs most frequently and must be highly optimized. In HFT, the ingestion and order routing paths are hot paths where even nanoseconds matter. | -| Market Event | Significant market occurrences that trigger increased trading activity: market open/close, economic announcements, earnings releases, or sudden price movements. | +### Market Data + +| Term | Definition | +|:------------------------------|:--------------------------------------------------------------------------------------------------------------------| +| High-Frequency Trading (HFT) | Automated strategies executing thousands of orders per second. Sub-millisecond latency is a hard requirement. | +| Order Book / Limit Order Book | Data structure containing all buy and sell orders, organized by price level. Updated thousands of times per second. | +| Bid / Ask | Highest price a buyer will pay / lowest price a seller will accept. | +| Bid-Ask Spread | Difference between best bid and best ask. Cost of immediate execution. | +| L1 / L2 / L3 Data | Level 1: best bid/ask. Level 2: multiple price levels with depth. Level 3: individual orders. | +| Crossed Market | Best bid exceeds best ask. Indicates data error or system malfunction. | + +### Memory & GC + +| Term | Definition | +|:----------------------|:---------------------------------------------------------------------------------------------| +| Allocation Rate | Speed of object creation (bytes/sec). Higher rates increase GC pressure. | +| Live Set | Total size of reachable objects. G1's mixed collection pause time scales with live set size. | +| Concurrent Collection | GC running alongside application threads. C4 is concurrent; G1GC uses stop-the-world pauses. | +| Promotion | Moving objects from young to old generation after surviving multiple collections. | +| Remembered Set | G1 data structure tracking old-to-young references. Scanning adds overhead. C4 has none. | +| Heap Fragmentation | Free space scattered in small chunks. G1 pauses to compact; C4 compacts concurrently. | + +### Serialization & Performance + +| Term | Definition | +|:----------------|:------------------------------------------------------------------------------------------| +| SBE | Simple Binary Encoding. FIX-standard binary format for ultra-low-latency trading systems. | +| Aeron IPC | Shared-memory messaging transport. Bypasses kernel networking. Sub-microsecond latency. | +| Flyweight | Reusable objects over byte buffers. SBE decoders are flyweights, not allocated objects. | +| Zero-Copy | Processing data without copying between buffers. Both Aeron IPC and SBE use zero-copy. | +| P50 / P95 / P99 | Percentile latencies. 50% / 95% / 99% of requests complete faster than this value. | +| Jitter | Latency variability. High jitter (unpredictable spikes) is unacceptable for HFT. | ## References -- [Azul C4 Garbage Collection Documentation](https://docs.azul.com/prime/c4-garbage-collection.html) -- [Azul Platform Prime Product Page](https://www.azul.com/products/components/pgc/) -- [Explanation of Azul's "Pauseless" Garbage Collector](https://stackoverflow.com/questions/4491260/explanation-of-azuls-pauseless-garbage-collector) -- [What To Expect When Evaluating Azul Platform Prime](https://docs.azul.com/prime/what-to-expect) -- [Apache Kafka Performance on Azul Platform Prime vs Vanilla OpenJDK](https://www.azul.com/blog/apache-kafka-performance-on-azul-platform-prime-vs-vanilla-openjdk/) +- [Azul C4 Garbage Collection](https://docs.azul.com/prime/c4-garbage-collection.html) +- [Azul Platform Prime](https://www.azul.com/products/components/pgc/) +- [Aeron Messaging](https://aeron.io/) +- [Simple Binary Encoding](https://github.com/Real-Logic-FIX/Simple-Binary-Encoding) +- [Payara Platform](https://www.payara.fish/) +- [ta4j Technical Analysis](https://ta4j.github.io/) ## License From f9854bde850ba4ef4f8e1a03abdcc5a1d68927a6 Mon Sep 17 00:00:00 2001 From: Luqman Saeed Date: Mon, 11 May 2026 10:33:44 +0000 Subject: [PATCH 21/33] Webinar --- docker-compose-c4.yml | 23 ++- docker-compose-g1.yml | 8 +- .../grafana/dashboards/jvm-comparison.json | 136 ++++++++++++++++-- monitoring/scrape-traefik.sh | 9 ++ .../payara/trader/demo/DemoPresetService.java | 4 +- .../payara/trader/rest/HealthResource.java | 2 +- start-comparison.sh | 13 ++ stop-comparison.sh | 8 ++ 8 files changed, 184 insertions(+), 19 deletions(-) create mode 100755 monitoring/scrape-traefik.sh diff --git a/docker-compose-c4.yml b/docker-compose-c4.yml index 1879984..b8f9b18 100644 --- a/docker-compose-c4.yml +++ b/docker-compose-c4.yml @@ -6,7 +6,7 @@ services: traefik-c4: - image: traefik:v3.6.5 + image: traefik:v3.6.12 container_name: trader-traefik-c4 command: - "--api.dashboard=true" @@ -51,7 +51,12 @@ services: - ENABLE_PUBLISHER=true - JVM_TYPE=azul-c4 - JAVA_OPTS=-Xms4g -Xmx4g - -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=20,filesize=10M + -XX:+PrintCompilation + -XX:+TraceDeoptimization + -XX:+LogVMOutput + -XX:-DisplayVMOutput + -XX:LogFile=/opt/payara/gc-logs/hotspot.log --add-opens java.base/jdk.internal.misc=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED @@ -95,7 +100,12 @@ services: - ENABLE_PUBLISHER=true - JVM_TYPE=azul-c4 - JAVA_OPTS=-Xms4g -Xmx4g - -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=20,filesize=10M + -XX:+PrintCompilation + -XX:+TraceDeoptimization + -XX:+LogVMOutput + -XX:-DisplayVMOutput + -XX:LogFile=/opt/payara/gc-logs/hotspot.log --add-opens java.base/jdk.internal.misc=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED @@ -138,7 +148,12 @@ services: - ENABLE_PUBLISHER=true - JVM_TYPE=azul-c4 - JAVA_OPTS=-Xms4g -Xmx4g - -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=20,filesize=10M + -XX:+PrintCompilation + -XX:+TraceDeoptimization + -XX:+LogVMOutput + -XX:-DisplayVMOutput + -XX:LogFile=/opt/payara/gc-logs/hotspot.log --add-opens java.base/jdk.internal.misc=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED diff --git a/docker-compose-g1.yml b/docker-compose-g1.yml index 4daf1c4..38edfa4 100644 --- a/docker-compose-g1.yml +++ b/docker-compose-g1.yml @@ -6,7 +6,7 @@ services: traefik-g1: - image: traefik:v3.6.5 + image: traefik:v3.6.12 container_name: trader-traefik-g1 command: - "--api.dashboard=true" @@ -58,7 +58,7 @@ services: -XX:ParallelGCThreads=12 -XX:ConcGCThreads=4 -XX:-ExplicitGCInvokesConcurrent - -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=20,filesize=10M --add-opens java.base/jdk.internal.misc=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED @@ -114,7 +114,7 @@ services: -XX:ParallelGCThreads=12 -XX:ConcGCThreads=4 -XX:-ExplicitGCInvokesConcurrent - -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=20,filesize=10M --add-opens java.base/jdk.internal.misc=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED @@ -170,7 +170,7 @@ services: -XX:ParallelGCThreads=12 -XX:ConcGCThreads=4 -XX:-ExplicitGCInvokesConcurrent - -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=5,filesize=10M + -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=20,filesize=10M --add-opens java.base/jdk.internal.misc=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED diff --git a/monitoring/grafana/dashboards/jvm-comparison.json b/monitoring/grafana/dashboards/jvm-comparison.json index 080bda3..546ef43 100644 --- a/monitoring/grafana/dashboards/jvm-comparison.json +++ b/monitoring/grafana/dashboards/jvm-comparison.json @@ -4,7 +4,127 @@ "tags": [ "jvm", "gc", "performance", "comparison" ], "timezone": "browser", "editable": true, - "panels": [ { + "panels": [ + { + "id": 10, + "title": "Response Latency - JIT Warmup (P50 / P99)", + "type": "timeseries", + "description": "Request latency from Traefik edge. Watch for the latency drop during the first few minutes as JIT compiles hot methods.", + "gridPos": { + "h": 10, + "w": 24, + "x": 0, + "y": 0 + }, + "targets": [ + { + "expr": "histogram_quantile(0.50, rate(traefik_service_request_duration_seconds_bucket{job=~\"traefik-c4|traefik-g1\"}[30s]))", + "legendFormat": "P50 - {{job}}", + "refId": "A" + }, + { + "expr": "histogram_quantile(0.99, rate(traefik_service_request_duration_seconds_bucket{job=~\"traefik-c4|traefik-g1\"}[30s]))", + "legendFormat": "P99 - {{job}}", + "refId": "B" + } + ], + "fieldConfig": { + "defaults": { + "unit": "s", + "custom": { + "axisLabel": "Response Time (s)", + "drawStyle": "line", + "lineInterpolation": "smooth", + "fillOpacity": 10, + "pointSize": 3, + "showPoints": "never", + "spanNulls": false, + "lineWidth": 2, + "gradientMode": "scheme" + }, + "thresholds": { + "mode": "absolute", + "steps": [ + { "value": 0, "color": "green" }, + { "value": 0.5, "color": "yellow" }, + { "value": 1, "color": "red" } + ] + } + }, + "overrides": [ + { + "matcher": { "id": "byRegexp", "options": ".*P99.*" }, + "properties": [ + { "id": "lineWidth", "value": 1 }, + { "id": "dashes", "value": true }, + { "id": "dashLength", "value": 5 } + ] + }, + { + "matcher": { "id": "byRegexp", "options": ".*traefik-c4.*" }, + "properties": [ + { "id": "color", "value": { "mode": "fixed", "fixedColor": "green" } } + ] + }, + { + "matcher": { "id": "byRegexp", "options": ".*traefik-g1.*" }, + "properties": [ + { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } + ] + } + ] + }, + "options": { + "tooltip": { "mode": "multi", "sort": "desc" }, + "legend": { "displayMode": "table", "placement": "bottom", "calcs": [ "mean", "max", "lastNotNull" ] } + } + }, + { + "id": 11, + "title": "Request Throughput", + "type": "timeseries", + "description": "Requests per second through each cluster. Use this to correlate throughput changes with the warmup latency drop.", + "gridPos": { + "h": 6, + "w": 24, + "x": 0, + "y": 10 + }, + "targets": [ + { + "expr": "sum(rate(traefik_service_requests_total{code=~\"2..\", job=~\"traefik-c4|traefik-g1\"}[30s])) by (job)", + "legendFormat": "{{job}} req/s", + "refId": "A" + } + ], + "fieldConfig": { + "defaults": { + "unit": "reqps", + "custom": { + "axisLabel": "Requests/sec", + "drawStyle": "line", + "lineInterpolation": "smooth", + "fillOpacity": 15, + "lineWidth": 2 + } + }, + "overrides": [ + { + "matcher": { "id": "byRegexp", "options": ".*traefik-c4.*" }, + "properties": [ + { "id": "color", "value": { "mode": "fixed", "fixedColor": "green" } } + ] + }, + { + "matcher": { "id": "byRegexp", "options": ".*traefik-g1.*" }, + "properties": [ + { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } + ] + } + ] + } + }, + { "id": 1, "title": "GC Pause Time Comparison (P99)", "type": "timeseries", @@ -12,7 +132,7 @@ "h": 8, "w": 12, "x": 0, - "y": 0 + "y": 16 }, "targets": [ { "expr": "histogram_quantile(0.99, rate(jvm_gc_collection_time_ms[5m])) by (jvm_type, gc)", @@ -60,7 +180,7 @@ "h": 8, "w": 12, "x": 12, - "y": 0 + "y": 16 }, "targets": [ { "expr": "rate(jvm_gc_collection_count[5m]) by (jvm_type, gc)", @@ -83,7 +203,7 @@ "h": 8, "w": 12, "x": 0, - "y": 8 + "y": 24 }, "targets": [ { "expr": "jvm_memory_heap_used by (jvm_type, instance) / jvm_memory_heap_max * 100", @@ -106,7 +226,7 @@ "h": 8, "w": 12, "x": 12, - "y": 8 + "y": 24 }, "targets": [ { "expr": "jvm_threads_current by (jvm_type, instance)", @@ -129,7 +249,7 @@ "h": 8, "w": 24, "x": 0, - "y": 16 + "y": 32 }, "targets": [ { "expr": "rate(jvm_gc_collection_time_ms[1m]) by (jvm_type, le)", @@ -145,7 +265,7 @@ "h": 8, "w": 24, "x": 0, - "y": 24 + "y": 40 }, "targets": [ { "expr": "histogram_quantile(0.99, rate(jvm_gc_collection_time_ms[5m])) by (jvm_type)", @@ -181,4 +301,4 @@ "to": "now" } } -} \ No newline at end of file +} diff --git a/monitoring/scrape-traefik.sh b/monitoring/scrape-traefik.sh new file mode 100755 index 0000000..a1034f8 --- /dev/null +++ b/monitoring/scrape-traefik.sh @@ -0,0 +1,9 @@ +#!/usr/bin/env bash +OUT="/data/home/seeraj/development/repos/payara/payara/trader-stream-ee/monitoring/metrics.log" +echo "=== Scraping traefik-c4 at http://localhost:8084/metrics/prometheus every 2s ===" > "$OUT" +while true; do + echo "--- $(date -Iseconds) ---" >> "$OUT" + curl -sf http://localhost:8084/metrics/prometheus >> "$OUT" 2>&1 + echo "" >> "$OUT" + sleep 2 +done diff --git a/src/main/java/fish/payara/trader/demo/DemoPresetService.java b/src/main/java/fish/payara/trader/demo/DemoPresetService.java index 2d81b12..e018cca 100644 --- a/src/main/java/fish/payara/trader/demo/DemoPresetService.java +++ b/src/main/java/fish/payara/trader/demo/DemoPresetService.java @@ -36,10 +36,10 @@ public class DemoPresetService { private HazelcastInstance hazelcastInstance; private Map getActiveExecutions() { - if (hazelcastInstance != null) { + if (hazelcastInstance != null && hazelcastInstance.getLifecycleService().isRunning()) { return hazelcastInstance.getMap(EXECUTIONS_MAP_NAME); } - return Map.of(); + return new HashMap<>(); } /** diff --git a/src/main/java/fish/payara/trader/rest/HealthResource.java b/src/main/java/fish/payara/trader/rest/HealthResource.java index 9b4da01..b998f73 100644 --- a/src/main/java/fish/payara/trader/rest/HealthResource.java +++ b/src/main/java/fish/payara/trader/rest/HealthResource.java @@ -72,7 +72,7 @@ public Response healthCheck() { health.put("gcCollectors", jvm.gcCollectors()); health.put("javaVersion", System.getProperty("java.version")); - boolean clusterMode = hazelcastInstance != null && hazelcastInstance.getCluster().getMembers().size() > 1; + boolean clusterMode = hazelcastInstance != null && !hazelcastInstance.getCluster().getMembers().isEmpty(); health.put("clusterMode", clusterMode); health.put("status", allHealthy ? "healthy" : "unhealthy"); diff --git a/start-comparison.sh b/start-comparison.sh index 7979677..6a18481 100755 --- a/start-comparison.sh +++ b/start-comparison.sh @@ -133,6 +133,19 @@ echo "✓ G1 cluster started" echo "Waiting for clusters to initialize..." sleep 10 +# Start Traefik metrics scraper +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +SCRAPER_PID_FILE="$SCRIPT_DIR/monitoring/.scraper.pid" +if [ -f "$SCRAPER_PID_FILE" ]; then + kill "$(cat "$SCRAPER_PID_FILE")" 2>/dev/null + rm -f "$SCRAPER_PID_FILE" +fi +echo "Starting Traefik metrics scraper..." +"$SCRIPT_DIR/monitoring/scrape-traefik.sh" & +SCRAPER_PID=$! +echo "$SCRAPER_PID" > "$SCRAPER_PID_FILE" +echo "✓ Metrics scraper started (PID $SCRAPER_PID)" + # Check cluster status echo "" echo "Checking cluster status..." diff --git a/stop-comparison.sh b/stop-comparison.sh index 20a3e6f..7d6b343 100755 --- a/stop-comparison.sh +++ b/stop-comparison.sh @@ -2,6 +2,14 @@ echo "Stopping JVM comparison demo..." +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +SCRAPER_PID_FILE="$SCRIPT_DIR/monitoring/.scraper.pid" +if [ -f "$SCRAPER_PID_FILE" ]; then + kill "$(cat "$SCRAPER_PID_FILE")" 2>/dev/null + rm -f "$SCRAPER_PID_FILE" + echo "Metrics scraper stopped." +fi + docker compose -f docker-compose-g1.yml down docker compose -f docker-compose-c4.yml down docker compose -f docker-compose-monitoring.yml down From e550ccc79319d0f6018c75db828df49fcd190df2 Mon Sep 17 00:00:00 2001 From: Luqman Saeed Date: Mon, 11 May 2026 18:42:59 +0000 Subject: [PATCH 22/33] Make JFR opt-in and harden the recording REST endpoint --- .gitignore | 11 ++ Dockerfile | 4 +- Dockerfile.scale | 19 +- Dockerfile.scale.standard | 19 +- Dockerfile.standard | 4 +- docker-compose-c4.yml | 3 + docker-compose-g1.yml | 12 +- docker-entrypoint.sh | 26 +-- .../grafana/dashboards/jvm-comparison.json | 165 +++++++++++------- .../trader/rest/JfrRecordingResource.java | 150 ++++++++++++---- start-comparison.sh | 8 +- 11 files changed, 275 insertions(+), 146 deletions(-) diff --git a/.gitignore b/.gitignore index 0d54de7..8045249 100644 --- a/.gitignore +++ b/.gitignore @@ -36,3 +36,14 @@ monitoring/gc-logs/ monitoring/prometheus/data/ monitoring/grafana/data/ monitoring/loki/data/ + +# Runtime artefacts produced by start-comparison.sh and the running clusters. +# Bind-mounted JFR dumps land here; the curated workshop set lives in +# workshop/recordings/ instead. +monitoring/recordings/ +monitoring/metrics.log +monitoring/.scraper.pid + +# Crash dumps from any local JVM (Zing safepoint aborts in particular). +hs_err_pid*.log +hs_err_pid* diff --git a/Dockerfile b/Dockerfile index 8a1eff4..d1444e7 100644 --- a/Dockerfile +++ b/Dockerfile @@ -52,7 +52,9 @@ EXPOSE 9009 # # Azul Platform Prime uses C4 GC by default - no need to specify -XX:+UseZGC # -# JFR is enabled by default - entrypoint script handles JFR_ENABLED environment variable +# JFR is OFF by default. Ad-hoc recordings are produced via the /api/jfr REST +# endpoints. To enable an always-on circular recording, set JFR_ALWAYS_ON=true +# in the environment; see docker-entrypoint.sh. ENV JAVA_OPTS="-Xms8g \ -Xmx8g \ -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ diff --git a/Dockerfile.scale b/Dockerfile.scale index d5cb891..a96faf6 100644 --- a/Dockerfile.scale +++ b/Dockerfile.scale @@ -48,7 +48,9 @@ EXPOSE 5701 # Reduced heap size (4GB vs 8GB) for multi-instance deployments. # Azul Platform Prime uses C4 GC by default - no need to specify -XX:+UseZGC # -# JFR is enabled by default - disable via JFR_ENABLED=false environment variable +# JFR is OFF by default. Workshop scenarios use ad-hoc recordings via the REST API +# (POST /api/jfr/recording/start). To enable a long-running always-on circular +# recording, set JFR_ALWAYS_ON=true in the environment. ENV JAVA_OPTS="-Xms4g \ -Xmx4g \ -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ @@ -63,8 +65,6 @@ ENV JAVA_OPTS="-Xms4g \ -XX:+UseStringDeduplication \ -XX:+OptimizeStringConcat \ -Djava.net.preferIPv4Stack=true \ - -XX:StartFlightRecording=\${JFR_ENABLED:-name=c4-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal} \ - -XX:FlightRecorderOptions=stackdepth=256 \ -Xlog:jfr*=info" # Health check @@ -78,10 +78,9 @@ COPY src/main/resources/hazelcast-config.xml /opt/payara/hazelcast-config.xml RUN sed -i 's/payara-trader-cluster/payara-trader-c4/' /opt/payara/hazelcast-config.xml && \ sed -i 's/trader-stream-/trader-stream-c4-/' /opt/payara/hazelcast-config.xml -# Run Payara Micro with the WAR -# NOTE: --nohazelcast flag is REMOVED to enable clustering -# Use custom Hazelcast configuration with split-brain protection -CMD java ${JAVA_OPTS} -jar payara-micro.jar \ - --deploy /opt/payara/trader-stream-ee.war \ - --contextroot trader-stream-ee \ - --hzconfigfile /opt/payara/hazelcast-config.xml +# Run Payara Micro with the WAR. +# NOTE: --nohazelcast is omitted so clustering stays enabled. +# When JFR_ALWAYS_ON=true is set, the shell substitution below appends a +# circular always-on recording. Otherwise only ad-hoc recordings via the +# /api/jfr REST endpoints will produce .jfr files. +CMD ["sh", "-c", "exec java $JAVA_OPTS ${JFR_ALWAYS_ON:+-XX:StartFlightRecording=name=${JFR_RECORDING_NAME:-c4-cluster},filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal -XX:FlightRecorderOptions=stackdepth=256} -jar payara-micro.jar --deploy /opt/payara/trader-stream-ee.war --contextroot trader-stream-ee --hzconfigfile /opt/payara/hazelcast-config.xml"] diff --git a/Dockerfile.scale.standard b/Dockerfile.scale.standard index d47e17a..e5d1b45 100644 --- a/Dockerfile.scale.standard +++ b/Dockerfile.scale.standard @@ -47,7 +47,9 @@ EXPOSE 5701 # # Reduced heap size (4GB vs 8GB) for multi-instance deployments. # -# JFR is enabled by default - disable via JFR_ENABLED=false environment variable +# JFR is OFF by default. Workshop scenarios use ad-hoc recordings via the REST API +# (POST /api/jfr/recording/start). To enable a long-running always-on circular +# recording, set JFR_ALWAYS_ON=true in the environment. ENV JAVA_OPTS="-Xms4g \ -Xmx4g \ -XX:+UseG1GC \ @@ -66,8 +68,6 @@ ENV JAVA_OPTS="-Xms4g \ -XX:+UseStringDeduplication \ -XX:+OptimizeStringConcat \ -Djava.net.preferIPv4Stack=true \ - -XX:StartFlightRecording=\${JFR_ENABLED:-name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal} \ - -XX:FlightRecorderOptions=stackdepth=256 \ -Xlog:jfr*=info" # Health check @@ -81,10 +81,9 @@ COPY src/main/resources/hazelcast-config.xml /opt/payara/hazelcast-config.xml RUN sed -i 's/payara-trader-cluster/payara-trader-g1/' /opt/payara/hazelcast-config.xml && \ sed -i 's/trader-stream-/trader-stream-g1-/' /opt/payara/hazelcast-config.xml -# Run Payara Micro with the WAR -# NOTE: --nohazelcast flag is REMOVED to enable clustering -# Use custom Hazelcast configuration with split-brain protection -CMD java ${JAVA_OPTS} -jar payara-micro.jar \ - --deploy trader-stream-ee.war \ - --contextroot trader-stream-ee \ - --hzconfigfile /opt/payara/hazelcast-config.xml +# Run Payara Micro with the WAR. +# NOTE: --nohazelcast is omitted so clustering stays enabled. +# When JFR_ALWAYS_ON=true is set, the shell substitution below appends a +# circular always-on recording. Otherwise only ad-hoc recordings via the +# /api/jfr REST endpoints will produce .jfr files. +CMD ["sh", "-c", "exec java $JAVA_OPTS ${JFR_ALWAYS_ON:+-XX:StartFlightRecording=name=${JFR_RECORDING_NAME:-g1-cluster},filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal -XX:FlightRecorderOptions=stackdepth=256} -jar payara-micro.jar --deploy /opt/payara/trader-stream-ee.war --contextroot trader-stream-ee --hzconfigfile /opt/payara/hazelcast-config.xml"] diff --git a/Dockerfile.standard b/Dockerfile.standard index f858b9d..3aeedba 100644 --- a/Dockerfile.standard +++ b/Dockerfile.standard @@ -49,7 +49,9 @@ EXPOSE 8080 # docker-compose-g1.yml environment variables. See that file for actual runtime # flags in cluster mode. # -# JFR is enabled by default - entrypoint script handles JFR_ENABLED environment variable +# JFR is OFF by default. Ad-hoc recordings are produced via the /api/jfr REST +# endpoints. To enable an always-on circular recording, set JFR_ALWAYS_ON=true +# in the environment; see docker-entrypoint.sh. ENV JAVA_OPTS="-Xms8g \ -Xmx8g \ -XX:+UseG1GC \ diff --git a/docker-compose-c4.yml b/docker-compose-c4.yml index b8f9b18..04c7e5a 100644 --- a/docker-compose-c4.yml +++ b/docker-compose-c4.yml @@ -71,6 +71,7 @@ services: - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro - ./monitoring/logs/c4-1:/opt/payara/logs - ./monitoring/gc-logs/c4-1:/opt/payara/gc-logs + - ./monitoring/recordings/c4-1:/opt/payara/recordings labels: - "traefik.enable=true" - "cluster=c4" @@ -119,6 +120,7 @@ services: - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro - ./monitoring/logs/c4-2:/opt/payara/logs - ./monitoring/gc-logs/c4-2:/opt/payara/gc-logs + - ./monitoring/recordings/c4-2:/opt/payara/recordings labels: - "traefik.enable=true" - "cluster=c4" @@ -167,6 +169,7 @@ services: - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro - ./monitoring/logs/c4-3:/opt/payara/logs - ./monitoring/gc-logs/c4-3:/opt/payara/gc-logs + - ./monitoring/recordings/c4-3:/opt/payara/recordings labels: - "traefik.enable=true" - "cluster=c4" diff --git a/docker-compose-g1.yml b/docker-compose-g1.yml index 38edfa4..57cb536 100644 --- a/docker-compose-g1.yml +++ b/docker-compose-g1.yml @@ -68,9 +68,6 @@ services: -XX:+OptimizeStringConcat -XX:+UseContainerSupport -XX:MaxRAMPercentage=75.0 - -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal - -XX:FlightRecorderOptions=stackdepth=256 - -Xlog:jfr*=info -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml -Djava.net.preferIPv4Stack=true volumes: @@ -78,6 +75,7 @@ services: - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro - ./monitoring/logs/g1-1:/opt/payara/logs - ./monitoring/gc-logs/g1-1:/opt/payara/gc-logs + - ./monitoring/recordings/g1-1:/opt/payara/recordings labels: - "traefik.enable=true" - "cluster=g1" @@ -124,9 +122,6 @@ services: -XX:+OptimizeStringConcat -XX:+UseContainerSupport -XX:MaxRAMPercentage=75.0 - -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal - -XX:FlightRecorderOptions=stackdepth=256 - -Xlog:jfr*=info -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml -Djava.net.preferIPv4Stack=true volumes: @@ -134,6 +129,7 @@ services: - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro - ./monitoring/logs/g1-2:/opt/payara/logs - ./monitoring/gc-logs/g1-2:/opt/payara/gc-logs + - ./monitoring/recordings/g1-2:/opt/payara/recordings labels: - "traefik.enable=true" - "cluster=g1" @@ -180,9 +176,6 @@ services: -XX:+OptimizeStringConcat -XX:+UseContainerSupport -XX:MaxRAMPercentage=75.0 - -XX:StartFlightRecording=name=g1-cluster,filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal - -XX:FlightRecorderOptions=stackdepth=256 - -Xlog:jfr*=info -javaagent:/opt/payara/jmx_prometheus_javaagent.jar=9010:/opt/payara/jmx-exporter-config.yml -Djava.net.preferIPv4Stack=true volumes: @@ -190,6 +183,7 @@ services: - ./monitoring/jmx-exporter/jmx-exporter-config.yml:/opt/payara/jmx-exporter-config.yml:ro - ./monitoring/logs/g1-3:/opt/payara/logs - ./monitoring/gc-logs/g1-3:/opt/payara/gc-logs + - ./monitoring/recordings/g1-3:/opt/payara/recordings labels: - "traefik.enable=true" - "cluster=g1" diff --git a/docker-entrypoint.sh b/docker-entrypoint.sh index 59cccb4..0a4c4b2 100644 --- a/docker-entrypoint.sh +++ b/docker-entrypoint.sh @@ -1,7 +1,13 @@ #!/bin/bash +# docker-entrypoint.sh +# +# Builds JAVA_OPTS for single-instance Payara Micro deployments. +# Always-on JFR is OFF by default; ad-hoc recordings are produced on demand +# via the /api/jfr REST endpoints. Set JFR_ALWAYS_ON=true to opt in to a +# circular always-on recording. + set -e -# Default JVM options (without JFR) DEFAULT_OPTS="-Xms8g -Xmx8g \ -Xlog:gc*:file=/opt/payara/gc-logs/gc.log:time,uptime,level,tags:filecount=5,filesize=10M \ -XX:+UnlockDiagnosticVMOptions -XX:+UnlockExperimentalVMOptions \ @@ -11,22 +17,20 @@ DEFAULT_OPTS="-Xms8g -Xmx8g \ -Djava.net.preferIPv4Stack=true \ -Xlog:jfr*=info" -# Recording name (can be overridden by ENV) -RECORDING_NAME="${RECORDING_NAME:-production}" +JFR_RECORDING_NAME="${JFR_RECORDING_NAME:-${RECORDING_NAME:-production}}" -# Build JAVA_OPTS based on JFR_ENABLED setting -if [ "${JFR_ENABLED}" = "false" ]; then - # JFR disabled - use default options only - export JAVA_OPTS="${DEFAULT_OPTS}" -else - # JFR enabled - add JFR options +if [ "${JFR_ALWAYS_ON}" = "true" ]; then export JAVA_OPTS="${DEFAULT_OPTS} \ --add-opens java.base/jdk.internal.misc=ALL-UNNAMED \ --add-opens java.base/sun.nio.ch=ALL-UNNAMED \ --add-opens java.base/java.nio=ALL-UNNAMED \ --XX:StartFlightRecording=name=${RECORDING_NAME},filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal \ +-XX:StartFlightRecording=name=${JFR_RECORDING_NAME},filename=/opt/payara/recordings/recording.jfr,dumponexit=true,maxage=1h,maxsize=1g,method-profiling=normal \ -XX:FlightRecorderOptions=stackdepth=256" +else + export JAVA_OPTS="${DEFAULT_OPTS} \ +--add-opens java.base/jdk.internal.misc=ALL-UNNAMED \ +--add-opens java.base/sun.nio.ch=ALL-UNNAMED \ +--add-opens java.base/java.nio=ALL-UNNAMED" fi -# Execute the CMD exec "$@" diff --git a/monitoring/grafana/dashboards/jvm-comparison.json b/monitoring/grafana/dashboards/jvm-comparison.json index 546ef43..7f3890c 100644 --- a/monitoring/grafana/dashboards/jvm-comparison.json +++ b/monitoring/grafana/dashboards/jvm-comparison.json @@ -4,8 +4,7 @@ "tags": [ "jvm", "gc", "performance", "comparison" ], "timezone": "browser", "editable": true, - "panels": [ - { + "panels": [ { "id": 10, "title": "Response Latency - JIT Warmup (P50 / P99)", "type": "timeseries", @@ -16,18 +15,15 @@ "x": 0, "y": 0 }, - "targets": [ - { - "expr": "histogram_quantile(0.50, rate(traefik_service_request_duration_seconds_bucket{job=~\"traefik-c4|traefik-g1\"}[30s]))", - "legendFormat": "P50 - {{job}}", - "refId": "A" - }, - { - "expr": "histogram_quantile(0.99, rate(traefik_service_request_duration_seconds_bucket{job=~\"traefik-c4|traefik-g1\"}[30s]))", - "legendFormat": "P99 - {{job}}", - "refId": "B" - } - ], + "targets": [ { + "expr": "histogram_quantile(0.50, rate(traefik_service_request_duration_seconds_bucket{job=~\"traefik-c4|traefik-g1\"}[30s]))", + "legendFormat": "P50 - {{job}}", + "refId": "A" + }, { + "expr": "histogram_quantile(0.99, rate(traefik_service_request_duration_seconds_bucket{job=~\"traefik-c4|traefik-g1\"}[30s]))", + "legendFormat": "P99 - {{job}}", + "refId": "B" + } ], "fieldConfig": { "defaults": { "unit": "s", @@ -44,42 +40,71 @@ }, "thresholds": { "mode": "absolute", - "steps": [ - { "value": 0, "color": "green" }, - { "value": 0.5, "color": "yellow" }, - { "value": 1, "color": "red" } - ] + "steps": [ { + "value": 0, + "color": "green" + }, { + "value": 0.5, + "color": "yellow" + }, { + "value": 1, + "color": "red" + } ] } }, - "overrides": [ - { - "matcher": { "id": "byRegexp", "options": ".*P99.*" }, - "properties": [ - { "id": "lineWidth", "value": 1 }, - { "id": "dashes", "value": true }, - { "id": "dashLength", "value": 5 } - ] + "overrides": [ { + "matcher": { + "id": "byRegexp", + "options": ".*P99.*" }, - { - "matcher": { "id": "byRegexp", "options": ".*traefik-c4.*" }, - "properties": [ - { "id": "color", "value": { "mode": "fixed", "fixedColor": "green" } } - ] + "properties": [ { + "id": "lineWidth", + "value": 1 + }, { + "id": "dashes", + "value": true + }, { + "id": "dashLength", + "value": 5 + } ] + }, { + "matcher": { + "id": "byRegexp", + "options": ".*traefik-c4.*" }, - { - "matcher": { "id": "byRegexp", "options": ".*traefik-g1.*" }, - "properties": [ - { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } - ] - } - ] + "properties": [ { + "id": "color", + "value": { + "mode": "fixed", + "fixedColor": "green" + } + } ] + }, { + "matcher": { + "id": "byRegexp", + "options": ".*traefik-g1.*" + }, + "properties": [ { + "id": "color", + "value": { + "mode": "fixed", + "fixedColor": "orange" + } + } ] + } ] }, "options": { - "tooltip": { "mode": "multi", "sort": "desc" }, - "legend": { "displayMode": "table", "placement": "bottom", "calcs": [ "mean", "max", "lastNotNull" ] } + "tooltip": { + "mode": "multi", + "sort": "desc" + }, + "legend": { + "displayMode": "table", + "placement": "bottom", + "calcs": [ "mean", "max", "lastNotNull" ] + } } - }, - { + }, { "id": 11, "title": "Request Throughput", "type": "timeseries", @@ -90,13 +115,11 @@ "x": 0, "y": 10 }, - "targets": [ - { - "expr": "sum(rate(traefik_service_requests_total{code=~\"2..\", job=~\"traefik-c4|traefik-g1\"}[30s])) by (job)", - "legendFormat": "{{job}} req/s", - "refId": "A" - } - ], + "targets": [ { + "expr": "sum(rate(traefik_service_requests_total{code=~\"2..\", job=~\"traefik-c4|traefik-g1\"}[30s])) by (job)", + "legendFormat": "{{job}} req/s", + "refId": "A" + } ], "fieldConfig": { "defaults": { "unit": "reqps", @@ -108,23 +131,33 @@ "lineWidth": 2 } }, - "overrides": [ - { - "matcher": { "id": "byRegexp", "options": ".*traefik-c4.*" }, - "properties": [ - { "id": "color", "value": { "mode": "fixed", "fixedColor": "green" } } - ] + "overrides": [ { + "matcher": { + "id": "byRegexp", + "options": ".*traefik-c4.*" }, - { - "matcher": { "id": "byRegexp", "options": ".*traefik-g1.*" }, - "properties": [ - { "id": "color", "value": { "mode": "fixed", "fixedColor": "orange" } } - ] - } - ] + "properties": [ { + "id": "color", + "value": { + "mode": "fixed", + "fixedColor": "green" + } + } ] + }, { + "matcher": { + "id": "byRegexp", + "options": ".*traefik-g1.*" + }, + "properties": [ { + "id": "color", + "value": { + "mode": "fixed", + "fixedColor": "orange" + } + } ] + } ] } - }, - { + }, { "id": 1, "title": "GC Pause Time Comparison (P99)", "type": "timeseries", @@ -301,4 +334,4 @@ "to": "now" } } -} +} \ No newline at end of file diff --git a/src/main/java/fish/payara/trader/rest/JfrRecordingResource.java b/src/main/java/fish/payara/trader/rest/JfrRecordingResource.java index c4a2dad..47f6367 100644 --- a/src/main/java/fish/payara/trader/rest/JfrRecordingResource.java +++ b/src/main/java/fish/payara/trader/rest/JfrRecordingResource.java @@ -9,13 +9,16 @@ import jakarta.ws.rs.DefaultValue; import jakarta.ws.rs.core.MediaType; import jakarta.ws.rs.core.Response; +import jdk.jfr.Configuration; import jdk.jfr.FlightRecorder; import jdk.jfr.Recording; import jdk.jfr.RecordingState; import java.io.IOException; +import java.io.InputStream; import java.nio.file.Files; import java.nio.file.attribute.BasicFileAttributes; +import java.text.ParseException; import java.time.Duration; import java.time.Instant; import java.util.*; @@ -44,6 +47,7 @@ public class JfrRecordingResource { private static final Logger LOGGER = Logger.getLogger(JfrRecordingResource.class.getName()); private static final java.nio.file.Path RECORDINGS_DIR = java.nio.file.Paths.get("/opt/payara/recordings"); + private static final java.nio.file.Path JFC_SETTINGS_DIR = java.nio.file.Paths.get("/opt/payara/jfr-settings"); /** Get JFR availability and recording status */ @GET @@ -76,25 +80,119 @@ public Response getStatus() { return Response.ok(status).build(); } - /** Start a new JFR recording */ + /** + * Start a new JFR recording. + * + * @param name + * human-readable recording name; used as the dumped filename prefix + * @param durationSeconds + * wall-clock duration before auto-stop and dump to disk + * @param maxSizeBytes + * hard cap on recording size; older events are evicted past this + * @param settings + * optional JFC profile: 'default', 'profile', or a workshop name such as 'tradestream-workshop' loaded from /opt/payara/jfr-settings. When + * omitted, an opinionated workshop event set is enabled programmatically. + */ @POST @Path("/recording/start") @Produces(MediaType.APPLICATION_JSON) public Response startRecording(@QueryParam("name") @DefaultValue("ad-hoc") String name, @QueryParam("durationSeconds") @DefaultValue("60") int durationSeconds, - @QueryParam("maxSize") @DefaultValue("1073741824") long maxSizeBytes) { + @QueryParam("maxSize") @DefaultValue("1073741824") long maxSizeBytes, @QueryParam("settings") String settings) { if (!FlightRecorder.isAvailable()) { return Response.status(Response.Status.SERVICE_UNAVAILABLE).entity(Map.of("error", "Flight Recorder is not available")).build(); } - Map options = new HashMap<>(); - options.put("name", name); + Recording recording; + try { + recording = createRecording(name, settings); + } catch (IOException | ParseException e) { + LOGGER.log(Level.WARNING, "Failed to load JFC settings: " + settings, e); + return Response.status(Response.Status.BAD_REQUEST) + .entity(Map.of("error", "Failed to load settings", "settings", settings, "message", e.getMessage())) + .build(); + } - Recording recording = new Recording(options); recording.setMaxSize(maxSizeBytes); - recording.setMaxAge(Duration.ofSeconds(durationSeconds)); + recording.setDuration(Duration.ofSeconds(durationSeconds)); + recording.start(); + + final long recordingId = recording.getId(); + CompletableFuture.runAsync(() -> { + try { + Thread.sleep((durationSeconds + 2) * 1000L); + Recording r = findRecording(recordingId); + if (r == null) { + return; + } + if (r.getState() == RecordingState.RUNNING) { + r.stop(); + } + if (r.getState() == RecordingState.STOPPED) { + dumpRecording(r); + LOGGER.info("Dumped recording: " + r.getName() + " (" + recordingId + ")"); + } + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + LOGGER.warning("Recording stop interrupted for: " + name); + } + }); + + LOGGER.info("Started JFR recording: " + name + " (" + recordingId + ") for " + durationSeconds + "s, settings=" + + (settings == null ? "" : settings)); + + Map response = new HashMap<>(); + response.put("recordingId", recordingId); + response.put("name", name); + response.put("durationSeconds", durationSeconds); + response.put("maxSizeBytes", maxSizeBytes); + response.put("settings", settings == null ? "workshop-default" : settings); + response.put("state", "RUNNING"); + return Response.ok(response).build(); + } + + /** + * Build a recording with either a named JFC profile or the workshop default event set. + * + *

    + * Resolution order for {@code settings}: + *

      + *
    1. {@code null} or {@code "workshop-default"} — programmatic event list (back-compat).
      2. + *
    2. {@code "default"} or {@code "profile"} — JDK-bundled JFC profile via {@link Configuration#getConfiguration(String)}.
      3. + *
    3. Anything else — looked up as {@code /opt/payara/jfr-settings/.jfc}.
      4. + *
    + */ + private Recording createRecording(String name, String settings) throws IOException, ParseException { + if (settings == null || settings.isBlank() || "workshop-default".equalsIgnoreCase(settings)) { + Recording recording = new Recording(); + recording.setName(name); + applyWorkshopDefaultEvents(recording); + return recording; + } + + if ("default".equalsIgnoreCase(settings) || "profile".equalsIgnoreCase(settings)) { + Recording recording = new Recording(Configuration.getConfiguration(settings.toLowerCase(Locale.ROOT))); + recording.setName(name); + return recording; + } + + String safeName = settings.endsWith(".jfc") ? settings : settings + ".jfc"; + java.nio.file.Path jfcPath = JFC_SETTINGS_DIR.resolve(safeName).normalize(); + if (!jfcPath.startsWith(JFC_SETTINGS_DIR.normalize())) { + throw new IOException("Settings path escapes the JFC settings directory: " + settings); + } + if (!Files.exists(jfcPath)) { + throw new IOException("JFC settings file not found: " + jfcPath); + } + try (InputStream in = Files.newInputStream(jfcPath)) { + Recording recording = new Recording(Configuration.create(new java.io.InputStreamReader(in))); + recording.setName(name); + return recording; + } + } + private void applyWorkshopDefaultEvents(Recording recording) { recording.enable("jdk.CPUInformation"); recording.enable("jdk.GCPhaseParallel"); recording.enable("jdk.ObjectAllocationInNewTLAB"); @@ -113,30 +211,6 @@ public Response startRecording(@QueryParam("name") @DefaultValue("ad-hoc") Strin recording.enable("gc.sla.violation"); recording.enable("aeron.backpressure"); recording.enable("burst.mode.activated"); - - recording.start(); - - final long recordingId = recording.getId(); - CompletableFuture.runAsync(() -> { - try { - Thread.sleep(durationSeconds * 1000L); - Recording r = findRecording(recordingId); - if (r != null && r.getState() == RecordingState.RUNNING) { - r.stop(); - dumpRecording(r); - LOGGER.info("Auto-stopped recording: " + r.getName() + " (" + recordingId + ")"); - } - } catch (InterruptedException e) { - Thread.currentThread().interrupt(); - LOGGER.warning("Recording stop interrupted for: " + name); - } - }); - - LOGGER.info("Started JFR recording: " + name + " (" + recordingId + ") for " + durationSeconds + "s"); - - return Response.ok( - Map.of("recordingId", recordingId, "name", name, "durationSeconds", durationSeconds, "maxSizeBytes", maxSizeBytes, "state", "RUNNING")) - .build(); } /** Stop a running recording */ @@ -240,7 +314,17 @@ public Response downloadFile(@PathParam("filename") String filename) { return Response.status(Response.Status.BAD_REQUEST).entity(Map.of("error", "Filename is required")).type(MediaType.APPLICATION_JSON).build(); } - java.nio.file.Path filePath = RECORDINGS_DIR.resolve(filename); + if (!filename.endsWith(".jfr")) { + return Response.status(Response.Status.BAD_REQUEST).entity(Map.of("error", "Only .jfr files are allowed")).type(MediaType.APPLICATION_JSON).build(); + } + + java.nio.file.Path filePath = RECORDINGS_DIR.resolve(filename).normalize(); + if (!filePath.startsWith(RECORDINGS_DIR.normalize())) { + return Response.status(Response.Status.FORBIDDEN) + .entity(Map.of("error", "Filename escapes the recordings directory", "filename", filename)) + .type(MediaType.APPLICATION_JSON) + .build(); + } if (!Files.exists(filePath)) { return Response.status(Response.Status.NOT_FOUND) @@ -249,10 +333,6 @@ public Response downloadFile(@PathParam("filename") String filename) { .build(); } - if (!filename.endsWith(".jfr")) { - return Response.status(Response.Status.BAD_REQUEST).entity(Map.of("error", "Only .jfr files are allowed")).type(MediaType.APPLICATION_JSON).build(); - } - try { byte[] fileContent = Files.readAllBytes(filePath); String contentDisposition = "attachment; filename=\"" + filename + "\""; diff --git a/start-comparison.sh b/start-comparison.sh index 6a18481..cc979e6 100755 --- a/start-comparison.sh +++ b/start-comparison.sh @@ -75,8 +75,10 @@ echo "✅ Docker is installed" echo "✅ Docker Compose is installed" echo "" -# Create base monitoring directory structure for logs +# Create base monitoring directory structure for logs, GC logs, and JFR recordings mkdir -p monitoring/logs/{c4-{1,2,3},g1-{1,2,3}} +mkdir -p monitoring/gc-logs/{c4-{1,2,3},g1-{1,2,3}} +mkdir -p monitoring/recordings/{c4-{1,2,3},g1-{1,2,3}} if [ "$MONITORING" = true ]; then echo "Mode: Full deployment with monitoring stack" @@ -181,8 +183,8 @@ echo "" echo "Ingestion Mode: $INGESTION_MODE" echo "" echo "To apply stress test:" -echo " curl -X POST http://localhost:8080/trader-stream-ee/api/memory/mode/EXTREME" -echo " curl -X POST http://localhost:9080/trader-stream-ee/api/memory/mode/EXTREME" +echo " curl -X POST http://localhost:8080/trader-stream-ee/api/pressure/mode/EXTREME" +echo " curl -X POST http://localhost:9080/trader-stream-ee/api/pressure/mode/EXTREME" echo "" echo "To stop everything:" echo " ./stop-comparison.sh" From e91aea25df5a4c7925dd96abe4e10ff60993ae60 Mon Sep 17 00:00:00 2001 From: Luqman Saeed Date: Mon, 11 May 2026 18:47:31 +0000 Subject: [PATCH 23/33] Add JNation workshop materials --- .gitignore | 12 + docker-compose-c4.yml | 3 + docker-compose-g1.yml | 3 + pom.xml | 7 + workshop/README.md | 61 ++ workshop/WORKSHOP.md | 503 +++++++++++++++ workshop/analysis-checklist.md | 141 +++++ .../module-1-find-longest-pause/README.md | 56 ++ .../expected-output.txt | 27 + .../README.md | 67 ++ .../analysis-template.md | 48 ++ .../BurstPatternEvent.solution.java | 62 ++ .../BurstPatternEvent.starter.java | 74 +++ .../exercises/module-3-burst-event/README.md | 71 +++ .../module-3-burst-event/jmc-dashboard.xml | 69 ++ .../module-4-collector-comparison/README.md | 58 ++ .../comparison-template.md | 82 +++ .../module-5-apply-to-your-app/README.md | 38 ++ .../event-templates/LatencyEvent.java | 62 ++ .../event-templates/ResourceEvent.java | 58 ++ .../event-templates/ThrottleEvent.java | 55 ++ .../production-jfr-flags.md | 77 +++ .../jfr-settings/tradestream-workshop.jfc | 275 ++++++++ workshop/recordings/README.md | 33 + workshop/recordings/c4-baseline.jfr | Bin 0 -> 7624682 bytes workshop/recordings/g1-baseline.jfr | Bin 0 -> 9357084 bytes workshop/scripts/compare-recordings.sh | 70 +++ workshop/scripts/install-exercise.sh | 59 ++ workshop/scripts/record-scenarios.sh | 138 ++++ workshop/scripts/verify-setup.sh | 135 ++++ workshop/slides/slides.md | 589 ++++++++++++++++++ 31 files changed, 2933 insertions(+) create mode 100644 workshop/README.md create mode 100644 workshop/WORKSHOP.md create mode 100644 workshop/analysis-checklist.md create mode 100644 workshop/exercises/module-1-find-longest-pause/README.md create mode 100644 workshop/exercises/module-1-find-longest-pause/expected-output.txt create mode 100644 workshop/exercises/module-2-diagnose-promotion-storm/README.md create mode 100644 workshop/exercises/module-2-diagnose-promotion-storm/analysis-template.md create mode 100644 workshop/exercises/module-3-burst-event/BurstPatternEvent.solution.java create mode 100644 workshop/exercises/module-3-burst-event/BurstPatternEvent.starter.java create mode 100644 workshop/exercises/module-3-burst-event/README.md create mode 100644 workshop/exercises/module-3-burst-event/jmc-dashboard.xml create mode 100644 workshop/exercises/module-4-collector-comparison/README.md create mode 100644 workshop/exercises/module-4-collector-comparison/comparison-template.md create mode 100644 workshop/exercises/module-5-apply-to-your-app/README.md create mode 100644 workshop/exercises/module-5-apply-to-your-app/event-templates/LatencyEvent.java create mode 100644 workshop/exercises/module-5-apply-to-your-app/event-templates/ResourceEvent.java create mode 100644 workshop/exercises/module-5-apply-to-your-app/event-templates/ThrottleEvent.java create mode 100644 workshop/exercises/module-5-apply-to-your-app/production-jfr-flags.md create mode 100644 workshop/jfr-settings/tradestream-workshop.jfc create mode 100644 workshop/recordings/README.md create mode 100644 workshop/recordings/c4-baseline.jfr create mode 100644 workshop/recordings/g1-baseline.jfr create mode 100755 workshop/scripts/compare-recordings.sh create mode 100755 workshop/scripts/install-exercise.sh create mode 100755 workshop/scripts/record-scenarios.sh create mode 100755 workshop/scripts/verify-setup.sh create mode 100644 workshop/slides/slides.md diff --git a/.gitignore b/.gitignore index 8045249..7ae3e7b 100644 --- a/.gitignore +++ b/.gitignore @@ -47,3 +47,15 @@ monitoring/.scraper.pid # Crash dumps from any local JVM (Zing safepoint aborts in particular). hs_err_pid*.log hs_err_pid* + +# Workshop tree: everything is intentional content. Re-include it explicitly +# so the broad *.md / *.jar ignores above don't swallow it. +!workshop/ +!workshop/** +!workshop/**/*.md +!workshop/**/*.jfc +!workshop/**/*.jfr +!workshop/**/*.java +!workshop/**/*.xml +!workshop/**/*.sh +!workshop/**/*.txt diff --git a/docker-compose-c4.yml b/docker-compose-c4.yml index 04c7e5a..c899280 100644 --- a/docker-compose-c4.yml +++ b/docker-compose-c4.yml @@ -72,6 +72,7 @@ services: - ./monitoring/logs/c4-1:/opt/payara/logs - ./monitoring/gc-logs/c4-1:/opt/payara/gc-logs - ./monitoring/recordings/c4-1:/opt/payara/recordings + - ./workshop/jfr-settings:/opt/payara/jfr-settings:ro labels: - "traefik.enable=true" - "cluster=c4" @@ -121,6 +122,7 @@ services: - ./monitoring/logs/c4-2:/opt/payara/logs - ./monitoring/gc-logs/c4-2:/opt/payara/gc-logs - ./monitoring/recordings/c4-2:/opt/payara/recordings + - ./workshop/jfr-settings:/opt/payara/jfr-settings:ro labels: - "traefik.enable=true" - "cluster=c4" @@ -170,6 +172,7 @@ services: - ./monitoring/logs/c4-3:/opt/payara/logs - ./monitoring/gc-logs/c4-3:/opt/payara/gc-logs - ./monitoring/recordings/c4-3:/opt/payara/recordings + - ./workshop/jfr-settings:/opt/payara/jfr-settings:ro labels: - "traefik.enable=true" - "cluster=c4" diff --git a/docker-compose-g1.yml b/docker-compose-g1.yml index 57cb536..80003d1 100644 --- a/docker-compose-g1.yml +++ b/docker-compose-g1.yml @@ -76,6 +76,7 @@ services: - ./monitoring/logs/g1-1:/opt/payara/logs - ./monitoring/gc-logs/g1-1:/opt/payara/gc-logs - ./monitoring/recordings/g1-1:/opt/payara/recordings + - ./workshop/jfr-settings:/opt/payara/jfr-settings:ro labels: - "traefik.enable=true" - "cluster=g1" @@ -130,6 +131,7 @@ services: - ./monitoring/logs/g1-2:/opt/payara/logs - ./monitoring/gc-logs/g1-2:/opt/payara/gc-logs - ./monitoring/recordings/g1-2:/opt/payara/recordings + - ./workshop/jfr-settings:/opt/payara/jfr-settings:ro labels: - "traefik.enable=true" - "cluster=g1" @@ -184,6 +186,7 @@ services: - ./monitoring/logs/g1-3:/opt/payara/logs - ./monitoring/gc-logs/g1-3:/opt/payara/gc-logs - ./monitoring/recordings/g1-3:/opt/payara/recordings + - ./workshop/jfr-settings:/opt/payara/jfr-settings:ro labels: - "traefik.enable=true" - "cluster=g1" diff --git a/pom.xml b/pom.xml index 8369e62..4cb8ba9 100644 --- a/pom.xml +++ b/pom.xml @@ -359,6 +359,13 @@ **/*.md + + workshop/slides/** + workshop/WORKSHOP.md + workshop/analysis-checklist.md + workshop/exercises/**/*.md + workshop/recordings/**/*.md + diff --git a/workshop/README.md b/workshop/README.md new file mode 100644 index 0000000..9e995fe --- /dev/null +++ b/workshop/README.md @@ -0,0 +1,61 @@ +# TradeStreamEE Workshop: Java Flight Recorder for Low-Latency Systems + +Hands-on workshop materials for JNation. + +## Quick map + +| You want to | Read this | +|-------------------------------------------|------------------------------------------------------| +| Run the workshop end-to-end | [WORKSHOP.md](./WORKSHOP.md) | +| Verify your laptop is ready | `./scripts/verify-setup.sh` | +| Print a desk reference | [analysis-checklist.md](./analysis-checklist.md) | +| Read the speaker slides | [slides/slides.md](./slides/slides.md) | +| Reproduce the pre-recorded files | `./scripts/record-scenarios.sh` | +| Compare two recordings on the CLI | `./scripts/compare-recordings.sh` | +| Add a Module 3 starter to the source tree | `./scripts/install-exercise.sh module-3-burst-event` | + +## JFR mode + +By default the cluster does **not** run an always-on JFR recording. Every `.jfr` file is produced on demand via the REST API (`POST /api/jfr/recording/start`), which is what the workshop scripts and `WORKSHOP.md` use throughout. + +To opt in to a long-running circular always-on recording in addition (for example to capture the steady-state behaviour before any scenario fires), set `JFR_ALWAYS_ON=true` in the relevant Docker Compose service environment. The container honours the flag at startup and adds an always-on recording dumping to `/opt/payara/recordings/recording.jfr` (bind-mounted to `monitoring/recordings/{cluster}-N/` on the host). + +## Pre-workshop checklist + +1. **Docker** with at least 8 GB RAM allocated to the engine, and 10 GB free disk. +2. **JDK 21+** on your PATH (used by the `jfr` CLI for the comparison script). +3. **JDK Mission Control** installed (`jmc` command available). Free options: + - Azul Mission Control: + - OpenJDK Mission Control: +4. Ports `8080-8084`, `9080-9084`, `9090`, `3000`, `3100` free. +5. Run `./scripts/verify-setup.sh` and resolve any `[FAIL]` items. +6. Run `./start-comparison.sh all` once before the workshop to pre-cache Docker images. + +## Folder layout + +``` +workshop/ +├── WORKSHOP.md # The main guide, 3.5 hours of content +├── README.md # This file +├── analysis-checklist.md # Printable 2-page JFR triage reference +├── jfr-settings/ +│ └── tradestream-workshop.jfc +├── recordings/ # Pre-recorded .jfr files (10 total) +├── scripts/ # Verify, record, compare, install helpers +├── exercises/ +│ ├── module-1-find-longest-pause/ +│ ├── module-2-diagnose-promotion-storm/ +│ ├── module-3-burst-event/ +│ ├── module-4-collector-comparison/ +│ └── module-5-apply-to-your-app/ +└── slides/ + └── slides.md # Marp markdown deck +``` + +## Rendering the slides + +The deck uses [Marp](https://marp.app/). Render in your editor: + +- VS Code: install the "Marp for VS Code" extension and open `slides/slides.md`. +- CLI: `npx @marp-team/marp-cli@latest slides/slides.md --pdf -o slides.pdf` + diff --git a/workshop/WORKSHOP.md b/workshop/WORKSHOP.md new file mode 100644 index 0000000..041b2a1 --- /dev/null +++ b/workshop/WORKSHOP.md @@ -0,0 +1,503 @@ +# Java Flight Recorder for Low-Latency Systems + +## A hands-on workshop for JNation + +Total time: 3 hours 30 minutes, broken into five modules. Each module ends with a hands-on exercise and a discussion checkpoint. You will leave with the application source, a generation script for the recordings, a printable analysis checklist, and reusable JFR event templates. + +### What you will learn + +By the end of this workshop you will be able to: + +1. Identify the dominant cause of a GC pause from a JFR recording in under five minutes. +2. Distinguish young, mixed, and full collections by their JFR signatures. +3. Recognise the four common pathologies: promotion storms, fragmentation, remembered-set overhead, and evacuation failure. +4. Add custom `@Name`-annotated JFR events to correlate application behaviour with runtime events. +5. Compare two collectors objectively under identical workloads. + +### Audience + +Senior Java developers comfortable with Jakarta EE, virtual threads, and idiomatic Java 21. No prior JFR or HFT experience required. Bring a laptop with Docker, Git, and JDK Mission Control installed; see [README.md](./README.md) for setup details. + +--- + +## Architecture you will be running + +```mermaid +flowchart LR + P[MarketDataPublisher
    virtual thread] + SBE[SBE flyweight
    off-heap encode] + A[Aeron IPC
    shared memory] + F[MarketDataFragmentHandler
    zero-copy decode] + M[MatchingEngine] + B[BarAggregator + ta4j] + W[MarketDataBroadcaster] + HZ[Hazelcast ITopic] + WS[WebSocket clients] + + P --> SBE --> A --> F + F --> M + F --> B + F --> W + W --> HZ --> WS +``` + +The application runs as two parallel clusters under Traefik: + +```mermaid +flowchart TB + subgraph C4 cluster :8080 + C1[trader-stream-c4-1
    Azul Prime / C4 GC] + C2[trader-stream-c4-2] + C3[trader-stream-c4-3] + end + subgraph G1 cluster :9080 + G1[trader-stream-g1-1
    Temurin 21 / G1 GC] + G2[trader-stream-g1-2] + G3[trader-stream-g1-3] + end + Prom[Prometheus :9090] + Graf[Grafana :3000] + + C1 & C2 & C3 --> Prom + G1 & G2 & G3 --> Prom + Prom --> Graf +``` + +Heap is identical on both sides (`-Xms4g -Xmx4g`, `AlwaysPreTouch`, transparent huge pages). The only deliberate difference is the garbage collector. That isolates GC behaviour as the dependent variable. + +--- + +## Pre-workshop setup + +Run this on your laptop before the session. Allow 20 minutes the first time. + +```bash +git clone +cd trader-stream-ee +./workshop/scripts/verify-setup.sh +./start-comparison.sh all # builds images, starts both clusters + monitoring +``` + +You should end up with: + +| URL | Purpose | +|-------------------------------------------|--------------------------| +| `http://localhost:8080/trader-stream-ee/` | C4 cluster (Azul Prime) | +| `http://localhost:9080/trader-stream-ee/` | G1 cluster (Temurin) | +| `http://localhost:3000` | Grafana (admin/admin) | +| `http://localhost:9090` | Prometheus | +| `http://localhost:8084` | Traefik dashboard for C4 | +| `http://localhost:9084` | Traefik dashboard for G1 | + +> **Ports 8080 / 9080 versus 8081 / 9081.** Health checks and UI traffic go through Traefik on the cluster ports (8080, 9080), which load-balances across all three instances. JFR commands and `/api/pressure/mode/*` calls in this workshop target the instance-1 direct ports (8081, 9081) so that recordings stay on a single JVM and end up in the bind-mounted `monitoring/recordings/{c4,g1}-1` directory. + +JDK Mission Control installation: + +- Azul Mission Control (free): +- OpenJDK JMC build: +- Azul Platform Prime bundles JMC; if you install Prime on your laptop separately, you have JMC. + +--- + +## Module 1: Setup and warm-up (30 min) + +**Goal:** Get every attendee from clone to "I can open a real JFR recording in JMC" within 30 minutes. + +### 1.1 Verify the clusters (5 min) + +```bash +curl -s http://localhost:8080/trader-stream-ee/api/health/check | jq +curl -s http://localhost:9080/trader-stream-ee/api/health/check | jq +``` + +Both must return `"status": "healthy"`. If one is unhealthy, give it another 30 seconds; Payara Micro's deploy completes asynchronously. + +### 1.2 Generate a baseline recording (10 min) + +The application exposes a JFR REST API. We will start a 60-second recording while the publisher runs in steady mode. + +```bash +# C4 baseline +curl -X POST 'http://localhost:8081/trader-stream-ee/api/jfr/recording/start?name=baseline&durationSeconds=60&settings=tradestream-workshop' + +# G1 baseline +curl -X POST 'http://localhost:9081/trader-stream-ee/api/jfr/recording/start?name=baseline&durationSeconds=60&settings=tradestream-workshop' +``` + +The recording auto-stops after 60 seconds and dumps to disk. Find it: + +```bash +ls -lh monitoring/recordings/c4-1/ +ls -lh monitoring/recordings/g1-1/ +``` + +### 1.3 Open in JMC (10 min) + +```bash +jmc -open monitoring/recordings/c4-1/baseline-*.jfr +``` + +In JMC, open these pages: + +1. **Outline → General → Garbage Collections** — the headline pause times. +2. **Outline → Memory → Allocation** — per-thread allocation rates. +3. **Outline → Threads** — find the publisher virtual thread. + +### 1.4 Exercise: find the longest GC pause + +Find the longest GC pause in your baseline recording. Note: + +- Its duration in milliseconds. +- The collector that produced it (`G1 Young Generation`, `GPGC New`, etc.). +- The cause field (`G1 Evacuation Pause`, `Allocation Failure`, etc.). + +Hint: in JMC, `Garbage Collections → Longest Pause` is one click. The duration column sorts in place. See [exercises/module-1-find-longest-pause/](./exercises/module-1-find-longest-pause/README.md) for hints and the expected output. + +### Module 1 discussion checkpoint + +Compare findings across the room. The C4 baseline should show pauses under 1 ms; the G1 baseline should show occasional young-gen pauses around 5-15 ms even under steady allocation. The interesting question is *why the difference exists at idle*, not just under stress. + +--- + +## Module 2: Reading JFR recordings (60 min) + +**Goal:** Build the mental model that lets you triage a JFR recording in five minutes. + +### 2.1 GC events: what to read first (15 min) + +JFR records dozens of GC event types. For pause analysis, three matter most: + +| Event | What it tells you | +|-------------------------------------------------|-------------------------------------------------------------------------------------------------| +| `jdk.GarbageCollection` | Wall-clock pause time, cause, sum of phases. The headline. | +| `jdk.GCPhasePause` | Per-phase pause breakdown (mark, evacuate, ref-processing, etc.). Where the time actually went. | +| `jdk.GCPhaseParallel` / `jdk.GCPhaseConcurrent` | Subphase work, useful for distinguishing root scanning from object copy. | + +For G1 specifically: `jdk.G1HeapSummary`, `jdk.G1HeapRegionInformation`, `jdk.EvacuationInformation`, `jdk.EvacuationFailed`, `jdk.PromotionFailed`. + +### 2.2 Pause time distributions (10 min) + +Average pause time lies. Distributions tell the truth. + +```mermaid +flowchart LR + P50[P50 = "typical user feels"] --> P99 + P99[P99 = "what one in 100 requests hits"] --> P999 + P999[P99.9 = "the ones that cause incidents"] --> Max[Max = "the worst single pause"] +``` + +In JMC: `Outline → General → Garbage Collections → Pause Time` shows the histogram. Sort by duration descending. The first row is your Max. P99 lives roughly at the 99th-percentile mark of the cumulative distribution. + +A 5-second recording at 60K msg/sec produces approximately 100 young collections under steady allocation. P99 over that sample size is barely meaningful. Workshop recordings are 60 seconds long for that reason, and even then your statistical confidence is limited; in production, recordings should be hours long for stable percentiles. + +### 2.3 Young versus mixed versus full (10 min) + +Look at the `Name` column in `Garbage Collections`: + +| Name pattern | What G1 was doing | +|--------------------------------|------------------------------------------------------------| +| `G1 Young Generation` (Normal) | Young-only collection. Cheap. | +| `G1 Young Generation` (Mixed) | Young plus some old regions. The expensive case. | +| `G1 Full GC` | Whole-heap, stop-the-world. The "you have a problem" case. | +| `G1 Concurrent Cycle` | Mark phases running with the application; not a pause. | + +C4 will show: + +| Name pattern | What C4 was doing | +|--------------|----------------------------------------| +| `GPGC New` | New-gen concurrent collection. | +| `GPGC Old` | Old-gen concurrent collection. | +| Pause = 0 ms | Nearly always. C4 is fully concurrent. | + +### 2.4 The four pathologies (15 min) + +```mermaid +flowchart TB + P[Long GC pause] --> Q1{Pause time scales with old gen?} + Q1 -->|yes| PS[Promotion storm:
    too many objects surviving] + Q1 -->|no| Q2{Many small regions?} + Q2 -->|yes| FR[Fragmentation:
    compaction overhead] + Q2 -->|no| Q3{High RememberedSet update time?} + Q3 -->|yes| RS[Cross-generational refs:
    write barrier pressure] + Q3 -->|no| Q4{EvacuationFailed events?} + Q4 -->|yes| EF[Evacuation failure:
    to-space exhausted] +``` + +For each pathology there is one or two telltale events in JFR. See [analysis-checklist.md](./analysis-checklist.md) for the full triage tree. + +### 2.5 Exercise: diagnose PROMOTION_STORM (15 min) + +> **Pre-recorded files must exist before this module.** Run `./workshop/scripts/record-scenarios.sh` once during setup (about 16 minutes), or have the facilitator pre-generate them. The directory `workshop/recordings/` ships with only a README; the `.jfr` files are produced from your hardware. + +Use the pre-recorded files: + +```bash +jmc -open workshop/recordings/g1-promotion-storm.jfr +jmc -open workshop/recordings/c4-promotion-storm.jfr +``` + +Or generate fresh: + +```bash +curl -X POST 'http://localhost:9081/trader-stream-ee/api/jfr/recording/start?name=promo-live&durationSeconds=75&settings=tradestream-workshop' +sleep 10 +curl -X POST 'http://localhost:9081/trader-stream-ee/api/pressure/mode/PROMOTION_STORM' +sleep 60 +curl -X POST 'http://localhost:9081/trader-stream-ee/api/pressure/mode/OFF' +``` + +In the G1 recording you should see: + +- Young-gen collections becoming more frequent. +- The pause time gradually rising as old gen fills. +- `PromoteObjectOutsidePLAB` events climbing. +- Eventually a mixed collection with a noticeable pause. + +In the C4 recording the same workload should produce no visible pause increase. Use this as the comparison anchor for Module 4. Full hints and expected outputs are in [exercises/module-2-diagnose-promotion-storm/](./exercises/module-2-diagnose-promotion-storm/README.md). + +### Module 2 discussion checkpoint + +Two questions to debate around the room: + +1. If your production app has a P99 pause of 80 ms and a Max of 800 ms, which one do you optimise first, and why? +2. What recording duration would you need for the P99 to be statistically meaningful given 10 collections per minute? + +--- + +## Module 3: Custom JFR events (45 min) + +**Goal:** Add a domain-specific event that correlates application behaviour with GC events. + +### 3.1 The shape of a custom event (10 min) + +A custom event is a `public class extends jdk.jfr.Event` annotated with `@Name`, `@Label`, `@Category`, and optionally `@StackTrace(false)` for hot paths. + +Two examples already in the codebase: + +```java +// src/main/java/fish/payara/trader/jfr/MarketDataEvents.java +@Name("trade.published") +@Label("Trade Published") +@StackTrace(false) +public static class TradePublished extends Event { + public String symbol; + public long price; + public int quantity; + public String side; +} +``` + +```java +// emit it from MarketDataPublisher.java +TradePublished tradeEvent = new TradePublished(); +if (tradeEvent.isEnabled()) { + tradeEvent.symbol = symbol; + tradeEvent.price = price; + tradeEvent.quantity = qty; + tradeEvent.side = side.name(); + tradeEvent.commit(); +} +``` + +Critical detail: `event.isEnabled()` is the cost gate. When the event is disabled (recording stopped or this event type filtered out), `isEnabled()` returns `false` and the entire body is skipped. The JIT can sometimes eliminate the bare `new TradePublished()` allocation when the type is disabled, but it cannot eliminate any computation you do to compute the field values (string concatenation, lookups, formatting). The `isEnabled()` gate is what guarantees that field-population work runs only when JFR is recording the type. + +`@StackTrace(false)` disables stack trace capture per emission. Stack traces are the most expensive part of a JFR event; for events that fire millions of times per second, leave them off. + +### 3.2 Where to emit from (5 min) + +Three principles for choosing emission points: + +1. **One event per logical operation, not per method call.** Don't decorate every function; pick the boundary where the operation succeeded or failed. +2. **Numeric fields are cheap; String fields are not.** Strings get interned in the JFR string pool, but the interning lookup is hot-path overhead. Use enums-as-ints where possible. +3. **Begin/commit pairs measure duration.** Use `event.begin()` and `event.commit()` to capture the elapsed time of an operation automatically; JFR records the start, end, and thread. + +### 3.3 Correlating with GC events (10 min) + +In JMC, the `Event Browser` lets you overlay timelines. To see whether GC pauses cause SBE encoding stalls: + +1. Open `Event Browser → Custom → Market Data → SBE Encode Operation`. +2. Open `Event Browser → Java Virtual Machine → GC → Pause`. +3. Drag both onto the same time axis. + +A correlated stall looks like this: + +``` +GC pause: [---50ms---] +SBE encode: ............ . . . . + ^ ^ + stalls catches up +``` + +If your SBE encode count drops to zero during the pause window, the publisher virtual thread is paused. If it does not drop, you have a virtual-thread carrier pinning problem - the publisher is running on a different carrier than the GC pause affected. + +### 3.4 Exercise: track burst patterns (20 min) + +Add a `BurstPatternEvent` that fires when the publisher detects a 5x rate spike. Starter code is at [`exercises/module-3-burst-event/BurstPatternEvent.starter.java`](./exercises/module-3-burst-event/BurstPatternEvent.starter.java). + +The exercise walks through: + +1. Define the event class with `@Name("burst.pattern.detected")`. +2. Add fields: `multiplier` (int), `windowMillis` (long), `peakRate` (double). +3. Wire it into `MarketDataPublisher.detectBurstMode()`. +4. Install with `./workshop/scripts/install-exercise.sh module-3-burst-event`. +5. Rebuild, re-record, and verify the event appears in `Event Browser → Custom`. +6. Build a custom JMC dashboard that overlays your event with `gc.sla.violation` and `aeron.backpressure`. + +The completed dashboard XML is at [`exercises/module-3-burst-event/jmc-dashboard.xml`](./exercises/module-3-burst-event/jmc-dashboard.xml); import it via JMC's `File → Open → Custom Dashboard`. + +### Module 3 discussion checkpoint + +What would you instrument in your own application? What is the single hottest code path you currently have no visibility into? + +--- + +## Module 4: Collector comparison (45 min) + +**Goal:** Run identical workloads on C4 and G1, then read the resulting recordings as evidence. + +### 4.1 The setup is already running (5 min) + +Both clusters are healthy. You have already run baseline + PROMOTION_STORM on both. The remaining scenarios are: + +| Scenario | What it stresses | +|------------------|-----------------------------------------------------------------| +| `GROWING_HEAP` | Mixed collection scaling as live set grows from 100 MB to 2 GB. | +| `FRAGMENTATION` | Compaction overhead under small-object churn. | +| `CROSS_GEN_REFS` | Write-barrier and remembered-set maintenance. | + +For each scenario, the application's `MemoryPressureService` produces the exact allocation pattern; you don't need to write any code. + +### 4.2 Generate (or use pre-recorded) (10 min) + +Pre-recorded files are in `workshop/recordings/`. To save time, work from those. To produce fresh recordings: + +```bash +./workshop/scripts/record-scenarios.sh +``` + +This takes about 16 minutes and produces all 10 .jfr files (~20-30 MB each). + +### 4.3 Side-by-side analysis (20 min) + +Open paired recordings in JMC: + +```bash +jmc -open workshop/recordings/c4-fragmentation.jfr -open workshop/recordings/g1-fragmentation.jfr +``` + +For each pair, fill in this comparison table (template at [exercises/module-4-collector-comparison/comparison-template.md](./exercises/module-4-collector-comparison/comparison-template.md)): + +| Metric | C4 | G1 | Why they differ | +|-------------------------------|----|----|-----------------| +| Max pause (ms) | | | | +| P99 pause (ms) | | | | +| GC throughput (% of app time) | | | | +| Old gen size at end | | | | +| EvacuationFailed events | | | | +| trade.published total | | | | + +For CLI-only comparison: + +```bash +./workshop/scripts/compare-recordings.sh \ + workshop/recordings/c4-fragmentation.jfr \ + workshop/recordings/g1-fragmentation.jfr +``` + +### 4.4 Exercise: document the differences (10 min) + +For each of the four stress scenarios, write a one-sentence summary of the behavioural difference. The expected answers (from real recordings) are in [exercises/module-4-collector-comparison/README.md](./exercises/module-4-collector-comparison/README.md). + +### Module 4 discussion checkpoint + +C4 is not always the right answer. Two questions worth debating: + +1. For an application with a 99.9% pause budget of 200 ms, is the operational cost of running Azul Prime justified? What does the answer depend on? +2. If you change G1 to ZGC (also concurrent, ships with OpenJDK 21), how much of C4's behaviour do you reproduce? Where does ZGC still differ? + +--- + +## Module 5: Applying to your applications (30 min) + +**Goal:** Take the patterns from this workshop home to a real production application. + +### 5.1 Pattern matching (10 min) + +The four pathologies are not specific to trading systems. The closest analogues in common workloads: + +| Pathology | Where it shows up outside HFT | +|--------------------|------------------------------------------------------------------------------| +| Promotion storm | Caches with TTL > young-gen GC interval; pooled connection objects | +| Fragmentation | Long-lived applications with many distinct object sizes (logging frameworks) | +| Cross-gen refs | Mutable singletons that hold references to recent request objects | +| Evacuation failure | Heap sized too tight for the survivor space; allocation bursts | + +If you can recognise the JFR signature, you can diagnose any of these in any Java application. + +### 5.2 Allocation versus collector choice (10 min) + +The hardest call in performance work is: do I reduce allocation, or do I change collector? + +```mermaid +flowchart LR + A[Long GC pauses observed] --> Q1{Allocation rate > 500 MB/sec?} + Q1 -->|yes| O1[Reduce allocation first
    flyweight, off-heap, primitive arrays] + Q1 -->|no| Q2{Heap > 8 GB?} + Q2 -->|yes| O2[Consider concurrent collector
    ZGC, C4, Shenandoah] + Q2 -->|no| Q3{Pause sensitive but P99 acceptable?} + Q3 -->|yes| O3[Tune G1: MaxGCPauseMillis,
    InitiatingHeapOccupancyPercent] + Q3 -->|no| O2 +``` + +Reducing allocation is almost always cheaper in production than changing JVM. The exception is when you have already optimised the hot paths (zero-copy, flyweight, primitive arrays) and the residual GC cost is still material. + +### 5.3 Production-safe JFR (5 min) + +Three rules for always-on JFR in production: + +1. **Use the default profile, not workshop.** `-XX:StartFlightRecording=settings=default` is the 1%-overhead setting. The workshop profile is 1-2%; production-grade is what the JDK ships. +2. **Cap the size.** `maxsize=1g,maxage=24h` keeps recordings circular without unbounded disk growth. +3. **Disable stack traces on hot events.** `@StackTrace(false)` on every custom event you emit more than 1000 times per second. + +Reference flags: see [exercises/module-5-apply-to-your-app/production-jfr-flags.md](./exercises/module-5-apply-to-your-app/production-jfr-flags.md). + +### 5.4 Event templates (5 min) + +Three reusable event templates for your own applications, in [exercises/module-5-apply-to-your-app/event-templates/](./exercises/module-5-apply-to-your-app/event-templates/): + +| Template | When to use it | +|-----------------|-------------------------------------------------------------------------------------------------| +| `LatencyEvent` | Wrap any function whose tail latency matters; uses `begin()`/`commit()` for automatic duration. | +| `ThrottleEvent` | Emit when a circuit breaker opens, a rate limit is hit, or backpressure activates. | +| `ResourceEvent` | Emit when a finite resource (connection pool, file handle, cache slot) is reserved or released. | + +Copy these into your own project, rename them, and start instrumenting. + +### Q&A and open debugging + +Bring your own production JFR recording if you have one. We'll spend the last few minutes walking through real attendee recordings. + +--- + +## Takeaways + +You leave with: + +1. The TradeStreamEE repository, runnable on your laptop with Docker Compose. +2. Ten pre-recorded `.jfr` files covering five scenarios across two collectors. +3. The JFR analysis checklist ([analysis-checklist.md](./analysis-checklist.md)) - a printable two-page reference. +4. Three reusable event templates for your own applications. +5. A mental model: pathology → JFR signature → fix. + +The repository will keep producing fresh recordings as you change scenarios or add events. Treat it as a sandbox, not a frozen artefact. + +--- + +## Further reading + +- JEP 328: Flight Recorder, the original proposal that ships JFR into OpenJDK. +- *Java Performance: The Definitive Guide* (Scott Oaks), chapter 5 on GC tuning. +- Azul C4 technical paper: +- G1 ergonomics tuning: +- JMC user guide: + diff --git a/workshop/analysis-checklist.md b/workshop/analysis-checklist.md new file mode 100644 index 0000000..216f10b --- /dev/null +++ b/workshop/analysis-checklist.md @@ -0,0 +1,141 @@ +# JFR Analysis Checklist + +Two pages. Print double-sided. Keep at your desk. + +## Capture + +- [ ] Recording length: at least 10 minutes for stable percentiles; longer for rare events. +- [ ] Settings profile: `default.jfc` in production (~1%), `profile.jfc` for dev (~2%), workshop `.jfc` only when reproducing a specific scenario. +- [ ] `maxsize` and `maxage` set; recording is circular, not unbounded. +- [ ] Application is in steady state when capture begins (JIT warmed, caches populated). Skip the first 60 seconds. +- [ ] If you control the workload, freeze it during capture. If you don't, note the request rate at start and end. +- [ ] Filename includes timestamp, host, and recording purpose. + +## Triage: read in this order + +1. **Recording duration and event coverage.** `Outline → General → Recording Information`. Confirm the timeline matches what you expected. +2. **GC pause headline.** `Outline → General → Garbage Collections`, sort Duration descending. Read the top 5 rows. +3. **Heap shape.** `Outline → Memory → Heap Usage After GC`. Is old gen growing? Plateau? Sawtooth? +4. **Allocation hot stacks.** `Outline → Memory → Allocations → Hot Methods`. Top 3 methods by bytes allocated. +5. **Custom application events.** `Event Browser → Custom`. Are domain events firing at expected rates? + +If you only have time for one view, choose #2. + +## Pause time distributions + +| Quantile | What it tells you | +|----------|--------------------------------------------------------------------| +| P50 | "Typical pause." Mostly informational. | +| P95 | "Routine bad pause." Should be near the SLA threshold. | +| P99 | "What 1 in 100 GCs cost." Most operational alerts live here. | +| P99.9 | "What 1 in 1000 GCs cost." Where incidents come from. | +| Max | "Worst single pause." Investigate even one if it exceeds your SLA. | + +Sample size matters. P99 from 10 collections is not statistically meaningful. Aim for hundreds of pause events in the window. + +## Pathology triage tree + +``` +Pause time > SLA? +├─ Yes → check Name column: +│ ├─ "G1 Young Generation (Normal)" +│ │ └─ check Allocation rate. > 500 MB/s? → reduce allocation. +│ │ Otherwise → check survivor sizing. +│ ├─ "G1 Young Generation (Mixed)" +│ │ └─ check old gen growth. Filling fast? → PROMOTION STORM. +│ │ check region count being mixed. High? → FRAGMENTATION. +│ ├─ "G1 Full GC" +│ │ └─ EvacuationFailed events present? → to-space exhausted. +│ │ PromotionFailed present? → old gen full. +│ │ Neither? → System.gc() called, or metaspace. +│ └─ Pause's biggest phase (jdk.GCPhasePauseLevel1): +│ ├─ "Update RS" → cross-gen ref pressure +│ ├─ "Scan RS" → cross-gen ref pressure +│ ├─ "Evacuate CS" → promotion / object copy cost +│ ├─ "Code Roots" → many classes being recompiled +│ └─ "Ref Proc" → too many soft/weak/phantom refs +└─ No → recording shows healthy GC. If app feels slow, look elsewhere + (lock contention, virtual-thread pinning, I/O). +``` + +## Promotion storm signature + +- `jdk.PromoteObjectOutsidePLAB` count climbs across recording. +- Old gen usage curve rises monotonically. +- Mixed collections appear and lengthen over time. +- Allocation rate is high (> 200 MB/s) AND survival rate is high (> 30%). + +**Fixes, in order of preference:** +1. Reduce allocation in the survival-heavy code path (object pooling, primitive arrays). +2. Increase young gen so more objects die young (`-XX:NewRatio`, region count). +3. Switch to a concurrent collector (ZGC, C4, Shenandoah). + +## Fragmentation signature + +- Many small objects (`jdk.ObjectAllocationSample`, size < 1 KB). +- `jdk.G1HeapRegionTypeChange` events frequent. +- Pause time correlates with region count being evacuated, not heap size. +- `jdk.GCPhasePauseLevel2 → Object Copy` is the dominant phase. + +**Fixes:** +1. Switch to a compacting concurrent collector (C4 compacts continuously, ZGC fragments less). +2. Consolidate small objects into arrays or off-heap buffers. +3. Increase `G1HeapRegionSize` so fewer regions hold equivalent data. + +## Cross-generational reference signature + +- `jdk.GCPhasePauseLevel1` events with name "Update RS" or "Scan RS" dominating pause time. +- `ExecutionSample` stacks pointing into `G1BarrierSet::write_ref_field_post`. +- Old-gen objects holding references to young-gen objects (mutable singletons, caches). + +**Fixes:** +1. Make old-gen holders immutable or copy-on-write. +2. Switch to a collector without remembered sets (C4) or with cheaper barriers (ZGC's load barrier). +3. Reduce write rate to old-gen mutable fields. + +## Evacuation failure signature + +- `jdk.EvacuationFailed` events present. +- May be followed by a full GC if the heap remains constrained; JDK 21's Tenuring Anywhere change reduces this likelihood by letting subsequent young collections reclaim old-gen regions. +- All available heap regions are committed and none remain free for promotion or survivor copy when the failure fires. + +**Fixes:** +1. Increase `MaxHeapSize`. +2. Reduce allocation rate. +3. Lower `InitiatingHeapOccupancyPercent` so concurrent marking starts earlier. + +## Virtual thread red flags + +- `jdk.VirtualThreadPinned` events with duration over 100 ms. +- Pinned stacks usually point to `synchronized` blocks or JNI calls. + +**Fixes:** +1. Replace `synchronized` with `ReentrantLock` where the carrier thread would otherwise be pinned. +2. Move JNI-heavy work off virtual threads (use platform threads for native code paths). + +## CLI quick reference + +```bash +# Summary +jfr summary recording.jfr + +# All GC events +jfr print --events jdk.GarbageCollection recording.jfr + +# Custom events +jfr print --events 'trade.*,gc.sla.violation' recording.jfr + +# Compare two recordings (workshop helper) +./workshop/scripts/compare-recordings.sh c4.jfr g1.jfr + +# Open in JMC +jmc -open recording.jfr +``` + +## Don't + +- Don't conclude from a 60-second recording that you have a GC problem in production. Take a 10-minute recording first. +- Don't enable `jdk.ObjectAllocationInNewTLAB` with stack traces in production. It is a development-only tool. +- Don't change collector before reducing allocation. The cheapest fix is almost always upstream. +- Don't tune `MaxGCPauseMillis` to a value below your P99 measurement. G1 will respond by collecting more often, not faster. + diff --git a/workshop/exercises/module-1-find-longest-pause/README.md b/workshop/exercises/module-1-find-longest-pause/README.md new file mode 100644 index 0000000..5a4fec1 --- /dev/null +++ b/workshop/exercises/module-1-find-longest-pause/README.md @@ -0,0 +1,56 @@ +# Module 1 exercise: find the longest GC pause + +## Problem + +Open the baseline recording. Find the longest pause in the recording. Note its duration, the collector that produced it, and the cause. + +## Inputs + +Either of: + +- A fresh recording you produced with `curl -X POST 'http://localhost:8081/trader-stream-ee/api/jfr/recording/start?name=baseline&durationSeconds=60&settings=tradestream-workshop'` (output appears in `monitoring/recordings/c4-1/`). +- The pre-recorded `workshop/recordings/c4-baseline.jfr`. + +## Steps + +1. Open the recording in JMC: `jmc -open `. +2. Navigate to `Outline → General → Garbage Collections`. +3. Sort the Duration column descending. +4. Click the first row. + +## What to record + +Fill in: + +``` +Recording file: ____________________ +Longest pause (ms): ____________________ +Collector name: ____________________ +GC cause: ____________________ +Approximate heap used: ____________________ MB at the time of the pause +``` + +## Stretch goal + +Repeat the exercise with `g1-baseline.jfr`. Compare the longest pause and the count of pauses over 5 ms. Which collector is doing more work, and which one is doing the work in a way the application can feel? + +## Hints (read only if stuck) + +
    +Hint 1 +The Duration column is in milliseconds. JMC displays it formatted (e.g., "5.20 ms"); the underlying value is nanoseconds. +
    + +
    +Hint 2 +For C4, the longest pause is usually 0 ms or near it. The "longest" might still be a sub-millisecond entry. That itself is the data point: there is nothing to optimise. +
    + +
    +Hint 3 +For G1, look at the "Name" column. Distinguish "G1 Young Generation" from "G1 Concurrent Cycle" (the latter is not a stop-the-world pause). +
    + +## Discussion prompt + +If you found a sub-1ms longest pause, is the recording too short to be meaningful? How long would it need to be to capture a representative tail? diff --git a/workshop/exercises/module-1-find-longest-pause/expected-output.txt b/workshop/exercises/module-1-find-longest-pause/expected-output.txt new file mode 100644 index 0000000..5230619 --- /dev/null +++ b/workshop/exercises/module-1-find-longest-pause/expected-output.txt @@ -0,0 +1,27 @@ +# Expected output for a 60-second baseline recording at roughly 60K msg/sec + +## C4 baseline (typical) + +Longest pause: 0.2 - 1.0 ms (often shown as "0 ms" by JMC due to rounding) +Collector name: GPGC New +GC cause: Concurrent New collection +Pauses over 5 ms: 0 +Total pause time: < 10 ms across the recording + +## G1 baseline (typical) + +Longest pause: 5 - 15 ms (depends on host load) +Collector name: G1 Young Generation +GC cause: G1 Evacuation Pause +Pauses over 5 ms: 2 - 6 +Total pause time: 30 - 80 ms across the recording + +## Interpretation + +Even at steady state and with a comfortable heap, G1 incurs single-digit +millisecond young-gen pauses periodically. C4 does not, because all phases +including young-gen collection are concurrent with the application. + +For a 60K msg/sec workload, a 10 ms pause means roughly 600 messages buffered. +Whether that is acceptable depends on your SLA - this is the kind of question +Module 5 returns to. diff --git a/workshop/exercises/module-2-diagnose-promotion-storm/README.md b/workshop/exercises/module-2-diagnose-promotion-storm/README.md new file mode 100644 index 0000000..2455b2b --- /dev/null +++ b/workshop/exercises/module-2-diagnose-promotion-storm/README.md @@ -0,0 +1,67 @@ +# Module 2 exercise: diagnose PROMOTION_STORM + +## Problem + +The `PROMOTION_STORM` scenario allocates at 300 MB/sec with roughly 50% survival to old generation. Use JFR to explain *why* this produces increasing pause times on G1, and *why* C4 does not respond the same way. + +## Inputs + +- `workshop/recordings/g1-promotion-storm.jfr` +- `workshop/recordings/c4-promotion-storm.jfr` + +Or generate fresh against your running clusters: + +```bash +# G1 +curl -X POST 'http://localhost:9081/trader-stream-ee/api/jfr/recording/start?name=promo-live&durationSeconds=75&settings=tradestream-workshop' +sleep 10 +curl -X POST 'http://localhost:9081/trader-stream-ee/api/pressure/mode/PROMOTION_STORM' +sleep 60 +curl -X POST 'http://localhost:9081/trader-stream-ee/api/pressure/mode/OFF' +``` + +## Steps + +Open the G1 recording in JMC and check these views in order: + +1. **`Outline → General → Garbage Collections`** sorted by Start Time. Watch the pause duration column over the recording duration. Does it climb? +2. **`Outline → Memory → Heap Usage After GC`** — line chart of old-gen occupancy over time. Where does old gen start saturating? +3. **`Event Browser → jdk.PromoteObjectOutsidePLAB`** — events fire when an object is promoted to old gen but the PLAB (promotion buffer) didn't have room. High frequency means the application is over-allocating into PLABs, which is the promotion-storm signature. +4. **`Outline → General → Garbage Collections → row detail`** for a mixed collection late in the recording. Look at the `Name` column for the `Mixed` qualifier and the per-phase breakdown. + +Repeat for the C4 recording. The same heap behaviour should be present (objects are being promoted), but pause time should not move. + +## Fill this in + +``` +G1 PROMOTION_STORM observations: + Pause time at second 10: _____ ms + Pause time at second 50: _____ ms + Old gen at second 10: _____ MB + Old gen at second 50: _____ MB + PromoteObjectOutsidePLAB count: _____ + First mixed collection at: second _____ + +C4 PROMOTION_STORM observations: + Max pause across recording: _____ ms + Old gen at second 10: _____ MB + Old gen at second 50: _____ MB +``` + +## Why the difference? + +G1's old-gen collection is stop-the-world (the mixed phases). Once old gen fills, G1 must run mixed collections, and their cost scales with the live data they have to evacuate. The promotion storm builds the old gen up faster than concurrent marking can keep up, so mixed collections trigger and produce pauses. + +C4's old-gen collection (GPGC Old) runs concurrently with the application. Promotion into old gen does not cause a stop-the-world phase. Heap fills the same way; the application doesn't pause. + +## Discussion prompt + +If you doubled the heap size on the G1 side, would the problem go away? If yes, why; if not, why not? + +## Hint (read only if stuck) + +
    +Hint +Doubling the heap delays the problem but does not remove it. G1's pause time on a mixed collection scales with the number of regions being collected; a bigger heap means more regions to evacuate per mixed pause. The problem returns at the new larger heap size, just later in the recording. +
    + diff --git a/workshop/exercises/module-2-diagnose-promotion-storm/analysis-template.md b/workshop/exercises/module-2-diagnose-promotion-storm/analysis-template.md new file mode 100644 index 0000000..a649002 --- /dev/null +++ b/workshop/exercises/module-2-diagnose-promotion-storm/analysis-template.md @@ -0,0 +1,48 @@ +# PROMOTION_STORM analysis template + +Fill this in as you work through the recording. Bring it to the Module 2 discussion. + +## Recording metadata + +- File: ___________ +- Cluster: ___________ +- Duration: ___________ +- Settings profile: ___________ + +## Timeline observations + +| Second | Pause time (ms) | Old gen (MB) | Notes | +|--------|-----------------|--------------|-------| +| 5 | | | | +| 15 | | | | +| 30 | | | | +| 45 | | | | +| 60 | | | | + +## Event counts across the recording window + +| Event | Count | +|----------------------------------------------------|-------| +| `jdk.GarbageCollection` | | +| `jdk.GCPhasePauseLevel1 (Evacuate Collection Set)` | | +| `jdk.PromoteObjectOutsidePLAB` | | +| `jdk.G1HeapRegionTypeChange (Old → Free)` | | +| `gc.sla.violation` (custom) | | +| `trade.published` (custom) | | + +## Hypothesis + +In one sentence, what is the dominant cause of pause growth in this recording? + +___________________________________________________________________ + +___________________________________________________________________ + +## Cross-check + +Open the equivalent recording on the other collector. Did the same events fire? At the same rate? Why or why not? + +___________________________________________________________________ + +___________________________________________________________________ + diff --git a/workshop/exercises/module-3-burst-event/BurstPatternEvent.solution.java b/workshop/exercises/module-3-burst-event/BurstPatternEvent.solution.java new file mode 100644 index 0000000..c3a07dd --- /dev/null +++ b/workshop/exercises/module-3-burst-event/BurstPatternEvent.solution.java @@ -0,0 +1,62 @@ +package fish.payara.trader.jfr; + +import jdk.jfr.Category; +import jdk.jfr.Description; +import jdk.jfr.Event; +import jdk.jfr.Label; +import jdk.jfr.Name; +import jdk.jfr.StackTrace; + +/** + * Reference solution for the Module 3 exercise. + * + *

    + * Fires when the publisher's per-second rate exceeds its rolling 30-second baseline by a configurable multiplier (default 5x). One event per detection, not per + * message - the event is for transitions, not for traffic. + * + *

    + * Design notes: + *

      + *
    • {@code @StackTrace(false)} - the event fires when burst mode is detected (once per spike), not per-message. We do want to know where in code it + * fired, but recording the stack on every detection still adds overhead and the call site is fixed at one place in the publisher. If your detection lives in + * multiple call sites, enable stack traces.
      • + *
    • All numeric fields are primitives. JFR stores primitives inline in the event payload.
      • + *
    • {@code @Category({"Market Data", "Workshop"})} - puts the event under Market Data → Workshop in the JMC Event Browser tree.
      • + *
    + */ +@Name("burst.pattern.detected") +@Label("Burst Pattern Detected") +@Category({"Market Data", "Workshop"}) +@Description("Fires when the publisher's rolling rate exceeds the baseline by the configured multiplier.") +@StackTrace(false) +public class BurstPatternEvent extends Event { + + @Label("Multiplier") + @Description("Ratio of current rate to baseline rate, rounded to nearest integer.") + public int multiplier; + + @Label("Window (ms)") + @Description("Length of the rolling window used to compute the baseline.") + public long windowMillis; + + @Label("Peak rate (msg/s)") + public double peakRate; + + @Label("Baseline rate (msg/s)") + public double baselineRate; + + /** + * Convenience emitter that wraps the {@code isEnabled} gate. Call this from the publisher when a detection fires; it allocates only when JFR is recording + * the event type. + */ + public static void emit(int multiplier, long windowMillis, double peakRate, double baselineRate) { + BurstPatternEvent event = new BurstPatternEvent(); + if (event.isEnabled()) { + event.multiplier = multiplier; + event.windowMillis = windowMillis; + event.peakRate = peakRate; + event.baselineRate = baselineRate; + event.commit(); + } + } +} diff --git a/workshop/exercises/module-3-burst-event/BurstPatternEvent.starter.java b/workshop/exercises/module-3-burst-event/BurstPatternEvent.starter.java new file mode 100644 index 0000000..08f04b8 --- /dev/null +++ b/workshop/exercises/module-3-burst-event/BurstPatternEvent.starter.java @@ -0,0 +1,74 @@ +package fish.payara.trader.jfr; + +import jdk.jfr.Category; +import jdk.jfr.Description; +import jdk.jfr.Event; +import jdk.jfr.Label; +import jdk.jfr.Name; +import jdk.jfr.StackTrace; + +/** + * STARTER FILE. + *

    + * Complete the TODOs to instrument the publisher with a custom JFR event that fires when the per-second publish rate exceeds the rolling baseline by 5x or + * more. + * + *

    + * After you finish, install this into the source tree: + * + * 

    + *   ./workshop/scripts/install-exercise.sh module-3-burst-event
+ *
    + */ +@Category({"Market Data", "Workshop"}) +@Label("Burst Pattern Detected") +@Description("Fires when the publisher detects a sustained 5x spike over its rolling baseline.") +public class BurstPatternEvent { + + // TODO 1: Make this an event class. + // Replace the static inner class below with a public top-level class that + // extends jdk.jfr.Event. Apply @Name, @Label, @StackTrace correctly. + // + // Hints: + // - @Name should be the event's stable identifier, e.g. "burst.pattern.detected" + // - @Label is a human-readable label shown in JMC + // - This event fires once per detection, NOT once per message; do you want + // stack traces enabled or disabled? Argue for one. Then apply @StackTrace. + + @Name("burst.pattern.detected") + @Label("Burst Pattern Detected") + @StackTrace(false) + public static class Detail extends Event { + + // TODO 2: Add the fields. Suggested set: + // - multiplier (int) - the ratio of current rate to baseline (e.g. 5 for 5x) + // - windowMillis (long) - the rolling window length used for the baseline + // - peakRate (double) - messages per second at the peak of the window + // - baselineRate (double) - the baseline rate the multiplier was computed against + // + // Use primitive types where possible. Strings cost more. + + public int multiplier; + + // TODO 3 (optional): If you want this event to record duration, use + // event.begin() / event.commit() instead of just commit(). Otherwise + // the event timestamps a point in time, not a span. + } + + // TODO 4: Wire this into the publisher. + // + // In src/main/java/fish/payara/trader/aeron/MarketDataPublisher.java, find + // the existing burst-mode-activated emission (look for `BurstModeActivated`). + // Near it, add a separate detection step that computes the rolling rate and, + // when the multiplier crosses your threshold, emits BurstPatternEvent.Detail. + // + // Pattern: + // BurstPatternEvent.Detail event = new BurstPatternEvent.Detail(); + // if (event.isEnabled()) { + // event.multiplier = computedMultiplier; + // event.commit(); + // } + // + // The isEnabled() check is critical on hot paths. Without it, every + // detection sample allocates an event object even when JFR is off. +} diff --git a/workshop/exercises/module-3-burst-event/README.md b/workshop/exercises/module-3-burst-event/README.md new file mode 100644 index 0000000..612a5fc --- /dev/null +++ b/workshop/exercises/module-3-burst-event/README.md @@ -0,0 +1,71 @@ +# Module 3 exercise: track burst patterns with a custom JFR event + +## Problem + +The publisher emits a `burst.mode.activated` event when the system *deliberately* enters burst mode (the `MARKET_OPEN_SPIKE` preset, for example). What it does *not* do is detect spontaneous rate spikes - moments where the publisher exceeds its rolling average for reasons we did not plan for. + +Add a custom `BurstPatternEvent` that fires whenever the per-second publish rate exceeds the 30-second moving average by 5x or more. Then build a JMC dashboard that overlays your event with `gc.sla.violation` and `aeron.backpressure`. + +## What you will produce + +1. `src/main/java/fish/payara/trader/jfr/BurstPatternEvent.java` - the event class. +2. A two-line patch in `MarketDataPublisher.detectBurstMode()` (or a new helper) that emits the event. +3. A custom JMC dashboard imported from `jmc-dashboard.xml`. + +## Starter code + +`BurstPatternEvent.starter.java` in this directory is your template. It has the imports, the class skeleton, and TODOs for the parts you need to fill in. + +Once you are happy with your version, run: + +```bash +./workshop/scripts/install-exercise.sh module-3-burst-event +``` + +This copies your file to `src/main/java/fish/payara/trader/jfr/BurstPatternEvent.java` (it refuses to overwrite an existing file there, so you can iterate safely). + +## Build and redeploy + +The container builds with Maven inside the Docker image, so a quick rebuild loop: + +```bash +docker compose -f docker-compose-c4.yml build trader-stream-c4-1 +docker compose -f docker-compose-c4.yml up -d --no-deps trader-stream-c4-1 +``` + +This rolls only one instance, so the cluster stays up. + +## Verify the event fires + +```bash +# Start a fresh recording +curl -X POST 'http://localhost:8081/trader-stream-ee/api/jfr/recording/start?name=burst-test&durationSeconds=120&settings=tradestream-workshop' + +# Trigger MARKET_OPEN_SPIKE (a multi-step preset that includes a 5x burst phase) +curl -X POST 'http://localhost:8081/trader-stream-ee/api/demo/presets/MARKET_OPEN_SPIKE/execute' + +# Wait for the recording to finish, then open it +ls -lh monitoring/recordings/c4-1/ +jmc -open monitoring/recordings/c4-1/burst-test-*.jfr +``` + +In JMC: `Event Browser → All → burst.pattern.detected`. If your event is there with non-zero count during the spike phase, you have it. + +## Build the dashboard + +Import `jmc-dashboard.xml`: + +1. In JMC, with the recording open, choose `Window → Show View → Other → Mission Control → Custom Dashboard`. +2. Right-click the dashboard area → `Import...` and select `jmc-dashboard.xml`. +3. The dashboard shows three overlaid timelines: your `burst.pattern.detected`, `gc.sla.violation`, and `aeron.backpressure`. + +## Solution + +`BurstPatternEvent.solution.java` has a working reference implementation. Try the starter first; consult the solution only when stuck. The two are not byte-identical; there is more than one reasonable design choice. + +## Discussion prompts + +1. Should `BurstPatternEvent` have `@StackTrace(true)`? Why or why not? +2. What is the minimum sampling rate at which detecting a 5x spike becomes statistically meaningful? +3. If you wanted this event to fire only when GC pauses are also rising, how would you correlate the two in code, and what would you avoid? + diff --git a/workshop/exercises/module-3-burst-event/jmc-dashboard.xml b/workshop/exercises/module-3-burst-event/jmc-dashboard.xml new file mode 100644 index 0000000..65c757a --- /dev/null +++ b/workshop/exercises/module-3-burst-event/jmc-dashboard.xml @@ -0,0 +1,69 @@ + + + + Overlay custom burst detections with GC SLA violations and Aeron backpressure to visualise causation in the recording window. + + + Burst detections per second + burst.pattern.detected + count + 1s + One unit on the y-axis = one burst pattern detected in that second. + + + + Burst multiplier histogram + burst.pattern.detected + multiplier + 10 + How extreme were the spikes? A flat tail means many low-multiplier detections; a sharp tail means rare extreme bursts. + + + + GC SLA violations per second + gc.sla.violation + count + 1s + + + + Aeron backpressure events per second + aeron.backpressure + count + 1s + + + + GC pause duration (ms) + jdk.GarbageCollection + duration + max + 1s + + + + + + + + + + + + + + diff --git a/workshop/exercises/module-4-collector-comparison/README.md b/workshop/exercises/module-4-collector-comparison/README.md new file mode 100644 index 0000000..bb059a4 --- /dev/null +++ b/workshop/exercises/module-4-collector-comparison/README.md @@ -0,0 +1,58 @@ +# Module 4 exercise: document the behavioural differences + +## Problem + +For each of the four stress scenarios beyond baseline, write a one-sentence summary of how C4 and G1 differ under identical workloads. Back each claim with an event count or timing value pulled from the recordings. + +## Inputs + +The pre-recorded files: + +``` +workshop/recordings/c4-growing-heap.jfr workshop/recordings/g1-growing-heap.jfr +workshop/recordings/c4-promotion-storm.jfr workshop/recordings/g1-promotion-storm.jfr +workshop/recordings/c4-fragmentation.jfr workshop/recordings/g1-fragmentation.jfr +workshop/recordings/c4-cross-gen-refs.jfr workshop/recordings/g1-cross-gen-refs.jfr +``` + +## Steps + +For each scenario: + +1. Run the CLI comparison: + + ```bash + ./workshop/scripts/compare-recordings.sh \ + workshop/recordings/c4-.jfr \ + workshop/recordings/g1-.jfr + ``` +2. Open both files in JMC side-by-side. +3. Fill in the [comparison-template.md](./comparison-template.md) for the scenario. +4. Write your one-sentence summary in the table below. + +## Your summaries + +| Scenario | One-sentence summary | +|-------------------|----------------------| +| `GROWING_HEAP` | | +| `PROMOTION_STORM` | | +| `FRAGMENTATION` | | +| `CROSS_GEN_REFS` | | + +## Reference summaries (read after you have your own) + +
    +Reference summaries from a 4 GB heap recording on a 32-core Linux host + +| Scenario | What the recordings show | +|-------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| `GROWING_HEAP` | G1's pause times rise from ~5 ms to ~50 ms as the live set grows from 100 MB to 2 GB, driven by lengthening mixed-collection cycles. C4 stays under 1 ms throughout. | +| `PROMOTION_STORM` | G1 fires several mixed collections in the second half of the recording, each pausing 30-80 ms; `PromoteObjectOutsidePLAB` counts climb. C4's GPGC Old runs concurrently and produces no visible pause. | +| `FRAGMENTATION` | G1 shows region-type churn (`jdk.G1HeapRegionTypeChange` events spike) and occasional 20-30 ms pauses for region compaction. C4 compacts continuously and shows no pause increase. | +| `CROSS_GEN_REFS` | G1's `Update RS` phase dominates pause time (often 60-80% of each pause); the write barrier cost is visible in `ExecutionSample` stacks pointing to `G1BarrierSet`. C4 has no remembered set and shows no equivalent phase. | + +
    + +## Discussion prompt + +Pick the scenario where the C4-vs-G1 gap is *smallest*. Is there a tuning change to G1 that would close most of that gap? What is the cost of that tuning? diff --git a/workshop/exercises/module-4-collector-comparison/comparison-template.md b/workshop/exercises/module-4-collector-comparison/comparison-template.md new file mode 100644 index 0000000..7ffbbde --- /dev/null +++ b/workshop/exercises/module-4-collector-comparison/comparison-template.md @@ -0,0 +1,82 @@ +# Side-by-side comparison template + +Use one copy of this template per stress scenario. + +## Scenario: ___________________ + +## Recording files + +- C4: `workshop/recordings/c4-________.jfr` +- G1: `workshop/recordings/g1-________.jfr` + +## Headline metrics + +| Metric | C4 | G1 | Why they differ | +|----------------------------|----|----|-----------------| +| Max pause (ms) | | | | +| P99 pause (ms) | | | | +| P50 pause (ms) | | | | +| Pause count | | | | +| GC throughput (% app time) | | | | +| Live heap at end (MB) | | | | + +## Event counts + +| Event | C4 count | G1 count | +|--------------------------------|----------|----------| +| `jdk.GarbageCollection` | | | +| `jdk.GCPhasePauseLevel1` | | | +| `jdk.G1HeapRegionTypeChange` | n/a | | +| `jdk.EvacuationFailed` | n/a | | +| `jdk.PromotionFailed` | n/a | | +| `jdk.PromoteObjectOutsidePLAB` | | | +| `gc.sla.violation` | | | +| `aeron.backpressure` | | | +| `trade.published` | | | + +## Hot stacks + +In JMC: `Outline → Threads → Hot Methods`. + +C4 top three: + +1. + +___________________________________________________________________ + +2. + +___________________________________________________________________ + +3. + +___________________________________________________________________ + +G1 top three: + +1. + +___________________________________________________________________ + +2. + +___________________________________________________________________ + +3. + +___________________________________________________________________ + +## One-sentence interpretation + +___________________________________________________________________ + +___________________________________________________________________ + +## Caveats and noise + +What is in this recording that is NOT a clean signal? (Background processes, JIT warmup not yet complete, etc.) + +___________________________________________________________________ + +___________________________________________________________________ + diff --git a/workshop/exercises/module-5-apply-to-your-app/README.md b/workshop/exercises/module-5-apply-to-your-app/README.md new file mode 100644 index 0000000..04dda18 --- /dev/null +++ b/workshop/exercises/module-5-apply-to-your-app/README.md @@ -0,0 +1,38 @@ +# Module 5: applying JFR to your own applications + +This module is a take-home, not an in-room exercise. Here you decide what to instrument in your own application and how. + +## Pattern recognition + +You have seen four pathologies in the workshop: + +| Pathology | Telltale JFR signature | +|-------------------------|----------------------------------------------------------------------------------------------| +| Promotion storm | Rising `jdk.PromoteObjectOutsidePLAB` count; old gen grows; mixed-collection pauses lengthen | +| Fragmentation | `jdk.G1HeapRegionTypeChange` spikes; small object sizes in `jdk.ObjectAllocationSample` | +| Cross-generational refs | `jdk.GCPhasePauseLevel1 → Update RS` dominates pause time | +| Evacuation failure | `jdk.EvacuationFailed` events; under heap pressure a full GC may follow (JDK 21 reduces this likelihood) | + +When you take a production JFR recording home, the [analysis checklist](../../analysis-checklist.md) walks the same triage. + +## Event templates + +Three reusable event classes in [`event-templates/`](./event-templates/) that map to most application instrumentation needs: + +- `LatencyEvent` - wrap any function whose tail latency matters. Uses `begin()/commit()` for automatic duration. +- `ThrottleEvent` - emit when a circuit breaker opens, a rate limit is hit, or backpressure activates. +- `ResourceEvent` - emit when a finite resource (connection pool slot, file handle, cache eviction) is reserved or released. + +Copy them into your project, rename them, change the `@Name` annotations to your domain identifiers, and start instrumenting. + +## Production-safe JFR + +Three rules. The full reference is [`production-jfr-flags.md`](./production-jfr-flags.md). + +1. **Use the default settings profile.** `-XX:StartFlightRecording=settings=default` keeps overhead at ~1%. The workshop profile is fine for development; do not run it in production. +2. **Cap recording size and age.** `maxsize=1g,maxage=24h` is a sensible default for a circular recording. +3. **Disable stack traces on hot-path custom events.** `@StackTrace(false)` is the single most important annotation for high-volume events. + +## Q&A + +Bring your own recording. The last few minutes of the workshop are for walking through real attendee recordings together. diff --git a/workshop/exercises/module-5-apply-to-your-app/event-templates/LatencyEvent.java b/workshop/exercises/module-5-apply-to-your-app/event-templates/LatencyEvent.java new file mode 100644 index 0000000..e64a195 --- /dev/null +++ b/workshop/exercises/module-5-apply-to-your-app/event-templates/LatencyEvent.java @@ -0,0 +1,62 @@ +package fish.payara.trader.jfr.templates; + +import jdk.jfr.Category; +import jdk.jfr.Description; +import jdk.jfr.Event; +import jdk.jfr.Label; +import jdk.jfr.Name; +import jdk.jfr.StackTrace; + +/** + * Generic latency-tracking JFR event. + * + *

    Use this template for any operation whose tail latency matters. The {@code begin()/commit()} pattern auto-captures the operation's duration; you only + * pass the contextual fields. + * + *

    Renaming for your domain: + *

      + *
    1. Change the class name and {@code @Name} value (e.g. {@code "auth.token.validation"}).
      2. + *
    2. Replace the {@code operation} and {@code target} fields with domain-specific identifiers.
      3. + *
    3. Decide whether you want stack traces. For per-request events, no. For events that fire only on failure, yes.
      4. + *
    + * + *

    Usage: + * 

    {@code
+ * LatencyEvent event = new LatencyEvent();
+ * if (event.isEnabled()) {
+ *     event.begin();
+ *     try {
+ *         doTheWork();
+ *         event.success = true;
+ *     } finally {
+ *         event.operation = "validate-token";
+ *         event.target = userId;
+ *         event.commit();
+ *     }
+ * } else {
+ *     doTheWork();
+ * }
+ * }
    + */ +@Name("app.latency") +@Label("Application Latency") +@Category({"Application", "Latency"}) +@Description("Generic latency-tracking event template. Auto-captures duration via begin/commit.") +@StackTrace(false) +public class LatencyEvent extends Event { + + @Label("Operation") + @Description("Logical operation name, stable across releases. Used as the primary group-by in JMC.") + public String operation; + + @Label("Target") + @Description("Domain identifier for what was operated on (user id, order id, file path).") + public String target; + + @Label("Success") + public boolean success; + + @Label("Error class") + @Description("Set only when success is false; the simple name of the exception type, not its message.") + public String errorClass; +} diff --git a/workshop/exercises/module-5-apply-to-your-app/event-templates/ResourceEvent.java b/workshop/exercises/module-5-apply-to-your-app/event-templates/ResourceEvent.java new file mode 100644 index 0000000..87cdcba --- /dev/null +++ b/workshop/exercises/module-5-apply-to-your-app/event-templates/ResourceEvent.java @@ -0,0 +1,58 @@ +package fish.payara.trader.jfr.templates; + +import jdk.jfr.Category; +import jdk.jfr.Description; +import jdk.jfr.Event; +import jdk.jfr.Label; +import jdk.jfr.Name; +import jdk.jfr.StackTrace; + +/** + * JFR event for finite-resource reservation and release. + * + *

    Use this template for any resource pool where exhaustion has operational consequence: database connection pools, HTTP client pools, file handles, thread + * pool slots, cache slots subject to eviction. + * + *

    The point is NOT to emit one event per reservation. That is too noisy. Emit when the resource state crosses a threshold (pool 90% full, eviction + * triggered) or when reservation is refused. + * + *

    Usage: + * 

    {@code
+ * if (pool.utilisation() > 0.9) {
+ *     ResourceEvent event = new ResourceEvent();
+ *     if (event.isEnabled()) {
+ *         event.resourceType = "db-connection-pool";
+ *         event.resourceName = "primary-read";
+ *         event.state = "NEAR_EXHAUSTION";
+ *         event.inUse = pool.inUse();
+ *         event.capacity = pool.capacity();
+ *         event.commit();
+ *     }
+ * }
+ * }
    + */ +@Name("app.resource") +@Label("Application Resource") +@Category({"Application", "Resources"}) +@Description("Fires on finite-resource state transitions (pool near exhaustion, eviction triggered, reservation refused).") +@StackTrace(false) +public class ResourceEvent extends Event { + + @Label("Resource type") + @Description("Generic resource category: 'db-connection-pool', 'http-client-pool', 'cache', 'thread-pool', 'file-handle'.") + public String resourceType; + + @Label("Resource name") + @Description("Specific instance: which pool, which cache.") + public String resourceName; + + @Label("State") + @Description("'NEAR_EXHAUSTION', 'EXHAUSTED', 'EVICTED', 'REFUSED'.") + public String state; + + @Label("In use") + public int inUse; + + @Label("Capacity") + public int capacity; +} diff --git a/workshop/exercises/module-5-apply-to-your-app/event-templates/ThrottleEvent.java b/workshop/exercises/module-5-apply-to-your-app/event-templates/ThrottleEvent.java new file mode 100644 index 0000000..66a13cf --- /dev/null +++ b/workshop/exercises/module-5-apply-to-your-app/event-templates/ThrottleEvent.java @@ -0,0 +1,55 @@ +package fish.payara.trader.jfr.templates; + +import jdk.jfr.Category; +import jdk.jfr.Description; +import jdk.jfr.Event; +import jdk.jfr.Label; +import jdk.jfr.Name; +import jdk.jfr.StackTrace; + +/** + * JFR event for throttle / rate-limit / circuit-breaker activations. + * + *

    Emit one event each time a protective mechanism kicks in, NOT each time a request is throttled. The semantics is "the gate opened" or "the gate closed"; + * the rate of throttled requests is a downstream metric. + * + *

    Stack traces are enabled on this template by default because throttle activations are rare enough that the call stack matters: you almost always want to + * know which code path triggered the protection. + * + *

    Usage: + * 

    {@code
+ * if (circuitBreaker.tripped()) {
+ *     ThrottleEvent event = new ThrottleEvent();
+ *     if (event.isEnabled()) {
+ *         event.mechanism = "circuit-breaker";
+ *         event.scope = "outbound-pricing-api";
+ *         event.state = "OPENED";
+ *         event.failureCount = circuitBreaker.recentFailures();
+ *         event.commit();
+ *     }
+ * }
+ * }
    + */ +@Name("app.throttle") +@Label("Application Throttle") +@Category({"Application", "Resilience"}) +@Description("Fires when a circuit breaker, rate limit, or backpressure mechanism changes state.") +@StackTrace(true) +public class ThrottleEvent extends Event { + + @Label("Mechanism") + @Description("Which protective mechanism fired: 'circuit-breaker', 'rate-limit', 'bulkhead', 'backpressure'.") + public String mechanism; + + @Label("Scope") + @Description("What the mechanism is protecting: an outbound dependency, an inbound endpoint, a queue.") + public String scope; + + @Label("State") + @Description("State transition: 'OPENED', 'CLOSED', 'HALF_OPEN'.") + public String state; + + @Label("Failure count") + @Description("Recent failure count within the mechanism's evaluation window.") + public int failureCount; +} diff --git a/workshop/exercises/module-5-apply-to-your-app/production-jfr-flags.md b/workshop/exercises/module-5-apply-to-your-app/production-jfr-flags.md new file mode 100644 index 0000000..d647876 --- /dev/null +++ b/workshop/exercises/module-5-apply-to-your-app/production-jfr-flags.md @@ -0,0 +1,77 @@ +# Production-safe JFR flags + +Reference settings for always-on JFR in production. + +## Recommended flags + +```bash +java \ + -XX:StartFlightRecording=name=production,settings=default,maxsize=1g,maxage=24h,dumponexit=true,filename=/var/log/myapp/jfr/production.jfr \ + -XX:FlightRecorderOptions=stackdepth=64 \ + -Xlog:jfr*=warning \ + -jar myapp.jar +``` + +### What each option does + +| Option | Why | +|----------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------| +| `settings=default` | The JDK-shipped profile at ~1% overhead. Workshop's `tradestream-workshop.jfc` is roughly 1-2%; do not use it for always-on production recording. | +| `maxsize=1g` | Hard cap on disk usage. JFR keeps a circular buffer at this size. | +| `maxage=24h` | Anything older than 24 hours is dropped. Sized to a typical incident-response window. | +| `dumponexit=true` | Writes a final dump if the JVM shuts down cleanly. Lost on `kill -9`; not lost on graceful shutdown. | +| `filename=/var/log/myapp/jfr/production.jfr` | Predictable filename. Rotate via your existing log rotation if you want history beyond `maxage`. | +| `stackdepth=64` | Default is 64 frames. For most enterprise stacks this is enough; deep reactive pipelines may need 128. | +| `-Xlog:jfr*=warning` | Suppresses verbose JFR logging on stdout. | + +## When to dump on demand + +For incident response, dump the current recording without stopping JFR: + +```bash +jcmd JFR.dump filename=/tmp/incident-$(date +%s).jfr +``` + +This grabs the current circular buffer (up to `maxsize`) without disrupting the running recording. Useful for capturing the state during a live incident. + +## Custom event hygiene + +For every custom event you ship to production: + +1. **`@StackTrace(false)`** on hot events. Stack capture is the dominant cost. +2. **Primitive fields over Strings.** Strings are interned in the JFR pool; the lookup costs per emission. +3. **`event.isEnabled()` gate around field assignment.** Skip the work entirely when the recording is off or this type is filtered. + +```java +TradePublished event = new TradePublished(); +if (event.isEnabled()) { // cheap check + event.symbol = symbol; // skipped when JFR is off + event.price = price; + event.quantity = qty; + event.side = side.name(); + event.commit(); +} +``` + +## What not to do + +- Do not enable `jdk.ObjectAllocationInNewTLAB` with stack traces in production. Under any non-trivial allocation rate, recording size explodes. +- Do not enable `jdk.ExecutionSample` at a sampling period below 10 ms in production. The default 20 ms is enough for most diagnosis. +- Do not ship custom events with deeply-nested object graphs as fields. Flatten to primitives or short strings. + +## Reading the dump after the incident + +```bash +# Quick summary +jfr summary /tmp/incident-1234.jfr + +# Print all GC events +jfr print --events jdk.GarbageCollection /tmp/incident-1234.jfr + +# Custom events only +jfr print --events 'trade.*,gc.sla.violation,aeron.*' /tmp/incident-1234.jfr + +# Open in JMC for visual analysis +jmc -open /tmp/incident-1234.jfr +``` + diff --git a/workshop/jfr-settings/tradestream-workshop.jfc b/workshop/jfr-settings/tradestream-workshop.jfc new file mode 100644 index 0000000..15b8698 --- /dev/null +++ b/workshop/jfr-settings/tradestream-workshop.jfc @@ -0,0 +1,275 @@ + + + + + + + true + 0 ms + + + + true + 0 ms + + + + true + 0 ms + + + + true + 0 ms + + + + true + 0 ms + + + + true + 0 ms + + + + true + 0 ms + + + + true + 0 ms + + + + true + 0 ms + + + + true + + + + true + + + + true + + + + true + + + + true + + + + true + everyChunk + + + + true + + + + true + + + + true + + + + true + + + + true + + + + + + true + 300/s + true + + + + false + false + + + + true + true + + + + true + 1000 ms + + + + + + true + 10 ms + + + + true + 20 ms + + + + true + endChunk + + + + true + 1000 ms + + + + true + 1000 ms + + + + + + true + false + + + + true + false + + + + true + 10 ms + true + + + + true + true + + + + + + true + 0 ms + + + + true + 0 ms + + + + true + 0 ms + + + + + + true + 0 ns + false + + + + true + false + + + + true + false + + + + true + false + + + + true + false + + + + true + false + + + + true + false + + + + true + true + + + + true + true + + + + true + false + + + + true + false + + + + true + false + + + + true + false + + + + true + false + + + diff --git a/workshop/recordings/README.md b/workshop/recordings/README.md new file mode 100644 index 0000000..77058f9 --- /dev/null +++ b/workshop/recordings/README.md @@ -0,0 +1,33 @@ +# Pre-recorded JFR files + +Five GC stress scenarios across two collectors, captured against TradeStreamEE running at roughly 50K-80K messages per second. + +Each recording is approximately 60 seconds wall-clock, using the `tradestream-workshop.jfc` profile, with 4 GB heap (`-Xms4g -Xmx4g`). The pressure framework gives each scenario 10 seconds of warmup before the recording window opens. + +| File | Cluster | Scenario | What to look for | +|--------------------------|---------|-------------------|----------------------------------------------------------------------------| +| `c4-baseline.jfr` | C4 | `STEADY_LOAD` | Sub-millisecond pauses across the recording. The reference. | +| `g1-baseline.jfr` | G1 | `STEADY_LOAD` | Periodic young-gen pauses of 5-15 ms even at steady state. | +| `c4-growing-heap.jfr` | C4 | `GROWING_HEAP` | Heap grows 100 MB → 2 GB over 60s. Look at GPGC concurrent old-gen cycles. | +| `g1-growing-heap.jfr` | G1 | `GROWING_HEAP` | Mixed collection pauses scaling with live set. | +| `c4-promotion-storm.jfr` | C4 | `PROMOTION_STORM` | 300 MB/s with 50% survival. No visible pause increase. | +| `g1-promotion-storm.jfr` | G1 | `PROMOTION_STORM` | `PromoteObjectOutsidePLAB` events climbing; mixed collections trigger. | +| `c4-fragmentation.jfr` | C4 | `FRAGMENTATION` | Small objects (100-1000 B), random lifetimes. Compaction is concurrent. | +| `g1-fragmentation.jfr` | G1 | `FRAGMENTATION` | G1 region freelist pressure. Watch `jdk.G1HeapRegionTypeChange`. | +| `c4-cross-gen-refs.jfr` | C4 | `CROSS_GEN_REFS` | Write barrier is cheap, no remembered set. | +| `g1-cross-gen-refs.jfr` | G1 | `CROSS_GEN_REFS` | `jdk.GCPhasePauseLevel1 → Update RS` time should be the dominant phase. | + +## Regenerating + +If you want to capture fresh recordings on your hardware: + +```bash +./start-comparison.sh +./workshop/scripts/record-scenarios.sh +``` + +The script overwrites `c4-*.jfr` and `g1-*.jfr` in this directory. + +## Size budget + +Workshop recordings target under 30 MB each. The `.jfc` profile disables per-TLAB stack traces (the biggest source of recording bloat under sustained allocation) and uses `jdk.ObjectAllocationSample` instead. 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z(l8W#Zdoilu*b60KaYI_S{K)of*FAF$T;!(rG;sY5wRcbuR)PPyB(G%jkw7wVQo1j ztm|Xr_}<;>#xQ1pA`d@eINLs4nolN5i1TqqrI{l1#L_XcK)7tZ@cVyb0XZqM^-5LuG1PI~jz#E

    @@ -1654,25 +1654,25 @@

    Five adversarial workloads targeting G1 weaknesses

    Young GC pause frequency - GROWING_HEAP + INTRADAY_POSITION_GROWTH 150 MB/s 100 MB → 2 GB (60s) Mixed collection pause scaling - PROMOTION_STORM + EARNINGS_SPIKE 300 MB/s 1 GB (50% survival) Old generation collection - FRAGMENTATION + MULTI_VENUE_QUOTE_CHURN 200 MB/s 1 GB fragmented Compaction pauses - CROSS_GEN_REFS + LONG_HORIZON_POSITION_BOOK 150 MB/s 800 MB old gen Remembered set overhead @@ -1682,8 +1682,8 @@

    Five adversarial workloads targeting G1 weaknesses

    Each scenario uses 4 parallel virtual threads to mirror production multi-handler workloads. Memory scenarios defined in AllocationMode.java, CPU workloads via CDI Workload implementations.

    @@ -1745,10 +1745,10 @@

    Seven compute-intensive workloads that stress GC under realistic pressure - +
    -

    CROSS_GEN_REFS: Remembered Set Stress

    +

    LONG_HORIZON_POSITION_BOOK: Remembered Set Stress

    The Killer Scenario for G1

    
 // Old-generation holder object (~1MB each, will be promoted by GC)
@@ -1797,27 +1797,27 @@ 
    Scenario Implementation Details
    
             
    How Each Scenario Generates Pressure
    
             
    
                 
    
-                    
    FRAGMENTATION
    
+                    
    MULTI_VENUE_QUOTE_CHURN
    
                     
    
 // Random small objects create holes
-private void allocateFragmentationGarbage(
+private void allocateQuoteChurnGarbage(
     int totalBytes, int threads) {
     while (remaining > 0) {
         int size = random(100, 1000);
         byte[] garbage = new byte[size];
         random.nextBytes(garbage);
         remaining -= size;
-        // Small objects die fast but
-        // fragment the free space
+        // Short-lived quote updates die fast
+        // and fragment the free space
     }
 }
    
-                    
    100-1000 byte objects create a Swiss cheese heap that triggers G1 compaction.
    
+                    
    100-1000 byte quote updates create a Swiss cheese heap that triggers G1 compaction.
    
                 
    
                 
    
-                    
    PROMOTION_STORM
    
+                    
    EARNINGS_SPIKE
    
                     
    
-// 50% survive to old generation
-private void executePromotionStorm(
+// 50% of orders survive to old generation
+private void executeEarningsSpike(
     AllocationMode mode) {
     int transient = bytes / 2;
     int promotable = bytes / 2;
@@ -1825,16 +1825,16 @@ 
    PROMOTION_STORM
    
     allocateTransientGarbage(transient, 4);
     allocatePromotableGarbage(promotable, 4);
 
-    // Move promoted objects to live set
+    // Move promoted orders to live set
     while ((obj = promotableObjects.poll()) != null)
         liveSet.add(obj);
 }
    
-                    
    50% survival rate floods old gen, forcing G1 into expensive mixed collections.
    
+                    
    50% order survival floods old gen, forcing G1 into expensive mixed collections.
    @@ -1853,24 +1853,24 @@

    YAML-Driven Test Sequences

    - mode: STEADY_LOAD durationSeconds: 10 description: "Baseline - calm before the open" - - mode: PROMOTION_STORM + - mode: EARNINGS_SPIKE durationSeconds: 20 description: "Market open - sudden influx of orders" - mode: STEADY_LOAD durationSeconds: 10 description: "Post-open stabilization" -FRAGMENTATION_HELL: - name: "Fragmentation Hell" - description: "Maximum fragmentation to trigger compaction pauses" +QUOTE_CHURN_HELL: + name: "Quote Churn Hell" + description: "Maximum quote churn to trigger compaction pauses" steps: - - mode: FRAGMENTATION + - mode: MULTI_VENUE_QUOTE_CHURN durationSeconds: 30 - description: "Build up fragmented heap" - - mode: GROWING_HEAP + description: "Build up fragmented heap from short-lived quotes" + - mode: INTRADAY_POSITION_GROWTH durationSeconds: 30 - description: "Grow heap to force full compaction" - - mode: CROSS_GEN_REFS + description: "Grow position book to force full compaction" + - mode: LONG_HORIZON_POSITION_BOOK durationSeconds: 30 description: "Add remembered set pressure on top"     @@ -1958,7 +1958,7 @@

    Metrics Collected

    -

    G1GC Under PROMOTION_STORM

    +

    G1GC Under EARNINGS_SPIKE

    
 {
   "totalPauseCount": 164,
@@ -1969,7 +1969,7 @@ 
    G1GC Under PROMOTION_STORM
    
 }
    -

    C4 Under PROMOTION_STORM

    +

    C4 Under EARNINGS_SPIKE

    
 {
   "totalPauseCount": 665,
@@ -2132,10 +2132,10 @@ 
    G1 Cluster
    
         
 
         
-        
+        
         
         
    
-            
    PROMOTION_STORM: G1 vs C4
    
+            
    EARNINGS_SPIKE: G1 vs C4
    
             
    300 MB/sec, 50% Survival Rate
    
             
    
                 
    
@@ -2181,10 +2181,10 @@ 
    C4/GPGC
    
         
    
 
         
-        
+        
         
         
    
-            
    GROWING_HEAP: Live Set Scaling
    
+            
    INTRADAY_POSITION_GROWTH: Position Book Scaling
    
             
    100 MB → 2 GB over 60 Seconds
    
             
    
                 
    
@@ -2273,8 +2273,8 @@ 
    All Scenarios: C4 Wins Every Time
    
                     G1GC
                     C4/GPGC
                 
-                Max Pause (PROMOTION_STORM)25 ms2 ms
-                Avg Pause (PROMOTION_STORM)4.87 ms0.078 ms
+                Max Pause (EARNINGS_SPIKE)25 ms2 ms
+                Avg Pause (EARNINGS_SPIKE)4.87 ms0.078 ms
                 SLA Violations (>10ms)200
                 Total Pause Time799 ms52 ms
                 Pause Scaling with HeapGrows linearlyConstant
@@ -2463,8 +2463,8 @@ 
    Apply Scenarios and Measure Results
    
 # 2. Reset GC statistics for clean measurement
 curl -X POST http://localhost:8080/api/gc/reset
 
-# 3. Apply the CROSS_GEN_REFS scenario
-curl -X POST http://localhost:8080/api/pressure/mode/CROSS_GEN_REFS
+# 3. Apply the LONG_HORIZON_POSITION_BOOK scenario
+curl -X POST http://localhost:8080/api/pressure/mode/LONG_HORIZON_POSITION_BOOK
 
 # 4. Wait 30 seconds, then check GC statistics
 sleep 30
diff --git a/src/main/webapp/workshop.html b/src/main/webapp/workshop.html
new file mode 100644
index 0000000..9c439ea
--- /dev/null
+++ b/src/main/webapp/workshop.html
@@ -0,0 +1,1774 @@
+
+
+
+    
+    
+    JFR for Low-Latency Systems - Workshop
+    
+    
+    
+    
+    
+    
+    
+    
+
+
+
+
    
+    
    
+        
+        
    JFR Workshop
    
+        JNation 2026
+    
    
+    
    
+        3h 30m
+        5 Modules
+    
    
+
    
+
+
    
+
+
+
+    
+
+
    
+
+    
    
+        
    Low-Latency Trading with Jakarta EE and Payara Micro
    
+        
    Build, observe, and stress-test a real trading system with JFR · JNation hands-on workshop
    
+
+        
    
+            3h 30m
+            5 Modules
+            Hands-on Exercises
+            Two OpenJDK runtimes, one Jakarta EE app
+        
    
+
+        
    
+            
    What You Will Learn
    
+            
      
+                
    1. Run a Jakarta EE 11 trading application on Payara Micro 7 with WebSocket fan-out, JAX-RS endpoints, virtual-thread concurrency, and Hazelcast clustering.
      2. 
+                
    2. Read a JFR recording from any Java runtime in under five minutes: find the dominant latency contributor, distinguish young, mixed, and full collections by their signatures, and recognise the four common GC pathologies.
      3. 
+                
    3. Add custom @Name-annotated JFR events that correlate domain behaviour with runtime events.
      4. 
+                
    4. Stress-test a Jakarta EE application under adversarial conditions and diagnose performance regressions from the recordings.
      5. 
+                
    5. Read the runtime characteristics out of a JFR recording without prejudice, and let the data drive the production conversation.
      6. 
+            
    
+        
    
+
+        
    
+            
    What You Leave With
    
+            
      
+                
    • The TradeStreamEE source and Docker setup — a real Jakarta EE 11 trading app on Payara Micro 7.
      • 
+                
    • Ten pre-recorded .jfr files across five scenarios on two OpenJDK runtimes.
      • 
+                
    • A printable JFR analysis checklist.
      • 
+                
    • Three reusable JFR event templates for your own applications.
      • 
+                
    • A diagnostic mental model that transfers to any Java application on any runtime.
      • 
+            
    
+        
    
+    
    
+
+    
    
+        
    Architecture You Will Be Running
    
+
+        
    
+            
    Publishervirtual thread
    
+            →
+            
    SBE Flyweightoff-heap encode
    
+            →
+            
    Aeron IPCshared memory
    
+            →
+            
    FragmentHandlerzero-copy decode
    
+            →
+            
    MatchingEngine
    
+            →
+            
    Broadcaster
    
+            →
+            
    WebSocketclients
    
+        
    
+
+        
    The default workshop setup (docker-compose-workshop.yml) runs two single-instance Payara Micro containers, one per collector, each with 2 GB heap. The only deliberate difference is the garbage collector.
    
+
+        
    
+            
    
+                ZGC :8080
+                Zulu 25 / ZGC / 2 GB heap
+            
    
+            
    
+                G1 :9080
+                Temurin 25 / G1GC / 2 GB heap
+            
    
+        
    
+    
    
+
+    
    
+        
    Pre-workshop Setup
    
+        
    Run this on your laptop before the session. Allow 20 minutes the first time.
    
+
+        
    
+            
    
+                bash
+                
+            
    
+            
    git clone <repo-url>
+cd trader-stream-ee
+git checkout jnation-workshop
+./workshop/scripts/quickstart.sh
    
+        
    
+
+        
    You should end up with:
    
+
+        
    
+            
+                
+                
+                    
+                    
+                
+            
    URLPurpose
    http://localhost:8080/trader-stream-ee/ZGC instance (Zulu 25)
    http://localhost:9080/trader-stream-ee/G1 instance (Temurin 25)
    
+        
    
+
+        
    
+            
    JDK Mission Control: Install Azul Mission Control (free) or the OpenJDK JMC build.
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    
+            
    01
    
+            
    Setup and Warm-up
    
+            
    Get every attendee from clone to "I can open a real JFR recording in JMC" within 30 minutes.
    
+            30 min
+        
    
+
+        
    
+            
    1.1 Verify the Clusters
    
+            
    
+                
    
+                    bash
+                    
+                
    
+                
    curl -s http://localhost:8080/trader-stream-ee/api/health/check | jq
+curl -s http://localhost:9080/trader-stream-ee/api/health/check | jq
    
+            
    
+            
    Both must return "status": "healthy". If one is unhealthy, give it another 30 seconds; Payara Micro's deploy completes asynchronously.
    
+        
    
+
+        
    
+            
    1.2 Generate a Baseline Recording
    
+            
    The application exposes a JFR REST API. Start a 60-second recording while the publisher runs in steady mode.
    
+
+            
    
+                
    
+                    bash
+                    
+                
    
+                
    # ZGC baseline
+curl -X POST 'http://localhost:8080/trader-stream-ee/api/jfr/recording/start?name=baseline&durationSeconds=60&settings=tradestream-workshop'
+
+# G1 baseline
+curl -X POST 'http://localhost:9080/trader-stream-ee/api/jfr/recording/start?name=baseline&durationSeconds=60&settings=tradestream-workshop'
    
+            
    
+
+            
    The recording auto-stops after 60 seconds and dumps to disk:
    
+
+            
    
+                
    
+                    bash
+                    
+                
    
+                
    ls -lh monitoring/recordings/workshop-zgc/
+ls -lh monitoring/recordings/workshop-g1/
    
+            
    
+        
    
+
+        
    
+            
    1.3 Open in JMC
    
+            
    
+                
    
+                    bash
+                    
+                
    
+                
    jmc -open monitoring/recordings/workshop-zgc/baseline-*.jfr
    
+            
    
+            
    In JMC, find these views:
    
+            
      
+                
    1. Garbage Collections (under General or JVM Internals) - the headline pause times.
      2. 
+                
    2. Memory → Allocation - per-thread allocation rates.
      3. 
+                
    3. Threads - find market-data-publisher (the virtual thread driving the Aeron burst loop).
      4. 
+            
    
+        
    
+
+        
    
+            Exercise
+            
    Find the Longest GC Pause
    
+            
    Find the longest GC pause in your baseline recording. Note:
    
+            
      
+                
    • Its duration in milliseconds.
      • 
+                
    • The collector that produced it (G1 Young Generation, ZGC, etc.).
      • 
+                
    • The cause field (G1 Evacuation Pause, Allocation Failure, etc.).
      • 
+            
    
+            
    Hint: in JMC, find the Garbage Collections view and sort by Longest Pause descending. See exercises/module-1-find-longest-pause/ for hints and expected output.
    
+        
    
+
+        
    
+            
    Discussion Checkpoint
    
+            
    Compare findings across the room. The ZGC baseline should show pauses under 1 ms; the G1 baseline should show occasional young-gen pauses around 5-15 ms even under steady allocation. The interesting question is why the difference exists at idle, not just under stress.
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    
+            
    02
    
+            
    Reading JFR Recordings
    
+            
    Build the mental model that lets you triage a JFR recording in five minutes.
    
+            60 min
+        
    
+
+        
    
+            
    2.1 GC Events: What to Read First
    
+            
    JFR records dozens of GC event types. For pause analysis, three matter most:
    
+
+            
    
+                
+                    
+                    
+                        
+                        
+                        
+                    
+                
    EventWhat It Tells You
    jdk.GarbageCollectionWall-clock pause time, cause, sum of phases. The headline.
    jdk.GCPhasePausePer-phase pause breakdown (mark, evacuate, ref-processing). Where the time actually went.
    jdk.GCPhaseParallel / jdk.GCPhaseConcurrentSubphase work, useful for distinguishing root scanning from object copy.
    
+            
    
+
+            
    For G1 specifically: jdk.G1HeapSummary, jdk.G1HeapRegionInformation, jdk.EvacuationInformation, jdk.EvacuationFailed, jdk.PromotionFailed.
    
+        
    
+
+        
    
+            
    2.2 Pause Time Distributions
    
+            
    Average pause time lies. Distributions tell the truth.
    
+
+            
    
+                
    P50typical user feels
    
+                →
+                
    P991 in 100 requests hits
    
+                →
+                
    P99.9causes incidents
    
+                →
+                
    Maxworst single pause
    
+            
    
+
+            
    
+                
    A 5-second recording at 60K msg/sec produces roughly 100 young collections under steady allocation. P99 over that sample size is barely meaningful. Workshop recordings are 60 seconds long for that reason, and even then your statistical confidence is limited. In production, recordings should be hours long for stable percentiles.
    
+            
    
+        
    
+
+        
    
+            
    2.3 Young versus Mixed versus Full
    
+            
    The Collector Name column tells you which GC algorithm ran. This workshop uses two of the four main collectors available in OpenJDK:
    
+
+            
    
+                
+                    
+                    
+                        
+                        
+                        
+                        
+                    
+                
    CollectorSourceStrategyPause Behaviour
    G1OpenJDK 9+Generational, mostly concurrent. Young collections are STW.Pauses scale with live set. Typical 5-50 ms.
    ZGCOpenJDK 11+ (prod JDK 15+)Generational (since JDK 21), fully concurrent.Sub-millisecond regardless of heap size.
    ShenandoahOpenJDK 12+Concurrent, brooks pointers.Similar to ZGC: sub-millisecond.
    C4Azul Platform PrimeFully concurrent, no STW phases at all.Zero pauses, even during compaction.
    
+            
    
+
+            
    In the Garbage Collections view, filter by Collector Name:
    
+
+            
    
+                
+                    
+                    
+                        
+                        
+                        
+                        
+                    
+                
    Collector NameWhat G1 Was Doing
    G1New (Normal)Young-only collection. Cheap.
    G1MixedYoung plus some old regions. The expensive case.
    G1OldWhole-heap, stop-the-world. "You have a problem."
    G1ConcurrentMarkMark phases running with the application; not a pause.
    
+            
    
+
+            
    Common Causes
    
+            
    
+                
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                        
+                    
+                
    CauseMeaningCollector
    Allocation RateApp allocating fast enough to fill young gen. Normal, healthy.G1, ZGC
    G1 Evacuation PauseG1 moving live objects out of young regions.G1
    High UsageHeap occupancy crossed a threshold. ZGC initiates concurrent cycle.ZGC
    G1 Humongous AllocationObject larger than half a G1 region. Causes fragmentation.G1
    System.gc()Explicit GC request. Usually unwanted in production.Any
    Metadata GC ThresholdMetaspace filled up. Often dynamic class generation.Any
    
+            
    
+
+            
    
+                
    How to read G1 Humongous Allocation: G1 divides the heap into fixed-size regions (16 MB in this workshop). Any object larger than half a region (8 MB) is "humongous." G1 cannot move these during collection, so they cause fragmentation and force immediate old-gen allocation. If you see it frequently, the fix is either smaller allocations or larger G1 regions (-XX:G1HeapRegionSize).
    
+            
    
+        
    
+
+        
    
+            
    2.4 The Four Pathologies
    
+            
    GC pauses fall into four categories, each with a distinct JFR signature. These four patterns let you diagnose any GC problem from a recording, regardless of the application.
    
+
+            
    
+                
+                    
+                    
+                        
+                        
+                        
+                        
+                    
+                
    PathologyWhat Goes WrongAnalogy
    Promotion StormObjects survive young-gen collections faster than the collector can promote them. Old gen fills rapidly.A conveyor belt dumping packages into a warehouse faster than the forklifts can shelve them.
    FragmentationMany short-lived objects of different sizes leave the heap pitted with small free gaps. No single gap is large enough for a big allocation.A parking lot where every space has a motorcycle in it; no room for a delivery truck even though half the lot is "empty."
    Cross-generational ReferencesOld objects hold many references to young objects. The collector must scan these during every young-gen collection, adding to pause time.A filing cabinet full of sticky notes pointing at documents on your desk. Every time you clear your desk, you have to check every sticky note.
    Evacuation FailureThe collector tries to move objects out of a region but there is nowhere to put them. The entire heap is too full.A removals truck shows up but every storage unit in the city is already rented.
    
+            
    
+
+            
    Triage Decision Tree
    
+            
    
+                
      
+                    
    • Long GC pause → Pause time scales with old gen?
      • 
+                    
    • → Promotion storm: too many objects surviving
      • 
+                    
    • → Many small regions?
      • 
+                    
    • → Fragmentation: compaction overhead
      • 
+                    
    • → High RememberedSet update time?
      • 
+                    
    • → Cross-generational refs: write barrier pressure
      • 
+                    
    • → EvacuationFailed events?
      • 
+                    
    • → Evacuation failure: to-space exhausted
      • 
+                
    
+            
    
+
+            
    See analysis-checklist.md for the full triage tree with telltale JFR events per pathology.
    
+        
    
+
+        
    
+            
    2.5 Diagnose EARNINGS_SPIKE
    
+
+            
    
+                
    Pre-recorded files must exist before this module. Run ./workshop/scripts/record-scenarios.sh once during setup (about 16 minutes), or have the facilitator pre-generate them.
    
+            
    
+
+            
    Use the pre-recorded files:
    
+
+            
    
+                
    
+                    bash
+                    
+                
    
+                
    jmc -open workshop/recordings/zgc-earnings-spike.jfr
+jmc -open workshop/recordings/g1-earnings-spike.jfr
    
+            
    
+
+            
    Or generate fresh:
    
+
+            
    
+                
    
+                    bash
+                    
+                
    
+                
    curl -X POST 'http://localhost:9080/trader-stream-ee/api/jfr/recording/start?name=earnings-live&durationSeconds=75&settings=tradestream-workshop'
+sleep 10
+curl -X POST 'http://localhost:9080/trader-stream-ee/api/pressure/mode/EARNINGS_SPIKE'
+sleep 60
+curl -X POST 'http://localhost:9080/trader-stream-ee/api/pressure/mode/OFF'
    
+            
    
+
+            
    In the G1 recording you should see:
    
+            
      
+                
    • Young-gen collections becoming more frequent.
      • 
+                
    • The pause time gradually rising as old gen fills.
      • 
+                
    • PromoteObjectOutsidePLAB events climbing.
      • 
+                
    • Eventually a mixed collection with a noticeable pause.
      • 
+            
    
+
+            
    In the ZGC recording the same workload should produce no visible pause increase. Use this as the comparison anchor for Module 4.
    
+
+            
    Full hints and expected outputs are in exercises/module-2-diagnose-earnings-spike/.
    
+        
    
+
+        
    
+            
    Discussion Checkpoint
    
+            
      
+                
    1. If your production app has a P99 pause of 80 ms and a Max of 800 ms, which one do you optimise first, and why?
      2. 
+                
    2. What recording duration would you need for the P99 to be statistically meaningful given 10 collections per minute?
      3. 
+            
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    
+            
    03
    
+            
    Custom JFR Events
    
+            
    Add a domain-specific event that correlates application behaviour with GC events.
    
+            45 min
+        
    
+
+        
    
+            
    3.1 The Shape of a Custom Event
    
+            
    A custom event is a public class extends jdk.jfr.Event annotated with @Name, @Label, @Category, and optionally @StackTrace(false) for hot paths.
    
+
+            
    
+                
    
+                    java
+                    
+                
    
+                
    @Name("trade.published")
+@Label("Trade Published")
+@StackTrace(false)
+public static class TradePublished extends Event {
+    public String symbol;
+    public long price;
+    public int quantity;
+    public String side;
+}
    
+            
    
+
+            
    Emit it from the publisher:
    
+
+            
    
+                
    
+                    java
+                    
+                
    
+                
    TradePublished tradeEvent = new TradePublished();
+if (tradeEvent.isEnabled()) {
+    tradeEvent.symbol = symbol;
+    tradeEvent.price = price;
+    tradeEvent.quantity = qty;
+    tradeEvent.side = side.name();
+    tradeEvent.commit();
+}
    
+            
    
+
+            
    
+                
    Critical detail: event.isEnabled() is the cost gate. When the event is disabled, isEnabled() returns false and the entire body is skipped. The JIT can sometimes eliminate the bare new TradePublished() allocation, but it cannot eliminate any computation you do to compute the field values (string concatenation, lookups, formatting). The isEnabled() gate guarantees field-population work runs only when JFR is recording the type.
    
+                
    @StackTrace(false) disables stack trace capture per emission. Stack traces are the most expensive part of a JFR event; for events that fire millions of times per second, leave them off.
    
+            
    
+        
    
+
+        
    
+            
    3.2 Where to Emit From
    
+            
      
+                
    1. One event per logical operation, not per method call. Don't decorate every function; pick the boundary where the operation succeeded or failed.
      2. 
+                
    2. Numeric fields are cheap; String fields are not. Strings get interned in the JFR string pool, but the interning lookup is hot-path overhead. Use enums-as-ints where possible.
      3. 
+                
    3. Begin/commit pairs measure duration. Use event.begin() and event.commit() to capture elapsed time automatically; JFR records the start, end, and thread.
      4. 
+            
    
+        
    
+
+        
    
+            
    3.3 Correlating with GC Events
    
+            
    In JMC, the Event Browser lets you overlay timelines. To see whether GC pauses cause SBE encoding stalls:
    
+            
      
+                
    1. Find sbe.encode under Custom events.
      2. 
+                
    2. Find jdk.GCPhasePause under GC events.
      3. 
+                
    3. Drag both onto the same time axis.
      4. 
+            
    
+
+            
    GC pause:        [---50ms---]
+SBE encode:  ............    .  .  .   .
+                ^             ^
+                stalls        catches up
    
+
+            
    If your SBE encode count drops to zero during the pause window, the publisher virtual thread is paused. If it does not drop, you have a virtual-thread carrier pinning problem.
    
+        
    
+
+        
    
+            Exercise
+            
    Track Burst Patterns
    
+            
    Add a BurstPatternEvent that fires when the publisher detects a 5x rate spike. Starter code is at exercises/module-3-burst-event/BurstPatternEvent.starter.java.
    
+            
      
+                
    1. Define the event class with @Name("burst.pattern.detected").
      2. 
+                
    2. Add fields: multiplier (int), windowMillis (long), peakRate (double).
      3. 
+                
    3. Wire it into MarketDataPublisher.detectBurstMode().
      4. 
+                
    4. Install with ./workshop/scripts/install-exercise.sh module-3-burst-event.
      5. 
+                
    5. Rebuild, re-record, and verify the event appears in the Event Browser.
      6. 
+                
    6. Build a custom JMC dashboard that overlays your event with gc.sla.violation and aeron.backpressure.
      7. 
+            
    
+            
    The completed dashboard XML is at exercises/module-3-burst-event/jmc-dashboard.xml; import it via JMC's File → Open → Custom Dashboard.
    
+        
    
+
+        
    
+            
    Discussion Checkpoint
    
+            
    What would you instrument in your own application? What is the single hottest code path you currently have no visibility into?
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    
+            
    04
    
+            
    Stress Testing & Production Readiness
    
+            
    Stress-test the same Jakarta EE application on two OpenJDK runtimes. Read the recordings and decide whether the application is ready to ship. The workshop will not declare a winner; the recordings will say what they say, and you will read them.
    
+            45 min
+        
    
+
+        
    
+            
    4.1 The Setup Is Already Running
    
+            
    Both clusters are healthy. You have already run baseline + EARNINGS_SPIKE on both. The remaining scenarios:
    
+
+            
    
+                
+                    
+                    
+                        
+                        
+                        
+                    
+                
    ScenarioWhat It Stresses
    INTRADAY_POSITION_GROWTHMixed collection scaling as the position book grows from 100 MB to 2 GB.
    MULTI_VENUE_QUOTE_CHURNCompaction overhead under short-lived multi-venue quote churn.
    LONG_HORIZON_POSITION_BOOKWrite-barrier and remembered-set maintenance.
    
+            
    
+        
    
+
+        
    
+            
    4.2 Generate Recordings
    
+            
    Pre-recorded files are in workshop/recordings/. To produce fresh recordings:
    
+
+            
    
+                
    
+                    bash
+                    
+                
    
+                
    ./workshop/scripts/record-scenarios.sh
    
+            
    
+            
    This takes about 7 minutes and produces all 10 .jfr files (2-3 MB each).
    
+        
    
+
+        
    
+            
    4.3 Side-by-Side Analysis
    
+            
    Open paired recordings in JMC:
    
+
+            
    
+                
    
+                    bash
+                    
+                
    
+                
    jmc -open workshop/recordings/zgc-multi-venue-quote-churn.jfr \
+    -open workshop/recordings/g1-multi-venue-quote-churn.jfr
    
+            
    
+
+            
    For each pair, fill in this comparison table:
    
+
+            
    
+                
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                        
+                    
+                
    MetricZGCG1Why They Differ
    Max pause (ms)  
    P99 pause (ms)  
    GC throughput (% of app time)  
    Old gen size at end  
    EvacuationFailed events  
    trade.published total  
    
+            
    
+
+            
    For CLI-only comparison:
    
+
+            
    
+                
    
+                    bash
+                    
+                
    
+                
    ./workshop/scripts/compare-recordings.sh \
+    workshop/recordings/zgc-multi-venue-quote-churn.jfr \
+    workshop/recordings/g1-multi-venue-quote-churn.jfr
    
+            
    
+        
    
+
+        
    
+            Exercise
+            
    Document the Differences
    
+            
    For each of the four stress scenarios, write a one-sentence assessment of production readiness for each runtime, citing the JFR events that drove your assessment. Reference answers (from real recordings) are in exercises/module-4-stress-testing/README.md.
    
+        
    
+
+        
    
+            
    Discussion Checkpoint
    
+            
      
+                
    1. Based on the recordings in front of you, which runtime configuration would you ship to production for a sub-10 ms P99 latency SLA? Cite the JFR events that justify the choice.
      2. 
+                
    2. At what allocation rate or live-set size does each runtime start to fall behind the application's needs? Where is that line for your production workload, not ours?
      3. 
+            
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    
+            
    05
    
+            
    Applying to Your Applications
    
+            
    Take the patterns from this workshop home to a real production application.
    
+            30 min
+        
    
+
+        
    
+            
    5.1 Pattern Matching
    
+            
    The four pathologies are not specific to trading systems. The closest analogues in common workloads:
    
+
+            
    
+                
+                    
+                    
+                        
+                        
+                        
+                        
+                    
+                
    PathologyWhere It Shows Up Outside HFT
    Promotion StormCaches with TTL > young-gen GC interval; pooled connection objects.
    FragmentationLong-lived applications with many distinct object sizes (logging frameworks).
    Cross-gen RefsMutable singletons that hold references to recent request objects.
    Evacuation FailureHeap sized too tight for the survivor space; allocation bursts.
    
+            
    
+
+            
    The take-home reference is exercises/module-5-apply-to-your-app/gc-pathology-catalog.md, which restates the four patterns with their JFR signatures, plain-language root causes, and a fix-order list per pattern.
    
+        
    
+
+        
    
+            
    5.2 Allocation versus Collector Choice
    
+            
    The hardest call in performance work is: do I reduce allocation, or do I change collector?
    
+
+            
    
+                
      
+                    
    • Long GC pauses observed → Allocation rate > 500 MB/sec?
      • 
+                    
    • → Reduce allocation first: flyweight, off-heap, primitive arrays
      • 
+                    
    • → Heap > 8 GB?
      • 
+                    
    • → Consider concurrent collector: ZGC, Shenandoah
      • 
+                    
    • → Pause sensitive but P99 acceptable?
      • 
+                    
    • → Tune G1: MaxGCPauseMillis, InitiatingHeapOccupancyPercent
      • 
+                    
    • → Consider concurrent collector
      • 
+                
    
+            
    
+
+            
    
+                
    Reducing allocation is almost always cheaper in production than changing JVM. The exception is when you have already optimised the hot paths (zero-copy, flyweight, primitive arrays) and the residual GC cost is still material.
    
+            
    
+        
    
+
+        
    
+            
    5.3 Production-Safe JFR
    
+            
    Three rules for always-on JFR in production:
    
+            
      
+                
    1. Use the default profile, not workshop. -XX:StartFlightRecording=settings=default is the 1%-overhead setting. The workshop profile is 1-2%.
      2. 
+                
    2. Cap the size. maxsize=1g,maxage=24h keeps recordings circular without unbounded disk growth.
      3. 
+                
    3. Disable stack traces on hot events. @StackTrace(false) on every custom event you emit more than 1000 times per second.
      4. 
+            
    
+            
    See exercises/module-5-apply-to-your-app/production-jfr-flags.md for reference flags.
    
+        
    
+
+        
    
+            
    5.4 Event Templates
    
+            
    Three reusable event templates for your own applications, in exercises/module-5-apply-to-your-app/event-templates/:
    
+
+            
    
+                
+                    
+                    
+                        
+                        
+                        
+                    
+                
    TemplateWhen to Use It
    LatencyEventWrap any function whose tail latency matters; uses begin()/commit() for automatic duration.
    ThrottleEventEmit when a circuit breaker opens, a rate limit is hit, or backpressure activates.
    ResourceEventEmit when a finite resource (connection pool, file handle, cache slot) is reserved or released.
    
+            
    
+
+            
    Copy these into your own project, rename them, and start instrumenting.
    
+        
    
+
+        
    
+            
    Q&A and Open Debugging. Bring your own production JFR recording if you have one. We'll spend the last few minutes walking through real attendee recordings.
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    
+            
    Takeaways
    
+            
      
+                
    1. JFR is the diagnostic of record for production Jakarta EE applications. Ship every container with always-on JFR.
      2. 
+                
    2. The four GC pathologies have signatures you can recognise in any application on any JVM runtime.
      3. 
+                
    3. event.isEnabled() and @StackTrace(false) are the two rules for production-grade custom JFR events.
      4. 
+                
    4. Stress-test before shipping. JFR tells you what happened; pre-production stress tells you whether it will happen in prod.
      5. 
+                
    5. The runtime is a production decision with measurable consequences. The recording, not the brand, decides.
      6. 
+            
    
+        
    
+    
    
+
+    
    
+        
    
+            
    The Azul Stack
    
+            
    Where the workshop's runtime story continues, beyond the OpenJDK envelope.
    
+        
    
+
+        
    
+            
    You ran community Payara Micro 7 on Azul Zulu OpenJDK in the lab today. The commercial Azul stack consolidates the JDK, the Jakarta EE runtime, and the high-performance JVM under one vendor:
    
+
+            
    
+                
+                    
+                        
+                    
+                    
+                        
+                            
+                            
+                        
+                        
+                            
+                            
+                        
+                    
+                
    ProductWhat it adds beyond what you ran today
    Azul Payara Micro 7Same Jakarta EE 11 runtime, plus monthly security patches, CVE Numbering Authority disclosures, multi-phase lifecycle (Full / Extended / Lifetime), 24-48h bug-fix SLA, and Azul Zulu OpenJDK bundled in the subscription.
    Azul Platform PrimeThe JVM above the OpenJDK pause-time envelope: C4 collector, ReadyNow warmup, Falcon JIT, production support for workloads where ZGC's allocation envelope is the constraint.
    
+            
    
+
+            
    The JFR analysis skills you used today apply unchanged, and the same Payara application runs without modification on either runtime. Only the runtime ceiling changes.
    
+
+            
    Talk to us if your production workload has outgrown the recordings you read today.
    
+        
    
+    
    
+
+    
    
+        
    Further Reading
    
+        
+    
    
+
+
    
+
+
+
+
+
diff --git a/src/test/java/fish/payara/trader/BasicFunctionalityTest.java b/src/test/java/fish/payara/trader/BasicFunctionalityTest.java
index 3e97c9c..3a73b6d 100644
--- a/src/test/java/fish/payara/trader/BasicFunctionalityTest.java
+++ b/src/test/java/fish/payara/trader/BasicFunctionalityTest.java
@@ -18,9 +18,10 @@ void shouldVerifyAllocationModesWorkCorrectly() {
         // Test AllocationMode enum
         assertEquals(AllocationMode.OFF, AllocationMode.valueOf("OFF"));
         assertEquals(AllocationMode.STEADY_LOAD, AllocationMode.valueOf("STEADY_LOAD"));
-        assertEquals(AllocationMode.GROWING_HEAP, AllocationMode.valueOf("GROWING_HEAP"));
-        assertEquals(AllocationMode.PROMOTION_STORM, AllocationMode.valueOf("PROMOTION_STORM"));
-        assertEquals(AllocationMode.FRAGMENTATION, AllocationMode.valueOf("FRAGMENTATION"));
+        assertEquals(AllocationMode.INTRADAY_POSITION_GROWTH, AllocationMode.valueOf("INTRADAY_POSITION_GROWTH"));
+        assertEquals(AllocationMode.EARNINGS_SPIKE, AllocationMode.valueOf("EARNINGS_SPIKE"));
+        assertEquals(AllocationMode.MULTI_VENUE_QUOTE_CHURN, AllocationMode.valueOf("MULTI_VENUE_QUOTE_CHURN"));
+        assertEquals(AllocationMode.LONG_HORIZON_POSITION_BOOK, AllocationMode.valueOf("LONG_HORIZON_POSITION_BOOK"));
 
         // Test allocation rates
         assertEquals(0, AllocationMode.OFF.getAllocationRateMBPerSec());
diff --git a/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java b/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java
index 6dbf0db..eef483a 100644
--- a/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java
+++ b/src/test/java/fish/payara/trader/pressure/AllocationModeTest.java
@@ -21,14 +21,14 @@ class EnumValuesTests {
         @DisplayName("Should have all required allocation modes")
         void shouldHaveAllRequiredAllocationModes() {
             AllocationMode[] modes = AllocationMode.values();
-            assertEquals(6, modes.length, "Should have exactly 6 allocation modes");
+            assertEquals(13, modes.length, "Should have exactly 13 allocation modes");
 
             assertTrue(containsMode(modes, AllocationMode.OFF), "Should contain OFF mode");
             assertTrue(containsMode(modes, AllocationMode.STEADY_LOAD), "Should contain STEADY_LOAD mode");
-            assertTrue(containsMode(modes, AllocationMode.GROWING_HEAP), "Should contain GROWING_HEAP mode");
-            assertTrue(containsMode(modes, AllocationMode.PROMOTION_STORM), "Should contain PROMOTION_STORM mode");
-            assertTrue(containsMode(modes, AllocationMode.FRAGMENTATION), "Should contain FRAGMENTATION mode");
-            assertTrue(containsMode(modes, AllocationMode.CROSS_GEN_REFS), "Should contain CROSS_GEN_REFS mode");
+            assertTrue(containsMode(modes, AllocationMode.INTRADAY_POSITION_GROWTH), "Should contain INTRADAY_POSITION_GROWTH mode");
+            assertTrue(containsMode(modes, AllocationMode.EARNINGS_SPIKE), "Should contain EARNINGS_SPIKE mode");
+            assertTrue(containsMode(modes, AllocationMode.MULTI_VENUE_QUOTE_CHURN), "Should contain MULTI_VENUE_QUOTE_CHURN mode");
+            assertTrue(containsMode(modes, AllocationMode.LONG_HORIZON_POSITION_BOOK), "Should contain LONG_HORIZON_POSITION_BOOK mode");
         }
     }
 
@@ -48,10 +48,10 @@ void shouldHaveNonNullScenarioType(AllocationMode mode) {
         void shouldHaveCorrectScenarioTypes() {
             assertEquals(ScenarioType.NONE, AllocationMode.OFF.getScenarioType());
             assertEquals(ScenarioType.STEADY, AllocationMode.STEADY_LOAD.getScenarioType());
-            assertEquals(ScenarioType.GROWING, AllocationMode.GROWING_HEAP.getScenarioType());
-            assertEquals(ScenarioType.PROMOTION, AllocationMode.PROMOTION_STORM.getScenarioType());
-            assertEquals(ScenarioType.FRAGMENTATION, AllocationMode.FRAGMENTATION.getScenarioType());
-            assertEquals(ScenarioType.CROSS_REF, AllocationMode.CROSS_GEN_REFS.getScenarioType());
+            assertEquals(ScenarioType.INTRADAY_GROWTH, AllocationMode.INTRADAY_POSITION_GROWTH.getScenarioType());
+            assertEquals(ScenarioType.EARNINGS_SPIKE, AllocationMode.EARNINGS_SPIKE.getScenarioType());
+            assertEquals(ScenarioType.QUOTE_CHURN, AllocationMode.MULTI_VENUE_QUOTE_CHURN.getScenarioType());
+            assertEquals(ScenarioType.POSITION_BOOK, AllocationMode.LONG_HORIZON_POSITION_BOOK.getScenarioType());
         }
 
         @ParameterizedTest
@@ -85,7 +85,7 @@ void shouldHandleOffModeCorrectly() {
         }
 
         @ParameterizedTest
-        @ValueSource(strings = {"OFF", "STEADY_LOAD", "GROWING_HEAP", "PROMOTION_STORM"})
+        @ValueSource(strings = {"OFF", "STEADY_LOAD", "INTRADAY_POSITION_GROWTH", "EARNINGS_SPIKE"})
         @DisplayName("Should handle enum valueOf correctly")
         void shouldHandleEnumValueOfCorrectly(String modeName) {
             assertDoesNotThrow(() -> {
diff --git a/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java b/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java
index 7dfd5c0..ea679d8 100644
--- a/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java
+++ b/src/test/java/fish/payara/trader/rest/MemoryPressureResourceTest.java
@@ -74,6 +74,6 @@ void shouldReturnAllModes() {
         @SuppressWarnings("unchecked")
         Map> entity = (Map>) response.getEntity();
         assertTrue(entity.containsKey("STEADY_LOAD"));
-        assertTrue(entity.containsKey("PROMOTION_STORM"));
+        assertTrue(entity.containsKey("EARNINGS_SPIKE"));
     }
 }
diff --git a/workshop/README.md b/workshop/README.md
index 136c7d7..0d5d515 100644
--- a/workshop/README.md
+++ b/workshop/README.md
@@ -1,4 +1,4 @@
-# TradeStreamEE Workshop: Java Flight Recorder for Low-Latency Systems
+# TradeStreamEE Workshop: Low-Latency Trading with Jakarta EE and Payara Micro
 
 Hands-on workshop materials for JNation.
 
@@ -49,9 +49,9 @@ workshop/
 ├── scripts/                 # Verify, record, compare, install helpers
 ├── exercises/
 │   ├── module-1-find-longest-pause/
-│   ├── module-2-diagnose-promotion-storm/
+│   ├── module-2-diagnose-earnings-spike/
 │   ├── module-3-burst-event/
-│   ├── module-4-collector-comparison/
+│   ├── module-4-stress-testing/
 │   └── module-5-apply-to-your-app/
 └── slides/
     └── slides.md            # Marp markdown deck
diff --git a/workshop/WORKSHOP.md b/workshop/WORKSHOP.md
index a6a96e2..aa7328e 100644
--- a/workshop/WORKSHOP.md
+++ b/workshop/WORKSHOP.md
@@ -1,6 +1,6 @@
-# Java Flight Recorder for Low-Latency Systems
+# Low-Latency Trading with Jakarta EE and Payara Micro
 
-## A hands-on workshop for JNation
+## Build, observe, and stress-test a real trading system with JFR · JNation hands-on workshop
 
 Total time: 3 hours 30 minutes, broken into five modules. Each module ends with a hands-on exercise and a discussion checkpoint. You will leave with the application source, a generation script for the recordings, a printable analysis checklist, and reusable JFR event templates.
 
@@ -22,7 +22,6 @@ Senior Java developers comfortable with Jakarta EE, virtual threads, and idiomat
 
 Before running this workshop in front of a room, read [speaker-prep.md](./speaker-prep.md) and [operational-notes.md](./operational-notes.md). The speaker-prep file has the day-of checklist; operational-notes has the risk matrix and the live diagnostic checklist for when something misbehaves.
 
----
 
 ## Architecture you will be running
 
@@ -59,7 +58,6 @@ Each instance forms its own single-node Hazelcast cluster. Heap size, `AlwaysPre
 
 For a more powerful host (16+ GB RAM), you can run the full 3+3 side-by-side cluster with monitoring via `docker-compose-scale.yml` (ZGC) and `docker-compose-scale-standard.yml` (G1).
 
----
 
 ## Pre-workshop setup
 
@@ -93,7 +91,6 @@ JDK Mission Control installation:
 - Azul Mission Control (free): 
 - OpenJDK JMC build: 
 - 
----
 
 ## Module 1: Setup and warm-up (30 min)
 
@@ -135,9 +132,9 @@ jmc -open monitoring/recordings/workshop-zgc/baseline-*.jfr
 
 In JMC, find these views (exact path varies between OpenJDK JMC and Azul Mission Control; the view names are the same):
 
-1. **Garbage Collections** (under General or JVM Internals) — the headline pause times.
-2. **Memory → Allocation** — per-thread allocation rates.
-3. **Threads** — find `market-data-publisher` (the virtual thread driving the Aeron burst loop).
+1. **Garbage Collections** (under General or JVM Internals): the headline pause times.
+2. **Memory → Allocation**: per-thread allocation rates.
+3. **Threads**: find `market-data-publisher` (the virtual thread driving the Aeron burst loop).
 
 ### 1.4 Exercise: find the longest GC pause
 
@@ -153,7 +150,6 @@ Hint: in JMC, find the **Garbage Collections** view and sort by `Longest Pause`
 
 Compare findings across the room. The ZGC baseline should show pauses under 1 ms; the G1 baseline should show occasional young-gen pauses around 5-15 ms even under steady allocation. The interesting question is *why the difference exists at idle*, not just under stress.
 
----
 
 ## Module 2: Reading JFR recordings (60 min)
 
@@ -259,23 +255,23 @@ flowchart TB
 
 For each pathology there is one or two telltale events in JFR. See [analysis-checklist.md](./analysis-checklist.md) for the full triage tree.
 
-### 2.5 Exercise: diagnose PROMOTION_STORM (15 min)
+### 2.5 Exercise: diagnose EARNINGS_SPIKE (15 min)
 
 > **Pre-recorded files must exist before this module.** Run `./workshop/scripts/record-scenarios.sh` once during setup (about 16 minutes), or have the facilitator pre-generate them. The directory `workshop/recordings/` ships with only a README; the `.jfr` files are produced from your hardware.
 
 Use the pre-recorded files:
 
 ```bash
-jmc -open workshop/recordings/zgc-promotion-storm.jfr
-jmc -open workshop/recordings/g1-promotion-storm.jfr
+jmc -open workshop/recordings/zgc-earnings-spike.jfr
+jmc -open workshop/recordings/g1-earnings-spike.jfr
 ```
 
 Or generate fresh:
 
 ```bash
-curl -X POST 'http://localhost:9080/trader-stream-ee/api/jfr/recording/start?name=promo-live&durationSeconds=75&settings=tradestream-workshop'
+curl -X POST 'http://localhost:9080/trader-stream-ee/api/jfr/recording/start?name=earnings-live&durationSeconds=75&settings=tradestream-workshop'
 sleep 10
-curl -X POST 'http://localhost:9080/trader-stream-ee/api/pressure/mode/PROMOTION_STORM'
+curl -X POST 'http://localhost:9080/trader-stream-ee/api/pressure/mode/EARNINGS_SPIKE'
 sleep 60
 curl -X POST 'http://localhost:9080/trader-stream-ee/api/pressure/mode/OFF'
 ```
@@ -287,7 +283,7 @@ In the G1 recording you should see:
 - `PromoteObjectOutsidePLAB` events climbing.
 - Eventually a mixed collection with a noticeable pause.
 
-In the ZGC recording the same workload should produce no visible pause increase. Use this as the comparison anchor for Module 4. Full hints and expected outputs are in [exercises/module-2-diagnose-promotion-storm/](./exercises/module-2-diagnose-promotion-storm/README.md).
+In the ZGC recording the same workload should produce no visible pause increase. Use this as the comparison anchor for Module 4. Full hints and expected outputs are in [exercises/module-2-diagnose-earnings-spike/](./exercises/module-2-diagnose-earnings-spike/README.md).
 
 ### Module 2 discussion checkpoint
 
@@ -296,7 +292,6 @@ Two questions to debate around the room:
 1. If your production app has a P99 pause of 80 ms and a Max of 800 ms, which one do you optimise first, and why?
 2. What recording duration would you need for the P99 to be statistically meaningful given 10 collections per minute?
 
----
 
 ## Module 3: Custom JFR events (45 min)
 
@@ -383,21 +378,20 @@ The completed dashboard XML is at [`exercises/module-3-burst-event/jmc-dashboard
 
 What would you instrument in your own application? What is the single hottest code path you currently have no visibility into?
 
----
 
-## Module 4: Collector comparison (45 min)
+## Module 4: Stress testing and production readiness (45 min)
 
-**Goal:** Run identical workloads on ZGC and G1, then read the resulting recordings as evidence.
+**Goal:** Stress-test the same Jakarta EE application on two OpenJDK runtimes and read the recordings to decide whether the application is ready to ship. The workshop will not declare a winner; the recordings will say what they say, and you will read them.
 
 ### 4.1 The setup is already running (5 min)
 
-Both clusters are healthy. You have already run baseline + PROMOTION_STORM on both. The remaining scenarios are:
+Both clusters are healthy. You have already run baseline + EARNINGS_SPIKE on both. The remaining scenarios are:
 
-|     Scenario     |                        What it stresses                         |
-|------------------|-----------------------------------------------------------------|
-| `GROWING_HEAP`   | Mixed collection scaling as live set grows from 100 MB to 2 GB. |
-| `FRAGMENTATION`  | Compaction overhead under small-object churn.                   |
-| `CROSS_GEN_REFS` | Write-barrier and remembered-set maintenance.                   |
+|             Scenario             |                        What it stresses                         |
+|----------------------------------|-----------------------------------------------------------------|
+| `INTRADAY_POSITION_GROWTH`       | Mixed collection scaling as the position book grows from 100 MB to 2 GB. |
+| `MULTI_VENUE_QUOTE_CHURN`        | Compaction overhead under short-lived multi-venue quote churn.  |
+| `LONG_HORIZON_POSITION_BOOK`     | Write-barrier and remembered-set maintenance.                   |
 
 For each scenario, the application's `MemoryPressureService` produces the exact allocation pattern; you don't need to write any code.
 
@@ -416,10 +410,10 @@ This takes about 7 minutes and produces all 10 .jfr files (2-3 MB each).
 Open paired recordings in JMC:
 
 ```bash
-jmc -open workshop/recordings/zgc-fragmentation.jfr -open workshop/recordings/g1-fragmentation.jfr
+jmc -open workshop/recordings/zgc-multi-venue-quote-churn.jfr -open workshop/recordings/g1-multi-venue-quote-churn.jfr
 ```
 
-For each pair, fill in this comparison table (template at [exercises/module-4-collector-comparison/comparison-template.md](./exercises/module-4-collector-comparison/comparison-template.md)):
+For each pair, fill in this comparison table (template at [exercises/module-4-stress-testing/comparison-template.md](./exercises/module-4-stress-testing/comparison-template.md)):
 
 |            Metric             | ZGC | G1 | Why they differ |
 |-------------------------------|-----|----|-----------------|
@@ -434,22 +428,21 @@ For CLI-only comparison:
 
 ```bash
 ./workshop/scripts/compare-recordings.sh \
-    workshop/recordings/zgc-fragmentation.jfr \
-    workshop/recordings/g1-fragmentation.jfr
+    workshop/recordings/zgc-multi-venue-quote-churn.jfr \
+    workshop/recordings/g1-multi-venue-quote-churn.jfr
 ```
 
 ### 4.4 Exercise: document the differences (10 min)
 
-For each of the four stress scenarios, write a one-sentence summary of the behavioural difference. The expected answers (from real recordings) are in [exercises/module-4-collector-comparison/README.md](./exercises/module-4-collector-comparison/README.md).
+For each of the four stress scenarios, write a one-sentence assessment of production readiness for each runtime, citing the JFR events that drove your assessment. Reference summaries (from real recordings) are in [exercises/module-4-stress-testing/README.md](./exercises/module-4-stress-testing/README.md).
 
 ### Module 4 discussion checkpoint
 
-ZGC is not always the right answer. Two questions worth debating:
+Your trading system needs a sub-10 ms P99 latency SLA under adversarial load. Two questions:
 
-1. For an application with a 99.9% pause budget of 200 ms, is the operational complexity of running a concurrent collector justified? What does the answer depend on?
-2. If you change G1 to ZGC (concurrent, ships with OpenJDK 21+), how much of the pause reduction do you get? Where does throughput trade off against latency?
+1. Based on the recordings in front of you, which runtime configuration would you ship to production? Cite the JFR events that drive the choice. Be specific: which scenario, which collector, which pause percentile.
+2. At what allocation rate or live-set size does each runtime start to fall behind the application's needs? Where is that line for *your* production workload, not ours?
 
----
 
 ## Module 5: Applying to your applications (30 min)
 
@@ -511,7 +504,6 @@ Copy these into your own project, rename them, and start instrumenting.
 
 Bring your own production JFR recording if you have one. We'll spend the last few minutes walking through real attendee recordings.
 
----
 
 ## Takeaways
 
@@ -525,7 +517,6 @@ You leave with:
 
 The repository will keep producing fresh recordings as you change scenarios or add events. Treat it as a sandbox, not a frozen artefact.
 
----
 
 ## Further reading
 
diff --git a/workshop/exercises/module-2-diagnose-promotion-storm/README.md b/workshop/exercises/module-2-diagnose-earnings-spike/README.md
similarity index 58%
rename from workshop/exercises/module-2-diagnose-promotion-storm/README.md
rename to workshop/exercises/module-2-diagnose-earnings-spike/README.md
index 1100090..e8cbffd 100644
--- a/workshop/exercises/module-2-diagnose-promotion-storm/README.md
+++ b/workshop/exercises/module-2-diagnose-earnings-spike/README.md
@@ -1,21 +1,21 @@
-# Module 2 exercise: diagnose PROMOTION_STORM
+# Module 2 exercise: diagnose EARNINGS_SPIKE
 
 ## Problem
 
-The `PROMOTION_STORM` scenario allocates at 300 MB/sec with roughly 50% survival to old generation. Use JFR to explain *why* this produces increasing pause times on G1, and *why* ZGC does not respond the same way.
+The `EARNINGS_SPIKE` scenario simulates a post-earnings directional flow: 300 MB/sec allocation with roughly 50% order survival into old generation. Use JFR to explain *why* this produces increasing pause times on the G1 runtime, and *why* the ZGC runtime does not respond the same way.
 
 ## Inputs
 
-- `workshop/recordings/g1-promotion-storm.jfr`
-- `workshop/recordings/zgc-promotion-storm.jfr`
+- `workshop/recordings/g1-earnings-spike.jfr`
+- `workshop/recordings/zgc-earnings-spike.jfr`
 
 Or generate fresh against your running clusters:
 
 ```bash
 # G1
-curl -X POST 'http://localhost:9081/trader-stream-ee/api/jfr/recording/start?name=promo-live&durationSeconds=75&settings=tradestream-workshop'
+curl -X POST 'http://localhost:9081/trader-stream-ee/api/jfr/recording/start?name=earnings-live&durationSeconds=75&settings=tradestream-workshop'
 sleep 10
-curl -X POST 'http://localhost:9081/trader-stream-ee/api/pressure/mode/PROMOTION_STORM'
+curl -X POST 'http://localhost:9081/trader-stream-ee/api/pressure/mode/EARNINGS_SPIKE'
 sleep 60
 curl -X POST 'http://localhost:9081/trader-stream-ee/api/pressure/mode/OFF'
 ```
@@ -25,16 +25,16 @@ curl -X POST 'http://localhost:9081/trader-stream-ee/api/pressure/mode/OFF'
 Open the G1 recording in JMC and check these views in order:
 
 1. **`Outline → General → Garbage Collections`** sorted by Start Time. Watch the pause duration column over the recording duration. Does it climb?
-2. **`Outline → Memory → Heap Usage After GC`** — line chart of old-gen occupancy over time. Where does old gen start saturating?
-3. **`Event Browser → jdk.PromoteObjectOutsidePLAB`** — events fire when an object is promoted to old gen but the PLAB (promotion buffer) didn't have room. High frequency means the application is over-allocating into PLABs, which is the promotion-storm signature.
+2. **`Outline → Memory → Heap Usage After GC`**: line chart of old-gen occupancy over time. Where does old gen start saturating?
+3. **`Event Browser → jdk.PromoteObjectOutsidePLAB`**: events fire when an object is promoted to old gen but the PLAB (promotion buffer) did not have room. High frequency means the application is over-allocating into PLABs, which is the post-earnings directional-flow signature on G1.
 4. **`Outline → General → Garbage Collections → row detail`** for a mixed collection late in the recording. Look at the `Name` column for the `Mixed` qualifier and the per-phase breakdown.
 
-Repeat for the ZGC recording. The same heap behaviour should be present (objects are being promoted), but pause time should not move.
+Repeat for the ZGC recording. The same heap behaviour is present (orders are being promoted), but pause time should not move.
 
 ## Fill this in
 
 ```
-G1 PROMOTION_STORM observations:
+G1 EARNINGS_SPIKE observations:
   Pause time at second 10:       _____ ms
   Pause time at second 50:       _____ ms
   Old gen at second 10:          _____ MB
@@ -42,7 +42,7 @@ G1 PROMOTION_STORM observations:
   PromoteObjectOutsidePLAB count: _____
   First mixed collection at:     second _____
 
-ZGC PROMOTION_STORM observations:
+ZGC EARNINGS_SPIKE observations:
   Max pause across recording:    _____ ms
   Old gen at second 10:          _____ MB
   Old gen at second 50:          _____ MB
@@ -50,9 +50,9 @@ ZGC PROMOTION_STORM observations:
 
 ## Why the difference?
 
-G1's old-gen collection is stop-the-world (the mixed phases). Once old gen fills, G1 must run mixed collections, and their cost scales with the live data they have to evacuate. The promotion storm builds the old gen up faster than concurrent marking can keep up, so mixed collections trigger and produce pauses.
+G1's old-gen collection is stop-the-world (the mixed phases). Once old gen fills, G1 must run mixed collections, and their cost scales with the live data they have to evacuate. The earnings spike builds the old gen up faster than concurrent marking can keep up, so mixed collections trigger and produce pauses.
 
-ZGC's collection runs concurrently with the application. Promotion into old gen does not cause a stop-the-world phase. Heap fills the same way; the application doesn't pause.
+ZGC's collection runs concurrently with the application. Promotion into old gen does not cause a stop-the-world phase. Heap fills the same way; the application does not pause.
 
 ## Discussion prompt
 
@@ -64,4 +64,3 @@ If you doubled the heap size on the G1 side, would the problem go away? If yes,
 Hint
 Doubling the heap delays the problem but does not remove it. G1's pause time on a mixed collection scales with the number of regions being collected; a bigger heap means more regions to evacuate per mixed pause. The problem returns at the new larger heap size, just later in the recording.
 
-
diff --git a/workshop/exercises/module-2-diagnose-promotion-storm/analysis-template.md b/workshop/exercises/module-2-diagnose-earnings-spike/analysis-template.md
similarity index 97%
rename from workshop/exercises/module-2-diagnose-promotion-storm/analysis-template.md
rename to workshop/exercises/module-2-diagnose-earnings-spike/analysis-template.md
index a649002..f9b31ea 100644
--- a/workshop/exercises/module-2-diagnose-promotion-storm/analysis-template.md
+++ b/workshop/exercises/module-2-diagnose-earnings-spike/analysis-template.md
@@ -1,4 +1,4 @@
-# PROMOTION_STORM analysis template
+# EARNINGS_SPIKE analysis template
 
 Fill this in as you work through the recording. Bring it to the Module 2 discussion.
 
diff --git a/workshop/exercises/module-4-collector-comparison/README.md b/workshop/exercises/module-4-collector-comparison/README.md
deleted file mode 100644
index d71c6b0..0000000
--- a/workshop/exercises/module-4-collector-comparison/README.md
+++ /dev/null
@@ -1,58 +0,0 @@
-# Module 4 exercise: document the behavioural differences
-
-## Problem
-
-For each of the four stress scenarios beyond baseline, write a one-sentence summary of how ZGC and G1 differ under identical workloads. Back each claim with an event count or timing value pulled from the recordings.
-
-## Inputs
-
-The pre-recorded files:
-
-```
-workshop/recordings/zgc-growing-heap.jfr      workshop/recordings/g1-growing-heap.jfr
-workshop/recordings/zgc-promotion-storm.jfr   workshop/recordings/g1-promotion-storm.jfr
-workshop/recordings/zgc-fragmentation.jfr     workshop/recordings/g1-fragmentation.jfr
-workshop/recordings/zgc-cross-gen-refs.jfr    workshop/recordings/g1-cross-gen-refs.jfr
-```
-
-## Steps
-
-For each scenario:
-
-1. Run the CLI comparison:
-
-   ```bash
-   ./workshop/scripts/compare-recordings.sh \
-       workshop/recordings/zgc-.jfr \
-       workshop/recordings/g1-.jfr
-   ```
-2. Open both files in JMC side-by-side.
-3. Fill in the [comparison-template.md](./comparison-template.md) for the scenario.
-4. Write your one-sentence summary in the table below.
-
-## Your summaries
-
-|     Scenario      | One-sentence summary |
-|-------------------|----------------------|
-| `GROWING_HEAP`    |                      |
-| `PROMOTION_STORM` |                      |
-| `FRAGMENTATION`   |                      |
-| `CROSS_GEN_REFS`  |                      |
-
-## Reference summaries (read after you have your own)
-
-
    
-Reference summaries from a 4 GB heap recording on a 32-core Linux host
-
-|     Scenario      |                                                                                                  What the recordings show                                                                                                   |
-|-------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| `GROWING_HEAP`    | G1's pause times rise from ~5 ms to ~50 ms as the live set grows from 100 MB to 2 GB, driven by lengthening mixed-collection cycles. ZGC stays under 1 ms throughout.                                                        |
-| `PROMOTION_STORM` | G1 fires several mixed collections in the second half of the recording, each pausing 30-80 ms; `PromoteObjectOutsidePLAB` counts climb. ZGC runs concurrently and produces no visible pause.                      |
-| `FRAGMENTATION`   | G1 shows region-type churn (`jdk.G1HeapRegionTypeChange` events spike) and occasional 20-30 ms pauses for region compaction. ZGC compacts concurrently and shows no pause increase.                                          |
-| `CROSS_GEN_REFS`  | G1's `Update RS` phase dominates pause time (often 60-80% of each pause); the write barrier cost is visible in `ExecutionSample` stacks pointing to `G1BarrierSet`. ZGC has no remembered set and shows no equivalent phase. |
-
-
    
-
-## Discussion prompt
-
-Pick the scenario where the ZGC-vs-G1 gap is *smallest*. Is there a tuning change to G1 that would close most of that gap? What is the cost of that tuning?
diff --git a/workshop/exercises/module-4-stress-testing/README.md b/workshop/exercises/module-4-stress-testing/README.md
new file mode 100644
index 0000000..b7aab80
--- /dev/null
+++ b/workshop/exercises/module-4-stress-testing/README.md
@@ -0,0 +1,58 @@
+# Module 4 exercise: assess production readiness across runtimes
+
+## Problem
+
+For each of the four stress scenarios beyond baseline, write a one-sentence summary of how the two OpenJDK runtimes behave under identical workloads. Back each claim with an event count or timing value pulled from the recordings.
+
+## Inputs
+
+The pre-recorded files:
+
+```
+workshop/recordings/zgc-intraday-position-growth.jfr   workshop/recordings/g1-intraday-position-growth.jfr
+workshop/recordings/zgc-earnings-spike.jfr             workshop/recordings/g1-earnings-spike.jfr
+workshop/recordings/zgc-multi-venue-quote-churn.jfr    workshop/recordings/g1-multi-venue-quote-churn.jfr
+workshop/recordings/zgc-long-horizon-position-book.jfr workshop/recordings/g1-long-horizon-position-book.jfr
+```
+
+## Steps
+
+For each scenario:
+
+1. Run the CLI comparison:
+
+   ```bash
+   ./workshop/scripts/compare-recordings.sh \
+       workshop/recordings/zgc-.jfr \
+       workshop/recordings/g1-.jfr
+   ```
+2. Open both files in JMC side-by-side.
+3. Fill in the [comparison-template.md](./comparison-template.md) for the scenario.
+4. Write your one-sentence summary in the table below.
+
+## Your summaries
+
+|             Scenario             | One-sentence summary |
+|----------------------------------|----------------------|
+| `INTRADAY_POSITION_GROWTH`       |                      |
+| `EARNINGS_SPIKE`                 |                      |
+| `MULTI_VENUE_QUOTE_CHURN`        |                      |
+| `LONG_HORIZON_POSITION_BOOK`     |                      |
+
+## Reference summaries (read after you have your own)
+
+
    
+Reference summaries from a 4 GB heap recording on a 32-core Linux host
+
+|             Scenario             |                                                                                                  What the recordings show                                                                                                   |
+|----------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| `INTRADAY_POSITION_GROWTH`       | G1's pause times rise from ~5 ms to ~50 ms as the position book grows from 100 MB to 2 GB, driven by lengthening mixed-collection cycles. ZGC stays under 1 ms throughout.                                                  |
+| `EARNINGS_SPIKE`                 | G1 fires several mixed collections in the second half of the recording, each pausing 30-80 ms; `PromoteObjectOutsidePLAB` counts climb. ZGC runs concurrently and produces no visible pause.                                |
+| `MULTI_VENUE_QUOTE_CHURN`        | G1 shows region-type churn (`jdk.G1HeapRegionTypeChange` events spike) and occasional 20-30 ms pauses for region compaction. ZGC compacts concurrently and shows no pause increase.                                         |
+| `LONG_HORIZON_POSITION_BOOK`     | G1's `Update RS` phase dominates pause time (often 60-80% of each pause); the write barrier cost is visible in `ExecutionSample` stacks pointing to `G1BarrierSet`. ZGC has no remembered set and shows no equivalent phase.|
+
+
    
+
+## Discussion prompt
+
+Pick the scenario where the gap between the two runtimes is *smallest*. Based on the recordings in front of you, would you ship to production on either runtime for that scenario? What evidence drives the decision?
diff --git a/workshop/exercises/module-4-collector-comparison/comparison-template.md b/workshop/exercises/module-4-stress-testing/comparison-template.md
similarity index 100%
rename from workshop/exercises/module-4-collector-comparison/comparison-template.md
rename to workshop/exercises/module-4-stress-testing/comparison-template.md
diff --git a/workshop/exercises/module-5-apply-to-your-app/gc-pathology-catalog.md b/workshop/exercises/module-5-apply-to-your-app/gc-pathology-catalog.md
index d43ac95..9cc1048 100644
--- a/workshop/exercises/module-5-apply-to-your-app/gc-pathology-catalog.md
+++ b/workshop/exercises/module-5-apply-to-your-app/gc-pathology-catalog.md
@@ -1,6 +1,6 @@
 # GC pathology catalogue
 
-The four patterns Module 2 introduced, restated as a take-home reference. Each entry includes the runtime signature you can see in JFR, the root cause in plain language, and the fix order — cheapest mitigation first.
+The four patterns Module 2 introduced, restated as a take-home reference. Each entry includes the runtime signature you can see in JFR, the root cause in plain language, and the fix order, cheapest mitigation first.
 
 ## 1. Promotion storm
 
@@ -74,7 +74,7 @@ When G1 begins a collection it must copy survivors out of the source region. If
 
 ## How these interact
 
-The four pathologies are not independent. A growing heap (PROMOTION_STORM) eventually fragments, then a fragmented heap with high mutation creates remembered-set pressure, then any of those can culminate in evacuation failure. The triage tree in `workshop/analysis-checklist.md` helps you find the leading symptom; once fixed, the downstream symptoms often resolve on their own.
+The four pathologies are not independent. A growing heap under sustained promotion eventually fragments; a fragmented heap with high mutation creates remembered-set pressure; any of those can culminate in evacuation failure. The triage tree in `workshop/analysis-checklist.md` helps you find the leading symptom; once fixed, the downstream symptoms often resolve on their own.
 
 ## Decision framework: when to reduce allocation vs. when to change collector
 
diff --git a/workshop/recordings/README.md b/workshop/recordings/README.md
index 7fa83fa..67caa9b 100644
--- a/workshop/recordings/README.md
+++ b/workshop/recordings/README.md
@@ -1,21 +1,21 @@
 # Pre-recorded JFR files
 
-Five GC stress scenarios across two collectors, captured against TradeStreamEE running at roughly 100K messages per second.
+Five trading-scenario recordings across two OpenJDK runtimes, captured against TradeStreamEE running at roughly 100K messages per second.
 
 Each recording is approximately 35 seconds wall-clock (5s warmup + 30s active), using the `tradestream-workshop.jfc` profile, with 2 GB heap (`-Xms2g -Xmx2g`). Recorded on Zulu 25 + ZGC and Temurin 25 + G1GC, each as a single Payara Micro instance with Hazelcast enabled.
 
-|           File           | Collector |     Scenario      |                              What to look for                              |
-|--------------------------|-----------|-------------------|----------------------------------------------------------------------------|
-| `zgc-baseline.jfr`      | ZGC       | `STEADY_LOAD`     | Sub-millisecond pauses across the recording. The reference.                |
-| `g1-baseline.jfr`       | G1        | `STEADY_LOAD`     | Periodic young-gen pauses of 5-15 ms even at steady state.                 |
-| `zgc-growing-heap.jfr`  | ZGC       | `GROWING_HEAP`    | Heap grows 100 MB to 2 GB over 30s. ZGC concurrent cycles, no STW impact.  |
-| `g1-growing-heap.jfr`   | G1        | `GROWING_HEAP`    | Mixed collection pauses scaling with live set.                             |
-| `zgc-promotion-storm.jfr` | ZGC    | `PROMOTION_STORM` | 300 MB/s with 50% survival. No visible pause increase.                     |
-| `g1-promotion-storm.jfr` | G1       | `PROMOTION_STORM` | `PromoteObjectOutsidePLAB` events climbing; mixed collections trigger.     |
-| `zgc-fragmentation.jfr` | ZGC       | `FRAGMENTATION`   | Small objects (100-1000 B), random lifetimes. Compaction is concurrent.    |
-| `g1-fragmentation.jfr`  | G1        | `FRAGMENTATION`   | G1 region freelist pressure. Watch `jdk.G1HeapRegionTypeChange`.           |
-| `zgc-cross-gen-refs.jfr` | ZGC      | `CROSS_GEN_REFS`  | No remembered set overhead; load barriers handle references.               |
-| `g1-cross-gen-refs.jfr` | G1       | `CROSS_GEN_REFS`  | `jdk.GCPhasePauseLevel1 -> Update RS` time should be the dominant phase.   |
+|                  File                    | Runtime |          Scenario             |                              What to look for                                  |
+|------------------------------------------|---------|-------------------------------|--------------------------------------------------------------------------------|
+| `zgc-baseline.jfr`                       | ZGC     | `STEADY_LOAD`                 | Sub-millisecond pauses across the recording. The reference.                    |
+| `g1-baseline.jfr`                        | G1      | `STEADY_LOAD`                 | Periodic young-gen pauses of 5-15 ms even at steady state.                     |
+| `zgc-intraday-position-growth.jfr`       | ZGC     | `INTRADAY_POSITION_GROWTH`    | Position book grows 100 MB to 2 GB over 30s. ZGC concurrent cycles, no STW.    |
+| `g1-intraday-position-growth.jfr`        | G1      | `INTRADAY_POSITION_GROWTH`    | Mixed collection pauses scaling with live set.                                 |
+| `zgc-earnings-spike.jfr`                 | ZGC     | `EARNINGS_SPIKE`              | 300 MB/s with 50% order survival. No visible pause increase.                   |
+| `g1-earnings-spike.jfr`                  | G1      | `EARNINGS_SPIKE`              | `PromoteObjectOutsidePLAB` events climbing; mixed collections trigger.         |
+| `zgc-multi-venue-quote-churn.jfr`        | ZGC     | `MULTI_VENUE_QUOTE_CHURN`     | Small objects (100-1000 B), random lifetimes. Compaction is concurrent.        |
+| `g1-multi-venue-quote-churn.jfr`         | G1      | `MULTI_VENUE_QUOTE_CHURN`     | G1 region freelist pressure. Watch `jdk.G1HeapRegionTypeChange`.               |
+| `zgc-long-horizon-position-book.jfr`     | ZGC     | `LONG_HORIZON_POSITION_BOOK`  | No remembered set overhead; load barriers handle references.                   |
+| `g1-long-horizon-position-book.jfr`      | G1      | `LONG_HORIZON_POSITION_BOOK`  | `jdk.GCPhasePauseLevel1 -> Update RS` time should be the dominant phase.       |
 
 ## Regenerating
 
diff --git a/workshop/recordings/g1-promotion-storm.jfr b/workshop/recordings/g1-earnings-spike.jfr
similarity index 100%
rename from workshop/recordings/g1-promotion-storm.jfr
rename to workshop/recordings/g1-earnings-spike.jfr
diff --git a/workshop/recordings/g1-growing-heap.jfr b/workshop/recordings/g1-intraday-position-growth.jfr
similarity index 100%
rename from workshop/recordings/g1-growing-heap.jfr
rename to workshop/recordings/g1-intraday-position-growth.jfr
diff --git a/workshop/recordings/g1-cross-gen-refs.jfr b/workshop/recordings/g1-long-horizon-position-book.jfr
similarity index 100%
rename from workshop/recordings/g1-cross-gen-refs.jfr
rename to workshop/recordings/g1-long-horizon-position-book.jfr
diff --git a/workshop/recordings/g1-fragmentation.jfr b/workshop/recordings/g1-multi-venue-quote-churn.jfr
similarity index 100%
rename from workshop/recordings/g1-fragmentation.jfr
rename to workshop/recordings/g1-multi-venue-quote-churn.jfr
diff --git a/workshop/recordings/zgc-promotion-storm.jfr b/workshop/recordings/zgc-earnings-spike.jfr
similarity index 100%
rename from workshop/recordings/zgc-promotion-storm.jfr
rename to workshop/recordings/zgc-earnings-spike.jfr
diff --git a/workshop/recordings/zgc-growing-heap.jfr b/workshop/recordings/zgc-intraday-position-growth.jfr
similarity index 100%
rename from workshop/recordings/zgc-growing-heap.jfr
rename to workshop/recordings/zgc-intraday-position-growth.jfr
diff --git a/workshop/recordings/zgc-cross-gen-refs.jfr b/workshop/recordings/zgc-long-horizon-position-book.jfr
similarity index 100%
rename from workshop/recordings/zgc-cross-gen-refs.jfr
rename to workshop/recordings/zgc-long-horizon-position-book.jfr
diff --git a/workshop/recordings/zgc-fragmentation.jfr b/workshop/recordings/zgc-multi-venue-quote-churn.jfr
similarity index 100%
rename from workshop/recordings/zgc-fragmentation.jfr
rename to workshop/recordings/zgc-multi-venue-quote-churn.jfr
diff --git a/workshop/scripts/compare-recordings.sh b/workshop/scripts/compare-recordings.sh
index 42c5516..f7e4030 100755
--- a/workshop/scripts/compare-recordings.sh
+++ b/workshop/scripts/compare-recordings.sh
@@ -5,8 +5,8 @@
 #
 # Usage:
 #   ./workshop/scripts/compare-recordings.sh \
-#       workshop/recordings/zgc-promotion-storm.jfr \
-#       workshop/recordings/g1-promotion-storm.jfr
+#       workshop/recordings/zgc-earnings-spike.jfr \
+#       workshop/recordings/g1-earnings-spike.jfr
 
 set -euo pipefail
 
diff --git a/workshop/scripts/quickstart.sh b/workshop/scripts/quickstart.sh
index 0ec590d..438b61f 100755
--- a/workshop/scripts/quickstart.sh
+++ b/workshop/scripts/quickstart.sh
@@ -120,8 +120,8 @@ smoke_full() {
         "$HOST_ZGC$CONTEXT/api/jfr/recording/start?name=$name&durationSeconds=65&settings=tradestream-workshop" \
         >/dev/null
     sleep 5
-    curl -fsS --max-time 10 -X POST "$HOST_ZGC$CONTEXT/api/pressure/mode/PROMOTION_STORM" >/dev/null
-    ok "PROMOTION_STORM running on ZGC; recording for 55s"
+    curl -fsS --max-time 10 -X POST "$HOST_ZGC$CONTEXT/api/pressure/mode/EARNINGS_SPIKE" >/dev/null
+    ok "EARNINGS_SPIKE running on ZGC; recording for 55s"
     sleep 55
     curl -fsS --max-time 10 -X POST "$HOST_ZGC$CONTEXT/api/pressure/mode/OFF" >/dev/null
     sleep 10
@@ -162,9 +162,9 @@ ${DIM}Common commands:${RESET}
   Start a recording on G1 (60 s):
     curl -X POST '${HOST_G1}${CONTEXT}/api/jfr/recording/start?name=demo&durationSeconds=60&settings=tradestream-workshop'
 
-  Run a GC stress scenario on both:
-    curl -X POST '${HOST_ZGC}${CONTEXT}/api/pressure/mode/PROMOTION_STORM'
-    curl -X POST '${HOST_G1}${CONTEXT}/api/pressure/mode/PROMOTION_STORM'
+  Run a stress scenario on both runtimes:
+    curl -X POST '${HOST_ZGC}${CONTEXT}/api/pressure/mode/EARNINGS_SPIKE'
+    curl -X POST '${HOST_G1}${CONTEXT}/api/pressure/mode/EARNINGS_SPIKE'
     sleep 60
     curl -X POST '${HOST_ZGC}${CONTEXT}/api/pressure/mode/OFF'
     curl -X POST '${HOST_G1}${CONTEXT}/api/pressure/mode/OFF'
diff --git a/workshop/scripts/record-scenarios.sh b/workshop/scripts/record-scenarios.sh
index 97c5b2f..1afb84f 100755
--- a/workshop/scripts/record-scenarios.sh
+++ b/workshop/scripts/record-scenarios.sh
@@ -45,10 +45,10 @@ G1_RECORDINGS_DIR="$ROOT_DIR/monitoring/recordings/workshop-g1"
 
 SCENARIOS=(
     "STEADY_LOAD:baseline"
-    "GROWING_HEAP:growing-heap"
-    "PROMOTION_STORM:promotion-storm"
-    "FRAGMENTATION:fragmentation"
-    "CROSS_GEN_REFS:cross-gen-refs"
+    "INTRADAY_POSITION_GROWTH:intraday-position-growth"
+    "EARNINGS_SPIKE:earnings-spike"
+    "MULTI_VENUE_QUOTE_CHURN:multi-venue-quote-churn"
+    "LONG_HORIZON_POSITION_BOOK:long-horizon-position-book"
 )
 
 log()  { printf '\033[1;34m[%s]\033[0m %s\n' "$(date +%H:%M:%S)" "$*"; }
diff --git a/workshop/slides/slides.md b/workshop/slides/slides.md
index f842ffa..f4813f8 100644
--- a/workshop/slides/slides.md
+++ b/workshop/slides/slides.md
@@ -4,7 +4,7 @@ theme: default
 paginate: true
 backgroundColor: "#0c0e14"
 color: "#e6e6e6"
-header: "Java Flight Recorder for Low-Latency Systems"
+header: "Low-Latency Trading with Jakarta EE and Payara Micro"
 footer: "JNation Workshop · TradeStreamEE"
 style: |
   section {
@@ -41,9 +41,9 @@ style: |
 
 
 
-# Java Flight Recorder for Low-Latency Systems
+# Low-Latency Trading with Jakarta EE
 
-## A Hands-On Workshop
+## Build, observe, and stress-test a real trading system on Payara Micro
 
 JNation · 3 hours 30 minutes
 
@@ -53,22 +53,22 @@ JNation · 3 hours 30 minutes
 
 ## Today's question
 
-> Your application is fast. Until it isn't.
-> A GC pause of 180 ms in the middle of a latency-sensitive operation.
-> You did not change the code. The heap did not grow.
-> **What happened?**
+> Your trading system meets its latency SLA in staging.
+> Production peak hits. P99 climbs from 8 ms to 110 ms.
+> Support has no recording. Nobody changed the code.
+> **What happened, and how do you prove it?**
 
-This workshop builds the answer from JFR data, not from intuition.
+This workshop builds the answer from JFR data on a real Jakarta EE application.
 
 ---
 
 ## What you leave with
 
-- The TradeStreamEE source and Docker setup
-- Ten pre-recorded `.jfr` files across five scenarios and two collectors
+- The TradeStreamEE source and Docker setup (a real Jakarta EE 11 trading app on Payara Micro 7)
+- Ten pre-recorded `.jfr` files across five scenarios on two OpenJDK runtimes
 - A printable JFR analysis checklist
 - Three reusable JFR event templates
-- A mental model you can carry to any Java application
+- A diagnostic mental model that transfers to any Java application on any runtime
 
 ---
 
@@ -79,7 +79,7 @@ This workshop builds the answer from JFR data, not from intuition.
 | 1 | Setup and warm-up             | 30 min |
 | 2 | Reading JFR recordings        | 60 min |
 | 3 | Custom JFR events             | 45 min |
-| 4 | Collector comparison          | 45 min |
+| 4 | Stress testing & production readiness | 45 min |
 | 5 | Applying to your applications | 30 min |
 
 ---
@@ -103,19 +103,23 @@ Throughput target: 100K messages per second.
 
 ---
 
-## Two instances, one variable
+## One application, two OpenJDK runtimes
 
 ```
-:8080  ┌─ ZGC instance ─┐         :9080  ┌─ G1 instance ──┐
-       │ Zulu 25         │                │ Temurin 25      │
-       │ -XX:+UseZGC     │                │ (default G1)    │
+:8080  ┌─ Runtime A ─────┐         :9080  ┌─ Runtime B ─────┐
+       │ Zulu 25 + ZGC   │                │ Temurin 25 + G1 │
+       │ Payara Micro 7  │                │ Payara Micro 7  │
        └─────────────────┘                └─────────────────┘
 
-       Identical heap (-Xms2g -Xmx2g, AlwaysPreTouch, THP)
-       Identical workload
-       Only the collector differs.
+       Identical Jakarta EE 11 application on both sides.
+       Identical heap (-Xms2g -Xmx2g, AlwaysPreTouch, THP).
+       Identical workload.
+       The OpenJDK runtime is the only deliberate variable.
 ```
 
+The application is the constant; the runtime is the variable.
+This workshop will not declare a winner: the recordings will say what they say, and you will read them.
+
 ---
 
 
@@ -196,12 +200,14 @@ Hint: in JMC, sort the Duration column descending. The first row is your answer.
 
 ## Module 1 checkpoint
 
-Compare across the room.
+Compare across the room. What does your baseline recording show on each port?
+
+- Port 8080 (Zulu 25 + ZGC): which collection events fire, and at what pause duration?
+- Port 9080 (Temurin 25 + G1): which collection events fire, and at what pause duration?
 
-- ZGC baseline: pauses under 1 ms (concurrent collection)
-- G1 baseline: occasional young-gen pauses around 5-15 ms
+Same heap, same workload, same Payara Micro application. **What is each runtime doing differently to produce its characteristic pause profile?**
 
-The interesting question: **why is there any difference at idle?**
+Hold the question. We will answer it in Module 2 by reading the JFR events.
 
 ---
 
@@ -250,7 +256,7 @@ Sample size matters. P99 from 10 collections is meaningless.
 | `Full GC`                   | Whole-heap stop-the-world    | "You have a problem" |
 | `Concurrent Cycle`          | Marking with the application | Not a pause          |
 
-ZGC collapses these: both young and old gen are collected concurrently with no stop-the-world phases.
+ZGC reports its collections under different names (`ZGen Young`, `ZGen Old`, plus brief `Pause Mark Start` / `Pause Relocate Start` events). Both generations are collected predominantly concurrently; the STW events you see in JFR are short coordination phases, not collection work.
 
 ---
 
@@ -303,19 +309,22 @@ Fix: immutable holders, copy-on-write, or a concurrent collector without remembe
 
 ## Exercise 2.5
 
-**Diagnose PROMOTION_STORM.**
+**Diagnose EARNINGS_SPIKE.**
 
 ```bash
 # Pre-recorded:
-jmc -open workshop/recordings/g1-promotion-storm.jfr
-jmc -open workshop/recordings/zgc-promotion-storm.jfr
+jmc -open workshop/recordings/g1-earnings-spike.jfr
+jmc -open workshop/recordings/zgc-earnings-spike.jfr
 ```
 
-For G1: when does the first mixed collection trigger? What was old gen at that moment?
+For each recording, report what you see:
 
-For ZGC: same workload. Why no pause increase?
+- G1: when does the first mixed collection trigger? What is old gen at that moment? How does pause time change across the recording?
+- ZGC: same workload, what events fire and at what pause duration? Does pause time change across the recording?
 
-> Template: `workshop/exercises/module-2-diagnose-promotion-storm/analysis-template.md`
+Bring your findings to the room. The recordings will say what they say; we will read them together.
+
+> Template: `workshop/exercises/module-2-diagnose-earnings-spike/analysis-template.md`
 
 ---
 
@@ -400,7 +409,7 @@ workshop/exercises/module-3-burst-event/BurstPatternEvent.starter.java
 # Install into source tree:
 ./workshop/scripts/install-exercise.sh module-3-burst-event
 
-# Rebuild and roll the ZGC instance:
+# Rebuild and roll one instance (Zulu shown; the same step works for Temurin):
 docker compose -f docker-compose-workshop.yml build trader-stream-workshop-zgc
 docker compose -f docker-compose-workshop.yml up -d --no-deps trader-stream-workshop-zgc
 ```
@@ -421,7 +430,7 @@ Pick one. Note the fields you would want on the event. We will come back to this
 
 # Module 4
 
-## Collector comparison
+## Stress testing & production readiness
 
 45 minutes
 
@@ -429,14 +438,14 @@ Pick one. Note the fields you would want on the event. We will come back to this
 
 ## The other four scenarios
 
-|     Scenario      |            Stresses            |
-|-------------------|--------------------------------|
-| `GROWING_HEAP`    | Mixed collection scaling       |
-| `PROMOTION_STORM` | Old-gen collection efficiency  |
-| `FRAGMENTATION`   | Compaction overhead            |
-| `CROSS_GEN_REFS`  | Remembered-set / write barrier |
+|             Scenario             |            Stresses            |
+|----------------------------------|--------------------------------|
+| `INTRADAY_POSITION_GROWTH`       | Mixed collection scaling       |
+| `EARNINGS_SPIKE`                 | Old-gen collection efficiency  |
+| `MULTI_VENUE_QUOTE_CHURN`        | Compaction overhead            |
+| `LONG_HORIZON_POSITION_BOOK`     | Remembered-set / write barrier |
 
-Same code. Same heap. Different collector. Different outcome.
+The application and heap are identical across both ports; the OpenJDK runtime is the only variable, and the outcome you will read from JFR follows from that.
 
 ---
 
@@ -444,13 +453,13 @@ Same code. Same heap. Different collector. Different outcome.
 
 ```bash
 # Visual:
-jmc -open workshop/recordings/zgc-fragmentation.jfr \
-    -open workshop/recordings/g1-fragmentation.jfr
+jmc -open workshop/recordings/zgc-multi-venue-quote-churn.jfr \
+    -open workshop/recordings/g1-multi-venue-quote-churn.jfr
 
 # CLI:
 ./workshop/scripts/compare-recordings.sh \
-    workshop/recordings/zgc-fragmentation.jfr \
-    workshop/recordings/g1-fragmentation.jfr
+    workshop/recordings/zgc-multi-venue-quote-churn.jfr \
+    workshop/recordings/g1-multi-venue-quote-churn.jfr
 ```
 
 ---
@@ -459,39 +468,23 @@ jmc -open workshop/recordings/zgc-fragmentation.jfr \
 
 **For each scenario, write a one-sentence behavioural difference.**
 
-|     Scenario      | Difference |
-|-------------------|------------|
-| `GROWING_HEAP`    | ...        |
-| `PROMOTION_STORM` | ...        |
-| `FRAGMENTATION`   | ...        |
-| `CROSS_GEN_REFS`  | ...        |
+|             Scenario             | Difference |
+|----------------------------------|------------|
+| `INTRADAY_POSITION_GROWTH`       | ...        |
+| `EARNINGS_SPIKE`                 | ...        |
+| `MULTI_VENUE_QUOTE_CHURN`        | ...        |
+| `LONG_HORIZON_POSITION_BOOK`     | ...        |
 
-> Template: `workshop/exercises/module-4-collector-comparison/comparison-template.md`
+> Template: `workshop/exercises/module-4-stress-testing/comparison-template.md`
 
 ---
 
 ## Module 4 checkpoint
 
-The recordings show ZGC eliminating stop-the-world pauses that G1 incurs. Two questions:
-
-1. For a 200 ms P99.9 budget, is ZGC's concurrent overhead justified? On what does the answer depend?
-2. ZGC uses load barriers on every object access. What does that cost at very high throughput?
-
----
-
-## Beyond ZGC
-
-ZGC solves most latency problems in most applications. But it has limits:
+Your trading system needs sub-10 ms P99 latency under adversarial load. Two questions:
 
-|                    | ZGC (OpenJDK)              | C4 (Azul Prime)                   |
-|--------------------|-----------------------------|-----------------------------------|
-| Barriers           | Load barrier on every read | No read barrier                   |
-| Generational       | Since JDK 21 (new)         | Always generational               |
-| Throughput cost    | 2-5% at moderate heaps     | Lower overhead at large heaps     |
-| Heap scale         | Good to ~8 TB              | Tested to 8 TB, production-hardened |
-| Compaction         | Concurrent                 | Concurrent, cooperative with app  |
-
-The diagnostic skills from this workshop apply to both. JFR cannot tell the difference between ZGC and C4 pauses because there are no stop-the-world pauses to measure in either case. The difference shows up in throughput under sustained load.
+1. Based on the recordings in front of you, which runtime configuration would you ship to production? Cite the events that drove the choice.
+2. At what allocation rate or live-set size does each runtime start to fall behind the application's needs? Where is that line for *your* production workload?
 
 ---
 
@@ -514,7 +507,7 @@ The diagnostic skills from this workshop apply to both. JFR cannot tell the diff
 | Cross-gen refs     | Mutable singletons holding recent request objects        |
 | Evacuation failure | Heap sized too tight; allocation bursts                  |
 
-The signatures are the same. Only the application changes.
+The signatures are the same across applications; only the surrounding code changes.
 
 ---
 
@@ -578,23 +571,38 @@ We will walk through real attendee data for the last 10 minutes.
 
 ## Takeaways
 
-1. JFR is the diagnostic of record for JVM pause behaviour.
-2. The four pathologies have characteristic signatures.
-3. `event.isEnabled()` and `@StackTrace(false)` are the workshop's two-line summary for production-grade custom events.
-4. Reduce allocation before changing collector.
-5. Recording duration drives statistical confidence; pick yours deliberately.
+1. JFR is the diagnostic of record for production Jakarta EE applications. Ship every container with always-on JFR.
+2. The four GC pathologies have signatures you can recognise in any application on any JVM runtime.
+3. `event.isEnabled()` and `@StackTrace(false)` are the two rules for production-grade custom JFR events.
+4. Stress-test before shipping. JFR tells you what happened; pre-production stress tells you whether it will happen in prod.
+5. The runtime is a production decision with measurable consequences. The recording, not the brand, decides.
+
+---
+
+## The Azul stack
+
+You ran community Payara Micro 7 on Azul Zulu OpenJDK in the lab today. The commercial Azul stack consolidates the JDK, the Jakarta EE runtime, and the high-performance JVM under one vendor:
+
+|                          | What it adds beyond what you ran today                                                                                                                            |
+|--------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| **Azul Payara Micro 7**  | Same Jakarta EE 11 runtime, plus monthly security patches, CVE Numbering Authority disclosures, multi-phase lifecycle (Full / Extended / Lifetime), 24-48h bug-fix SLA, and Azul Zulu OpenJDK bundled in the subscription. |
+| **Azul Platform Prime**  | The JVM above the OpenJDK pause-time envelope: C4 collector, ReadyNow warmup, Falcon JIT, production support for workloads where ZGC's allocation envelope is the constraint.                                              |
+
+The JFR analysis skills you used today apply unchanged, and the same Payara application runs without modification on either runtime. Only the runtime ceiling changes.
+
+Talk to us if your production workload has outgrown the recordings you read today.
 
 ---
 
 ## Further reading
 
-- *Java Performance: The Definitive Guide* (Scott Oaks), ch. 5
-- JEP 328: Flight Recorder
+- Payara Micro 7 documentation: 
+- Jakarta EE 11 specification: 
+- JDK Flight Recorder (JEP 328): 
 - ZGC documentation: 
-- Generational ZGC (JEP 439): 
 - G1 ergonomics: 
 - JMC user guide: 
-- Azul Platform Prime (C4): 
+- Azul Platform Prime documentation: 
 
 Workshop materials: `workshop/` in this repo.
 
diff --git a/workshop/speaker-prep.md b/workshop/speaker-prep.md
index 8f34d3d..d6dda15 100644
--- a/workshop/speaker-prep.md
+++ b/workshop/speaker-prep.md
@@ -42,7 +42,7 @@ Run through this list at least 48 hours before the workshop. Most items are one-
   ```
 - [ ] Print one copy each per attendee:
   - `workshop/analysis-checklist.md` (2-page reference)
-  - `workshop/exercises/module-4-collector-comparison/comparison-template.md` (worksheet)
+  - `workshop/exercises/module-4-stress-testing/comparison-template.md` (worksheet)
 - [ ] Render the slides to PDF as a backup for the projector:
 
   ```bash
@@ -71,7 +71,7 @@ Run through this list at least 48 hours before the workshop. Most items are one-
 
 ## During the workshop
 
-- [ ] When demonstrating a recording, name it after the module so attendees can follow along (`?name=module-2-promotion-storm`).
+- [ ] When demonstrating a recording, name it after the module so attendees can follow along (`?name=module-2-earnings-spike`).
 - [ ] If a scenario hangs, follow the diagnostic checklist in `workshop/operational-notes.md` rather than ad-hoc debugging in front of the room.
 - [ ] After each module, recap the two or three findings on the projector so attendees can take notes.
 
diff --git a/workshop/workshop.http b/workshop/workshop.http
index 5bf8dd4..6414e77 100644
--- a/workshop/workshop.http
+++ b/workshop/workshop.http
@@ -109,36 +109,36 @@ Accept: application/json
 POST {{base_g1}}/pressure/mode/STEADY_LOAD
 Accept: application/json
 
-### ZGC - GROWING_HEAP (150 MB/s, grows to 2 GB)
-POST {{base_zgc}}/pressure/mode/GROWING_HEAP
+### ZGC - INTRADAY_POSITION_GROWTH (150 MB/s, position book grows to 2 GB)
+POST {{base_zgc}}/pressure/mode/INTRADAY_POSITION_GROWTH
 Accept: application/json
 
-### G1 - GROWING_HEAP
-POST {{base_g1}}/pressure/mode/GROWING_HEAP
+### G1 - INTRADAY_POSITION_GROWTH
+POST {{base_g1}}/pressure/mode/INTRADAY_POSITION_GROWTH
 Accept: application/json
 
-### ZGC - PROMOTION_STORM (300 MB/s, 50% survival)
-POST {{base_zgc}}/pressure/mode/PROMOTION_STORM
+### ZGC - EARNINGS_SPIKE (300 MB/s, post-earnings directional flow)
+POST {{base_zgc}}/pressure/mode/EARNINGS_SPIKE
 Accept: application/json
 
-### G1 - PROMOTION_STORM
-POST {{base_g1}}/pressure/mode/PROMOTION_STORM
+### G1 - EARNINGS_SPIKE
+POST {{base_g1}}/pressure/mode/EARNINGS_SPIKE
 Accept: application/json
 
-### ZGC - FRAGMENTATION (200 MB/s, fragmented)
-POST {{base_zgc}}/pressure/mode/FRAGMENTATION
+### ZGC - MULTI_VENUE_QUOTE_CHURN (200 MB/s, multi-venue quote churn)
+POST {{base_zgc}}/pressure/mode/MULTI_VENUE_QUOTE_CHURN
 Accept: application/json
 
-### G1 - FRAGMENTATION
-POST {{base_g1}}/pressure/mode/FRAGMENTATION
+### G1 - MULTI_VENUE_QUOTE_CHURN
+POST {{base_g1}}/pressure/mode/MULTI_VENUE_QUOTE_CHURN
 Accept: application/json
 
-### ZGC - CROSS_GEN_REFS (150 MB/s, old-gen refs)
-POST {{base_zgc}}/pressure/mode/CROSS_GEN_REFS
+### ZGC - LONG_HORIZON_POSITION_BOOK (150 MB/s, long-held positions refer to fresh executions)
+POST {{base_zgc}}/pressure/mode/LONG_HORIZON_POSITION_BOOK
 Accept: application/json
 
-### G1 - CROSS_GEN_REFS
-POST {{base_g1}}/pressure/mode/CROSS_GEN_REFS
+### G1 - LONG_HORIZON_POSITION_BOOK
+POST {{base_g1}}/pressure/mode/LONG_HORIZON_POSITION_BOOK
 Accept: application/json
 
 ### Both - Stop all pressure (restore idle)

From f49cf7f18cd2503f8a44d27211215b469df03000 Mon Sep 17 00:00:00 2001
From: Luqman Saeed 
Date: Tue, 26 May 2026 13:30:38 +0100
Subject: [PATCH 28/33] Refactor workshop handbook

---
 src/main/webapp/workshop.html                 | 192 +++++-
 workshop/WORKSHOP.md                          |   3 +-
 .../expected-output.txt                       |  12 +-
 workshop/slides/slides.md                     | 615 ------------------
 4 files changed, 177 insertions(+), 645 deletions(-)
 delete mode 100644 workshop/slides/slides.md

diff --git a/src/main/webapp/workshop.html b/src/main/webapp/workshop.html
index 9c439ea..fa45a6e 100644
--- a/src/main/webapp/workshop.html
+++ b/src/main/webapp/workshop.html
@@ -987,13 +987,13 @@ 
    JFR Workshop
    
 
     
    
         
    Low-Latency Trading with Jakarta EE and Payara Micro
    
-        
    Build, observe, and stress-test a real trading system with JFR · JNation hands-on workshop
    
+        
    Learn to read JFR recordings on any Java runtime · hands-on workshop with a real trading system
    
 
         
    
             3h 30m
             5 Modules
             Hands-on Exercises
-            Two OpenJDK runtimes, one Jakarta EE app
+            Learn JFR diagnosis on two OpenJDK runtimes
         
    
 
         
    
@@ -1011,7 +1011,7 @@ 
    What You Will Learn
    
             
    What You Leave With
    
             
      
                 
    • The TradeStreamEE source and Docker setup — a real Jakarta EE 11 trading app on Payara Micro 7.
      • 
-                
    • Ten pre-recorded .jfr files across five scenarios on two OpenJDK runtimes.
      • 
+                
    • Ten pre-recorded .jfr files across five scenarios on two OpenJDK runtimes. The same diagnostic skills apply to any runtime, including Azul Platform Prime.
      • 
                 
    • A printable JFR analysis checklist.
      • 
                 
    • Three reusable JFR event templates for your own applications.
      • 
                 
    • A diagnostic mental model that transfers to any Java application on any runtime.
      • 
@@ -1038,7 +1038,30 @@ 
      Architecture You Will Be Running
      
             
      WebSocketclients
      
         
    
 
-        
    The default workshop setup (docker-compose-workshop.yml) runs two single-instance Payara Micro containers, one per collector, each with 2 GB heap. The only deliberate difference is the garbage collector.
    
+        
    The pipeline above is a Jakarta EE 11 application running on Payara Micro 7. Every component is a CDI bean. Here is why each piece was chosen:
    
+
+        
    
+            
+                
+                
+                    
+                    
+                    
+                    
+                    
+                    
+                    
+                    
+                    
+                    
+                    
+                
+            
    ComponentTechnologyWhy
    Application serverPayara Micro 7Single JAR, no installation, sub-second startup. Hazelcast clustering built in. Ideal for containerised low-latency services.
    ConcurrencyJakarta Concurrency 3.0 @ManagedExecutorDefinition(virtual=true)Standard API for virtual thread executors. No framework lock-in. The container manages the executor lifecycle; your code just injects it.
    WiringCDI (@ApplicationScoped, @Inject)27 application-scoped beans, all wired by CDI. Lifecycle via @PostConstruct, @PreDestroy, and @Observes @Initialized. No Spring, no manual singletons.
    API layerJAX-RS (@Path, @GET, @POST)16 REST resources under /api/*. JFR recording control, health checks, GC stats, pressure scenarios, order management all exposed as standard REST endpoints.
    Client fan-outJakarta WebSocket (@ServerEndpoint)4 server-push endpoints: market data, executions, indicators, SLA violations. No client-to-server messages. Broadcaster beans hold Set<Session> and push on every event.
    Cluster broadcastHazelcast ITopicIn a multi-instance cluster, each Payara Micro node broadcasts to its local WebSocket sessions. Hazelcast ITopic propagates events across instances so every client sees the same data regardless of which node it connected to.
    SerializationSBE (Simple Binary Encoding)Flyweight encoders and decoders that write directly to off-heap UnsafeBuffer. Zero allocation on the encode path. No GC pressure from serialisation.
    TransportAeron IPC (shared memory)Zero-copy message passing between publisher and subscriber on the same host. No network hop, no serialisation, no GC. The subscriber polls via a dedicated thread; the publisher writes via virtual thread.
    Domain modelJava 21 records, sealed interfacesDTOs, order models, risk snapshots, and stress scenarios are all records. StressScenario is a sealed interface with five record implementations. Immutable data, no boilerplate.
    ConfigurationMicroProfile Config (@ConfigProperty)All tuning parameters (heap thresholds, GC pause SLAs, Aeron channel, Hazelcast group name) are externalised. No hardcoded values.
    JFR controlJFR programmatic API over JAX-RSJfrRecordingResource wraps jdk.jfr.FlightRecorder behind REST endpoints. Start, stop, list, and download recordings via curl. No jcmd, no docker exec.
    
+        
    
+
+        
    
+            
    The key Jakarta EE insight: The hot path (SBE encode, Aeron publish, fragment decode, matching engine) runs inside CDI-managed beans using virtual threads. The container provides the executor, the lifecycle, and the clustering. The application code focuses on the domain logic, not the infrastructure. When you open a JFR recording and see a GC pause, you are seeing a pause that interrupted a CDI bean method executing on a container-managed virtual thread. The Jakarta EE programming model is the constant; the JVM runtime is the variable.
    
+        
    
 
         
    
             
    
@@ -1090,8 +1113,99 @@ 
    Pre-workshop Setup
    
         
    
             
    01
    
             
    Setup and Warm-up
    
-            
    Get every attendee from clone to "I can open a real JFR recording in JMC" within 30 minutes.
    
-            30 min
+            
    Walk through the Jakarta EE architecture, verify the instances, and open your first JFR recording in JMC.
    
+            45 min
+        
    
+
+        
    
+            
    1.0 Architecture Walkthrough
    
+            
    Before we touch JFR, let's walk through the source. Understanding the architecture is necessary context for the recordings you will read. Every component you see in the pipeline is a CDI bean in this project.
    
+
+            
    Virtual thread executor
    
+            
    The entire application uses a single Jakarta Concurrency 3.0 definition to create virtual threads:
    
+
+            
    
+                
    
+                    java
+                    
+                
    
+                
    @ApplicationScoped
+@ManagedExecutorDefinition(
+    name = "java:module/concurrent/VirtualThreadExecutor",
+    virtual = true,
+    qualifiers = {VirtualThreadExecutor.class}
+)
+public class ConcurrencyConfig {}
    
+            
    
+
+            
    Any bean that needs concurrent work injects @VirtualThreadExecutor ManagedExecutorService. The container creates the virtual thread factory; the application never touches Thread.newVirtualThreadPerTaskExecutor() directly. Five beans consume this executor: the Aeron subscriber, the market data publisher, the bar aggregator, the memory pressure service, and every workload implementation.
    
+
+            
    CDI lifecycle: startup and shutdown
    
+            
    The Aeron publisher and subscriber start when the CDI container initialises. They observe the @Initialized(ApplicationScoped.class) event:
    
+
+            
    
+                
    
+                    java
+                    
+                
    
+                
    @ApplicationScoped
+public class AeronSubscriberBean {
+
+    void onStartup(@Observes @Initialized(ApplicationScoped.class) Object event) {
+        mediaDriver = MediaDriver.launchEmbedded(new MediaDriver.Context()
+            .threadingMode(ThreadingMode.SHARED)
+            .sharedIdleStrategy(new BackoffIdleStrategy()));
+        aeron = Aeron.connect(new Aeron.Context()
+            .aeronDirectoryName(mediaDriver.aeronDirectoryName()));
+        subscription = aeron.addSubscription(CHANNEL, STREAM_ID);
+        executor.submit(this::pollLoop);
+    }
+
+    @PreDestroy
+    void shutdown() { /* close Aeron, media driver */ }
+}
    
+            
    
+
+            
    This is the standard Jakarta EE pattern: observe a lifecycle event, start the resource, clean up on @PreDestroy. The Aeron media driver, the subscription, and the polling thread all live inside the container lifecycle.
    
+
+            
    WebSocket fan-out with Hazelcast
    
+            
    Four @ServerEndpoint classes push data to browser clients. The MarketDataBroadcaster is the bridge between the Aeron pipeline and the WebSocket sessions:
    
+
+            
    
+                
    
+                    java
+                    
+                
    
+                
    @ApplicationScoped
+public class MarketDataBroadcaster {
+
+    @Inject HazelcastInstance hazelcast;
+
+    private final Set<Session> sessions = ConcurrentHashMap.newKeySet();
+    private ITopic<String> clusterTopic;
+
+    @PostConstruct
+    void init() {
+        clusterTopic = hazelcast.getTopic("market-data-broadcast");
+        clusterTopic.addMessageListener(msg ->
+            broadcastToLocalSessions(msg.getMessageObject()));
+    }
+
+    void broadcast(String json) {
+        clusterTopic.publish(json);
+    }
+
+    void broadcastToLocalSessions(String json) {
+        sessions.forEach(session -> session.getAsyncRemote()
+            .sendText(json));
+    }
+}
    
+            
    
+
+            
    Each Payara Micro instance publishes to the Hazelcast ITopic. Every instance subscribes to the same topic and pushes to its own local WebSocket sessions. Clients connected to any node see the same data. This is how Jakarta EE clustering works with Payara Micro: the application code does not know about the cluster; the broadcaster just publishes to a topic.
    
+
+            
    JFR recording over REST
    
+            
    The JfrRecordingResource wraps the jdk.jfr programmatic API behind JAX-RS endpoints. You start a recording with POST /api/jfr/recording/start, list files with GET /api/jfr/files, and download .jfr files with GET /api/jfr/download/{name}. No jcmd, no SSH into the container, no docker exec. This pattern works in any Jakarta EE application on any JVM.
    
         
    
 
         
    
@@ -1219,7 +1333,7 @@ 
    2.2 Pause Time Distributions
    
 
         
    
             
    2.3 Young versus Mixed versus Full
    
-            
    The Collector Name column tells you which GC algorithm ran. This workshop uses two of the four main collectors available in OpenJDK:
    
+            
    The Collector Name column tells you which GC algorithm ran. This workshop compares ZGC against G1. The broader landscape includes four main collectors:
    
 
             
    
                 
@@ -1408,7 +1522,33 @@ 
    3.1 The Shape of a Custom Event
    
-            
    3.2 Where to Emit From
    
+            
    3.2 Why Jakarta EE Apps Need Custom Events
    
+            
    In a Jakarta EE application, the container manages thread pools, connection pools, bean lifecycles, and the request/response cycle. Standard JFR events tell you what the JVM did: a GC pause here, a JIT compilation there. They do not tell you which business operation was running when the pause hit.
    
+
+            
    Consider this application. The MarketDataPublisher is an @ApplicationScoped bean running on a container-managed virtual thread. When a GC pause occurs, the JFR recording shows the pause. But without the trade.published event, you cannot tell whether the pause delayed 10 trades or 10,000. The domain event bridges the gap between runtime behaviour and business impact.
    
+
+            
    The same principle applies to any Jakarta EE application:
    
+
+            
    
+                
    
         
 
         
    
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                
    Jakarta EE BoundaryWhat a Domain Event Would Show
    JAX-RS @POST handlerRequest latency including any GC pauses that occurred during deserialisation, validation, or persistence.
    CDI @Observes async eventWhether the observer was delayed by a GC pause between the event fire and the observer invocation.
    WebSocket @OnOpen / session broadcastHow many WebSocket messages were queued during a pause. Whether backpressure activated.
    @ManagedExecutorDefinition taskWhether the virtual thread was unmounted during a GC pause, or pinned to its carrier.
    @PostConstruct initialisationHow long startup took and where the time went. Relevant for cold-start latency in serverless-like deployments.
    
+            
    
+
+            
    
+                
    Rule of thumb: If a code path matters to your SLA, it needs a custom JFR event. GC events tell you the JVM paused. Domain events tell you what the pause cost in business terms.
    
+            
    
+        
    
+
+        
    
+            
    3.3 Where to Emit From
    
             
      
                 
    1. One event per logical operation, not per method call. Don't decorate every function; pick the boundary where the operation succeeded or failed.
      2. 
                 
    2. Numeric fields are cheap; String fields are not. Strings get interned in the JFR string pool, but the interning lookup is hot-path overhead. Use enums-as-ints where possible.
      3. 
@@ -1417,7 +1557,7 @@ 
      3.2 Where to Emit From
      
         
    
 
         
    
-            
    3.3 Correlating with GC Events
    
+            
    3.4 Correlating with GC Events
    
             
    In JMC, the Event Browser lets you overlay timelines. To see whether GC pauses cause SBE encoding stalls:
    
             
      
                 
    1. Find sbe.encode under Custom events.
      2. 
@@ -1460,7 +1600,7 @@ 
      Track Burst Patterns
      
         
      
             
      04
      
             
      Stress Testing & Production Readiness
      
-            
      Stress-test the same Jakarta EE application on two OpenJDK runtimes. Read the recordings and decide whether the application is ready to ship. The workshop will not declare a winner; the recordings will say what they say, and you will read them.
      
+            
      Stress-test the same Jakarta EE application on two OpenJDK runtimes and read the recordings. The skill you are building is runtime-agnostic: the same JFR triage works on G1, ZGC, Shenandoah, C4, or any collector you encounter in production.
      
             45 min
         
      
 
@@ -1562,21 +1702,25 @@ 
      Applying to Your Applications
      
         
    
 
         
    
-            
    5.1 Pattern Matching
    
-            
    The four pathologies are not specific to trading systems. The closest analogues in common workloads:
    
+            
    5.1 Pattern Matching in Jakarta EE Applications
    
+            
    The four pathologies are not specific to trading systems. In a Jakarta EE application, the same pathologies show up in predictable places. The CDI bean model, the container-managed lifecycle, and the standard API patterns create characteristic allocation profiles that map directly to the four signatures you learned in Module 2.
    
 
             
    
                 
-                    
+                    
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
    PathologyWhere It Shows Up Outside HFT
    PathologyJakarta EE Pattern That Causes ItJFR Signature
    
                     
    Promotion StormCaches with TTL > young-gen GC interval; pooled connection objects.
    FragmentationLong-lived applications with many distinct object sizes (logging frameworks).
    Cross-gen RefsMutable singletons that hold references to recent request objects.
    Evacuation FailureHeap sized too tight for the survivor space; allocation bursts.
    Promotion StormAn @ApplicationScoped bean with a growing cache (e.g., ConcurrentHashMap accumulating session data, or a Map<String, Price> that never evicts). Objects survive young-gen collections because the cache holds them, and old gen fills monotonically.jdk.PromoteObjectOutsidePLAB count climbing. Old gen growing. Mixed collections lengthen.
    FragmentationCDI proxy objects, interceptor chains, and @JsonbTransient annotated DTOs create many small objects of different sizes per request. Long-running Payara Micro instances accumulate distinct object-size distributions over time.jdk.ObjectAllocationSample dominated by small objects. Object Copy phase dominates pause time.
    Cross-gen RefsAn @ApplicationScoped broadcaster bean holding Set<Session> references. The bean is old gen; the sessions (and their buffers) are young gen. Every young-gen collection must scan the session set. The same pattern appears with any singleton that holds request-scoped objects.Update RS or Scan RS dominates pause time. ExecutionSample stacks in G1BarrierSet.
    Evacuation FailureConnection pool or thread pool sized too large for the heap. Or ManagedExecutorService task queues filling faster than they drain during a burst. The heap has nowhere to evacuate live objects to.jdk.EvacuationFailed events. jdk.PromotionFailed events. Full GC triggers.
    
                         
                 
    
             
    
 
+            
    
+                
    Why this matters for Jakarta EE developers: The container abstracts away thread management, pooling, and lifecycle. That abstraction is valuable, but it also means you cannot see what the container is doing to the heap. JFR is the tool that makes the container's allocation behaviour visible. The four signatures above appear in any Jakarta EE application under load; the only difference is which bean and which API boundary triggers them.
    
+            
    
+
             
    The take-home reference is exercises/module-5-apply-to-your-app/gc-pathology-catalog.md, which restates the four patterns with their JFR signatures, plain-language root causes, and a fix-order list per pattern.
    
         
    
 
@@ -1645,7 +1789,7 @@ 
    Takeaways
    
                 
  • The four GC pathologies have signatures you can recognise in any application on any JVM runtime.
    • 
                 
  • event.isEnabled() and @StackTrace(false) are the two rules for production-grade custom JFR events.
    • 
                 
  • Stress-test before shipping. JFR tells you what happened; pre-production stress tells you whether it will happen in prod.
    • 
-                
  • The runtime is a production decision with measurable consequences. The recording, not the brand, decides.
    • 
+                
  • The runtime is a production decision with measurable consequences. The recording, not the brand, decides. Today you read OpenJDK runtimes. The same skill applies to any JVM, including those that sit above the ceiling you measured.
    • 
             
         
    
     
    
@@ -1657,7 +1801,11 @@ 
    The Azul Stack
    
         
    
 
         
    
-            
    You ran community Payara Micro 7 on Azul Zulu OpenJDK in the lab today. The commercial Azul stack consolidates the JDK, the Jakarta EE runtime, and the high-performance JVM under one vendor:
    
+            
    You spent today reading JFR recordings from two OpenJDK runtimes. Every recording you opened showed you what a collector does under load: where it pauses, how long for, and why. That diagnostic skill does not depend on the brand on the JVM.
    
+
+            
    The recordings you read today have a ceiling. ZGC's sub-millisecond pauses are the best the OpenJDK envelope provides. Azul Platform Prime's C4 collector operates above that envelope: zero stop-the-world phases, even during compaction. The same JFR analysis you just learned will show you the difference if you open a Prime recording.
    
+
+            
    The commercial Azul stack consolidates the JDK, the Jakarta EE runtime, and the high-performance JVM under one vendor:
    
 
             
    
                 
@@ -1671,15 +1819,15 @@ 
    The Azul Stack
    
-                            
+                            
    
                         
                         
    
                             Azul Platform PrimeThe JVM above the OpenJDK pause-time envelope: C4 collector, ReadyNow warmup, Falcon JIT, production support for workloads where ZGC's allocation envelope is the constraint.The JVM above the OpenJDK pause-time envelope: C4 collector eliminates the STW pauses you saw in today's ZGC recordings. ReadyNow warmup, Falcon JIT, and production support for workloads where ZGC's allocation envelope is the constraint.
                         
    
                         
                 
    
             
    
 
-            
    The JFR analysis skills you used today apply unchanged, and the same Payara application runs without modification on either runtime. Only the runtime ceiling changes.
    
+            
    The same Payara application runs without modification. Only the runtime ceiling changes. Bring a Prime recording to JMC and read it with the same checklist you used today.
    
 
-            
    Talk to us if your production workload has outgrown the recordings you read today.
    
+            
    Talk to the Azul team if your production workload needs to go beyond what you measured today.
    
         
    
     
    
 
diff --git a/workshop/WORKSHOP.md b/workshop/WORKSHOP.md
index aa7328e..6824e17 100644
--- a/workshop/WORKSHOP.md
+++ b/workshop/WORKSHOP.md
@@ -191,9 +191,8 @@ The **Collector Name** column tells you which GC algorithm ran. This workshop us
 | **G1** (Garbage First) | OpenJDK, ships with JDK 9+ | Generational, mostly concurrent. Young collections are STW; old-gen marking is concurrent. | Pauses scale with live set. Typical 5-50 ms. |
 | **ZGC** (Z Garbage Collector) | OpenJDK, ships with JDK 11+ (production-ready JDK 15+) | Generational (since JDK 21), fully concurrent. STW phases do only root scanning. | Sub-millisecond regardless of heap size. |
 | **Shenandoah** | OpenJDK, ships with JDK 12+ | Concurrent, uses brooks pointers for object movement. | Similar to ZGC: sub-millisecond. |
-| **C4** (Continuously Concurrent Compacting Collector) | Azul Platform Prime (commercial, not OpenJDK) | Fully concurrent, no STW phases at all. | Zero pauses, even during compaction. |
 
-G1 is the OpenJDK default. ZGC and Shenandoah are the low-latency OpenJDK alternatives. C4 is Azul's proprietary collector that goes one step further: where ZGC has brief sub-ms STW pauses for root scanning, C4 eliminates even those.
+G1 is the OpenJDK default. ZGC and Shenandoah are the low-latency OpenJDK alternatives. Azul Platform Prime ships C4, a fully concurrent collector with zero STW pauses; it is mentioned in the closing section as the commercial option beyond the OpenJDK envelope.
 
 This workshop compares ZGC (Azul Zulu 25) against G1 (Eclipse Temurin 25). The contrast is the same: concurrent vs STW collection under allocation pressure.
 
diff --git a/workshop/exercises/module-1-find-longest-pause/expected-output.txt b/workshop/exercises/module-1-find-longest-pause/expected-output.txt
index 5230619..3df8c60 100644
--- a/workshop/exercises/module-1-find-longest-pause/expected-output.txt
+++ b/workshop/exercises/module-1-find-longest-pause/expected-output.txt
@@ -1,10 +1,10 @@
 # Expected output for a 60-second baseline recording at roughly 60K msg/sec
 
-## C4 baseline (typical)
+## ZGC baseline (typical)
 
-Longest pause:        0.2 - 1.0 ms (often shown as "0 ms" by JMC due to rounding)
-Collector name:       GPGC New
-GC cause:             Concurrent New collection
+Longest pause:        0.1 - 1.0 ms (often shown as "0 ms" by JMC due to rounding)
+Collector name:       ZGC Minor / ZGen Young
+GC cause:             Allocation Rate / High Usage
 Pauses over 5 ms:     0
 Total pause time:     < 10 ms across the recording
 
@@ -19,8 +19,8 @@ Total pause time:     30 - 80 ms across the recording
 ## Interpretation
 
 Even at steady state and with a comfortable heap, G1 incurs single-digit
-millisecond young-gen pauses periodically. C4 does not, because all phases
-including young-gen collection are concurrent with the application.
+millisecond young-gen pauses periodically. ZGC does not, because both
+young and old generation collection run concurrently with the application.
 
 For a 60K msg/sec workload, a 10 ms pause means roughly 600 messages buffered.
 Whether that is acceptable depends on your SLA - this is the kind of question
diff --git a/workshop/slides/slides.md b/workshop/slides/slides.md
deleted file mode 100644
index f4813f8..0000000
--- a/workshop/slides/slides.md
+++ /dev/null
@@ -1,615 +0,0 @@
----
-marp: true
-theme: default
-paginate: true
-backgroundColor: "#0c0e14"
-color: "#e6e6e6"
-header: "Low-Latency Trading with Jakarta EE and Payara Micro"
-footer: "JNation Workshop · TradeStreamEE"
-style: |
-  section {
-    font-family: 'IBM Plex Sans', 'Source Sans 3', sans-serif;
-    font-size: 28px;
-  }
-  h1, h2, h3 {
-    font-family: 'Playfair Display', 'Fraunces', serif;
-    color: #f5f5f5;
-    font-weight: 900;
-  }
-  h1 { font-size: 56px; letter-spacing: -1px; }
-  h2 { font-size: 40px; }
-  h3 { font-size: 32px; color: #c4a574; }
-  code, pre {
-    font-family: 'JetBrains Mono', 'Fira Code', monospace;
-    font-size: 22px;
-  }
-  pre {
-    background: #1a1d27;
-    border-left: 3px solid #c4a574;
-    padding: 16px;
-  }
-  table { font-size: 22px; }
-  th { color: #c4a574; }
-  blockquote {
-    border-left: 4px solid #c4a574;
-    color: #b8b8b8;
-    font-style: italic;
-  }
-  .accent { color: #c4a574; font-weight: 900; }
-  .muted { color: #888; }
----
-
-
-
-# Low-Latency Trading with Jakarta EE
-
-## Build, observe, and stress-test a real trading system on Payara Micro
-
-JNation · 3 hours 30 minutes
-
-Bring a laptop. We will read recordings together.
-
----
-
-## Today's question
-
-> Your trading system meets its latency SLA in staging.
-> Production peak hits. P99 climbs from 8 ms to 110 ms.
-> Support has no recording. Nobody changed the code.
-> **What happened, and how do you prove it?**
-
-This workshop builds the answer from JFR data on a real Jakarta EE application.
-
----
-
-## What you leave with
-
-- The TradeStreamEE source and Docker setup (a real Jakarta EE 11 trading app on Payara Micro 7)
-- Ten pre-recorded `.jfr` files across five scenarios on two OpenJDK runtimes
-- A printable JFR analysis checklist
-- Three reusable JFR event templates
-- A diagnostic mental model that transfers to any Java application on any runtime
-
----
-
-## Five modules
-
-| # |            Module             |  Time  |
-|---|-------------------------------|--------|
-| 1 | Setup and warm-up             | 30 min |
-| 2 | Reading JFR recordings        | 60 min |
-| 3 | Custom JFR events             | 45 min |
-| 4 | Stress testing & production readiness | 45 min |
-| 5 | Applying to your applications | 30 min |
-
----
-
-## The system you will be running
-
-```
-MarketDataPublisher (virtual thread)
-       │ SBE binary encode (off-heap)
-       ▼
-   Aeron IPC (shared memory)
-       │
-       ▼
-MarketDataFragmentHandler (zero-copy decode)
-       ├──> MatchingEngine
-       ├──> BarAggregator + ta4j
-       └──> MarketDataBroadcaster ─> Hazelcast ─> WebSocket
-```
-
-Throughput target: 100K messages per second.
-
----
-
-## One application, two OpenJDK runtimes
-
-```
-:8080  ┌─ Runtime A ─────┐         :9080  ┌─ Runtime B ─────┐
-       │ Zulu 25 + ZGC   │                │ Temurin 25 + G1 │
-       │ Payara Micro 7  │                │ Payara Micro 7  │
-       └─────────────────┘                └─────────────────┘
-
-       Identical Jakarta EE 11 application on both sides.
-       Identical heap (-Xms2g -Xmx2g, AlwaysPreTouch, THP).
-       Identical workload.
-       The OpenJDK runtime is the only deliberate variable.
-```
-
-The application is the constant; the runtime is the variable.
-This workshop will not declare a winner: the recordings will say what they say, and you will read them.
-
----
-
-
-
-# Module 1
-
-## Setup and warm-up
-
-30 minutes
-
----
-
-## Bring up the instances
-
-```bash
-git clone 
-cd trader-stream-ee
-./workshop/scripts/quickstart.sh
-```
-
-Then:
-
-```bash
-curl -s http://localhost:8080/trader-stream-ee/api/health/check | jq
-curl -s http://localhost:9080/trader-stream-ee/api/health/check | jq
-```
-
-Both must return `"status": "healthy"`.
-
----
-
-## The JFR REST API
-
-The application exposes JFR control over HTTP. No `jcmd`, no docker exec.
-
-```bash
-# Start a 60-second recording on the ZGC instance
-curl -X POST 'http://localhost:8080/trader-stream-ee/api/jfr/recording/start?name=baseline&durationSeconds=60&settings=tradestream-workshop'
-
-# List captured files (auto-dumped on duration expiry)
-curl http://localhost:8080/trader-stream-ee/api/jfr/files | jq
-
-# Recordings persist to host via Docker bind mount:
-ls -lh monitoring/recordings/workshop-zgc/
-```
-
----
-
-## Open in JMC
-
-```bash
-jmc -open monitoring/recordings/workshop-zgc/baseline-*.jfr
-```
-
-Three views to read first:
-
-1. `General → Garbage Collections`
-2. `Memory → Allocation`
-3. `Threads → Hot Methods`
-
----
-
-## Exercise 1.1
-
-**Find the longest GC pause in your baseline recording.**
-
-Record:
-
-- Duration (ms)
-- Collector name
-- GC cause
-
-Hint: in JMC, sort the Duration column descending. The first row is your answer.
-
-> Full hints and expected output: `workshop/exercises/module-1-find-longest-pause/`
-
----
-
-## Module 1 checkpoint
-
-Compare across the room. What does your baseline recording show on each port?
-
-- Port 8080 (Zulu 25 + ZGC): which collection events fire, and at what pause duration?
-- Port 9080 (Temurin 25 + G1): which collection events fire, and at what pause duration?
-
-Same heap, same workload, same Payara Micro application. **What is each runtime doing differently to produce its characteristic pause profile?**
-
-Hold the question. We will answer it in Module 2 by reading the JFR events.
-
----
-
-
-
-# Module 2
-
-## Reading JFR recordings
-
-60 minutes
-
----
-
-## GC events: read these three first
-
-|          Event           |                  What it tells you                  |
-|--------------------------|-----------------------------------------------------|
-| `jdk.GarbageCollection`  | Wall-clock pause time, cause                        |
-| `jdk.GCPhasePause`       | Where the pause time actually went                  |
-| `jdk.GCPhasePauseLevel1` | Per-subphase: Update RS, Evacuate, Object Copy, ... |
-
-For G1: also `jdk.G1HeapSummary`, `jdk.EvacuationFailed`, `jdk.PromotionFailed`.
-
----
-
-## Average lies. Distributions don't.
-
-| Quantile  |        What it tells you        |
-|-----------|---------------------------------|
-| P50       | "Typical pause"                 |
-| P95       | "Routine bad pause"             |
-| **P99**   | **"What 1 in 100 GCs cost"**    |
-| **P99.9** | **"Where incidents come from"** |
-| Max       | "Worst single pause"            |
-
-Sample size matters. P99 from 10 collections is meaningless.
-
----
-
-## Young, mixed, full
-
-|           G1 name           |      What it was doing       |         Cost         |
-|-----------------------------|------------------------------|----------------------|
-| `Young Generation` (Normal) | Young-only collection        | Cheap                |
-| `Young Generation` (Mixed)  | Young + some old             | Expensive            |
-| `Full GC`                   | Whole-heap stop-the-world    | "You have a problem" |
-| `Concurrent Cycle`          | Marking with the application | Not a pause          |
-
-ZGC reports its collections under different names (`ZGen Young`, `ZGen Old`, plus brief `Pause Mark Start` / `Pause Relocate Start` events). Both generations are collected predominantly concurrently; the STW events you see in JFR are short coordination phases, not collection work.
-
----
-
-## The four pathologies
-
-```
-Long GC pause
-    │
-    ├─ pause scales with old gen?      → PROMOTION STORM
-    ├─ many small regions, churn?      → FRAGMENTATION
-    ├─ Update RS dominates pause?      → CROSS-GEN REFS
-    └─ EvacuationFailed events?        → EVAC FAILURE
-```
-
-Recognise the JFR signature; you can diagnose any of these in any application.
-
----
-
-## Promotion storm signature
-
-- `jdk.PromoteObjectOutsidePLAB` count climbing
-- Old gen growing monotonically
-- Mixed collections appear and lengthen
-- High allocation rate + high survival rate
-
-Fix order: reduce allocation → increase young gen → change collector.
-
----
-
-## Fragmentation signature
-
-- Small objects (size < 1 KB) dominate `jdk.ObjectAllocationSample`
-- `jdk.G1HeapRegionTypeChange` events frequent
-- Pause time scales with region count, not heap size
-- `Object Copy` phase dominates
-
-Fix: concurrent compacting collector (ZGC, C4), or consolidate small objects.
-
----
-
-## Cross-generational reference signature
-
-- `Update RS` or `Scan RS` dominates pause time
-- `ExecutionSample` stacks point into `G1BarrierSet`
-- Mutable singletons holding refs to recent young-gen objects
-
-Fix: immutable holders, copy-on-write, or a concurrent collector without remembered sets (ZGC, C4).
-
----
-
-## Exercise 2.5
-
-**Diagnose EARNINGS_SPIKE.**
-
-```bash
-# Pre-recorded:
-jmc -open workshop/recordings/g1-earnings-spike.jfr
-jmc -open workshop/recordings/zgc-earnings-spike.jfr
-```
-
-For each recording, report what you see:
-
-- G1: when does the first mixed collection trigger? What is old gen at that moment? How does pause time change across the recording?
-- ZGC: same workload, what events fire and at what pause duration? Does pause time change across the recording?
-
-Bring your findings to the room. The recordings will say what they say; we will read them together.
-
-> Template: `workshop/exercises/module-2-diagnose-earnings-spike/analysis-template.md`
-
----
-
-## Module 2 checkpoint
-
-Two questions:
-
-1. P99 = 80 ms, Max = 800 ms. Which do you fix first?
-2. What recording duration makes P99 statistically meaningful at 10 collections per minute?
-
----
-
-
-
-# Module 3
-
-## Custom JFR events
-
-45 minutes
-
----
-
-## Anatomy of a custom event
-
-```java
-@Name("trade.published")
-@Label("Trade Published")
-@StackTrace(false)
-public static class TradePublished extends Event {
-    public String symbol;
-    public long price;
-    public int quantity;
-    public String side;
-}
-```
-
-```java
-TradePublished event = new TradePublished();
-if (event.isEnabled()) {           // ← critical: cheap when JFR is off
-    event.symbol = symbol;
-    event.price = price;
-    event.quantity = qty;
-    event.side = side.name();
-    event.commit();
-}
-```
-
----
-
-## Three rules for hot-path events
-
-1. **`event.isEnabled()`** before any field assignment. The JIT can sometimes elide the `new Event()` allocation when the type is disabled, but only the guard stops your field-population work from running.
-2. **`@StackTrace(false)`** on high-volume events. Stack capture is the dominant cost.
-3. **Primitive fields over Strings.** Strings are interned in the JFR pool; the lookup is per-emission.
-
----
-
-## Correlating with GC events
-
-In JMC's Event Browser, overlay timelines:
-
-```
-GC pause:        [---50ms---]
-SBE encode:  ............    .  .  .   .
-                ^             ^
-                stalls        catches up
-```
-
-If SBE encodes go to zero during the pause, the publisher virtual thread was stopped.
-If they don't, you have carrier-thread pinning to investigate.
-
----
-
-## Exercise 3.4
-
-**Add a `BurstPatternEvent` that fires on 5x spikes.**
-
-```bash
-# Starter file:
-workshop/exercises/module-3-burst-event/BurstPatternEvent.starter.java
-
-# Install into source tree:
-./workshop/scripts/install-exercise.sh module-3-burst-event
-
-# Rebuild and roll one instance (Zulu shown; the same step works for Temurin):
-docker compose -f docker-compose-workshop.yml build trader-stream-workshop-zgc
-docker compose -f docker-compose-workshop.yml up -d --no-deps trader-stream-workshop-zgc
-```
-
-Verify the event appears in JMC's Event Browser.
-
----
-
-## Module 3 checkpoint
-
-What in your own application is the single hottest code path you currently have no visibility into?
-
-Pick one. Note the fields you would want on the event. We will come back to this in Module 5.
-
----
-
-
-
-# Module 4
-
-## Stress testing & production readiness
-
-45 minutes
-
----
-
-## The other four scenarios
-
-|             Scenario             |            Stresses            |
-|----------------------------------|--------------------------------|
-| `INTRADAY_POSITION_GROWTH`       | Mixed collection scaling       |
-| `EARNINGS_SPIKE`                 | Old-gen collection efficiency  |
-| `MULTI_VENUE_QUOTE_CHURN`        | Compaction overhead            |
-| `LONG_HORIZON_POSITION_BOOK`     | Remembered-set / write barrier |
-
-The application and heap are identical across both ports; the OpenJDK runtime is the only variable, and the outcome you will read from JFR follows from that.
-
----
-
-## Side-by-side
-
-```bash
-# Visual:
-jmc -open workshop/recordings/zgc-multi-venue-quote-churn.jfr \
-    -open workshop/recordings/g1-multi-venue-quote-churn.jfr
-
-# CLI:
-./workshop/scripts/compare-recordings.sh \
-    workshop/recordings/zgc-multi-venue-quote-churn.jfr \
-    workshop/recordings/g1-multi-venue-quote-churn.jfr
-```
-
----
-
-## Exercise 4.4
-
-**For each scenario, write a one-sentence behavioural difference.**
-
-|             Scenario             | Difference |
-|----------------------------------|------------|
-| `INTRADAY_POSITION_GROWTH`       | ...        |
-| `EARNINGS_SPIKE`                 | ...        |
-| `MULTI_VENUE_QUOTE_CHURN`        | ...        |
-| `LONG_HORIZON_POSITION_BOOK`     | ...        |
-
-> Template: `workshop/exercises/module-4-stress-testing/comparison-template.md`
-
----
-
-## Module 4 checkpoint
-
-Your trading system needs sub-10 ms P99 latency under adversarial load. Two questions:
-
-1. Based on the recordings in front of you, which runtime configuration would you ship to production? Cite the events that drove the choice.
-2. At what allocation rate or live-set size does each runtime start to fall behind the application's needs? Where is that line for *your* production workload?
-
----
-
-
-
-# Module 5
-
-## Applying to your applications
-
-30 minutes
-
----
-
-## Pattern matching in the wild
-
-| Workshop pathology |                    Where it shows up                     |
-|--------------------|----------------------------------------------------------|
-| Promotion storm    | Caches with TTL > young-gen interval; pooled connections |
-| Fragmentation      | Long-lived apps with many distinct object sizes          |
-| Cross-gen refs     | Mutable singletons holding recent request objects        |
-| Evacuation failure | Heap sized too tight; allocation bursts                  |
-
-The signatures are the same across applications; only the surrounding code changes.
-
----
-
-## Allocation vs. collector choice
-
-```
-Long GC pauses observed
-    │
-    ├─ allocation > 500 MB/s?  → reduce allocation FIRST
-    │                            (flyweight, off-heap, primitive arrays)
-    ├─ heap > 8 GB?            → concurrent collector
-    │                            (ZGC, Shenandoah, C4)
-    ├─ throughput-sensitive     → C4 (no read barrier overhead)
-    │  + low latency?           │
-    └─ G1 fits but tail is bad → tune MaxGCPauseMillis,
-                                  InitiatingHeapOccupancyPercent
-```
-
-Reducing allocation is almost always cheaper than changing collector.
-
----
-
-## Production-safe JFR
-
-```bash
-java \
-  -XX:StartFlightRecording=name=production,settings=default,maxsize=1g,maxage=24h,dumponexit=true,filename=/var/log/myapp/jfr/production.jfr \
-  -XX:FlightRecorderOptions=stackdepth=64
-```
-
-- `settings=default` keeps overhead ~1%.
-- Workshop profile is dev-only.
-- Cap size and age.
-- `jcmd  JFR.dump filename=...` for on-demand snapshots during incidents.
-
----
-
-## Three event templates
-
-For your own applications:
-
-|    Template     |                           When                           |
-|-----------------|----------------------------------------------------------|
-| `LatencyEvent`  | Any operation whose tail latency matters                 |
-| `ThrottleEvent` | Circuit breaker / rate limit / backpressure state change |
-| `ResourceEvent` | Pool / cache / file-handle state crossing a threshold    |
-
-In `workshop/exercises/module-5-apply-to-your-app/event-templates/`.
-
----
-
-
-
-## Q&A and open debugging
-
-Bring your own JFR recordings.
-
-We will walk through real attendee data for the last 10 minutes.
-
----
-
-## Takeaways
-
-1. JFR is the diagnostic of record for production Jakarta EE applications. Ship every container with always-on JFR.
-2. The four GC pathologies have signatures you can recognise in any application on any JVM runtime.
-3. `event.isEnabled()` and `@StackTrace(false)` are the two rules for production-grade custom JFR events.
-4. Stress-test before shipping. JFR tells you what happened; pre-production stress tells you whether it will happen in prod.
-5. The runtime is a production decision with measurable consequences. The recording, not the brand, decides.
-
----
-
-## The Azul stack
-
-You ran community Payara Micro 7 on Azul Zulu OpenJDK in the lab today. The commercial Azul stack consolidates the JDK, the Jakarta EE runtime, and the high-performance JVM under one vendor:
-
-|                          | What it adds beyond what you ran today                                                                                                                            |
-|--------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| **Azul Payara Micro 7**  | Same Jakarta EE 11 runtime, plus monthly security patches, CVE Numbering Authority disclosures, multi-phase lifecycle (Full / Extended / Lifetime), 24-48h bug-fix SLA, and Azul Zulu OpenJDK bundled in the subscription. |
-| **Azul Platform Prime**  | The JVM above the OpenJDK pause-time envelope: C4 collector, ReadyNow warmup, Falcon JIT, production support for workloads where ZGC's allocation envelope is the constraint.                                              |
-
-The JFR analysis skills you used today apply unchanged, and the same Payara application runs without modification on either runtime. Only the runtime ceiling changes.
-
-Talk to us if your production workload has outgrown the recordings you read today.
-
----
-
-## Further reading
-
-- Payara Micro 7 documentation: 
-- Jakarta EE 11 specification: 
-- JDK Flight Recorder (JEP 328): 
-- ZGC documentation: 
-- G1 ergonomics: 
-- JMC user guide: 
-- Azul Platform Prime documentation: 
-
-Workshop materials: `workshop/` in this repo.
-
----
-
-
-
-# Thank you
-
-Questions, recordings, war stories: bring them.

From ba12d51e97d6f7ef03b225fa7aaa782e97b39d09 Mon Sep 17 00:00:00 2001
From: Luqman Saeed 
Date: Tue, 26 May 2026 14:13:08 +0100
Subject: [PATCH 29/33] Update CDN library versions, fix Reveal.js 6 plugin
 paths

---
 src/main/webapp/analysis-checklist.html | 696 ++++++++++++++++++++++++
 src/main/webapp/blog.html               |   4 +-
 src/main/webapp/comparison.html         |   2 +-
 src/main/webapp/index.html              |   2 +-
 src/main/webapp/operational-notes.html  | 502 +++++++++++++++++
 src/main/webapp/presentation.html       |  14 +-
 src/main/webapp/trading.html            |   2 +-
 src/main/webapp/workshop.html           | 276 ++++++----
 8 files changed, 1372 insertions(+), 126 deletions(-)
 create mode 100644 src/main/webapp/analysis-checklist.html
 create mode 100644 src/main/webapp/operational-notes.html

diff --git a/src/main/webapp/analysis-checklist.html b/src/main/webapp/analysis-checklist.html
new file mode 100644
index 0000000..dfb3d46
--- /dev/null
+++ b/src/main/webapp/analysis-checklist.html
@@ -0,0 +1,696 @@
+
+
+
+    
+    
+    JFR Analysis Checklist
+    
+    
+    
+    
+    
+    
+    
+
+
+
+
    
+    Printable Reference
+    
    JFR Analysis Checklist
    
+    
    Two pages. Print double-sided. Keep at your desk.
    
+
    
+
+
    
+
+    
    
+        
    Capture
    
+        
      
+            
    • Recording length: at least 10 minutes for stable percentiles; longer for rare events.
      • 
+            
    • Settings profile: default.jfc in production (~1%), profile.jfc for dev (~2%), workshop .jfc only when reproducing a specific scenario.
      • 
+            
    • maxsize and maxage set; recording is circular, not unbounded.
      • 
+            
    • Application is in steady state when capture begins (JIT warmed, caches populated). Skip the first 60 seconds.
      • 
+            
    • If you control the workload, freeze it during capture. If you don't, note the request rate at start and end.
      • 
+            
    • Filename includes timestamp, host, and recording purpose.
      • 
+        
    
+    
    
+
+    
    
+
+    
    
+        
    Triage: Read in This Order
    
+        
      
+            
    1. Recording duration and event coverage. Outline → General → Recording Information. Confirm the timeline matches what you expected.
      2. 
+            
    2. GC pause headline. Outline → General → Garbage Collections, sort Duration descending. Read the top 5 rows.
      3. 
+            
    3. Heap shape. Outline → Memory → Heap Usage After GC. Is old gen growing? Plateau? Sawtooth?
      4. 
+            
    4. Allocation hot stacks. Outline → Memory → Allocations → Hot Methods. Top 3 methods by bytes allocated.
      5. 
+            
    5. Custom application events. Event Browser → Custom. Are domain events firing at expected rates?
      6. 
+        
    
+
+        
    
+            
    If you only have time for one view, choose #2.
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    Pause Time Distributions
    
+
+        
    
+            
+                
+                
+                    
+                    
+                    
+                    
+                    
+                
+            
    QuantileWhat It Tells You
    P50"Typical pause." Mostly informational.
    P95"Routine bad pause." Should be near the SLA threshold.
    P99"What 1 in 100 GCs cost." Most operational alerts live here.
    P99.9"What 1 in 1000 GCs cost." Where incidents come from.
    Max"Worst single pause." Investigate even one if it exceeds your SLA.
    
+        
    
+
+        
    
+            
    Sample size matters. P99 from 10 collections is not statistically meaningful. Aim for hundreds of pause events in the window.
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    Pathology Triage Tree
    
+        
    Pause time > SLA?
+├─ Yes → check Name column:
+│        ├─ "G1 Young Generation (Normal)"
+│        │  └─ check Allocation rate. > 500 MB/s? → reduce allocation.
+│        │     Otherwise → check survivor sizing.
+│        ├─ "G1 Young Generation (Mixed)"
+│        │  └─ check old gen growth. Filling fast? → PROMOTION STORM.
+│        │     check region count being mixed. High? → FRAGMENTATION.
+│        ├─ "G1 Full GC"
+│        │  └─ EvacuationFailed events present? → to-space exhausted.
+│        │     PromotionFailed present? → old gen full.
+│        │     Neither? → System.gc() called, or metaspace.
+│        └─ Pause's biggest phase (jdk.GCPhasePauseLevel1):
+│           ├─ "Update RS"     → cross-gen ref pressure
+│           ├─ "Scan RS"       → cross-gen ref pressure
+│           ├─ "Evacuate CS"   → promotion / object copy cost
+│           ├─ "Code Roots"    → many classes being recompiled
+│           └─ "Ref Proc"      → too many soft/weak/phantom refs
+└─ No → recording shows healthy GC. If app feels slow, look elsewhere
+        (lock contention, virtual-thread pinning, I/O).
    
+    
    
+
+    
    
+
+    
    
+        
    Pathology Signatures
    
+
+        
    
+            
    Promotion Storm
    
+            
      
+                
    • jdk.PromoteObjectOutsidePLAB count climbs across recording.
      • 
+                
    • Old gen usage curve rises monotonically.
      • 
+                
    • Mixed collections appear and lengthen over time.
      • 
+                
    • Allocation rate is high (> 200 MB/s) AND survival rate is high (> 30%).
      • 
+            
    
+            
    Fixes, in order of preference:
    
+            
      
+                
    1. Reduce allocation in the survival-heavy code path (object pooling, primitive arrays).
      2. 
+                
    2. Increase young gen so more objects die young (-XX:NewRatio, region count).
      3. 
+                
    3. Switch to a concurrent collector (ZGC, Shenandoah).
      4. 
+            
    
+        
    
+
+        
    
+            
    Fragmentation
    
+            
      
+                
    • Many small objects (jdk.ObjectAllocationSample, size < 1 KB).
      • 
+                
    • jdk.G1HeapRegionTypeChange events frequent.
      • 
+                
    • Pause time correlates with region count being evacuated, not heap size.
      • 
+                
    • jdk.GCPhasePauseLevel2 → Object Copy is the dominant phase.
      • 
+            
    
+            
    Fixes:
    
+            
      
+                
    1. Switch to a compacting concurrent collector (ZGC defragments less, C4 compacts continuously).
      2. 
+                
    2. Consolidate small objects into arrays or off-heap buffers.
      3. 
+                
    3. Increase G1HeapRegionSize so fewer regions hold equivalent data.
      4. 
+            
    
+        
    
+
+        
    
+            
    Cross-generational References
    
+            
      
+                
    • jdk.GCPhasePauseLevel1 events with name "Update RS" or "Scan RS" dominating pause time.
      • 
+                
    • ExecutionSample stacks pointing into G1BarrierSet::write_ref_field_post.
      • 
+                
    • Old-gen objects holding references to young-gen objects (mutable singletons, caches).
      • 
+            
    
+            
    Fixes:
    
+            
      
+                
    1. Make old-gen holders immutable or copy-on-write.
      2. 
+                
    2. Switch to a collector with cheaper barriers (ZGC's load barrier) or without remembered sets (C4).
      3. 
+                
    3. Reduce write rate to old-gen mutable fields.
      4. 
+            
    
+        
    
+
+        
    
+            
    Evacuation Failure
    
+            
      
+                
    • jdk.EvacuationFailed events present.
      • 
+                
    • May be followed by a full GC if the heap remains constrained; JDK 21's Tenuring Anywhere change reduces this likelihood by letting subsequent young collections reclaim old-gen regions.
      • 
+                
    • All available heap regions are committed and none remain free for promotion or survivor copy when the failure fires.
      • 
+            
    
+            
    Fixes:
    
+            
      
+                
    1. Increase MaxHeapSize.
      2. 
+                
    2. Reduce allocation rate.
      3. 
+                
    3. Lower InitiatingHeapOccupancyPercent so concurrent marking starts earlier.
      4. 
+            
    
+        
    
+
+        
    
+            
    Virtual Thread Red Flags
    
+            
      
+                
    • jdk.VirtualThreadPinned events with duration over 100 ms.
      • 
+                
    • Pinned stacks usually point to synchronized blocks or JNI calls.
      • 
+            
    
+            
    Fixes:
    
+            
      
+                
    1. Replace synchronized with ReentrantLock where the carrier thread would otherwise be pinned.
      2. 
+                
    2. Move JNI-heavy work off virtual threads (use platform threads for native code paths).
      3. 
+            
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    CLI Quick Reference
    
+
+        
    
+            
    
+                bash
+                
+            
    
+            
    # Summary
+jfr summary recording.jfr
+
+# All GC events
+jfr print --events jdk.GarbageCollection recording.jfr
+
+# Custom events
+jfr print --events 'trade.*,gc.sla.violation' recording.jfr
+
+# Compare two recordings (workshop helper)
+./workshop/scripts/compare-recordings.sh zgc.jfr g1.jfr
+
+# Open in JMC
+jmc -open recording.jfr
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    Don't
    
+        
      
+            
    • Don't conclude from a 60-second recording that you have a GC problem in production. Take a 10-minute recording first.
      • 
+            
    • Don't enable jdk.ObjectAllocationInNewTLAB with stack traces in production. It is a development-only tool.
      • 
+            
    • Don't change collector before reducing allocation. The cheapest fix is almost always upstream.
      • 
+            
    • Don't tune MaxGCPauseMillis to a value below your P99 measurement. G1 will respond by collecting more often, not faster.
      • 
+        
    
+    
    
+
+
    
+
+
+
+
+
diff --git a/src/main/webapp/blog.html b/src/main/webapp/blog.html
index 1c5b604..ceae92f 100644
--- a/src/main/webapp/blog.html
+++ b/src/main/webapp/blog.html
@@ -4,7 +4,7 @@
     
     
     Azul C4 and Payara Micro: GC Performance in Financial Applications - TradeStreamEE Blog
-    
+    
     
+
+
+
+
    
+    Speaker Reference
+    
    Workshop Operational Notes
    
+    
    Risks the speaker should plan for, with concrete mitigations and fallback paths. Read this once during prep; refer to it on the day if something misbehaves.
    
+
    
+
+
    
+
+    
    
+        
    Risk Matrix
    
+
+        
    
+            
+                
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                
+                
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                    
+                        
+                        
+                        
+                        
+                        
+                    
+                
+            
    RiskLikelihoodImpactMitigationFallback
    Attendee on macOS hits find -printf errorsLowWorkflow breakrecord-scenarios.sh uses ls -1t, portable across BSD/GNU findPre-recorded .jfr files in workshop/recordings/ cover the same scenarios
    Azul Zulu image fails to pull (no internet at venue)MediumModule 4 diesdocker save both images to .tar ahead of time; ship on USBSwitch both instances to Dockerfile.scale.standard (Temurin/G1) for that session
    ZGC concurrent cycle falls behind under sustained scenario loadLowGC throughput dropsWorkshop compose runs ONE instance per collector (no Aeron busy-spin contention). Do not run the full comparison stack on laptopsRestart the container, rerun the single failing scenario
    JDK Mission Control not installed on attendee laptopMediumCan't open recordingsverify-setup.sh checks and prints install URLsUse workshop/scripts/jfr-query.sh to read recordings from the terminal
    Laptop has < 8 GB RAM freeLowOOM during scenarioWorkshop compose uses 2 GB heap; host needs ~4 GB totalReduce -Xms/-Xmx to 1g in docker-compose-workshop.yml
    Conference Wi-Fi blocks Docker Hub or nexus.payara.fishMediumFirst-run build failsdocker compose build before leaving home; image is cached locallyUSB stick with workshop-image.tar + docker load -i workshop-image.tar
    HTTP request to JFR API hangs > 15 s under loadMediumRecording script abortsrecord-scenarios.sh uses curl --max-time 15 --retry 3Stop the container; always-on recording flushes via dumponexit=true
    Hazelcast cluster discovery noise floods the logsLowHard to read live logsWorkshop compose runs single node; cluster is size 1 and quietn/a
    Attendee falls behind in a hands-on segmentMediumFrustrationEach exercise README has hint progressions and expected output; pre-recorded files mean every exercise is achievable even without a running clusterPair them with an attendee who is on track
    ZGC falls behind on a constrained laptopLowModule 3/5 disruptionSingle instance means no inter-MediaDriver contention. If ZGC still falls behind, the host is genuinely overloadedSwitch both instances to Temurin/G1 via Dockerfile.scale.standard
    
+        
    
+    
    
+
+    
    
+
+    
    
+        
    What Attendees Actually Need
    
+        
    Minimum requirements for every attendee laptop:
    
+        
      
+            
    • Docker 24+ with 4 GB allocated to the engine
      • 
+            
    • 10 GB free disk
      • 
+            
    • JDK 21+ on PATH (for the jfr CLI used by workshop scripts)
      • 
+            
    • JDK Mission Control (free downloads listed in workshop/README.md)
      • 
+            
    • A browser
      • 
+            
    • These ports free: 8080 (ZGC instance) and 9080 (G1 instance)
      • 
+        
    
+    
    
+
+    
    
+
+    
    
+        
    Diagnostic Checklist
    
+        
    When something doesn't work mid-workshop, run these in order:
    
+
+        
      
+            
    1. Is the container alive?
      docker ps --filter name=trader-stream-workshop
      2. 
+            
    2. Is the ZGC instance responding?
      curl -fsS http://localhost:8080/trader-stream-ee/api/health/check | jq .status
      3. 
+            
    3. Is the G1 instance responding?
      curl -fsS http://localhost:9080/trader-stream-ee/api/health/check | jq .status
      4. 
+            
    4. Did JFR initialise on ZGC?
      curl -fsS http://localhost:8080/trader-stream-ee/api/jfr/status | jq
      5. 
+            
    5. What does the ZGC app log?
      docker logs --tail 30 trader-stream-workshop-zgc
      6. 
+            
    6. Is the ZGC JVM healthy?
      docker exec trader-stream-workshop-zgc sh -c 'ls /opt/payara/hs_err_pid* 2>/dev/null && cat /opt/payara/hs_err_pid*.log | head -40'
      7. 
+            
    7. Disk full? Bind mount writable?
      docker exec trader-stream-workshop-zgc sh -c 'touch /opt/payara/recordings/.write-test && rm /opt/payara/recordings/.write-test && echo OK'
      8. 
+        
    
+
+        
    
+            
    If steps 1-4 are healthy but a scenario still misbehaves, the issue is almost always (a) the wrong REST path (it is /api/pressure/mode/..., not /api/memory/mode/...) or (b) the scenario is still running from a previous attempt. Run curl -X POST .../api/pressure/mode/OFF and try again.
    
+        
    
+    
    
+
+
    
+
+
+
+
+
diff --git a/src/main/webapp/presentation.html b/src/main/webapp/presentation.html
index ba14940..c2e0c5c 100644
--- a/src/main/webapp/presentation.html
+++ b/src/main/webapp/presentation.html
@@ -4,10 +4,10 @@
     
     
     High-Frequency Trading on Jakarta EE: GC Stress Testing with Azul C4 & Payara Micro
-    
-    
-    
-    
+    
+    
+    
+    
     
     
     
@@ -2641,9 +2641,9 @@ 
    Questions?
    - - - + + + +