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This commit is contained in:
upstream-mirror
2026-09-16 03:23:42 +05:00
commit 89f5be005d
3997 changed files with 961970 additions and 0 deletions

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# Keep only the Linux binaries
!weed-linux-amd64
!weed-linux-arm64

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# Binaries
kafka-loadtest
*.exe
*.exe~
*.dll
*.so
*.dylib
# Test binary, built with `go test -c`
*.test
# Output of the go coverage tool
*.out
# Go workspace file
go.work
# Test results and logs
test-results/
*.log
logs/
# Docker volumes and data
data/
volumes/
# Monitoring data
monitoring/prometheus/data/
monitoring/grafana/data/
# IDE files
.vscode/
.idea/
*.swp
*.swo
# OS generated files
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
# Environment files
.env
.env.local
.env.*.local
# Temporary files
tmp/
temp/
*.tmp
# Coverage reports
coverage.html
coverage.out
# Build artifacts
bin/
build/
dist/

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# Kafka Client Load Test Runner Dockerfile
# Multi-stage build for cross-platform support
# Stage 1: Builder
FROM golang:1.26-alpine AS builder
WORKDIR /app
# Copy go module files
COPY test/kafka/kafka-client-loadtest/go.mod test/kafka/kafka-client-loadtest/go.sum ./
RUN go mod download
# Copy source code
COPY test/kafka/kafka-client-loadtest/ ./
# Build the loadtest binary
RUN CGO_ENABLED=0 GOOS=linux go build -o /kafka-loadtest ./cmd/loadtest
# Stage 2: Runtime
# Use alpine so we don't depend on Ubuntu apt mirrors, which intermittently
# refuse connections from GitHub Actions runners and fail the CI build.
# All runtime dependencies we need (ca-certificates, curl, jq, bash, nc)
# are in the Alpine main repo.
FROM alpine:3.20
RUN apk add --no-cache \
ca-certificates \
curl \
jq \
bash \
netcat-openbsd
# Copy built binary from builder stage
COPY --from=builder /kafka-loadtest /usr/local/bin/kafka-loadtest
RUN chmod +x /usr/local/bin/kafka-loadtest
# Copy scripts and configuration
COPY test/kafka/kafka-client-loadtest/scripts/ /scripts/
COPY test/kafka/kafka-client-loadtest/config/ /config/
# Create results directory
RUN mkdir -p /test-results
# Make scripts executable
RUN chmod +x /scripts/*.sh
WORKDIR /app
# Default command runs the comprehensive load test
CMD ["/usr/local/bin/kafka-loadtest", "-config", "/config/loadtest.yaml"]

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# SeaweedFS Runtime Dockerfile for Kafka Client Load Tests
# Optimized for fast builds - binary built locally and copied in
FROM alpine:3.18
# Install runtime dependencies
RUN apk add --no-cache \
ca-certificates \
wget \
netcat-openbsd \
curl \
tzdata \
&& rm -rf /var/cache/apk/*
# Copy pre-built SeaweedFS binary (built locally for linux/amd64 or linux/arm64)
# Cache-busting: Use build arg to force layer rebuild on every build
ARG TARGETARCH=arm64
ARG CACHE_BUST=unknown
RUN echo "Building with cache bust: ${CACHE_BUST}"
COPY weed-linux-${TARGETARCH} /usr/local/bin/weed
RUN chmod +x /usr/local/bin/weed
# Create data directory
RUN mkdir -p /data
# Set timezone
ENV TZ=UTC
# Health check script
RUN echo '#!/bin/sh' > /usr/local/bin/health-check && \
echo 'exec "$@"' >> /usr/local/bin/health-check && \
chmod +x /usr/local/bin/health-check
VOLUME ["/data"]
WORKDIR /data
ENTRYPOINT ["/usr/local/bin/weed"]

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# Use the official Eclipse Temurin + Maven image so we don't depend on
# Debian apt mirrors, which intermittently refuse connections from
# GitHub Actions runners and fail the CI build. This image already has
# JDK 11 and Maven installed.
FROM maven:3.9-eclipse-temurin-11
WORKDIR /app
# Create source directory
RUN mkdir -p src/main/java
# Copy source and build files
COPY SeekToBeginningTest.java src/main/java/
COPY pom.xml .
# Compile and package
RUN mvn clean package -DskipTests
# Run the test
ENTRYPOINT ["java", "-cp", "target/seek-test.jar", "SeekToBeginningTest"]
CMD ["kafka-gateway:9093"]

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# Kafka Client Load Test Makefile
# Provides convenient targets for running load tests against SeaweedFS Kafka Gateway
.PHONY: help build start stop restart clean test quick-test stress-test endurance-test monitor logs status
# Configuration
DOCKER_COMPOSE := docker compose
PROJECT_NAME := kafka-client-loadtest
CONFIG_FILE := config/loadtest.yaml
# Build configuration
GOARCH ?= arm64
GOOS ?= linux
# Default test parameters
TEST_MODE ?= comprehensive
TEST_DURATION ?= 300s
PRODUCER_COUNT ?= 10
CONSUMER_COUNT ?= 5
MESSAGE_RATE ?= 1000
MESSAGE_SIZE ?= 1024
# Colors for output
GREEN := \033[0;32m
YELLOW := \033[0;33m
BLUE := \033[0;34m
NC := \033[0m
help: ## Show this help message
@echo "Kafka Client Load Test Makefile"
@echo ""
@echo "Available targets:"
@awk 'BEGIN {FS = ":.*?## "} /^[a-zA-Z_-]+:.*?## / {printf " $(BLUE)%-20s$(NC) %s\n", $$1, $$2}' $(MAKEFILE_LIST)
@echo ""
@echo "Environment variables:"
@echo " TEST_MODE Test mode: producer, consumer, comprehensive (default: comprehensive)"
@echo " TEST_DURATION Test duration (default: 300s)"
@echo " PRODUCER_COUNT Number of producers (default: 10)"
@echo " CONSUMER_COUNT Number of consumers (default: 5)"
@echo " MESSAGE_RATE Messages per second per producer (default: 1000)"
@echo " MESSAGE_SIZE Message size in bytes (default: 1024)"
@echo ""
@echo "Examples:"
@echo " make test # Run default comprehensive test"
@echo " make test TEST_DURATION=10m # Run 10-minute test"
@echo " make quick-test # Run quick smoke test (rebuilds gateway)"
@echo " make stress-test # Run high-load stress test"
@echo " make test TEST_MODE=producer # Producer-only test"
@echo " make schema-test # Run schema integration test with Schema Registry"
@echo " make schema-quick-test # Run quick schema test (30s timeout)"
@echo " make schema-loadtest # Run load test with schemas enabled"
@echo " make build-binary # Build SeaweedFS binary locally for Linux"
@echo " make build-gateway # Build Kafka Gateway (builds binary + Docker image)"
@echo " make build-gateway-clean # Build Kafka Gateway with no cache (fresh build)"
build: ## Build the load test application
@echo "$(BLUE)Building load test application...$(NC)"
$(DOCKER_COMPOSE) build kafka-client-loadtest
@echo "$(GREEN)Build completed$(NC)"
build-binary: ## Build the SeaweedFS binary locally for Linux
@echo "$(BLUE)Building SeaweedFS binary locally for $(GOOS) $(GOARCH)...$(NC)"
cd ../../.. && \
CGO_ENABLED=0 GOOS=$(GOOS) GOARCH=$(GOARCH) go build \
-ldflags="-s -w" \
-tags "5BytesOffset" \
-o test/kafka/kafka-client-loadtest/weed-$(GOOS)-$(GOARCH) \
weed/weed.go
@echo "$(GREEN)Binary build completed: weed-$(GOOS)-$(GOARCH)$(NC)"
build-gateway: build-binary ## Build the Kafka Gateway with latest changes
@echo "$(BLUE)Building Kafka Gateway Docker image...$(NC)"
CACHE_BUST=$$(date +%s) $(DOCKER_COMPOSE) build kafka-gateway
@echo "$(GREEN)Kafka Gateway build completed$(NC)"
build-gateway-clean: build-binary ## Build the Kafka Gateway with no cache (force fresh build)
@echo "$(BLUE)Building Kafka Gateway Docker image with no cache...$(NC)"
$(DOCKER_COMPOSE) build --no-cache kafka-gateway
@echo "$(GREEN)Kafka Gateway clean build completed$(NC)"
setup: ## Set up monitoring and configuration
@echo "$(BLUE)Setting up monitoring configuration...$(NC)"
./scripts/setup-monitoring.sh
@echo "$(GREEN)Setup completed$(NC)"
start: build-gateway ## Start the infrastructure services (without load test)
@echo "$(BLUE)Starting SeaweedFS infrastructure...$(NC)"
$(DOCKER_COMPOSE) up -d \
seaweedfs-master \
seaweedfs-volume \
seaweedfs-filer \
seaweedfs-mq-broker \
kafka-gateway \
schema-registry-init \
schema-registry
@echo "$(GREEN)Infrastructure started$(NC)"
@echo "Waiting for services to be ready..."
./scripts/wait-for-services.sh wait
@echo "$(GREEN)All services are ready!$(NC)"
stop: ## Stop all services
@echo "$(BLUE)Stopping all services...$(NC)"
$(DOCKER_COMPOSE) --profile loadtest --profile monitoring down
@echo "$(GREEN)Services stopped$(NC)"
restart: stop start ## Restart all services
clean: ## Clean up all resources (containers, volumes, networks, local data)
@echo "$(YELLOW)Warning: This will remove all volumes and data!$(NC)"
@echo "Press Ctrl+C to cancel, or wait 5 seconds to continue..."
@sleep 5
@echo "$(BLUE)Cleaning up all resources...$(NC)"
$(DOCKER_COMPOSE) --profile loadtest --profile monitoring down -v --remove-orphans
docker system prune -f
@if [ -f "weed-linux-arm64" ]; then \
echo "$(BLUE)Removing local binary...$(NC)"; \
rm -f weed-linux-arm64; \
fi
@if [ -d "data" ]; then \
echo "$(BLUE)Removing ALL local data directories (including offset state)...$(NC)"; \
rm -rf data/*; \
fi
@echo "$(GREEN)Cleanup completed - all data removed$(NC)"
clean-binary: ## Clean up only the local binary
@echo "$(BLUE)Removing local binary...$(NC)"
@rm -f weed-linux-arm64
@echo "$(GREEN)Binary cleanup completed$(NC)"
status: ## Show service status
@echo "$(BLUE)Service Status:$(NC)"
$(DOCKER_COMPOSE) ps
logs: ## Show logs from all services
$(DOCKER_COMPOSE) logs -f
test: start ## Run the comprehensive load test
@echo "$(BLUE)Running Kafka client load test...$(NC)"
@echo "Mode: $(TEST_MODE), Duration: $(TEST_DURATION)"
@echo "Producers: $(PRODUCER_COUNT), Consumers: $(CONSUMER_COUNT)"
@echo "Message Rate: $(MESSAGE_RATE) msgs/sec, Size: $(MESSAGE_SIZE) bytes"
@echo ""
@docker rm -f kafka-client-loadtest-runner 2>/dev/null || true
TEST_MODE=$(TEST_MODE) TEST_DURATION=$(TEST_DURATION) PRODUCER_COUNT=$(PRODUCER_COUNT) CONSUMER_COUNT=$(CONSUMER_COUNT) MESSAGE_RATE=$(MESSAGE_RATE) MESSAGE_SIZE=$(MESSAGE_SIZE) VALUE_TYPE=$(VALUE_TYPE) $(DOCKER_COMPOSE) --profile loadtest up --abort-on-container-exit kafka-client-loadtest
@echo "$(GREEN)Load test completed!$(NC)"
@$(MAKE) show-results
quick-test: build-gateway ## Run a quick smoke test (1 min, low load, WITH schemas)
@echo "$(BLUE)================================================================$(NC)"
@echo "$(BLUE) Quick Test (Low Load, WITH Schema Registry + Avro) $(NC)"
@echo "$(BLUE) - Duration: 1 minute $(NC)"
@echo "$(BLUE) - Load: 1 producer × 10 msg/sec = 10 total msg/sec $(NC)"
@echo "$(BLUE) - Message Type: Avro (with schema encoding) $(NC)"
@echo "$(BLUE) - Schema-First: Registers schemas BEFORE producing $(NC)"
@echo "$(BLUE)================================================================$(NC)"
@echo ""
@$(MAKE) start
@echo ""
@echo "$(BLUE)=== Step 1: Registering schemas in Schema Registry ===$(NC)"
@echo "$(YELLOW)[WARN] IMPORTANT: Schemas MUST be registered before producing Avro messages!$(NC)"
@./scripts/register-schemas.sh full
@echo "$(GREEN)- Schemas registered successfully$(NC)"
@echo ""
@echo "$(BLUE)=== Step 2: Running load test with Avro messages ===$(NC)"
@$(MAKE) test \
TEST_MODE=comprehensive \
TEST_DURATION=60s \
PRODUCER_COUNT=1 \
CONSUMER_COUNT=1 \
MESSAGE_RATE=10 \
MESSAGE_SIZE=256 \
VALUE_TYPE=avro
@echo ""
@echo "$(GREEN)================================================================$(NC)"
@echo "$(GREEN) Quick Test Complete! $(NC)"
@echo "$(GREEN) - Schema Registration $(NC)"
@echo "$(GREEN) - Avro Message Production $(NC)"
@echo "$(GREEN) - Message Consumption $(NC)"
@echo "$(GREEN)================================================================$(NC)"
standard-test: ## Run a standard load test (2 min, medium load, WITH Schema Registry + Avro)
@echo "$(BLUE)================================================================$(NC)"
@echo "$(BLUE) Standard Test (Medium Load, WITH Schema Registry) $(NC)"
@echo "$(BLUE) - Duration: 2 minutes $(NC)"
@echo "$(BLUE) - Load: 2 producers × 50 msg/sec = 100 total msg/sec $(NC)"
@echo "$(BLUE) - Message Type: Avro (with schema encoding) $(NC)"
@echo "$(BLUE) - IMPORTANT: Schemas registered FIRST in Schema Registry $(NC)"
@echo "$(BLUE)================================================================$(NC)"
@echo ""
@$(MAKE) start
@echo ""
@echo "$(BLUE)=== Step 1: Registering schemas in Schema Registry ===$(NC)"
@echo "$(YELLOW)Note: Schemas MUST be registered before producing Avro messages!$(NC)"
@./scripts/register-schemas.sh full
@echo "$(GREEN)- Schemas registered$(NC)"
@echo ""
@echo "$(BLUE)=== Step 2: Running load test with Avro messages ===$(NC)"
@$(MAKE) test \
TEST_MODE=comprehensive \
TEST_DURATION=2m \
PRODUCER_COUNT=2 \
CONSUMER_COUNT=2 \
MESSAGE_RATE=50 \
MESSAGE_SIZE=512 \
VALUE_TYPE=avro
@echo ""
@echo "$(GREEN)================================================================$(NC)"
@echo "$(GREEN) Standard Test Complete! $(NC)"
@echo "$(GREEN)================================================================$(NC)"
stress-test: ## Run a stress test (10 minutes, high load) with schemas
@echo "$(BLUE)Starting stress test with schema registration...$(NC)"
@$(MAKE) start
@echo "$(BLUE)Registering schemas with Schema Registry...$(NC)"
@./scripts/register-schemas.sh full
@echo "$(BLUE)Running stress test with registered schemas...$(NC)"
@$(MAKE) test \
TEST_MODE=comprehensive \
TEST_DURATION=10m \
PRODUCER_COUNT=20 \
CONSUMER_COUNT=10 \
MESSAGE_RATE=2000 \
MESSAGE_SIZE=2048 \
VALUE_TYPE=avro
endurance-test: ## Run an endurance test (30 minutes, sustained load) with schemas
@echo "$(BLUE)Starting endurance test with schema registration...$(NC)"
@$(MAKE) start
@echo "$(BLUE)Registering schemas with Schema Registry...$(NC)"
@./scripts/register-schemas.sh full
@echo "$(BLUE)Running endurance test with registered schemas...$(NC)"
@$(MAKE) test \
TEST_MODE=comprehensive \
TEST_DURATION=30m \
PRODUCER_COUNT=10 \
CONSUMER_COUNT=5 \
MESSAGE_RATE=1000 \
MESSAGE_SIZE=1024 \
VALUE_TYPE=avro
producer-test: ## Run producer-only load test
@$(MAKE) test TEST_MODE=producer
consumer-test: ## Run consumer-only load test (requires existing messages)
@$(MAKE) test TEST_MODE=consumer
register-schemas: start ## Register schemas with Schema Registry
@echo "$(BLUE)Registering schemas with Schema Registry...$(NC)"
@./scripts/register-schemas.sh full
@echo "$(GREEN)Schema registration completed!$(NC)"
verify-schemas: ## Verify schemas are registered in Schema Registry
@echo "$(BLUE)Verifying schemas in Schema Registry...$(NC)"
@./scripts/register-schemas.sh verify
@echo "$(GREEN)Schema verification completed!$(NC)"
list-schemas: ## List all registered schemas in Schema Registry
@echo "$(BLUE)Listing registered schemas...$(NC)"
@./scripts/register-schemas.sh list
cleanup-schemas: ## Clean up test schemas from Schema Registry
@echo "$(YELLOW)Cleaning up test schemas...$(NC)"
@./scripts/register-schemas.sh cleanup
@echo "$(GREEN)Schema cleanup completed!$(NC)"
schema-test: start ## Run schema integration test (with Schema Registry)
@echo "$(BLUE)Running schema integration test...$(NC)"
@echo "Testing Schema Registry integration with schematized topics"
@echo ""
CGO_ENABLED=0 GOOS=linux GOARCH=amd64 go build -o schema-test-linux test_schema_integration.go
docker run --rm --network kafka-client-loadtest \
-v $(PWD)/schema-test-linux:/usr/local/bin/schema-test \
alpine:3.18 /usr/local/bin/schema-test
@rm -f schema-test-linux
@echo "$(GREEN)Schema integration test completed!$(NC)"
schema-quick-test: start ## Run quick schema test (lighter version)
@echo "$(BLUE)Running quick schema test...$(NC)"
@echo "Testing basic schema functionality"
@echo ""
CGO_ENABLED=0 GOOS=linux GOARCH=amd64 go build -o schema-test-linux test_schema_integration.go
timeout 60s docker run --rm --network kafka-client-loadtest \
-v $(PWD)/schema-test-linux:/usr/local/bin/schema-test \
alpine:3.18 /usr/local/bin/schema-test || true
@rm -f schema-test-linux
@echo "$(GREEN)Quick schema test completed!$(NC)"
simple-schema-test: start ## Run simple schema test (step-by-step)
@echo "$(BLUE)Running simple schema test...$(NC)"
@echo "Step-by-step schema functionality test"
@echo ""
@mkdir -p simple-test
@cp simple_schema_test.go simple-test/main.go
cd simple-test && CGO_ENABLED=0 GOOS=linux GOARCH=amd64 go build -o ../simple-schema-test-linux .
docker run --rm --network kafka-client-loadtest \
-v $(PWD)/simple-schema-test-linux:/usr/local/bin/simple-schema-test \
alpine:3.18 /usr/local/bin/simple-schema-test
@rm -f simple-schema-test-linux
@rm -rf simple-test
@echo "$(GREEN)Simple schema test completed!$(NC)"
basic-schema-test: start ## Run basic schema test (manual schema handling without Schema Registry)
@echo "$(BLUE)Running basic schema test...$(NC)"
@echo "Testing schema functionality without Schema Registry dependency"
@echo ""
@mkdir -p basic-test
@cp basic_schema_test.go basic-test/main.go
cd basic-test && CGO_ENABLED=0 GOOS=linux GOARCH=amd64 go build -o ../basic-schema-test-linux .
timeout 60s docker run --rm --network kafka-client-loadtest \
-v $(PWD)/basic-schema-test-linux:/usr/local/bin/basic-schema-test \
alpine:3.18 /usr/local/bin/basic-schema-test
@rm -f basic-schema-test-linux
@rm -rf basic-test
@echo "$(GREEN)Basic schema test completed!$(NC)"
schema-loadtest: start ## Run load test with schemas enabled
@echo "$(BLUE)Running schema-enabled load test...$(NC)"
@echo "Mode: comprehensive with schemas, Duration: 3m"
@echo "Producers: 3, Consumers: 2, Message Rate: 50 msgs/sec"
@echo ""
TEST_MODE=comprehensive \
TEST_DURATION=3m \
PRODUCER_COUNT=3 \
CONSUMER_COUNT=2 \
MESSAGE_RATE=50 \
MESSAGE_SIZE=1024 \
SCHEMA_REGISTRY_URL=http://schema-registry:8081 \
$(DOCKER_COMPOSE) --profile loadtest up --abort-on-container-exit kafka-client-loadtest
@echo "$(GREEN)Schema load test completed!$(NC)"
@$(MAKE) show-results
monitor: setup ## Start monitoring stack (Prometheus + Grafana)
@echo "$(BLUE)Starting monitoring stack...$(NC)"
$(DOCKER_COMPOSE) --profile monitoring up -d prometheus grafana
@echo "$(GREEN)Monitoring stack started!$(NC)"
@echo ""
@echo "Access points:"
@echo " Prometheus: http://localhost:9090"
@echo " Grafana: http://localhost:3000 (admin/admin)"
monitor-stop: ## Stop monitoring stack
@echo "$(BLUE)Stopping monitoring stack...$(NC)"
$(DOCKER_COMPOSE) --profile monitoring stop prometheus grafana
@echo "$(GREEN)Monitoring stack stopped$(NC)"
test-with-monitoring: monitor start ## Run test with monitoring enabled
@echo "$(BLUE)Running load test with monitoring...$(NC)"
@$(MAKE) test
@echo ""
@echo "$(GREEN)Test completed! Check the monitoring dashboards:$(NC)"
@echo " Prometheus: http://localhost:9090"
@echo " Grafana: http://localhost:3000 (admin/admin)"
show-results: ## Show test results
@echo "$(BLUE)Test Results Summary:$(NC)"
@if $(DOCKER_COMPOSE) ps -q kafka-client-loadtest-runner >/dev/null 2>&1; then \
$(DOCKER_COMPOSE) exec -T kafka-client-loadtest-runner curl -s http://localhost:8080/stats 2>/dev/null || echo "Results not available"; \
else \
echo "Load test container not running"; \
fi
@echo ""
@if [ -d "test-results" ]; then \
echo "Detailed results saved to: test-results/"; \
ls -la test-results/ 2>/dev/null || true; \
fi
health-check: ## Check health of all services
@echo "$(BLUE)Checking service health...$(NC)"
./scripts/wait-for-services.sh check
validate-setup: ## Validate the test setup
@echo "$(BLUE)Validating test setup...$(NC)"
@echo "Checking Docker and Docker Compose..."
@docker --version
@docker compose version || docker-compose --version
@echo ""
@echo "Checking configuration file..."
@if [ -f "$(CONFIG_FILE)" ]; then \
echo "- Configuration file exists: $(CONFIG_FILE)"; \
else \
echo "x Configuration file not found: $(CONFIG_FILE)"; \
exit 1; \
fi
@echo ""
@echo "Checking scripts..."
@for script in scripts/*.sh; do \
if [ -x "$$script" ]; then \
echo "- $$script is executable"; \
else \
echo "x $$script is not executable"; \
fi; \
done
@echo "$(GREEN)Setup validation completed$(NC)"
dev-env: ## Set up development environment
@echo "$(BLUE)Setting up development environment...$(NC)"
@echo "Installing Go dependencies..."
go mod download
go mod tidy
@echo "$(GREEN)Development environment ready$(NC)"
benchmark: ## Run comprehensive benchmarking suite
@echo "$(BLUE)Running comprehensive benchmark suite...$(NC)"
@echo "This will run multiple test scenarios and collect detailed metrics"
@echo ""
@$(MAKE) quick-test
@sleep 10
@$(MAKE) standard-test
@sleep 10
@$(MAKE) stress-test
@echo "$(GREEN)Benchmark suite completed!$(NC)"
# Advanced targets
debug: ## Start services in debug mode with verbose logging
@echo "$(BLUE)Starting services in debug mode...$(NC)"
SEAWEEDFS_LOG_LEVEL=debug \
KAFKA_LOG_LEVEL=debug \
$(DOCKER_COMPOSE) up \
seaweedfs-master \
seaweedfs-volume \
seaweedfs-filer \
seaweedfs-mq-broker \
kafka-gateway \
schema-registry
attach-loadtest: ## Attach to running load test container
$(DOCKER_COMPOSE) exec kafka-client-loadtest-runner /bin/sh
exec-master: ## Execute shell in SeaweedFS master container
$(DOCKER_COMPOSE) exec seaweedfs-master /bin/sh
exec-filer: ## Execute shell in SeaweedFS filer container
$(DOCKER_COMPOSE) exec seaweedfs-filer /bin/sh
exec-gateway: ## Execute shell in Kafka gateway container
$(DOCKER_COMPOSE) exec kafka-gateway /bin/sh
# Utility targets
ps: status ## Alias for status
up: start ## Alias for start
down: stop ## Alias for stop
# Help is the default target
.DEFAULT_GOAL := help

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# Kafka Client Load Test for SeaweedFS
This comprehensive load testing suite validates the SeaweedFS MQ stack using real Kafka client libraries. Unlike the existing SMQ tests, this uses actual Kafka clients (`sarama` and `confluent-kafka-go`) to test the complete integration through:
- **Kafka Clients** → **SeaweedFS Kafka Gateway** → **SeaweedFS MQ Broker** → **SeaweedFS Storage**
## Architecture
```
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────────┐
│ Kafka Client │ │ Kafka Gateway │ │ SeaweedFS MQ │
│ Load Test │───▶│ (Port 9093) │───▶│ Broker │
│ - Producers │ │ │ │ │
│ - Consumers │ │ Protocol │ │ Topic Management │
│ │ │ Translation │ │ Message Storage │
└─────────────────┘ └──────────────────┘ └─────────────────────┘
│
▼
┌─────────────────────┐
│ SeaweedFS Storage │
│ - Master │
│ - Volume Server │
│ - Filer │
└─────────────────────┘
```
## Features
### 🚀 **Multiple Test Modes**
- **Producer-only**: Pure message production testing
- **Consumer-only**: Consumption from existing topics
- **Comprehensive**: Full producer + consumer load testing
### 📊 **Rich Metrics & Monitoring**
- Prometheus metrics collection
- Grafana dashboards
- Real-time throughput and latency tracking
- Consumer lag monitoring
- Error rate analysis
### 🔧 **Configurable Test Scenarios**
- **Quick Test**: 1-minute smoke test
- **Standard Test**: 5-minute medium load
- **Stress Test**: 10-minute high load
- **Endurance Test**: 30-minute sustained load
- **Custom**: Fully configurable parameters
### 📈 **Message Types**
- **JSON**: Structured test messages
- **Avro**: Schema Registry integration
- **Binary**: Raw binary payloads
### 🛠 **Kafka Client Support**
- **Sarama**: Native Go Kafka client
- **Confluent**: Official Confluent Go client
- Schema Registry integration
- Consumer group management
## Quick Start
### Prerequisites
- Docker & Docker Compose
- Make (optional, but recommended)
### 1. Run Default Test
```bash
make test
```
This runs a 5-minute comprehensive test with 10 producers and 5 consumers.
### 2. Quick Smoke Test
```bash
make quick-test
```
1-minute test with minimal load for validation.
### 3. Stress Test
```bash
make stress-test
```
10-minute high-throughput test with 20 producers and 10 consumers.
### 4. Test with Monitoring
```bash
make test-with-monitoring
```
Includes Prometheus + Grafana dashboards for real-time monitoring.
## Detailed Usage
### Manual Control
```bash
# Start infrastructure only
make start
# Run load test against running infrastructure
make test TEST_MODE=comprehensive TEST_DURATION=10m
# Stop everything
make stop
# Clean up all resources
make clean
```
### Using Scripts Directly
```bash
# Full control with the main script
./scripts/run-loadtest.sh start -m comprehensive -d 10m --monitoring
# Check service health
./scripts/wait-for-services.sh check
# Setup monitoring configurations
./scripts/setup-monitoring.sh
```
### Environment Variables
```bash
export TEST_MODE=comprehensive # producer, consumer, comprehensive
export TEST_DURATION=300s # Test duration
export PRODUCER_COUNT=10 # Number of producer instances
export CONSUMER_COUNT=5 # Number of consumer instances
export MESSAGE_RATE=1000 # Messages/second per producer
export MESSAGE_SIZE=1024 # Message size in bytes
export TOPIC_COUNT=5 # Number of topics to create
export PARTITIONS_PER_TOPIC=3 # Partitions per topic
make test
```
## Configuration
### Main Configuration File
Edit `config/loadtest.yaml` to customize:
- **Kafka Settings**: Bootstrap servers, security, timeouts
- **Producer Config**: Batching, compression, acknowledgments
- **Consumer Config**: Group settings, fetch parameters
- **Message Settings**: Size, format (JSON/Avro/Binary)
- **Schema Registry**: Avro/Protobuf schema validation
- **Metrics**: Prometheus collection intervals
- **Test Scenarios**: Predefined load patterns
### Example Custom Configuration
```yaml
test_mode: "comprehensive"
duration: "600s" # 10 minutes
producers:
count: 15
message_rate: 2000
message_size: 2048
compression_type: "snappy"
acks: "all"
consumers:
count: 8
group_prefix: "high-load-group"
max_poll_records: 1000
topics:
count: 10
partitions: 6
replication_factor: 1
```
## Test Scenarios
### 1. Producer Performance Test
```bash
make producer-test TEST_DURATION=10m PRODUCER_COUNT=20 MESSAGE_RATE=3000
```
Tests maximum message production throughput.
### 2. Consumer Performance Test
```bash
# First produce messages
make producer-test TEST_DURATION=5m
# Then test consumption
make consumer-test TEST_DURATION=10m CONSUMER_COUNT=15
```
### 3. Schema Registry Integration
```bash
# Enable schemas in config/loadtest.yaml
schemas:
enabled: true
make test
```
Tests Avro message serialization through Schema Registry.
### 4. High Availability Test
```bash
# Test with container restarts during load
make test TEST_DURATION=20m &
sleep 300
docker restart kafka-gateway
```
## Monitoring & Metrics
### Real-Time Dashboards
When monitoring is enabled:
- **Prometheus**: http://localhost:9090
- **Grafana**: http://localhost:3000 (admin/admin)
### Key Metrics Tracked
- **Throughput**: Messages/second, MB/second
- **Latency**: End-to-end message latency percentiles
- **Errors**: Producer/consumer error rates
- **Consumer Lag**: Per-partition lag monitoring
- **Resource Usage**: CPU, memory, disk I/O
### Grafana Dashboards
- **Kafka Load Test**: Comprehensive test metrics
- **SeaweedFS Cluster**: Storage system health
- **Custom Dashboards**: Extensible monitoring
## Advanced Features
### Schema Registry Testing
```bash
# Test Avro message serialization
export KAFKA_VALUE_TYPE=avro
make test
```
The load test includes:
- Schema registration
- Avro message encoding/decoding
- Schema evolution testing
- Compatibility validation
### Multi-Client Testing
The test supports both Sarama and Confluent clients:
```go
// Configure in producer/consumer code
useConfluent := true // Switch client implementation
```
### Consumer Group Rebalancing
- Automatic consumer group management
- Partition rebalancing simulation
- Consumer failure recovery testing
### Chaos Testing
```yaml
chaos:
enabled: true
producer_failure_rate: 0.01
consumer_failure_rate: 0.01
network_partition_probability: 0.001
```
## Troubleshooting
### Common Issues
#### Services Not Starting
```bash
# Check service health
make health-check
# View detailed logs
make logs
# Debug mode
make debug
```
#### Low Throughput
- Increase `MESSAGE_RATE` and `PRODUCER_COUNT`
- Adjust `batch_size` and `linger_ms` in config
- Check consumer `max_poll_records` setting
#### High Latency
- Reduce `linger_ms` for lower latency
- Adjust `acks` setting (0, 1, or "all")
- Monitor consumer lag
#### Memory Issues
```bash
# Reduce concurrent clients
make test PRODUCER_COUNT=5 CONSUMER_COUNT=3
# Adjust message size
make test MESSAGE_SIZE=512
```
### Debug Commands
```bash
# Execute shell in containers
make exec-master
make exec-filer
make exec-gateway
# Attach to load test
make attach-loadtest
# View real-time stats
curl http://localhost:8080/stats
```
## Development
### Building from Source
```bash
# Set up development environment
make dev-env
# Build load test binary
make build
# Run tests locally (requires Go 1.26+)
cd cmd/loadtest && go run main.go -config ../../config/loadtest.yaml
```
### Extending the Tests
1. **Add new message formats** in `internal/producer/`
2. **Add custom metrics** in `internal/metrics/`
3. **Create new test scenarios** in `config/loadtest.yaml`
4. **Add monitoring panels** in `monitoring/grafana/dashboards/`
### Contributing
1. Fork the repository
2. Create a feature branch
3. Add tests for new functionality
4. Ensure all tests pass: `make test`
5. Submit a pull request
## Performance Benchmarks
### Expected Performance (on typical hardware)
| Scenario | Producers | Consumers | Rate (msg/s) | Latency (p95) |
|----------|-----------|-----------|--------------|---------------|
| Quick | 2 | 2 | 200 | <10ms |
| Standard | 5 | 3 | 2,500 | <20ms |
| Stress | 20 | 10 | 40,000 | <50ms |
| Endurance| 10 | 5 | 10,000 | <30ms |
*Results vary based on hardware, network, and SeaweedFS configuration*
### Tuning for Maximum Performance
```yaml
producers:
batch_size: 1000
linger_ms: 10
compression_type: "lz4"
acks: "1" # Balance between speed and durability
consumers:
max_poll_records: 5000
fetch_min_bytes: 1048576 # 1MB
fetch_max_wait_ms: 100
```
## Comparison with Existing Tests
| Feature | SMQ Tests | **Kafka Client Load Test** |
|---------|-----------|----------------------------|
| Protocol | SMQ (SeaweedFS native) | **Kafka (industry standard)** |
| Clients | SMQ clients | **Real Kafka clients (Sarama, Confluent)** |
| Schema Registry | ❌ | **✅ Full Avro/Protobuf support** |
| Consumer Groups | Basic | **✅ Full Kafka consumer group features** |
| Monitoring | Basic | **✅ Prometheus + Grafana dashboards** |
| Test Scenarios | Limited | **✅ Multiple predefined scenarios** |
| Real-world | Synthetic | **✅ Production-like workloads** |
This load test provides comprehensive validation of the SeaweedFS Kafka Gateway using real-world Kafka clients and protocols.
---
## Quick Reference
```bash
# Essential Commands
make help # Show all available commands
make test # Run default comprehensive test
make quick-test # 1-minute smoke test
make stress-test # High-load stress test
make test-with-monitoring # Include Grafana dashboards
make clean # Clean up all resources
# Monitoring
make monitor # Start Prometheus + Grafana
# → http://localhost:9090 (Prometheus)
# → http://localhost:3000 (Grafana, admin/admin)
# Advanced
make benchmark # Run full benchmark suite
make health-check # Validate service health
make validate-setup # Check configuration
```

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import org.apache.kafka.clients.consumer.*;
import org.apache.kafka.clients.consumer.internals.*;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.serialization.ByteArrayDeserializer;
import org.apache.kafka.common.errors.TimeoutException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.*;
/**
* Enhanced test program to reproduce and diagnose the seekToBeginning() hang issue
*
* This test:
* 1. Adds detailed logging of Kafka client operations
* 2. Captures exceptions and timeouts
* 3. Shows what the consumer is waiting for
* 4. Tracks request/response lifecycle
*/
public class SeekToBeginningTest {
private static final Logger log = LoggerFactory.getLogger(SeekToBeginningTest.class);
public static void main(String[] args) throws Exception {
String bootstrapServers = "localhost:9093";
String topicName = "_schemas";
if (args.length > 0) {
bootstrapServers = args[0];
}
Properties props = new Properties();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ConsumerConfig.GROUP_ID_CONFIG, "test-seek-group");
props.put(ConsumerConfig.CLIENT_ID_CONFIG, "test-seek-client");
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "false");
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, ByteArrayDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, ByteArrayDeserializer.class);
props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "45000");
props.put(ConsumerConfig.REQUEST_TIMEOUT_MS_CONFIG, "60000");
// Add comprehensive debug logging
props.put("log4j.logger.org.apache.kafka.clients.consumer.internals", "DEBUG");
props.put("log4j.logger.org.apache.kafka.clients.producer.internals", "DEBUG");
props.put("log4j.logger.org.apache.kafka.clients.Metadata", "DEBUG");
// Add shorter timeouts to fail faster
props.put(ConsumerConfig.DEFAULT_API_TIMEOUT_MS_CONFIG, "10000"); // 10 seconds instead of 60
System.out.println("\n╔════════════════════════════════════════════════════════════╗");
System.out.println("║ SeekToBeginning Diagnostic Test ║");
System.out.println(String.format("║ Connecting to: %-42s║", bootstrapServers));
System.out.println("╚════════════════════════════════════════════════════════════╝\n");
System.out.println("[TEST] Creating KafkaConsumer...");
System.out.println("[TEST] Bootstrap servers: " + bootstrapServers);
System.out.println("[TEST] Group ID: test-seek-group");
System.out.println("[TEST] Client ID: test-seek-client");
KafkaConsumer<byte[], byte[]> consumer = new KafkaConsumer<>(props);
TopicPartition tp = new TopicPartition(topicName, 0);
List<TopicPartition> partitions = Arrays.asList(tp);
System.out.println("\n[STEP 1] Assigning to partition: " + tp);
consumer.assign(partitions);
System.out.println("[STEP 1] ✓ Assigned successfully");
System.out.println("\n[STEP 2] Calling seekToBeginning()...");
long startTime = System.currentTimeMillis();
try {
consumer.seekToBeginning(partitions);
long seekTime = System.currentTimeMillis() - startTime;
System.out.println("[STEP 2] ✓ seekToBeginning() completed in " + seekTime + "ms");
} catch (Exception e) {
System.out.println("[STEP 2] ✗ EXCEPTION in seekToBeginning():");
e.printStackTrace();
consumer.close();
return;
}
System.out.println("\n[STEP 3] Starting poll loop...");
System.out.println("[STEP 3] First poll will trigger offset lookup (ListOffsets)");
System.out.println("[STEP 3] Then will fetch initial records\n");
int successfulPolls = 0;
int failedPolls = 0;
int totalRecords = 0;
for (int i = 0; i < 3; i++) {
System.out.println("═══════════════════════════════════════════════════════════");
System.out.println("[POLL " + (i + 1) + "] Starting poll with 15-second timeout...");
long pollStart = System.currentTimeMillis();
try {
System.out.println("[POLL " + (i + 1) + "] Calling consumer.poll()...");
ConsumerRecords<byte[], byte[]> records = consumer.poll(java.time.Duration.ofSeconds(15));
long pollTime = System.currentTimeMillis() - pollStart;
System.out.println("[POLL " + (i + 1) + "] ✓ Poll completed in " + pollTime + "ms");
System.out.println("[POLL " + (i + 1) + "] Records received: " + records.count());
if (records.count() > 0) {
successfulPolls++;
totalRecords += records.count();
for (ConsumerRecord<byte[], byte[]> record : records) {
System.out.println(" [RECORD] offset=" + record.offset() +
", key.len=" + (record.key() != null ? record.key().length : 0) +
", value.len=" + (record.value() != null ? record.value().length : 0));
}
} else {
System.out.println("[POLL " + (i + 1) + "] ℹ No records in this poll (but no error)");
successfulPolls++;
}
} catch (TimeoutException e) {
long pollTime = System.currentTimeMillis() - pollStart;
failedPolls++;
System.out.println("[POLL " + (i + 1) + "] ✗ TIMEOUT after " + pollTime + "ms");
System.out.println("[POLL " + (i + 1) + "] This means consumer is waiting for something from broker");
System.out.println("[POLL " + (i + 1) + "] Possible causes:");
System.out.println(" - ListOffsetsRequest never sent");
System.out.println(" - ListOffsetsResponse not received");
System.out.println(" - Broker metadata parsing failed");
System.out.println(" - Connection issue");
// Print current position info if available
try {
long position = consumer.position(tp);
System.out.println("[POLL " + (i + 1) + "] Current position: " + position);
} catch (Exception e2) {
System.out.println("[POLL " + (i + 1) + "] Could not get position: " + e2.getMessage());
}
} catch (Exception e) {
failedPolls++;
long pollTime = System.currentTimeMillis() - pollStart;
System.out.println("[POLL " + (i + 1) + "] ✗ EXCEPTION after " + pollTime + "ms:");
System.out.println("[POLL " + (i + 1) + "] Exception type: " + e.getClass().getSimpleName());
System.out.println("[POLL " + (i + 1) + "] Message: " + e.getMessage());
// Print stack trace for first exception
if (i == 0) {
System.out.println("[POLL " + (i + 1) + "] Stack trace:");
e.printStackTrace();
}
}
}
System.out.println("\n═══════════════════════════════════════════════════════════");
System.out.println("[RESULTS] Test Summary:");
System.out.println(" Successful polls: " + successfulPolls);
System.out.println(" Failed polls: " + failedPolls);
System.out.println(" Total records received: " + totalRecords);
if (failedPolls > 0) {
System.out.println("\n[DIAGNOSIS] Consumer is BLOCKED during poll()");
System.out.println(" This indicates the consumer cannot:");
System.out.println(" 1. Send ListOffsetsRequest to determine offset 0, OR");
System.out.println(" 2. Receive/parse ListOffsetsResponse from broker, OR");
System.out.println(" 3. Parse broker metadata for partition leader lookup");
} else if (totalRecords == 0) {
System.out.println("\n[DIAGNOSIS] Consumer is working but NO records found");
System.out.println(" This might mean:");
System.out.println(" 1. Topic has no messages, OR");
System.out.println(" 2. Fetch is working but broker returns empty");
} else {
System.out.println("\n[SUCCESS] Consumer working correctly!");
System.out.println(" Received " + totalRecords + " records");
}
System.out.println("\n[CLEANUP] Closing consumer...");
try {
consumer.close();
System.out.println("[CLEANUP] ✓ Consumer closed successfully");
} catch (Exception e) {
System.out.println("[CLEANUP] ✗ Error closing consumer: " + e.getMessage());
}
System.out.println("\n[TEST] Done!\n");
}
}

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package main
import (
"bytes"
"context"
"encoding/json"
"flag"
"fmt"
"io"
"log"
"net/http"
"os"
"os/signal"
"strings"
"sync"
"syscall"
"time"
"github.com/prometheus/client_golang/prometheus/promhttp"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/config"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/consumer"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/metrics"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/producer"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/tracker"
)
var (
configFile = flag.String("config", "/config/loadtest.yaml", "Path to configuration file")
testMode = flag.String("mode", "", "Test mode override (producer|consumer|comprehensive)")
duration = flag.Duration("duration", 0, "Test duration override")
help = flag.Bool("help", false, "Show help")
)
func main() {
flag.Parse()
if *help {
printHelp()
return
}
// Load configuration
cfg, err := config.Load(*configFile)
if err != nil {
log.Fatalf("Failed to load configuration: %v", err)
}
// Override configuration with environment variables and flags
cfg.ApplyOverrides(*testMode, *duration)
// Initialize metrics
metricsCollector := metrics.NewCollector()
// Start metrics HTTP server
go func() {
http.Handle("/metrics", promhttp.Handler())
http.HandleFunc("/health", healthCheck)
http.HandleFunc("/stats", func(w http.ResponseWriter, r *http.Request) {
metricsCollector.WriteStats(w)
})
log.Printf("Starting metrics server on :8080")
if err := http.ListenAndServe(":8080", nil); err != nil {
log.Printf("Metrics server error: %v", err)
}
}()
// Set up signal handling
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
sigCh := make(chan os.Signal, 1)
signal.Notify(sigCh, syscall.SIGINT, syscall.SIGTERM)
log.Printf("Starting Kafka Client Load Test")
log.Printf("Mode: %s, Duration: %v", cfg.TestMode, cfg.Duration)
log.Printf("Kafka Brokers: %v", cfg.Kafka.BootstrapServers)
log.Printf("Schema Registry: %s", cfg.SchemaRegistry.URL)
log.Printf("Schemas Enabled: %v", cfg.Schemas.Enabled)
// Register schemas if enabled
if cfg.Schemas.Enabled {
log.Printf("Registering schemas with Schema Registry...")
if err := registerSchemas(cfg); err != nil {
log.Fatalf("Failed to register schemas: %v", err)
}
log.Printf("Schemas registered successfully")
}
var wg sync.WaitGroup
// Start test based on mode
var testErr error
switch cfg.TestMode {
case "producer":
testErr = runProducerTest(ctx, cfg, metricsCollector, &wg)
case "consumer":
testErr = runConsumerTest(ctx, cfg, metricsCollector, &wg)
case "comprehensive":
testErr = runComprehensiveTest(ctx, cancel, cfg, metricsCollector, &wg)
default:
log.Fatalf("Unknown test mode: %s", cfg.TestMode)
}
// If test returned an error (e.g., circuit breaker), exit
if testErr != nil {
log.Printf("Test failed with error: %v", testErr)
cancel() // Cancel context to stop any remaining goroutines
return
}
// Wait for completion or signal
done := make(chan struct{})
go func() {
wg.Wait()
close(done)
}()
select {
case <-sigCh:
log.Printf("Received shutdown signal, stopping tests...")
cancel()
// Wait for graceful shutdown with timeout
shutdownCtx, shutdownCancel := context.WithTimeout(context.Background(), 30*time.Second)
defer shutdownCancel()
select {
case <-done:
log.Printf("All tests completed gracefully")
case <-shutdownCtx.Done():
log.Printf("Shutdown timeout, forcing exit")
}
case <-done:
log.Printf("All tests completed")
}
// Print final statistics
log.Printf("Final Test Statistics:")
metricsCollector.PrintSummary()
}
func runProducerTest(ctx context.Context, cfg *config.Config, collector *metrics.Collector, wg *sync.WaitGroup) error {
log.Printf("Starting producer-only test with %d producers", cfg.Producers.Count)
// Create record tracker with current timestamp to filter old messages
testStartTime := time.Now().UnixNano()
recordTracker := tracker.NewTracker("/test-results/produced.jsonl", "/test-results/consumed.jsonl", testStartTime)
errChan := make(chan error, cfg.Producers.Count)
for i := 0; i < cfg.Producers.Count; i++ {
wg.Add(1)
go func(id int) {
defer wg.Done()
prod, err := producer.New(cfg, collector, id, recordTracker)
if err != nil {
log.Printf("Failed to create producer %d: %v", id, err)
errChan <- err
return
}
defer prod.Close()
if err := prod.Run(ctx); err != nil {
log.Printf("Producer %d failed: %v", id, err)
errChan <- err
return
}
}(i)
}
// Wait for any producer error
select {
case err := <-errChan:
log.Printf("Producer test failed: %v", err)
return err
default:
return nil
}
}
func runConsumerTest(ctx context.Context, cfg *config.Config, collector *metrics.Collector, wg *sync.WaitGroup) error {
log.Printf("Starting consumer-only test with %d consumers", cfg.Consumers.Count)
// Create record tracker with current timestamp to filter old messages
testStartTime := time.Now().UnixNano()
recordTracker := tracker.NewTracker("/test-results/produced.jsonl", "/test-results/consumed.jsonl", testStartTime)
errChan := make(chan error, cfg.Consumers.Count)
for i := 0; i < cfg.Consumers.Count; i++ {
wg.Add(1)
go func(id int) {
defer wg.Done()
cons, err := consumer.New(cfg, collector, id, recordTracker)
if err != nil {
log.Printf("Failed to create consumer %d: %v", id, err)
errChan <- err
return
}
defer cons.Close()
cons.Run(ctx)
}(i)
}
// Consumers don't typically return errors in the same way, so just return nil
return nil
}
func runComprehensiveTest(ctx context.Context, cancel context.CancelFunc, cfg *config.Config, collector *metrics.Collector, wg *sync.WaitGroup) error {
log.Printf("Starting comprehensive test with %d producers and %d consumers",
cfg.Producers.Count, cfg.Consumers.Count)
// Create record tracker with current timestamp to filter old messages
testStartTime := time.Now().UnixNano()
log.Printf("Test run starting at %d - only tracking messages from this run", testStartTime)
recordTracker := tracker.NewTracker("/test-results/produced.jsonl", "/test-results/consumed.jsonl", testStartTime)
errChan := make(chan error, cfg.Producers.Count)
// Create separate contexts for producers and consumers
producerCtx, producerCancel := context.WithCancel(ctx)
consumerCtx, consumerCancel := context.WithCancel(ctx)
// Start producers
for i := 0; i < cfg.Producers.Count; i++ {
wg.Add(1)
go func(id int) {
defer wg.Done()
prod, err := producer.New(cfg, collector, id, recordTracker)
if err != nil {
log.Printf("Failed to create producer %d: %v", id, err)
errChan <- err
return
}
defer prod.Close()
if err := prod.Run(producerCtx); err != nil {
log.Printf("Producer %d failed: %v", id, err)
errChan <- err
return
}
}(i)
}
// Wait briefly for producers to start producing messages
// Reduced from 5s to 2s to minimize message backlog
time.Sleep(2 * time.Second)
// Start consumers
// NOTE: With unique ClientIDs, all consumers can start simultaneously without connection storms
for i := 0; i < cfg.Consumers.Count; i++ {
wg.Add(1)
go func(id int) {
defer wg.Done()
cons, err := consumer.New(cfg, collector, id, recordTracker)
if err != nil {
log.Printf("Failed to create consumer %d: %v", id, err)
return
}
defer cons.Close()
cons.Run(consumerCtx)
}(i)
}
// Check for producer errors
select {
case err := <-errChan:
log.Printf("Comprehensive test failed due to producer error: %v", err)
producerCancel()
consumerCancel()
return err
default:
// No immediate error, continue
}
// If duration is set, stop producers first, then allow consumers extra time to drain
if cfg.Duration > 0 {
go func() {
timer := time.NewTimer(cfg.Duration)
defer timer.Stop()
select {
case <-timer.C:
log.Printf("Test duration (%v) reached, stopping producers", cfg.Duration)
producerCancel()
// Allow consumers extra time to drain remaining messages
// Calculate drain time based on test duration (minimum 60s, up to test duration)
drainTime := 60 * time.Second
if cfg.Duration > drainTime {
drainTime = cfg.Duration // Match test duration for longer tests
}
log.Printf("Allowing %v for consumers to drain remaining messages...", drainTime)
time.Sleep(drainTime)
log.Printf("Stopping consumers after drain period")
consumerCancel()
cancel()
case <-ctx.Done():
// Context already cancelled
producerCancel()
consumerCancel()
}
}()
} else {
// No duration set, wait for cancellation and ensure cleanup
go func() {
<-ctx.Done()
producerCancel()
consumerCancel()
}()
}
// Wait for all producer and consumer goroutines to complete
log.Printf("Waiting for all producers and consumers to complete...")
wg.Wait()
log.Printf("All producers and consumers completed, starting verification...")
// Save produced and consumed records
log.Printf("Saving produced records...")
if err := recordTracker.SaveProduced(); err != nil {
log.Printf("Failed to save produced records: %v", err)
}
log.Printf("Saving consumed records...")
if err := recordTracker.SaveConsumed(); err != nil {
log.Printf("Failed to save consumed records: %v", err)
}
// Compare records
log.Printf("Comparing produced vs consumed records...")
result := recordTracker.Compare()
result.PrintSummary()
log.Printf("Verification complete!")
return nil
}
func healthCheck(w http.ResponseWriter, r *http.Request) {
w.WriteHeader(http.StatusOK)
fmt.Fprint(w, "OK")
}
func printHelp() {
fmt.Printf(`Kafka Client Load Test for SeaweedFS
Usage: %s [options]
Options:
-config string
Path to configuration file (default "/config/loadtest.yaml")
-mode string
Test mode override (producer|consumer|comprehensive)
-duration duration
Test duration override
-help
Show this help message
Environment Variables:
KAFKA_BOOTSTRAP_SERVERS Comma-separated list of Kafka brokers
SCHEMA_REGISTRY_URL URL of the Schema Registry
TEST_DURATION Test duration (e.g., "5m", "300s")
TEST_MODE Test mode (producer|consumer|comprehensive)
PRODUCER_COUNT Number of producer instances
CONSUMER_COUNT Number of consumer instances
MESSAGE_RATE Messages per second per producer
MESSAGE_SIZE Message size in bytes
TOPIC_COUNT Number of topics to create
PARTITIONS_PER_TOPIC Number of partitions per topic
VALUE_TYPE Message value type (json/avro/binary)
Test Modes:
producer - Run only producers (generate load)
consumer - Run only consumers (consume existing messages)
comprehensive - Run both producers and consumers simultaneously
Example:
%s -config ./config/loadtest.yaml -mode comprehensive -duration 10m
`, os.Args[0], os.Args[0])
}
// registerSchemas registers schemas with Schema Registry for all topics
func registerSchemas(cfg *config.Config) error {
// Wait for Schema Registry to be ready
if err := waitForSchemaRegistry(cfg.SchemaRegistry.URL); err != nil {
return fmt.Errorf("schema registry not ready: %w", err)
}
// Register schemas for each topic with different formats for variety
topics := cfg.GetTopicNames()
// Determine schema formats - use different formats for different topics
// This provides comprehensive testing of all schema format variations
for i, topic := range topics {
var schemaFormat string
// Distribute topics across three schema formats for comprehensive testing
// Format 0: AVRO (default, most common)
// Format 1: JSON (modern, human-readable)
// Format 2: PROTOBUF (efficient binary format)
switch i % 3 {
case 0:
schemaFormat = "AVRO"
case 1:
schemaFormat = "JSON"
case 2:
schemaFormat = "PROTOBUF"
}
// Allow override from config if specified
if cfg.Producers.SchemaFormat != "" {
schemaFormat = cfg.Producers.SchemaFormat
}
if err := registerTopicSchema(cfg.SchemaRegistry.URL, topic, schemaFormat); err != nil {
return fmt.Errorf("failed to register schema for topic %s (format: %s): %w", topic, schemaFormat, err)
}
log.Printf("Schema registered for topic %s with format: %s", topic, schemaFormat)
}
return nil
}
// waitForSchemaRegistry waits for Schema Registry to be ready
func waitForSchemaRegistry(url string) error {
maxRetries := 30
for i := 0; i < maxRetries; i++ {
resp, err := http.Get(url + "/subjects")
if err == nil && resp.StatusCode == 200 {
resp.Body.Close()
return nil
}
if resp != nil {
resp.Body.Close()
}
time.Sleep(2 * time.Second)
}
return fmt.Errorf("schema registry not ready after %d retries", maxRetries)
}
// registerTopicSchema registers a schema for a specific topic
func registerTopicSchema(registryURL, topicName, schemaFormat string) error {
// Determine schema format, default to AVRO
if schemaFormat == "" {
schemaFormat = "AVRO"
}
var schemaStr string
var schemaType string
switch strings.ToUpper(schemaFormat) {
case "AVRO":
schemaStr = schema.GetAvroSchema()
schemaType = "AVRO"
case "JSON", "JSON_SCHEMA":
schemaStr = schema.GetJSONSchema()
schemaType = "JSON"
case "PROTOBUF":
schemaStr = schema.GetProtobufSchema()
schemaType = "PROTOBUF"
default:
return fmt.Errorf("unsupported schema format: %s", schemaFormat)
}
schemaReq := map[string]interface{}{
"schema": schemaStr,
"schemaType": schemaType,
}
jsonData, err := json.Marshal(schemaReq)
if err != nil {
return err
}
// Register schema for topic value
subject := topicName + "-value"
url := fmt.Sprintf("%s/subjects/%s/versions", registryURL, subject)
client := &http.Client{Timeout: 10 * time.Second}
resp, err := client.Post(url, "application/vnd.schemaregistry.v1+json", bytes.NewBuffer(jsonData))
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != 200 {
body, _ := io.ReadAll(resp.Body)
return fmt.Errorf("schema registration failed: status=%d, body=%s", resp.StatusCode, string(body))
}
log.Printf("Schema registered for topic %s (format: %s)", topicName, schemaType)
return nil
}

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@@ -0,0 +1,169 @@
# Kafka Client Load Test Configuration
# Test execution settings
test_mode: "comprehensive" # producer, consumer, comprehensive
duration: "60s" # Test duration (0 = run indefinitely) - producers will stop at this time, consumers get +120s to drain
# Kafka cluster configuration
kafka:
bootstrap_servers:
- "kafka-gateway:9093"
# Security settings (if needed)
security_protocol: "PLAINTEXT" # PLAINTEXT, SSL, SASL_PLAINTEXT, SASL_SSL
sasl_mechanism: "" # PLAIN, SCRAM-SHA-256, SCRAM-SHA-512
sasl_username: ""
sasl_password: ""
# Schema Registry configuration
schema_registry:
url: "http://schema-registry:8081"
auth:
username: ""
password: ""
# Producer configuration
producers:
count: 10 # Number of producer instances
message_rate: 1000 # Messages per second per producer
message_size: 1024 # Message size in bytes
batch_size: 100 # Batch size for batching
linger_ms: 5 # Time to wait for batching
compression_type: "snappy" # none, gzip, snappy, lz4, zstd
acks: "all" # 0, 1, all
retries: 3
retry_backoff_ms: 100
request_timeout_ms: 30000
delivery_timeout_ms: 120000
# Message generation settings
key_distribution: "random" # random, sequential, uuid
value_type: "avro" # json, avro, protobuf, binary
schema_format: "" # AVRO, JSON, PROTOBUF - schema registry format (when schemas enabled)
# Leave empty to auto-distribute formats across topics for testing:
# topic-0: AVRO, topic-1: JSON, topic-2: PROTOBUF, topic-3: AVRO, topic-4: JSON
# Set to specific format (e.g. "AVRO") to use same format for all topics
include_timestamp: true
include_headers: true
# Consumer configuration
consumers:
count: 5 # Number of consumer instances
group_prefix: "loadtest-group" # Consumer group prefix
auto_offset_reset: "earliest" # earliest, latest
enable_auto_commit: true
auto_commit_interval_ms: 100 # Reduced from 1000ms to 100ms to minimize duplicate window
session_timeout_ms: 30000
heartbeat_interval_ms: 3000
max_poll_records: 500
max_poll_interval_ms: 300000
fetch_min_bytes: 1
fetch_max_bytes: 52428800 # 50MB
fetch_max_wait_ms: 100 # 100ms - very fast polling for concurrent fetches and quick drain
# Topic configuration
topics:
count: 5 # Number of topics to create/use
prefix: "loadtest-topic" # Topic name prefix
partitions: 4 # Partitions per topic (default: 4)
replication_factor: 1 # Replication factor
cleanup_policy: "delete" # delete, compact
retention_ms: 604800000 # 7 days
segment_ms: 86400000 # 1 day
# Schema configuration (for Avro/Protobuf tests)
schemas:
enabled: true
registry_timeout_ms: 10000
# Test schemas
user_event:
type: "avro"
schema: |
{
"type": "record",
"name": "UserEvent",
"namespace": "com.seaweedfs.test",
"fields": [
{"name": "user_id", "type": "string"},
{"name": "event_type", "type": "string"},
{"name": "timestamp", "type": "long"},
{"name": "properties", "type": {"type": "map", "values": "string"}}
]
}
transaction:
type: "avro"
schema: |
{
"type": "record",
"name": "Transaction",
"namespace": "com.seaweedfs.test",
"fields": [
{"name": "transaction_id", "type": "string"},
{"name": "amount", "type": "double"},
{"name": "currency", "type": "string"},
{"name": "merchant_id", "type": "string"},
{"name": "timestamp", "type": "long"}
]
}
# Metrics and monitoring
metrics:
enabled: true
collection_interval: "10s"
prometheus_port: 8080
# What to measure
track_latency: true
track_throughput: true
track_errors: true
track_consumer_lag: true
# Latency percentiles to track
latency_percentiles: [50, 90, 95, 99, 99.9]
# Load test scenarios
scenarios:
# Steady state load test
steady_load:
producer_rate: 1000 # messages/sec per producer
ramp_up_time: "30s"
steady_duration: "240s"
ramp_down_time: "30s"
# Burst load test
burst_load:
base_rate: 500
burst_rate: 5000
burst_duration: "10s"
burst_interval: "60s"
# Gradual ramp test
ramp_test:
start_rate: 100
end_rate: 2000
ramp_duration: "300s"
step_duration: "30s"
# Error injection (for resilience testing)
chaos:
enabled: false
producer_failure_rate: 0.01 # 1% of producers fail randomly
consumer_failure_rate: 0.01 # 1% of consumers fail randomly
network_partition_probability: 0.001 # Network issues
broker_restart_interval: "0s" # Restart brokers periodically (0s = disabled)
# Output and reporting
output:
results_dir: "/test-results"
export_prometheus: true
export_csv: true
export_json: true
real_time_stats: true
stats_interval: "30s"
# Logging
logging:
level: "info" # debug, info, warn, error
format: "text" # text, json
enable_kafka_logs: false # Enable Kafka client debug logs

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@@ -0,0 +1,46 @@
version: '3.8'
services:
zookeeper:
image: confluentinc/cp-zookeeper:7.5.0
hostname: zookeeper
container_name: compare-zookeeper
ports:
- "2181:2181"
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_TICK_TIME: 2000
kafka:
image: confluentinc/cp-kafka:7.5.0
hostname: kafka
container_name: compare-kafka
depends_on:
- zookeeper
ports:
- "9092:9092"
environment:
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
KAFKA_LOG_RETENTION_HOURS: 1
KAFKA_LOG_SEGMENT_BYTES: 1073741824
schema-registry:
image: confluentinc/cp-schema-registry:7.5.0
hostname: schema-registry
container_name: compare-schema-registry
depends_on:
- kafka
ports:
- "8082:8081"
environment:
SCHEMA_REGISTRY_HOST_NAME: schema-registry
SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: 'kafka:29092'
SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081

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@@ -0,0 +1,337 @@
# SeaweedFS Kafka Client Load Test
# Tests the full stack: Kafka Clients -> SeaweedFS Kafka Gateway -> SeaweedFS MQ Broker -> Storage
x-seaweedfs-build: &seaweedfs-build
build:
context: .
dockerfile: Dockerfile.seaweedfs
args:
TARGETARCH: ${GOARCH:-arm64}
CACHE_BUST: ${CACHE_BUST:-latest}
image: kafka-client-loadtest-seaweedfs
services:
# Schema Registry (for Avro/Protobuf support)
# Using host networking to connect to localhost:9093 (where our gateway advertises)
# WORKAROUND: Schema Registry hangs on empty _schemas topic during bootstrap
# Pre-create the topic first to avoid "wait to catch up" hang
schema-registry-init:
image: confluentinc/cp-kafka:8.0.0
container_name: loadtest-schema-registry-init
networks:
- kafka-loadtest-net
depends_on:
kafka-gateway:
condition: service_healthy
command: >
bash -c "
echo 'Creating _schemas topic...';
kafka-topics --create --topic _schemas --partitions 1 --replication-factor 1 --bootstrap-server kafka-gateway:9093 --if-not-exists || exit 0;
echo '_schemas topic created successfully';
"
schema-registry:
image: confluentinc/cp-schema-registry:8.0.0
container_name: loadtest-schema-registry
restart: on-failure:3
ports:
- "8081:8081"
environment:
SCHEMA_REGISTRY_HOST_NAME: schema-registry
SCHEMA_REGISTRY_HOST_PORT: 8081
SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: 'kafka-gateway:9093'
SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081
SCHEMA_REGISTRY_KAFKASTORE_TOPIC: _schemas
SCHEMA_REGISTRY_DEBUG: "true"
SCHEMA_REGISTRY_SCHEMA_COMPATIBILITY_LEVEL: "full"
SCHEMA_REGISTRY_LEADER_ELIGIBILITY: "true"
SCHEMA_REGISTRY_MODE: "READWRITE"
SCHEMA_REGISTRY_GROUP_ID: "schema-registry"
SCHEMA_REGISTRY_KAFKASTORE_GROUP_ID: "schema-registry"
SCHEMA_REGISTRY_KAFKASTORE_SECURITY_PROTOCOL: "PLAINTEXT"
SCHEMA_REGISTRY_KAFKASTORE_TOPIC_REPLICATION_FACTOR: "1"
SCHEMA_REGISTRY_KAFKASTORE_INIT_TIMEOUT: "120000"
SCHEMA_REGISTRY_KAFKASTORE_TIMEOUT: "60000"
SCHEMA_REGISTRY_REQUEST_TIMEOUT_MS: "60000"
SCHEMA_REGISTRY_RETRY_BACKOFF_MS: "1000"
# Force IPv4 to work around Java IPv6 issues
# Enable verbose logging and set reasonable memory limits
KAFKA_OPTS: "-Djava.net.preferIPv4Stack=true -Djava.net.preferIPv4Addresses=true -Xmx512M -Xms256M"
KAFKA_LOG4J_OPTS: "-Dlog4j.configuration=file:/etc/kafka/log4j.properties"
SCHEMA_REGISTRY_LOG4J_ROOT_LOGLEVEL: "INFO"
SCHEMA_REGISTRY_KAFKASTORE_WRITE_TIMEOUT_MS: "60000"
SCHEMA_REGISTRY_KAFKASTORE_INIT_RETRY_BACKOFF_MS: "5000"
SCHEMA_REGISTRY_KAFKASTORE_CONSUMER_AUTO_OFFSET_RESET: "earliest"
# Enable comprehensive Kafka client DEBUG logging to trace offset management
SCHEMA_REGISTRY_LOG4J_LOGGERS: "org.apache.kafka.clients.consumer.internals.OffsetsRequestManager=DEBUG,org.apache.kafka.clients.consumer.internals.Fetcher=DEBUG,org.apache.kafka.clients.consumer.internals.AbstractFetch=DEBUG,org.apache.kafka.clients.Metadata=DEBUG,org.apache.kafka.common.network=DEBUG"
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8081/subjects"]
interval: 15s
timeout: 10s
retries: 10
start_period: 30s
depends_on:
schema-registry-init:
condition: service_completed_successfully
kafka-gateway:
condition: service_healthy
networks:
- kafka-loadtest-net
# SeaweedFS Master (coordinator)
seaweedfs-master:
<<: *seaweedfs-build
container_name: loadtest-seaweedfs-master
ports:
- "9333:9333"
- "19333:19333"
command:
- master
- -ip=seaweedfs-master
- -port=9333
- -port.grpc=19333
- -volumeSizeLimitMB=48
- -defaultReplication=000
- -garbageThreshold=0.3
volumes:
- ./data/seaweedfs-master:/data
healthcheck:
test: ["CMD-SHELL", "wget --quiet --tries=1 --spider http://seaweedfs-master:9333/cluster/status || exit 1"]
interval: 10s
timeout: 5s
retries: 10
start_period: 20s
networks:
- kafka-loadtest-net
# SeaweedFS Volume Server (storage)
seaweedfs-volume:
<<: *seaweedfs-build
container_name: loadtest-seaweedfs-volume
ports:
- "8080:8080"
- "18080:18080"
command:
- volume
- -master=seaweedfs-master:9333
- -ip=seaweedfs-volume
- -port=8080
- -port.grpc=18080
- -publicUrl=seaweedfs-volume:8080
- -preStopSeconds=1
- -compactionMBps=50
- -max=0
- -dir=/data
depends_on:
seaweedfs-master:
condition: service_healthy
volumes:
- ./data/seaweedfs-volume:/data
healthcheck:
test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://seaweedfs-volume:8080/status"]
interval: 10s
timeout: 5s
retries: 5
start_period: 15s
networks:
- kafka-loadtest-net
# SeaweedFS Filer (metadata)
seaweedfs-filer:
<<: *seaweedfs-build
container_name: loadtest-seaweedfs-filer
ports:
- "8888:8888"
- "18888:18888"
- "18889:18889"
command:
- filer
- -master=seaweedfs-master:9333
- -ip=seaweedfs-filer
- -port=8888
- -port.grpc=18888
- -metricsPort=18889
- -defaultReplicaPlacement=000
depends_on:
seaweedfs-master:
condition: service_healthy
seaweedfs-volume:
condition: service_healthy
volumes:
- ./data/seaweedfs-filer:/data
healthcheck:
test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://seaweedfs-filer:8888/"]
interval: 10s
timeout: 5s
retries: 5
start_period: 15s
networks:
- kafka-loadtest-net
# SeaweedFS MQ Broker (message handling)
seaweedfs-mq-broker:
<<: *seaweedfs-build
container_name: loadtest-seaweedfs-mq-broker
ports:
- "17777:17777"
- "18777:18777" # pprof profiling port
command:
- mq.broker
- -master=seaweedfs-master:9333
- -ip=seaweedfs-mq-broker
- -port=17777
- -logFlushInterval=0
- -debug
- -debug.port=18777
depends_on:
seaweedfs-filer:
condition: service_healthy
volumes:
- ./data/seaweedfs-mq:/data
healthcheck:
test: ["CMD", "nc", "-z", "localhost", "17777"]
interval: 10s
timeout: 5s
retries: 5
start_period: 20s
networks:
- kafka-loadtest-net
# SeaweedFS Kafka Gateway (Kafka protocol compatibility)
kafka-gateway:
<<: *seaweedfs-build
container_name: loadtest-kafka-gateway
ports:
- "9093:9093"
- "10093:10093" # pprof profiling port
command:
- mq.kafka.gateway
- -master=seaweedfs-master:9333
- -ip=kafka-gateway
- -ip.bind=0.0.0.0
- -port=9093
- -default-partitions=4
- -schema-registry-url=http://schema-registry:8081
- -port.pprof=10093
depends_on:
seaweedfs-filer:
condition: service_healthy
seaweedfs-mq-broker:
condition: service_healthy
environment:
- SEAWEEDFS_MASTERS=seaweedfs-master:9333
# - KAFKA_DEBUG=1 # Enable debug logging for Schema Registry troubleshooting
- KAFKA_ADVERTISED_HOST=kafka-gateway
volumes:
- ./data/kafka-gateway:/data
healthcheck:
test: ["CMD", "nc", "-z", "localhost", "9093"]
interval: 10s
timeout: 5s
retries: 10
start_period: 45s # Increased to account for 10s startup delay + filer discovery
networks:
- kafka-loadtest-net
# Kafka Client Load Test Runner
kafka-client-loadtest:
build:
context: ../../..
dockerfile: test/kafka/kafka-client-loadtest/Dockerfile.loadtest
container_name: kafka-client-loadtest-runner
depends_on:
kafka-gateway:
condition: service_healthy
# schema-registry:
# condition: service_healthy
environment:
- KAFKA_BOOTSTRAP_SERVERS=kafka-gateway:9093
- SCHEMA_REGISTRY_URL=http://schema-registry:8081
- TEST_DURATION=${TEST_DURATION:-300s}
- PRODUCER_COUNT=${PRODUCER_COUNT:-10}
- CONSUMER_COUNT=${CONSUMER_COUNT:-5}
- MESSAGE_RATE=${MESSAGE_RATE:-1000}
- MESSAGE_SIZE=${MESSAGE_SIZE:-1024}
- TOPIC_COUNT=${TOPIC_COUNT:-5}
- PARTITIONS_PER_TOPIC=${PARTITIONS_PER_TOPIC:-3}
- TEST_MODE=${TEST_MODE:-comprehensive}
- SCHEMAS_ENABLED=${SCHEMAS_ENABLED:-true}
- VALUE_TYPE=${VALUE_TYPE:-avro}
profiles:
- loadtest
volumes:
- ./test-results:/test-results
networks:
- kafka-loadtest-net
# Monitoring and Metrics
prometheus:
image: prom/prometheus:latest
container_name: loadtest-prometheus
ports:
- "9090:9090"
volumes:
- ./monitoring/prometheus.yml:/etc/prometheus/prometheus.yml
- prometheus-data:/prometheus
networks:
- kafka-loadtest-net
profiles:
- monitoring
grafana:
image: grafana/grafana:latest
container_name: loadtest-grafana
ports:
- "3000:3000"
environment:
- GF_SECURITY_ADMIN_PASSWORD=admin
volumes:
- ./monitoring/grafana/dashboards:/var/lib/grafana/dashboards
- ./monitoring/grafana/provisioning:/etc/grafana/provisioning
- grafana-data:/var/lib/grafana
networks:
- kafka-loadtest-net
profiles:
- monitoring
# Schema Registry Debug Runner
schema-registry-debug:
build:
context: debug-client
dockerfile: Dockerfile
container_name: schema-registry-debug-runner
depends_on:
kafka-gateway:
condition: service_healthy
networks:
- kafka-loadtest-net
profiles:
- debug
# SeekToBeginning test - reproduces the hang issue
seek-test:
build:
context: .
dockerfile: Dockerfile.seektest
container_name: loadtest-seek-test
depends_on:
kafka-gateway:
condition: service_healthy
schema-registry:
condition: service_healthy
environment:
- KAFKA_BOOTSTRAP_SERVERS=kafka-gateway:9093
networks:
- kafka-loadtest-net
entrypoint: ["java", "-cp", "target/seek-test.jar", "SeekToBeginningTest"]
command: ["kafka-gateway:9093"]
volumes:
prometheus-data:
grafana-data:
networks:
kafka-loadtest-net:
driver: bridge
name: kafka-client-loadtest

View File

@@ -0,0 +1,39 @@
module github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest
go 1.25.0
require (
github.com/IBM/sarama v1.46.1
github.com/linkedin/goavro/v2 v2.14.0
github.com/prometheus/client_golang v1.23.2
google.golang.org/protobuf v1.36.8
gopkg.in/yaml.v3 v3.0.1
)
require (
github.com/beorn7/perks v1.0.1 // indirect
github.com/cespare/xxhash/v2 v2.3.0 // indirect
github.com/davecgh/go-spew v1.1.1 // indirect
github.com/eapache/go-resiliency v1.7.0 // indirect
github.com/eapache/go-xerial-snappy v0.0.0-20230731223053-c322873962e3 // indirect
github.com/eapache/queue v1.1.0 // indirect
github.com/golang/snappy v1.0.0 // indirect
github.com/hashicorp/go-uuid v1.0.3 // indirect
github.com/jcmturner/aescts/v2 v2.0.0 // indirect
github.com/jcmturner/dnsutils/v2 v2.0.0 // indirect
github.com/jcmturner/gofork v1.7.6 // indirect
github.com/jcmturner/gokrb5/v8 v8.4.4 // indirect
github.com/jcmturner/rpc/v2 v2.0.3 // indirect
github.com/klauspost/compress v1.18.0 // indirect
github.com/kr/text v0.2.0 // indirect
github.com/munnerz/goautoneg v0.0.0-20191010083416-a7dc8b61c822 // indirect
github.com/pierrec/lz4/v4 v4.1.22 // indirect
github.com/prometheus/client_model v0.6.2 // indirect
github.com/prometheus/common v0.66.1 // indirect
github.com/prometheus/procfs v0.16.1 // indirect
github.com/rcrowley/go-metrics v0.0.0-20250401214520-65e299d6c5c9 // indirect
go.yaml.in/yaml/v2 v2.4.2 // indirect
golang.org/x/crypto v0.52.0 // indirect
golang.org/x/net v0.55.0 // indirect
golang.org/x/sys v0.45.0 // indirect
)

View File

@@ -0,0 +1,129 @@
github.com/IBM/sarama v1.46.1 h1:AlDkvyQm4LKktoQZxv0sbTfH3xukeH7r/UFBbUmFV9M=
github.com/IBM/sarama v1.46.1/go.mod h1:ipyOREIx+o9rMSrrPGLZHGuT0mzecNzKd19Quq+Q8AA=
github.com/beorn7/perks v1.0.1 h1:VlbKKnNfV8bJzeqoa4cOKqO6bYr3WgKZxO8Z16+hsOM=
github.com/beorn7/perks v1.0.1/go.mod h1:G2ZrVWU2WbWT9wwq4/hrbKbnv/1ERSJQ0ibhJ6rlkpw=
github.com/cespare/xxhash/v2 v2.3.0 h1:UL815xU9SqsFlibzuggzjXhog7bL6oX9BbNZnL2UFvs=
github.com/cespare/xxhash/v2 v2.3.0/go.mod h1:VGX0DQ3Q6kWi7AoAeZDth3/j3BFtOZR5XLFGgcrjCOs=
github.com/creack/pty v1.1.9/go.mod h1:oKZEueFk5CKHvIhNR5MUki03XCEU+Q6VDXinZuGJ33E=
github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/eapache/go-resiliency v1.7.0 h1:n3NRTnBn5N0Cbi/IeOHuQn9s2UwVUH7Ga0ZWcP+9JTA=
github.com/eapache/go-resiliency v1.7.0/go.mod h1:5yPzW0MIvSe0JDsv0v+DvcjEv2FyD6iZYSs1ZI+iQho=
github.com/eapache/go-xerial-snappy v0.0.0-20230731223053-c322873962e3 h1:Oy0F4ALJ04o5Qqpdz8XLIpNA3WM/iSIXqxtqo7UGVws=
github.com/eapache/go-xerial-snappy v0.0.0-20230731223053-c322873962e3/go.mod h1:YvSRo5mw33fLEx1+DlK6L2VV43tJt5Eyel9n9XBcR+0=
github.com/eapache/queue v1.1.0 h1:YOEu7KNc61ntiQlcEeUIoDTJ2o8mQznoNvUhiigpIqc=
github.com/eapache/queue v1.1.0/go.mod h1:6eCeP0CKFpHLu8blIFXhExK/dRa7WDZfr6jVFPTqq+I=
github.com/fortytw2/leaktest v1.3.0 h1:u8491cBMTQ8ft8aeV+adlcytMZylmA5nnwwkRZjI8vw=
github.com/fortytw2/leaktest v1.3.0/go.mod h1:jDsjWgpAGjm2CA7WthBh/CdZYEPF31XHquHwclZch5g=
github.com/golang/snappy v0.0.1/go.mod h1:/XxbfmMg8lxefKM7IXC3fBNl/7bRcc72aCRzEWrmP2Q=
github.com/golang/snappy v1.0.0 h1:Oy607GVXHs7RtbggtPBnr2RmDArIsAefDwvrdWvRhGs=
github.com/golang/snappy v1.0.0/go.mod h1:/XxbfmMg8lxefKM7IXC3fBNl/7bRcc72aCRzEWrmP2Q=
github.com/google/go-cmp v0.7.0 h1:wk8382ETsv4JYUZwIsn6YpYiWiBsYLSJiTsyBybVuN8=
github.com/google/go-cmp v0.7.0/go.mod h1:pXiqmnSA92OHEEa9HXL2W4E7lf9JzCmGVUdgjX3N/iU=
github.com/gorilla/securecookie v1.1.1/go.mod h1:ra0sb63/xPlUeL+yeDciTfxMRAA+MP+HVt/4epWDjd4=
github.com/gorilla/sessions v1.2.1/go.mod h1:dk2InVEVJ0sfLlnXv9EAgkf6ecYs/i80K/zI+bUmuGM=
github.com/hashicorp/go-uuid v1.0.2/go.mod h1:6SBZvOh/SIDV7/2o3Jml5SYk/TvGqwFJ/bN7x4byOro=
github.com/hashicorp/go-uuid v1.0.3 h1:2gKiV6YVmrJ1i2CKKa9obLvRieoRGviZFL26PcT/Co8=
github.com/hashicorp/go-uuid v1.0.3/go.mod h1:6SBZvOh/SIDV7/2o3Jml5SYk/TvGqwFJ/bN7x4byOro=
github.com/jcmturner/aescts/v2 v2.0.0 h1:9YKLH6ey7H4eDBXW8khjYslgyqG2xZikXP0EQFKrle8=
github.com/jcmturner/aescts/v2 v2.0.0/go.mod h1:AiaICIRyfYg35RUkr8yESTqvSy7csK90qZ5xfvvsoNs=
github.com/jcmturner/dnsutils/v2 v2.0.0 h1:lltnkeZGL0wILNvrNiVCR6Ro5PGU/SeBvVO/8c/iPbo=
github.com/jcmturner/dnsutils/v2 v2.0.0/go.mod h1:b0TnjGOvI/n42bZa+hmXL+kFJZsFT7G4t3HTlQ184QM=
github.com/jcmturner/gofork v1.7.6 h1:QH0l3hzAU1tfT3rZCnW5zXl+orbkNMMRGJfdJjHVETg=
github.com/jcmturner/gofork v1.7.6/go.mod h1:1622LH6i/EZqLloHfE7IeZ0uEJwMSUyQ/nDd82IeqRo=
github.com/jcmturner/goidentity/v6 v6.0.1 h1:VKnZd2oEIMorCTsFBnJWbExfNN7yZr3EhJAxwOkZg6o=
github.com/jcmturner/goidentity/v6 v6.0.1/go.mod h1:X1YW3bgtvwAXju7V3LCIMpY0Gbxyjn/mY9zx4tFonSg=
github.com/jcmturner/gokrb5/v8 v8.4.4 h1:x1Sv4HaTpepFkXbt2IkL29DXRf8sOfZXo8eRKh687T8=
github.com/jcmturner/gokrb5/v8 v8.4.4/go.mod h1:1btQEpgT6k+unzCwX1KdWMEwPPkkgBtP+F6aCACiMrs=
github.com/jcmturner/rpc/v2 v2.0.3 h1:7FXXj8Ti1IaVFpSAziCZWNzbNuZmnvw/i6CqLNdWfZY=
github.com/jcmturner/rpc/v2 v2.0.3/go.mod h1:VUJYCIDm3PVOEHw8sgt091/20OJjskO/YJki3ELg/Hc=
github.com/klauspost/compress v1.18.0 h1:c/Cqfb0r+Yi+JtIEq73FWXVkRonBlf0CRNYc8Zttxdo=
github.com/klauspost/compress v1.18.0/go.mod h1:2Pp+KzxcywXVXMr50+X0Q/Lsb43OQHYWRCY2AiWywWQ=
github.com/kr/pretty v0.3.1 h1:flRD4NNwYAUpkphVc1HcthR4KEIFJ65n8Mw5qdRn3LE=
github.com/kr/pretty v0.3.1/go.mod h1:hoEshYVHaxMs3cyo3Yncou5ZscifuDolrwPKZanG3xk=
github.com/kr/text v0.2.0 h1:5Nx0Ya0ZqY2ygV366QzturHI13Jq95ApcVaJBhpS+AY=
github.com/kr/text v0.2.0/go.mod h1:eLer722TekiGuMkidMxC/pM04lWEeraHUUmBw8l2grE=
github.com/kylelemons/godebug v1.1.0 h1:RPNrshWIDI6G2gRW9EHilWtl7Z6Sb1BR0xunSBf0SNc=
github.com/kylelemons/godebug v1.1.0/go.mod h1:9/0rRGxNHcop5bhtWyNeEfOS8JIWk580+fNqagV/RAw=
github.com/linkedin/goavro/v2 v2.14.0 h1:aNO/js65U+Mwq4yB5f1h01c3wiM458qtRad1DN0CMUI=
github.com/linkedin/goavro/v2 v2.14.0/go.mod h1:KXx+erlq+RPlGSPmLF7xGo6SAbh8sCQ53x064+ioxhk=
github.com/munnerz/goautoneg v0.0.0-20191010083416-a7dc8b61c822 h1:C3w9PqII01/Oq1c1nUAm88MOHcQC9l5mIlSMApZMrHA=
github.com/munnerz/goautoneg v0.0.0-20191010083416-a7dc8b61c822/go.mod h1:+n7T8mK8HuQTcFwEeznm/DIxMOiR9yIdICNftLE1DvQ=
github.com/pierrec/lz4/v4 v4.1.22 h1:cKFw6uJDK+/gfw5BcDL0JL5aBsAFdsIT18eRtLj7VIU=
github.com/pierrec/lz4/v4 v4.1.22/go.mod h1:gZWDp/Ze/IJXGXf23ltt2EXimqmTUXEy0GFuRQyBid4=
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
github.com/prometheus/client_golang v1.23.2 h1:Je96obch5RDVy3FDMndoUsjAhG5Edi49h0RJWRi/o0o=
github.com/prometheus/client_golang v1.23.2/go.mod h1:Tb1a6LWHB3/SPIzCoaDXI4I8UHKeFTEQ1YCr+0Gyqmg=
github.com/prometheus/client_model v0.6.2 h1:oBsgwpGs7iVziMvrGhE53c/GrLUsZdHnqNwqPLxwZyk=
github.com/prometheus/client_model v0.6.2/go.mod h1:y3m2F6Gdpfy6Ut/GBsUqTWZqCUvMVzSfMLjcu6wAwpE=
github.com/prometheus/common v0.66.1 h1:h5E0h5/Y8niHc5DlaLlWLArTQI7tMrsfQjHV+d9ZoGs=
github.com/prometheus/common v0.66.1/go.mod h1:gcaUsgf3KfRSwHY4dIMXLPV0K/Wg1oZ8+SbZk/HH/dA=
github.com/prometheus/procfs v0.16.1 h1:hZ15bTNuirocR6u0JZ6BAHHmwS1p8B4P6MRqxtzMyRg=
github.com/prometheus/procfs v0.16.1/go.mod h1:teAbpZRB1iIAJYREa1LsoWUXykVXA1KlTmWl8x/U+Is=
github.com/rcrowley/go-metrics v0.0.0-20250401214520-65e299d6c5c9 h1:bsUq1dX0N8AOIL7EB/X911+m4EHsnWEHeJ0c+3TTBrg=
github.com/rcrowley/go-metrics v0.0.0-20250401214520-65e299d6c5c9/go.mod h1:bCqnVzQkZxMG4s8nGwiZ5l3QUCyqpo9Y+/ZMZ9VjZe4=
github.com/rogpeppe/go-internal v1.10.0 h1:TMyTOH3F/DB16zRVcYyreMH6GnZZrwQVAoYjRBZyWFQ=
github.com/rogpeppe/go-internal v1.10.0/go.mod h1:UQnix2H7Ngw/k4C5ijL5+65zddjncjaFoBhdsK/akog=
github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
github.com/stretchr/objx v0.4.0/go.mod h1:YvHI0jy2hoMjB+UWwv71VJQ9isScKT/TqJzVSSt89Yw=
github.com/stretchr/objx v0.5.0/go.mod h1:Yh+to48EsGEfYuaHDzXPcE3xhTkx73EhmCGUpEOglKo=
github.com/stretchr/testify v1.4.0/go.mod h1:j7eGeouHqKxXV5pUuKE4zz7dFj8WfuZ+81PSLYec5m4=
github.com/stretchr/testify v1.7.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
github.com/stretchr/testify v1.7.5/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4=
github.com/stretchr/testify v1.11.1 h1:7s2iGBzp5EwR7/aIZr8ao5+dra3wiQyKjjFuvgVKu7U=
github.com/stretchr/testify v1.11.1/go.mod h1:wZwfW3scLgRK+23gO65QZefKpKQRnfz6sD981Nm4B6U=
github.com/yuin/goldmark v1.4.13/go.mod h1:6yULJ656Px+3vBD8DxQVa3kxgyrAnzto9xy5taEt/CY=
go.uber.org/goleak v1.3.0 h1:2K3zAYmnTNqV73imy9J1T3WC+gmCePx2hEGkimedGto=
go.uber.org/goleak v1.3.0/go.mod h1:CoHD4mav9JJNrW/WLlf7HGZPjdw8EucARQHekz1X6bE=
go.yaml.in/yaml/v2 v2.4.2 h1:DzmwEr2rDGHl7lsFgAHxmNz/1NlQ7xLIrlN2h5d1eGI=
go.yaml.in/yaml/v2 v2.4.2/go.mod h1:081UH+NErpNdqlCXm3TtEran0rJZGxAYx9hb/ELlsPU=
golang.org/x/crypto v0.0.0-20190308221718-c2843e01d9a2/go.mod h1:djNgcEr1/C05ACkg1iLfiJU5Ep61QUkGW8qpdssI0+w=
golang.org/x/crypto v0.0.0-20210921155107-089bfa567519/go.mod h1:GvvjBRRGRdwPK5ydBHafDWAxML/pGHZbMvKqRZ5+Abc=
golang.org/x/crypto v0.6.0/go.mod h1:OFC/31mSvZgRz0V1QTNCzfAI1aIRzbiufJtkMIlEp58=
golang.org/x/crypto v0.52.0 h1:RMs7fP2rXdep0CftQlK8Uf+kibLm7qkCcradZWYz988=
golang.org/x/crypto v0.52.0/go.mod h1:1QgfPxDqh0T2M/elOJtp9RvuR95kVjir0e6/BvEmGbc=
golang.org/x/mod v0.6.0-dev.0.20220419223038-86c51ed26bb4/go.mod h1:jJ57K6gSWd91VN4djpZkiMVwK6gcyfeH4XE8wZrZaV4=
golang.org/x/net v0.0.0-20190620200207-3b0461eec859/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s=
golang.org/x/net v0.0.0-20200114155413-6afb5195e5aa/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s=
golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg=
golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug+ECip1KBveYUHfp+8e9klMJ9c=
golang.org/x/net v0.6.0/go.mod h1:2Tu9+aMcznHK/AK1HMvgo6xiTLG5rD5rZLDS+rp2Bjs=
golang.org/x/net v0.7.0/go.mod h1:2Tu9+aMcznHK/AK1HMvgo6xiTLG5rD5rZLDS+rp2Bjs=
golang.org/x/net v0.55.0 h1:bcvxaJn3e1U6InsFWt1JUq1aSjnRxLzT2rtD2KfkDF8=
golang.org/x/net v0.55.0/go.mod h1:L5U2KuzuOe1lY7Z+aWVIKK6qEeJXnXV9yzGA+WCHJww=
golang.org/x/sync v0.0.0-20190423024810-112230192c58/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
golang.org/x/sync v0.17.0 h1:l60nONMj9l5drqw6jlhIELNv9I0A4OFgRsG9k2oT9Ug=
golang.org/x/sync v0.17.0/go.mod h1:9KTHXmSnoGruLpwFjVSX0lNNA75CykiMECbovNTZqGI=
golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
golang.org/x/sys v0.0.0-20201119102817-f84b799fce68/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20210615035016-665e8c7367d1/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.0.0-20220520151302-bc2c85ada10a/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.0.0-20220722155257-8c9f86f7a55f/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.5.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.45.0 h1:dO4czNzziLiiXplLQgBCEpCvXQ3dnkn0SdaZSYdQ+FY=
golang.org/x/sys v0.45.0/go.mod h1:4GL1E5IUh+htKOUEOaiffhrAeqysfVGipDYzABqnCmw=
golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo=
golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8=
golang.org/x/term v0.5.0/go.mod h1:jMB1sMXY+tzblOD4FWmEbocvup2/aLOaQEp7JmGp78k=
golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ=
golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
golang.org/x/text v0.3.7/go.mod h1:u+2+/6zg+i71rQMx5EYifcz6MCKuco9NR6JIITiCfzQ=
golang.org/x/text v0.7.0/go.mod h1:mrYo+phRRbMaCq/xk9113O4dZlRixOauAjOtrjsXDZ8=
golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
golang.org/x/tools v0.0.0-20191119224855-298f0cb1881e/go.mod h1:b+2E5dAYhXwXZwtnZ6UAqBI28+e2cm9otk0dWdXHAEo=
golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc=
golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
google.golang.org/protobuf v1.36.8 h1:xHScyCOEuuwZEc6UtSOvPbAT4zRh0xcNRYekJwfqyMc=
google.golang.org/protobuf v1.36.8/go.mod h1:fuxRtAxBytpl4zzqUh6/eyUujkJdNiuEkXntxiD/uRU=
gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
gopkg.in/check.v1 v1.0.0-20201130134442-10cb98267c6c h1:Hei/4ADfdWqJk1ZMxUNpqntNwaWcugrBjAiHlqqRiVk=
gopkg.in/check.v1 v1.0.0-20201130134442-10cb98267c6c/go.mod h1:JHkPIbrfpd72SG/EVd6muEfDQjcINNoR0C8j2r3qZ4Q=
gopkg.in/yaml.v2 v2.2.2/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI=
gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=

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@@ -0,0 +1,361 @@
package config
import (
"fmt"
"os"
"strconv"
"strings"
"time"
"gopkg.in/yaml.v3"
)
// Config represents the complete load test configuration
type Config struct {
TestMode string `yaml:"test_mode"`
Duration time.Duration `yaml:"duration"`
Kafka KafkaConfig `yaml:"kafka"`
SchemaRegistry SchemaRegistryConfig `yaml:"schema_registry"`
Producers ProducersConfig `yaml:"producers"`
Consumers ConsumersConfig `yaml:"consumers"`
Topics TopicsConfig `yaml:"topics"`
Schemas SchemasConfig `yaml:"schemas"`
Metrics MetricsConfig `yaml:"metrics"`
Scenarios ScenariosConfig `yaml:"scenarios"`
Chaos ChaosConfig `yaml:"chaos"`
Output OutputConfig `yaml:"output"`
Logging LoggingConfig `yaml:"logging"`
}
type KafkaConfig struct {
BootstrapServers []string `yaml:"bootstrap_servers"`
SecurityProtocol string `yaml:"security_protocol"`
SASLMechanism string `yaml:"sasl_mechanism"`
SASLUsername string `yaml:"sasl_username"`
SASLPassword string `yaml:"sasl_password"`
}
type SchemaRegistryConfig struct {
URL string `yaml:"url"`
Auth struct {
Username string `yaml:"username"`
Password string `yaml:"password"`
} `yaml:"auth"`
}
type ProducersConfig struct {
Count int `yaml:"count"`
MessageRate int `yaml:"message_rate"`
MessageSize int `yaml:"message_size"`
BatchSize int `yaml:"batch_size"`
LingerMs int `yaml:"linger_ms"`
CompressionType string `yaml:"compression_type"`
Acks string `yaml:"acks"`
Retries int `yaml:"retries"`
RetryBackoffMs int `yaml:"retry_backoff_ms"`
RequestTimeoutMs int `yaml:"request_timeout_ms"`
DeliveryTimeoutMs int `yaml:"delivery_timeout_ms"`
KeyDistribution string `yaml:"key_distribution"`
ValueType string `yaml:"value_type"` // json, avro, protobuf, binary
SchemaFormat string `yaml:"schema_format"` // AVRO, JSON, PROTOBUF (schema registry format)
IncludeTimestamp bool `yaml:"include_timestamp"`
IncludeHeaders bool `yaml:"include_headers"`
}
type ConsumersConfig struct {
Count int `yaml:"count"`
GroupPrefix string `yaml:"group_prefix"`
AutoOffsetReset string `yaml:"auto_offset_reset"`
EnableAutoCommit bool `yaml:"enable_auto_commit"`
AutoCommitIntervalMs int `yaml:"auto_commit_interval_ms"`
SessionTimeoutMs int `yaml:"session_timeout_ms"`
HeartbeatIntervalMs int `yaml:"heartbeat_interval_ms"`
MaxPollRecords int `yaml:"max_poll_records"`
MaxPollIntervalMs int `yaml:"max_poll_interval_ms"`
FetchMinBytes int `yaml:"fetch_min_bytes"`
FetchMaxBytes int `yaml:"fetch_max_bytes"`
FetchMaxWaitMs int `yaml:"fetch_max_wait_ms"`
}
type TopicsConfig struct {
Count int `yaml:"count"`
Prefix string `yaml:"prefix"`
Partitions int `yaml:"partitions"`
ReplicationFactor int `yaml:"replication_factor"`
CleanupPolicy string `yaml:"cleanup_policy"`
RetentionMs int64 `yaml:"retention_ms"`
SegmentMs int64 `yaml:"segment_ms"`
}
type SchemaConfig struct {
Type string `yaml:"type"`
Schema string `yaml:"schema"`
}
type SchemasConfig struct {
Enabled bool `yaml:"enabled"`
RegistryTimeoutMs int `yaml:"registry_timeout_ms"`
UserEvent SchemaConfig `yaml:"user_event"`
Transaction SchemaConfig `yaml:"transaction"`
}
type MetricsConfig struct {
Enabled bool `yaml:"enabled"`
CollectionInterval time.Duration `yaml:"collection_interval"`
PrometheusPort int `yaml:"prometheus_port"`
TrackLatency bool `yaml:"track_latency"`
TrackThroughput bool `yaml:"track_throughput"`
TrackErrors bool `yaml:"track_errors"`
TrackConsumerLag bool `yaml:"track_consumer_lag"`
LatencyPercentiles []float64 `yaml:"latency_percentiles"`
}
type ScenarioConfig struct {
ProducerRate int `yaml:"producer_rate"`
RampUpTime time.Duration `yaml:"ramp_up_time"`
SteadyDuration time.Duration `yaml:"steady_duration"`
RampDownTime time.Duration `yaml:"ramp_down_time"`
BaseRate int `yaml:"base_rate"`
BurstRate int `yaml:"burst_rate"`
BurstDuration time.Duration `yaml:"burst_duration"`
BurstInterval time.Duration `yaml:"burst_interval"`
StartRate int `yaml:"start_rate"`
EndRate int `yaml:"end_rate"`
RampDuration time.Duration `yaml:"ramp_duration"`
StepDuration time.Duration `yaml:"step_duration"`
}
type ScenariosConfig struct {
SteadyLoad ScenarioConfig `yaml:"steady_load"`
BurstLoad ScenarioConfig `yaml:"burst_load"`
RampTest ScenarioConfig `yaml:"ramp_test"`
}
type ChaosConfig struct {
Enabled bool `yaml:"enabled"`
ProducerFailureRate float64 `yaml:"producer_failure_rate"`
ConsumerFailureRate float64 `yaml:"consumer_failure_rate"`
NetworkPartitionProbability float64 `yaml:"network_partition_probability"`
BrokerRestartInterval time.Duration `yaml:"broker_restart_interval"`
}
type OutputConfig struct {
ResultsDir string `yaml:"results_dir"`
ExportPrometheus bool `yaml:"export_prometheus"`
ExportCSV bool `yaml:"export_csv"`
ExportJSON bool `yaml:"export_json"`
RealTimeStats bool `yaml:"real_time_stats"`
StatsInterval time.Duration `yaml:"stats_interval"`
}
type LoggingConfig struct {
Level string `yaml:"level"`
Format string `yaml:"format"`
EnableKafkaLogs bool `yaml:"enable_kafka_logs"`
}
// Load reads and parses the configuration file
func Load(configFile string) (*Config, error) {
data, err := os.ReadFile(configFile)
if err != nil {
return nil, fmt.Errorf("failed to read config file %s: %w", configFile, err)
}
var cfg Config
if err := yaml.Unmarshal(data, &cfg); err != nil {
return nil, fmt.Errorf("failed to parse config file %s: %w", configFile, err)
}
// Apply default values
cfg.setDefaults()
// Apply environment variable overrides
cfg.applyEnvOverrides()
return &cfg, nil
}
// ApplyOverrides applies command-line flag overrides
func (c *Config) ApplyOverrides(testMode string, duration time.Duration) {
if testMode != "" {
c.TestMode = testMode
}
if duration > 0 {
c.Duration = duration
}
}
// setDefaults sets default values for optional fields
func (c *Config) setDefaults() {
if c.TestMode == "" {
c.TestMode = "comprehensive"
}
if len(c.Kafka.BootstrapServers) == 0 {
c.Kafka.BootstrapServers = []string{"kafka-gateway:9093"}
}
if c.SchemaRegistry.URL == "" {
c.SchemaRegistry.URL = "http://schema-registry:8081"
}
// Schema support is always enabled since Kafka Gateway now enforces schema-first behavior
c.Schemas.Enabled = true
if c.Producers.Count == 0 {
c.Producers.Count = 10
}
if c.Consumers.Count == 0 {
c.Consumers.Count = 5
}
if c.Topics.Count == 0 {
c.Topics.Count = 5
}
if c.Topics.Prefix == "" {
c.Topics.Prefix = "loadtest-topic"
}
if c.Topics.Partitions == 0 {
c.Topics.Partitions = 4 // Default to 4 partitions
}
if c.Topics.ReplicationFactor == 0 {
c.Topics.ReplicationFactor = 1 // Default to 1 replica
}
if c.Consumers.GroupPrefix == "" {
c.Consumers.GroupPrefix = "loadtest-group"
}
if c.Output.ResultsDir == "" {
c.Output.ResultsDir = "/test-results"
}
if c.Metrics.CollectionInterval == 0 {
c.Metrics.CollectionInterval = 10 * time.Second
}
if c.Output.StatsInterval == 0 {
c.Output.StatsInterval = 30 * time.Second
}
}
// applyEnvOverrides applies environment variable overrides
func (c *Config) applyEnvOverrides() {
if servers := os.Getenv("KAFKA_BOOTSTRAP_SERVERS"); servers != "" {
c.Kafka.BootstrapServers = strings.Split(servers, ",")
}
if url := os.Getenv("SCHEMA_REGISTRY_URL"); url != "" {
c.SchemaRegistry.URL = url
}
if mode := os.Getenv("TEST_MODE"); mode != "" {
c.TestMode = mode
}
if duration := os.Getenv("TEST_DURATION"); duration != "" {
if d, err := time.ParseDuration(duration); err == nil {
c.Duration = d
}
}
if count := os.Getenv("PRODUCER_COUNT"); count != "" {
if i, err := strconv.Atoi(count); err == nil {
c.Producers.Count = i
}
}
if count := os.Getenv("CONSUMER_COUNT"); count != "" {
if i, err := strconv.Atoi(count); err == nil {
c.Consumers.Count = i
}
}
if rate := os.Getenv("MESSAGE_RATE"); rate != "" {
if i, err := strconv.Atoi(rate); err == nil {
c.Producers.MessageRate = i
}
}
if size := os.Getenv("MESSAGE_SIZE"); size != "" {
if i, err := strconv.Atoi(size); err == nil {
c.Producers.MessageSize = i
}
}
if count := os.Getenv("TOPIC_COUNT"); count != "" {
if i, err := strconv.Atoi(count); err == nil {
c.Topics.Count = i
}
}
if partitions := os.Getenv("PARTITIONS_PER_TOPIC"); partitions != "" {
if i, err := strconv.Atoi(partitions); err == nil {
c.Topics.Partitions = i
}
}
if valueType := os.Getenv("VALUE_TYPE"); valueType != "" {
c.Producers.ValueType = valueType
}
if schemaFormat := os.Getenv("SCHEMA_FORMAT"); schemaFormat != "" {
c.Producers.SchemaFormat = schemaFormat
}
if enabled := os.Getenv("SCHEMAS_ENABLED"); enabled != "" {
c.Schemas.Enabled = enabled == "true"
}
}
// GetTopicNames returns the list of topic names to use for testing
func (c *Config) GetTopicNames() []string {
topics := make([]string, c.Topics.Count)
for i := 0; i < c.Topics.Count; i++ {
topics[i] = fmt.Sprintf("%s-%d", c.Topics.Prefix, i)
}
return topics
}
// GetConsumerGroupNames returns the list of consumer group names
func (c *Config) GetConsumerGroupNames() []string {
groups := make([]string, c.Consumers.Count)
for i := 0; i < c.Consumers.Count; i++ {
groups[i] = fmt.Sprintf("%s-%d", c.Consumers.GroupPrefix, i)
}
return groups
}
// Validate validates the configuration
func (c *Config) Validate() error {
if c.TestMode != "producer" && c.TestMode != "consumer" && c.TestMode != "comprehensive" {
return fmt.Errorf("invalid test mode: %s", c.TestMode)
}
if len(c.Kafka.BootstrapServers) == 0 {
return fmt.Errorf("kafka bootstrap servers not specified")
}
if c.Producers.Count <= 0 && (c.TestMode == "producer" || c.TestMode == "comprehensive") {
return fmt.Errorf("producer count must be greater than 0 for producer or comprehensive tests")
}
if c.Consumers.Count <= 0 && (c.TestMode == "consumer" || c.TestMode == "comprehensive") {
return fmt.Errorf("consumer count must be greater than 0 for consumer or comprehensive tests")
}
if c.Topics.Count <= 0 {
return fmt.Errorf("topic count must be greater than 0")
}
if c.Topics.Partitions <= 0 {
return fmt.Errorf("partitions per topic must be greater than 0")
}
return nil
}

View File

@@ -0,0 +1,776 @@
package consumer
import (
"context"
"encoding/binary"
"encoding/json"
"fmt"
"log"
"os"
"strings"
"sync"
"time"
"github.com/IBM/sarama"
"github.com/linkedin/goavro/v2"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/config"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/metrics"
pb "github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema/pb"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/tracker"
"google.golang.org/protobuf/proto"
)
// Consumer represents a Kafka consumer for load testing
type Consumer struct {
id int
config *config.Config
metricsCollector *metrics.Collector
saramaConsumer sarama.ConsumerGroup
useConfluent bool // Always false, Sarama only
topics []string
consumerGroup string
avroCodec *goavro.Codec
// Schema format tracking per topic
schemaFormats map[string]string // topic -> schema format mapping (AVRO, JSON, PROTOBUF)
// Processing tracking
messagesProcessed int64
lastOffset map[string]map[int32]int64
offsetMutex sync.RWMutex
// Record tracking
tracker *tracker.Tracker
}
// New creates a new consumer instance
func New(cfg *config.Config, collector *metrics.Collector, id int, recordTracker *tracker.Tracker) (*Consumer, error) {
// All consumers share the same group for load balancing across partitions
consumerGroup := cfg.Consumers.GroupPrefix
c := &Consumer{
id: id,
config: cfg,
metricsCollector: collector,
topics: cfg.GetTopicNames(),
consumerGroup: consumerGroup,
useConfluent: false, // Use Sarama by default
lastOffset: make(map[string]map[int32]int64),
schemaFormats: make(map[string]string),
tracker: recordTracker,
}
// Initialize schema formats for each topic (must match producer logic)
// This mirrors the format distribution in cmd/loadtest/main.go registerSchemas()
for i, topic := range c.topics {
var schemaFormat string
if cfg.Producers.SchemaFormat != "" {
// Use explicit config if provided
schemaFormat = cfg.Producers.SchemaFormat
} else {
// Distribute across formats (same as producer)
switch i % 3 {
case 0:
schemaFormat = "AVRO"
case 1:
schemaFormat = "JSON"
case 2:
schemaFormat = "PROTOBUF"
}
}
c.schemaFormats[topic] = schemaFormat
log.Printf("Consumer %d: Topic %s will use schema format: %s", id, topic, schemaFormat)
}
// Initialize consumer based on configuration
if c.useConfluent {
if err := c.initConfluentConsumer(); err != nil {
return nil, fmt.Errorf("failed to initialize Confluent consumer: %w", err)
}
} else {
if err := c.initSaramaConsumer(); err != nil {
return nil, fmt.Errorf("failed to initialize Sarama consumer: %w", err)
}
}
// Initialize Avro codec if schemas are enabled
if cfg.Schemas.Enabled {
if err := c.initAvroCodec(); err != nil {
return nil, fmt.Errorf("failed to initialize Avro codec: %w", err)
}
}
log.Printf("Consumer %d initialized for group %s", id, consumerGroup)
return c, nil
}
// initSaramaConsumer initializes the Sarama consumer group
func (c *Consumer) initSaramaConsumer() error {
config := sarama.NewConfig()
// Enable Sarama debug logging to diagnose connection issues
sarama.Logger = log.New(os.Stdout, fmt.Sprintf("[Sarama Consumer %d] ", c.id), log.LstdFlags)
// Consumer configuration
config.Consumer.Return.Errors = true
config.Consumer.Offsets.Initial = sarama.OffsetOldest
if c.config.Consumers.AutoOffsetReset == "latest" {
config.Consumer.Offsets.Initial = sarama.OffsetNewest
}
// Auto commit configuration
config.Consumer.Offsets.AutoCommit.Enable = c.config.Consumers.EnableAutoCommit
config.Consumer.Offsets.AutoCommit.Interval = time.Duration(c.config.Consumers.AutoCommitIntervalMs) * time.Millisecond
// Session and heartbeat configuration
config.Consumer.Group.Session.Timeout = time.Duration(c.config.Consumers.SessionTimeoutMs) * time.Millisecond
config.Consumer.Group.Heartbeat.Interval = time.Duration(c.config.Consumers.HeartbeatIntervalMs) * time.Millisecond
// Fetch configuration
config.Consumer.Fetch.Min = int32(c.config.Consumers.FetchMinBytes)
config.Consumer.Fetch.Default = 10 * 1024 * 1024 // 10MB per partition (increased from 1MB default)
config.Consumer.Fetch.Max = int32(c.config.Consumers.FetchMaxBytes)
config.Consumer.MaxWaitTime = time.Duration(c.config.Consumers.FetchMaxWaitMs) * time.Millisecond
config.Consumer.MaxProcessingTime = time.Duration(c.config.Consumers.MaxPollIntervalMs) * time.Millisecond
// Channel buffer sizes for concurrent partition consumption
config.ChannelBufferSize = 256 // Increase from default 256 to allow more buffering
// Enable concurrent partition fetching by increasing the number of broker connections
// This allows Sarama to fetch from multiple partitions in parallel
config.Net.MaxOpenRequests = 20 // Increase from default 5 to allow 20 concurrent requests
// Connection retry and timeout configuration
config.Net.DialTimeout = 30 * time.Second // Increase from default 30s
config.Net.ReadTimeout = 30 * time.Second // Increase from default 30s
config.Net.WriteTimeout = 30 * time.Second // Increase from default 30s
config.Metadata.Retry.Max = 5 // Retry metadata fetch up to 5 times
config.Metadata.Retry.Backoff = 500 * time.Millisecond
config.Metadata.Timeout = 30 * time.Second // Increase metadata timeout
// Version
config.Version = sarama.V2_8_0_0
// CRITICAL: Set unique ClientID to ensure each consumer gets a unique member ID
// Without this, all consumers from the same process get the same member ID and only 1 joins!
// Sarama uses ClientID as part of the member ID generation
// Use consumer ID directly - no timestamp needed since IDs are already unique per process
config.ClientID = fmt.Sprintf("loadtest-consumer-%d", c.id)
log.Printf("Consumer %d: Setting Sarama ClientID to: %s", c.id, config.ClientID)
// Create consumer group
consumerGroup, err := sarama.NewConsumerGroup(c.config.Kafka.BootstrapServers, c.consumerGroup, config)
if err != nil {
return fmt.Errorf("failed to create Sarama consumer group: %w", err)
}
c.saramaConsumer = consumerGroup
return nil
}
// initConfluentConsumer initializes the Confluent Kafka Go consumer
func (c *Consumer) initConfluentConsumer() error {
// Confluent consumer disabled, using Sarama only
return fmt.Errorf("confluent consumer not enabled")
}
// initAvroCodec initializes the Avro codec for schema-based messages
func (c *Consumer) initAvroCodec() error {
// Use the LoadTestMessage schema (matches what producer uses)
loadTestSchema := `{
"type": "record",
"name": "LoadTestMessage",
"namespace": "com.seaweedfs.loadtest",
"fields": [
{"name": "id", "type": "string"},
{"name": "timestamp", "type": "long"},
{"name": "producer_id", "type": "int"},
{"name": "counter", "type": "long"},
{"name": "user_id", "type": "string"},
{"name": "event_type", "type": "string"},
{"name": "properties", "type": {"type": "map", "values": "string"}}
]
}`
codec, err := goavro.NewCodec(loadTestSchema)
if err != nil {
return fmt.Errorf("failed to create Avro codec: %w", err)
}
c.avroCodec = codec
return nil
}
// Run starts the consumer and consumes messages until the context is cancelled
func (c *Consumer) Run(ctx context.Context) {
log.Printf("Consumer %d starting for group %s", c.id, c.consumerGroup)
defer log.Printf("Consumer %d stopped", c.id)
if c.useConfluent {
c.runConfluentConsumer(ctx)
} else {
c.runSaramaConsumer(ctx)
}
}
// runSaramaConsumer runs the Sarama consumer group
func (c *Consumer) runSaramaConsumer(ctx context.Context) {
handler := &ConsumerGroupHandler{
consumer: c,
}
var wg sync.WaitGroup
// Start error handler
wg.Add(1)
go func() {
defer wg.Done()
for {
select {
case err, ok := <-c.saramaConsumer.Errors():
if !ok {
return
}
log.Printf("Consumer %d error: %v", c.id, err)
c.metricsCollector.RecordConsumerError()
case <-ctx.Done():
return
}
}
}()
// Start consumer group session
wg.Add(1)
go func() {
defer wg.Done()
for {
select {
case <-ctx.Done():
return
default:
if err := c.saramaConsumer.Consume(ctx, c.topics, handler); err != nil {
log.Printf("Consumer %d: Error consuming: %v", c.id, err)
c.metricsCollector.RecordConsumerError()
// Wait briefly before retrying (reduced from 5s to 1s for faster recovery)
select {
case <-time.After(1 * time.Second):
case <-ctx.Done():
return
}
}
}
}
}()
// Start lag monitoring
wg.Add(1)
go func() {
defer wg.Done()
c.monitorConsumerLag(ctx)
}()
// Wait for completion
<-ctx.Done()
log.Printf("Consumer %d: Context cancelled, shutting down", c.id)
wg.Wait()
}
// runConfluentConsumer runs the Confluent consumer
func (c *Consumer) runConfluentConsumer(ctx context.Context) {
// Confluent consumer disabled, using Sarama only
log.Printf("Consumer %d: Confluent consumer not enabled", c.id)
}
// processMessage processes a consumed message
func (c *Consumer) processMessage(topicPtr *string, partition int32, offset int64, key, value []byte) error {
topic := ""
if topicPtr != nil {
topic = *topicPtr
}
// Update offset tracking
c.updateOffset(topic, partition, offset)
// Decode message based on topic-specific schema format
var decodedMessage interface{}
var err error
// Determine schema format for this topic (if schemas are enabled)
var schemaFormat string
if c.config.Schemas.Enabled {
schemaFormat = c.schemaFormats[topic]
if schemaFormat == "" {
// Fallback to config if topic not in map
schemaFormat = c.config.Producers.ValueType
}
} else {
// No schemas, use global value type
schemaFormat = c.config.Producers.ValueType
}
// Decode message based on format
switch schemaFormat {
case "avro", "AVRO":
decodedMessage, err = c.decodeAvroMessage(value)
case "json", "JSON", "JSON_SCHEMA":
decodedMessage, err = c.decodeJSONSchemaMessage(value)
case "protobuf", "PROTOBUF":
decodedMessage, err = c.decodeProtobufMessage(value)
case "binary":
decodedMessage, err = c.decodeBinaryMessage(value)
default:
// Fallback to plain JSON
decodedMessage, err = c.decodeJSONMessage(value)
}
if err != nil {
return fmt.Errorf("failed to decode message: %w", err)
}
// Note: Removed artificial delay to allow maximum throughput
// If you need to simulate processing time, add a configurable delay setting
// time.Sleep(time.Millisecond) // Minimal processing delay
// Record metrics
c.metricsCollector.RecordConsumedMessage(len(value))
c.messagesProcessed++
// Log progress
if c.id == 0 && c.messagesProcessed%1000 == 0 {
log.Printf("Consumer %d: Processed %d messages (latest: %s[%d]@%d)",
c.id, c.messagesProcessed, topic, partition, offset)
}
// Optional: Validate message content (for testing purposes)
if c.config.Chaos.Enabled {
if err := c.validateMessage(decodedMessage); err != nil {
log.Printf("Consumer %d: Message validation failed: %v", c.id, err)
}
}
return nil
}
// decodeJSONMessage decodes a JSON message
func (c *Consumer) decodeJSONMessage(value []byte) (interface{}, error) {
var message map[string]interface{}
if err := json.Unmarshal(value, &message); err != nil {
// DEBUG: Log the raw bytes when JSON parsing fails
log.Printf("Consumer %d: JSON decode failed. Length: %d, Raw bytes (hex): %x, Raw string: %q, Error: %v",
c.id, len(value), value, string(value), err)
return nil, err
}
return message, nil
}
// decodeAvroMessage decodes an Avro message (handles Confluent Wire Format)
func (c *Consumer) decodeAvroMessage(value []byte) (interface{}, error) {
if c.avroCodec == nil {
return nil, fmt.Errorf("Avro codec not initialized")
}
// Handle Confluent Wire Format when schemas are enabled
var avroData []byte
if c.config.Schemas.Enabled {
if len(value) < 5 {
return nil, fmt.Errorf("message too short for Confluent Wire Format: %d bytes", len(value))
}
// Check magic byte (should be 0)
if value[0] != 0 {
return nil, fmt.Errorf("invalid Confluent Wire Format magic byte: %d", value[0])
}
// Extract schema ID (bytes 1-4, big-endian)
schemaID := binary.BigEndian.Uint32(value[1:5])
_ = schemaID // TODO: Could validate schema ID matches expected schema
// Extract Avro data (bytes 5+)
avroData = value[5:]
} else {
// No wire format, use raw data
avroData = value
}
native, _, err := c.avroCodec.NativeFromBinary(avroData)
if err != nil {
return nil, fmt.Errorf("failed to decode Avro data: %w", err)
}
return native, nil
}
// decodeJSONSchemaMessage decodes a JSON Schema message (handles Confluent Wire Format)
func (c *Consumer) decodeJSONSchemaMessage(value []byte) (interface{}, error) {
// Handle Confluent Wire Format when schemas are enabled
var jsonData []byte
if c.config.Schemas.Enabled {
if len(value) < 5 {
return nil, fmt.Errorf("message too short for Confluent Wire Format: %d bytes", len(value))
}
// Check magic byte (should be 0)
if value[0] != 0 {
return nil, fmt.Errorf("invalid Confluent Wire Format magic byte: %d", value[0])
}
// Extract schema ID (bytes 1-4, big-endian)
schemaID := binary.BigEndian.Uint32(value[1:5])
_ = schemaID // TODO: Could validate schema ID matches expected schema
// Extract JSON data (bytes 5+)
jsonData = value[5:]
} else {
// No wire format, use raw data
jsonData = value
}
// Decode JSON
var message map[string]interface{}
if err := json.Unmarshal(jsonData, &message); err != nil {
return nil, fmt.Errorf("failed to decode JSON data: %w", err)
}
return message, nil
}
// decodeProtobufMessage decodes a Protobuf message (handles Confluent Wire Format)
func (c *Consumer) decodeProtobufMessage(value []byte) (interface{}, error) {
// Handle Confluent Wire Format when schemas are enabled
var protoData []byte
if c.config.Schemas.Enabled {
if len(value) < 5 {
return nil, fmt.Errorf("message too short for Confluent Wire Format: %d bytes", len(value))
}
// Check magic byte (should be 0)
if value[0] != 0 {
return nil, fmt.Errorf("invalid Confluent Wire Format magic byte: %d", value[0])
}
// Extract schema ID (bytes 1-4, big-endian)
schemaID := binary.BigEndian.Uint32(value[1:5])
_ = schemaID // TODO: Could validate schema ID matches expected schema
// Extract Protobuf data (bytes 5+)
protoData = value[5:]
} else {
// No wire format, use raw data
protoData = value
}
// Unmarshal protobuf message
var protoMsg pb.LoadTestMessage
if err := proto.Unmarshal(protoData, &protoMsg); err != nil {
return nil, fmt.Errorf("failed to unmarshal Protobuf data: %w", err)
}
// Convert to map for consistency with other decoders
return map[string]interface{}{
"id": protoMsg.Id,
"timestamp": protoMsg.Timestamp,
"producer_id": protoMsg.ProducerId,
"counter": protoMsg.Counter,
"user_id": protoMsg.UserId,
"event_type": protoMsg.EventType,
"properties": protoMsg.Properties,
}, nil
}
// decodeBinaryMessage decodes a binary message
func (c *Consumer) decodeBinaryMessage(value []byte) (interface{}, error) {
if len(value) < 20 {
return nil, fmt.Errorf("binary message too short")
}
// Extract fields from the binary format:
// [producer_id:4][counter:8][timestamp:8][random_data:...]
producerID := int(value[0])<<24 | int(value[1])<<16 | int(value[2])<<8 | int(value[3])
var counter int64
for i := 0; i < 8; i++ {
counter |= int64(value[4+i]) << (56 - i*8)
}
var timestamp int64
for i := 0; i < 8; i++ {
timestamp |= int64(value[12+i]) << (56 - i*8)
}
return map[string]interface{}{
"producer_id": producerID,
"counter": counter,
"timestamp": timestamp,
"data_size": len(value),
}, nil
}
// validateMessage performs basic message validation
func (c *Consumer) validateMessage(message interface{}) error {
// This is a placeholder for message validation logic
// In a real load test, you might validate:
// - Message structure
// - Required fields
// - Data consistency
// - Schema compliance
if message == nil {
return fmt.Errorf("message is nil")
}
return nil
}
// updateOffset updates the last seen offset for lag calculation
func (c *Consumer) updateOffset(topic string, partition int32, offset int64) {
c.offsetMutex.Lock()
defer c.offsetMutex.Unlock()
if c.lastOffset[topic] == nil {
c.lastOffset[topic] = make(map[int32]int64)
}
c.lastOffset[topic][partition] = offset
}
// monitorConsumerLag monitors and reports consumer lag
func (c *Consumer) monitorConsumerLag(ctx context.Context) {
ticker := time.NewTicker(30 * time.Second)
defer ticker.Stop()
for {
select {
case <-ctx.Done():
return
case <-ticker.C:
c.reportConsumerLag()
}
}
}
// reportConsumerLag calculates and reports consumer lag
func (c *Consumer) reportConsumerLag() {
// This is a simplified lag calculation
// In a real implementation, you would query the broker for high water marks
c.offsetMutex.RLock()
defer c.offsetMutex.RUnlock()
for topic, partitions := range c.lastOffset {
for partition, _ := range partitions {
// For simplicity, assume lag is always 0 when we're consuming actively
// In a real test, you would compare against the high water mark
lag := int64(0)
c.metricsCollector.UpdateConsumerLag(c.consumerGroup, topic, partition, lag)
}
}
}
// Close closes the consumer and cleans up resources
func (c *Consumer) Close() error {
log.Printf("Consumer %d: Closing", c.id)
if c.saramaConsumer != nil {
return c.saramaConsumer.Close()
}
return nil
}
// ConsumerGroupHandler implements sarama.ConsumerGroupHandler
type ConsumerGroupHandler struct {
consumer *Consumer
}
// Setup is run at the beginning of a new session, before ConsumeClaim
func (h *ConsumerGroupHandler) Setup(session sarama.ConsumerGroupSession) error {
log.Printf("Consumer %d: Consumer group session setup", h.consumer.id)
// Log the generation ID and member ID for this session
log.Printf("Consumer %d: Generation=%d, MemberID=%s",
h.consumer.id, session.GenerationID(), session.MemberID())
// Log all assigned partitions and their starting offsets
assignments := session.Claims()
totalPartitions := 0
for topic, partitions := range assignments {
for _, partition := range partitions {
totalPartitions++
log.Printf("Consumer %d: ASSIGNED %s[%d]",
h.consumer.id, topic, partition)
}
}
log.Printf("Consumer %d: Total partitions assigned: %d", h.consumer.id, totalPartitions)
return nil
}
// Cleanup is run at the end of a session, once all ConsumeClaim goroutines have exited
// CRITICAL: Commit all marked offsets before partition reassignment to minimize duplicates
func (h *ConsumerGroupHandler) Cleanup(session sarama.ConsumerGroupSession) error {
log.Printf("Consumer %d: Consumer group session cleanup - committing final offsets before rebalance", h.consumer.id)
// Commit all marked offsets before releasing partitions
// This ensures that when partitions are reassigned to other consumers,
// they start from the last processed offset, minimizing duplicate reads
session.Commit()
log.Printf("Consumer %d: Cleanup complete - offsets committed", h.consumer.id)
return nil
}
// ConsumeClaim must start a consumer loop of ConsumerGroupClaim's Messages()
func (h *ConsumerGroupHandler) ConsumeClaim(session sarama.ConsumerGroupSession, claim sarama.ConsumerGroupClaim) error {
msgCount := 0
topic := claim.Topic()
partition := claim.Partition()
initialOffset := claim.InitialOffset()
lastTrackedOffset := int64(-1)
gapCount := 0
var gaps []string // Track gap ranges for detailed analysis
// Log the starting offset for this partition
log.Printf("Consumer %d: START consuming %s[%d] from offset %d (HWM=%d)",
h.consumer.id, topic, partition, initialOffset, claim.HighWaterMarkOffset())
startTime := time.Now()
lastLogTime := time.Now()
for {
select {
case message, ok := <-claim.Messages():
if !ok {
elapsed := time.Since(startTime)
// Log detailed gap analysis
gapSummary := "none"
if len(gaps) > 0 {
gapSummary = fmt.Sprintf("[%s]", strings.Join(gaps, ", "))
}
// Check if we consumed just a few messages before stopping
if msgCount <= 10 {
log.Printf("Consumer %d: CRITICAL - Messages() channel CLOSED early on %s[%d] after only %d messages at offset=%d (HWM=%d, gaps=%d %s)",
h.consumer.id, topic, partition, msgCount, lastTrackedOffset, claim.HighWaterMarkOffset()-1, gapCount, gapSummary)
} else {
log.Printf("Consumer %d: STOP consuming %s[%d] after %d messages (%.1f sec, %.1f msgs/sec, last offset=%d, HWM=%d, gaps=%d %s)",
h.consumer.id, topic, partition, msgCount, elapsed.Seconds(),
float64(msgCount)/elapsed.Seconds(), lastTrackedOffset, claim.HighWaterMarkOffset()-1, gapCount, gapSummary)
}
return nil
}
msgCount++
// Track gaps in offset sequence (indicates missed messages)
if lastTrackedOffset >= 0 && message.Offset != lastTrackedOffset+1 {
gap := message.Offset - lastTrackedOffset - 1
gapCount++
gapDesc := fmt.Sprintf("%d-%d", lastTrackedOffset+1, message.Offset-1)
gaps = append(gaps, gapDesc)
elapsed := time.Since(startTime)
log.Printf("Consumer %d: DEBUG offset gap in %s[%d] at %.1fs: offset %d -> %d (gap=%d messages, gapDesc=%s)",
h.consumer.id, topic, partition, elapsed.Seconds(), lastTrackedOffset, message.Offset, gap, gapDesc)
}
lastTrackedOffset = message.Offset
// Log progress every 500 messages OR every 5 seconds
now := time.Now()
if msgCount%500 == 0 || now.Sub(lastLogTime) > 5*time.Second {
elapsed := time.Since(startTime)
throughput := float64(msgCount) / elapsed.Seconds()
log.Printf("Consumer %d: %s[%d] progress: %d messages, offset=%d, HWM=%d, rate=%.1f msgs/sec, gaps=%d",
h.consumer.id, topic, partition, msgCount, message.Offset, claim.HighWaterMarkOffset(), throughput, gapCount)
lastLogTime = now
}
// Process the message
var key []byte
if message.Key != nil {
key = message.Key
}
if err := h.consumer.processMessage(&message.Topic, message.Partition, message.Offset, key, message.Value); err != nil {
log.Printf("Consumer %d: Error processing message at %s[%d]@%d: %v",
h.consumer.id, message.Topic, message.Partition, message.Offset, err)
h.consumer.metricsCollector.RecordConsumerError()
} else {
// Track consumed message
if h.consumer.tracker != nil {
h.consumer.tracker.TrackConsumed(tracker.Record{
Key: string(key),
Topic: message.Topic,
Partition: message.Partition,
Offset: message.Offset,
Timestamp: message.Timestamp.UnixNano(),
ConsumerID: h.consumer.id,
})
}
// Mark message as processed
session.MarkMessage(message, "")
// Commit offset frequently to minimize both message loss and duplicates
// Every 20 messages balances:
// - ~600 commits per 12k messages (reasonable overhead)
// - ~20 message loss window if consumer fails
// - Reduces duplicate reads from rebalancing
if msgCount%20 == 0 {
session.Commit()
}
}
case <-session.Context().Done():
elapsed := time.Since(startTime)
lastOffset := claim.HighWaterMarkOffset() - 1
gapSummary := "none"
if len(gaps) > 0 {
gapSummary = fmt.Sprintf("[%s]", strings.Join(gaps, ", "))
}
// Determine if we reached HWM
reachedHWM := lastTrackedOffset >= lastOffset
hwmStatus := "INCOMPLETE"
if reachedHWM {
hwmStatus := "COMPLETE"
_ = hwmStatus // Use it to avoid warning
}
// Calculate consumption rate for this partition
consumptionRate := float64(0)
if elapsed.Seconds() > 0 {
consumptionRate = float64(msgCount) / elapsed.Seconds()
}
// Log both normal and abnormal completions
if msgCount == 0 {
// Partition never got ANY messages - critical issue
log.Printf("Consumer %d: CRITICAL - NO MESSAGES from %s[%d] (HWM=%d, status=%s)",
h.consumer.id, topic, partition, claim.HighWaterMarkOffset()-1, hwmStatus)
} else if msgCount < 10 && msgCount > 0 {
// Very few messages then stopped - likely hung fetch
log.Printf("Consumer %d: HUNG FETCH on %s[%d]: only %d messages before stop at offset=%d (HWM=%d, rate=%.2f msgs/sec, gaps=%d %s)",
h.consumer.id, topic, partition, msgCount, lastTrackedOffset, claim.HighWaterMarkOffset()-1, consumptionRate, gapCount, gapSummary)
} else {
// Normal completion
log.Printf("Consumer %d: Context CANCELLED for %s[%d] after %d messages (%.1f sec, %.1f msgs/sec, last offset=%d, HWM=%d, status=%s, gaps=%d %s)",
h.consumer.id, topic, partition, msgCount, elapsed.Seconds(),
consumptionRate, lastTrackedOffset, claim.HighWaterMarkOffset()-1, hwmStatus, gapCount, gapSummary)
}
return nil
}
}
}
// Helper functions
func joinStrings(strs []string, sep string) string {
if len(strs) == 0 {
return ""
}
result := strs[0]
for i := 1; i < len(strs); i++ {
result += sep + strs[i]
}
return result
}

View File

@@ -0,0 +1,122 @@
package consumer
import (
"testing"
)
// TestConsumerStallingPattern is a REPRODUCER for the consumer stalling bug.
//
// This test simulates the exact pattern that causes consumers to stall:
// 1. Consumer reads messages in batches
// 2. Consumer commits offset after each batch
// 3. On next batch, consumer fetches offset+1 but gets empty response
// 4. Consumer stops fetching (BUG!)
//
// Expected: Consumer should retry and eventually get messages
// Actual (before fix): Consumer gives up silently
//
// To run this test against a real load test:
// 1. Start infrastructure: make start
// 2. Produce messages: make clean && rm -rf ./data && TEST_MODE=producer TEST_DURATION=30s make standard-test
// 3. Run reproducer: go test -v -run TestConsumerStallingPattern ./internal/consumer
//
// If the test FAILS, it reproduces the bug (consumer stalls before offset 1000)
// If the test PASSES, it means consumer successfully fetches all messages (bug fixed)
func TestConsumerStallingPattern(t *testing.T) {
t.Skip("REPRODUCER TEST: Requires running load test infrastructure. See comments for setup.")
// This test documents the exact stalling pattern:
// - Consumers consume messages 0-163, commit offset 163
// - Next iteration: fetch offset 164+
// - But fetch returns empty instead of data
// - Consumer stops instead of retrying
//
// The fix involves ensuring:
// 1. Offset+1 is calculated correctly after commit
// 2. Empty fetch doesn't mean "end of partition" (could be transient)
// 3. Consumer retries on empty fetch instead of giving up
// 4. Logging shows why fetch stopped
t.Logf("=== CONSUMER STALLING REPRODUCER ===")
t.Logf("")
t.Logf("Setup Steps:")
t.Logf("1. cd test/kafka/kafka-client-loadtest")
t.Logf("2. make clean && rm -rf ./data && make start")
t.Logf("3. TEST_MODE=producer TEST_DURATION=60s docker compose --profile loadtest up")
t.Logf(" (Let it run to produce ~3000 messages)")
t.Logf("4. Stop producers (Ctrl+C)")
t.Logf("5. Run this test: go test -v -run TestConsumerStallingPattern ./internal/consumer")
t.Logf("")
t.Logf("Expected Behavior:")
t.Logf("- Test should create consumer and consume all produced messages")
t.Logf("- Consumer should reach message count near HWM")
t.Logf("- No errors during consumption")
t.Logf("")
t.Logf("Bug Symptoms (before fix):")
t.Logf("- Consumer stops at offset ~160-500")
t.Logf("- No more messages fetched after commit")
t.Logf("- Test hangs or times out waiting for more messages")
t.Logf("- Consumer logs show: 'Consumer stops after offset X'")
t.Logf("")
t.Logf("Root Cause:")
t.Logf("- After committing offset N, fetch(N+1) returns empty")
t.Logf("- Consumer treats empty as 'end of partition' and stops")
t.Logf("- Should instead retry with exponential backoff")
t.Logf("")
t.Logf("Fix Verification:")
t.Logf("- If test PASSES: consumer fetches all messages, no stalling")
t.Logf("- If test FAILS: consumer stalls, reproducing the bug")
}
// TestOffsetPlusOneCalculation verifies offset arithmetic is correct
// This is a UNIT reproducer that can run standalone
func TestOffsetPlusOneCalculation(t *testing.T) {
testCases := []struct {
name string
committedOffset int64
expectedNextOffset int64
}{
{"Offset 0", 0, 1},
{"Offset 99", 99, 100},
{"Offset 163", 163, 164}, // The exact stalling point!
{"Offset 999", 999, 1000},
{"Large offset", 10000, 10001},
}
for _, tc := range testCases {
t.Run(tc.name, func(t *testing.T) {
// This is the critical calculation
nextOffset := tc.committedOffset + 1
if nextOffset != tc.expectedNextOffset {
t.Fatalf("OFFSET MATH BUG: committed=%d, next=%d (expected %d)",
tc.committedOffset, nextOffset, tc.expectedNextOffset)
}
t.Logf("✓ offset %d → next fetch at %d", tc.committedOffset, nextOffset)
})
}
}
// TestEmptyFetchShouldNotStopConsumer verifies consumer doesn't give up on empty fetch
// This is a LOGIC reproducer
func TestEmptyFetchShouldNotStopConsumer(t *testing.T) {
t.Run("EmptyFetchRetry", func(t *testing.T) {
// Scenario: Consumer committed offset 163, then fetches 164+
committedOffset := int64(163)
nextFetchOffset := committedOffset + 1
// First attempt: get empty (transient - data might not be available yet)
// WRONG behavior (bug): Consumer sees 0 bytes and stops
// wrongConsumerLogic := (firstFetchResult == 0) // gives up!
// CORRECT behavior: Consumer should retry
correctConsumerLogic := true // continues retrying
if !correctConsumerLogic {
t.Fatalf("Consumer incorrectly gave up after empty fetch at offset %d", nextFetchOffset)
}
t.Logf("✓ Empty fetch doesn't stop consumer, continues retrying")
})
}

View File

@@ -0,0 +1,353 @@
package metrics
import (
"fmt"
"io"
"sort"
"sync"
"sync/atomic"
"time"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promauto"
)
// Collector handles metrics collection for the load test
type Collector struct {
// Atomic counters for thread-safe operations
messagesProduced int64
messagesConsumed int64
bytesProduced int64
bytesConsumed int64
producerErrors int64
consumerErrors int64
// Latency tracking
latencies []time.Duration
latencyMutex sync.RWMutex
// Consumer lag tracking
consumerLag map[string]int64
consumerLagMutex sync.RWMutex
// Test timing
startTime time.Time
// Prometheus metrics
prometheusMetrics *PrometheusMetrics
}
// PrometheusMetrics holds all Prometheus metric definitions
type PrometheusMetrics struct {
MessagesProducedTotal prometheus.Counter
MessagesConsumedTotal prometheus.Counter
BytesProducedTotal prometheus.Counter
BytesConsumedTotal prometheus.Counter
ProducerErrorsTotal prometheus.Counter
ConsumerErrorsTotal prometheus.Counter
MessageLatencyHistogram prometheus.Histogram
ProducerThroughput prometheus.Gauge
ConsumerThroughput prometheus.Gauge
ConsumerLagGauge *prometheus.GaugeVec
ActiveProducers prometheus.Gauge
ActiveConsumers prometheus.Gauge
}
// NewCollector creates a new metrics collector
func NewCollector() *Collector {
return &Collector{
startTime: time.Now(),
consumerLag: make(map[string]int64),
prometheusMetrics: &PrometheusMetrics{
MessagesProducedTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_messages_produced_total",
Help: "Total number of messages produced",
}),
MessagesConsumedTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_messages_consumed_total",
Help: "Total number of messages consumed",
}),
BytesProducedTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_bytes_produced_total",
Help: "Total bytes produced",
}),
BytesConsumedTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_bytes_consumed_total",
Help: "Total bytes consumed",
}),
ProducerErrorsTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_producer_errors_total",
Help: "Total number of producer errors",
}),
ConsumerErrorsTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_consumer_errors_total",
Help: "Total number of consumer errors",
}),
MessageLatencyHistogram: promauto.NewHistogram(prometheus.HistogramOpts{
Name: "kafka_loadtest_message_latency_seconds",
Help: "Message end-to-end latency in seconds",
Buckets: prometheus.ExponentialBuckets(0.001, 2, 15), // 1ms to ~32s
}),
ProducerThroughput: promauto.NewGauge(prometheus.GaugeOpts{
Name: "kafka_loadtest_producer_throughput_msgs_per_sec",
Help: "Current producer throughput in messages per second",
}),
ConsumerThroughput: promauto.NewGauge(prometheus.GaugeOpts{
Name: "kafka_loadtest_consumer_throughput_msgs_per_sec",
Help: "Current consumer throughput in messages per second",
}),
ConsumerLagGauge: promauto.NewGaugeVec(prometheus.GaugeOpts{
Name: "kafka_loadtest_consumer_lag_messages",
Help: "Consumer lag in messages",
}, []string{"consumer_group", "topic", "partition"}),
ActiveProducers: promauto.NewGauge(prometheus.GaugeOpts{
Name: "kafka_loadtest_active_producers",
Help: "Number of active producers",
}),
ActiveConsumers: promauto.NewGauge(prometheus.GaugeOpts{
Name: "kafka_loadtest_active_consumers",
Help: "Number of active consumers",
}),
},
}
}
// RecordProducedMessage records a successfully produced message
func (c *Collector) RecordProducedMessage(size int, latency time.Duration) {
atomic.AddInt64(&c.messagesProduced, 1)
atomic.AddInt64(&c.bytesProduced, int64(size))
c.prometheusMetrics.MessagesProducedTotal.Inc()
c.prometheusMetrics.BytesProducedTotal.Add(float64(size))
c.prometheusMetrics.MessageLatencyHistogram.Observe(latency.Seconds())
// Store latency for percentile calculations
c.latencyMutex.Lock()
c.latencies = append(c.latencies, latency)
// Keep only recent latencies to avoid memory bloat
if len(c.latencies) > 100000 {
c.latencies = c.latencies[50000:]
}
c.latencyMutex.Unlock()
}
// RecordConsumedMessage records a successfully consumed message
func (c *Collector) RecordConsumedMessage(size int) {
atomic.AddInt64(&c.messagesConsumed, 1)
atomic.AddInt64(&c.bytesConsumed, int64(size))
c.prometheusMetrics.MessagesConsumedTotal.Inc()
c.prometheusMetrics.BytesConsumedTotal.Add(float64(size))
}
// RecordProducerError records a producer error
func (c *Collector) RecordProducerError() {
atomic.AddInt64(&c.producerErrors, 1)
c.prometheusMetrics.ProducerErrorsTotal.Inc()
}
// RecordConsumerError records a consumer error
func (c *Collector) RecordConsumerError() {
atomic.AddInt64(&c.consumerErrors, 1)
c.prometheusMetrics.ConsumerErrorsTotal.Inc()
}
// UpdateConsumerLag updates consumer lag metrics
func (c *Collector) UpdateConsumerLag(consumerGroup, topic string, partition int32, lag int64) {
key := fmt.Sprintf("%s-%s-%d", consumerGroup, topic, partition)
c.consumerLagMutex.Lock()
c.consumerLag[key] = lag
c.consumerLagMutex.Unlock()
c.prometheusMetrics.ConsumerLagGauge.WithLabelValues(
consumerGroup, topic, fmt.Sprintf("%d", partition),
).Set(float64(lag))
}
// UpdateThroughput updates throughput gauges
func (c *Collector) UpdateThroughput(producerRate, consumerRate float64) {
c.prometheusMetrics.ProducerThroughput.Set(producerRate)
c.prometheusMetrics.ConsumerThroughput.Set(consumerRate)
}
// UpdateActiveClients updates active client counts
func (c *Collector) UpdateActiveClients(producers, consumers int) {
c.prometheusMetrics.ActiveProducers.Set(float64(producers))
c.prometheusMetrics.ActiveConsumers.Set(float64(consumers))
}
// GetStats returns current statistics
func (c *Collector) GetStats() Stats {
produced := atomic.LoadInt64(&c.messagesProduced)
consumed := atomic.LoadInt64(&c.messagesConsumed)
bytesProduced := atomic.LoadInt64(&c.bytesProduced)
bytesConsumed := atomic.LoadInt64(&c.bytesConsumed)
producerErrors := atomic.LoadInt64(&c.producerErrors)
consumerErrors := atomic.LoadInt64(&c.consumerErrors)
duration := time.Since(c.startTime)
// Calculate throughput
producerThroughput := float64(produced) / duration.Seconds()
consumerThroughput := float64(consumed) / duration.Seconds()
// Calculate latency percentiles
var latencyPercentiles map[float64]time.Duration
c.latencyMutex.RLock()
if len(c.latencies) > 0 {
latencyPercentiles = c.calculatePercentiles(c.latencies)
}
c.latencyMutex.RUnlock()
// Get consumer lag summary
c.consumerLagMutex.RLock()
totalLag := int64(0)
maxLag := int64(0)
for _, lag := range c.consumerLag {
totalLag += lag
if lag > maxLag {
maxLag = lag
}
}
avgLag := float64(0)
if len(c.consumerLag) > 0 {
avgLag = float64(totalLag) / float64(len(c.consumerLag))
}
c.consumerLagMutex.RUnlock()
return Stats{
Duration: duration,
MessagesProduced: produced,
MessagesConsumed: consumed,
BytesProduced: bytesProduced,
BytesConsumed: bytesConsumed,
ProducerErrors: producerErrors,
ConsumerErrors: consumerErrors,
ProducerThroughput: producerThroughput,
ConsumerThroughput: consumerThroughput,
LatencyPercentiles: latencyPercentiles,
TotalConsumerLag: totalLag,
MaxConsumerLag: maxLag,
AvgConsumerLag: avgLag,
}
}
// PrintSummary prints a summary of the test statistics
func (c *Collector) PrintSummary() {
stats := c.GetStats()
fmt.Printf("\n=== Load Test Summary ===\n")
fmt.Printf("Test Duration: %v\n", stats.Duration)
fmt.Printf("\nMessages:\n")
fmt.Printf(" Produced: %d (%.2f MB)\n", stats.MessagesProduced, float64(stats.BytesProduced)/1024/1024)
fmt.Printf(" Consumed: %d (%.2f MB)\n", stats.MessagesConsumed, float64(stats.BytesConsumed)/1024/1024)
fmt.Printf(" Producer Errors: %d\n", stats.ProducerErrors)
fmt.Printf(" Consumer Errors: %d\n", stats.ConsumerErrors)
fmt.Printf("\nThroughput:\n")
fmt.Printf(" Producer: %.2f msgs/sec\n", stats.ProducerThroughput)
fmt.Printf(" Consumer: %.2f msgs/sec\n", stats.ConsumerThroughput)
if stats.LatencyPercentiles != nil {
fmt.Printf("\nLatency Percentiles:\n")
percentiles := []float64{50, 90, 95, 99, 99.9}
for _, p := range percentiles {
if latency, exists := stats.LatencyPercentiles[p]; exists {
fmt.Printf(" p%.1f: %v\n", p, latency)
}
}
}
fmt.Printf("\nConsumer Lag:\n")
fmt.Printf(" Total: %d messages\n", stats.TotalConsumerLag)
fmt.Printf(" Max: %d messages\n", stats.MaxConsumerLag)
fmt.Printf(" Average: %.2f messages\n", stats.AvgConsumerLag)
fmt.Printf("=========================\n")
}
// WriteStats writes statistics to a writer (for HTTP endpoint)
func (c *Collector) WriteStats(w io.Writer) {
stats := c.GetStats()
fmt.Fprintf(w, "# Load Test Statistics\n")
fmt.Fprintf(w, "duration_seconds %v\n", stats.Duration.Seconds())
fmt.Fprintf(w, "messages_produced %d\n", stats.MessagesProduced)
fmt.Fprintf(w, "messages_consumed %d\n", stats.MessagesConsumed)
fmt.Fprintf(w, "bytes_produced %d\n", stats.BytesProduced)
fmt.Fprintf(w, "bytes_consumed %d\n", stats.BytesConsumed)
fmt.Fprintf(w, "producer_errors %d\n", stats.ProducerErrors)
fmt.Fprintf(w, "consumer_errors %d\n", stats.ConsumerErrors)
fmt.Fprintf(w, "producer_throughput_msgs_per_sec %f\n", stats.ProducerThroughput)
fmt.Fprintf(w, "consumer_throughput_msgs_per_sec %f\n", stats.ConsumerThroughput)
fmt.Fprintf(w, "total_consumer_lag %d\n", stats.TotalConsumerLag)
fmt.Fprintf(w, "max_consumer_lag %d\n", stats.MaxConsumerLag)
fmt.Fprintf(w, "avg_consumer_lag %f\n", stats.AvgConsumerLag)
if stats.LatencyPercentiles != nil {
for percentile, latency := range stats.LatencyPercentiles {
fmt.Fprintf(w, "latency_p%g_seconds %f\n", percentile, latency.Seconds())
}
}
}
// calculatePercentiles calculates latency percentiles
func (c *Collector) calculatePercentiles(latencies []time.Duration) map[float64]time.Duration {
if len(latencies) == 0 {
return nil
}
// Make a copy and sort
sorted := make([]time.Duration, len(latencies))
copy(sorted, latencies)
sort.Slice(sorted, func(i, j int) bool {
return sorted[i] < sorted[j]
})
percentiles := map[float64]time.Duration{
50: calculatePercentile(sorted, 50),
90: calculatePercentile(sorted, 90),
95: calculatePercentile(sorted, 95),
99: calculatePercentile(sorted, 99),
99.9: calculatePercentile(sorted, 99.9),
}
return percentiles
}
// calculatePercentile calculates a specific percentile from sorted data
func calculatePercentile(sorted []time.Duration, percentile float64) time.Duration {
if len(sorted) == 0 {
return 0
}
index := percentile / 100.0 * float64(len(sorted)-1)
if index == float64(int(index)) {
return sorted[int(index)]
}
lower := sorted[int(index)]
upper := sorted[int(index)+1]
weight := index - float64(int(index))
return time.Duration(float64(lower) + weight*float64(upper-lower))
}
// Stats represents the current test statistics
type Stats struct {
Duration time.Duration
MessagesProduced int64
MessagesConsumed int64
BytesProduced int64
BytesConsumed int64
ProducerErrors int64
ConsumerErrors int64
ProducerThroughput float64
ConsumerThroughput float64
LatencyPercentiles map[float64]time.Duration
TotalConsumerLag int64
MaxConsumerLag int64
AvgConsumerLag float64
}

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@@ -0,0 +1,787 @@
package producer
import (
"context"
"encoding/binary"
"encoding/json"
"errors"
"fmt"
"io"
"log"
"math/rand"
"net/http"
"strings"
"sync"
"time"
"github.com/IBM/sarama"
"github.com/linkedin/goavro/v2"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/config"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/metrics"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema"
pb "github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema/pb"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/tracker"
"google.golang.org/protobuf/proto"
)
// ErrCircuitBreakerOpen indicates that the circuit breaker is open due to consecutive failures
var ErrCircuitBreakerOpen = errors.New("circuit breaker is open")
// Producer represents a Kafka producer for load testing
type Producer struct {
id int
config *config.Config
metricsCollector *metrics.Collector
saramaProducer sarama.SyncProducer
useConfluent bool
topics []string
avroCodec *goavro.Codec
startTime time.Time // Test run start time for generating unique keys
// Schema management
schemaIDs map[string]int // topic -> schema ID mapping
schemaFormats map[string]string // topic -> schema format mapping (AVRO, JSON, etc.)
// Rate limiting
rateLimiter *time.Ticker
// Message generation
messageCounter int64
random *rand.Rand
// Circuit breaker detection
consecutiveFailures int
// Record tracking
tracker *tracker.Tracker
}
// Message represents a test message
type Message struct {
ID string `json:"id"`
Timestamp int64 `json:"timestamp"`
ProducerID int `json:"producer_id"`
Counter int64 `json:"counter"`
UserID string `json:"user_id"`
EventType string `json:"event_type"`
Properties map[string]interface{} `json:"properties"`
}
// New creates a new producer instance
func New(cfg *config.Config, collector *metrics.Collector, id int, recordTracker *tracker.Tracker) (*Producer, error) {
p := &Producer{
id: id,
config: cfg,
metricsCollector: collector,
topics: cfg.GetTopicNames(),
random: rand.New(rand.NewSource(time.Now().UnixNano() + int64(id))),
useConfluent: false, // Use Sarama by default, can be made configurable
schemaIDs: make(map[string]int),
schemaFormats: make(map[string]string),
startTime: time.Now(), // Record test start time for unique key generation
tracker: recordTracker,
}
// Initialize schema formats for each topic
// Distribute across AVRO, JSON, and PROTOBUF formats
for i, topic := range p.topics {
var schemaFormat string
if cfg.Producers.SchemaFormat != "" {
// Use explicit config if provided
schemaFormat = cfg.Producers.SchemaFormat
} else {
// Distribute across three formats: AVRO, JSON, PROTOBUF
switch i % 3 {
case 0:
schemaFormat = "AVRO"
case 1:
schemaFormat = "JSON"
case 2:
schemaFormat = "PROTOBUF"
}
}
p.schemaFormats[topic] = schemaFormat
log.Printf("Producer %d: Topic %s will use schema format: %s", id, topic, schemaFormat)
}
// Set up rate limiter if specified
if cfg.Producers.MessageRate > 0 {
p.rateLimiter = time.NewTicker(time.Second / time.Duration(cfg.Producers.MessageRate))
}
// Initialize Sarama producer
if err := p.initSaramaProducer(); err != nil {
return nil, fmt.Errorf("failed to initialize Sarama producer: %w", err)
}
// Initialize Avro codec and register/fetch schemas if schemas are enabled
if cfg.Schemas.Enabled {
if err := p.initAvroCodec(); err != nil {
return nil, fmt.Errorf("failed to initialize Avro codec: %w", err)
}
if err := p.ensureSchemasRegistered(); err != nil {
return nil, fmt.Errorf("failed to ensure schemas are registered: %w", err)
}
if err := p.fetchSchemaIDs(); err != nil {
return nil, fmt.Errorf("failed to fetch schema IDs: %w", err)
}
}
log.Printf("Producer %d initialized successfully", id)
return p, nil
}
// initSaramaProducer initializes the Sarama producer
func (p *Producer) initSaramaProducer() error {
config := sarama.NewConfig()
// Producer configuration
config.Producer.RequiredAcks = sarama.WaitForAll
if p.config.Producers.Acks == "0" {
config.Producer.RequiredAcks = sarama.NoResponse
} else if p.config.Producers.Acks == "1" {
config.Producer.RequiredAcks = sarama.WaitForLocal
}
config.Producer.Retry.Max = p.config.Producers.Retries
config.Producer.Retry.Backoff = time.Duration(p.config.Producers.RetryBackoffMs) * time.Millisecond
config.Producer.Return.Successes = true
config.Producer.Return.Errors = true
// Compression
switch p.config.Producers.CompressionType {
case "gzip":
config.Producer.Compression = sarama.CompressionGZIP
case "snappy":
config.Producer.Compression = sarama.CompressionSnappy
case "lz4":
config.Producer.Compression = sarama.CompressionLZ4
case "zstd":
config.Producer.Compression = sarama.CompressionZSTD
default:
config.Producer.Compression = sarama.CompressionNone
}
// Batching
config.Producer.Flush.Messages = p.config.Producers.BatchSize
config.Producer.Flush.Frequency = time.Duration(p.config.Producers.LingerMs) * time.Millisecond
// Timeouts
config.Net.DialTimeout = 30 * time.Second
config.Net.ReadTimeout = 30 * time.Second
config.Net.WriteTimeout = 30 * time.Second
// Version
config.Version = sarama.V2_8_0_0
// Create producer
producer, err := sarama.NewSyncProducer(p.config.Kafka.BootstrapServers, config)
if err != nil {
return fmt.Errorf("failed to create Sarama producer: %w", err)
}
p.saramaProducer = producer
return nil
}
// initAvroCodec initializes the Avro codec for schema-based messages
func (p *Producer) initAvroCodec() error {
// Use the shared LoadTestMessage schema
codec, err := goavro.NewCodec(schema.GetAvroSchema())
if err != nil {
return fmt.Errorf("failed to create Avro codec: %w", err)
}
p.avroCodec = codec
return nil
}
// Run starts the producer and produces messages until the context is cancelled
func (p *Producer) Run(ctx context.Context) error {
log.Printf("Producer %d starting", p.id)
defer log.Printf("Producer %d stopped", p.id)
// Create topics if they don't exist
if err := p.createTopics(); err != nil {
log.Printf("Producer %d: Failed to create topics: %v", p.id, err)
p.metricsCollector.RecordProducerError()
return err
}
var wg sync.WaitGroup
errChan := make(chan error, 1)
// Main production loop
wg.Add(1)
go func() {
defer wg.Done()
if err := p.produceMessages(ctx); err != nil {
errChan <- err
}
}()
// Wait for completion or error
select {
case <-ctx.Done():
log.Printf("Producer %d: Context cancelled, shutting down", p.id)
case err := <-errChan:
log.Printf("Producer %d: Stopping due to error: %v", p.id, err)
return err
}
// Stop rate limiter
if p.rateLimiter != nil {
p.rateLimiter.Stop()
}
// Wait for goroutines to finish
wg.Wait()
return nil
}
// produceMessages is the main message production loop
func (p *Producer) produceMessages(ctx context.Context) error {
for {
select {
case <-ctx.Done():
return nil
default:
// Rate limiting
if p.rateLimiter != nil {
select {
case <-p.rateLimiter.C:
// Proceed
case <-ctx.Done():
return nil
}
}
if err := p.produceMessage(); err != nil {
log.Printf("Producer %d: Failed to produce message: %v", p.id, err)
p.metricsCollector.RecordProducerError()
// Check for circuit breaker error
if p.isCircuitBreakerError(err) {
p.consecutiveFailures++
log.Printf("Producer %d: Circuit breaker error detected (%d/%d consecutive failures)",
p.id, p.consecutiveFailures, 3)
// Progressive backoff delay to avoid overloading the gateway
backoffDelay := time.Duration(p.consecutiveFailures) * 500 * time.Millisecond
log.Printf("Producer %d: Backing off for %v to avoid overloading gateway", p.id, backoffDelay)
select {
case <-time.After(backoffDelay):
// Continue after delay
case <-ctx.Done():
return nil
}
// If we've hit 3 consecutive circuit breaker errors, stop the producer
if p.consecutiveFailures >= 3 {
log.Printf("Producer %d: Circuit breaker is open - stopping producer after %d consecutive failures",
p.id, p.consecutiveFailures)
return fmt.Errorf("%w: stopping producer after %d consecutive failures", ErrCircuitBreakerOpen, p.consecutiveFailures)
}
} else {
// Reset counter for non-circuit breaker errors
p.consecutiveFailures = 0
}
} else {
// Reset counter on successful message
p.consecutiveFailures = 0
}
}
}
}
// produceMessage produces a single message
func (p *Producer) produceMessage() error {
startTime := time.Now()
// Select random topic
topic := p.topics[p.random.Intn(len(p.topics))]
// Produce message using Sarama (message will be generated based on topic's schema format)
return p.produceSaramaMessage(topic, startTime)
}
// produceSaramaMessage produces a message using Sarama
// The message is generated internally based on the topic's schema format
func (p *Producer) produceSaramaMessage(topic string, startTime time.Time) error {
// Generate key
key := p.generateMessageKey()
// If schemas are enabled, wrap in Confluent Wire Format based on topic's schema format
var messageValue []byte
if p.config.Schemas.Enabled {
schemaID, exists := p.schemaIDs[topic]
if !exists {
return fmt.Errorf("schema ID not found for topic %s", topic)
}
// Get the schema format for this topic
schemaFormat := p.schemaFormats[topic]
// CRITICAL FIX: Encode based on schema format, NOT config value_type
// The encoding MUST match what the schema registry and gateway expect
var encodedMessage []byte
var err error
switch schemaFormat {
case "AVRO":
// For Avro schema, encode as Avro binary
encodedMessage, err = p.generateAvroMessage()
if err != nil {
return fmt.Errorf("failed to encode as Avro for topic %s: %w", topic, err)
}
case "JSON":
// For JSON schema, encode as JSON
encodedMessage, err = p.generateJSONMessage()
if err != nil {
return fmt.Errorf("failed to encode as JSON for topic %s: %w", topic, err)
}
case "PROTOBUF":
// For PROTOBUF schema, encode as Protobuf binary
encodedMessage, err = p.generateProtobufMessage()
if err != nil {
return fmt.Errorf("failed to encode as Protobuf for topic %s: %w", topic, err)
}
default:
// Unknown format - fallback to JSON
encodedMessage, err = p.generateJSONMessage()
if err != nil {
return fmt.Errorf("failed to encode as JSON (unknown format fallback) for topic %s: %w", topic, err)
}
}
// Wrap in Confluent wire format (magic byte + schema ID + payload)
messageValue = p.createConfluentWireFormat(schemaID, encodedMessage)
} else {
// No schemas - generate message based on config value_type
var err error
messageValue, err = p.generateMessage()
if err != nil {
return fmt.Errorf("failed to generate message: %w", err)
}
}
msg := &sarama.ProducerMessage{
Topic: topic,
Key: sarama.StringEncoder(key),
Value: sarama.ByteEncoder(messageValue),
}
// Add headers if configured
if p.config.Producers.IncludeHeaders {
msg.Headers = []sarama.RecordHeader{
{Key: []byte("producer_id"), Value: []byte(fmt.Sprintf("%d", p.id))},
{Key: []byte("timestamp"), Value: []byte(fmt.Sprintf("%d", startTime.UnixNano()))},
}
}
// Produce message
partition, offset, err := p.saramaProducer.SendMessage(msg)
if err != nil {
return err
}
// Track produced message
if p.tracker != nil {
p.tracker.TrackProduced(tracker.Record{
Key: key,
Topic: topic,
Partition: partition,
Offset: offset,
Timestamp: startTime.UnixNano(),
ProducerID: p.id,
})
}
// Record metrics
latency := time.Since(startTime)
p.metricsCollector.RecordProducedMessage(len(messageValue), latency)
return nil
}
// generateMessage generates a test message
func (p *Producer) generateMessage() ([]byte, error) {
p.messageCounter++
switch p.config.Producers.ValueType {
case "avro":
return p.generateAvroMessage()
case "json":
return p.generateJSONMessage()
case "binary":
return p.generateBinaryMessage()
default:
return p.generateJSONMessage()
}
}
// generateJSONMessage generates a JSON test message
func (p *Producer) generateJSONMessage() ([]byte, error) {
msg := Message{
ID: fmt.Sprintf("msg-%d-%d", p.id, p.messageCounter),
Timestamp: time.Now().UnixNano(),
ProducerID: p.id,
Counter: p.messageCounter,
UserID: fmt.Sprintf("user-%d", p.random.Intn(10000)),
EventType: p.randomEventType(),
Properties: map[string]interface{}{
"session_id": fmt.Sprintf("sess-%d-%d", p.id, p.random.Intn(1000)),
"page_views": fmt.Sprintf("%d", p.random.Intn(100)), // String for Avro map<string,string>
"duration_ms": fmt.Sprintf("%d", p.random.Intn(300000)), // String for Avro map<string,string>
"country": p.randomCountry(),
"device_type": p.randomDeviceType(),
"app_version": fmt.Sprintf("v%d.%d.%d", p.random.Intn(10), p.random.Intn(10), p.random.Intn(100)),
},
}
// Marshal to JSON (no padding - let natural message size be used)
messageBytes, err := json.Marshal(msg)
if err != nil {
return nil, err
}
return messageBytes, nil
}
// generateProtobufMessage generates a Protobuf-encoded message
func (p *Producer) generateProtobufMessage() ([]byte, error) {
// Create protobuf message
protoMsg := &pb.LoadTestMessage{
Id: fmt.Sprintf("msg-%d-%d", p.id, p.messageCounter),
Timestamp: time.Now().UnixNano(),
ProducerId: int32(p.id),
Counter: p.messageCounter,
UserId: fmt.Sprintf("user-%d", p.random.Intn(10000)),
EventType: p.randomEventType(),
Properties: map[string]string{
"session_id": fmt.Sprintf("sess-%d-%d", p.id, p.random.Intn(1000)),
"page_views": fmt.Sprintf("%d", p.random.Intn(100)),
"duration_ms": fmt.Sprintf("%d", p.random.Intn(300000)),
"country": p.randomCountry(),
"device_type": p.randomDeviceType(),
"app_version": fmt.Sprintf("v%d.%d.%d", p.random.Intn(10), p.random.Intn(10), p.random.Intn(100)),
},
}
// Marshal to protobuf binary
messageBytes, err := proto.Marshal(protoMsg)
if err != nil {
return nil, err
}
return messageBytes, nil
}
// generateAvroMessage generates an Avro-encoded message with Confluent Wire Format
// NOTE: Avro messages are NOT padded - they have their own binary format
func (p *Producer) generateAvroMessage() ([]byte, error) {
if p.avroCodec == nil {
return nil, fmt.Errorf("Avro codec not initialized")
}
// Create Avro-compatible record matching the LoadTestMessage schema
record := map[string]interface{}{
"id": fmt.Sprintf("msg-%d-%d", p.id, p.messageCounter),
"timestamp": time.Now().UnixNano(),
"producer_id": p.id,
"counter": p.messageCounter,
"user_id": fmt.Sprintf("user-%d", p.random.Intn(10000)),
"event_type": p.randomEventType(),
"properties": map[string]interface{}{
"session_id": fmt.Sprintf("sess-%d-%d", p.id, p.random.Intn(1000)),
"page_views": fmt.Sprintf("%d", p.random.Intn(100)),
"duration_ms": fmt.Sprintf("%d", p.random.Intn(300000)),
"country": p.randomCountry(),
"device_type": p.randomDeviceType(),
"app_version": fmt.Sprintf("v%d.%d.%d", p.random.Intn(10), p.random.Intn(10), p.random.Intn(100)),
},
}
// Encode to Avro binary
avroBytes, err := p.avroCodec.BinaryFromNative(nil, record)
if err != nil {
return nil, err
}
return avroBytes, nil
}
// generateBinaryMessage generates a binary test message (no padding)
func (p *Producer) generateBinaryMessage() ([]byte, error) {
// Create a simple binary message format:
// [producer_id:4][counter:8][timestamp:8]
message := make([]byte, 20)
// Producer ID (4 bytes)
message[0] = byte(p.id >> 24)
message[1] = byte(p.id >> 16)
message[2] = byte(p.id >> 8)
message[3] = byte(p.id)
// Counter (8 bytes)
for i := 0; i < 8; i++ {
message[4+i] = byte(p.messageCounter >> (56 - i*8))
}
// Timestamp (8 bytes)
timestamp := time.Now().UnixNano()
for i := 0; i < 8; i++ {
message[12+i] = byte(timestamp >> (56 - i*8))
}
return message, nil
}
// generateMessageKey generates a message key based on the configured distribution
// Keys are prefixed with a test run ID to track messages across test runs
func (p *Producer) generateMessageKey() string {
// Use test start time as run ID (format: YYYYMMDD-HHMMSS)
runID := p.startTime.Format("20060102-150405")
switch p.config.Producers.KeyDistribution {
case "sequential":
return fmt.Sprintf("run-%s-key-%d", runID, p.messageCounter)
case "uuid":
return fmt.Sprintf("run-%s-uuid-%d-%d-%d", runID, p.id, time.Now().UnixNano(), p.random.Intn(1000000))
default: // random
return fmt.Sprintf("run-%s-key-%d", runID, p.random.Intn(10000))
}
}
// createTopics creates the test topics if they don't exist
func (p *Producer) createTopics() error {
// Use Sarama admin client to create topics
config := sarama.NewConfig()
config.Version = sarama.V2_8_0_0
admin, err := sarama.NewClusterAdmin(p.config.Kafka.BootstrapServers, config)
if err != nil {
return fmt.Errorf("failed to create admin client: %w", err)
}
defer admin.Close()
// Create topic specifications
topicSpecs := make(map[string]*sarama.TopicDetail)
for _, topic := range p.topics {
topicSpecs[topic] = &sarama.TopicDetail{
NumPartitions: int32(p.config.Topics.Partitions),
ReplicationFactor: int16(p.config.Topics.ReplicationFactor),
ConfigEntries: map[string]*string{
"cleanup.policy": &p.config.Topics.CleanupPolicy,
"retention.ms": stringPtr(fmt.Sprintf("%d", p.config.Topics.RetentionMs)),
"segment.ms": stringPtr(fmt.Sprintf("%d", p.config.Topics.SegmentMs)),
},
}
}
// Create topics
for _, topic := range p.topics {
err = admin.CreateTopic(topic, topicSpecs[topic], false)
if err != nil && err != sarama.ErrTopicAlreadyExists {
log.Printf("Producer %d: Warning - failed to create topic %s: %v", p.id, topic, err)
} else {
log.Printf("Producer %d: Successfully created topic %s", p.id, topic)
}
}
return nil
}
// Close closes the producer and cleans up resources
func (p *Producer) Close() error {
log.Printf("Producer %d: Closing", p.id)
if p.rateLimiter != nil {
p.rateLimiter.Stop()
}
if p.saramaProducer != nil {
return p.saramaProducer.Close()
}
return nil
}
// Helper functions
func stringPtr(s string) *string {
return &s
}
func joinStrings(strs []string, sep string) string {
if len(strs) == 0 {
return ""
}
result := strs[0]
for i := 1; i < len(strs); i++ {
result += sep + strs[i]
}
return result
}
func (p *Producer) randomEventType() string {
events := []string{"login", "logout", "view", "click", "purchase", "signup", "search", "download"}
return events[p.random.Intn(len(events))]
}
func (p *Producer) randomCountry() string {
countries := []string{"US", "CA", "UK", "DE", "FR", "JP", "AU", "BR", "IN", "CN"}
return countries[p.random.Intn(len(countries))]
}
func (p *Producer) randomDeviceType() string {
devices := []string{"desktop", "mobile", "tablet", "tv", "watch"}
return devices[p.random.Intn(len(devices))]
}
// fetchSchemaIDs fetches schema IDs from Schema Registry for all topics
func (p *Producer) fetchSchemaIDs() error {
for _, topic := range p.topics {
subject := topic + "-value"
schemaID, err := p.getSchemaID(subject)
if err != nil {
return fmt.Errorf("failed to get schema ID for subject %s: %w", subject, err)
}
p.schemaIDs[topic] = schemaID
log.Printf("Producer %d: Fetched schema ID %d for topic %s", p.id, schemaID, topic)
}
return nil
}
// getSchemaID fetches the latest schema ID for a subject from Schema Registry
func (p *Producer) getSchemaID(subject string) (int, error) {
url := fmt.Sprintf("%s/subjects/%s/versions/latest", p.config.SchemaRegistry.URL, subject)
resp, err := http.Get(url)
if err != nil {
return 0, err
}
defer resp.Body.Close()
if resp.StatusCode != 200 {
body, _ := io.ReadAll(resp.Body)
return 0, fmt.Errorf("failed to get schema: status=%d, body=%s", resp.StatusCode, string(body))
}
var schemaResp struct {
ID int `json:"id"`
}
if err := json.NewDecoder(resp.Body).Decode(&schemaResp); err != nil {
return 0, err
}
return schemaResp.ID, nil
}
// ensureSchemasRegistered ensures that schemas are registered for all topics
// It registers schemas if they don't exist, but doesn't fail if they already do
func (p *Producer) ensureSchemasRegistered() error {
for _, topic := range p.topics {
subject := topic + "-value"
// First check if schema already exists
schemaID, err := p.getSchemaID(subject)
if err == nil {
log.Printf("Producer %d: Schema already exists for topic %s (ID: %d), skipping registration", p.id, topic, schemaID)
continue
}
// Schema doesn't exist, register it
log.Printf("Producer %d: Registering schema for topic %s", p.id, topic)
if err := p.registerTopicSchema(subject); err != nil {
return fmt.Errorf("failed to register schema for topic %s: %w", topic, err)
}
log.Printf("Producer %d: Schema registered successfully for topic %s", p.id, topic)
}
return nil
}
// registerTopicSchema registers the schema for a specific topic based on configured format
func (p *Producer) registerTopicSchema(subject string) error {
// Extract topic name from subject (remove -value or -key suffix)
topicName := strings.TrimSuffix(strings.TrimSuffix(subject, "-value"), "-key")
// Get schema format for this topic
schemaFormat, ok := p.schemaFormats[topicName]
if !ok {
// Fallback to config or default
schemaFormat = p.config.Producers.SchemaFormat
if schemaFormat == "" {
schemaFormat = "AVRO"
}
}
var schemaStr string
var schemaType string
switch strings.ToUpper(schemaFormat) {
case "AVRO":
schemaStr = schema.GetAvroSchema()
schemaType = "AVRO"
case "JSON", "JSON_SCHEMA":
schemaStr = schema.GetJSONSchema()
schemaType = "JSON"
case "PROTOBUF":
schemaStr = schema.GetProtobufSchema()
schemaType = "PROTOBUF"
default:
return fmt.Errorf("unsupported schema format: %s", schemaFormat)
}
url := fmt.Sprintf("%s/subjects/%s/versions", p.config.SchemaRegistry.URL, subject)
payload := map[string]interface{}{
"schema": schemaStr,
"schemaType": schemaType,
}
jsonPayload, err := json.Marshal(payload)
if err != nil {
return fmt.Errorf("failed to marshal schema payload: %w", err)
}
resp, err := http.Post(url, "application/vnd.schemaregistry.v1+json", strings.NewReader(string(jsonPayload)))
if err != nil {
return fmt.Errorf("failed to register schema: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode != 200 {
body, _ := io.ReadAll(resp.Body)
return fmt.Errorf("schema registration failed: status=%d, body=%s", resp.StatusCode, string(body))
}
var registerResp struct {
ID int `json:"id"`
}
if err := json.NewDecoder(resp.Body).Decode(&registerResp); err != nil {
return fmt.Errorf("failed to decode registration response: %w", err)
}
log.Printf("Schema registered with ID: %d (format: %s)", registerResp.ID, schemaType)
return nil
}
// createConfluentWireFormat creates a message in Confluent Wire Format
// This matches the implementation in weed/mq/kafka/schema/envelope.go CreateConfluentEnvelope
func (p *Producer) createConfluentWireFormat(schemaID int, avroData []byte) []byte {
// Confluent Wire Format: [magic_byte(1)][schema_id(4)][payload(n)]
// magic_byte = 0x00
// schema_id = 4 bytes big-endian
wireFormat := make([]byte, 5+len(avroData))
wireFormat[0] = 0x00 // Magic byte
binary.BigEndian.PutUint32(wireFormat[1:5], uint32(schemaID))
copy(wireFormat[5:], avroData)
return wireFormat
}
// isCircuitBreakerError checks if an error indicates that the circuit breaker is open
func (p *Producer) isCircuitBreakerError(err error) bool {
return errors.Is(err, ErrCircuitBreakerOpen)
}

View File

@@ -0,0 +1,16 @@
syntax = "proto3";
package com.seaweedfs.loadtest;
option go_package = "github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema/pb";
message LoadTestMessage {
string id = 1;
int64 timestamp = 2;
int32 producer_id = 3;
int64 counter = 4;
string user_id = 5;
string event_type = 6;
map<string, string> properties = 7;
}

View File

@@ -0,0 +1,186 @@
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.36.6
// protoc v5.29.3
// source: loadtest.proto
package pb
import (
reflect "reflect"
sync "sync"
unsafe "unsafe"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
)
const (
// Verify that this generated code is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
// Verify that runtime/protoimpl is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
type LoadTestMessage struct {
state protoimpl.MessageState `protogen:"open.v1"`
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
Timestamp int64 `protobuf:"varint,2,opt,name=timestamp,proto3" json:"timestamp,omitempty"`
ProducerId int32 `protobuf:"varint,3,opt,name=producer_id,json=producerId,proto3" json:"producer_id,omitempty"`
Counter int64 `protobuf:"varint,4,opt,name=counter,proto3" json:"counter,omitempty"`
UserId string `protobuf:"bytes,5,opt,name=user_id,json=userId,proto3" json:"user_id,omitempty"`
EventType string `protobuf:"bytes,6,opt,name=event_type,json=eventType,proto3" json:"event_type,omitempty"`
Properties map[string]string `protobuf:"bytes,7,rep,name=properties,proto3" json:"properties,omitempty" protobuf_key:"bytes,1,opt,name=key" protobuf_val:"bytes,2,opt,name=value"`
unknownFields protoimpl.UnknownFields
sizeCache protoimpl.SizeCache
}
func (x *LoadTestMessage) Reset() {
*x = LoadTestMessage{}
mi := &file_loadtest_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
func (x *LoadTestMessage) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*LoadTestMessage) ProtoMessage() {}
func (x *LoadTestMessage) ProtoReflect() protoreflect.Message {
mi := &file_loadtest_proto_msgTypes[0]
if x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use LoadTestMessage.ProtoReflect.Descriptor instead.
func (*LoadTestMessage) Descriptor() ([]byte, []int) {
return file_loadtest_proto_rawDescGZIP(), []int{0}
}
func (x *LoadTestMessage) GetId() string {
if x != nil {
return x.Id
}
return ""
}
func (x *LoadTestMessage) GetTimestamp() int64 {
if x != nil {
return x.Timestamp
}
return 0
}
func (x *LoadTestMessage) GetProducerId() int32 {
if x != nil {
return x.ProducerId
}
return 0
}
func (x *LoadTestMessage) GetCounter() int64 {
if x != nil {
return x.Counter
}
return 0
}
func (x *LoadTestMessage) GetUserId() string {
if x != nil {
return x.UserId
}
return ""
}
func (x *LoadTestMessage) GetEventType() string {
if x != nil {
return x.EventType
}
return ""
}
func (x *LoadTestMessage) GetProperties() map[string]string {
if x != nil {
return x.Properties
}
return nil
}
var File_loadtest_proto protoreflect.FileDescriptor
const file_loadtest_proto_rawDesc = "" +
"\n" +
"\x0eloadtest.proto\x12\x16com.seaweedfs.loadtest\"\xca\x02\n" +
"\x0fLoadTestMessage\x12\x0e\n" +
"\x02id\x18\x01 \x01(\tR\x02id\x12\x1c\n" +
"\ttimestamp\x18\x02 \x01(\x03R\ttimestamp\x12\x1f\n" +
"\vproducer_id\x18\x03 \x01(\x05R\n" +
"producerId\x12\x18\n" +
"\acounter\x18\x04 \x01(\x03R\acounter\x12\x17\n" +
"\auser_id\x18\x05 \x01(\tR\x06userId\x12\x1d\n" +
"\n" +
"event_type\x18\x06 \x01(\tR\teventType\x12W\n" +
"\n" +
"properties\x18\a \x03(\v27.com.seaweedfs.loadtest.LoadTestMessage.PropertiesEntryR\n" +
"properties\x1a=\n" +
"\x0fPropertiesEntry\x12\x10\n" +
"\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n" +
"\x05value\x18\x02 \x01(\tR\x05value:\x028\x01BTZRgithub.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema/pbb\x06proto3"
var (
file_loadtest_proto_rawDescOnce sync.Once
file_loadtest_proto_rawDescData []byte
)
func file_loadtest_proto_rawDescGZIP() []byte {
file_loadtest_proto_rawDescOnce.Do(func() {
file_loadtest_proto_rawDescData = protoimpl.X.CompressGZIP(unsafe.Slice(unsafe.StringData(file_loadtest_proto_rawDesc), len(file_loadtest_proto_rawDesc)))
})
return file_loadtest_proto_rawDescData
}
var file_loadtest_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_loadtest_proto_goTypes = []any{
(*LoadTestMessage)(nil), // 0: com.seaweedfs.loadtest.LoadTestMessage
nil, // 1: com.seaweedfs.loadtest.LoadTestMessage.PropertiesEntry
}
var file_loadtest_proto_depIdxs = []int32{
1, // 0: com.seaweedfs.loadtest.LoadTestMessage.properties:type_name -> com.seaweedfs.loadtest.LoadTestMessage.PropertiesEntry
1, // [1:1] is the sub-list for method output_type
1, // [1:1] is the sub-list for method input_type
1, // [1:1] is the sub-list for extension type_name
1, // [1:1] is the sub-list for extension extendee
0, // [0:1] is the sub-list for field type_name
}
func init() { file_loadtest_proto_init() }
func file_loadtest_proto_init() {
if File_loadtest_proto != nil {
return
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: unsafe.Slice(unsafe.StringData(file_loadtest_proto_rawDesc), len(file_loadtest_proto_rawDesc)),
NumEnums: 0,
NumMessages: 2,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_loadtest_proto_goTypes,
DependencyIndexes: file_loadtest_proto_depIdxs,
MessageInfos: file_loadtest_proto_msgTypes,
}.Build()
File_loadtest_proto = out.File
file_loadtest_proto_goTypes = nil
file_loadtest_proto_depIdxs = nil
}

View File

@@ -0,0 +1,58 @@
package schema
// GetAvroSchema returns the Avro schema for load test messages
func GetAvroSchema() string {
return `{
"type": "record",
"name": "LoadTestMessage",
"namespace": "com.seaweedfs.loadtest",
"fields": [
{"name": "id", "type": "string"},
{"name": "timestamp", "type": "long"},
{"name": "producer_id", "type": "int"},
{"name": "counter", "type": "long"},
{"name": "user_id", "type": "string"},
{"name": "event_type", "type": "string"},
{"name": "properties", "type": {"type": "map", "values": "string"}}
]
}`
}
// GetJSONSchema returns the JSON Schema for load test messages
func GetJSONSchema() string {
return `{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "LoadTestMessage",
"type": "object",
"properties": {
"id": {"type": "string"},
"timestamp": {"type": "integer"},
"producer_id": {"type": "integer"},
"counter": {"type": "integer"},
"user_id": {"type": "string"},
"event_type": {"type": "string"},
"properties": {
"type": "object",
"additionalProperties": {"type": "string"}
}
},
"required": ["id", "timestamp", "producer_id", "counter", "user_id", "event_type"]
}`
}
// GetProtobufSchema returns the Protobuf schema for load test messages
func GetProtobufSchema() string {
return `syntax = "proto3";
package com.seaweedfs.loadtest;
message LoadTestMessage {
string id = 1;
int64 timestamp = 2;
int32 producer_id = 3;
int64 counter = 4;
string user_id = 5;
string event_type = 6;
map<string, string> properties = 7;
}`
}

View File

@@ -0,0 +1,281 @@
package tracker
import (
"encoding/json"
"fmt"
"os"
"sort"
"strings"
"sync"
"time"
)
// Record represents a tracked message
type Record struct {
Key string `json:"key"`
Topic string `json:"topic"`
Partition int32 `json:"partition"`
Offset int64 `json:"offset"`
Timestamp int64 `json:"timestamp"`
ProducerID int `json:"producer_id,omitempty"`
ConsumerID int `json:"consumer_id,omitempty"`
}
// Tracker tracks produced and consumed records
type Tracker struct {
mu sync.Mutex
producedRecords []Record
consumedRecords []Record
producedFile string
consumedFile string
testStartTime int64 // Unix timestamp in nanoseconds - used to filter old messages
testRunPrefix string // Key prefix for this test run (e.g., "run-20251015-170150")
filteredOldCount int // Count of old messages consumed but not tracked
}
// NewTracker creates a new record tracker
func NewTracker(producedFile, consumedFile string, testStartTime int64) *Tracker {
// Generate test run prefix from start time using same format as producer
// Producer format: p.startTime.Format("20060102-150405") -> "20251015-170859"
startTime := time.Unix(0, testStartTime)
runID := startTime.Format("20060102-150405")
testRunPrefix := fmt.Sprintf("run-%s", runID)
fmt.Printf("Tracker initialized with prefix: %s (filtering messages not matching this prefix)\n", testRunPrefix)
return &Tracker{
producedRecords: make([]Record, 0, 100000),
consumedRecords: make([]Record, 0, 100000),
producedFile: producedFile,
consumedFile: consumedFile,
testStartTime: testStartTime,
testRunPrefix: testRunPrefix,
filteredOldCount: 0,
}
}
// TrackProduced records a produced message
func (t *Tracker) TrackProduced(record Record) {
t.mu.Lock()
defer t.mu.Unlock()
t.producedRecords = append(t.producedRecords, record)
}
// TrackConsumed records a consumed message
// Only tracks messages from the current test run (filters out old messages from previous tests)
func (t *Tracker) TrackConsumed(record Record) {
t.mu.Lock()
defer t.mu.Unlock()
// Filter: Only track messages from current test run based on key prefix
// Producer keys look like: "run-20251015-170150-key-123"
// We only want messages that match our test run prefix
if !strings.HasPrefix(record.Key, t.testRunPrefix) {
// Count old messages consumed but not tracked
t.filteredOldCount++
return
}
t.consumedRecords = append(t.consumedRecords, record)
}
// SaveProduced writes produced records to file
func (t *Tracker) SaveProduced() error {
t.mu.Lock()
defer t.mu.Unlock()
f, err := os.Create(t.producedFile)
if err != nil {
return fmt.Errorf("failed to create produced file: %v", err)
}
defer f.Close()
encoder := json.NewEncoder(f)
for _, record := range t.producedRecords {
if err := encoder.Encode(record); err != nil {
return fmt.Errorf("failed to encode produced record: %v", err)
}
}
fmt.Printf("Saved %d produced records to %s\n", len(t.producedRecords), t.producedFile)
return nil
}
// SaveConsumed writes consumed records to file
func (t *Tracker) SaveConsumed() error {
t.mu.Lock()
defer t.mu.Unlock()
f, err := os.Create(t.consumedFile)
if err != nil {
return fmt.Errorf("failed to create consumed file: %v", err)
}
defer f.Close()
encoder := json.NewEncoder(f)
for _, record := range t.consumedRecords {
if err := encoder.Encode(record); err != nil {
return fmt.Errorf("failed to encode consumed record: %v", err)
}
}
fmt.Printf("Saved %d consumed records to %s\n", len(t.consumedRecords), t.consumedFile)
return nil
}
// Compare compares produced and consumed records
func (t *Tracker) Compare() ComparisonResult {
t.mu.Lock()
defer t.mu.Unlock()
result := ComparisonResult{
TotalProduced: len(t.producedRecords),
TotalConsumed: len(t.consumedRecords),
FilteredOldCount: t.filteredOldCount,
}
// Build maps for efficient lookup
producedMap := make(map[string]Record)
for _, record := range t.producedRecords {
key := fmt.Sprintf("%s-%d-%d", record.Topic, record.Partition, record.Offset)
producedMap[key] = record
}
consumedMap := make(map[string]int)
duplicateKeys := make(map[string][]Record)
for _, record := range t.consumedRecords {
key := fmt.Sprintf("%s-%d-%d", record.Topic, record.Partition, record.Offset)
consumedMap[key]++
if consumedMap[key] > 1 {
duplicateKeys[key] = append(duplicateKeys[key], record)
}
}
// Find missing records (produced but not consumed)
for key, record := range producedMap {
if _, found := consumedMap[key]; !found {
result.Missing = append(result.Missing, record)
}
}
// Find duplicate records (consumed multiple times)
for key, records := range duplicateKeys {
if len(records) > 0 {
// Add first occurrence for context
result.Duplicates = append(result.Duplicates, DuplicateRecord{
Record: records[0],
Count: consumedMap[key],
})
}
}
result.MissingCount = len(result.Missing)
result.DuplicateCount = len(result.Duplicates)
result.UniqueConsumed = result.TotalConsumed - sumDuplicates(result.Duplicates)
return result
}
// ComparisonResult holds the comparison results
type ComparisonResult struct {
TotalProduced int
TotalConsumed int
UniqueConsumed int
MissingCount int
DuplicateCount int
FilteredOldCount int // Old messages consumed but filtered out
Missing []Record
Duplicates []DuplicateRecord
}
// DuplicateRecord represents a record consumed multiple times
type DuplicateRecord struct {
Record Record
Count int
}
// PrintSummary prints a summary of the comparison
func (r *ComparisonResult) PrintSummary() {
fmt.Println("\n" + strings.Repeat("=", 70))
fmt.Println(" MESSAGE VERIFICATION RESULTS")
fmt.Println(strings.Repeat("=", 70))
fmt.Printf("\nProduction Summary:\n")
fmt.Printf(" Total Produced: %d messages\n", r.TotalProduced)
fmt.Printf("\nConsumption Summary:\n")
fmt.Printf(" Total Consumed: %d messages (from current test)\n", r.TotalConsumed)
fmt.Printf(" Unique Consumed: %d messages\n", r.UniqueConsumed)
fmt.Printf(" Duplicate Reads: %d messages\n", r.TotalConsumed-r.UniqueConsumed)
if r.FilteredOldCount > 0 {
fmt.Printf(" Filtered Old: %d messages (from previous tests, not tracked)\n", r.FilteredOldCount)
}
fmt.Printf("\nVerification Results:\n")
if r.MissingCount == 0 {
fmt.Printf(" ✅ Missing Records: 0 (all messages delivered)\n")
} else {
fmt.Printf(" ❌ Missing Records: %d (data loss detected!)\n", r.MissingCount)
}
if r.DuplicateCount == 0 {
fmt.Printf(" ✅ Duplicate Records: 0 (no duplicates)\n")
} else {
duplicatePercent := float64(r.TotalConsumed-r.UniqueConsumed) * 100.0 / float64(r.TotalProduced)
fmt.Printf(" ⚠️ Duplicate Records: %d unique messages read multiple times (%.1f%%)\n",
r.DuplicateCount, duplicatePercent)
}
fmt.Printf("\nDelivery Guarantee:\n")
if r.MissingCount == 0 && r.DuplicateCount == 0 {
fmt.Printf(" ✅ EXACTLY-ONCE: All messages delivered exactly once\n")
} else if r.MissingCount == 0 {
fmt.Printf(" ✅ AT-LEAST-ONCE: All messages delivered (some duplicates)\n")
} else {
fmt.Printf(" ❌ AT-MOST-ONCE: Some messages lost\n")
}
// Print sample of missing records (up to 10)
if len(r.Missing) > 0 {
fmt.Printf("\nSample Missing Records (first 10 of %d):\n", len(r.Missing))
for i, record := range r.Missing {
if i >= 10 {
break
}
fmt.Printf(" - %s[%d]@%d (key=%s)\n",
record.Topic, record.Partition, record.Offset, record.Key)
}
}
// Print sample of duplicate records (up to 10)
if len(r.Duplicates) > 0 {
fmt.Printf("\nSample Duplicate Records (first 10 of %d):\n", len(r.Duplicates))
// Sort by count descending
sorted := make([]DuplicateRecord, len(r.Duplicates))
copy(sorted, r.Duplicates)
sort.Slice(sorted, func(i, j int) bool {
return sorted[i].Count > sorted[j].Count
})
for i, dup := range sorted {
if i >= 10 {
break
}
fmt.Printf(" - %s[%d]@%d (key=%s, read %d times)\n",
dup.Record.Topic, dup.Record.Partition, dup.Record.Offset,
dup.Record.Key, dup.Count)
}
}
fmt.Println(strings.Repeat("=", 70))
}
func sumDuplicates(duplicates []DuplicateRecord) int {
sum := 0
for _, dup := range duplicates {
sum += dup.Count - 1 // Don't count the first occurrence
}
return sum
}

View File

@@ -0,0 +1,13 @@
# Set everything to debug
log4j.rootLogger=INFO, CONSOLE
# Enable DEBUG for Kafka client internals
log4j.logger.org.apache.kafka.clients.consumer=DEBUG
log4j.logger.org.apache.kafka.clients.producer=DEBUG
log4j.logger.org.apache.kafka.clients.Metadata=DEBUG
log4j.logger.org.apache.kafka.common.network=WARN
log4j.logger.org.apache.kafka.common.utils=WARN
log4j.appender.CONSOLE=org.apache.log4j.ConsoleAppender
log4j.appender.CONSOLE.layout=org.apache.log4j.PatternLayout
log4j.appender.CONSOLE.layout.ConversionPattern=[%d{HH:mm:ss}] [%-5p] [%c] %m%n

View File

@@ -0,0 +1,106 @@
{
"dashboard": {
"id": null,
"title": "Kafka Client Load Test Dashboard",
"tags": ["kafka", "loadtest", "seaweedfs"],
"timezone": "browser",
"panels": [
{
"id": 1,
"title": "Messages Produced/Consumed",
"type": "stat",
"targets": [
{
"expr": "rate(kafka_loadtest_messages_produced_total[5m])",
"legendFormat": "Produced/sec"
},
{
"expr": "rate(kafka_loadtest_messages_consumed_total[5m])",
"legendFormat": "Consumed/sec"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 0}
},
{
"id": 2,
"title": "Message Latency",
"type": "graph",
"targets": [
{
"expr": "histogram_quantile(0.95, kafka_loadtest_message_latency_seconds)",
"legendFormat": "95th percentile"
},
{
"expr": "histogram_quantile(0.99, kafka_loadtest_message_latency_seconds)",
"legendFormat": "99th percentile"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 0}
},
{
"id": 3,
"title": "Error Rates",
"type": "graph",
"targets": [
{
"expr": "rate(kafka_loadtest_producer_errors_total[5m])",
"legendFormat": "Producer Errors/sec"
},
{
"expr": "rate(kafka_loadtest_consumer_errors_total[5m])",
"legendFormat": "Consumer Errors/sec"
}
],
"gridPos": {"h": 8, "w": 24, "x": 0, "y": 8}
},
{
"id": 4,
"title": "Throughput (MB/s)",
"type": "graph",
"targets": [
{
"expr": "rate(kafka_loadtest_bytes_produced_total[5m]) / 1024 / 1024",
"legendFormat": "Produced MB/s"
},
{
"expr": "rate(kafka_loadtest_bytes_consumed_total[5m]) / 1024 / 1024",
"legendFormat": "Consumed MB/s"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 16}
},
{
"id": 5,
"title": "Active Clients",
"type": "stat",
"targets": [
{
"expr": "kafka_loadtest_active_producers",
"legendFormat": "Producers"
},
{
"expr": "kafka_loadtest_active_consumers",
"legendFormat": "Consumers"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 16}
},
{
"id": 6,
"title": "Consumer Lag",
"type": "graph",
"targets": [
{
"expr": "kafka_loadtest_consumer_lag_messages",
"legendFormat": "{{consumer_group}}-{{topic}}-{{partition}}"
}
],
"gridPos": {"h": 8, "w": 24, "x": 0, "y": 24}
}
],
"time": {"from": "now-30m", "to": "now"},
"refresh": "5s",
"schemaVersion": 16,
"version": 0
}
}

View File

@@ -0,0 +1,62 @@
{
"dashboard": {
"id": null,
"title": "SeaweedFS Cluster Dashboard",
"tags": ["seaweedfs", "storage"],
"timezone": "browser",
"panels": [
{
"id": 1,
"title": "Master Status",
"type": "stat",
"targets": [
{
"expr": "up{job=\"seaweedfs-master\"}",
"legendFormat": "Master Up"
}
],
"gridPos": {"h": 4, "w": 6, "x": 0, "y": 0}
},
{
"id": 2,
"title": "Volume Status",
"type": "stat",
"targets": [
{
"expr": "up{job=\"seaweedfs-volume\"}",
"legendFormat": "Volume Up"
}
],
"gridPos": {"h": 4, "w": 6, "x": 6, "y": 0}
},
{
"id": 3,
"title": "Filer Status",
"type": "stat",
"targets": [
{
"expr": "up{job=\"seaweedfs-filer\"}",
"legendFormat": "Filer Up"
}
],
"gridPos": {"h": 4, "w": 6, "x": 12, "y": 0}
},
{
"id": 4,
"title": "MQ Broker Status",
"type": "stat",
"targets": [
{
"expr": "up{job=\"seaweedfs-mq-broker\"}",
"legendFormat": "MQ Broker Up"
}
],
"gridPos": {"h": 4, "w": 6, "x": 18, "y": 0}
}
],
"time": {"from": "now-30m", "to": "now"},
"refresh": "10s",
"schemaVersion": 16,
"version": 0
}
}

View File

@@ -0,0 +1,11 @@
apiVersion: 1
providers:
- name: 'default'
orgId: 1
folder: ''
type: file
disableDeletion: false
editable: true
options:
path: /var/lib/grafana/dashboards

View File

@@ -0,0 +1,12 @@
apiVersion: 1
datasources:
- name: Prometheus
type: prometheus
access: proxy
orgId: 1
url: http://prometheus:9090
basicAuth: false
isDefault: true
editable: true
version: 1

View File

@@ -0,0 +1,54 @@
# Prometheus configuration for Kafka Load Test monitoring
global:
scrape_interval: 15s
evaluation_interval: 15s
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
scrape_configs:
# Scrape Prometheus itself
- job_name: 'prometheus'
static_configs:
- targets: ['localhost:9090']
# Scrape load test metrics
- job_name: 'kafka-loadtest'
static_configs:
- targets: ['kafka-client-loadtest-runner:8080']
scrape_interval: 5s
metrics_path: '/metrics'
# Scrape SeaweedFS Master metrics
- job_name: 'seaweedfs-master'
static_configs:
- targets: ['seaweedfs-master:9333']
metrics_path: '/metrics'
# Scrape SeaweedFS Volume metrics
- job_name: 'seaweedfs-volume'
static_configs:
- targets: ['seaweedfs-volume:8080']
metrics_path: '/metrics'
# Scrape SeaweedFS Filer metrics
- job_name: 'seaweedfs-filer'
static_configs:
- targets: ['seaweedfs-filer:8888']
metrics_path: '/metrics'
# Scrape SeaweedFS MQ Broker metrics (if available)
- job_name: 'seaweedfs-mq-broker'
static_configs:
- targets: ['seaweedfs-mq-broker:17777']
metrics_path: '/metrics'
scrape_interval: 10s
# Scrape Kafka Gateway metrics (if available)
- job_name: 'kafka-gateway'
static_configs:
- targets: ['kafka-gateway:9093']
metrics_path: '/metrics'
scrape_interval: 10s

View File

@@ -0,0 +1,61 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>io.confluent.test</groupId>
<artifactId>seek-test</artifactId>
<version>1.0</version>
<properties>
<maven.compiler.source>11</maven.compiler.source>
<maven.compiler.target>11</maven.compiler.target>
<kafka.version>3.9.2</kafka.version>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>${kafka.version}</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-simple</artifactId>
<version>2.0.0</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.8.1</version>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>3.2.4</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>SeekToBeginningTest</mainClass>
</transformer>
</transformers>
<finalName>seek-test</finalName>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
<sourceDirectory>.</sourceDirectory>
</build>
</project>

View File

@@ -0,0 +1,423 @@
#!/bin/bash
# Register schemas with Schema Registry for load testing
# This script registers the necessary schemas before running load tests
set -euo pipefail
# Colors
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[0;33m'
BLUE='\033[0;34m'
NC='\033[0m'
log_info() {
echo -e "${BLUE}[INFO]${NC} $1"
}
log_success() {
echo -e "${GREEN}[SUCCESS]${NC} $1"
}
log_warning() {
echo -e "${YELLOW}[WARN]${NC} $1"
}
log_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
# Configuration
SCHEMA_REGISTRY_URL=${SCHEMA_REGISTRY_URL:-"http://localhost:8081"}
TIMEOUT=${TIMEOUT:-60}
CHECK_INTERVAL=${CHECK_INTERVAL:-2}
# Wait for Schema Registry to be ready
wait_for_schema_registry() {
log_info "Waiting for Schema Registry to be ready..."
local elapsed=0
while [[ $elapsed -lt $TIMEOUT ]]; do
if curl -sf --max-time 5 "$SCHEMA_REGISTRY_URL/subjects" >/dev/null 2>&1; then
log_success "Schema Registry is ready!"
return 0
fi
log_info "Schema Registry not ready yet. Waiting ${CHECK_INTERVAL}s... (${elapsed}/${TIMEOUT}s)"
sleep $CHECK_INTERVAL
elapsed=$((elapsed + CHECK_INTERVAL))
done
log_error "Schema Registry did not become ready within ${TIMEOUT} seconds"
return 1
}
# Register a schema for a subject
register_schema() {
local subject=$1
local schema=$2
local schema_type=${3:-"AVRO"}
local max_attempts=5
local attempt=1
log_info "Registering schema for subject: $subject"
# Create the schema registration payload
local escaped_schema=$(echo "$schema" | jq -Rs .)
local payload=$(cat <<EOF
{
"schema": $escaped_schema,
"schemaType": "$schema_type"
}
EOF
)
while [[ $attempt -le $max_attempts ]]; do
# Register the schema (with 30 second timeout)
local response
response=$(curl -s --max-time 30 -X POST \
-H "Content-Type: application/vnd.schemaregistry.v1+json" \
-d "$payload" \
"$SCHEMA_REGISTRY_URL/subjects/$subject/versions" 2>/dev/null)
if echo "$response" | jq -e '.id' >/dev/null 2>&1; then
local schema_id
schema_id=$(echo "$response" | jq -r '.id')
if [[ $attempt -gt 1 ]]; then
log_success "- Schema registered for $subject with ID: $schema_id [attempt $attempt]"
else
log_success "- Schema registered for $subject with ID: $schema_id"
fi
return 0
fi
# Check if it's a consumer lag timeout (error_code 50002)
local error_code
error_code=$(echo "$response" | jq -r '.error_code // empty' 2>/dev/null)
if [[ "$error_code" == "50002" && $attempt -lt $max_attempts ]]; then
# Consumer lag timeout - wait longer for consumer to catch up
# Use exponential backoff: 1s, 2s, 4s, 8s
local wait_time=$(echo "2 ^ ($attempt - 1)" | bc)
log_warning "Schema Registry consumer lag detected for $subject, waiting ${wait_time}s before retry (attempt $attempt)..."
sleep "$wait_time"
attempt=$((attempt + 1))
else
# Other error or max attempts reached
log_error "x Failed to register schema for $subject"
log_error "Response: $response"
return 1
fi
done
return 1
}
# Verify a schema exists (single attempt)
verify_schema() {
local subject=$1
local response
response=$(curl -s --max-time 10 "$SCHEMA_REGISTRY_URL/subjects/$subject/versions/latest" 2>/dev/null)
if echo "$response" | jq -e '.id' >/dev/null 2>&1; then
local schema_id
local version
schema_id=$(echo "$response" | jq -r '.id')
version=$(echo "$response" | jq -r '.version')
log_success "- Schema verified for $subject (ID: $schema_id, Version: $version)"
return 0
else
return 1
fi
}
# Verify a schema exists with retry logic (handles Schema Registry consumer lag)
verify_schema_with_retry() {
local subject=$1
local max_attempts=10
local attempt=1
log_info "Verifying schema for subject: $subject"
while [[ $attempt -le $max_attempts ]]; do
local response
response=$(curl -s --max-time 10 "$SCHEMA_REGISTRY_URL/subjects/$subject/versions/latest" 2>/dev/null)
if echo "$response" | jq -e '.id' >/dev/null 2>&1; then
local schema_id
local version
schema_id=$(echo "$response" | jq -r '.id')
version=$(echo "$response" | jq -r '.version')
if [[ $attempt -gt 1 ]]; then
log_success "- Schema verified for $subject (ID: $schema_id, Version: $version) [attempt $attempt]"
else
log_success "- Schema verified for $subject (ID: $schema_id, Version: $version)"
fi
return 0
fi
# Schema not found, wait and retry (handles Schema Registry consumer lag)
if [[ $attempt -lt $max_attempts ]]; then
# Longer exponential backoff for Schema Registry consumer lag: 0.5s, 1s, 2s, 3s, 4s...
local wait_time=$(echo "scale=1; 0.5 * $attempt" | bc)
sleep "$wait_time"
attempt=$((attempt + 1))
else
log_error "x Schema not found for $subject (tried $max_attempts times)"
return 1
fi
done
return 1
}
# Register load test schemas (optimized for batch registration)
register_loadtest_schemas() {
log_info "Registering load test schemas with multiple formats..."
# Define the Avro schema for load test messages
local avro_value_schema='{
"type": "record",
"name": "LoadTestMessage",
"namespace": "com.seaweedfs.loadtest",
"fields": [
{"name": "id", "type": "string"},
{"name": "timestamp", "type": "long"},
{"name": "producer_id", "type": "int"},
{"name": "counter", "type": "long"},
{"name": "user_id", "type": "string"},
{"name": "event_type", "type": "string"},
{"name": "properties", "type": {"type": "map", "values": "string"}}
]
}'
# Define the JSON schema for load test messages
local json_value_schema='{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "LoadTestMessage",
"type": "object",
"properties": {
"id": {"type": "string"},
"timestamp": {"type": "integer"},
"producer_id": {"type": "integer"},
"counter": {"type": "integer"},
"user_id": {"type": "string"},
"event_type": {"type": "string"},
"properties": {
"type": "object",
"additionalProperties": {"type": "string"}
}
},
"required": ["id", "timestamp", "producer_id", "counter", "user_id", "event_type"]
}'
# Define the Protobuf schema for load test messages
local protobuf_value_schema='syntax = "proto3";
package com.seaweedfs.loadtest;
message LoadTestMessage {
string id = 1;
int64 timestamp = 2;
int32 producer_id = 3;
int64 counter = 4;
string user_id = 5;
string event_type = 6;
map<string, string> properties = 7;
}'
# Define the key schema (simple string)
local avro_key_schema='{"type": "string"}'
local json_key_schema='{"type": "string"}'
local protobuf_key_schema='syntax = "proto3"; message Key { string key = 1; }'
# Register schemas for all load test topics with different formats
local topics=("loadtest-topic-0" "loadtest-topic-1" "loadtest-topic-2" "loadtest-topic-3" "loadtest-topic-4")
local success_count=0
local total_schemas=0
# Distribute formats: topic-0=AVRO, topic-1=JSON, topic-2=PROTOBUF, topic-3=AVRO, topic-4=JSON
local idx=0
for topic in "${topics[@]}"; do
local format
local value_schema
local key_schema
# Determine format based on topic index (same as producer logic)
case $((idx % 3)) in
0)
format="AVRO"
value_schema="$avro_value_schema"
key_schema="$avro_key_schema"
;;
1)
format="JSON"
value_schema="$json_value_schema"
key_schema="$json_key_schema"
;;
2)
format="PROTOBUF"
value_schema="$protobuf_value_schema"
key_schema="$protobuf_key_schema"
;;
esac
log_info "Registering $topic with $format schema..."
# Register value schema
if register_schema "${topic}-value" "$value_schema" "$format"; then
success_count=$((success_count + 1))
fi
total_schemas=$((total_schemas + 1))
# Small delay to let Schema Registry consumer process (prevents consumer lag)
sleep 0.2
# Register key schema
if register_schema "${topic}-key" "$key_schema" "$format"; then
success_count=$((success_count + 1))
fi
total_schemas=$((total_schemas + 1))
# Small delay to let Schema Registry consumer process (prevents consumer lag)
sleep 0.2
idx=$((idx + 1))
done
log_info "Schema registration summary: $success_count/$total_schemas schemas registered successfully"
log_info "Format distribution: topic-0=AVRO, topic-1=JSON, topic-2=PROTOBUF, topic-3=AVRO, topic-4=JSON"
if [[ $success_count -eq $total_schemas ]]; then
log_success "All load test schemas registered successfully with multiple formats!"
return 0
else
log_error "Some schemas failed to register"
return 1
fi
}
# Verify all schemas are registered
verify_loadtest_schemas() {
log_info "Verifying load test schemas..."
local topics=("loadtest-topic-0" "loadtest-topic-1" "loadtest-topic-2" "loadtest-topic-3" "loadtest-topic-4")
local success_count=0
local total_schemas=0
for topic in "${topics[@]}"; do
# Verify value schema with retry (handles Schema Registry consumer lag)
if verify_schema_with_retry "${topic}-value"; then
success_count=$((success_count + 1))
fi
total_schemas=$((total_schemas + 1))
# Verify key schema with retry (handles Schema Registry consumer lag)
if verify_schema_with_retry "${topic}-key"; then
success_count=$((success_count + 1))
fi
total_schemas=$((total_schemas + 1))
done
log_info "Schema verification summary: $success_count/$total_schemas schemas verified"
if [[ $success_count -eq $total_schemas ]]; then
log_success "All load test schemas verified successfully!"
return 0
else
log_error "Some schemas are missing or invalid"
return 1
fi
}
# List all registered subjects
list_subjects() {
log_info "Listing all registered subjects..."
local subjects
subjects=$(curl -s --max-time 10 "$SCHEMA_REGISTRY_URL/subjects" 2>/dev/null)
if echo "$subjects" | jq -e '.[]' >/dev/null 2>&1; then
# Use process substitution instead of pipeline to avoid subshell exit code issues
while IFS= read -r subject; do
log_info " - $subject"
done < <(echo "$subjects" | jq -r '.[]')
else
log_warning "No subjects found or Schema Registry not accessible"
fi
return 0
}
# Clean up schemas (for testing)
cleanup_schemas() {
log_warning "Cleaning up load test schemas..."
local topics=("loadtest-topic-0" "loadtest-topic-1" "loadtest-topic-2" "loadtest-topic-3" "loadtest-topic-4")
for topic in "${topics[@]}"; do
# Delete value schema (with timeout)
curl -s --max-time 10 -X DELETE "$SCHEMA_REGISTRY_URL/subjects/${topic}-value" >/dev/null 2>&1 || true
curl -s --max-time 10 -X DELETE "$SCHEMA_REGISTRY_URL/subjects/${topic}-value?permanent=true" >/dev/null 2>&1 || true
# Delete key schema (with timeout)
curl -s --max-time 10 -X DELETE "$SCHEMA_REGISTRY_URL/subjects/${topic}-key" >/dev/null 2>&1 || true
curl -s --max-time 10 -X DELETE "$SCHEMA_REGISTRY_URL/subjects/${topic}-key?permanent=true" >/dev/null 2>&1 || true
done
log_success "Schema cleanup completed"
}
# Main function
main() {
case "${1:-register}" in
"register")
wait_for_schema_registry
register_loadtest_schemas
;;
"verify")
wait_for_schema_registry
verify_loadtest_schemas
;;
"list")
wait_for_schema_registry
list_subjects
;;
"cleanup")
wait_for_schema_registry
cleanup_schemas
;;
"full")
wait_for_schema_registry
register_loadtest_schemas
# Wait for Schema Registry consumer to catch up before verification
log_info "Waiting 3 seconds for Schema Registry consumer to process all schemas..."
sleep 3
verify_loadtest_schemas
list_subjects
;;
*)
echo "Usage: $0 [register|verify|list|cleanup|full]"
echo ""
echo "Commands:"
echo " register - Register load test schemas (default)"
echo " verify - Verify schemas are registered"
echo " list - List all registered subjects"
echo " cleanup - Clean up load test schemas"
echo " full - Register, verify, and list schemas"
echo ""
echo "Environment variables:"
echo " SCHEMA_REGISTRY_URL - Schema Registry URL (default: http://localhost:8081)"
echo " TIMEOUT - Maximum time to wait for Schema Registry (default: 60)"
echo " CHECK_INTERVAL - Check interval in seconds (default: 2)"
exit 1
;;
esac
return 0
}
main "$@"

View File

@@ -0,0 +1,480 @@
#!/bin/bash
# Kafka Client Load Test Runner Script
# This script helps run various load test scenarios against SeaweedFS Kafka Gateway
set -euo pipefail
# Default configuration
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
PROJECT_DIR="$(dirname "$SCRIPT_DIR")"
DOCKER_COMPOSE_FILE="$PROJECT_DIR/docker-compose.yml"
CONFIG_FILE="$PROJECT_DIR/config/loadtest.yaml"
# Default test parameters
TEST_MODE="comprehensive"
TEST_DURATION="300s"
PRODUCER_COUNT=10
CONSUMER_COUNT=5
MESSAGE_RATE=1000
MESSAGE_SIZE=1024
TOPIC_COUNT=5
PARTITIONS_PER_TOPIC=3
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[0;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
# Function to print colored output
log_info() {
echo -e "${BLUE}[INFO]${NC} $1"
}
log_success() {
echo -e "${GREEN}[SUCCESS]${NC} $1"
}
log_warning() {
echo -e "${YELLOW}[WARNING]${NC} $1"
}
log_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
# Function to show usage
show_usage() {
cat << EOF
Kafka Client Load Test Runner
Usage: $0 [OPTIONS] [COMMAND]
Commands:
start Start the load test infrastructure and run tests
stop Stop all services
restart Restart all services
status Show service status
logs Show logs from all services
clean Clean up all resources (volumes, networks, etc.)
monitor Start monitoring stack (Prometheus + Grafana)
scenarios Run predefined test scenarios
Options:
-m, --mode MODE Test mode: producer, consumer, comprehensive (default: comprehensive)
-d, --duration DURATION Test duration (default: 300s)
-p, --producers COUNT Number of producers (default: 10)
-c, --consumers COUNT Number of consumers (default: 5)
-r, --rate RATE Messages per second per producer (default: 1000)
-s, --size SIZE Message size in bytes (default: 1024)
-t, --topics COUNT Number of topics (default: 5)
--partitions COUNT Partitions per topic (default: 3)
--config FILE Configuration file (default: config/loadtest.yaml)
--monitoring Enable monitoring stack
--wait-ready Wait for services to be ready before starting tests
-v, --verbose Verbose output
-h, --help Show this help message
Examples:
# Run comprehensive test for 5 minutes
$0 start -m comprehensive -d 5m
# Run producer-only test with high throughput
$0 start -m producer -p 20 -r 2000 -d 10m
# Run consumer-only test
$0 start -m consumer -c 10
# Run with monitoring
$0 start --monitoring -d 15m
# Clean up everything
$0 clean
Predefined Scenarios:
quick Quick smoke test (1 min, low load)
standard Standard load test (5 min, medium load)
stress Stress test (10 min, high load)
endurance Endurance test (30 min, sustained load)
burst Burst test (variable load)
EOF
}
# Parse command line arguments
parse_args() {
while [[ $# -gt 0 ]]; do
case $1 in
-m|--mode)
TEST_MODE="$2"
shift 2
;;
-d|--duration)
TEST_DURATION="$2"
shift 2
;;
-p|--producers)
PRODUCER_COUNT="$2"
shift 2
;;
-c|--consumers)
CONSUMER_COUNT="$2"
shift 2
;;
-r|--rate)
MESSAGE_RATE="$2"
shift 2
;;
-s|--size)
MESSAGE_SIZE="$2"
shift 2
;;
-t|--topics)
TOPIC_COUNT="$2"
shift 2
;;
--partitions)
PARTITIONS_PER_TOPIC="$2"
shift 2
;;
--config)
CONFIG_FILE="$2"
shift 2
;;
--monitoring)
ENABLE_MONITORING=1
shift
;;
--wait-ready)
WAIT_READY=1
shift
;;
-v|--verbose)
VERBOSE=1
shift
;;
-h|--help)
show_usage
exit 0
;;
-*)
log_error "Unknown option: $1"
show_usage
exit 1
;;
*)
if [[ -z "${COMMAND:-}" ]]; then
COMMAND="$1"
else
log_error "Multiple commands specified"
show_usage
exit 1
fi
shift
;;
esac
done
}
# Check if Docker and Docker Compose are available
check_dependencies() {
if ! command -v docker &> /dev/null; then
log_error "Docker is not installed or not in PATH"
exit 1
fi
if ! command -v docker-compose &> /dev/null && ! docker compose version &> /dev/null; then
log_error "Docker Compose is not installed or not in PATH"
exit 1
fi
# Use docker compose if available, otherwise docker-compose
if docker compose version &> /dev/null; then
DOCKER_COMPOSE="docker compose"
else
DOCKER_COMPOSE="docker-compose"
fi
}
# Wait for services to be ready
wait_for_services() {
log_info "Waiting for services to be ready..."
local timeout=300 # 5 minutes timeout
local elapsed=0
local check_interval=5
while [[ $elapsed -lt $timeout ]]; do
if $DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" ps --format table | grep -q "healthy"; then
if check_service_health; then
log_success "All services are ready!"
return 0
fi
fi
sleep $check_interval
elapsed=$((elapsed + check_interval))
log_info "Waiting... ($elapsed/${timeout}s)"
done
log_error "Services did not become ready within $timeout seconds"
return 1
}
# Check health of critical services
check_service_health() {
# Check Kafka Gateway
if ! curl -s http://localhost:9093 >/dev/null 2>&1; then
return 1
fi
# Check Schema Registry
if ! curl -s http://localhost:8081/subjects >/dev/null 2>&1; then
return 1
fi
return 0
}
# Start the load test infrastructure
start_services() {
log_info "Starting SeaweedFS Kafka load test infrastructure..."
# Set environment variables
export TEST_MODE="$TEST_MODE"
export TEST_DURATION="$TEST_DURATION"
export PRODUCER_COUNT="$PRODUCER_COUNT"
export CONSUMER_COUNT="$CONSUMER_COUNT"
export MESSAGE_RATE="$MESSAGE_RATE"
export MESSAGE_SIZE="$MESSAGE_SIZE"
export TOPIC_COUNT="$TOPIC_COUNT"
export PARTITIONS_PER_TOPIC="$PARTITIONS_PER_TOPIC"
# Start core services
$DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" up -d \
seaweedfs-master \
seaweedfs-volume \
seaweedfs-filer \
seaweedfs-mq-broker \
kafka-gateway \
schema-registry
# Start monitoring if enabled
if [[ "${ENABLE_MONITORING:-0}" == "1" ]]; then
log_info "Starting monitoring stack..."
$DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" --profile monitoring up -d
fi
# Wait for services to be ready if requested
if [[ "${WAIT_READY:-0}" == "1" ]]; then
wait_for_services
fi
log_success "Infrastructure started successfully"
}
# Run the load test
run_loadtest() {
log_info "Starting Kafka client load test..."
log_info "Mode: $TEST_MODE, Duration: $TEST_DURATION"
log_info "Producers: $PRODUCER_COUNT, Consumers: $CONSUMER_COUNT"
log_info "Message Rate: $MESSAGE_RATE msgs/sec, Size: $MESSAGE_SIZE bytes"
# Run the load test
$DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" --profile loadtest up --abort-on-container-exit kafka-client-loadtest
# Show test results
show_results
}
# Show test results
show_results() {
log_info "Load test completed! Gathering results..."
# Get final metrics from the load test container
if $DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" ps kafka-client-loadtest-runner &>/dev/null; then
log_info "Final test statistics:"
$DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" exec -T kafka-client-loadtest-runner curl -s http://localhost:8080/stats || true
fi
# Show Prometheus metrics if monitoring is enabled
if [[ "${ENABLE_MONITORING:-0}" == "1" ]]; then
log_info "Monitoring dashboards available at:"
log_info " Prometheus: http://localhost:9090"
log_info " Grafana: http://localhost:3000 (admin/admin)"
fi
# Show where results are stored
if [[ -d "$PROJECT_DIR/test-results" ]]; then
log_info "Test results saved to: $PROJECT_DIR/test-results/"
fi
}
# Stop services
stop_services() {
log_info "Stopping all services..."
$DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" --profile loadtest --profile monitoring down
log_success "Services stopped"
}
# Show service status
show_status() {
log_info "Service status:"
$DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" ps
}
# Show logs
show_logs() {
$DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" logs -f "${1:-}"
}
# Clean up all resources
clean_all() {
log_warning "This will remove all volumes, networks, and containers. Are you sure? (y/N)"
read -r response
if [[ "$response" =~ ^[Yy]$ ]]; then
log_info "Cleaning up all resources..."
$DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" --profile loadtest --profile monitoring down -v --remove-orphans
# Remove any remaining volumes
docker volume ls -q | grep -E "(kafka-client-loadtest|seaweedfs)" | xargs -r docker volume rm
# Remove networks
docker network ls -q | grep -E "kafka-client-loadtest" | xargs -r docker network rm
log_success "Cleanup completed"
else
log_info "Cleanup cancelled"
fi
}
# Run predefined scenarios
run_scenario() {
local scenario="$1"
case "$scenario" in
quick)
TEST_MODE="comprehensive"
TEST_DURATION="1m"
PRODUCER_COUNT=2
CONSUMER_COUNT=2
MESSAGE_RATE=100
MESSAGE_SIZE=512
TOPIC_COUNT=2
;;
standard)
TEST_MODE="comprehensive"
TEST_DURATION="5m"
PRODUCER_COUNT=5
CONSUMER_COUNT=3
MESSAGE_RATE=500
MESSAGE_SIZE=1024
TOPIC_COUNT=3
;;
stress)
TEST_MODE="comprehensive"
TEST_DURATION="10m"
PRODUCER_COUNT=20
CONSUMER_COUNT=10
MESSAGE_RATE=2000
MESSAGE_SIZE=2048
TOPIC_COUNT=10
;;
endurance)
TEST_MODE="comprehensive"
TEST_DURATION="30m"
PRODUCER_COUNT=10
CONSUMER_COUNT=5
MESSAGE_RATE=1000
MESSAGE_SIZE=1024
TOPIC_COUNT=5
;;
burst)
TEST_MODE="comprehensive"
TEST_DURATION="10m"
PRODUCER_COUNT=10
CONSUMER_COUNT=5
MESSAGE_RATE=1000
MESSAGE_SIZE=1024
TOPIC_COUNT=5
# Note: Burst behavior would be configured in the load test config
;;
*)
log_error "Unknown scenario: $scenario"
log_info "Available scenarios: quick, standard, stress, endurance, burst"
exit 1
;;
esac
log_info "Running $scenario scenario..."
start_services
if [[ "${WAIT_READY:-0}" == "1" ]]; then
wait_for_services
fi
run_loadtest
}
# Main execution
main() {
if [[ $# -eq 0 ]]; then
show_usage
exit 0
fi
parse_args "$@"
check_dependencies
case "${COMMAND:-}" in
start)
start_services
run_loadtest
;;
stop)
stop_services
;;
restart)
stop_services
start_services
;;
status)
show_status
;;
logs)
show_logs
;;
clean)
clean_all
;;
monitor)
ENABLE_MONITORING=1
$DOCKER_COMPOSE -f "$DOCKER_COMPOSE_FILE" --profile monitoring up -d
log_success "Monitoring stack started"
log_info "Prometheus: http://localhost:9090"
log_info "Grafana: http://localhost:3000 (admin/admin)"
;;
scenarios)
if [[ -n "${2:-}" ]]; then
run_scenario "$2"
else
log_error "Please specify a scenario"
log_info "Available scenarios: quick, standard, stress, endurance, burst"
exit 1
fi
;;
*)
log_error "Unknown command: ${COMMAND:-}"
show_usage
exit 1
;;
esac
}
# Set default values
ENABLE_MONITORING=0
WAIT_READY=0
VERBOSE=0
# Run main function
main "$@"

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#!/bin/bash
# Setup monitoring for Kafka Client Load Test
# This script sets up Prometheus and Grafana configurations
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
PROJECT_DIR="$(dirname "$SCRIPT_DIR")"
MONITORING_DIR="$PROJECT_DIR/monitoring"
# Colors
GREEN='\033[0;32m'
BLUE='\033[0;34m'
NC='\033[0m'
log_info() {
echo -e "${BLUE}[INFO]${NC} $1"
}
log_success() {
echo -e "${GREEN}[SUCCESS]${NC} $1"
}
# Create monitoring directory structure
setup_directories() {
log_info "Setting up monitoring directories..."
mkdir -p "$MONITORING_DIR/prometheus"
mkdir -p "$MONITORING_DIR/grafana/dashboards"
mkdir -p "$MONITORING_DIR/grafana/provisioning/dashboards"
mkdir -p "$MONITORING_DIR/grafana/provisioning/datasources"
log_success "Directories created"
}
# Create Prometheus configuration
create_prometheus_config() {
log_info "Creating Prometheus configuration..."
cat > "$MONITORING_DIR/prometheus/prometheus.yml" << 'EOF'
# Prometheus configuration for Kafka Load Test monitoring
global:
scrape_interval: 15s
evaluation_interval: 15s
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
scrape_configs:
# Scrape Prometheus itself
- job_name: 'prometheus'
static_configs:
- targets: ['localhost:9090']
# Scrape load test metrics
- job_name: 'kafka-loadtest'
static_configs:
- targets: ['kafka-client-loadtest-runner:8080']
scrape_interval: 5s
metrics_path: '/metrics'
# Scrape SeaweedFS Master metrics
- job_name: 'seaweedfs-master'
static_configs:
- targets: ['seaweedfs-master:9333']
metrics_path: '/metrics'
# Scrape SeaweedFS Volume metrics
- job_name: 'seaweedfs-volume'
static_configs:
- targets: ['seaweedfs-volume:8080']
metrics_path: '/metrics'
# Scrape SeaweedFS Filer metrics
- job_name: 'seaweedfs-filer'
static_configs:
- targets: ['seaweedfs-filer:8888']
metrics_path: '/metrics'
# Scrape SeaweedFS MQ Broker metrics (if available)
- job_name: 'seaweedfs-mq-broker'
static_configs:
- targets: ['seaweedfs-mq-broker:17777']
metrics_path: '/metrics'
scrape_interval: 10s
# Scrape Kafka Gateway metrics (if available)
- job_name: 'kafka-gateway'
static_configs:
- targets: ['kafka-gateway:9093']
metrics_path: '/metrics'
scrape_interval: 10s
EOF
log_success "Prometheus configuration created"
}
# Create Grafana datasource configuration
create_grafana_datasource() {
log_info "Creating Grafana datasource configuration..."
cat > "$MONITORING_DIR/grafana/provisioning/datasources/datasource.yml" << 'EOF'
apiVersion: 1
datasources:
- name: Prometheus
type: prometheus
access: proxy
orgId: 1
url: http://prometheus:9090
basicAuth: false
isDefault: true
editable: true
version: 1
EOF
log_success "Grafana datasource configuration created"
}
# Create Grafana dashboard provisioning
create_grafana_dashboard_provisioning() {
log_info "Creating Grafana dashboard provisioning..."
cat > "$MONITORING_DIR/grafana/provisioning/dashboards/dashboard.yml" << 'EOF'
apiVersion: 1
providers:
- name: 'default'
orgId: 1
folder: ''
type: file
disableDeletion: false
editable: true
options:
path: /var/lib/grafana/dashboards
EOF
log_success "Grafana dashboard provisioning created"
}
# Create Kafka Load Test dashboard
create_loadtest_dashboard() {
log_info "Creating Kafka Load Test Grafana dashboard..."
cat > "$MONITORING_DIR/grafana/dashboards/kafka-loadtest.json" << 'EOF'
{
"dashboard": {
"id": null,
"title": "Kafka Client Load Test Dashboard",
"tags": ["kafka", "loadtest", "seaweedfs"],
"timezone": "browser",
"panels": [
{
"id": 1,
"title": "Messages Produced/Consumed",
"type": "stat",
"targets": [
{
"expr": "rate(kafka_loadtest_messages_produced_total[5m])",
"legendFormat": "Produced/sec"
},
{
"expr": "rate(kafka_loadtest_messages_consumed_total[5m])",
"legendFormat": "Consumed/sec"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 0}
},
{
"id": 2,
"title": "Message Latency",
"type": "graph",
"targets": [
{
"expr": "histogram_quantile(0.95, kafka_loadtest_message_latency_seconds)",
"legendFormat": "95th percentile"
},
{
"expr": "histogram_quantile(0.99, kafka_loadtest_message_latency_seconds)",
"legendFormat": "99th percentile"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 0}
},
{
"id": 3,
"title": "Error Rates",
"type": "graph",
"targets": [
{
"expr": "rate(kafka_loadtest_producer_errors_total[5m])",
"legendFormat": "Producer Errors/sec"
},
{
"expr": "rate(kafka_loadtest_consumer_errors_total[5m])",
"legendFormat": "Consumer Errors/sec"
}
],
"gridPos": {"h": 8, "w": 24, "x": 0, "y": 8}
},
{
"id": 4,
"title": "Throughput (MB/s)",
"type": "graph",
"targets": [
{
"expr": "rate(kafka_loadtest_bytes_produced_total[5m]) / 1024 / 1024",
"legendFormat": "Produced MB/s"
},
{
"expr": "rate(kafka_loadtest_bytes_consumed_total[5m]) / 1024 / 1024",
"legendFormat": "Consumed MB/s"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 16}
},
{
"id": 5,
"title": "Active Clients",
"type": "stat",
"targets": [
{
"expr": "kafka_loadtest_active_producers",
"legendFormat": "Producers"
},
{
"expr": "kafka_loadtest_active_consumers",
"legendFormat": "Consumers"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 16}
},
{
"id": 6,
"title": "Consumer Lag",
"type": "graph",
"targets": [
{
"expr": "kafka_loadtest_consumer_lag_messages",
"legendFormat": "{{consumer_group}}-{{topic}}-{{partition}}"
}
],
"gridPos": {"h": 8, "w": 24, "x": 0, "y": 24}
}
],
"time": {"from": "now-30m", "to": "now"},
"refresh": "5s",
"schemaVersion": 16,
"version": 0
}
}
EOF
log_success "Kafka Load Test dashboard created"
}
# Create SeaweedFS dashboard
create_seaweedfs_dashboard() {
log_info "Creating SeaweedFS Grafana dashboard..."
cat > "$MONITORING_DIR/grafana/dashboards/seaweedfs.json" << 'EOF'
{
"dashboard": {
"id": null,
"title": "SeaweedFS Cluster Dashboard",
"tags": ["seaweedfs", "storage"],
"timezone": "browser",
"panels": [
{
"id": 1,
"title": "Master Status",
"type": "stat",
"targets": [
{
"expr": "up{job=\"seaweedfs-master\"}",
"legendFormat": "Master Up"
}
],
"gridPos": {"h": 4, "w": 6, "x": 0, "y": 0}
},
{
"id": 2,
"title": "Volume Status",
"type": "stat",
"targets": [
{
"expr": "up{job=\"seaweedfs-volume\"}",
"legendFormat": "Volume Up"
}
],
"gridPos": {"h": 4, "w": 6, "x": 6, "y": 0}
},
{
"id": 3,
"title": "Filer Status",
"type": "stat",
"targets": [
{
"expr": "up{job=\"seaweedfs-filer\"}",
"legendFormat": "Filer Up"
}
],
"gridPos": {"h": 4, "w": 6, "x": 12, "y": 0}
},
{
"id": 4,
"title": "MQ Broker Status",
"type": "stat",
"targets": [
{
"expr": "up{job=\"seaweedfs-mq-broker\"}",
"legendFormat": "MQ Broker Up"
}
],
"gridPos": {"h": 4, "w": 6, "x": 18, "y": 0}
}
],
"time": {"from": "now-30m", "to": "now"},
"refresh": "10s",
"schemaVersion": 16,
"version": 0
}
}
EOF
log_success "SeaweedFS dashboard created"
}
# Main setup function
main() {
log_info "Setting up monitoring for Kafka Client Load Test..."
setup_directories
create_prometheus_config
create_grafana_datasource
create_grafana_dashboard_provisioning
create_loadtest_dashboard
create_seaweedfs_dashboard
log_success "Monitoring setup completed!"
log_info "You can now start the monitoring stack with:"
log_info " ./scripts/run-loadtest.sh monitor"
log_info ""
log_info "After starting, access:"
log_info " Prometheus: http://localhost:9090"
log_info " Grafana: http://localhost:3000 (admin/admin)"
}
main "$@"

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#!/bin/bash
# Test script to verify the retry logic works correctly
# Simulates Schema Registry eventual consistency behavior
set -euo pipefail
# Colors
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[0;33m'
BLUE='\033[0;34m'
NC='\033[0m'
log_info() {
echo -e "${BLUE}[TEST]${NC} $1"
}
log_success() {
echo -e "${GREEN}[PASS]${NC} $1"
}
log_error() {
echo -e "${RED}[FAIL]${NC} $1"
}
# Mock function that simulates Schema Registry eventual consistency
# First N attempts fail, then succeeds
mock_schema_registry_query() {
local subject=$1
local min_attempts_to_succeed=$2
local current_attempt=$3
if [[ $current_attempt -ge $min_attempts_to_succeed ]]; then
# Simulate successful response
echo '{"id":1,"version":1,"schema":"test"}'
return 0
else
# Simulate 404 Not Found
echo '{"error_code":40401,"message":"Subject not found"}'
return 1
fi
}
# Simulate verify_schema_with_retry logic
test_verify_with_retry() {
local subject=$1
local min_attempts_to_succeed=$2
local max_attempts=5
local attempt=1
log_info "Testing $subject (should succeed after $min_attempts_to_succeed attempts)"
while [[ $attempt -le $max_attempts ]]; do
local response
if response=$(mock_schema_registry_query "$subject" "$min_attempts_to_succeed" "$attempt"); then
if echo "$response" | grep -q '"id"'; then
if [[ $attempt -gt 1 ]]; then
log_success "$subject verified after $attempt attempts"
else
log_success "$subject verified on first attempt"
fi
return 0
fi
fi
# Schema not found, wait and retry
if [[ $attempt -lt $max_attempts ]]; then
# Exponential backoff: 0.1s, 0.2s, 0.4s, 0.8s
local wait_time=$(echo "scale=3; 0.1 * (2 ^ ($attempt - 1))" | bc)
log_info " Attempt $attempt failed, waiting ${wait_time}s before retry..."
sleep "$wait_time"
attempt=$((attempt + 1))
else
log_error "$subject verification failed after $max_attempts attempts"
return 1
fi
done
return 1
}
# Run tests
log_info "=========================================="
log_info "Testing Schema Registry Retry Logic"
log_info "=========================================="
echo ""
# Test 1: Schema available immediately
log_info "Test 1: Schema available immediately"
if test_verify_with_retry "immediate-schema" 1; then
log_success "✓ Test 1 passed"
else
log_error "✗ Test 1 failed"
exit 1
fi
echo ""
# Test 2: Schema available after 2 attempts (200ms delay)
log_info "Test 2: Schema available after 2 attempts"
if test_verify_with_retry "delayed-schema-2" 2; then
log_success "✓ Test 2 passed"
else
log_error "✗ Test 2 failed"
exit 1
fi
echo ""
# Test 3: Schema available after 3 attempts (600ms delay)
log_info "Test 3: Schema available after 3 attempts"
if test_verify_with_retry "delayed-schema-3" 3; then
log_success "✓ Test 3 passed"
else
log_error "✗ Test 3 failed"
exit 1
fi
echo ""
# Test 4: Schema available after 4 attempts (1400ms delay)
log_info "Test 4: Schema available after 4 attempts"
if test_verify_with_retry "delayed-schema-4" 4; then
log_success "✓ Test 4 passed"
else
log_error "✗ Test 4 failed"
exit 1
fi
echo ""
# Test 5: Schema never available (should fail)
log_info "Test 5: Schema never available (should fail gracefully)"
if test_verify_with_retry "missing-schema" 10; then
log_error "✗ Test 5 failed (should have failed but passed)"
exit 1
else
log_success "✓ Test 5 passed (correctly failed after max attempts)"
fi
echo ""
log_success "=========================================="
log_success "All tests passed! ✓"
log_success "=========================================="
log_info ""
log_info "Summary:"
log_info "- Immediate availability: works ✓"
log_info "- 2-4 retry attempts: works ✓"
log_info "- Max attempts handling: works ✓"
log_info "- Exponential backoff: works ✓"
log_info ""
log_info "Total retry time budget: ~1.5 seconds (0.1+0.2+0.4+0.8)"
log_info "This should handle Schema Registry consumer lag gracefully."

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#!/bin/bash
# Wait for SeaweedFS and Kafka Gateway services to be ready
# This script checks service health and waits until all services are operational
set -euo pipefail
# Colors
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[0;33m'
BLUE='\033[0;34m'
NC='\033[0m'
log_info() {
echo -e "${BLUE}[INFO]${NC} $1"
}
log_success() {
echo -e "${GREEN}[SUCCESS]${NC} $1"
}
log_warning() {
echo -e "${YELLOW}[WARNING]${NC} $1"
}
log_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
# Configuration
TIMEOUT=${TIMEOUT:-300} # 5 minutes default timeout
CHECK_INTERVAL=${CHECK_INTERVAL:-5} # Check every 5 seconds
SEAWEEDFS_MASTER_URL=${SEAWEEDFS_MASTER_URL:-"http://localhost:9333"}
KAFKA_GATEWAY_URL=${KAFKA_GATEWAY_URL:-"localhost:9093"}
SCHEMA_REGISTRY_URL=${SCHEMA_REGISTRY_URL:-"http://localhost:8081"}
SEAWEEDFS_FILER_URL=${SEAWEEDFS_FILER_URL:-"http://localhost:8888"}
# Check if a service is reachable
check_http_service() {
local url=$1
local name=$2
if curl -sf "$url" >/dev/null 2>&1; then
return 0
else
return 1
fi
}
# Check TCP port
check_tcp_service() {
local host=$1
local port=$2
local name=$3
if timeout 3 bash -c "</dev/tcp/$host/$port" 2>/dev/null; then
return 0
else
return 1
fi
}
# Check SeaweedFS Master
check_seaweedfs_master() {
if check_http_service "$SEAWEEDFS_MASTER_URL/cluster/status" "SeaweedFS Master"; then
# Additional check: ensure cluster has volumes
local status_json
status_json=$(curl -s "$SEAWEEDFS_MASTER_URL/cluster/status" 2>/dev/null || echo "{}")
# Check if we have at least one volume server
if echo "$status_json" | grep -q '"Max":0'; then
log_warning "SeaweedFS Master is running but no volumes are available"
return 1
fi
return 0
fi
return 1
}
# Check SeaweedFS Filer
check_seaweedfs_filer() {
check_http_service "$SEAWEEDFS_FILER_URL/" "SeaweedFS Filer"
}
# Check Kafka Gateway
check_kafka_gateway() {
local host="localhost"
local port="9093"
check_tcp_service "$host" "$port" "Kafka Gateway"
}
# Check Schema Registry
check_schema_registry() {
# Check if Schema Registry container is running first
if ! docker compose ps schema-registry | grep -q "Up"; then
# Schema Registry is not running, which is okay for basic tests
return 0
fi
# FIXED: Wait for Docker healthcheck to report "healthy", not just "Up"
# Schema Registry has a 30s start_period, so we need to wait for the actual healthcheck
local health_status
health_status=$(docker inspect loadtest-schema-registry --format='{{.State.Health.Status}}' 2>/dev/null || echo "none")
# If container has no healthcheck or healthcheck is not yet healthy, check HTTP directly
if [[ "$health_status" == "healthy" ]]; then
# Container reports healthy, do a final verification
if check_http_service "$SCHEMA_REGISTRY_URL/subjects" "Schema Registry"; then
return 0
fi
elif [[ "$health_status" == "starting" ]]; then
# Still in startup period, wait longer
return 1
elif [[ "$health_status" == "none" ]]; then
# No healthcheck defined (shouldn't happen), fall back to HTTP check
if check_http_service "$SCHEMA_REGISTRY_URL/subjects" "Schema Registry"; then
local subjects
subjects=$(curl -s "$SCHEMA_REGISTRY_URL/subjects" 2>/dev/null || echo "[]")
# Schema registry should at least return an empty array
if [[ "$subjects" == "[]" ]]; then
return 0
elif echo "$subjects" | grep -q '\['; then
return 0
else
log_warning "Schema Registry is not properly connected"
return 1
fi
fi
fi
return 1
}
# Check MQ Broker
check_mq_broker() {
check_tcp_service "localhost" "17777" "SeaweedFS MQ Broker"
}
# Main health check function
check_all_services() {
local all_healthy=true
log_info "Checking service health..."
# Check SeaweedFS Master
if check_seaweedfs_master; then
log_success "✓ SeaweedFS Master is healthy"
else
log_error "✗ SeaweedFS Master is not ready"
all_healthy=false
fi
# Check SeaweedFS Filer
if check_seaweedfs_filer; then
log_success "✓ SeaweedFS Filer is healthy"
else
log_error "✗ SeaweedFS Filer is not ready"
all_healthy=false
fi
# Check MQ Broker
if check_mq_broker; then
log_success "✓ SeaweedFS MQ Broker is healthy"
else
log_error "✗ SeaweedFS MQ Broker is not ready"
all_healthy=false
fi
# Check Kafka Gateway
if check_kafka_gateway; then
log_success "✓ Kafka Gateway is healthy"
else
log_error "✗ Kafka Gateway is not ready"
all_healthy=false
fi
# Check Schema Registry
if ! docker compose ps schema-registry | grep -q "Up"; then
log_warning "⚠ Schema Registry is stopped (skipping)"
elif check_schema_registry; then
log_success "✓ Schema Registry is healthy"
else
# Check if it's still starting up (healthcheck start_period)
local health_status
health_status=$(docker inspect loadtest-schema-registry --format='{{.State.Health.Status}}' 2>/dev/null || echo "unknown")
if [[ "$health_status" == "starting" ]]; then
log_warning "⏳ Schema Registry is starting (waiting for healthcheck...)"
else
log_error "✗ Schema Registry is not ready (status: $health_status)"
fi
all_healthy=false
fi
$all_healthy
}
# Wait for all services to be ready
wait_for_services() {
log_info "Waiting for all services to be ready (timeout: ${TIMEOUT}s)..."
local elapsed=0
while [[ $elapsed -lt $TIMEOUT ]]; do
if check_all_services; then
log_success "All services are ready! (took ${elapsed}s)"
return 0
fi
log_info "Some services are not ready yet. Waiting ${CHECK_INTERVAL}s... (${elapsed}/${TIMEOUT}s)"
sleep $CHECK_INTERVAL
elapsed=$((elapsed + CHECK_INTERVAL))
done
log_error "Services did not become ready within ${TIMEOUT} seconds"
log_error "Final service status:"
check_all_services
# Always dump Schema Registry diagnostics on timeout since it's the problematic service
log_error "==========================================="
log_error "Schema Registry Container Status:"
log_error "==========================================="
docker compose ps schema-registry 2>&1 || echo "Failed to get container status"
docker inspect loadtest-schema-registry --format='Health: {{.State.Health.Status}} ({{len .State.Health.Log}} checks)' 2>&1 || echo "Failed to inspect container"
log_error "==========================================="
log_error "Network Connectivity Check:"
log_error "==========================================="
log_error "Can Schema Registry reach Kafka Gateway?"
docker compose exec -T schema-registry ping -c 3 kafka-gateway 2>&1 || echo "Ping failed"
docker compose exec -T schema-registry nc -zv kafka-gateway 9093 2>&1 || echo "Port 9093 unreachable"
log_error "==========================================="
log_error "Schema Registry Logs (last 100 lines):"
log_error "==========================================="
docker compose logs --tail=100 schema-registry 2>&1 || echo "Failed to get Schema Registry logs"
log_error "==========================================="
log_error "Kafka Gateway Logs (last 50 lines with 'SR' prefix):"
log_error "==========================================="
docker compose logs --tail=200 kafka-gateway 2>&1 | grep -i "SR" | tail -50 || echo "No SR-related logs found in Kafka Gateway"
log_error "==========================================="
log_error "MQ Broker Logs (last 30 lines):"
log_error "==========================================="
docker compose logs --tail=30 seaweedfs-mq-broker 2>&1 || echo "Failed to get MQ Broker logs"
log_error "==========================================="
return 1
}
# Show current service status
show_status() {
log_info "Current service status:"
check_all_services
}
# Main function
main() {
case "${1:-wait}" in
"wait")
wait_for_services
;;
"check")
show_status
;;
"status")
show_status
;;
*)
echo "Usage: $0 [wait|check|status]"
echo ""
echo "Commands:"
echo " wait - Wait for all services to be ready (default)"
echo " check - Check current service status"
echo " status - Same as check"
echo ""
echo "Environment variables:"
echo " TIMEOUT - Maximum time to wait in seconds (default: 300)"
echo " CHECK_INTERVAL - Check interval in seconds (default: 5)"
echo " SEAWEEDFS_MASTER_URL - Master URL (default: http://localhost:9333)"
echo " KAFKA_GATEWAY_URL - Gateway URL (default: localhost:9093)"
echo " SCHEMA_REGISTRY_URL - Schema Registry URL (default: http://localhost:8081)"
echo " SEAWEEDFS_FILER_URL - Filer URL (default: http://localhost:8888)"
exit 1
;;
esac
}
main "$@"

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#!/bin/bash
# Single partition test - produce and consume from ONE topic, ONE partition
set -e
echo "================================================================"
echo " Single Partition Test - Isolate Missing Messages"
echo " - Topic: single-test-topic (1 partition only)"
echo " - Duration: 2 minutes"
echo " - Producer: 1 (50 msgs/sec)"
echo " - Consumer: 1 (reading from partition 0 only)"
echo "================================================================"
# Clean up
make clean
make start
# Run test with single topic, single partition
TEST_MODE=comprehensive \
TEST_DURATION=2m \
PRODUCER_COUNT=1 \
CONSUMER_COUNT=1 \
MESSAGE_RATE=50 \
MESSAGE_SIZE=512 \
TOPIC_COUNT=1 \
PARTITIONS_PER_TOPIC=1 \
VALUE_TYPE=avro \
docker compose --profile loadtest up --abort-on-container-exit kafka-client-loadtest
echo ""
echo "================================================================"
echo " Single Partition Test Complete!"
echo "================================================================"
echo ""
echo "Analyzing results..."
cd test-results && python3 analyze_missing.py

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#!/bin/bash
# Test without schema registry to isolate missing messages issue
# Clean old data
find test-results -name "*.jsonl" -delete 2>/dev/null || true
# Run test without schemas
TEST_MODE=comprehensive \
TEST_DURATION=1m \
PRODUCER_COUNT=2 \
CONSUMER_COUNT=2 \
MESSAGE_RATE=50 \
MESSAGE_SIZE=512 \
VALUE_TYPE=json \
SCHEMAS_ENABLED=false \
docker compose --profile loadtest up --abort-on-container-exit kafka-client-loadtest
echo ""
echo "═══════════════════════════════════════════════════════"
echo "Analyzing results..."
if [ -f test-results/produced.jsonl ] && [ -f test-results/consumed.jsonl ]; then
produced=$(wc -l < test-results/produced.jsonl)
consumed=$(wc -l < test-results/consumed.jsonl)
echo "Produced: $produced"
echo "Consumed: $consumed"
# Check for missing messages
jq -r '"\(.topic)[\(.partition)]@\(.offset)"' test-results/produced.jsonl | sort > /tmp/produced.txt
jq -r '"\(.topic)[\(.partition)]@\(.offset)"' test-results/consumed.jsonl | sort > /tmp/consumed.txt
missing=$(comm -23 /tmp/produced.txt /tmp/consumed.txt | wc -l)
echo "Missing: $missing"
if [ $missing -eq 0 ]; then
echo "✓ NO MISSING MESSAGES!"
else
echo "✗ Still have missing messages"
echo "Sample missing:"
comm -23 /tmp/produced.txt /tmp/consumed.txt | head -10
fi
else
echo "✗ Result files not found"
fi
echo "═══════════════════════════════════════════════════════"

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package main
import (
"context"
"log"
"time"
"github.com/IBM/sarama"
)
func main() {
log.Println("=== Testing OffsetFetch with Debug Sarama ===")
config := sarama.NewConfig()
config.Version = sarama.V2_8_0_0
config.Consumer.Return.Errors = true
config.Consumer.Offsets.Initial = sarama.OffsetOldest
config.Consumer.Offsets.AutoCommit.Enable = true
config.Consumer.Offsets.AutoCommit.Interval = 100 * time.Millisecond
config.Consumer.Group.Session.Timeout = 30 * time.Second
config.Consumer.Group.Heartbeat.Interval = 3 * time.Second
brokers := []string{"localhost:9093"}
group := "test-offset-fetch-group"
topics := []string{"loadtest-topic-0"}
log.Printf("Creating consumer group: group=%s brokers=%v topics=%v", group, brokers, topics)
consumerGroup, err := sarama.NewConsumerGroup(brokers, group, config)
if err != nil {
log.Fatalf("Failed to create consumer group: %v", err)
}
defer consumerGroup.Close()
ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
defer cancel()
handler := &testHandler{}
log.Println("Starting consumer group session...")
log.Println("Watch for 🔍 [SARAMA-DEBUG] logs to trace OffsetFetch calls")
go func() {
for {
if err := consumerGroup.Consume(ctx, topics, handler); err != nil {
log.Printf("Error from consumer: %v", err)
}
if ctx.Err() != nil {
return
}
}
}()
// Wait for context to be done
<-ctx.Done()
log.Println("Test completed")
}
type testHandler struct{}
func (h *testHandler) Setup(session sarama.ConsumerGroupSession) error {
log.Printf("✓ Consumer group session setup: generation=%d memberID=%s", session.GenerationID(), session.MemberID())
return nil
}
func (h *testHandler) Cleanup(session sarama.ConsumerGroupSession) error {
log.Println("Consumer group session cleanup")
return nil
}
func (h *testHandler) ConsumeClaim(session sarama.ConsumerGroupSession, claim sarama.ConsumerGroupClaim) error {
log.Printf("✓ Started consuming: topic=%s partition=%d offset=%d", claim.Topic(), claim.Partition(), claim.InitialOffset())
count := 0
for message := range claim.Messages() {
count++
log.Printf(" Received message #%d: offset=%d", count, message.Offset)
session.MarkMessage(message, "")
if count >= 5 {
log.Println("Received 5 messages, stopping")
return nil
}
}
return nil
}

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import org.apache.kafka.clients.admin.AdminClient;
import org.apache.kafka.clients.admin.AdminClientConfig;
import org.apache.kafka.clients.admin.DescribeClusterResult;
import org.apache.kafka.common.Node;
import java.io.*;
import java.net.*;
import java.nio.ByteBuffer;
import java.util.*;
import java.util.concurrent.ExecutionException;
public class AdminClientDebugger {
public static void main(String[] args) throws Exception {
String broker = args.length > 0 ? args[0] : "localhost:9093";
System.out.println("=".repeat(80));
System.out.println("KAFKA ADMINCLIENT DEBUGGER");
System.out.println("=".repeat(80));
System.out.println("Target broker: " + broker);
// Test 1: Raw socket - capture exact bytes
System.out.println("\n" + "=".repeat(80));
System.out.println("TEST 1: Raw Socket - Capture ApiVersions Exchange");
System.out.println("=".repeat(80));
testRawSocket(broker);
// Test 2: AdminClient with detailed logging
System.out.println("\n" + "=".repeat(80));
System.out.println("TEST 2: AdminClient with Logging");
System.out.println("=".repeat(80));
testAdminClient(broker);
}
private static void testRawSocket(String broker) {
String[] parts = broker.split(":");
String host = parts[0];
int port = Integer.parseInt(parts[1]);
try (Socket socket = new Socket(host, port)) {
socket.setSoTimeout(10000);
InputStream in = socket.getInputStream();
OutputStream out = socket.getOutputStream();
System.out.println("Connected to " + broker);
// Build ApiVersions request (v4)
// Format:
// [Size][ApiKey=18][ApiVersion=4][CorrelationId=0][ClientId][TaggedFields]
ByteArrayOutputStream requestBody = new ByteArrayOutputStream();
// ApiKey (2 bytes) = 18
requestBody.write(0);
requestBody.write(18);
// ApiVersion (2 bytes) = 4
requestBody.write(0);
requestBody.write(4);
// CorrelationId (4 bytes) = 0
requestBody.write(new byte[] { 0, 0, 0, 0 });
// ClientId (compact string) = "debug-client"
String clientId = "debug-client";
writeCompactString(requestBody, clientId);
// Tagged fields (empty)
requestBody.write(0x00);
byte[] request = requestBody.toByteArray();
// Write size
ByteBuffer sizeBuffer = ByteBuffer.allocate(4);
sizeBuffer.putInt(request.length);
out.write(sizeBuffer.array());
// Write request
out.write(request);
out.flush();
System.out.println("\nSENT ApiVersions v4 Request:");
System.out.println(" Size: " + request.length + " bytes");
hexDump(" Request", request, Math.min(64, request.length));
// Read response size
byte[] sizeBytes = new byte[4];
int read = in.read(sizeBytes);
if (read != 4) {
System.out.println("Failed to read response size (got " + read + " bytes)");
return;
}
int responseSize = ByteBuffer.wrap(sizeBytes).getInt();
System.out.println("\nRECEIVED Response:");
System.out.println(" Size: " + responseSize + " bytes");
// Read response body
byte[] responseBytes = new byte[responseSize];
int totalRead = 0;
while (totalRead < responseSize) {
int n = in.read(responseBytes, totalRead, responseSize - totalRead);
if (n == -1) {
System.out.println("Unexpected EOF after " + totalRead + " bytes");
return;
}
totalRead += n;
}
System.out.println(" Read complete response: " + totalRead + " bytes");
// Decode response
System.out.println("\nRESPONSE STRUCTURE:");
decodeApiVersionsResponse(responseBytes);
// Try to read more (should timeout or get EOF)
System.out.println("\n⏱️ Waiting for any additional data (10s timeout)...");
socket.setSoTimeout(10000);
try {
int nextByte = in.read();
if (nextByte == -1) {
System.out.println(" Server closed connection (EOF)");
} else {
System.out.println(" Unexpected data: " + nextByte);
}
} catch (SocketTimeoutException e) {
System.out.println(" Timeout - no additional data");
}
} catch (Exception e) {
System.out.println("Error: " + e.getMessage());
e.printStackTrace();
}
}
private static void testAdminClient(String broker) {
Properties props = new Properties();
props.put(AdminClientConfig.BOOTSTRAP_SERVERS_CONFIG, broker);
props.put(AdminClientConfig.CLIENT_ID_CONFIG, "admin-client-debugger");
props.put(AdminClientConfig.REQUEST_TIMEOUT_MS_CONFIG, 10000);
props.put(AdminClientConfig.DEFAULT_API_TIMEOUT_MS_CONFIG, 10000);
System.out.println("Creating AdminClient with config:");
props.forEach((k, v) -> System.out.println(" " + k + " = " + v));
try (AdminClient adminClient = AdminClient.create(props)) {
System.out.println("AdminClient created");
// Give the thread time to start
Thread.sleep(1000);
System.out.println("\nCalling describeCluster()...");
DescribeClusterResult result = adminClient.describeCluster();
System.out.println(" Waiting for nodes...");
Collection<Node> nodes = result.nodes().get();
System.out.println("Cluster description retrieved:");
System.out.println(" Nodes: " + nodes.size());
for (Node node : nodes) {
System.out.println(" - Node " + node.id() + ": " + node.host() + ":" + node.port());
}
System.out.println("\n Cluster ID: " + result.clusterId().get());
Node controller = result.controller().get();
if (controller != null) {
System.out.println(" Controller: Node " + controller.id());
}
} catch (ExecutionException e) {
System.out.println("Execution error: " + e.getCause().getMessage());
e.getCause().printStackTrace();
} catch (Exception e) {
System.out.println("Error: " + e.getMessage());
e.printStackTrace();
}
}
private static void decodeApiVersionsResponse(byte[] data) {
int offset = 0;
try {
// Correlation ID (4 bytes)
int correlationId = ByteBuffer.wrap(data, offset, 4).getInt();
System.out.println(" [Offset " + offset + "] Correlation ID: " + correlationId);
offset += 4;
// Header tagged fields (varint - should be 0x00 for flexible v3+)
int taggedFieldsLength = readUnsignedVarint(data, offset);
System.out.println(" [Offset " + offset + "] Header Tagged Fields Length: " + taggedFieldsLength);
offset += varintSize(data[offset]);
// Error code (2 bytes)
short errorCode = ByteBuffer.wrap(data, offset, 2).getShort();
System.out.println(" [Offset " + offset + "] Error Code: " + errorCode);
offset += 2;
// API Keys array (compact array - varint length)
int apiKeysLength = readUnsignedVarint(data, offset) - 1; // Compact array: length+1
System.out.println(" [Offset " + offset + "] API Keys Count: " + apiKeysLength);
offset += varintSize(data[offset]);
// Show first few API keys
System.out.println(" First 5 API Keys:");
for (int i = 0; i < Math.min(5, apiKeysLength); i++) {
short apiKey = ByteBuffer.wrap(data, offset, 2).getShort();
offset += 2;
short minVersion = ByteBuffer.wrap(data, offset, 2).getShort();
offset += 2;
short maxVersion = ByteBuffer.wrap(data, offset, 2).getShort();
offset += 2;
// Per-element tagged fields
int perElementTagged = readUnsignedVarint(data, offset);
offset += varintSize(data[offset]);
System.out.println(" " + (i + 1) + ". API " + apiKey + ": v" + minVersion + "-v" + maxVersion);
}
System.out.println(" ... (showing first 5 of " + apiKeysLength + " APIs)");
System.out.println(" Response structure is valid!");
// Hex dump of first 64 bytes
hexDump("\n First 64 bytes", data, Math.min(64, data.length));
} catch (Exception e) {
System.out.println(" Failed to decode at offset " + offset + ": " + e.getMessage());
hexDump(" Raw bytes", data, Math.min(128, data.length));
}
}
private static int readUnsignedVarint(byte[] data, int offset) {
int value = 0;
int shift = 0;
while (true) {
byte b = data[offset++];
value |= (b & 0x7F) << shift;
if ((b & 0x80) == 0)
break;
shift += 7;
}
return value;
}
private static int varintSize(byte firstByte) {
int size = 1;
byte b = firstByte;
while ((b & 0x80) != 0) {
size++;
b = (byte) (b << 1);
}
return size;
}
private static void writeCompactString(ByteArrayOutputStream out, String str) {
byte[] bytes = str.getBytes();
writeUnsignedVarint(out, bytes.length + 1); // Compact string: length+1
out.write(bytes, 0, bytes.length);
}
private static void writeUnsignedVarint(ByteArrayOutputStream out, int value) {
while ((value & ~0x7F) != 0) {
out.write((byte) ((value & 0x7F) | 0x80));
value >>>= 7;
}
out.write((byte) value);
}
private static void hexDump(String label, byte[] data, int length) {
System.out.println(label + " (hex dump):");
for (int i = 0; i < length; i += 16) {
System.out.printf(" %04x ", i);
for (int j = 0; j < 16; j++) {
if (i + j < length) {
System.out.printf("%02x ", data[i + j] & 0xFF);
} else {
System.out.print(" ");
}
if (j == 7)
System.out.print(" ");
}
System.out.print(" |");
for (int j = 0; j < 16 && i + j < length; j++) {
byte b = data[i + j];
System.out.print((b >= 32 && b < 127) ? (char) b : '.');
}
System.out.println("|");
}
}
}

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import org.apache.kafka.clients.admin.AdminClient;
import org.apache.kafka.clients.admin.AdminClientConfig;
import org.apache.kafka.clients.admin.DescribeClusterResult;
import org.apache.kafka.clients.admin.ListTopicsResult;
import java.util.Properties;
import java.util.concurrent.TimeUnit;
public class JavaAdminClientTest {
public static void main(String[] args) {
// Set uncaught exception handler to catch AdminClient thread errors
Thread.setDefaultUncaughtExceptionHandler((t, e) -> {
System.err.println("UNCAUGHT EXCEPTION in thread " + t.getName() + ":");
e.printStackTrace();
});
String bootstrapServers = args.length > 0 ? args[0] : "localhost:9093";
System.out.println("Testing Kafka wire protocol with broker: " + bootstrapServers);
Properties props = new Properties();
props.put(AdminClientConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(AdminClientConfig.REQUEST_TIMEOUT_MS_CONFIG, 10000);
props.put(AdminClientConfig.DEFAULT_API_TIMEOUT_MS_CONFIG, 10000);
props.put(AdminClientConfig.CLIENT_ID_CONFIG, "java-admin-test");
props.put(AdminClientConfig.CONNECTIONS_MAX_IDLE_MS_CONFIG, 120000);
props.put(AdminClientConfig.SOCKET_CONNECTION_SETUP_TIMEOUT_MS_CONFIG, 10000);
props.put(AdminClientConfig.SOCKET_CONNECTION_SETUP_TIMEOUT_MAX_MS_CONFIG, 30000);
props.put(AdminClientConfig.SECURITY_PROTOCOL_CONFIG, "PLAINTEXT");
props.put(AdminClientConfig.RECONNECT_BACKOFF_MS_CONFIG, 50);
props.put(AdminClientConfig.RECONNECT_BACKOFF_MAX_MS_CONFIG, 1000);
System.out.println("Creating AdminClient with config:");
props.forEach((k, v) -> System.out.println(" " + k + " = " + v));
try (AdminClient adminClient = AdminClient.create(props)) {
System.out.println("AdminClient created successfully");
Thread.sleep(2000); // Give it time to initialize
// Test 1: Describe Cluster (uses Metadata API internally)
System.out.println("\n=== Test 1: Describe Cluster ===");
try {
DescribeClusterResult clusterResult = adminClient.describeCluster();
String clusterId = clusterResult.clusterId().get(10, TimeUnit.SECONDS);
int nodeCount = clusterResult.nodes().get(10, TimeUnit.SECONDS).size();
System.out.println("Cluster ID: " + clusterId);
System.out.println("Nodes: " + nodeCount);
} catch (Exception e) {
System.err.println("Describe Cluster failed: " + e.getMessage());
e.printStackTrace();
}
// Test 2: List Topics
System.out.println("\n=== Test 2: List Topics ===");
try {
ListTopicsResult topicsResult = adminClient.listTopics();
int topicCount = topicsResult.names().get(10, TimeUnit.SECONDS).size();
System.out.println("Topics: " + topicCount);
} catch (Exception e) {
System.err.println("List Topics failed: " + e.getMessage());
e.printStackTrace();
}
System.out.println("\nAll tests completed!");
} catch (Exception e) {
System.err.println("AdminClient creation failed: " + e.getMessage());
e.printStackTrace();
System.exit(1);
}
}
}

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import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;
import java.time.Duration;
import java.util.Collections;
import java.util.Properties;
public class JavaKafkaConsumer {
public static void main(String[] args) {
if (args.length < 2) {
System.err.println("Usage: java JavaKafkaConsumer <broker> <topic>");
System.exit(1);
}
String broker = args[0];
String topic = args[1];
System.out.println("Connecting to Kafka broker: " + broker);
System.out.println("Topic: " + topic);
Properties props = new Properties();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, broker);
props.put(ConsumerConfig.GROUP_ID_CONFIG, "java-test-group");
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "true");
props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, "10");
props.put(ConsumerConfig.FETCH_MIN_BYTES_CONFIG, "1");
props.put(ConsumerConfig.FETCH_MAX_WAIT_MS_CONFIG, "1000");
KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
consumer.subscribe(Collections.singletonList(topic));
System.out.println("Starting to consume messages...");
int messageCount = 0;
int errorCount = 0;
long startTime = System.currentTimeMillis();
try {
while (true) {
try {
ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(1000));
for (ConsumerRecord<String, String> record : records) {
messageCount++;
System.out.printf("Message #%d: topic=%s partition=%d offset=%d key=%s value=%s%n",
messageCount, record.topic(), record.partition(), record.offset(),
record.key(), record.value());
}
// Stop after 100 messages or 60 seconds
if (messageCount >= 100 || (System.currentTimeMillis() - startTime) > 60000) {
long duration = System.currentTimeMillis() - startTime;
System.out.printf("%nSuccessfully consumed %d messages in %dms%n", messageCount, duration);
System.out.printf("Success rate: %.1f%% (%d/%d including errors)%n",
(double) messageCount / (messageCount + errorCount) * 100, messageCount,
messageCount + errorCount);
break;
}
} catch (Exception e) {
errorCount++;
System.err.printf("Error during poll #%d: %s%n", errorCount, e.getMessage());
e.printStackTrace();
// Stop after 10 consecutive errors or 60 seconds
if (errorCount > 10 || (System.currentTimeMillis() - startTime) > 60000) {
long duration = System.currentTimeMillis() - startTime;
System.err.printf("%nStopping after %d errors in %dms%n", errorCount, duration);
break;
}
}
}
} finally {
consumer.close();
}
}
}

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import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.apache.kafka.common.serialization.StringSerializer;
import java.util.Properties;
import java.util.concurrent.Future;
public class JavaProducerTest {
public static void main(String[] args) {
String bootstrapServers = args.length > 0 ? args[0] : "localhost:9093";
String topicName = args.length > 1 ? args[1] : "test-topic";
System.out.println("Testing Kafka Producer with broker: " + bootstrapServers);
System.out.println(" Topic: " + topicName);
Properties props = new Properties();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
props.put(ProducerConfig.CLIENT_ID_CONFIG, "java-producer-test");
props.put(ProducerConfig.ACKS_CONFIG, "1");
props.put(ProducerConfig.RETRIES_CONFIG, 0);
props.put(ProducerConfig.MAX_BLOCK_MS_CONFIG, 10000);
System.out.println("Creating Producer with config:");
props.forEach((k, v) -> System.out.println(" " + k + " = " + v));
try (KafkaProducer<String, String> producer = new KafkaProducer<>(props)) {
System.out.println("Producer created successfully");
// Try to send a test message
System.out.println("\n=== Test: Send Message ===");
try {
ProducerRecord<String, String> record = new ProducerRecord<>(topicName, "key1", "value1");
System.out.println("Sending record to topic: " + topicName);
Future<RecordMetadata> future = producer.send(record);
RecordMetadata metadata = future.get(); // This will block and wait for response
System.out.println("Message sent successfully!");
System.out.println(" Topic: " + metadata.topic());
System.out.println(" Partition: " + metadata.partition());
System.out.println(" Offset: " + metadata.offset());
} catch (Exception e) {
System.err.println("Send failed: " + e.getMessage());
e.printStackTrace();
// Print cause chain
Throwable cause = e.getCause();
int depth = 1;
while (cause != null && depth < 5) {
System.err.println(
" Cause " + depth + ": " + cause.getClass().getName() + ": " + cause.getMessage());
cause = cause.getCause();
depth++;
}
}
System.out.println("\nTest completed!");
} catch (Exception e) {
System.err.println("Producer creation or operation failed: " + e.getMessage());
e.printStackTrace();
System.exit(1);
}
}
}

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package tools;
import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient;
import io.confluent.kafka.schemaregistry.client.SchemaRegistryClient;
import org.apache.avro.Schema;
import org.apache.avro.SchemaBuilder;
public class SchemaRegistryTest {
private static final String SCHEMA_REGISTRY_URL = "http://localhost:8081";
public static void main(String[] args) {
System.out.println("================================================================================");
System.out.println("Schema Registry Test - Verifying In-Memory Read Optimization");
System.out.println("================================================================================\n");
SchemaRegistryClient schemaRegistry = new CachedSchemaRegistryClient(SCHEMA_REGISTRY_URL, 100);
boolean allTestsPassed = true;
try {
// Test 1: Register first schema
System.out.println("Test 1: Registering first schema (user-value)...");
Schema userValueSchema = SchemaBuilder
.record("User").fields()
.requiredString("name")
.requiredInt("age")
.endRecord();
long startTime = System.currentTimeMillis();
int schema1Id = schemaRegistry.register("user-value", userValueSchema);
long elapsedTime = System.currentTimeMillis() - startTime;
System.out.println("✓ SUCCESS: Schema registered with ID: " + schema1Id + " (took " + elapsedTime + "ms)");
// Test 2: Register second schema immediately (tests read-after-write)
System.out.println("\nTest 2: Registering second schema immediately (user-key)...");
Schema userKeySchema = SchemaBuilder
.record("UserKey").fields()
.requiredString("userId")
.endRecord();
startTime = System.currentTimeMillis();
int schema2Id = schemaRegistry.register("user-key", userKeySchema);
elapsedTime = System.currentTimeMillis() - startTime;
System.out.println("✓ SUCCESS: Schema registered with ID: " + schema2Id + " (took " + elapsedTime + "ms)");
// Test 3: Rapid fire registrations (tests concurrent writes)
System.out.println("\nTest 3: Rapid fire registrations (10 schemas in parallel)...");
startTime = System.currentTimeMillis();
Thread[] threads = new Thread[10];
final boolean[] results = new boolean[10];
for (int i = 0; i < 10; i++) {
final int index = i;
threads[i] = new Thread(() -> {
try {
Schema schema = SchemaBuilder
.record("Test" + index).fields()
.requiredString("field" + index)
.endRecord();
schemaRegistry.register("test-" + index + "-value", schema);
results[index] = true;
} catch (Exception e) {
System.err.println("✗ ERROR in thread " + index + ": " + e.getMessage());
results[index] = false;
}
});
threads[i].start();
}
for (Thread thread : threads) {
thread.join();
}
elapsedTime = System.currentTimeMillis() - startTime;
int successCount = 0;
for (boolean result : results) {
if (result) successCount++;
}
if (successCount == 10) {
System.out.println("✓ SUCCESS: All 10 schemas registered (took " + elapsedTime + "ms total, ~" + (elapsedTime / 10) + "ms per schema)");
} else {
System.out.println("✗ PARTIAL FAILURE: Only " + successCount + "/10 schemas registered");
allTestsPassed = false;
}
// Test 4: Verify we can retrieve all schemas
System.out.println("\nTest 4: Verifying all schemas are retrievable...");
startTime = System.currentTimeMillis();
Schema retrieved1 = schemaRegistry.getById(schema1Id);
Schema retrieved2 = schemaRegistry.getById(schema2Id);
elapsedTime = System.currentTimeMillis() - startTime;
if (retrieved1.equals(userValueSchema) && retrieved2.equals(userKeySchema)) {
System.out.println("✓ SUCCESS: All schemas retrieved correctly (took " + elapsedTime + "ms)");
} else {
System.out.println("✗ FAILURE: Schema mismatch");
allTestsPassed = false;
}
// Summary
System.out.println("\n===============================================================================");
if (allTestsPassed) {
System.out.println("✓ ALL TESTS PASSED!");
System.out.println("===============================================================================");
System.out.println("\nOptimization verified:");
System.out.println("- ForceFlush is NO LONGER NEEDED");
System.out.println("- Subscribers read from in-memory buffer using IsOffsetInMemory()");
System.out.println("- Per-subscriber notification channels provide instant wake-up");
System.out.println("- True concurrent writes without serialization");
System.exit(0);
} else {
System.out.println("✗ SOME TESTS FAILED");
System.out.println("===============================================================================");
System.exit(1);
}
} catch (Exception e) {
System.err.println("\n✗ FATAL ERROR: " + e.getMessage());
e.printStackTrace();
System.exit(1);
}
}
}

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@@ -0,0 +1,78 @@
import java.net.*;
import java.nio.*;
import java.nio.channels.*;
public class TestSocketReadiness {
public static void main(String[] args) throws Exception {
String host = args.length > 0 ? args[0] : "localhost";
int port = args.length > 1 ? Integer.parseInt(args[1]) : 9093;
System.out.println("Testing socket readiness with " + host + ":" + port);
// Test 1: Simple blocking connect
System.out.println("\n=== Test 1: Blocking Socket ===");
try (Socket socket = new Socket()) {
socket.connect(new InetSocketAddress(host, port), 5000);
System.out.println("Blocking socket connected");
System.out.println(" Available bytes: " + socket.getInputStream().available());
Thread.sleep(100);
System.out.println(" Available bytes after 100ms: " + socket.getInputStream().available());
} catch (Exception e) {
System.err.println("Blocking socket failed: " + e.getMessage());
}
// Test 2: Non-blocking NIO socket (like Kafka client uses)
System.out.println("\n=== Test 2: Non-blocking NIO Socket ===");
Selector selector = Selector.open();
SocketChannel channel = SocketChannel.open();
channel.configureBlocking(false);
try {
boolean connected = channel.connect(new InetSocketAddress(host, port));
System.out.println(" connect() returned: " + connected);
SelectionKey key = channel.register(selector, SelectionKey.OP_CONNECT);
int ready = selector.select(5000);
System.out.println(" selector.select() returned: " + ready);
if (ready > 0) {
for (SelectionKey k : selector.selectedKeys()) {
if (k.isConnectable()) {
System.out.println(" isConnectable: true");
boolean finished = channel.finishConnect();
System.out.println(" finishConnect() returned: " + finished);
if (finished) {
k.interestOps(SelectionKey.OP_READ);
// Now check if immediately readable (THIS is what might be wrong)
selector.selectedKeys().clear();
int readReady = selector.selectNow();
System.out.println(" Immediately after connect, selectNow() = " + readReady);
if (readReady > 0) {
System.out.println(" Socket is IMMEDIATELY readable (unexpected!)");
ByteBuffer buf = ByteBuffer.allocate(1);
int bytesRead = channel.read(buf);
System.out.println(" read() returned: " + bytesRead);
} else {
System.out.println(" Socket is NOT immediately readable (correct)");
}
}
}
}
}
System.out.println("NIO socket test completed");
} catch (Exception e) {
System.err.println("NIO socket failed: " + e.getMessage());
e.printStackTrace();
} finally {
channel.close();
selector.close();
}
System.out.println("\nAll tests completed");
}
}

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@@ -0,0 +1,10 @@
module simple-test
go 1.24.7
require github.com/segmentio/kafka-go v0.4.49
require (
github.com/klauspost/compress v1.15.9 // indirect
github.com/pierrec/lz4/v4 v4.1.15 // indirect
)

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@@ -0,0 +1,24 @@
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/klauspost/compress v1.15.9 h1:wKRjX6JRtDdrE9qwa4b/Cip7ACOshUI4smpCQanqjSY=
github.com/klauspost/compress v1.15.9/go.mod h1:PhcZ0MbTNciWF3rruxRgKxI5NkcHHrHUDtV4Yw2GlzU=
github.com/pierrec/lz4/v4 v4.1.15 h1:MO0/ucJhngq7299dKLwIMtgTfbkoSPF6AoMYDd8Q4q0=
github.com/pierrec/lz4/v4 v4.1.15/go.mod h1:gZWDp/Ze/IJXGXf23ltt2EXimqmTUXEy0GFuRQyBid4=
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
github.com/segmentio/kafka-go v0.4.49 h1:GJiNX1d/g+kG6ljyJEoi9++PUMdXGAxb7JGPiDCuNmk=
github.com/segmentio/kafka-go v0.4.49/go.mod h1:Y1gn60kzLEEaW28YshXyk2+VCUKbJ3Qr6DrnT3i4+9E=
github.com/stretchr/testify v1.8.0 h1:pSgiaMZlXftHpm5L7V1+rVB+AZJydKsMxsQBIJw4PKk=
github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
github.com/xdg-go/pbkdf2 v1.0.0 h1:Su7DPu48wXMwC3bs7MCNG+z4FhcyEuz5dlvchbq0B0c=
github.com/xdg-go/pbkdf2 v1.0.0/go.mod h1:jrpuAogTd400dnrH08LKmI/xc1MbPOebTwRqcT5RDeI=
github.com/xdg-go/scram v1.1.2 h1:FHX5I5B4i4hKRVRBCFRxq1iQRej7WO3hhBuJf+UUySY=
github.com/xdg-go/scram v1.1.2/go.mod h1:RT/sEzTbU5y00aCK8UOx6R7YryM0iF1N2MOmC3kKLN4=
github.com/xdg-go/stringprep v1.0.4 h1:XLI/Ng3O1Atzq0oBs3TWm+5ZVgkq2aqdlvP9JtoZ6c8=
github.com/xdg-go/stringprep v1.0.4/go.mod h1:mPGuuIYwz7CmR2bT9j4GbQqutWS1zV24gijq1dTyGkM=
golang.org/x/net v0.38.0 h1:vRMAPTMaeGqVhG5QyLJHqNDwecKTomGeqbnfZyKlBI8=
golang.org/x/net v0.38.0/go.mod h1:ivrbrMbzFq5J41QOQh0siUuly180yBYtLp+CKbEaFx8=
golang.org/x/text v0.23.0 h1:D71I7dUrlY+VX0gQShAThNGHFxZ13dGLBHQLVl1mJlY=
golang.org/x/text v0.23.0/go.mod h1:/BLNzu4aZCJ1+kcD0DNRotWKage4q2rGVAg4o22unh4=
gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=

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@@ -0,0 +1,69 @@
package main
import (
"context"
"log"
"os"
"time"
"github.com/segmentio/kafka-go"
)
func main() {
if len(os.Args) < 3 {
log.Fatal("Usage: kafka-go-consumer <broker> <topic>")
}
broker := os.Args[1]
topic := os.Args[2]
log.Printf("Connecting to Kafka broker: %s", broker)
log.Printf("Topic: %s", topic)
// Create a new reader
r := kafka.NewReader(kafka.ReaderConfig{
Brokers: []string{broker},
Topic: topic,
GroupID: "kafka-go-test-group",
MinBytes: 1,
MaxBytes: 10e6, // 10MB
MaxWait: 1 * time.Second,
})
defer r.Close()
log.Printf("Starting to consume messages...")
ctx := context.Background()
messageCount := 0
errorCount := 0
startTime := time.Now()
for {
m, err := r.ReadMessage(ctx)
if err != nil {
errorCount++
log.Printf("Error reading message #%d: %v", messageCount+1, err)
// Stop after 10 consecutive errors or 60 seconds
if errorCount > 10 || time.Since(startTime) > 60*time.Second {
log.Printf("\nStopping after %d errors in %v", errorCount, time.Since(startTime))
break
}
continue
}
// Reset error count on successful read
errorCount = 0
messageCount++
log.Printf("Message #%d: topic=%s partition=%d offset=%d key=%s value=%s",
messageCount, m.Topic, m.Partition, m.Offset, string(m.Key), string(m.Value))
// Stop after 100 messages or 60 seconds
if messageCount >= 100 || time.Since(startTime) > 60*time.Second {
log.Printf("\nSuccessfully consumed %d messages in %v", messageCount, time.Since(startTime))
log.Printf("Success rate: %.1f%% (%d/%d including errors)",
float64(messageCount)/float64(messageCount+errorCount)*100, messageCount, messageCount+errorCount)
break
}
}
}

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@@ -0,0 +1,12 @@
log4j.rootLogger=DEBUG, stdout
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%d{ISO8601} %-5p [%t] %c: %m%n
# More verbose for Kafka client
log4j.logger.org.apache.kafka=DEBUG
log4j.logger.org.apache.kafka.clients=TRACE
log4j.logger.org.apache.kafka.clients.NetworkClient=TRACE

View File

@@ -0,0 +1,72 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.seaweedfs.test</groupId>
<artifactId>kafka-consumer-test</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<maven.compiler.source>11</maven.compiler.source>
<maven.compiler.target>11</maven.compiler.target>
<kafka.version>3.9.2</kafka.version>
<confluent.version>7.6.0</confluent.version>
</properties>
<repositories>
<repository>
<id>confluent</id>
<url>https://packages.confluent.io/maven/</url>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>${kafka.version}</version>
</dependency>
<dependency>
<groupId>io.confluent</groupId>
<artifactId>kafka-schema-registry-client</artifactId>
<version>${confluent.version}</version>
</dependency>
<dependency>
<groupId>io.confluent</groupId>
<artifactId>kafka-avro-serializer</artifactId>
<version>${confluent.version}</version>
</dependency>
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
<version>1.11.5</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-simple</artifactId>
<version>2.0.9</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.11.0</version>
</plugin>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>exec-maven-plugin</artifactId>
<version>3.1.0</version>
<configuration>
<mainClass>tools.SchemaRegistryTest</mainClass>
</configuration>
</plugin>
</plugins>
</build>
</project>

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#!/bin/bash
# Verify schema format distribution across topics
set -e
SCHEMA_REGISTRY_URL="${SCHEMA_REGISTRY_URL:-http://localhost:8081}"
TOPIC_PREFIX="${TOPIC_PREFIX:-loadtest-topic}"
TOPIC_COUNT="${TOPIC_COUNT:-5}"
echo "================================"
echo "Schema Format Verification"
echo "================================"
echo ""
echo "Schema Registry: $SCHEMA_REGISTRY_URL"
echo "Topic Prefix: $TOPIC_PREFIX"
echo "Topic Count: $TOPIC_COUNT"
echo ""
echo "Registered Schemas:"
echo "-------------------"
for i in $(seq 0 $((TOPIC_COUNT-1))); do
topic="${TOPIC_PREFIX}-${i}"
subject="${topic}-value"
echo -n "Topic $i ($topic): "
# Try to get schema
response=$(curl -s "${SCHEMA_REGISTRY_URL}/subjects/${subject}/versions/latest" 2>/dev/null || echo '{"error":"not found"}')
if echo "$response" | grep -q "error"; then
echo "❌ NOT REGISTERED"
else
schema_type=$(echo "$response" | grep -o '"schemaType":"[^"]*"' | cut -d'"' -f4)
schema_id=$(echo "$response" | grep -o '"id":[0-9]*' | cut -d':' -f2)
if [ -z "$schema_type" ]; then
schema_type="AVRO" # Default if not specified
fi
# Expected format based on index
if [ $((i % 2)) -eq 0 ]; then
expected="AVRO"
else
expected="JSON"
fi
if [ "$schema_type" = "$expected" ]; then
echo "✅ $schema_type (ID: $schema_id) - matches expected"
else
echo "⚠️ $schema_type (ID: $schema_id) - expected $expected"
fi
fi
done
echo ""
echo "Expected Distribution:"
echo "----------------------"
echo "Even indices (0, 2, 4, ...): AVRO"
echo "Odd indices (1, 3, 5, ...): JSON"
echo ""