Tree:
76a5cfbf1f
add-ec-vacuum
add_fasthttp_client
add_remote_storage
adding-message-queue-integration-tests
adjust-fsck-cutoff-default
also-delete-parent-directory-if-empty
avoid_releasing_temp_file_on_write
changing-to-zap
collect-public-metrics
copilot/fix-helm-chart-installation
copilot/fix-s3-object-tagging-issue
copilot/make-renew-interval-configurable
copilot/make-renew-interval-configurable-again
copilot/sub-pr-7677
create-table-snapshot-api-design
data_query_pushdown
dependabot/maven/other/java/client/com.google.protobuf-protobuf-java-3.25.5
dependabot/maven/other/java/examples/org.apache.hadoop-hadoop-common-3.4.0
detect-and-plan-ec-tasks
do-not-retry-if-error-is-NotFound
ec-disk-type-support
enhance-erasure-coding
fasthttp
feature/mini-port-detection
filer1_maintenance_branch
fix-GetObjectLockConfigurationHandler
fix-mount-http-parallelism
fix-mount-read-throughput-7504
fix-s3-object-tagging-issue-7589
fix-versioning-listing-only
fix/worker-metrics-and-health-checks
ftp
gh-pages
improve-fuse-mount
improve-fuse-mount2
logrus
master
message_send
mount2
mq-subscribe
mq2
nfs-cookie-prefix-list-fixes
optimize-delete-lookups
original_weed_mount
pr-7412
raft-dual-write
random_access_file
refactor-needle-read-operations
refactor-volume-write
remote_overlay
remove-implicit-directory-handling
revert-5134-patch-1
revert-5819-patch-1
revert-6434-bugfix-missing-s3-audit
s3-remote-cache-singleflight
s3-select
sub
tcp_read
test-reverting-lock-table
test_udp
testing
testing-sdx-generation
tikv
track-mount-e2e
upgrade-versions-to-4.00
volume_buffered_writes
worker-execute-ec-tasks
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dev
helm-3.65.1
v0.69
v0.70beta
v3.33
${ noResults }
2 Commits (76a5cfbf1f0e0a6f69b6154c62efc48f7a413fef)
| Author | SHA1 | Message | Date |
|---|---|---|---|
chrislu
|
4e11a378fd |
fix tests
|
3 months ago |
|
chrislu
|
00a672d12e |
Add comprehensive Docker Compose setup for Kafka integration tests
MAJOR ENHANCEMENT: Complete Docker-based integration testing infrastructure ## New Docker Compose Infrastructure: - docker-compose.yml: Complete multi-service setup with health checks - Apache Kafka + Zookeeper - Confluent Schema Registry - SeaweedFS full stack (Master, Volume, Filer, MQ Broker, MQ Agent) - Kafka Gateway service - Test setup and utility services ## Docker Services: - Dockerfile.kafka-gateway: Custom Kafka Gateway container - Dockerfile.test-setup: Schema registration and test data setup - kafka-gateway-start.sh: Service startup script with dependency waiting - wait-for-services.sh: Comprehensive service readiness verification ## Test Setup Utility: - cmd/setup/main.go: Automated schema registration utility - Registers User, UserEvent, and LogEntry Avro schemas - Handles service discovery and health checking ## Integration Tests: - docker_integration_test.go: Comprehensive Docker-based integration tests - Kafka connectivity and topic operations - Schema Registry integration - Kafka Gateway functionality - Sarama and kafka-go client compatibility - Cross-client message compatibility - Performance benchmarking ## Build and Test Infrastructure: - Makefile: 30+ targets for development and testing - setup, test-unit, test-integration, test-e2e - Performance testing and benchmarking - Individual service management - Debugging and monitoring tools - CI/CD integration targets ## Documentation: - README.md: Comprehensive documentation - Architecture overview and service descriptions - Quick start guide and development workflow - Troubleshooting and performance tuning - CI/CD integration examples ## Key Features: ✅ Complete service orchestration with health checks ✅ Automated schema registration and test data setup ✅ Multi-client compatibility testing (Sarama, kafka-go) ✅ Performance benchmarking and monitoring ✅ Development-friendly debugging tools ✅ CI/CD ready with proper cleanup ✅ Comprehensive documentation and examples ## Usage: make setup-schemas # Start all services and register schemas make test-e2e # Run end-to-end integration tests make clean # Clean up environment This provides a production-ready testing infrastructure that ensures Kafka Gateway compatibility with real Kafka ecosystems and validates schema registry integration in realistic deployment scenarios. |
3 months ago |