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2 Commits (feature/mq-kafka-gateway-m1)
| Author | SHA1 | Message | Date |
|---|---|---|---|
chrislu
|
6e1b96fb4a |
Phase 6: Complete testing, validation, and documentation
FINAL PHASE - SMQ Native Offset Implementation Complete ✅ - Create comprehensive end-to-end integration tests covering complete offset flow: - TestEndToEndOffsetFlow: Full publish/subscribe workflow with offset tracking - TestOffsetPersistenceAcrossRestarts: Validation of offset persistence behavior - TestConcurrentOffsetOperations: Multi-threaded offset assignment validation - TestOffsetValidationAndErrorHandling: Comprehensive error condition testing - All integration tests pass, validating complete system functionality - Add extensive performance benchmarks for all major operations: - BenchmarkOffsetAssignment: Sequential and parallel offset assignment - BenchmarkBatchOffsetAssignment: Batch operations with various sizes - BenchmarkSQLOffsetStorage: Complete SQL storage operation benchmarks - BenchmarkInMemoryVsSQL: Performance comparison between storage backends - BenchmarkOffsetSubscription: Subscription lifecycle and operations - BenchmarkSMQOffsetIntegration: Full integration layer performance - BenchmarkConcurrentOperations: Multi-threaded performance characteristics - Benchmarks demonstrate production-ready performance and scalability - Validate offset consistency and system reliability: - Database migration system with automatic schema updates - Proper NULL handling in SQL operations and migration management - Comprehensive error handling and validation throughout all components - Thread-safe operations with proper locking and concurrency control - Create comprehensive implementation documentation: - SMQ_NATIVE_OFFSET_IMPLEMENTATION.md: Complete implementation guide - Architecture overview with detailed component descriptions - Usage examples for all major operations and integration patterns - Performance characteristics and optimization recommendations - Deployment considerations and configuration options - Troubleshooting guide with common issues and debugging tools - Future enhancement roadmap and extension points - Update development plan with completion status: - All 6 phases successfully completed with comprehensive testing - 60+ tests covering all components and integration scenarios - Production-ready SQL storage backend with migration system - Complete broker integration with offset-aware operations - Extensive performance validation and optimization - Future-proof architecture supporting extensibility ## Implementation Summary This completes the full implementation of native per-partition sequential offsets in SeaweedMQ, providing: ✅ Sequential offset assignment per partition with thread-safe operations ✅ Persistent SQL storage backend with automatic migrations ✅ Complete broker integration with offset-aware publishing/subscription ✅ Comprehensive subscription management with seeking and lag tracking ✅ Robust error handling and validation throughout the system ✅ Extensive test coverage (60+ tests) and performance benchmarks ✅ Production-ready architecture with monitoring and troubleshooting support ✅ Complete documentation with usage examples and deployment guides The implementation eliminates the need for external offset mapping while maintaining high performance, reliability, and compatibility with existing SeaweedMQ operations. All tests pass and benchmarks demonstrate production-ready scalability. |
1 week ago |
|
chrislu
|
6aba7e6620 |
Phase 5: Implement SQL storage backend for offset persistence
- Design comprehensive SQL schema for offset storage with future _index column support - Implement SQLOffsetStorage with full database operations: - Partition offset checkpoints with UPSERT functionality - Detailed offset mappings with range queries and statistics - Database migration system with version tracking - Performance optimizations with proper indexing - Add database migration manager with automatic schema updates - Create comprehensive test suite with 11 test cases covering: - Schema initialization and table creation - Checkpoint save/load operations with error handling - Offset mapping storage and retrieval with sorting - Range queries and highest offset detection - Partition statistics with NULL value handling - Cleanup operations for old data retention - Concurrent access safety and database vacuum - Extend BrokerOffsetManager with SQL storage integration: - NewBrokerOffsetManagerWithSQL for database-backed storage - Configurable storage backends (in-memory fallback, SQL preferred) - Database connection management and error handling - Add SQLite driver dependency and configure for optimal performance - Support for future database types (PostgreSQL, MySQL) with abstraction layer Key TODOs and Assumptions: - TODO: Add _index as computed column when database supports it - TODO: Implement database backup and restore functionality - TODO: Add configuration for database path and connection parameters - ASSUMPTION: Using SQLite for now, extensible to other databases - ASSUMPTION: WAL mode and performance pragmas for production use - ASSUMPTION: Migration system handles schema evolution gracefully All 11 SQL storage tests pass, providing robust persistent offset management. |
1 week ago |