Branch: feature/mq-kafka-gateway-m1

add-ec-vacuum

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Commit Graph

4 Commits (feature/mq-kafka-gateway-m1)

Author	SHA1	Message	Date
chrislu	8de1ce5497	Fix compilation errors in integration modules - Fix NewPersistentLedger calls (returns 1 value, not 2) - Fix GetStats calls (returns 3 values, not 4) - Remove error handling for NewPersistentLedger since it doesn't return errors - All Kafka integration modules now compile successfully	7 days ago
chrislu	b5eb16a1a1	Phase 4: Clean up old SMQIntegratedStorage and fix compilation - Remove old SMQIntegratedStorage implementation from persistence.go - Update all integration modules to use SMQOffsetStorage instead - Add delegation methods to PersistentLedger for backward compatibility - Fix method signatures and compilation errors - Maintain support for legacy offset operations through SeaweedMQStorage	7 days ago
chrislu	c7b483442d	Phase 1: Implement SMQ-compatible offset storage - Add SMQOffsetStorage that uses same filer locations and format as SMQ brokers - Store offsets in <topic-dir>/<partition-dir>/<consumerGroup>.offset files - Use 8-byte big-endian format matching SMQ broker implementation - Include comprehensive test coverage for core functionality - Maintain backward compatibility through legacy method support	7 days ago
chrislu	deb315a8a9	persist kafka offset Phase E2: Integrate Protobuf descriptor parser with decoder - Update NewProtobufDecoder to use ProtobufDescriptorParser - Add findFirstMessageName helper for automatic message detection - Fix ParseBinaryDescriptor to return schema even on resolution failure - Add comprehensive tests for protobuf decoder integration - Improve error handling and caching behavior This enables proper binary descriptor parsing in the protobuf decoder, completing the integration between descriptor parsing and decoding. Phase E3: Complete Protobuf message descriptor resolution - Implement full protobuf descriptor resolution using protoreflect API - Add buildFileDescriptor and findMessageInFileDescriptor methods - Support nested message resolution with findNestedMessageDescriptor - Add proper mutex protection for thread-safe cache access - Update all test data to use proper field cardinality labels - Update test expectations to handle successful descriptor resolution - Enable full protobuf decoder creation from binary descriptors Phase E (Protobuf Support) is now complete: ✅ E1: Binary descriptor parsing ✅ E2: Decoder integration ✅ E3: Full message descriptor resolution Protobuf messages can now be fully parsed and decoded Phase F: Implement Kafka record batch compression support - Add comprehensive compression module supporting gzip/snappy/lz4/zstd - Implement RecordBatchParser with full compression and CRC validation - Support compression codec extraction from record batch attributes - Add compression/decompression for all major Kafka codecs - Integrate compression support into Produce and Fetch handlers - Add extensive unit tests for all compression codecs - Support round-trip compression/decompression with proper error handling - Add performance benchmarks for compression operations Key features: ✅ Gzip compression (ratio: 0.02) ✅ Snappy compression (ratio: 0.06, fastest) ✅ LZ4 compression (ratio: 0.02) ✅ Zstd compression (ratio: 0.01, best compression) ✅ CRC32 validation for record batch integrity ✅ Proper Kafka record batch format v2 parsing ✅ Backward compatibility with uncompressed records Phase F (Compression Handling) is now complete. Phase G: Implement advanced schema compatibility checking and migration - Add comprehensive SchemaEvolutionChecker with full compatibility rules - Support BACKWARD, FORWARD, FULL, and NONE compatibility levels - Implement Avro schema compatibility checking with field analysis - Add JSON Schema compatibility validation - Support Protobuf compatibility checking (simplified implementation) - Add type promotion rules (int->long, float->double, string<->bytes) - Integrate schema evolution into Manager with validation methods - Add schema evolution suggestions and migration guidance - Support schema compatibility validation before evolution - Add comprehensive unit tests for all compatibility scenarios Key features: ✅ BACKWARD compatibility: New schema can read old data ✅ FORWARD compatibility: Old schema can read new data ✅ FULL compatibility: Both backward and forward compatible ✅ Type promotion support for safe schema evolution ✅ Field addition/removal validation with default value checks ✅ Schema evolution suggestions for incompatible changes ✅ Integration with schema registry for validation workflows Phase G (Schema Evolution) is now complete. fmt	1 week ago