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${ item.name }
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4 Commits (feature/mq-kafka-gateway-m1)
| Author | SHA1 | Message | Date |
|---|---|---|---|
chrislu
|
ea99682083 |
fix range
|
4 days ago |
|
chrislu
|
9c1f0e9f3f |
fix: centralize and standardize Kafka partition to SeaweedMQ ring mapping
- Created centralized PartitionMapper utility with consistent range size of 32 - Fixed inconsistent partition mapping between agent_client.go (78 range) and seaweedmq_handler.go (32 range) - Updated smq_mapping.go to use centralized utility instead of dynamic calculation - Standardized all partition mapping to use kafka.CreateSMQPartition() and related functions - Added comprehensive tests for partition mapping consistency and round-trip conversion - Achieves 99.05% ring utilization supporting 78 Kafka partitions This fixes the high-priority issue where inconsistent partition mapping could cause incorrect message routing between different components of the Kafka Gateway. |
4 days ago |
|
chrislu
|
5c17bba00b |
ring size MaxPartitionCount
|
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 |