Tree: bfe15f970b

add-admin-and-worker-to-helm-charts

add-ec-vacuum

add-foundation-db

add_fasthttp_client

add_remote_storage

adding-message-queue-integration-tests

also-delete-parent-directory-if-empty

avoid_releasing_temp_file_on_write

changing-to-zap

collect-public-metrics

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

enhance-erasure-coding

fasthttp

filer1_maintenance_branch

fix-GetObjectLockConfigurationHandler

fix-versioning-listing-only

ftp

gh-pages

improve-fuse-mount

improve-fuse-mount2

logrus

master

message_send

mount2

mq-subscribe

mq2

original_weed_mount

pr-7412

random_access_file

refactor-needle-read-operations

refactor-volume-write

remote_overlay

revert-5134-patch-1

revert-5819-patch-1

revert-6434-bugfix-missing-s3-audit

s3-select

sub

tcp_read

test-reverting-lock-table

test_udp

testing

testing-sdx-generation

tikv

track-mount-e2e

volume_buffered_writes

worker-execute-ec-tasks

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dev

helm-3.65.1

v0.69

v0.70beta

v3.33

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Commit Graph

10 Commits (bfe15f970b1a112cc9f2b85b27d698d6ed88ed8e)

Author	SHA1	Message	Date
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	2 months ago
chrislu	71b2615f4a	fmt	2 months ago
chrislu	9cfbc0d4a1	Phase 7: Implement Fetch path schema reconstruction framework - Add schema reconstruction functions to convert SMQ RecordValue back to Kafka format - Implement Confluent envelope reconstruction with proper schema metadata - Add Kafka record batch creation for schematized messages - Include topic-based schema detection and metadata retrieval - Add comprehensive round-trip testing for Avro schema reconstruction - Fix envelope parsing to avoid Protobuf interference with Avro messages - Prepare foundation for full SeaweedMQ integration in Phase 8 This enables the Kafka Gateway to reconstruct original message formats on Fetch.	2 months ago
chrislu	26eae1583f	Phase 1: Enhanced Kafka Gateway Schema Integration - Enhanced AgentClient with comprehensive Kafka record schema - Added kafka_key, kafka_value, kafka_timestamp, kafka_headers fields - Added kafka_offset and kafka_partition for full Kafka compatibility - Implemented createKafkaRecordSchema() for structured message storage - Enhanced SeaweedMQHandler with schema-aware topic management - Added CreateTopicWithSchema() method for proper schema registration - Integrated getDefaultKafkaSchema() for consistent schema across topics - Enhanced KafkaTopicInfo to store schema metadata - Enhanced Produce API with SeaweedMQ integration - Updated produceToSeaweedMQ() to use enhanced schema - Added comprehensive debug logging for SeaweedMQ operations - Maintained backward compatibility with in-memory mode - Added comprehensive integration tests - TestSeaweedMQIntegration for end-to-end SeaweedMQ backend testing - TestSchemaCompatibility for various message format validation - Tests verify enhanced schema works with different key-value types This implements the mq.agent architecture pattern for Kafka Gateway, providing structured message storage in SeaweedFS with full schema support.	2 months ago
chrislu	440fd4b65e	feat: major Kafka Gateway milestone - near-complete E2E functionality ✅ COMPLETED: - Cross-client Produce compatibility (kafka-go + Sarama) - Fetch API version validation (v0-v11) - ListOffsets v2 parsing (replica_id, isolation_level) - Fetch v5 response structure (18→78 bytes, ~95% Sarama compatible) 🔧 CURRENT STATUS: - Produce: ✅ Working perfectly with both clients - Metadata: ✅ Working with multiple versions (v0-v7) - ListOffsets: ✅ Working with v2 format - Fetch: 🟡 Nearly compatible, minor format tweaks needed Next: Fine-tune Fetch v5 response for perfect Sarama compatibility	2 months ago
chrislu	f6da3b2920	fix: Fetch API version validation and ListOffsets v2 parsing - Updated Fetch API to support v0-v11 (was v0-v1) - Fixed ListOffsets v2 request parsing (added replica_id and isolation_level fields) - Added proper debug logging for Fetch and ListOffsets handlers - Improved record batch construction with proper varint encoding - Cross-client Produce compatibility confirmed (kafka-go and Sarama) Next: Fix Fetch v5 response format for Sarama consumer compatibility	2 months ago
chrislu	2a7d1ccacf	fmt	2 months ago
chrislu	23f4f5e096	fix: correct Produce v7 request parsing for Sarama compatibility ✅ MAJOR FIX: Produce v7 Request Parsing - Fixed client_id, transactional_id, acks, timeout parsing - Now correctly parses Sarama requests: * client_id: sarama ✅ * transactional_id: null ✅ * acks: -1, timeout: 10000 ✅ * topics count: 1 ✅ * topic: sarama-e2e-topic ✅ 🔧 NEXT: Fix Produce v7 response format - Sarama getting 'invalid length' error on response - Response parsing issue, not request parsing	2 months ago
chrislu	5595dfd476	mq(kafka): Add comprehensive protocol compatibility review and TODOs - Create PROTOCOL_COMPATIBILITY_REVIEW.md documenting all compatibility issues - Add critical TODOs to most problematic protocol implementations: * Produce: Record batch parsing is simplified, missing compression/CRC * Offset management: Hardcoded 'test-topic' parsing breaks real clients * JoinGroup: Consumer subscription extraction hardcoded, incomplete parsing * Fetch: Fake record batch construction with dummy data * Handler: Missing API version validation across all endpoints - Identify high/medium/low priority fixes needed for real client compatibility - Document specific areas needing work: * Record format parsing (v0/v1/v2, compression, CRC validation) * Request parsing (topics arrays, partition arrays, protocol metadata) * Consumer group protocol metadata parsing * Connection metadata extraction * Error code accuracy - Add testing recommendations for kafka-go, Sarama, Java clients - Provide roadmap for Phase 4 protocol compliance improvements This review is essential before attempting integration with real Kafka clients as current simplified implementations will fail with actual client libraries.	2 months ago
chrislu	59f1c3dda5	mq(kafka): implement Fetch handler with record batch construction, high watermark tracking, and comprehensive test coverage for consumer functionality	2 months ago