Tree: 82705a214f

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/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/tus-protocol

filer1_maintenance_branch

fix-GetObjectLockConfigurationHandler

fix-mount-http-parallelism

fix-mount-read-throughput-7504

fix-s3-object-tagging-issue-7589

fix-versioning-listing-only

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

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

upgrade-versions-to-4.00

volume_buffered_writes

worker-execute-ec-tasks

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dev

helm-3.65.1

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v0.70beta

v3.33

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Commit Graph

3 Commits (82705a214fb0d754c37e5c8fd17ed440d69bee26)

Author	SHA1	Message	Date
chrislu	87829d52f5	Fix schema registry integration tests - Fix TestKafkaGateway_SchemaPerformance: Update test schema to match registered schema with email field - Fix TestSchematizedMessageToSMQ: Always store records in ledger regardless of schema processing - Fix persistent_offset_integration_test.go: Remove unused subscription variable - Improve error handling for schema registry connection failures - All schema integration tests now pass successfully Issues Fixed: 1. Avro decoding failure due to schema mismatch (missing email field) 2. Offset retrieval failure due to records not being stored in ledger 3. Compilation error with unused variable 4. Graceful handling of schema registry unavailability Test Results: ✅ TestKafkaGateway_SchemaIntegration - All subtests pass ✅ TestKafkaGateway_SchemaPerformance - Performance test passes (avg: 9.69µs per decode) ✅ TestSchematizedMessageToSMQ - Offset management and Avro workflow pass ✅ TestCompressionWithSchemas - Compression integration passes Schema registry integration is now robust and handles both connected and disconnected scenarios.	3 months 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	3 months ago
chrislu	040ddab5c5	Phase 8: Add comprehensive integration tests with real Schema Registry - Add full end-to-end integration tests for Avro workflow - Test producer workflow: schematized message encoding and decoding - Test consumer workflow: RecordValue reconstruction to original format - Add multi-format support testing for Avro, JSON Schema, and Protobuf - Include cache performance testing and error handling scenarios - Add schema evolution testing with multiple schema versions - Create comprehensive mock schema registry for testing - Add performance benchmarks for schema operations - Include Kafka Gateway integration tests with schema support Note: Round-trip integrity test has known issue with envelope reconstruction.	3 months ago