Overview

This PR implements the Kafka AFS (Abstract File System) adapter for NebulaStore, enabling Apache Kafka as a storage backend with event-driven capabilities, audit trails, and time-travel features.

Implementation Summary

📦 Components Implemented

1. KafkaBlob - Blob metadata with 28-byte serialization
2. KafkaConfiguration - Configuration management with production/development presets
3. KafkaPathValidator - Topic naming sanitization and validation
4. KafkaTopicIndex - Per-topic blob metadata management
5. KafkaConnector - Full IBlobStoreConnector implementation

🏗️ Architecture

File → Kafka Topic (data) + Index Topic (metadata)
  ├── Data Topic: File chunks as Kafka messages (1MB default)
  └── Index Topic: Blob metadata (partition, offset, range)

Key Features:

• ✅ Blob chunking with configurable size (default 1MB)
• ✅ Partial reads (read specific byte ranges)
• ✅ File truncation, move, copy operations
• ✅ Virtual directory support
• ✅ Topic naming sanitization for Kafka constraints
• ✅ Production-ready configuration presets

🧪 Testing

• 75 unit tests - All passing ✅
• 100% pass rate - No Kafka required for unit tests
• Test Coverage:
  • KafkaBlobTests (24 tests)
  • KafkaConfigurationTests (29 tests)
  • KafkaPathValidatorTests (22 tests)

📚 Documentation

• Comprehensive README with usage examples
• Configuration guide with production/development presets
• Example code demonstrating various use cases
• Troubleshooting guide
• Comparison with other AFS adapters

📊 Files Changed

• 13 files added (~2,939 lines)
• Core implementation: 5 source files
• Tests: 3 test files with 75 tests
• Documentation: README + examples

🔧 Dependencies

• Confluent.Kafka (2.6.1) - Apache Kafka .NET client
• MessagePack (inherited from NebulaStore.Storage)

✅ Build Status

✅ Build: SUCCESS (0 errors, 0 warnings)
✅ Tests: 75/75 PASSED (100% pass rate)

Feasibility Study

This implementation is based on a comprehensive feasibility study documented in:

• docs/KafkaAfsFeasibility.md - Technical feasibility analysis
• docs/KafkaAfsComparison.md - Comparison with other AFS adapters
• docs/KafkaAfsSummary.md - Executive summary
• docs/KafkaAfsQuickStart.md - Quick start guide

Verdict: FEASIBLE - Confluent.Kafka provides 100% API parity with Java kafka-clients.

Usage Example

using NebulaStore.Storage.Embedded;
using NebulaStore.Afs.Kafka;

// Configure Kafka
var kafkaConfig = KafkaConfiguration.Production(
    bootstrapServers: "kafka1:9092,kafka2:9092,kafka3:9092",
    clientId: "nebulastore-prod"
);

// Create connector
using var connector = KafkaConnector.New(kafkaConfig);

// Create file system
using var fileSystem = BlobStoreFileSystem.New(connector);

// Use with EmbeddedStorage
var storageConfig = EmbeddedStorageConfiguration.New()
    .SetStorageFileSystem(fileSystem)
    .Build();

using var storage = EmbeddedStorage.Start(storageConfig);

When to Use Kafka AFS

✅ Good Fit

• Event-driven architectures
• Audit trail requirements
• Time travel capabilities needed
• Multi-datacenter deployments
• Already using Kafka infrastructure
• Streaming analytics integration

❌ Poor Fit

• Simple local storage needs (use NIO)
• Cost-sensitive scenarios
• Small-scale applications
• No Kafka expertise

Roadmap

This PR completes Phase 1 (Core Implementation) of the 3-week MVP roadmap.

Future Enhancements (Phase 2 & 3):

• Async index loading
• Kafka transactions for atomic writes
• Index rebuild capability
• Integration tests with Docker Compose
• Performance benchmarks
• Production deployment guide

Testing Instructions

Unit Tests (No Kafka Required)

dotnet test afs/kafka/tests/NebulaStore.Afs.Kafka.Tests.csproj

Integration Tests (Requires Kafka)

Integration tests will be added in Phase 3. For now, you can test manually:

1. Start Kafka:

   docker-compose up -d kafka

2. Run examples:

   dotnet run --project afs/kafka/examples/

Breaking Changes

None - This is a new module with no impact on existing code.

Checklist

• Code compiles without errors or warnings
• All unit tests pass (75/75)
• Documentation added (README + examples)
• Follows existing code patterns (BlobStoreConnectorBase)
• Added to solution file
• Feasibility study completed
• Integration tests (deferred to Phase 3)
• Performance benchmarks (deferred to Phase 3)

Related Issues

Feasibility investigation for porting Eclipse Store AFS Kafka adapter to NebulaStore.

References

• Eclipse Store Kafka AFS
• Confluent.Kafka Documentation
• Apache Kafka Documentation

Ready for review! 🎉

This implementation provides a solid foundation for Kafka-backed storage in NebulaStore with comprehensive testing and documentation.

Pull Request opened by Augment Code with guidance from the PR author