# Implementation Plan for Go Storage Engine ## Architecture Overview ``` ┌─────────────┐ ┌─────────────┐ ┌─────────────────────────┐ │ Client API │────▶│ MemTable │────▶│ Immutable SSTable Files │ └─────────────┘ └─────────────┘ └─────────────────────────┘ │ ▲ ▲ │ │ │ ▼ │ │ ┌─────────────┐ │ ┌─────────────────────────┐ │ Write- │────────────┘ │ Background Compaction │ │ Ahead Log │ │ Process │ └─────────────┘ └─────────────────────────┘ │ │ │ │ ▼ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ Persistent Storage │ └─────────────────────────────────────────────────────────────────┘ ``` ## Package Structure ``` go-storage/ ├── cmd/ │ └── storage-bench/ # Benchmarking tool │ ├── pkg/ │ ├── config/ # Configuration and manifest │ ├── wal/ # Write-ahead logging with transaction markers │ ├── memtable/ # In-memory table implementation │ ├── sstable/ # SSTable read/write │ │ ├── block/ # Block format implementation │ │ └── footer/ # File footer and metadata │ ├── compaction/ # Compaction strategies │ ├── iterator/ # Merged iterator implementation │ ├── transaction/ # Transaction management with Snapshot + WAL │ │ ├── snapshot/ # Read snapshot implementation │ │ └── txbuffer/ # Transaction write buffer │ └── engine/ # Main engine implementation with single-writer architecture │ └── internal/ ├── checksum/ # Checksum utilities (xxHash64) └── utils/ # Shared internal utilities ``` ## Development Phases ### Phase A: Foundation (1-2 weeks) 1. Set up project structure and Go module 2. Implement config package with serialization/deserialization 3. Build basic WAL with: - Append operations (Put/Delete) - Replay functionality - Configurable fsync modes 4. Write comprehensive tests for WAL durability ### Phase B: In-Memory Layer (1 week) 1. Implement MemTable with: - Skip list data structure - Sorted key iteration - Size tracking for flush threshold 2. Connect WAL replay to MemTable restore 3. Test concurrent read/write scenarios ### Phase C: Persistent Storage (2 weeks) 1. Design and implement SSTable format: - Block-based layout with restart points - Checksummed blocks - Index and metadata in footer 2. Build SSTable writer: - Convert MemTable to blocks - Generate sparse index - Write footer with checksums 3. Implement SSTable reader: - Block loading and validation - Binary search through index - Iterator interface ### Phase D: Basic Engine Integration (1 week) 1. Implement Level 0 flush mechanism: - MemTable to SSTable conversion - File management and naming 2. Create read path that merges: - Current MemTable - Immutable MemTables awaiting flush - Level 0 SSTable files ### Phase E: Compaction (2 weeks) 1. Implement a single, efficient compaction strategy: - Simple tiered compaction approach 2. Handle tombstones and key deletion 3. Manage file obsolescence and cleanup 4. Build background compaction scheduling ### Phase F: Basic Atomicity and Advanced Features (2-3 weeks) 1. Implement merged iterator across all levels 2. Add snapshot capability for reads: - Point-in-time view of the database - Consistent reads across MemTable and SSTables 3. Implement simple atomic batch operations: - Support atomic multi-key writes - Ensure proper crash recovery for batch operations - Design interfaces that can be extended for full transactions 4. Add basic statistics and metrics ### Phase G: Optimization and Benchmarking (1 week) 1. Develop benchmark suite for: - Random vs sequential writes - Point reads vs range scans - Compaction overhead and pauses 2. Optimize critical paths based on profiling 3. Tune default configuration parameters ### Phase H: Optional Enhancements (as needed) 1. Add Bloom filters to reduce disk reads 2. Create monitoring hooks and detailed metrics 3. Add crash recovery testing ## Testing Strategy 1. **Unit Tests**: Each component thoroughly tested in isolation 2. **Integration Tests**: End-to-end tests for complete workflows 3. **Property Tests**: Generate randomized operations and verify correctness 4. **Crash Tests**: Simulate crashes and verify recovery 5. **Benchmarks**: Measure performance across different workloads ## Implementation Notes ### Error Handling - Use descriptive error types and wrap errors with context - Implement recovery mechanisms for all critical operations - Validate checksums at every read opportunity ### Concurrency - Implement single-writer architecture for the main write path - Allow concurrent readers (snapshots) to proceed without blocking - Use appropriate synchronization for reader-writer coordination - Ensure proper isolation between transactions ### Batch Operation Management - Use WAL for atomic batch operation durability - Leverage LSM's natural versioning for snapshots - Provide simple interfaces that can be built upon for transactions - Ensure proper crash recovery for batch operations ### Go Idioms - Follow standard Go project layout - Use interfaces for component boundaries - Rely on Go's GC but manage large memory allocations carefully - Use context for cancellation where appropriate