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LSM Storage Engine

QuantaDB's LSM (Log-Structured Merge Tree) storage engine provides high-performance, reliable data storage with automatic optimization.

Overview​

The LSM storage engine automatically:

  • Manages memory and disk storage
  • Handles data compaction
  • Optimizes read and write performance
  • Maintains data consistency
  • Provides atomic operations

Key Features​

1. MemTable​

  • In-memory storage using SplayTreeMap
  • O(log n) write performance
  • Automatic flushing to disk

2. SSTable​

  • On-disk storage with block alignment
  • Efficient range queries
  • Automatic merging and compaction

3. Bloom Filters​

  • Three-layer bloom filters (8-bit, 16-bit, 32-bit)
  • Fast key existence checks
  • Memory-efficient lookups

4. Background Compaction​

  • Isolate-based workers
  • Zero-copy memory buffers
  • Automatic space reclamation

Performance​

The LSM storage engine is optimized for:

  • High write throughput
  • Efficient range queries
  • Low memory footprint
  • Automatic optimization

Usage​

You don't need to interact with the LSM storage directly. QuantaDB handles all storage operations automatically when you use the high-level APIs.

Internal Architecture​

Note: The following sections explain the internal architecture. This is all handled automatically by QuantaDB.

Storage Layers​

  1. MemTable (Memory)
  2. SSTable (Disk)
  3. Bloom Filters (Cache)

Compaction Strategy​

  • Level-based compaction
  • Size-tiered compaction
  • Automatic level management

Performance Optimizations​

  • Block caching
  • Compression
  • Index optimization
  • Memory management

Error Handling​

The system automatically handles:

  • Disk space management
  • Data corruption
  • Recovery procedures
  • Consistency checks

Future Enhancements​

Planned improvements include:

  • Enhanced compression
  • Advanced caching
  • Improved compaction
  • Better memory management