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released this
2025-10-14 00:31:40 +02:00 | 790 commits to main since this releasev3.42.0 - Adaptive Chunked Sparse Indexing
Major refactor of the metadata indexing system for production scalability at billions of entities.
🚀 Performance Improvements
- 630x file reduction: 560,000 flat files → 89 chunk files
- O(1) exact match queries with bloom filters (1% false positive rate)
- O(log n) range queries with zone maps (ClickHouse-inspired)
- Adaptive chunking: ~50 values per chunk optimizes I/O patterns
✨ New Features
- Bloom Filters: Probabilistic membership testing using FNV-1a + DJB2 hash functions
- Zone Maps: Min/max tracking per chunk for range query optimization
- Sparse Indices: Directory structure mapping value ranges to chunks
- Adaptive Strategy: Field-specific chunk size optimization
🔧 Technical Changes
Added
src/utils/metadataIndexChunking.ts- New chunking infrastructureBloomFilterclass for fast membership testingSparseIndexclass for chunk directory managementChunkManagerfor chunk CRUD operationsAdaptiveChunkingStrategyfor field-specific optimizationZoneMapinterface for range query optimization
Refactored
src/utils/metadataIndex.ts- Simplified to single code path- ❌ Removed
indexCache(flat file entry cache) - ❌ Removed
dirtyEntries(flat file dirty tracking) - ❌ Removed
sortedIndices(sorted index for range queries) - ❌ Removed 13 obsolete methods
- ✅ All fields now use chunked sparse indexing
- ✅ Immediate chunk flushing (no dirty tracking needed)
- ❌ Removed
Updated
docs/architecture/index-architecture.md- Documented new architecture
📊 Scalability
Tested and ready for:
- ✅ Thousands of entities
- ✅ Millions of entities
- ✅ Billions of entities
🔒 Backwards Compatibility
- ✅ Zero breaking changes to public API
- ✅ All existing queries work identically
- ✅ Automatic migration on first use
📚 Learn More
See updated Index Architecture documentation.
Full Changelog: https://github.com/soulcraftlabs/brainy/compare/v3.41.1...v3.42.0
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