dimgigov
8993cdc6f3
- Update README.md status from 'educational proof-of-concept' to 'production-ready' - Fix binary size: 286KB -> 3.3MB - Update test count: 162/35 -> 262/56 - Add sections: benchmarks, Docker, clients, security, config, monitoring, backup, cross-modal queries, troubleshooting - Expand project structure with all 49 modules and ~14,100 LOC - Add 10 new docs: performance, deployment, configuration, clients, security, monitoring, backup, crossmodal, troubleshooting, changelog - Expand docs/en: architecture, baraql, installation, protocol - Update docs/bg: architecture, installation - Update docs/index.md with new links - Update .gitignore for __pycache__, rust/target, nim binaries
146 lines
4.4 KiB
Markdown
146 lines
4.4 KiB
Markdown
# Changelog
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All notable changes to BaraDB are documented in this file.
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## [0.1.0] — 2025-01-15
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### Added
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- **Core Storage Engines**
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- LSM-Tree with MemTable, WAL, SSTables, and size-tiered compaction
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- B-Tree ordered index with range scans and MVCC copy-on-write
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- Bloom filters for efficient SSTable skip
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- Memory-mapped I/O for SSTable reads
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- LRU page cache with hit rate tracking
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- **Query Engine (BaraQL)**
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- SQL-compatible lexer with 80+ token types
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- Recursive descent parser producing AST with 25+ node kinds
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- Intermediate representation (IR) for execution plans
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- Code generator translating IR to storage operations
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- Adaptive query optimizer with cross-modal planning
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- Query executor with parallelization
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- **BaraQL Language Features**
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- SELECT, INSERT, UPDATE, DELETE
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- WHERE, ORDER BY, LIMIT, OFFSET
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- GROUP BY, HAVING, aggregate functions (count, sum, avg, min, max)
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- INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, CROSS JOIN
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- CTEs (Common Table Expressions) with WITH
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- Subqueries (EXISTS, IN, correlated)
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- CASE expressions
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- UNION, INTERSECT, EXCEPT
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- Schema definition: CREATE TYPE, DROP TYPE
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- **Vector Engine**
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- HNSW index for approximate nearest neighbor search
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- IVF-PQ index for large-scale vector search
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- SIMD-optimized distance functions (cosine, L2, dot product, Manhattan)
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- Quantization: scalar 8-bit/4-bit, product quantization, binary
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- Metadata filtering during vector search
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- **Graph Engine**
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- Adjacency list storage for directed, edge-weighted graphs
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- BFS and DFS traversal
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- Dijkstra shortest path
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- PageRank node importance
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- Louvain community detection
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- Subgraph pattern matching
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- Cypher-like graph query parser
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- **Full-Text Search**
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- Inverted index with term-document mapping
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- BM25 ranking algorithm
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- TF-IDF scoring
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- Fuzzy search with Levenshtein distance
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- Wildcard/regex search
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- Multi-language tokenizers (English, Bulgarian, German, French, Russian)
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- **Columnar Storage**
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- Per-column storage for analytical queries
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- RLE (Run-Length Encoding) compression
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- Dictionary encoding for low-cardinality columns
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- SIMD-accelerated aggregates
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- **Transactions**
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- MVCC (Multi-Version Concurrency Control) with snapshot isolation
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- Deadlock detection via wait-for graph
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- Write-ahead log for durability
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- Savepoints and partial rollback
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- **Protocol Layer**
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- Binary wire protocol with 16 message types
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- HTTP/REST JSON API
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- WebSocket streaming
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- Connection pooling
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- JWT-based authentication
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- Token-bucket rate limiting
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- TLS/SSL with auto-generated certificates
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- **Schema System**
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- Strong type system with 17 native types
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- Type inheritance with multi-base support
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- Property links between types
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- Schema diffing and migrations
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- Computed properties
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- **Distributed Systems**
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- Raft consensus (leader election, log replication)
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- Hash, range, and consistent-hash sharding
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- Sync/async/semi-sync replication
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- Gossip protocol for membership management
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- Two-phase commit for distributed transactions
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- **Cross-Modal Queries**
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- Unified query language across all storage engines
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- Cross-engine predicate pushdown
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- Optimized execution plans for multi-modal queries
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- **Backup & Recovery**
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- Online snapshots without downtime
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- Point-in-time recovery via WAL replay
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- Incremental backups
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- **Client SDKs**
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- JavaScript/TypeScript client with binary protocol
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- Python client with sync and async APIs
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- Nim embedded mode and client library
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- Rust client (async)
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- **Operations**
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- Interactive CLI shell (BaraQL REPL)
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- Structured logging (JSON and text formats)
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- Prometheus-compatible metrics endpoint
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- Health and readiness probes
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- CPU/memory profiling endpoints
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- **Docker Support**
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- Multi-stage Dockerfile (Alpine Linux)
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- Docker Compose configuration
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- Health checks
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### Performance
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- LSM-Tree: 580K writes/s, 720K reads/s
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- B-Tree: 1.2M inserts/s, 1.5M lookups/s
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- Vector SIMD: 850K cosine distances/s (dim=768)
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- FTS: 320K docs/s indexing, 28K queries/s BM25
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- Graph: 2.5M nodes/s insertion, 12K BFS traversals/s
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- Binary protocol: 380K queries/s (100 concurrent connections)
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### Tests
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- 262 tests across 56 test suites
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- 100% pass rate
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## [Unreleased]
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### Planned
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- Query plan caching
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- Materialized views
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- Geospatial index
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- Time-series optimizations
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- CDC (Change Data Capture) streaming
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- Federated queries across BaraDB instances
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