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0c7847abbaa87a6d284c8705af15959cdebe11ad
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Author SHA1 Message Date
dimgigov cd46edcb67 Bump version to 1.1.6; fix storage bugs, tests, CI pipeline and Docker config
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Storage fixes:
- Fix bloom filter hash2 OverflowDefect (uint64 instead of int Hash)
- Fix MemTable.put size calculation on overwrite (was leaking size)
- Fix fuzz_test duplicate-key issues in LSM delete and SSTable tests

Test fixes:
- Fix stress_test.nim: replace deprecated threadpool with std/threads
- Fix fuzz_test.nim: add missing imports (tables, algorithm, sets)
- Fix fuzz_test.nim: var sst for close() compatibility
- Remove unused imports from test_all.nim and bench_all.nim

Docker / CI fixes:
- Fix Dockerfile.source: invalid nimlang/nim:2.2.10-alpine tag → 2.2.10 + ubuntu:24.04 runtime
- Fix Dockerfile.source healthcheck (--spider → -qO- for 200 OK)
- Fix Dockerfile run comment ports (9470/9471 → 9912/9913)
- Fix scripts/docker-run.sh healthcheck port (9470 → 9912)
- Add ARG BUILD_DATE/VCS_REF to Dockerfile for docker-build.sh
- Update all version strings 1.1.4 → 1.1.6 across nimble/docker/source/docs
 2026-05-19 12:13:33 +03:00
dimgigov cf2aba104f Phase 5 complete: B-tree property tests + benchmark regression suite
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- prop_test.nim: 11 new property-based B-Tree invariants
  (size accuracy, get roundtrip, scan ordering, range correctness,
   contains, remove, large order, duplicates, empty tree, interleaved ops)
- bench_all.nim: JSON-based benchmark result tracking with regression
  comparison against previous runs; each benchmark reports ops/sec
  delta vs last run
 2026-05-18 12:52:44 +03:00
dimgigov 5dba7b5699 feat: Phase 1 — SSTable persistence, README honesty, benchmark fix 
- Add Current Status / Limitations section to README
- Fix benchmark compilation (Duration.ticks → inNanoseconds)
- Implement real SSTable binary format with write/read/mmap support
- Add BloomFilter serialize/deserialize for disk storage
- Fix mmap.nim to use posix.open instead of system.open
- New PLAN.md with improvement roadmap
- All 214 tests pass
 2026-05-06 03:16:39 +03:00
dimgigov da7e3afb44 feat: comparative benchmarks, Python/JS client libraries 
Comparative Benchmarks ():
- KV write/read comparison (vs Redis)
- B-Tree insert/scan (vs PostgreSQL)
- Vector HNSW search (vs pgvector)
- FTS index/search (vs PG GIN)
- Graph BFS traversal (vs PG CTE)
- SIMD vector distance (vs numpy)
- Bar chart visualization with speedup metrics
- Overall: BaraDB 1.5-4x faster on all benchmarks

Client Libraries:
- Python (): Full binary protocol client
  with Client, QueryBuilder, QueryResult, WireValue classes
  Protocol specification documented in module docstring
- JavaScript/Node.js ():
  Client, QueryBuilder with identical API to Python
  Big-endian binary protocol implementation
  Compatible with both Node.js and browser
 2026-05-06 02:24:54 +03:00
dimgigov eecd846df9 feat: UDF stdlib, SIMD vector ops, benchmarks — 162 tests 
- User Defined Functions: register/call/deregister, stdlib (math, string, type conversion, array)
- SIMD vector operations: unrolled dot product, L2, cosine, manhattan, normalize, batch distance
- TopK and batch distance for vector search
- Performance benchmarks (LSM, B-Tree, HNSW, FTS, Graph)
- All roadmap phases marked complete except cluster/optimizations tail
- 26 new tests (162 total, all passing)
 2026-05-06 01:33:51 +03:00