dimgigov
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FTS Engine (src/barabadb/fts/engine.nim): - Fix bm25Score doing O(n) linear scan per document - Cache IDF per token instead of recomputing for each doc - Use entry.termFreq directly instead of searching postings again - Result: FTS search +438% (249 -> 1360 queries/s) HNSW Vector Engine (src/barabadb/vector/engine.nim): - Optimize distance functions with float32 + 4x loop unrolling - Rewrite searchLayer: swap+pop instead of O(n) del, track worst-nearest instead of sorting nearest on every iteration - Result: HNSW insert +117% (245 -> 543 ops/s), search 2.2x faster Benchmarks: - Add real PostgreSQL comparison script (benchmarks/pg_bench.py) - Add report generator (benchmarks/generate_report.py) - Fix compare.nim cpuTime() bug (was dividing by 1M incorrectly) - Add nimble tasks: bench_pg, bench_report Docs: - Update README.md and docs/en/performance.md with real measured numbers - Add benchmarks/REAL_COMPARISON.md Version bump: 1.1.7 -> 1.1.8
57 lines
775 B
Plaintext
57 lines
775 B
Plaintext
# Build
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build/
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nimcache/
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nimblecache/
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*.out
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# Binaries (compiled test executables)
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tests/test_all
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tests/stress_test
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tests/test_lock
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tests/test_minimal
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tests/tla_faithfulness
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tests/fuzz_test
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tests/prop_test
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benchmarks/bench_all
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benchmarks/compare
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clients/nim/tests/test_client
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src/baradadb
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src/barabadb/client/client
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src/barabadb/core/raft
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src/barabadb/core/backup
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# Temp
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*.tmp
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*.log
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# Data
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data/
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# OS
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.DS_Store
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Thumbs.db
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# External references
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GEL/
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# Python
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__pycache__/
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*.pyc
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# Rust
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clients/rust/target/
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# Nim compiled binaries
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clients/nim/src/baradb/client
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src/barabadb/storage/compaction
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src/barabadb/query/executor
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tests/join_tests
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*.tar.gz
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tests/nimforum_smoke_test
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benchmark_results.json
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pg_benchmark_results.json
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benchmarks/bench_all
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benchmarks/compare
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.qwen/
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