76f6fba5de
Standalone benchmark crate `crates/lance-bench` running Lance 4.0 against our Parquet+HNSW at 100K × 768d (resumes_100k_v2) measured 8 dimensions. Results (see docs/ADR-019-vector-storage.md for full scorecard): Cold load: Parquet 0.17s vs Lance 0.13s (tie — not ≥2× threshold) Disk size: 330.3 MB vs 330.4 MB (tie) Search p50: 873us vs 2229us (Parquet 2.55× faster) Search p95: 1413us vs 4998us (Parquet 3.54× faster) Index build: 230s (ec=80) vs 16s (IVF_PQ) (Lance 14× faster) Random access: 35ms (scan) vs 311us (Lance 112× faster) Append 10K rows: full rewrite vs 0.08s/+31MB (Lance structural win) Decision (ADR-019): hybrid, not migrate-or-reject. - Parquet+HNSW stays primary — our HNSW at ec=80 es=30 recall=1.00 is 2.55× faster than Lance IVF_PQ at 100K in-RAM scale - Lance joins as second backend per-profile for workloads where it wins architecturally: random row access (RAG text fetch), append-heavy pipelines (Phase C), hot-swap generations (Phase 16, 14× faster builds), and indexes past the ~5M RAM ceiling - Phase 17 ModelProfile gets vector_backend: Parquet | Lance field - Ceiling table in PRD updated — 5M ceiling now says "switch to Lance" instead of "migrate" since Lance runs alongside, not instead of Isolation: lance-bench is a standalone workspace crate with its own dep tree (Lance pulls DataFusion 52 + Arrow 57 incompatible with main stack DataFusion 47 + Arrow 55). Kept off the critical path until API is stable enough to promote into vectord::lance_store. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
50 lines
1.3 KiB
TOML
50 lines
1.3 KiB
TOML
[workspace]
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resolver = "2"
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members = [
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"crates/shared",
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"crates/proto",
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"crates/storaged",
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"crates/catalogd",
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"crates/queryd",
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"crates/aibridge",
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"crates/ingestd",
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"crates/vectord",
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"crates/journald",
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"crates/gateway",
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"crates/ui",
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"crates/lance-bench",
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]
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[workspace.dependencies]
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tokio = { version = "1", features = ["full"] }
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axum = "0.8"
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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tracing = "0.1"
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tracing-subscriber = { version = "0.3", features = ["env-filter", "json"] }
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thiserror = "2"
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uuid = { version = "1", features = ["v4", "serde"] }
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chrono = { version = "0.4", features = ["serde"] }
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tower-http = { version = "0.6", features = ["cors", "trace"] }
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object_store = { version = "0.12", features = ["aws"] }
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arrow = "55"
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parquet = { version = "55", features = ["arrow", "async"] }
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datafusion = "47"
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bytes = "1"
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futures = "0.3"
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sha2 = "0.10"
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url = "2"
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tonic = "0.13"
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prost = "0.13"
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tonic-build = "0.13"
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opentelemetry = "0.28"
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opentelemetry_sdk = { version = "0.28", features = ["rt-tokio"] }
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opentelemetry-stdout = { version = "0.28", features = ["trace"] }
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tracing-opentelemetry = "0.29"
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toml = "0.8"
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csv = "1"
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lopdf = "0.35"
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encoding_rs = "0.8"
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instant-distance = "0.6"
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tokio-postgres = { version = "0.7", features = ["with-serde_json-1", "with-chrono-0_4", "with-uuid-1"] }
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