root 175ad59cb3 proof harness Phase D: performance baseline · 1000-row ingest, p50/p95
GOLAKE-100. First run writes tests/proof/baseline.json; subsequent
runs diff against it. >10% regression emits a SKIP with REGRESSION
detail (not a fail — perf claim is required:false in claims.yaml so
the gate stays green; the human summary tells the regression story
honestly). Skip-with-loud-reason if any earlier case in the run
failed, per spec "performance only after contract+integration pass."

Workload (deterministic, repeatable):
  ingest      1000-row CSV (5 roles × 5 cities × seeded scores) → /v1/ingest
  query       SELECT count(*) ×20 against the just-ingested dataset
  vector add  200 dim=4 vectors with formulaic content (no Ollama)
  search      ×20 against the perf index with a fixed query vector
  RSS         per-service post-workload sample via /proc/<pid>/status

Recorded metrics:
  ingest_rows_per_sec, query_p50_ms, query_p95_ms,
  vectors_per_sec_add, search_p50_ms, search_p95_ms,
  rss_{storaged,catalogd,ingestd,queryd,vectord,embedd,gateway}_mb

baseline.json on this box (committed):
  25000 rows/sec ingest · 17ms p50 / 24ms p95 query
  6250 vectors/sec add  ·  8ms p50 / 20ms p95 search
  queryd 69 MiB · vectord 14 MiB · others 11-29 MiB

Honest measurement-design finding from the very first compare run:
back-to-back runs surfaced -41% ingest and +29% query p50 — pure
disk-cache + queryd-cold-start noise. Single-sample baselines have
real noise floor ≈40%. Recorded as REGRESSION skips so the human
summary surfaces it, not a code regression. Tightening the threshold
or moving to multi-sample medians is a Phase E recommendation.

Verified end-to-end:
  just proof contract       —  53 pass  · 1 skip · ~4s
  just proof integration    — 104 pass  · 1 skip · ~8s
  just proof performance    — 110 pass  · 3 skip · ~10s
  just verify               —  9 smokes still green · 29s

All 11 cases (4 contract + 6 integration + 1 performance) deterministic
end-to-end. Phase E (final report against the 9 mandated questions)
is the last piece.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 05:30:11 -05:00

golangLAKEHOUSE

Go reimplementation of the Lakehouse — a versioned knowledge substrate for staffing analytics + local AI workloads.

Status

Phase G0 complete + G1/G1P/G2 shipped. Six binaries plus a seventh (vectord) and an eighth (embedd) on top, fronted by a single gateway. Acceptance smokes green for D1-D6 + G1 + G1P + G2.

End-to-end staffing co-pilot pipeline functional through the gateway:

text → /v1/embed → /v1/vectors/index/<name>/add
text → /v1/embed → /v1/vectors/index/<name>/search → top-K hits

Plus the SQL path:

CSV  → /v1/ingest    (parses, writes Parquet via storaged, registers
                      manifest with catalogd)
SQL  → /v1/sql       (DuckDB over the registered Parquets via httpfs)

See docs/PHASE_G0_KICKOFF.md for the day-by-day record (D1-D6 + real-scale validation + G1/G1P/G2 pointer at the bottom).

Service inventory

Bin Port Role
gateway 3110 Reverse proxy fronting all backing services
storaged 3211 Object I/O over S3 (MinIO in dev)
catalogd 3212 Parquet manifest registry, ADR-020 idempotency
ingestd 3213 CSV → Parquet → register loop
queryd 3214 DuckDB SELECT over registered Parquets via httpfs
vectord 3215 HNSW vector search (+ optional persistence to storaged)
embedd 3216 Text → vector via Ollama (default nomic-embed-text 768-d)

Acceptance smokes

scripts/d1_smoke.sh   # 5-binary skeleton + chi /health + gateway proxy probes
scripts/d2_smoke.sh   # storaged GET/PUT/LIST/DELETE + 256 MiB cap + concurrency cap
scripts/d3_smoke.sh   # catalogd register/manifest/list + rehydrate-across-restart
scripts/d4_smoke.sh   # ingestd CSV → Parquet round-trip + schema-drift 409
scripts/d5_smoke.sh   # queryd DuckDB SELECT through httpfs over MinIO
scripts/d6_smoke.sh   # full ingest → query through gateway only
scripts/g1_smoke.sh   # vectord HNSW recall + dim mismatch + duplicate-create 409
scripts/g1p_smoke.sh  # vectord state survives kill+restart via storaged
scripts/g2_smoke.sh   # embed → vectord add → search round-trip

Or run the full gate via the task runner (see below):

just verify     # vet + tests + 9 smokes; ~33s wall

Task runner

just                 # show available recipes
just verify          # full Sprint 0 gate (vet + tests + 9 smokes)
just smoke <day>     # single smoke (d1..d6, g1, g1p, g2)
just doctor          # check cold-start deps; --json for CI
just install-hooks   # install pre-push hook that runs just verify

After a fresh clone, run just install-hooks once so git push is gated on the same green chain that ran here. Hook lives in .git/hooks/pre-push (not tracked; recreated by the recipe).

Cold-start dependencies

  • Go 1.25+ at /usr/local/go/bin (arrow-go pulled the 1.25 floor)
  • gcc + libc-dev for the DuckDB cgo binding (ADR-001 §1.1)
  • just task runner (apt install just on Debian 13+)
  • MinIO running on :9000 with bucket lakehouse-go-primary
  • Ollama running on :11434 with nomic-embed-text loaded (G2)
  • /etc/lakehouse/secrets-go.toml with [s3.primary] credentials (storaged + queryd both read this)

just doctor probes all of the above and reports the fix command for each missing dep. CI / scripts can use just doctor --json.

Layout

docs/                         Direction + spec + ADRs + day-by-day
cmd/                          One main package per binary
internal/                     Shared packages — storeclient, catalogclient,
                                secrets, shared, embed, gateway, plus
                                per-service implementation packages
scripts/                      Smokes + ancillary tooling

Reading order

  1. docs/PRD.md — what we're building and why
  2. docs/SPEC.md — how, per-component
  3. docs/DECISIONS.md — ADRs (ADR-001 foundational)
  4. docs/PHASE_G0_KICKOFF.md — day-by-day from D1 through G2
  5. docs/RUST_PATHWAY_MEMORY_NOTE.md — historical reference for the Rust era's pathway memory (not migrated, by ADR-001 #5)

Predecessor

The Rust Lakehouse this rewrite supersedes lives at git.agentview.dev/profit/lakehouse. It remains the live system serving devop.live/lakehouse/ until this Go implementation reaches feature parity per docs/SPEC.md §7. Then Rust enters maintenance-only mode.

Description
Go reimplementation of the Lakehouse — versioned knowledge substrate for staffing analytics + local AI workloads
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