lakehouse/docs/PHASES.md
root 19bdfab227 Phase 2: DataFusion query engine over Parquet
- queryd: SessionContext with custom URL scheme to avoid path doubling with LocalFileSystem
- queryd: ListingTable registration from catalog ObjectRefs with schema inference
- queryd: POST /query/sql returns JSON {columns, rows, row_count}
- queryd→catalogd wiring: reads all datasets, registers as named tables
- gateway: wires QueryEngine with shared store + registry
- e2e verified: SELECT *, WHERE/ORDER BY, COUNT/AVG all correct

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-27 05:48:20 -05:00

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# Phase Tracker
## Phase 0: Bootstrap
- [x] 0.1 — Cargo workspace with all crate stubs compiling
- [x] 0.2 — `shared` crate: error types, ObjectRef, DatasetId
- [x] 0.3 — `gateway` with Axum: GET /health → 200
- [x] 0.4 — tracing + tracing-subscriber wired in gateway
- [x] 0.5 — justfile with build, test, run recipes
- [x] 0.6 — docs committed to git
**Gate: PASSED** — All crates compile. Gateway runs. Logs emit. Docs committed.
## Phase 1: Storage + Catalog
- [x] 1.1 — storaged: object_store backend init (LocalFileSystem)
- [x] 1.2 — storaged: Axum endpoints (PUT/GET/DELETE/LIST /objects/{key})
- [x] 1.3 — shared/arrow_helpers.rs: RecordBatch ↔ Parquet + schema fingerprinting
- [x] 1.4 — catalogd/registry.rs: in-memory index + manifest persistence to object storage
- [x] 1.5 — catalogd/schema.rs: schema fingerprinting (merged into shared/arrow_helpers.rs)
- [x] 1.6 — catalogd service: POST/GET /datasets + GET /datasets/by-name/{name}
- [x] 1.7 — gateway routes to storaged + catalogd with shared state
**Gate: PASSED** — PUT object → register dataset → list → get by name. All via gateway HTTP.
## Phase 2: Query Engine
- [x] 2.1 — queryd: SessionContext + object_store config (custom scheme to avoid path doubling)
- [x] 2.2 — queryd: ListingTable from catalog ObjectRefs with schema inference
- [x] 2.3 — queryd service: POST /query/sql → JSON (columns + rows + row_count)
- [x] 2.4 — queryd → catalogd wiring (reads dataset list, registers as tables)
- [x] 2.5 — gateway routes /query with QueryEngine state
**Gate: PASSED** — SELECT *, WHERE/ORDER BY, COUNT/AVG all return correct results via catalog.
## Phase 3: AI Integration
- [ ] 3.1 — Python sidecar: FastAPI + Ollama (embed/generate/rerank)
- [ ] 3.2 — Dockerfile for sidecar
- [ ] 3.3 — aibridge/client.rs: HTTP client to sidecar
- [ ] 3.4 — aibridge service: Axum proxy endpoints
- [ ] 3.5 — Model config via env vars
**Gate:** Rust → Python → Ollama → real embeddings return.
## Phase 4: Frontend
- [ ] 4.1 — Dioxus scaffold, WASM build
- [ ] 4.2 — Dataset browser
- [ ] 4.3 — Query editor + results table
- [ ] 4.4 — Error display + loading states
**Gate:** Browse datasets and query from browser.
## Phase 5: Hardening
- [ ] 5.1 — Proto definitions
- [ ] 5.2 — Internal gRPC migration
- [ ] 5.3 — OpenTelemetry tracing
- [ ] 5.4 — Auth middleware
- [ ] 5.5 — Config-driven startup
**Gate:** gRPC internals, traces, auth, restartable from repo + config.