d044e93bdbbaeb80d3fb798cccb6058d1ad52ee5
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6959e1220c |
Revert "db: collapse alembic 0001..0087 into one baseline"
This reverts
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2529b516e6 |
db: collapse alembic 0001..0087 into one baseline (milestone 328 step 1)
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87 revisions narrating this project's build-out become one file that creates the schema in a single step. They cost nothing at runtime — all 86 upgrade steps ran in 0.2s (note #3260) — so this is a presentation change, not a performance one: a new installer should not inherit our development history to stand up a database. Deleted: 87 revisions (6,052 lines), the 10 tests/test_migration_*.py files (483 lines) that asserted intermediate states and backfills which no longer exist, and backend/app/utils/artist_backfill.py — the only live module a migration imported, with no other consumer anywhere. That last one satisfies the operator's separate request to inline it into 0008 and delete the module; the squash removes both outright. THE REVISION ID IS "0087", NOT "0001", ON PURPOSE. It is the id of the last revision collapsed, so an existing database is already at head and `alembic upgrade head` does nothing. The alternative is `alembic stamp` against live data, and stamp validates NOTHING — it writes a version string whether or not the schema matches, so a wrong baseline surfaces later, via the next real migration, with no clean way back. This removes that operation rather than making it safe. Future revisions run from 0088. Four things are hand-written because SQLAlchemy metadata does not carry them, and none fail at generation time: 1. CREATE EXTENSION vector — the VECTOR columns cannot be created without it, so it is ordered first in upgrade(). 2. CREATE EXTENSION tsm_system_rows — surfaces only when the random sample query runs. 3. the HNSW index on image_record.siglip_embedding, raw SQL because create_index cannot express USING hnsw (... vector_cosine_ops). The quietest of the four: everything works, similarity search just stops using an index. 4. import pgvector.sqlalchemy.vector — autogenerate EMITS pgvector.sqlalchemy.vector.VECTOR references without importing it, so the generated file dies with NameError on first run. The candidate came out of CI (run 4967) as checksummed base64 rather than a plain cat, because run 4964's cat was truncated mid-line inside a column definition with the step still green — 29 tables instead of 42, and it looked entirely plausible. Verified here: 56,582 bytes, sha256 471acfca69c0…, 42 tables, 66 indexes, 42 drops. NOT YET PROVEN against the old chain. baseline.yml does that, and it is step 2's gate; this commit does not claim the schemas match. |
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181f1c6a27 |
perf(gpu-queue): partial indexes + two-phase lease so leasing stays O(batch)
The throughput bottleneck was curator-side, not the network. lease() claimed the lowest-id pending/expired jobs with `... ORDER BY id LIMIT n`, but with only a plain `status` index Postgres walked the primary key from id=1, skipping the entire prefix of already done/error rows before reaching pending ones. As `done` grew (69k+), every lease became an O(done) scan — leasing crawled, the DB saturated, and even /status (the queue GROUP BY count) stalled the agent. - Migration 0070 adds two partial indexes over just the live slice: pending rows indexed by id (hot path), and leased rows by lease_expires_at (crash-recovery + orphan sweep). They stay tiny no matter how large the done/error history. - lease() split into two phases so each uses a partial index: claim pending first (id-ordered, O(batch)); reclaim expired leases only when pending can't fill the batch. Same semantics (SKIP LOCKED, attempts++, expired reclaim). - Model __table_args__ declares the indexes so ORM and schema agree. - Test: a done-prefix at low ids must not stop the lease reaching pending. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |