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Commit 69692c3
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perf(db): add hot-path indexes for matching, latest-bbox and frame lookups
Closes #663. Three query shapes on the detection hot path had no index behind
them, so each seq-scanned a growing table:
- a pose's recently-seen sequences (camera_id, pose_id, last_seen_at), run on
every POST /detections during spatial matching
- the latest real bbox of a sequence (sequence_id, created_at), run once per
candidate sequence per detection, and the same shape the player's sequence
reads sort on
- sibling rows sharing a frame object (bucket_key), on DELETE /detections/{id}
Measured on the (sequence_id, created_at) shape with production-scale synthetic
data, index scan vs forced seq scan on identical rows: 7.6ms -> 0.45ms at 200k
detections, 34.8ms -> 0.42ms at 2M (roughly production today), 63.6ms -> 1.1ms
at 5M. The seq-scan side grows linearly with the table while the index scan
stays flat, so the gap widens as detections accumulate.
Built with CREATE INDEX CONCURRENTLY inside an autocommit block: detections is
the highest-write table and a plain build would hold ACCESS EXCLUSIVE against
camera ingest for its whole duration. The migration also self-heals, dropping an
index left INVALID by a cancelled build, which if_not_exists would otherwise
skip while the upgrade reported success and the planner ignored it.
The indexes are declared in models.py as well as the migration so create_all
built test databases match production, with tests pinning both sides against one
list since drift between them is otherwise invisible.1 parent 81b7793 commit 69692c3
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