12dc648cff
perf: round 4 — one-pass row paths, drive-selector cache, CalDAV single-parse, streamed Azure, batched hydration
...
Nine benchmark-gated changes (benches/ROUND4.md; every one ships with a
BEFORE/AFTER bench + equivalence gate, rollback rule as ROUND2/3):
- Row→entity path build: one-pass StoragePath::from_folder_and_name /
from_joined + normalize_storage_name_owned + alloc-free Display —
743→417 ns/file-row (1.78x), −5 allocs/row on every listing surface.
- WebDAV drive-selector: per-user readable_cache (single-flight, 30 s
TTL, explicit invalidation incl. membership + group changes) replaces
the grants join per request — 441 µs → 0.8 µs (~550x), 0 queries warm.
- CalDAV from_ical/update_ical_data: 8 full IcalParser runs per VEVENT
→ 1 (7.1x per PUT, 4.4x on 50-event imports); alloc-free split_vevents,
chunk scan without the whole-body uppercase copy (1.4x), borrowed-key
UID grouping (1.3x), REPORT props no longer cloned.
- PROPFIND emit: partition Vecs dropped (single-pass 404 list) + stack
rendered RFC 3339/2822 dates, sizes, quoted etags (common::fmt,
chrono-byte-identical, sweep-tested) on both DAV surfaces — 1.22x
per page, 17.9→12.0 allocs/row.
- Grant-listing hydration: calendars/address books/playlists batch
hydrate via = ANY($1) — 15 serial queries → 1 (~13x per sync poll).
- user-flags cache: get→insert → try_get_with single-flight (32→1
queries per cold herd).
- Azure downloads: whole-blob Vec buffering → streamed SDK pages —
TTFB 349→4 ms (87x), peak heap 480→1.9 MiB (254x) on 256 MiB blobs;
new OXICLOUD_AZURE_ENDPOINT_URL override (Azurite/bench hook).
- Face indexing: unbounded per-image tokio::spawn → core-count
semaphore, permit before blob read — peak heap 1175→176 MiB (6.7x).
Checks: cargo fmt, clippy --all-features --all-targets -D warnings,
cargo test --workspace (523 passed) + --features test_utils. hurl API
suite and dockerized integration DB not runnable in this environment —
left to CI.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com >
Claude-Session: https://claude.ai/code/session_017aJu9ghvuT8WqC31ZEGTBA
2026-07-17 13:48:37 +00:00
1dca9d7d05
feat(faces): indexing pipeline + DI wiring
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Phase 2 increment 5:
- FaceIndexingService: a FileLifecycleHook that, on image upload, detects +
embeds faces in a background task and stores them. Dedup-aware (clones an
identical blob's faces instead of re-running inference), reindexes on
overwrite, and relies on the DB cascade for deletes. Completely inert when
no model is ready.
- DI: registers the hook in the FileLifecycleService chain and exposes
PeopleService in AppState — both gated on OXICLOUD_ENABLE_FACES, both
using the default no-op analyzer until the operator wires a real ONNX
model.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
Claude-Session: https://claude.ai/code/session_01JW6ghFMDtnRYuYNzZhb47M
2026-06-19 11:46:57 +00:00
Claude