The folder listing now carries the favorite/share badge state for exactly the
items it returns, so the files browser stops fetching favorites and outgoing
shares separately. This removes the last per-navigation badge round-trips AND
fixes the correctness hole of the previous approaches: badges were derived from
only the first 200 global favorites / shares, so a favorited or shared item
outside that window showed no badge. Now every listed item is correct, and the
work is scoped to the items on screen.
Backend (`GET /api/folders/{id}/listing`):
- `FolderListingDto` gains `favorite_ids` and `shared_ids` (sorted) — listing-
level metadata, so no churn to the many FileDto/FolderDto constructors.
- The handler computes both with two batched, index-backed queries run
concurrently: `FavoritesService::favorited_ids` (auth.user_favorites, ANY) and
`PgAclEngine::shared_resource_ids` (storage.role_grants by granted_by + ANY,
which already covers public links as 'token' grants — same membership the
/grants/outgoing/resources endpoint exposes). Both fold into the ETag.
- Public-share browsing passes empty sets (anonymous, read-only context).
Frontend:
- `listFolder` reads `favorite_ids` / `shared_ids`; the files view seeds local
badge sets straight from the listing and updates them optimistically on
favorite toggle / batch / share creation (via ShareDialog's `onshared`).
- Removes the session `badges` store + its fetches entirely — the listing is now
the single, authoritative, fetch-free source.
Net: favorite/share badges cost zero extra client requests per navigation and
are correct regardless of how many favorites/shares the user has. Validated:
cargo check + clippy -D warnings (backend; integration tests need Postgres,
unavailable here), frontend npm run check + unit tests, and a headless render of
the real files route (list + grid) with the new flags present — no errors.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01M8Vb9QHmLZnEMzHz7MrFy6
Phase 2 increment 4:
- recluster(user): union-find connected-components over the user's face
embeddings (cosine threshold); groups of >= min_faces become persons, and
an existing person's name is preserved across reclusters. O(n^2) — fine
for moderate libraries; an ANN index is the documented scale-up.
- caller_id-scoped use cases for the HTTP layer: list_people (non-empty
clusters, cover thumbnail, most-photographed first), person_photos,
faces_for_file, rename, hide, merge, and delete_all (right to erasure).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JW6ghFMDtnRYuYNzZhb47M
Phase 2 increment 2:
- domain: Face, Person, BoundingBox, DetectedFace (512-d embeddings).
- ports: FaceAnalyzerPort (detect + embed from raw bytes; decodes internally
so the application layer stays image/ML-crate agnostic) and FaceRepository
(user-scoped face/person persistence).
- DTOs: PersonDto, FaceBoxDto.
- NoopFaceAnalyzer — reports is_ready()==false and returns no faces, so the
whole People pipeline compiles and runs inert until the operator wires a
real ONNX-backed analyzer.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JW6ghFMDtnRYuYNzZhb47M
Three list endpoints resolved each resource with one query per id:
- GET /api/grants/incoming and /api/grants/outgoing used
join_all(ids.map(get_file)) + join_all(ids.map(get_folder)), so a single
page (limit ≤ 200) could demand ~200 concurrent connections from the
20-connection primary pool, causing acquire-timeouts and head-of-line
blocking under load.
- The NextCloud favorites REPORT (oc:filter-files) fetched get_file/
get_folder once per favorite — up to N serial round-trips per sync.
Add by-ids batch reads that mirror the existing get_file/get_folder column
mapping and NOT is_trashed filter:
- FileBlobReadRepository::get_files_by_ids / FolderDbRepository::get_folders_by_ids
(one SELECT ... WHERE id = ANY($1)), exposed as FileRetrievalService::
get_files_by_ids / FolderService::get_folders_by_ids returning DTOs.
- Both grant handlers and the favorites REPORT now issue two batch queries
total and look results up by id, preserving original order. Missing ids
(stale grants whose resource was deleted, or trashed/removed favorites)
drop out exactly as before. No auth-semantics change: these paths already
resolved ids vetted by the authorization engine / favorites table.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TAzLEQDaLak3dnrEN3YT35
Phase 1 server side, gated on OXICLOUD_ENABLE_PLACES (off by default):
- migration: partial index on storage.file_metadata(longitude, latitude).
- FileBlobReadRepository::list_geo_clusters — plain-SQL grid aggregation
(no PostGIS) scoped to the caller's own non-trashed photos, returning a
centroid, count and a representative file id per non-empty cell.
- PlacesService (caller_id-scoped; user-scoped data needs no authz check,
mirroring RecentService) with a zoom→cell-size mapping.
- GET /api/photos/geo?bbox=w,s,e,n&zoom=N returning GeoCluster[]. The route
is mounted only when the Places service is present, and is registered in
the OpenAPI path list.
The map frontend (PMTiles serving + MapLibre module) is deferred pending
the basemap-sourcing and vendoring decision.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JW6ghFMDtnRYuYNzZhb47M
remove_manifest_reference unlinked a chunk's backing file right after the
row-delete committed — the same TOCTOU the GC grace window was added to
close: a concurrent upload of identical content can re-reference (pin) the
chunk in the gap between commit and unlink, after which the deferred
unlink strands a referenced chunk with no bytes.
Route physical chunk reclamation through the single grace-protected path:
on last reference, delete the manifest and decrement its chunks (stamping
orphaned_at on the ones that reach 0), but leave the chunk rows and files
for garbage_collect() to reclaim once orphaned past the grace window. The
manifest deletion and its blob-keyed thumbnail hook stay eager.
remove_legacy_reference and cleanup_if_orphaned's legacy path are left as
eager deletes on purpose: a legacy whole-file hash can never be re-created
by an ingest (uploads are always CDC now), so there is no writer to race —
the existing "row gone ⇒ no resurrection" reasoning holds for them.
Adds an integration test asserting a CDC manifest dereference leaves
chunks orphaned-but-present, then reclaimed by a post-grace GC.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0172rsVwzTwD216R9HXT2aU4
Deduplication GC (garbage_collect, Phase 2):
- Add an orphan grace period before a ref_count=0 blob's backing file is
physically deleted, mirroring git's gc.pruneExpire. New
storage.blobs.orphaned_at records when a blob last reached ref_count 0;
the delete trigger and every decrement / 0-ref insert path stamp it,
every re-reference clears it.
- Cross-check that no manifest lists the chunk and no file points at the
blob before deleting it (mirrors Phase 1's file check), so a stale
ref_count can only delay collection, never delete live content.
- Unlink the backing files with bounded parallel fan-out.
Together these close a TOCTOU where a concurrent upload of identical
content could re-reference a chunk in the window between the GC row
delete committing and the backing file being unlinked. Individual file
deletes still reclaim eagerly; only bulk empty-trash and the periodic
sweep observe the grace window.
Trash: match ErrorKind::NotFound instead of substring-matching the error
message when treating an already-deleted item as success.
Content-index worker: supervise the drain loop and restart it with
backoff after a panic, instead of letting a panic silently freeze the
search index while the dirty queue grows unbounded.
Adds migration 20260802000000_blob_gc_grace.sql and an integration test
covering the grace window and reference cross-checks.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0172rsVwzTwD216R9HXT2aU4
Standard CalDAV/CardDAV clients (Thunderbird, DAVx5, Apple
Calendar/Contacts) failed to connect, mounted collections read-only, or
could not discover address books, even though curl worked. Three
protocol-compliance gaps caused this:
1. Missing Basic-auth challenge on /caldav and /carddav.
The 401 returned for these surfaces carried no `WWW-Authenticate`
header (only /webdav did). Spec-compliant clients never send
credentials preemptively the way `curl -u` does — they wait for the
challenge — so Thunderbird never authenticated and failed with
"discovery failed" / 401. Extend the challenge to all DAV surfaces via
shared `is_dav_path` / `dav_basic_auth_challenge` helpers.
2. Calendars always advertised read-only.
The `current-user-privilege-set` write gate compared `owner_id`
against the literal string "current_user_id", which never matched a
real UUID, so `<D:write/>` was never emitted and clients mounted every
calendar read-only. Thread the caller's id through the CalDAV adapter
and grant write when the caller owns the calendar.
3. CardDAV discovery was incomplete.
There was no `/.well-known/carddav` route and the root PROPFIND
exposed neither `current-user-principal` nor `addressbook-home-set`,
so clients could not locate address books. Add the well-known redirect
and root/principal discovery responses mirroring the CalDAV adapter.
Adds unit tests for the auth challenge predicate, the calendar
owner/non-owner privilege split, and the CardDAV root/principal discovery
responses.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016cVV9nRQjP6G6a8zbNUWMw
prepare migration of permission to roles
this simplify drastically database (permission are now simply defined in code)
and will permit reuse of the same ReBAC engine to define owners of drives
mapping:
```
Role::Viewer => &[Permission::Read],
Role::Commenter => &[Permission::Read, Permission::Comment],
Role::Contributor => &[Permission::Read, Permission::Create],
Role::Editor => &[
Permission::Read,
Permission::Comment,
Permission::Create,
Permission::Update,
],
Role::Owner => &[
Permission::Read,
Permission::Comment,
Permission::Create,
Permission::Update,
Permission::Share,
Permission::Delete,
Permission::Manage,
],
```
Threads `new_name: Option<&str>` through FileWritePort::copy_file and
FileManagementUseCase::copy_file_with_perms so a same-folder
COPY /a.txt → /b.txt picks up the destination name via a single
COALESCE($3::text, name) in the CTE. Without it the new row inherits
the source's filename and collides on the (folder_id, name, user_id)
unique index — the "Already Exists" 500 M8 was hitting.
handle_copy in the native WebDAV surface now passes
`(file.name != dest_name).then(|| dest_name.into())`, keeping the
"same name in a different folder" case at None so existing semantics
are preserved.
After every upload, maybe_update_storage_usage spawned a full
`SUM(size) OVER all the user's non-trashed files` to refresh
auth.users.storage_used_bytes — O(N) in the user's file count per upload,
i.e. O(N²) for a bulk upload. (The covering index makes it index-only but
still scans N rows.)
Replace it with an O(1) incremental `storage_used_bytes += size`, keyed by the
file's owner_id (dropping the brittle "My Folder - <user>" path-parsing hack).
Deletes/trash never decremented this value — they already rely on the periodic
reconciliation sweep — so the model is unchanged: the sweep remains the
correctness backstop for every mutation, and the counter is clamped at 0.
Both stay fire-and-forget on a background task, off the upload's latency path.
Benchmarked (per-call, vs the user's existing file count N):
N=1k: full-SUM 202us vs incremental 123us
N=10k: full-SUM 1185us vs incremental 113us (10x)
N=50k: full-SUM 5397us vs incremental 114us (47x — incremental is flat O(1))
Bulk upload of 10k files (insert + usage update each):
full-SUM (O(N²)) 10.37s -> incremental (O(N)) 4.89s (>2x, diverges with scale)
https://claude.ai/code/session_01DCszkkU11LYxMEUWr4setK
FileContentCache (moka, 512 MiB) was keyed by the file UUID, so content that
the CDC store already deduplicates to ONE blob on disk was cached once PER
FILE in RAM: N files sharing a blob held N copies, all counting against the
512 MiB cap. With effective dedup the cache filled with duplicates and
thrashed.
Key it by the blob hash instead (already on FileDto::content_hash):
- The in-RAM cache now benefits from dedup like the disk does — each distinct
blob is cached once and shared across every file/user that references it,
so a download by user A warms the cache for user B's identical content.
- Content is immutable by hash, so entries never go stale; the existing
invalidate(file_id) calls become harmless no-ops (a UUID never matches a
hash key) and can be removed in a later cleanup.
- ETag is now the immutable content hash (strong validator).
- Guarded: a hash-less stub DTO disables caching for that request rather than
colliding every such file on the empty key.
Response Content-Type still comes from the DTO, not the cache, so keying does
not affect the served MIME (verified).
Benchmark (real moka, exact 512 MiB/weight config, 400 files x 4 MiB = 1600 MiB
working set, 4000 uniform-random accesses):
dedup 1x : file_id 35.8% hit / 2568 reads vs hash 35.6% / 2577 (no dedup -> no change; control)
dedup 5x : file_id 35.8% hit / 2570 reads vs hash 98.0% / 80 (32x fewer disk reads, RAM 512->320 MiB)
dedup 20x: file_id 35.1% hit / 2596 reads vs hash 99.5% / 20 (130x fewer disk reads, RAM 512->80 MiB)
The win scales with the dedup ratio; with no dedup it is a no-op.
https://claude.ai/code/session_01DCszkkU11LYxMEUWr4setK
read_blob_stream / read_blob_range_stream reassembled a CDC file by fetching
its chunks with `buffered(1)` — strictly sequential, so the next chunk's
backend fetch (a file `open` locally; a full request round-trip on S3/Azure)
only started after the current chunk was fully drained.
A benchmark of the exact pipeline (stream::iter(chunks).map(get).buffered(K)
.try_flatten()) showed a blind `buffered(4)` is the WRONG fix: on a local
disk it is neutral on a warm page cache and ~37% SLOWER cold, because
concurrent opens turn one sequential read into several competing random-I/O
streams over content-addressed (scattered) chunk files. The win is entirely
on remote backends, where per-chunk request latency dominates and overlapping
fetches hide it (≈ linear in K).
So the read-ahead depth is now a backend hint, not a constant:
- BlobStorageBackend::read_prefetch() default 1 (sequential; safe for local).
- S3 / Azure override to 8 (overlap GETs to hide TTFB).
- cached / encrypted / retry / migration delegate to the backend that serves
the bytes.
- Both CDC read paths use `self.backend.read_prefetch().max(1)`.
Net: local backend unchanged (no regression); remote reassembly ~4-8x faster.
Ordered `buffered` (not buffer_unordered) keeps chunks in sequence.
Bench (per-chunk fetch-latency model): buffered(1)->(4)/(8) = x3.9 / x7.8
@1ms, x4.0 / x8.1 @5ms, x4.0 / x8.0 @20ms. Local warm: 230ms@1 vs 227ms@4
(noise); local cold: 425ms@1 vs 585ms@4 (why local stays at 1).
https://claude.ai/code/session_01DCszkkU11LYxMEUWr4setK
Pre-existing in the delta-upload service: Rust 1.93's stricter large_enum_variant lint flags the FileDto-carrying Done variant (the sibling variant is tiny). The value is short-lived (one per commit), so silence the lint rather than box FileDto and complicate every call site. Keeps the CI clippy -D warnings gate green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Both sides added a parameter to create_application_services and a
setup step before it: this branch's storage-usage/quota service (for
the instant-upload path) and main's Tantivy content index (for
SearchService). The resolution keeps both — the signature takes both
arguments and the build runs storage usage as step 3c and the content
index as 3d.
https://claude.ai/code/session_01WdNenpnujNR2sc32XVvwfS
Phase 3 of the delta-sync plan — the inverse direction, so a future
client app holding an older local version can fetch only what changed:
- GET /api/files/{id}/manifest returns the file's chunk recipe
({file_hash, total_size, chunks}). Owner-scoped like the rest of the
delta surface (Read permission through the authz engine first, then
the chunk layer's possession standard; shared files use the regular
download endpoints). A manifest is immutable for a given file_hash,
so it is served with ETag = file_hash and If-None-Match answers 304 —
polling sync clients pay one header round-trip per unchanged file.
Legacy pre-CDC blobs are presented as a single-chunk manifest of
themselves, so clients need no special case.
- POST /api/files/delta/download streams the requested chunks as
[u32 BE length][bytes] frames in request order — the same wire format
the upload direction uses. Entitlement is the same possession rule as
negotiate/commit (chunks reachable through the caller's own files);
anything else returns 404 {not_available} — deliberately
indistinguishable from "never existed" — with a
delta_download.rejected audit event. Batches are bounded by the
chunk_max_bytes budget; Content-Length is exact (sizes come from the
dedup index) and peak RAM is one backend read frame.
Both endpoints share the delta rate limiter. New DedupService
primitives: manifest_chunk_list (with legacy fallback), chunk_sizes,
chunk_stream. OpenAPI regenerated; protocol doc gains the download
section; types.js maps the new wire shapes (plus the delta-upload
typedefs that a container reset had silently dropped from a previous
commit).
Verified end-to-end against PostgreSQL 16 with a simulated two-device
sync: device A uploaded 24 MB by bytes and delta-updated it (2 edits →
2 chunks); device B diffed the manifest against its WASM-chunked local
copy, needed 2/79 chunks, fetched 970 KB instead of 24 MB (96.1%
saved) and rebuilt the file byte-identical with the BLAKE3 verifying.
If-None-Match revalidation returned 304; a second user got 404 on both
the manifest and the chunk batch (with the not_available list and
audit lines); an unknown hash was indistinguishable from a denied one;
an empty hash list returned 400.
https://claude.ai/code/session_01WdNenpnujNR2sc32XVvwfS
/api/search now finds files by CONTENT as well as by name: BM25-ranked
matches over extracted text (PDF, Office OOXML/ODF, plain text/code)
with typo-tolerant fuzzy terms and search-as-you-type prefix matching,
served from an embedded Tantivy index at {storage}/.search-index.
Pipeline (all off the request path, mirroring tree-etag + thumbnails):
- statement triggers on storage.files append to a durable dirty queue
(storage.search_index_dirty) - every write surface (REST, WebDAV,
NextCloud, WOPI, trash) is covered, crash-safe by construction
- ContentIndexWorker drains the queue on the maintenance pool, extracts
text once per unique BLAKE3 blob (storage.blob_extracted_text cache:
N copies = 1 extraction, renames/moves = 0 re-extraction) and applies
batched single-writer Tantivy commits; queue rows are deleted only
after the commit succeeds (at-least-once, idempotent upserts)
- the index is a derived artifact: a version-marker mismatch wipes and
reseeds it from Postgres, which remains the single source of truth
SearchService merges content hits into the existing name search: hits
are hydrated through ONE SQL round-trip that re-applies user scope,
trash state and every active filter (a stale index id can never leak),
scored below name matches, and returned with a plain-text snippet and
a match_source field. Index failure or
OXICLOUD_ENABLE_CONTENT_SEARCH=false degrades to name-only search; a
discard-only janitor keeps the trigger-fed queue bounded while disabled.
The frontend renders the snippet under the file name in list view.
New dependencies: tantivy 0.26, zip 8.6 (deflate only), pdf-extract 0.10.
https://claude.ai/code/session_01Sc7F4xbo83YbFAQ4xEeDrX
Phase 1 of the delta-sync plan, server side. The CDC store already shares
unchanged chunks between file versions after the bytes arrive; these three
stateless endpoints move that detection to the client, so editing a few
bytes of a large file uploads ~1 MiB instead of the whole file:
- POST /api/files/delta/negotiate — given the file's chunk hashes, answer
which ones the caller must upload. User-scoped and purely advisory.
- PUT /api/files/delta/chunks — missing chunks as [u32 BE len][bytes]
frames (streaming parse, ≤1 MiB per frame, chunk_max_bytes per request).
Every hash is recomputed server-side; chunks land as ref_count=0 orphans
that a commit pins or the periodic GC sweeps — no session table.
- POST /api/files/delta/commit — pin one reference per distinct chunk with
a single UPDATE…RETURNING restricted to chunks the caller is entitled
to (reachable through their own non-trashed files, or unreferenced
orphans); anything else returns 409 {still_missing} for the client to
upload and retry. The pinned sequence is then RE-READ and the whole-file
BLAKE3 recomputed before any manifest exists — a declared file_hash is
never trusted, because a forged manifest would poison future whole-file
dedup hits for other users. The manifest accounting is shared with the
byte path (attach_manifest, extracted from store_from_stream); the file
row is created (201) or its content swapped by file_id (200). Owners of
the exact file_hash short-circuit to a pure reference bump.
Supporting pieces: GIN index on chunk_manifests.chunk_hashes (containment
probes were sequential scans), claimable/pin/release/store-loose/verify
primitives on DedupService, update-by-id with Update-permission AuthZ on
FileUploadService, per-caller rate limiter (240/min), audit events with
stable reasons (rate_limited, chunk_verification_failed,
file_hash_mismatch), OpenAPI + docs/delta-upload-protocol.md, framing
parser unit tests and a PG-gated integration suite covering the
entitlement matrix (owned/foreign/orphan/unknown), orphan registration
and the verification read.
Verified end-to-end against PostgreSQL 16 with a node client hashing via
the vendored WASM: a 24 MB file delta-committed in 96 fixed-size chunks;
a 3-byte edit then negotiated missing 1/96 and synced with 278 KB on the
wire vs 24 MB (98.9% saved), downloading byte-identical. A second user
probing the same chunks got nothing (negotiate: all missing; commit: 409
with all 96 still withheld); a forged file_hash returned 400 plus the
audit line; a commit referencing one never-uploaded chunk returned 409
naming exactly that hash; the GIN index serves containment probes
(Bitmap Index Scan) once the planner favors it.
https://claude.ai/code/session_01WdNenpnujNR2sc32XVvwfS
Phase 0 of the delta-sync plan. Re-uploading a file the user already has
(another device, a restore, a duplicate) used to transfer every byte just
for the server to discard them as a dedup hit. The frontend now computes
the file's BLAKE3 locally and, on a hit, registers the file with a single
~150-byte metadata call.
Server — POST /api/files/by-hash:
- All checks live in the application service per the AuthZ rule:
Create permission on the target folder via the authorization engine,
hash ownership via the existing user-scoped query (a non-owned hash
returns 404 — same shape as "no such blob" — and emits an
instant_upload.rejected audit event), quota on the logical size.
- On success: one ref_count bump + the existing save_file_with_blob row
registration (compensation included); is_new_blob=false so lifecycle
hooks skip thumbnail regeneration. ~10 ms warm.
- The storage-usage service is now built before the application services
and injected, instead of only living on AppState.
Client — WASM BLAKE3 + worker:
- wasm/oxicloud-hash: the exact same blake3 crate the server uses,
compiled with WASM SIMD128 (~660 MB/s measured) so browser hashes match
server content addresses bit for bit. Built by scripts/build-wasm.sh;
the artifacts (45 KB wasm + 8 KB glue) are vendored like pdf.js — no
npm dependencies, no wasm toolchain needed for regular builds.
- static/js/workers/hashWorker.js streams the File in 8 MiB slices off
the main thread (constant RAM at any file size).
- features/files/instantUpload.js orchestrates: threshold (8 MiB — below
it the round-trips cost more than the bytes), user-scoped
/api/dedup/check, by-hash registration, and silent fallback to the
normal byte upload on any miss, race or unsupported environment.
Wired into both uploadFiles and uploadFolderEntries.
- biome.json vendors exclusion fixed to cover nested directories
(previous vendors were .mjs and never matched the *.js include).
Verified end-to-end against PostgreSQL 16: node-driven WASM hash equals
the server's content_hash for a 20 MB file; by-hash returns 201 in ~10 ms
warm with a 151-byte request (vs 20,971,873 bytes for the byte upload);
the copy downloads byte-identical and the manifest ref_count goes 1→2;
a second user probing the same hash gets exists:false and 404 plus the
audit line; duplicate name → 409, malformed hash → 400; worker and wasm
are served with correct MIME (application/wasm).
https://claude.ai/code/session_01WdNenpnujNR2sc32XVvwfS
Every upload surface previously wrote each byte to disk twice: the HTTP
body was spooled to a temp file (or assembled from chunk parts), then
mmap-re-read for FastCDC analysis, and finally the new chunks were
written to the blob backend. CDC could not start until the last byte
arrived, so large uploads paid receive + reread + rewrite latency.
The dedup engine now chunks, hashes and settles the stream WHILE it
arrives (fastcdc AsyncStreamCDC + incremental BLAKE3):
- Each batch of distinct chunks is pinned-or-classified by ONE
`UPDATE … RETURNING` (no check-then-bump TOCTOU; pinned chunks can't
be reclaimed mid-upload), and only chunks the store doesn't have are
written — a full dedup hit performs zero content writes.
- Durability before visibility is preserved: one batched fsync sweep,
then one batched INSERT, then the manifest. Identical concurrent
uploads are resolved at the manifest INSERT via ON CONFLICT (the
loser releases its references and becomes a dedup hit).
- A drop guard rolls back pins and surfaces written-but-unregistered
chunks to GC if the request future is cancelled mid-stream.
- MIME sniffing now peeks the first bytes in-flight; client-requested
MD5/SHA-256 checksums are computed by a stream tee — the post-upload
re-read of the assembled file is gone.
All surfaces converge on the new interfaces::upload_ingest helper:
REST multipart, WebDAV PUT, NextCloud PUT, WOPI PutFile, the dedup
endpoint, and both chunked-upload completions (which now stream their
ordered parts straight into the store instead of writing an assembled
file — chunk parts persist until finalize, so completion is genuinely
retryable). The legacy blob re-chunk migration streams from the
backend with no spool file either.
Legacy removed: store_from_file + mmap CDC analysers + temp-path
plumbing through every port (pre_computed_hash, save_file_from_temp,
update_file_content_from_temp), upload_spool + assembled-file
assembly in both chunked services, create_file/update_file byte-slice
variants (no callers), common::temp, the OXICLOUD_UPLOAD_TMPDIR
config, and the memmap2 dependency.
Verified end-to-end against PostgreSQL 16: 8 MB upload (26 chunks),
identical re-upload (dedup hit, zero writes), 3-byte edit re-upload
(26 chunks, 1 written), byte-identical downloads, Range across chunk
boundaries, concurrent identical-upload race (manifest ref 2), and
trash-empty reclaiming exactly the unshared chunk while the shared 25
survive for the edited file. The empty/sub-8KB multipart path found a
post-EOF re-poll panic in the MIME peek (fixed with fuse + regression
test).
https://claude.ai/code/session_01WdNenpnujNR2sc32XVvwfS
JWT validation cache now stores Arc<TokenClaims> and validate_token
returns Arc<TokenClaims>. On a cache hit — the 99% path for every
authenticated request — the moka lookup was deep-cloning the whole
claims struct (5 Strings: sub, jti, username, email, role) on every
call. It is now a refcount bump. Read-only callers (admin middleware)
go through Deref and allocate nothing; the auth middleware clones only
the three fields it moves into CurrentUser (was 5 clones, now 3), and
the admin paths clone only role (was 5, now 1). A new test asserts the
hit path returns a pointer-equal Arc.
TokenServicePort::validate_token is the single trait method touched;
its only implementor is JwtTokenService and the only production callers
are the auth and admin middleware (the WOPI handler uses a separate
WopiTokenService).
Dockerfile: rust:1.94.1-alpine3.23 -> rust:1.96-alpine3.24 and
alpine:3.23.3 -> alpine:3.24.0 for the runtime stage.
https://claude.ai/code/session_0193Hff42gaA962wThxMGSd1
Two hot-path fixes for DAV sync clients, which poll continuously:
1. App-password Basic Auth cache TTL 30s → 300s. Every cache miss costs
a full Argon2id verification (~50-100ms CPU) plus two DB queries; at
30s a continuously-syncing client re-paid that every 30s. 5 min cuts
it ~10x. Safe because revoke() already invalidates the user's cached
entries immediately; expiry/deactivation are only re-checked on a
miss, so they now have a <=5 min grace window (comparable to a JWT
access-token lifetime) — documented on the constant.
2. WebDAV lock store: replace the tokio::spawn + sleep scheduled per
acquire/refresh with Moka's per-entry Expiry policy. Office clients
refresh locks constantly, leaving thousands of orphaned sleeping
timers pinned in the runtime that were never cancelled. by_path now
carries the exact per-lock TTL via LockExpiry (no background tasks);
by_token keeps a 24h backstop and resolves through by_path, so a
lingering reverse-index entry can never resurrect an expired lock.
Adds unit tests for the expiry policy and acquire/refresh/release
(the module had none).
https://claude.ai/code/session_0193Hff42gaA962wThxMGSd1
A REPORT multiget for a handful of resources previously listed the
whole calendar/address book (every row incl. ical_data/vcard) and
filtered by href in Rust with an O(N×M) substring scan. Large
collections paid full-table latency, RAM and DB CPU on every sync.
- Add find_events_by_ical_uids / get_contacts_by_uids through every
layer (domain repo trait → PG repo → storage port/adapter → use case
→ handler) using one indexed `= ANY($2)` query, mirroring the
existing single-UID lookups.
- Extract UIDs from multiget hrefs with a shared, tested
uid_from_multiget_href helper (percent-decoding, case-insensitive
extension strip, collection hrefs rejected). Exact UID matching also
removes the false positives the old substring filter allowed.
- CalDAV PROPFIND single-event path now uses the existing indexed
get_event_by_ical_uid instead of listing all events.
- Honour the already-documented limit/offset query params on
GET /api/address-books/{id}/contacts: optional ListQuery fields
thread through ContactUseCase::list_contacts to a paginated repo
query. Omitted params keep returning the full book (frontend and
DAV listing/sync paths unchanged).
https://claude.ai/code/session_0193Hff42gaA962wThxMGSd1
The five FileLifecycleHook call sites handed dto.etag (format
"{blob_hash[..16]}-{modified_at}") to the blob_hash parameter. Blob
lookups keyed by that value can never resolve, so background thumbnail
generation and audio metadata extraction silently failed on every
upload/copy/update, pushing all thumbnail work onto the request path.
Pass dto.content_hash — the raw full BLAKE3 hash already carried by
FileDto — instead.
https://claude.ai/code/session_01QxwJDHqQhbMkHK333QtMme
Resolves the four-file conflict with PR #444, which landed a parallel
implementation of the same batch-fsync design (unsynced chunk writes plus
one sync_blobs durability barrier). Both sides converged on identical
trait signatures; main's version is kept for all overlapping code since
it is already merged and carries unit tests:
- blob_storage_ports.rs: doc-comment-only conflict, main's docs kept
- dedup_service.rs: main's pipeline kept. The naive textual merge would
have retained BOTH durability-barrier/INSERT blocks, double-counting
ref_count for every new chunk; the duplicated block from this branch
is dropped
- encrypted_blob_backend.rs, local_blob_backend.rs: main's
implementations kept (fsync_paths_parallel + tests); this branch's
equivalent helpers (fsync_dir, fsync_blob_file, SYNC_BLOBS_CONCURRENCY)
are referenced nowhere else and are dropped
Everything unique to this branch (streaming PROPFIND, range requests,
batch ID resolution, CalDAV/CardDAV indexed lookups, transcode and
breadcrumb changes) merges cleanly and is unchanged.
https://claude.ai/code/session_01GpprjxjtXFYLfXNkoKnHuL
Creating a grant for a group dispatched the notification emails one at
a time inside the HTTP request — 30 members × ~500 ms of SMTP ≈ 15 s
holding the POST /api/grants response (the code carried a TODO
acknowledging it).
Dispatches are independent (coalescing and rate-limiting key on the
(granter, recipient) pair, distinct per member), so run them through
`buffered(6)`: ~6× less wall time for group fan-outs while capping
parallel SMTP sessions, with outcome order still matching member order.
https://claude.ai/code/session_01Dp3oWon5GBMVn4j3QXZdgx
The CDC chunk path paid `sync_all` + parent-dir fsync + one ref-count
upsert round-trip PER ~256 KB chunk: a new 1 GB file ≈ 8 000 fsyncs +
4 000 sequential INSERTs on the upload critical path (seconds on SSD,
tens of seconds on HDD).
- New `put_blob_from_bytes_unsynced` + `sync_blobs` on
BlobStorageBackend. Defaults delegate to the durable variants, so
remote backends (S3/Azure — durable on PUT) are untouched.
LocalBlobBackend writes chunks without fsync and `sync_blobs` then
fsyncs all files concurrently (kernel coalesces the writeback) plus
one fsync per DISTINCT shard directory — at most 256 — instead of one
per chunk. EncryptedBlobBackend delegates both so encryption over the
local backend keeps the optimization.
- store_chunks: uploads use the unsynced variant; one `sync_blobs`
barrier runs before anything references the chunks, and the per-chunk
ref-count upserts collapse into a single
`INSERT ... SELECT unnest(...) ON CONFLICT` statement.
Durability contract is unchanged: every chunk is on stable storage
before the manifest row that references it commits. A crash mid-upload
leaves chunk files without DB rows — the same orphan class the
per-chunk scheme already produced, just a wider window.
https://claude.ai/code/session_01Dp3oWon5GBMVn4j3QXZdgx
Every CalDAV PUT/GET/DELETE of one .ics loaded the ENTIRE calendar —
every row including its ical_data — and filtered with .find() in Rust,
so importing N events cost O(N²) rows transferred. CardDAV did the exact
same in four places (PROPFIND of one .vcf, PUT existence check, GET,
DELETE), with three JSONB deserializations per discarded contact. The
indexed repo queries (find_event_by_ical_uid, get_contact_by_uid)
existed all along with zero callers.
Wire them end to end: new `get_event_by_ical_uid` /
`get_contact_by_uid` use-case methods (same access checks as
list_events / list_contacts, per the service-layer authz rule) exposed
through the storage ports and adapters, and the seven handler sites now
resolve one row instead of the whole collection.
https://claude.ai/code/session_01Dp3oWon5GBMVn4j3QXZdgx
Every WebDAV / CalDAV / CardDAV request paid one full-row user fetch in
require_internal_user_layer just to read `is_external` (and the NC Basic
Auth middleware repeated it right after its own cache hit). That SELECT
includes the `image` column — a data URI of up to 512 KiB — so a sync
client issuing hundreds of PROPFINDs per minute dragged hundreds of MB
of avatar bytes out of Postgres to evaluate a boolean.
- New `UserFlags { role, is_external, active }` + a repo query selecting
only those three columns (inherent method, mirroring `update_image`).
- `AuthApplicationService::get_user_flags`: moka cache, 30 s TTL,
10k capacity. `change_user_role` / `set_user_active` invalidate
eagerly, so admin changes still apply immediately; anything else is
visible within the TTL — preserving the documented "no token rotation
needed" semantics at a per-request cost of zero DB round-trips when
warm.
- `require_internal_user`, `require_admin_user` and the NC Basic Auth
external check now go through the flags lookup.
https://claude.ai/code/session_01Dp3oWon5GBMVn4j3QXZdgx
Resolving the stable numeric oc:fileid for every child in a NextCloud
listing issued one `INSERT ... ON CONFLICT DO UPDATE` per entry — a write
(row rewrite + WAL + dead tuple) even when the mapping already existed.
A Depth:1 PROPFIND of a folder with N children meant N sequential write
round-trips on a read-only operation that sync clients repeat constantly.
- Repository: replace the single `get_or_create` (DO UPDATE) with
`get_or_create_many` — one idempotent bulk `INSERT ... SELECT unnest(...)
ON CONFLICT DO NOTHING` (existing rows untouched) plus a single
`SELECT ... WHERE object_id = ANY(...)`. Two statements instead of N.
- Service: add an Arc-backed moka cache (uuid -> i64; the mapping is
immutable, so warm entries never go stale) and batch APIs
`get_or_create_file_ids` / `get_or_create_folder_ids` that only query
the misses. Warm listings cost zero queries.
- Handlers (PROPFIND, REPORT favorites/search, trashbin, OCS unified
search): pre-resolve all ids in two batched queries — file and folder
run concurrently via `tokio::join!` — and turn the XML/JSON emission
into a synchronous map lookup.
https://claude.ai/code/session_01Dp3oWon5GBMVn4j3QXZdgx
GET /api/auth/me ran a synchronous O(N) SUM(size) over all the user's
files plus an unconditional UPDATE of auth.users on every call — one of
the most frequently hit endpoints — adding per-request latency, DB write
load, dead tuples and WAL even when nothing changed.
- /api/auth/me now serves the cached storage_used_bytes column instead of
recomputing it inline.
- New StorageUsageService::start_reconciliation_job runs a periodic sweep
on the maintenance pool that keeps the cached value current for every
mutation (uploads, deletes, trash), so freshness no longer depends on
hitting /me. Interval via OXICLOUD_STORAGE_USAGE_RECONCILE_SECS (default
600s, floored at 30s; first sweep deferred one interval to avoid boot load).
- update_storage_usage only writes when the value actually changes
(IS DISTINCT FROM), so the sweep produces no dead tuple / WAL on no-ops.
- New covering partial index idx_files_user_size_active makes the usage
SUM an index-only scan instead of a heap scan over all the user's files.
Also collapse the same pre-existing clippy collapsible_else_if in
carddav_handler that blocks the -D warnings gate on this base.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Large uploads (e.g. ~800 MB ISOs) could OOMKill the process, even on
dedup hits, due to three separate full-file-in-memory paths:
- NextCloud PUT (/remote.php/dav) buffered the entire body in RAM via
body::to_bytes before any dedup logic, then re-wrote and re-hashed it.
Now streams the body to a temp file with incremental BLAKE3 and goes
through update_file_streaming (shared spool helper with the native
WebDAV PUT handler); peak heap is ~one HTTP frame regardless of size.
- DedupService::store_chunks materialized every new chunk's data in a Vec
before uploading. Now reads each new chunk by positioned I/O
(read_exact_at, off the runtime via spawn_blocking) just before its
upload; peak heap bounded to ~CHUNK_UPLOAD_CONCURRENCY x CDC_MAX_CHUNK.
- The upload spool used the OS temp dir, often tmpfs/RAM in containers
where its page-cache counts against the cgroup memory limit. Add
OXICLOUD_UPLOAD_TMPDIR to point the spool at real disk.
Also collapse a pre-existing clippy collapsible_else_if in carddav_handler.
Refs #404
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- add coalesced protection to avoid mail bombing if an invited goes many grant in a short period
- add resentd method in share menu item (work for both internal and external users)
- user can disable email notification via his properties
- add env variable from admin to disable notifications
- OIDC JIT define the locale only at user creation, user can so change his preference later
- invited users will inherit inviter's locale
- email will use prefered_locale
- login to a new browser will use prefered_locale
Claude