Process-level workers plateaued at ~7.5 uploads/sec against Fastly Object
Storage because each PUT is high-latency and only a handful ran concurrently.
Add --concurrency=N which uses the AWS SDK CommandPool to keep N PutObject
requests in flight from a single process. A successful PutObject response is
the confirmation (no separate HEAD verify), and the local file is deleted on
success. Commands are yielded lazily so memory stays flat over large runs.
--no-acl escape hatch for S3-compatible stores that reject the ACL header.
- Live 'up/s' rate shown on the progress bar during single-worker runs
- Final summary reports elapsed time and uploads/sec
- Parallel runs tally moved across workers and report aggregate uploads/sec
Makes it easy to compare --workers counts and decide whether async S3
(option 2) is worth pursuing.
The migration was ~1-2s/file due to sequential S3 round-trips (HEAD + PUT +
verify HEAD). Speed it up:
- --workers=N spawns N child processes, each handling a strided slice of the
files (index % N == shard) for real concurrency on the I/O-bound uploads
- --skip-cloud-check skips the upfront HEAD (always upload, idempotent)
- --skip-verify skips the post-upload size re-check
- --offset for manual chunking
Storage/Flysystem has no batch or async upload API, so process-level
concurrency is the pragmatic lever here.
The frontend renders a hardcoded /storage/emoji/missing.png local onerror
fallback for emoji, so that placeholder must stay on local disk. Skip it in
the migration so it is never moved to cloud or deleted locally.
The migration was DB-driven (whereNull('uri')), which excluded federated
emoji whose media is stored locally but have a uri set -> the disk was never
scanned, resulting in moved=0.
- Drive the migration by enumerating local files under public/emoji/ instead
of a DB query; the local file is the source of truth for what needs moving
- Add --debug to print config, custom_emoji table breakdown, local emoji dir
contents, and per-file decisions
Two issues prevented emoji from serving/migrating correctly on cloud:
- Admin custom-emoji views hardcoded url('storage/'.media_path), so they
always showed local URLs and bypassed cloud resolution. Use $emoji->url().
- The migration/command guard relied solely on config_cache('pixelfed.cloud_storage'),
which is DB/12h-cached and can read stale-false right after cloud is
enabled, causing the migration to silently no-op. Treat cloud as enabled
when either live config() or config_cache() is true.
Change --limit default to 0 (no limit) so the emoji migration processes
every local emoji in a single run instead of capping at 1000, and drop the
limit from the scheduled invocation. Avoids a multi-run window where
not-yet-migrated emoji resolve to missing cloud URLs.
Custom emoji were always written locally and served via hardcoded /storage
URLs, so they never used S3 even on cloud instances.
- CustomEmoji: centralize URL + storage on the active disk (cloud when
pixelfed.cloud_storage is enabled, else local public/ disk) via
urlForPath/url/storageTarget/storeMedia/storeMediaFromFile/deleteMedia
- Route emoji writes/deletes and URL generation (scan, CustomEmojiService::all)
through those helpers in ImportEmojis, CustomEmojiService::import and
AdminController
- Add admin:EmojiMoveStorageLocalToCloud to migrate existing local emoji to
cloud: copy, verify by size, delete local, bust caches
- Schedule it daily when cloud storage is enabled
Shlee
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