* remote storage: carry Content-Encoding into mounted entries
A RemoteEntry now records the remote object's Content-Encoding, and every
path that materializes a local entry from remote metadata (lazy fetch, lazy
listing, remote.mount, remote.meta.sync, remote.cache) stamps it into the
entry extended attributes, so HTTP and S3 HeadObject/GetObject return the
header. GCS and Azure populate it on listing and stat; S3 only exposes it
via HeadObject, so listings leave it empty.
* remote storage: set Content-Encoding when uploading to the remote
An entry carrying Content-Encoding in its extended attributes (a native S3
upload, or a value pulled from the remote) now keeps it when
filer.remote.sync or remote.copy.local writes the object to GCS, S3, or
Azure, instead of silently dropping it.
* gcs: read remote objects without decompressive transcoding
GCS transparently decompresses gzip-encoded objects on download, which
ignores range requests and returns byte counts that disagree with the
tracked RemoteSize. Request the stored bytes instead; chunked reads of
gzip-encoded objects then behave like any other object.
* remote storage: track Content-Encoding presence so removals propagate
A listing that does not report encodings (S3) leaves the field unset and
the local header untouched, while an authoritative report of no encoding
(GCS, Azure, any stat) now clears a previously stamped header instead of
leaving it stale. remote.cache also schedules a metadata update when only
the reported encoding changes.
* remote storage: propagate Content-Encoding on metadata-only updates
filer.remote.sync routes same-content changes through UpdateFileMetadata,
which only touched custom metadata (GCS, Azure) or tags (S3), so a
Content-Encoding change in the extended attributes never reached the
remote object's real header. GCS now patches contentEncoding alongside
the metadata, and Azure reissues the blob's HTTP headers with the new
value, carrying the others over since the call replaces the full set.
S3 stays tags-only: changing the header there means rewriting the
object, which the sync already does whenever content changes.
* remote.meta.sync: optional per-file stat for listing-omitted metadata
S3 listings carry no Content-Encoding, so entries synced from them never
learn it and the lazy-stat path never runs once an entry exists. With
-statFiles, each new or changed file whose listing left the encoding
unreported is stat-ed before reconciling, and the stat-derived value is
persisted so the next run only stats files that changed. Off by default:
it costs one remote request per file, and GCS and Azure listings already
carry the encoding.
* s3: apply metadata-only Content-Encoding changes with an in-place copy
Content-Encoding is S3 system metadata, so the tags-only metadata update
silently left the object's real header untouched. When the encoding
differs, reissue the object as a self-copy with replaced metadata,
carrying the content type and configured storage class like a fresh
write does. CopyObject caps at 5 GiB; beyond that the change is logged
and applies on the next content write.
* azure: skip the metadata call when user metadata is unchanged
An encoding-only change reissues the blob's HTTP headers; sending the
unchanged user metadata alongside it wastes a round trip and bumps the
blob's ETag once more than needed.
* s3: carry existing object metadata through the encoding copy
The replace directive drops everything not resent, and a mounted entry
usually has no local mime or user metadata, so the in-place copy wiped
the object's Content-Type, Cache-Control, user metadata, encryption
settings, and storage class. Read them back with a HeadObject first and
carry them over, overriding only what SeaweedFS manages: the encoding,
a locally set mime, and the configured storage class. S3 reports
Expires as a string while the copy input wants a time, so it is parsed
and skipped when malformed.
* improve large file sync throughput for remote.cache and filer.sync
Three main throughput improvements:
1. Adaptive chunk sizing for remote.cache: targets ~32 chunks per file
instead of always starting at 5MB. A 500MB file now uses ~16MB chunks
(32 chunks) instead of 5MB chunks (100 chunks), reducing per-chunk
overhead (volume assign, gRPC call, needle write) by 3x.
2. Configurable concurrency at every layer:
- remote.cache chunk concurrency: -chunkConcurrency flag (default 8)
- remote.cache S3 download concurrency: -downloadConcurrency flag
(default raised from 1 to 5 per chunk)
- filer.sync chunk concurrency: -chunkConcurrency flag (default 32)
3. S3 multipart download concurrency raised from 1 to 5: the S3 manager
downloader was using Concurrency=1, serializing all part downloads
within each chunk. This alone can 5x per-chunk download speed.
The concurrency values flow through the gRPC request chain:
shell command → CacheRemoteObjectToLocalClusterRequest →
FetchAndWriteNeedleRequest → S3 downloader
Zero values in the request mean "use server defaults", maintaining
full backward compatibility with existing callers.
Ref #8481
* fix: use full maxMB for chunk size cap and remove loop guard
Address review feedback:
- Use full maxMB instead of maxMB/2 for maxChunkSize to avoid
unnecessarily limiting chunk size for very large files.
- Remove chunkSize < maxChunkSize guard from the safety loop so it
can always grow past maxChunkSize when needed to stay under 1000
chunks (e.g., extremely large files with small maxMB).
* address review feedback: help text, validation, naming, docs
- Fix help text for -chunkConcurrency and -downloadConcurrency flags
to say "0 = server default" instead of advertising specific numeric
defaults that could drift from the server implementation.
- Validate chunkConcurrency and downloadConcurrency are within int32
range before narrowing, returning a user-facing error if out of range.
- Rename ReadRemoteErr to readRemoteErr to follow Go naming conventions.
- Add doc comment to SetChunkConcurrency noting it must be called
during initialization before replication goroutines start.
- Replace doubling loop in chunk size safety check with direct
ceil(remoteSize/1000) computation to guarantee the 1000-chunk cap.
* address Copilot review: clamp concurrency, fix chunk count, clarify proto docs
- Use ceiling division for chunk count check to avoid overcounting
when file size is an exact multiple of chunk size.
- Clamp chunkConcurrency (max 1024) and downloadConcurrency (max 1024
at filer, max 64 at volume server) to prevent excessive goroutines.
- Always use ReadFileWithConcurrency when the client supports it,
falling back to the implementation's default when value is 0.
- Clarify proto comments that download_concurrency only applies when
the remote storage client supports it (currently S3).
- Include specific server defaults in help text (e.g., "0 = server
default 8") so users see the actual values in -h output.
* fix data race on executionErr and use %w for error wrapping
- Protect concurrent writes to executionErr in remote.cache worker
goroutines with a sync.Mutex to eliminate the data race.
- Use %w instead of %v in volume_grpc_remote.go error formatting
to preserve the error chain for errors.Is/errors.As callers.
* s3: fix remote object not caching
* s3: address review comments for remote object caching
- Fix leading slash in object name by using strings.TrimPrefix
- Return cached entry from CacheRemoteObjectToLocalCluster to get updated local chunk locations
- Reuse existing helper function instead of inline gRPC call
* s3/filer: add singleflight deduplication for remote object caching
- Add singleflight.Group to FilerServer to deduplicate concurrent cache operations
- Wrap CacheRemoteObjectToLocalCluster with singleflight to ensure only one
caching operation runs per object when multiple clients request the same file
- Add early-return check for already-cached objects
- S3 API calls filer gRPC with timeout and graceful fallback on error
- Clear negative bucket cache when bucket is created via weed shell
- Add integration tests for remote cache with singleflight deduplication
This benefits all clients (S3, HTTP, Hadoop) accessing remote-mounted objects
by preventing redundant cache operations and improving concurrent access performance.
Fixes: https://github.com/seaweedfs/seaweedfs/discussions/7599
* fix: data race in concurrent remote object caching
- Add mutex to protect chunks slice from concurrent append
- Add mutex to protect fetchAndWriteErr from concurrent read/write
- Fix incorrect error check (was checking assignResult.Error instead of parseErr)
- Rename inner variable to avoid shadowing fetchAndWriteErr
* fix: address code review comments
- Remove duplicate remote caching block in GetObjectHandler, keep only singleflight version
- Add mutex protection for concurrent chunk slice and error access (data race fix)
- Use lazy initialization for S3 client in tests to avoid panic during package load
- Fix markdown linting: add language specifier to code fence, blank lines around tables
- Add 'all' target to Makefile as alias for test-with-server
- Remove unused 'util' import
* style: remove emojis from test files
* fix: add defensive checks and sort chunks by offset
- Add nil check and type assertion check for singleflight result
- Sort chunks by offset after concurrent fetching to maintain file order
* fix: improve test diagnostics and path normalization
- runWeedShell now returns error for better test diagnostics
- Add all targets to .PHONY in Makefile (logs-primary, logs-remote, health)
- Strip leading slash from normalizedObject to avoid double slashes in path
---------
Co-authored-by: chrislu <chris.lu@gmail.com>
Co-authored-by: Chris Lu <chrislusf@users.noreply.github.com>
Chris Lu