4 Commits

Include renames

Author	SHA1	Message	Date
Eliah RusinandChris Lu	cfa8afec92	filer: guard FoundationDB 100KB value limit and pack earlier (#11161) ... * filer: guard the FoundationDB value size limit, not the transaction limit An entry's whole chunk list is one FoundationDB value, and FDB caps a value at 100,000 bytes while a transaction may reach 10MB. UpdateEntry checked the transaction limit, so every entry between the two limits passed the guard and was rejected by FDB itself with error 2103 (Value length exceeds limit). The failure surfaced inside the store rather than at the guard, so the S3 layer dropped the connection and clients saw a network fault instead of an error. Check the value limit in UpdateEntry and KvPut instead, after gzip and before the transaction, with an error that names the limit it hit. The removed transaction-size constant guarded nothing else: DeleteFolderChildren batches by entry count. Refs #11158 * filer: fold at 500 chunks in the foundationdb build Manifest packing is what keeps a large file's entry small, but it only ran once a flat chunk list reached 10000 chunks. A FoundationDB value stops at 100,000 bytes and an entry's whole chunk list is one value, which at ~100 bytes per chunk record is about 1000 chunks -- so on FDB the write always failed before packing could help: a 3.3 GiB PutObject at the default -maxMB=4 was already past the limit. FoundationDB support is its own build (`go build -tags foundationdb`, shipped as its own image), so the batch is a build-time choice and needs no negotiation at run time. The tagged build folds at 500, every other build keeps 10000 and is untouched. 500 is not arbitrary: a single fold level leaves (chunks/batch) manifest pointers plus up to (batch-1) unfolded chunks in the entry, so the reachable chunk count is highest when the two terms are near equal. For a 100,000-byte budget that optimum is 500, which holds an entry inside the limit up to ~250,000 chunks -- ~1 TB at -maxMB=4, against ~4 GB before. Larger files need nested packing, which no batch size substitutes for. One binary serves every role in that image, so the filer and each client that folds -- S3, mount, WebDAV, weed shell, filer.copy -- agree on the batch by construction. A binary built with the tag but pointed at another store folds earlier than that store requires, costing one manifest blob per 500 chunks and one read to resolve it. Fixes #11158 * filer: fold with rollback inside MaybeManifestize, not beside it A fold that fails midway has already uploaded manifest blobs for its earlier batches, and returns only the data chunks -- dropping the manifests it had separated out of the caller's list. Both were wrong in ways that mattered: - AppendToEntry assigned that shortened list straight to entry.Chunks and created the entry, so an append to an already-folded file whose fold failed lost every previously folded chunk. weed mount had the same shape. - cleanupChunks logged the error as "not good, but should be ok" and then returned it through a named result, failing the whole CreateEntry or UpdateEntry, while the blobs it had written stayed behind referenced by nothing. The S3 path was alone in handling this, through a private helper beside MaybeManifestize. A second entry point next to the one everything else calls just means the wrong one gets used, so the behaviour moves inside MaybeManifestize: on failure it returns inputChunks as it received them, and hands the blobs it saved to a deleteChunks callback. The filer, S3 and filer.copy pass their existing deleters -- filer.copy already cleans up this way after a failed upload -- and mount, WebDAV and weed shell pass nil, which reports the blobs rather than collecting them, as before. Each caller keeps its own error policy: the filer HTTP PUT path and filer.copy still fail the request, the rest still continue with the flat list, which is a correct entry. --------- Co-authored-by: Chris Lu <chris.lu@gmail.com>	2026-09-04 23:12:27 -07:00
Chris Luandbruce-zzz	0f05957bc4	filer: self-heal chunk manifest reads when volume locations go stale (#11107) ... * filer: self-heal fetchWholeChunk on stale volume locations Upstream #10156/#10800 wired cache invalidation into the buffer-based read paths, but manifest resolution still goes through fetchWholeChunk, which returns the raw error on failure. When cached volume locations are stale (volume tiered to remote storage, server rolled), resolving a large multipart file fails permanently even though other locations are healthy. Thread the ChunkGroup's cacheInvalidator through ResolveChunkManifest / ResolveOneChunkManifest / fetchWholeChunk, and on failure invalidate, re-lookup and retry once via the existing retryFetchWithFreshLocations helper. The streaming bytesBuffer is reset before the retry so partial bytes from the failed attempt cannot corrupt the manifest proto.Unmarshal. Non-mount callers pass nil and keep their semantics. * filer: move the manifest self-heal tests in with the other manifest tests Also make the stale server stream a prefix and then abort mid-body, which is what actually leaves partial bytes in the buffer: an HTTP error status returns before ReadUrlAsStream ever calls the writer, so a 500 never exercised the Reset the tests claimed to cover. Claude-Session: https://claude.ai/code/session_01FK3oGC5ZVeJYvNBWgb9JUD * filer: keep the cached volume locations when a manifest read is cancelled A cancelled or timed-out read says nothing about where the volume lives, so dropping the location and going back to the master only costs the next reader a round trip. PrepareStreamContentWithThrottler already guards its self-heal this way. The guard also goes inside retryFetchWithFreshLocations, since the caller can be cancelled between its own check and the invalidation, and that covers the reader cache and prefetch paths too. fetchWholeChunk returns the context error rather than the stream failure it provoked, and ResolveOneChunkManifest wraps with %w so errors.Is still sees it. That matters even where no invalidator is passed: volume.fsck resolves manifests with nil and tells its own abort from a corrupt manifest that way, so the cancellation check sits ahead of the nil-invalidator return. Claude-Session: https://claude.ai/code/session_01FK3oGC5ZVeJYvNBWgb9JUD * filer: self-heal manifest reads on the filer and s3 paths too Every caller that already holds the location cache backing its lookup function can hand it over: the filer's read, copy and deletion paths and the log cache have the MasterClient right there, and s3api has the FilerClient. MinusChunks takes one for the same reason, since the deletion path resolves manifests through it. Only the shell tools and the replication sinks, whose lookup functions cache privately with nothing to invalidate, keep passing nil. Claude-Session: https://claude.ai/code/session_01FK3oGC5ZVeJYvNBWgb9JUD --------- Co-authored-by: bruce-zzz <bruce.zou@hhy-data.com>	2026-09-02 17:43:46 -07:00
Chris Lu	68a4e3347f	S3: track manifest blob ownership through multipart completion (#10386) ... * s3: track manifest blob ownership through multipart completion Manifest blobs made three orphan paths. A partial fold that failed midway kept its earlier batches on volume servers while the write fell back to flat chunks; the fold now records each saved blob and deletes them on error. A completion that failed after preparing left its fresh manifests behind on every retry; the completion state now owns them and deletes them unless a failed rollback left the version entry still holding them. And a completed upload removes its parts metadata-only, which stranded the part-manifest blobs superseded by flattening; those are collected during flattening and deleted once the completion commits. Two shared-chunk hazards nearby: the version-file rollback deleted its data, destroying the still-registered parts (worse once manifests resolve to inner chunks), and the idempotent-replay cleanup data-deleted leftover parts whose chunks the live object references. Both are metadata-only now. * s3: trim chunk manifest comments * s3: test manifest fold rollback and part range selection The fold-with-rollback and the boundary-to-byte-range logic were only exercised by hand against a live server; give both an injectable seam and cover the fold, the below-threshold and SSE no-ops, the midway failure deleting the blobs it saved, and offset-vs-legacy-index range selection including indexes that no longer address the chunk list.	2026-07-21 08:59:40 -07:00
Chris Lu	542495f1f1	S3: fold large chunk lists into manifest chunks on the direct write path (#10383) ... s3: fold large chunk lists into manifest chunks on the direct write path The S3 gateway uploads chunks itself and hands the filer a fully prepared entry. On the routed write path (ObjectTransaction) the filer stores that entry as-is, so a large PutObject or CompleteMultipartUpload persisted its whole flat chunk list - a 900GB object carries 120k chunk references in one entry. Manifestize on the gateway before the entry is written, the same way mount, WebDAV, and filer.copy prepare theirs. Multipart part boundaries also record byte offsets now: the stored chunk indexes stop matching the entry once the list is folded, and partNumber reads plus GetObjectAttributes prefer the offsets. Legacy index-only records still work, with bounds checks instead of a possible panic. Copy paths resolve a manifested source into data chunks before their per-chunk copy loops - copying a manifest chunk raw would store its blob as object data still pointing at the source - and a large copied list is folded again on the destination. Completion likewise resolves manifest chunks a part entry may carry (the filer folds an oversized UploadPartCopy range) before rebasing part offsets.	2026-07-21 00:08:05 -07:00