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eef6f3d1e6412fa4433c9a9973776c5623176ba5
14780
Commits
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eef6f3d1e6 |
s3tables: add the maintenance configuration APIs (#10773)
* s3tables: add the maintenance configuration APIs Stores the configuration verbatim as the wire shape under a new s3tables.maintenance extended attribute, so Get hands back what Put took and no translation layer can drift from the AWS model. Nothing reads the configuration yet. Put merges a single type into the stored map so configuring compaction does not drop snapshot management, and asserts the attribute's prior value so two concurrent Puts cannot silently clobber each other. * iceberg: apply the maintenance configuration in the worker The worker now reads the per-table and per-bucket maintenance configuration written by the control plane, so the wildcard plugin config is a default rather than the only setting a table can have. Table properties still win by default, since a table declaring its own layout is what every engine honours and the compactor has to agree with whoever writes the files. Clearing table_properties_override makes the maintenance configuration authoritative instead. Status is not part of that contest: a disabled type drops its operations and no property can re-enable them, so the operator's kill switch always holds. Manifest and delete-file rewrites have no AWS equivalent and ride with compaction. Detection reads both attributes from entries it already lists. * s3tables: report maintenance job status The worker records the outcome of each run in its own extended attribute, separate from the configuration so operator and worker writes do not contend, and GetTableMaintenanceJobStatus reads it back. Only the types a run touched are written, so a partial run cannot erase what an earlier one recorded. The reader fills in the rest: Disabled when the configuration switched a type off, Not_Yet_Run otherwise. Status is advisory, so a lost race is logged rather than failing a job whose work already committed. * s3tables: route the maintenance APIs over REST The five actions were only reachable by X-Amz-Target dispatch, which the AWS CLI and SDK do not use for this service. They address the operations by path, so the APIs were unreachable from any official client. * s3tables: fix the table bucket ARN field name GetTableBucketMaintenanceConfiguration emitted tableBucketArn where the wire field is tableBucketARN, as every other response in this package already spells it. Official SDK deserializers ignore the unknown key, so the required field came back unset. * s3tables: carry the compaction strategy through to the worker IcebergCompactionSettings modelled only targetFileSizeMB, so a request naming a strategy was accepted and then dropped on the way to storage. The worker now maps binpack and sort onto its own rewrite strategy and lets auto defer to the worker configuration. z-order is rejected rather than accepted and quietly binpacked. * s3tables: report bucket-level maintenance status GetTableMaintenanceJobStatus read only the table's configuration, so unreferenced file removal — which is configured on the bucket — reported Not_Yet_Run or a stale success after an operator disabled it. The merge helper now lives in this package and the worker shares it. * iceberg: delete orphans only after the non-current window AWS marks a file non-current once it has been unreferenced for unreferencedDays, then deletes it a further nonCurrentDays later. The cutoff was taken from unreferencedDays alone, so a 3/10 configuration hard-deleted on day three and threw away the ten day recovery window. remove_orphans deletes in one step rather than marking, so the cutoff is now the sum of the two. * s3tables: assert every attribute when rewriting an entry UpdateEntry writes the whole entry back from the snapshot the caller read, and its precondition only covers the keys the caller names. Both maintenance writers named one key, so a job status write could revert a maintenance configuration an operator had just disabled, turning an advisory write into a silent re-enable. Both now assert the entry's full attribute set, including the target key when absent so a concurrent create also fails the precondition. * s3tables: assert absent attributes when rewriting an entry The precondition covered the attributes present when the writer read the entry, so an attribute created between that read and the write was absent from it. A first-time PutTableMaintenanceConfiguration disabling a type therefore lands, passes the per-key checks, and is then deleted by the stale whole-entry write. Every attribute this package stores is now asserted, absent ones included. The metadata commit and planning index writers rewrite the same entries and had the same exposure, so both use the shared snapshot too. * iceberg: implement the auto compaction strategy auto was accepted, stored and read back, but left the worker on its own default, so a sorted table configured as auto was compacted with binpack. AWS defines auto as sorting tables that declare a sort order and bin-packing the rest. That needs the table metadata, so the choice is made where the rewrite plan is resolved: an unsorted table falls back to binpack rather than failing the way an explicit sort request does. * s3tables: validate the maintenance setting ranges PUT accepted zero, negative and oversized values for every numeric setting. The worker then ignores a non-positive value and saturates an oversized one, so the configuration read back was not the one that ran. AWS bounds all five to 1..2147483647, which is now enforced. The fields are pointers so an explicit zero is distinguishable from an omitted one and can be rejected rather than silently ignored. * s3tables: give every entry writer the same compare-and-swap updateExtendedAttribute asserted the entry's attributes, but the helpers behind the metadata, policy and tag handlers still wrote the whole entry unconditionally. Any of them could land on a stale snapshot and delete a maintenance configuration an operator had just written. They all share one read-modify-write loop now, so the precondition and the bounded retry apply wherever an entry is rewritten. * s3tables: move the maintenance configuration with a renamed table RenameTable carried the metadata, version, policy and tags to the new name but left the maintenance configuration and job status behind. A table with snapshot management disabled came back enabled under its new name, and the stale configuration stayed on the old name where a table created there would inherit it. The decoupled-delete cleanup left the same two attributes behind. * s3tables: accept every AWS partition in ARNs The route regexes and the ARN patterns both hardcoded arn:aws, so valid aws-cn and aws-us-gov ARNs never reached a handler. The router now shares the partition-tolerant prefix with the parser, and a generated ARN uses the partition its region belongs to so it parses back. * s3tables: generate ARNs in the region's partition The handler's own ARN generators still formatted arn:aws directly rather than going through the partition-aware builder, so a China or GovCloud deployment routed the request but then returned a commercial ARN and matched IAM policies against it. The round-trip test missed this because parsing accepts any partition, so it now asserts the prefix the region implies. * s3tables: complete the ARN partition table aws-iso-e, aws-iso-f and aws-eusc were missing, so eu-isoe-*, us-isof-* and eusc-* regions fell through to the commercial partition. * s3tables: do not let a rename swallow a concurrent maintenance write Rename copied the source attributes early and cleared the source at the end, so a Put landing in between missed the copy to the destination and was then deleted by the cleanup. It succeeded and vanished. The cleanup now clears the source only while it still holds exactly what was copied, and returns a conflict otherwise. Put checks the catalog identity inside the same conditional mutation, so it also cannot write to a name that a rename or delete has already soft-deleted. |
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a1d3fe236f |
iceberg: let table properties override the worker config (#10772)
* iceberg: carry snapshot retention in milliseconds Config stored retention as hours, so any sub-hour value would have to be truncated to 0 and then clamped back up to the 168 hour default. Keep the plugin config key in hours and convert once at parse time. * iceberg: let table properties override the worker config Every other Iceberg implementation lets a table's own properties win over engine defaults; the worker ignored them entirely. A writer honouring write.target-file-size-bytes and a compactor rewriting to the plugin config's size would rewrite each other's output forever. Resolved once per job rather than per operation, so compaction committing new metadata mid-job cannot change the settings underneath it. * iceberg: clamp the orphan cutoff so it cannot overflow collectOrphanCandidates converts the cutoff to a time.Duration. Past roughly 2.5 million hours that multiplication wraps negative, putting the cutoff in the future so every file walked looks like an orphan and gets deleted, including data a concurrent writer has not yet committed. Reachable today through orphan_older_than_hours. |
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4c40ec3a9e |
master: align default volume size with EC rows (#10761)
Co-authored-by: joe <joe@gmail.com> |
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b45f8314c5 |
ec.encode: require the shards to agree on size before deleting the volume (#10769)
* ec.encode: require the shards to agree on size before deleting the volume Before an encode deletes the volume it just encoded, it asks whether enough shards exist and whether they are spread across nodes. Both are questions about presence: nothing asks whether those shards are whole. Every shard takes one piece of each block row, so they are all written to the same length. One that disagrees was truncated, half copied, or landed on a disk that filled up -- and counting cannot see it, so the source volume is deleted on the strength of a set that cannot rebuild it. Compare the sizes the cluster already reports (shard_sizes travels in the heartbeat) and hold the deletion back when they disagree, naming the odd shard and its holder. Sizes reported as zero are skipped rather than read as a disagreement: a volume server that predates shard-size reporting, or one that has not heartbeated them yet, must not strand every encode in the volume-plus-shards state this check exists to avoid. * ec.encode: judge shard sizes on the newest encode generation only The size check collected every shard the master reports for the volume, while the recoverability check beside it counts only the newest encode generation. A re-encode can change the ratio, so an orphaned older generation -- one the pre-encode sweep could not reach, but the master still hears about -- has shards of a different length by nature. Merging those into the comparison makes a healthy current set look inconsistent, and because the orphan keeps being reported, every retry fails and the encode is left holding the volume and its shards for good. Collect sizes the way CollectEcShardBitsByNode collects bits: fenced to the newest EncodeTsNs, with unstamped entries forming the one legacy generation. |
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76a1983c86 |
test: re-lock and retry every chaos command, not just the balance (#10770)
The harness kills shells mid-command, and the master releases the dead session's lock only when it notices the connection is gone. That cleanup lands after the harness has already re-acquired the lock, so it can clear the lock this run holds and the next command refuses with need to run "lock" first to continue recoverInterruptedBalance answered that the way an operator would -- run lock again and retry -- but the encode and decode recoveries called shellCommand once and required success, so the same reap failed the run outright. Move the retry into shellCommand: the reap can land during any command that follows a kill, not only a balance. |
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fbd85d31b0 |
ec.decode: check the rebuilt .dat is complete before the shards can be deleted (#10768)
A decode ends by deleting the shards it read, and the only thing standing between that and a bad reconstruction is verifyDecodedVolumeBeforeDelete, which asks whether .dat and .idx are non-empty. A .dat truncated to a single byte passes, and the shards -- the only other copy of everything past the cut -- are deleted on the strength of it. The server already knows the answer it never checks: FindDatFileSize returns the extent the EC index references, and WriteDatFile rebuilds to it. Compare the two once the file is written and fail the decode instead of reporting a short volume as a good one. Longer than the extent still verifies -- padding is not missing data -- so only a genuinely short rebuild is rejected. Needle counts cannot answer this: .idx is written from .ecx, so the count matches by construction and a truncated .dat still reports every needle. |
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829064af71 |
ec.decode: finish the cleanup an interrupted decode left behind (#10767)
A decode deletes the shards only after the regenerated volume is mounted and verified, so a run interrupted in that last phase leaves the volume in place with its shards partway through deletion. The re-run then finds both, tries to collect the shards again to rebuild a volume that already exists, and fails on the first shard the interrupted run had removed: generate normal volume 3 ...: ec volume 3 missing shard 6 Nothing recovers from there: the shard set is deliberately being destroyed, so every retry fails the same way while the decoded volume sits there, already complete. Finish that cleanup instead. A volume beside the shards is not enough to act on -- an encode interrupted before it deleted the original leaves the same shape, as does a decode killed while generating, whose volume may be half written -- so require a data shard to be gone. Only the deletion phase removes one, and it is also exactly the state no decode can recover from, so finishing is the only move left rather than a choice between two. The deletion still runs behind verifyDecodedVolumeBeforeDelete, the check that guards it in a normal run. |
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97a155d14d |
admin: show capacity per storage tier and stop counting remote-tiered bytes as local disk usage (#10766)
* admin: show capacity per storage tier and stop counting remote-tiered bytes as local disk usage A remote-tiered volume reports its cloud object's size, so summing volume sizes inflated the dashboard's used-vs-capacity numbers (the local .dat is gone after volume.tier.move). Split the accounting: DiskUsage now only counts bytes on local disks, with the cloud bytes surfaced separately per server and per remote storage name. The dashboard gains a Storage Tiers table breaking volumes and EC shards down by tier (each local disk type plus each remote storage), using the per-disk-type statfs numbers already in the VolumeList response. The volumes page badges remote-tiered volumes with their storage name, and the EC shards page fills in real per-shard sizes instead of hardcoding 0. * admin: review fixes for the tier capacity display - A disk that predates disk_total_bytes now contributes its logical bytes to the tier's DiskUsed, so a tier mixing old and new volume servers doesn't underreport usage; the usage bar always reflects the displayed Disk Used value (the DataSize fallback in UsagePercent is gone, and the percent math is overflow-safe). - getTopologyViaGRPC defaults a zero VolumeSizeLimitMb to 30000 MB like GetClusterVolumeServers, keeping slot-based capacities consistent. - The dashboard volume-servers column reads Usage / Capacity to match its cell content, and the hdd disk-type default is shared between the volumes-page badge and countUniqueDiskTypes. |
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1c926e8fac |
test: systematic EC interruption verification — exhaustive model check + deterministic kill matrix (#10764)
* ec: bounded-exhaustive model check of the volume lifecycle The randomized chaos harness samples the state space; this enumerates it. The lifecycle is a state machine whose steps mirror the pipelines in this package, and the checker explores every schedule within the bound: a crash at every step boundary, an error return running the rollback (itself crashable at every step), a volume-server restart applying the startup reconciliation rules in every quiescent state, and the prescribed restart-based recovery from every crashed state. Checked in every reachable state: durability (a readable copy always exists), at most one generation mounted, and — a property the sweep discipline turns out to guarantee — at most one generation's files on disk. From every quiescent state the recovery must converge to a clean volume. Runs in well under a second. * test: deterministic EC interruption matrix Enumerate every phase of every interruptible EC operation and kill a real weed shell exactly when the phase announces itself on the command output, instead of at a random moment: four encode phases, four decode phases, and the balance's move phase (set up with -rebalance=false so a move is guaranteed). Each scenario prepares its precondition, kills at the marker, runs the prescribed recovery, and verifies every stored byte still reads back identical. The interruption recoveries move out of the randomized ops into shared chaosRun helpers both drivers use. * test: make the randomized EC chaos walk opt-in The systematic layers — the interruption matrix and the lifecycle model check — carry the CI coverage deterministically; the randomized walk stays for exploratory runs, behind EC_CHAOS_SEED. * ci: bound the EC integration suite by the job budget, not go test's default The suite with the interruption matrix runs close to the default 10m binary timeout on slower runners. * test: require every interruption-matrix marker to appear A marker that never prints means a pipeline refactor renamed or dropped the progress line; silently degenerating into a no-interruption run would let CI pass without exercising the boundary the scenario names. Also recheck the marker channel after the wait: a shell that prints and exits at once makes both channels ready, and select picking the exit case must not report a printed marker as missed. |
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602746f51d |
test: EC lifecycle chaos harness, with four fixes it found (#10763)
* ec: let the encode's balance see a migrating volume's shards across disk-type buckets Shard generation writes beside the source .dat, so a cross-tier encode (source on hdd, -diskType=ssd) leaves the fresh shards in the source disk-type bucket. The encode's internal balance ingested only the target bucket, saw no shards, and planned no moves; the spread guard then correctly aborted the encode (and before that guard existed, the shards silently stayed clumped on the generation host in the wrong tier). EcBalance now takes the encode batch as migratingVolumeIds and ingests those volumes' shards from every bucket, while everything else keeps the bucket filter so a plain ec.balance never drags deliberately tiered shards onto another disk type. The in-memory model delete also becomes bucket-agnostic: a node holds a given shard in exactly one bucket, and a bucket-scoped delete missed cross-bucket moves in the dry-run model. * volume: decode reads shard 0 from its resolved path, not the EC volume's base dir On a multi-disk server a volume's shards can sit on several disks; the store registers each shard with its own path and CollectEcShards resolves them, but FindDatFileSize derived the .ec00 path from the EcVolume's base directory. When shard 0 lived on a sibling disk, VolumeEcShardsToVolume failed with 'open ...ec00: no such file or directory' and ec.decode aborted. * ec: decode re-copies shards the topology claims but the target does not hold An interrupted earlier decode or balance can leave the master believing the decode target holds a shard whose file never landed: the mount registered but the partial copy was cleaned, or the file was swept. The collect step took the topology's word for it, excluded the shard from the copy set, and the decode failed with 'missing shard'. Probe the target's live inventory (VolumeEcShardsInfo) and treat anything it cannot serve as still-to-copy. * ec: decode discovers shards across disk-type buckets Shards sit wherever encode generation and balance left them: a cross-tier encode leaves them in the source disk-type bucket, a partial migration straddles buckets. ec.decode scoped its shard discovery to the -diskType bucket and reported a decodable volume as having no shards at all. Union across buckets, the way the encode's shard verification already does. * test: EC chaos lifecycle harness Randomized, seeded sequences of the EC lifecycle against a live cluster in the production-shaped layout: multiple data disks per server, a separate -dir.idx directory so .ecx/.ecj sidecars are shared across disks, and a tagged ssd tier. Operations cover encode (hdd and ssd targets), balance, shard damage plus rebuild, decode, re-encode, deletes, scrub, tier moves, crash-restarts, sidecar fault injections (a data-dir .vif pushed into the shared idx dir; a stale-generation shard planted beside a newer encode), and interruptions: a real weed shell subprocess killed mid-encode, mid-decode, and mid-balance, with the recovery re-run required to converge. One invariant holds after every step: every stored byte reads back identical and every deleted needle stays deleted. EC_CHAOS_SEED and EC_CHAOS_STEPS make runs reproducible and scalable. A known gap is tolerated and logged rather than fixed here: a shard mounted on two disks of one node (orphan adoption after an interrupted copy) is invisible to ec.balance's dedup and unaddressable by ec.shard.unmount's shard@address form, so no cleanup path exists yet. * test: fail payload-corruption checks on the test goroutine t.Fatalf inside require.Eventually's condition runs on the poller's goroutine, where Goexit kills only that goroutine and the corruption message can be lost behind a generic timeout. Record the mismatch, end the polling, and fail on the test goroutine. Also assert the full shard count in the cross-bucket decode-discovery test. |
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944d967502 |
refactor: extract EC orchestration into a shared weed/ec package (#10760)
* shell: move ErrorWaitGroup to weed/util * shell: remove unused CandidateEcNode and EcRack types * ec: extract EC orchestration logic from weed/shell into weed/ec Move the EC node/topology model, balance engine, encode pipeline, decode pipeline, and rebuild engine into a new weed/ec package so shell commands and maintenance workers can share the logic. Shell commands keep flag parsing and delegate through a small ec.Env (dial option, topology fetch, volume locations, lock check). Tests move along with the code. * shell: remove unused proportional-rebalance type stubs * ec: move scrub, replication check, and shard unmount engines into weed/ec * worker: share the EC generation-aware shard counter from weed/ec * ec: gofmt * shell: drop EC aliases with no remaining callers * ec: guard a missing topology hook and nil disk entries in topology helpers * ec: drop trailing newlines from decode error strings * ec: re-check the shell lock before applying shard unmounts * shell: trim -node entries in ec.scrub |
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f66d6ffc4a |
s3: option to disable bucket auto-creation on upload (#10759)
* s3: add option to disable bucket auto-creation on upload * command: expose -autoCreateBucket in s3, filer, server, and mini * s3: apply the bucket auto-create policy to directory marker uploads * s3: validate the bucket name before the auto-create disabled check * s3: cover the disabled auto-create gate at all three upload entry points |
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02b3ec6e90 |
sftp: url-encode the upload path (#10758)
sftp: url-encode the upload path so filenames can't inject filer query commands
The SFTP put handler concatenated the user-controlled filename straight into
the filer upload URL, so a name containing "?" was parsed as a query string.
Build the URL via url.URL{Path: ...} so "?" becomes %3F and stays a literal
path character.
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c2ea452b9d |
skiplist: fix TestFindGreaterOrEqual flake (compare against largest key, not value) (#10757)
skiplist: compare against the largest key, not its value, in TestFindGreaterOrEqual |
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d713ab49f9 |
volume: validate replica targets and restrict gcs credentials in FetchAndWriteNeedle (#10755)
* volume: validate replica upload targets in FetchAndWriteNeedle The replica leg forwarded the fetched needle to a caller-supplied address without checking it, so a malformed target could redirect the upload to an unintended host or path. Require each replica target to be a bare host:port whose host is not loopback / link-local / unspecified, reusing the address deny-list; cluster peers legitimately sit on private networks, so RFC 1918 / CGNAT stay allowed and -volume.allowUntrustedRemoteEndpoints still opts out. Validate every target up front so a bad one fails the request before the local write, and upload through a client that re-checks the resolved address at connect time so a replica hostname cannot rebind to a blocked address after validation. Mirrored in Rust (validation moved ahead of the local write; the Rust S3 path's connect-time re-check is still a follow-up there). * volume: only accept inline gcs credentials in FetchAndWriteNeedle The gcs credentials value on this request could name a local filesystem path, which the SDK reads from disk. Accept only inline JSON here; the server-side GOOGLE_APPLICATION_CREDENTIALS env var still supplies a path. The Rust volume server has no gcs backend, so there is nothing to mirror. |
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9125b9c835 |
volume: extend the remote-endpoint guard to the azure backend (#10754)
* remote_storage/azure: allow a per-request HTTP client Thread an optional *http.Client through NewAzBlobClient and add azure.MakeWithHTTPClient, mirroring the S3 backend. When set, the client overrides the azblob transport so a caller can pin the dial path. The existing makers pass nil, so behavior is unchanged. * volume: extend the remote-endpoint guard to the azure backend The endpoint validation and rebinding-safe dialer in FetchAndWriteNeedle covered the S3-SDK backends. The azure backend also dials a caller-supplied AzureEndpoint, so route both families through a single guardedRemoteClient helper that returns the endpoint each backend dials and a constructor bound to the guarded HTTP client. azure is guarded only when AzureEndpoint is set; an empty endpoint derives the public host from the account. -volume.allowUntrustedRemoteEndpoints still opts out. * rust volume: assert the azure endpoint has no remote-client path The Rust volume server has no azure backend, so make_remote_storage_client rejects the type before any client is built. Add a regression test pinning that invariant. |
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94f8e2caf9 |
EC: handle zero-sized shard files uniformly (moves, rebuilds, startup cleanup) (#10753)
* volume_move: treat zero-sized EC shards as absent in move verification A zero-sized shard file is residue of a failed operation (issue 10730), not a shard - but VerifyEcShards only checked presence, so a copy that landed as an empty file passed verification and the source was deleted behind it. Size zero now reads as absent, with a distinct error naming the zero-sized shard so the operator can tell a broken copy from a missing one. * storage: exclude zero-sized EC shards from rebuilds and clean up stale ones The reproducer in issue 10730: a zero-sized shard file left by a failed operation was selected as a Reed-Solomon input and failed the whole rebuild with an input size mismatch, because input discovery checked existence, not substance. - RebuildEcFiles treats a zero-sized shard file as missing and regenerates over it in place (the reclassified-corrupt path: temp file beside the residue, atomic rename). - The startup/rescan shard loader, which always skipped zero-sized files, now deletes them once they are older than an hour - young enough files can be an in-flight copy's just-created file, since the same scan runs from LoadNewVolumes while serving. Regression tests: a rebuild with one emptied shard regenerates it byte-identical; the loader deletes a stale zero-sized shard and leaves a fresh one alone. * storage: age-check each zero-shard cleanup candidate individually The shard scan merges the data and idx directory listings, so the age-checked entry and a deletion candidate can be different files sharing one name - a stale zero-sized file in one directory next to a fresh same-named file in the other (possibly an in-flight copy's just-created one) could get the fresh file deleted. Each candidate's own modification time now decides, both directories are handled in one pass, and the split-directory case is pinned by a test. |
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9386a25a4a |
feat(shell): parallelize volume balance moves (#10737)
* chore: volume.balance parallelization * chore: volume.balance add ioBytePerSecond --------- Co-authored-by: Konstantin Lebedev <whitefox@mayflower.work> |
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0de7ff5eb8 |
ci: run the gated redis store tests (#10746)
* redis2: route the orphan cleanup existence checks to the master * scaffold: the redis_cluster2 read routing key is useReadOnly * ci: run the gated redis store tests * redis2: poll for the redis expiry instead of a fixed sleep * redis2: assert the value key exists before testing its expiry |
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0481f712b1 |
redis2: orphan cleanup existence checks must not read replicas (#10745)
* redis2: route the orphan cleanup existence checks to the master * scaffold: the redis_cluster2 read routing key is useReadOnly |
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ae2cc8225e |
rust volume: mirror the VolumeConsolidateIndex RPC from Go (#10752)
The Go volume server has VolumeConsolidateIndex, which moves a volume's .idx out of the data directory into the configured -dir.idx directory (where an EC decode/reconstruct can leave it co-located) and reloads the volume in place. The Rust port's proto omitted the RPC entirely, so its generated VolumeServer trait was one method short of Go's. Add the proto message and rpc, the gated grpc handler, and Store::consolidate_volume_index / Volume::relocate_index_to, mirroring Go's Store.ConsolidateVolumeIndex and Volume.RelocateIndexTo -- including the cross-device copy fallback and the reopen-against-the-old-dir path when the move fails. Integration tests cover the real move (index relocated, volume still serves reads and the move is idempotent), the no-op paths (index already in place, no separate idx dir) and the not-found error, plus the grpc handler end to end. |
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7f27c572c4 |
log_buffer: end bounded reads that find the buffer empty (#10750)
A bounded LoopProcessLogData (stopTsNs set) on a buffer that never took a write since process start fell into the ResumeFromDiskError branch, which never checks stopTsNs when ReadFromDiskFn is nil and HasData() is false. The read parked on the notification loop forever while the subscription's idle heartbeats kept the stream looking alive, so a bounded SubscribeMetadata pass on a freshly restarted idle filer never completed. Terminate like the caught-up path does, returning a nil error: leaking the pending ResumeFromDiskError would latch the filer's outer loop into its gap machinery, which parks the bounded subscriber all over again. |
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4f50c5b0d4 |
feat: throughput limits for replicate, EC shard, and worker-driven moves (#10749)
* feat: throughput limits for replicate, EC shard, and worker-driven moves VolumeCopy was the only rate-limitable transfer; EC shard copies, replica creation, and worker-driven moves all ran at whatever the receiving server's maintenance rate allowed, with no per-operation control. - proto: VolumeEcShardsCopyRequest and the balance / ec_balance task params and configs gain io_byte_per_second; 0 keeps today's behavior (the volume server's own maintenance rate governs). - volume server: VolumeEcShardsCopy throttles with one WriteThrottler per request, shared across the shard, .ecx, .ecj, .vif, and .ecsum copies so the limit caps the transfer as a whole - the same shape as VolumeCopy. - volume_move: ReplicateVolume accepts the limit; EcMoveOptions carries it through MoveEcShards/CopyAndMountEcShards into the copy request, with fake-client tests asserting propagation. - shell: ec.balance gains -ioBytePerSecond; volume.tier.move's replication top-up honors the command's existing -ioBytePerSecond instead of running unthrottled. - worker: balance and ec_balance configs gain io_byte_per_second (surfaced in the admin config schema), carried through detection and plugin job parameters into task params and handed to the shared mover; batch balance jobs inherit the limit from their detection results. The limit is per copy stream, so maxParallelization multiplies the aggregate ceiling. * worker plugins: expose io_byte_per_second in the plugin config and derive it The plugin-driven detection path derives its task Config from the plugin configuration values, and both balance and ec_balance left IoBytePerSecond at zero there - a configured limit silently reverted to the server maintenance rate. Both derive functions now read the field (clamped at zero), and the plugin descriptors expose it with defaults so the configuration form carries it. |
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7d0fff32db |
redis2: expire entries without destroying a concurrent recreate (#10744)
* redis2: expire entries without destroying a concurrent recreate * redis2: repair the member when redis expiry wins the compare-and-delete race |
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c0f33d599b |
rust volume: mirror Go volume server logic to gate the admin RPCs (#10748)
rust volume: gate the remaining admin RPCs behind check_grpc_admin_auth
The Go volume server gates 29 destructive VolumeServer RPCs on the
-whiteList admin check; the Rust port only gated 14. Add the gate to the
other 15 -- batch_delete, read_all_needles, fetch_and_write_needle, the
EC-shard generate/rebuild/copy/unmount/to-volume RPCs, both tier-move RPCs,
volume_copy, volume_tail_receiver, set_state, scrub_ec_volume and
volume_needle_status -- so a configured whitelist restricts them the same
way it already does on the Go side.
check_grpc_admin_auth also required peer info before checking whether any
control was configured, unlike Go's `if vs.guard == nil { return nil }`.
Short-circuit when no whitelist and no signing key are set, so in-process
callers keep working with security inactive and only the gate ordering
changes for configured servers.
tests/admin_auth_coverage.rs mirrors the Go coverage test: every handler
must either gate or be listed as intentionally open with a reason, so the
two implementations can't silently drift apart again.
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4500bdf88e |
iceberg: accept lowercase parquet file format when planning compaction (#10751)
* iceberg: accept lowercase parquet file format when planning compaction * iceberg: expect absolute added-file paths in compaction integration test |
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76d3fd0e9d |
grpc: optional client_cert/client_key for outgoing mTLS connections (#10747)
* grpc: optional client_cert/client_key for outgoing mTLS connections * scaffold: list client_cert/client_key in each grpc section |
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abd36cbf92 |
redis2: harden the orphaned index member cleanup (#10743)
* redis2: derive the orphan cleanup keys inside the helper * redis2: skip orphan cleanup in super large directories * redis2: detach orphan cleanup from the request context and log a failed restore * redis2: keep a directory member whose child index is still live * redis2: run restore-path tests under both key prefixes and fix the test harness * redis2: check cleanup errors in tests |
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4fb5d15019 |
redis: remove orphaned directory index members on listing (#10742)
* redis: remove orphaned directory index members on listing * redis: check cleanup errors in tests |
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f7ae2d4dd5 |
fix(redis2): remove orphaned directory index members on listing (#10735)
* fix(redis2): remove orphaned directory index members on listing ListDirectoryEntries skipped index members whose value key was gone and left them in the ZSET, so the per-directory child index grew without bound under any TTL workload. Mirror the ZRem the logical-expiry branch already performs. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> * fix(redis2): keep the index member when a concurrent insert recreates the value The orphan cleanup removed the member unconditionally, so an InsertEntry landing between FindEntry and the ZRem left a live value with no index member, invisible to listings until another InsertEntry on that path. UpdateEntry does not re-add it, so the loss persisted. Restore the member when the value is present again after the removal. The value key and the directory index key hash to different slots, so a Lua script or MULTI over both is not available to the cluster store. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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8714f42abf |
erasure_coding: share the EC shard teardown primitive (#10740)
The unmount+full-teardown of EC shards was duplicated: the plugin-worker EC task had unmountAndDeleteEcShards and the shell had unmountAndDeleteEcShardsQuiet, byte-identical apart from a fence parameter and a sentinel error. That duplication is how the teardown fence semantics drifted between the two paths. Distribute, mount and verify already live in weed/storage/erasure_coding and are shared by both callers; move the teardown there too, as UnmountAndDeleteEcShards plus the shared ErrFullTeardownNotAcked sentinel. Both paths now call the one function, so the fence semantics cannot diverge again. The shell keeps a thin type-converting wrapper and aliases the sentinel; behavior is unchanged. |
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6408f32232 |
EC worker: clear stale/interrupted shards at task start and on failure (#10738)
* EC worker: clear stale/interrupted shards at task start and on failure
The EC encode task cleared stale shards from a prior interrupted encode only
at 55% progress (after mark-readonly, copy, and generate), and used a
generation-fenced teardown. Two gaps left orphan shards behind:
- a retried encode's prior attempt carries the same admin-issued encodeTsNs,
and the server's teardown fence preserves same-or-newer generations, so the
prior attempt's shards were never cleared;
- shards left by an interrupted distribute often have an unreadable .vif
generation (the sidecar never landed), which the fence also preserves.
Both survive the next volume-server restart as orphans and make detection
refuse the volume (Manual intervention required).
Move the cleanup to a Step 0 preflight that runs before any destructive step,
and switch it to the server's blanket (generation-independent) teardown -- the
same wipe the shell ec.encode pre-cleanup uses. The admin dedupe key already
prevents a concurrent newer encode of the volume, and the blanket path aborts
rather than clobber a live newer mount.
Add rollbackDistribute: a failure after distribute begins but before verify
commits the EC copy now tears down the shards it wrote and restores the sources
to writable, so a terminally-failed encode (a single-attempt job, or the last
of a retry series, which has no successor preflight) leaves nothing behind.
The preflight also rejects a plan with no targets or no source before marking
the source readonly.
* EC worker: reject malformed targets and keep source readonly on incomplete teardown
Address review feedback:
- ensureCleanEcStart only rejected an empty target slice; a target with an
empty Node (or no shard ids) passed the length check, was then silently
skipped by cleanupStaleEcShards, and let Execute mark the source readonly
with nothing to distribute to. Validate each target before the first
destructive step. Add regression cases.
- rollbackDistribute marked the source writable even when the shard teardown
returned an error, exposing a writable source beside stale (possibly mounted)
shards -- reads/writes could diverge and orphan cleanup will not remove a
writable source. On an incomplete teardown, leave the source readonly for the
next preflight or an operator to reconcile.
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fa48ce20fc |
shell: roll back a failed ec.encode instead of leaving readonly volumes and orphan shards (#10741)
* shell: roll back a failed ec.encode instead of leaving readonly volumes and orphan shards ec.encode marks the source volumes readonly and generates EC shards before it verifies the shards and deletes the originals. If any step in between failed, the command just returned the error: the volumes were left readonly and the partially-produced EC shards survived as orphans, cleaned up only by the next ec.encode run (via clearPreexistingEcShards) if the operator retried. Add a deferred rollback that runs when the batch fails before the originals are deleted: it tears down the EC shards produced this run and restores the sources to writable, reusing the existing clearPreexistingEcShards and markVolumeReplicaWritable helpers. Once the shards are verified recoverable the batch is committed to the EC copy and does not roll back. Both rollback steps are idempotent, so a failure before the volumes were marked readonly is safe. * shell: re-read volume locations when restoring writable in ec.encode rollback Address review: rollbackFailedEcEncode restored writable using the location snapshot taken before doEcEncode, but doEcEncode re-reads locations and marks every replica of that later snapshot readonly. A replica added or moved in between would be left readonly. Re-read locations in the rollback and fall back to the pre-encode snapshot only if the re-read fails. |
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db5a086d04 |
read cold remote objects straight from the origin while caching (#10731)
* refactor: extract remote mount resolution into shared helpers * refactor: share the adaptive remote cache wait policy * filer: stream cold remote reads from the origin while caching * s3: stream cold remote reads from the origin instead of 503 retries * test: cover the S3 origin stream-through path * remote mounts: match on path components and prefer the longest mount * fail short origin streams instead of silently truncating * s3: try the origin before failing a cold read on a local cache error * s3: gate origin streaming on the entry's resolved version * return the cache RPC's NotFound as a canonical status and classify it everywhere * filer: keep multipart-range cold reads on the retry path |
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a0347ca545 |
test: assert EC shard identity and empty-view in multi-disk lifecycle tests (#10723)
test: assert EC shard identity and empty-view, not just counts, in lifecycle Follow-up to the multi-disk EC lifecycle tests (#10721), addressing review feedback. The phase checks compared shard counts. A reconcile that put a shard on the wrong disk, or loaded a different shard than the file on disk, keeps 6/5/3 right while corrupting the mapping. Compare the exact registered shard set per disk at every phase instead, via a shared assertRegistered helper. The cross-disk mount phase now also pins that shard 0 landed on disk2 with the existing shards, not merely that it is findable. The sidecar-disk-lost scenario only logged the registered view, so a change that registered shards without reachable sidecars would pass despite the documented expectation that the view stays empty. It now asserts countRegistered == 0: a registered-but-unreadable shard is worse than an unregistered one, because the master advertises it. The first store's closer is now deferred as a closure the moment the store is created, so a Fatalf in an early phase no longer leaks it and its notification-drainer goroutine; the closure reads the reassigned variable so it also covers the post-restart store. |
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78e7e04377 |
plugin scheduler: drain started jobs past the window close instead of killing them (#10728)
* plugin scheduler: drain started jobs past the window close instead of killing them * plugin scheduler: never drain-cap an attempt below its declared estimated runtime * plugin scheduler: cap estimated_runtime_seconds before the Duration conversion |
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0799084e98 |
refactor: share volume and EC shard move logic between shell and workers (#10727)
* operation: add shared volume_move package for volume and EC shard moves The shell commands (volume.move, volume.balance, ec.balance, tier moves) and the maintenance workers (balance, ec_balance) each carried their own copy of the move RPC sequences, and the copies had drifted: the worker verified the target before deleting the source but dropped the disk type and IO throttle; the shell passed those but deleted the source unverified. volume_move.Mover carries the merged sequences, keeping the stricter behavior from each side: - LiveMoveVolume: check-then-hard-freeze the source (VolumeStatus's IsReadOnly also covers low-disk and readonly-but-can-delete states, which still accept needle deletes), copy with disk type and IO throttle, tail, verify the target is not behind the source before the destructive source delete (a target that is ahead holds writes it accepted during the tail and the move commits to keep them), and restore the source's writability when a failure precedes the delete and this move did the freezing. Aborts clean up the incomplete target copy; a failed cleanup or an ambiguous source delete keeps the source readonly (ErrSourceKeptReadonly) so callers do not thaw a source next to a possibly-authoritative copy. With a readonly source, an existing or unknown-state target refuses the move outright: no client-side observation can prove such a copy is a stale remnant rather than the authoritative copy of an unfinished move. - MoveEcShards: copy with the .ecx/.ecj/.vif/.ecsum sidecars, mount, verify the target registered every shard before unmount+delete on the source, and reject same-server moves (the EC delete is server-wide). Server identity is the grpc endpoint (SameServer), so node:8080 and node:8080.18080 compare equal while test servers sharing a degenerate HTTP address stay distinct; addresses are validated non-fatally before dialing and before being embedded in copy/tail requests, since both the client dialer and the receiving server normalize them through a parser that aborts the process on a malformed port. The Rust volume server's codes.NotFound counts as a definitively absent probe answer alongside the Go server's plain-error code Unknown. All RPCs go through an injectable ClientFunc, so the sequences are unit tested against a fake volume server client: RPC order, request fields, and that verification failures keep the source intact. * shell, worker: delegate volume and EC shard moves to operation/volume_move LiveMoveVolume and the copy/tail/delete/mark-writable helpers become thin wrappers over the shared mover, keeping their signatures; the EC helpers keep their per-step output and delegate the RPCs. BalanceTask and ECBalanceTask keep their parameter validation, progress reporting, and guards (same-node cross-disk rejection, dedup keep-node verification, shard ids range-checked before the uint8 narrowing) and hand the RPC sequences to the mover. volume.tier.move skips its thaw-on-failure when the mover deliberately kept the source readonly, since reopening the replicas beside a possibly-authoritative target copy would fork the volume. The tail-failure tolerance moves inside the mover: a failed tail is tolerated only when the volume was already readonly before the move began, backstopped by a stability re-read across the idle window, so volume.balance's -skipTailError-by-readonly heuristic and tier-move's unconditional skip both become the same authoritative rule. * volume_move: keep the source readonly when a failed copy leaves a target of unknown origin A failed copy can leave a complete, mounted copy on the target (the server finishes after the client loses the stream). The abort probed the target only when its pre-copy state was known-absent; an unknown prior state skipped both the probe and the cleanup and then reopened the source - two writable replicas of one volume, diverging from the next write on. The abort now probes the target on every failed copy and restores the source only when the target provably holds nothing. A copy whose provenance cannot be proven (unknown prior state, a pre-existing replica, or an unreachable target) is never deleted, and the source stays readonly with ErrSourceKeptReadonly naming the recovery. * test: teach the plugin worker harness the shared move sequence The fake volume server lacked VolumeStatus, which the shared mover now issues before freezing the source, and the batch execution test's status-read accounting predates the pre-copy target probe and the verification reads. Mirrors the harness the enterprise tree already carries. |
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c55ef964d9 | docs: update example link (#10725) | ||
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2a513e71a4 |
test: drive ec.encode/balance/rebuild E2E with a byte-identical payload check (#10722)
The existing multi-disk EC integration test asserts on shard counts. Counting cannot tell a healthy volume from one a repair reassembled out of the wrong inputs — both have fourteen shards. This drives the real shell commands (ec.encode, ec.balance, ec.rebuild) against a live three-node, four-disk cluster and reads the stored bytes back after every step, so a rebuild that produced fourteen plausible-but-wrong shards fails here. An 8 KB random payload is stored, then encoded, balanced, damaged (two shard files removed and the servers restarted so the master relearns the reduced set from disk), and rebuilt. The rebuild output matches the shape of the support case that motivated this — "rebuildOneEcVolume", "missing shard N.0", "copied N.1 from ..." — and the payload is verified identical after each of upload, encode, balance, shard loss, and rebuild. Two ordering facts the test pins, both of which cost real debugging time: ec.rebuild is driven by the master's topology, not disk truth, so shards must be relearned (via restart) before a repair can target the right set; and the shell lock is dropped when the restart disconnects the master, so it has to be retaken before the rebuild. |
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3dfe4bdaaa |
test: walk an EC volume through a multi-disk node's whole life (#10721)
A multi-disk volume server keeps one .ecx / .ecj / .vif set per volume on a single disk while ec.balance scatters the shards across the others. Every EC operation on such a node crosses that split: startup registration, balancing the sidecar disk's shards away, rebooting in that state, and mounting a shard delivered to a disk that has no local sidecars. Each of those transitions is handled by a different mechanism (per-disk scan, cross-disk reconcile, mount-time .ecx lookup), individually tested but never as the sequence a production node actually lives through — where the output state of one transition is the input of the next. A regression in any hop shows up as shards that exist on disk while the master's view says otherwise, and every topology-driven repair then works against the wrong shard set. The layout, volume id and collection mirror a support case. The second test pins the failure floor when the sidecar disk itself dies: shards on the surviving disks may drop out of the registered view, since nothing can read them without the .ecx, but their files must survive so restoring the sidecars restores the volume. |
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65114575eb |
mount: invalidate hot directory listings by section (#10712)
* mount: invalidate hot directory listings by section A cached directory used to be dropped whole when it saw 64 changes in 2s: with a continuous writer the listing cycled through wipe, direct listing and full rebuild for as long as the writer kept going, and every sibling lookup fell through to the filer in between. Split each cached listing into name-range sections of 1024 entries. A burst of foreign changes invalidates just the section it lands in; entries stay served and events keep applying, and the next readdir re-lists only that range from the filer, reconciled through the version gate so it cannot roll back newer applied events. Lookups in an invalidated section read through until then. The mount's own writes no longer invalidate anything: they are ground truth for its cache. * meta_cache: drop the version floor with a deleted or moved directory The other teardown paths already clear both maps; a floor left behind here would fence the listing of a directory re-created at the same path. * mount: harden section refresh An unversioned listing (pre-upgrade filer) now only fills gaps instead of reconciling: without a snapshot to order against, an overwrite or the deletion sweep could roll back an event applied after the listing. The section table can be rebuilt or re-split between the listing and its apply, so the refresh only marks fresh or splits when the section still covers the range it read. Splicing bounds from a stale range into a rebuilt table could leave them unsorted. Bound the wait: a readdir gives a refresh five seconds before serving the maintained-but-unverified cache. Bound the size: a range grown past four sections aborts the refresh and drops the directory cache, re-tiling it with a full rebuild, with that request served direct. Cover the filer-facing path with a listing server: paging with the snapshot pinned across pages, the section cutoff, no calls for a fresh section, and the overgrown-range abort. * meta_cache: make the section table a self-contained state machine Churn counting, freshness, stale-range scanning and the refresh completion with its guard and split now live on dirSections itself, free of the lock, the store and the apply loop, so they test directly with synthetic clocks and tables. MetaCache keeps thin wrappers that hold its mutex and find the directory's table. * meta_cache: keep section internals out of the apply request The request now carries the completed build's table and one refresh as opaque values built by section code, and the boundary-derivation rule moves out of the build loop into a collector next to the rest of the section logic. * mount: fence refreshed sections with a snapshot floor A refresh versioned the entries it fetched and tombstoned the ones it swept, but a name absent from both cache and listing kept the old directory floor, so a delayed event between the two snapshots could resurrect it into a section already marked fresh. The section now carries its own floor, consulted next to the directory floor, covering every name in the range, present or absent — which also retires the refresh's per-entry version stamps and sweep tombstones. An unversioned listing sets no floor and vouches for nothing: it may still fill gaps, but the section stays stale and reads through until a filer that stamps snapshots re-validates it. A listing's reach is unknowable up front — a resumed handle can skip far ahead, and shrunken sections let one batch span many — so a readdir now re-validates every stale section from its start name to the end of the directory instead of the next two. * mount: fence tombstoned names with floors and gate the reconcile A tombstone answered for its name before the floors were consulted, so one at an old position let through events the newer listing floor should have fenced; a build never hit this because it prunes superseded tombstones, which a section refresh does not. The version gate now raises a tombstone to the floors like any other record. With no per-entry versions, only the section floor fences a reconcile's work, so a range the rebuilt or re-split table no longer has must not touch the store either: the range check moves ahead of the mutations, under the same lock the floor install holds. An unversioned refresh no longer retries: the section is remembered as unverifiable and skipped by the stale scan, or every batch of every readdir would re-list the same ranges against a filer that cannot vouch for them. * mount: clear beaten unversioned markers and skip refresh mid-build An unversioned marker outliving the snapshot write that replaced its content bypassed the section floor the same way an old tombstone did, letting a delayed pre-snapshot event roll the entry back. The refresh now clears the marker when its write wins; pinned local-only entries are not replaced at all, keeping their content and marker. A rebuild wipes and repopulates the store off the apply loop, so a refresh reconciling meanwhile could sweep children the build had already inserted and let it publish the directory incomplete. The refresh now skips a building directory, as events (buffered) and purges (skipped) already do; its staleness dies with the build's fresh table. * mount: clear the unversioned marker only after its replacement lands Clearing before the insert meant a failed write left the old local content claiming the listing floors, fencing the very events that were still entitled to correct it. * meta_cache: rename the section state machine to sectionList dirSections named both the type and the map of them. * mount: raise the default cacheDirMaxEntries to 100000 The low ceiling guarded against whole-listing rebuild churn: a big cached directory under writes kept re-streaming everything. Sectioned invalidation ended that — a burst now costs one range listing — so the remaining cost of caching a large directory is its one-time build, comparable to the single direct listing that read-through mode pays on every enumeration instead. * meta_cache: cover section border and edge cases A bound-named entry belongs to the section starting at the bound: the neighboring refresh's sweep stops before it, its own section's covers it. Churn past everything the build saw lands in the tail section, a rename spanning two sections invalidates both, and a listed entry at the section's end name is cut off with the ones beyond it. |
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a7d5443125 |
ec: confirm a surviving copy before deleting a duplicate EC shard (#10719)
* ec: confirm a surviving copy before deleting a duplicate EC shard The dedup phase of EC balancing removes a shard it believes exists elsewhere. It copies nothing first, so the shard surviving on another node is the only thing that makes the delete safe -- and it took the plan's word for that. The plan is built from the master's topology, which can name a location that holds nothing: such a server answers "CopyFile not found ec volume id N" when something later tries to read the shard there. A shard listed on a phantom location and on a real one looks duplicated, so dedup deletes one of them. When it picks the real one the last copy is gone, and the job reports success -- the loss only surfaces later, as a rebuild that cannot assemble enough shards. The move phase already refuses to work on trust: it verifies the shard registered on the destination before removing the source. Dedup now holds to the same standard. The planner records which node it chose to keep, and both executors -- the worker task and the shell's ec.balance -- confirm that node really holds the shard before deleting. A keep node that cannot be queried is unknown rather than confirmed, and blocks the delete. Tests drive the destructive path against an in-process volume server that tracks what is actually on disk separately from what the plan claims, which is the distinction the bug turns on. Without the guard, two of them fail by deleting the only copy and returning success. * ec: check the collection and bound the wait when confirming a survivor Two gaps in the dedup survivor check. The inventory RPC is keyed by volume id alone, so a server holding the same number for a different collection answers "yes, I have that shard" to a question about this one. Accepting that deletes the last real copy on the strength of an unrelated volume. The response already carries the collection, so verify against it rather than widening the RPC. The shell path also queried on a background context, so a keep node that accepts the connection but never answers would hang the whole balance run instead of reporting that the survivor could not be confirmed. Bound it. The check moves into VerifyShardsOnServer next to the existing helper, shared by both executors, so the two paths cannot drift. |
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5b519489c1 |
remote_storage: build all S3-compatible clients through one constructor (#10720)
* remote_storage: build S3-compatible clients through one constructor The eight non-s3 S3-SDK providers each duplicated the AWS session setup and only the s3 maker could take a custom *http.Client. Route every S3-compatible type (s3, wasabi, b2, aliyun, tencent, baidu, filebase, storj, contabo) through MakeWithHTTPClient with a single options table, and add S3CompatibleEndpoint so callers can resolve the endpoint a given type dials. No behavior change. * volume: apply the remote-endpoint check to all S3-compatible providers FetchAndWriteNeedle validated the endpoint and used the pinned dialer only for type "s3". Every S3-SDK backend (wasabi, b2, aliyun, tencent, baidu, filebase, storj, contabo) dials a caller-supplied endpoint through the same client, so gate on S3CompatibleEndpoint to apply the same check uniformly. -volume.allowUntrustedRemoteEndpoints still opts out. * volume: don't route the guarded remote-endpoint client through a proxy The guarded client exists to dial the validated endpoint directly and re-check the resolved IP at connect time. With http.ProxyFromEnvironment set, the dialer only validates the proxy's address while the proxy re-resolves the endpoint host, which reopens the rebinding window. Drop the proxy on this path; operators that need one can opt out with -volume.allowUntrustedRemoteEndpoints. |
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980471c818 |
storage: count a volume's needles in uint32 (#10718)
FileCount and DeleteCount were int, so each cost a word on every replica the master holds. A volume caps at 30GB on a 4-byte-offset build and 8TB on a 5-byte one, and neither holds 4.29 billion needles. That takes VolumeInfo from 120 bytes to 112, which is its own size class rather than rounding up into the 128 one, so a replica costs 135.7 bytes in the map instead of 151.7 -- about 25MB across the 1.6M replicas in a cluster the size of the one this came from. Counts are narrowed where they are read rather than assigned across, so a report claiming more than a volume can hold pins at the ceiling instead of wrapping to a small number. |
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9fd7075bea |
filer: retry and surface metadata replay failures from peers (#10714)
* filer: stop silently dropping metadata replay failures from peers When two filers do not share a store (e.g. one leveldb3 per pod), each subscribes to its peers' metadata streams and replays their events locally (meta_aggregator.go's maybeReplicateMetadataChange, wired into doSubscribeToOneFiler). A failed Replay() was logged and then treated as done anyway: processEventFn always returned nil regardless of the replay outcome, and processOne advanced lastTsNs unconditionally. The offset is the only record of subscription progress, so a dropped event was gone for good - no retry, and nothing else ever observed it. An entry that fails to replay this way diverges from its peer permanently. This is how a bucket's quota (entry.Quota, carried on peer events like everything else - see entry_codec.go's EqualEntry comparing Quota, and FromPbEntry copying it in entry.go) can end up different across filers indefinitely: one replay hiccup on one filer, and its enforcement and any metric reading its own store diverges from the others' with no signal anything went wrong. Fix: replicateMetadataChange now retries a failure with util.Retry, which already distinguishes transient errors (timeouts, connection resets, throttling, ...) from everything else and bounds the backoff. That covers the common case - a busy store, a blip talking to a remote-backed backend - without changing behavior when replay succeeds. An error that is not transient, or outlives the retry budget, is not retried further: propagating it so the offset never advances would stall this peer's entire stream behind one event that may never replay, which is worse than the one entry staying stale. Instead it is skipped, loudly - counted in a new stats.FilerMetaAggregatorReplayFailures metric and logged at error level - so the divergence is discoverable instead of silent. Tested: go build ./... and go test ./weed/filer/... ./weed/server/... Added meta_aggregator_replay_test.go: one test fails against the old one-shot Replay call (a single transient failure is never retried, so the store never converges) and passes with the fix; a second covers a permanently-failing event completing quickly and being counted instead of retried forever. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> * filer: keep the test quota constant int64 for 32-bit builds An untyped shift constant passed to t.Fatalf's ...any defaults to int and overflows on 32-bit, failing go vet there. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> * filer: name the diverged entry in the give-up log line event.Directory is only the parent (typically /buckets), so for any directory with more than one child the previous log line could not say which entry failed to replay - the exact thing the change exists to make discoverable. Name comes from NewEntry, falling back to OldEntry for deletes; both getters are nil-safe. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> * chore(filer): trim metadata replay comments to the non-obvious why Compress the added comments on replicateMetadataChange and its tests down to the reasoning a maintainer cannot get from the code: why a retry-exhausted failure is skipped rather than propagated, what the old one-shot Replay body did that the test pins, and why the quota constant is typed int64. Drops deployment-specific narration and restatement of the code. No behaviour change. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> * chore: restore load-bearing clauses trimmed in the comment pass Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> * filer: document and test the multi-step DeleteEntry replay hazard CodeRabbit flagged that FilerStoreWrapper.DeleteEntry skips the delete once FindEntry reports the path already gone, and that the redis store families remove the primary key before parent-directory membership. Chained together, a delete that fails between those two steps is retried as a no-op: the stale membership is never revisited, and replicateMetadataChange now reports overall success for it without incrementing FilerMetaAggregatorReplayFailures, whereas before this PR every such failure was unconditionally logged. The underlying store inconsistency is pre-existing (a single non-retried Replay already leaves the same stale membership behind); what retry adds is that this one case no longer surfaces it. Making Replay atomic or teaching every store to repair secondary mutations on retry is out of scope here. Instead: document the hazard at Replay, filerstore_wrapper.go's DeleteEntry, and replicateMetadataChange, and add a test against the real FilerStoreWrapper (not a strawman) that pins down the current, documented behavior. * filer: trim replay retry comments and tests Drop the comment-only hunks documenting the pre-existing DeleteEntry partial-failure hazard, the test that asserted that hazard still exists, and the second hand-rolled fake store. Reuse stubFilerStore for the two retry tests. --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com> Co-authored-by: Chris Lu <chris.lu@gmail.com> |
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5b145fe646 |
shell: send read jwt when downloading chunks in fs.mergeVolumes and fs.distributeChunks (#10717)
* shell: fs.mergeVolumes sends read jwt when downloading chunks * shell: fs.distributeChunks sends read jwt when downloading chunks |
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01e97955f9 | Helm: Add support for schedulerName (#10716) | ||
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340f9951ac |
admin: make paths relative (#10709)
* admin: make paths relative * admin: make filer browser link and nav path checks prefix-relative * admin: add isCurrentPath and currentPathStartsWith helpers --------- Co-authored-by: Chris Lu <chris.lu@gmail.com> |
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790e8d3fd6 |
clickhouse catalog test: cover latest ClickHouse and catalog-side CREATE TABLE (#10707)
* clickhouse catalog test: cover latest ClickHouse and catalog-side CREATE TABLE * verify catalog registration structurally and fix README image wording |
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214d3599d3 |
windows mount: cache file data, resolved paths and attributes (#10703)
* benchmark tool for mounted filesystems * ci: on-demand mount benchmark, native WinFsp vs rclone plus a Linux reference * windows mount: let the Windows cache manager cache file data WinFsp only turns the cache manager on for a file when FileInfoTimeout is infinite; at any finite value every application read and write is a synchronous trip into the mount process at whatever size the application issued. Metadata events already reach FspFileSystemNotify, which purges a changed file's cached pages and attributes, so an infinite timeout stays coherent. The dir listing, volume info and EA timeouts are pinned to one second so they do not silently inherit the infinity. * windows mount: cache resolved paths and attributes in the adapter WinFsp addresses every operation by path and has no FORGET, so the adapter walked the whole path through Lookup on each one, and in a directory the filer has not listed yet every walk was a filer round trip; nothing played the part of the kernel's dentry and attribute caches. The path cache owns one lookup reference per entry the way the kernel holds one until FORGET, serves attribute reads for files without an open handle, and is purged by the mount's own mutations and by metadata events, with the timeout as backstop. * windows mount: keep a closed file's attributes cached Open steals the path's cache entry for its handle and Release returned the reference with a purge, so the stat that follows every copied file walked to the filer again. Reading the handle's final attributes before it goes away and moving the reference back into the cache serves that stat locally, the way the kernel's attribute cache does after a close. Only if the path still names that inode, though: WinFsp reports the path the handle opened with, and after a delete-on-close or a rename caching it would resurrect an entry that is gone. * windows mount: persist entries at create, and let the flush stay at close WinFsp posts the cleanup and close that carry the flush after CloseHandle has returned, so deferring the filer entry to the flush let everything that reads through the filer race an unflushed close: a listing missed just-written files, and a directory rename moved a directory on the filer before its newest child existed there, leaving the straggler flush to recreate the child under the dead path. Flush-at-cleanup is not the answer either: it makes every handle's cleanup flush, and those flushes race the unlinks of delete-on-close, re-inserting the entry the unlink just removed. Persisting the entry at create takes the ordering question away. * mount: flush written pages before a truncate shrinks past them The shrink trims chunks, but written pages that have not become chunks yet are invisible to it, so the next flush wrote them back and the file grew again, resurrecting the truncated bytes. Windows hits this on every write-then-shrink because its flush runs after CloseHandle, but the gap is platform-neutral. * mount: order a file's unlink against its in-flight flush Unlink set the handle's deleted flag bare, so a flush already past its own check of that flag wrote the entry back right after the delete removed it, and a delete-on-close file outlived its last handle. The flag is now set under the handle's flush lock and re-checked under it, so a flush either completes before the delete or sees the flag and skips. An eagerly created handle also starts clean: the dirty mark existed to make the deferred filer create happen at flush, and eager creates have nothing to flush. |