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Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
  Chris LuandGitHub
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37962e2445 |
admin: configure maintenance tasks via admin.toml (#9926)
* admin: configure maintenance tasks via admin.toml Maintenance task settings could only be edited in the admin UI and live under <dataDir>/conf, so they silently reverted to defaults whenever the data directory was recreated. An optional admin.toml now declares vacuum, balance, and erasure coding settings; keys set there are written through to the persisted task configs at every startup, overriding UI edits, so the configuration stays declarative. Generate an example with "weed scaffold -config=admin". * vacuum: round min volume age up to whole hours MinVolumeAgeSeconds was truncated by integer division when converted to the hour-granular protobuf field, so a sub-hour setting silently became 0 and disabled the age guard. * admin: split and normalize preferred_tags from admin.toml A comma-separated string, as set via environment variable, came through viper as a single slice element. Split on commas and reuse util.NormalizeTagList, matching the plugin config path. * scaffold: clarify admin.toml wording |
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Chris LuandGitHub
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8a4fdf06c0 |
admin/maintenance: reload in-flight tasks on startup instead of discarding them (#9857)
* admin/maintenance: reload in-flight tasks on startup instead of discarding LoadTasksFromPersistence deleted all persisted task files on startup and relied on the scanner to re-detect, so saved task state was never consumed — the persistence was effectively write-only. Reload non-terminal tasks (pending/assigned/in_progress) into the queue, resetting in-flight ones to pending since their worker is gone after a restart (maintenance tasks are idempotent). Terminal task files are dropped; the scanner still backfills anything not persisted. * address review: nil-guard reloaded tasks and SyncTask to ActiveTopology - skip nil entries from LoadAllTaskStates (corrupted state) - re-sync restored tasks with MaintenanceIntegration so ActiveTopology (in-memory, empty on startup) knows about them; otherwise GetNextTask's AssignTask rejects them as unknown and they never get assigned |
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Chris LuandGitHub
|
25beb7ec48 |
admin: expose Prometheus metrics (#9652)
* admin: add -metricsPort flag to expose Prometheus metrics
The admin command had no metrics endpoint, so passing -metricsPort
(as the operator does for spec.admin.metricsPort) crashed the process
with "flag provided but not defined". Wire up -metricsPort/-metricsIp
and start the shared Prometheus metrics server, matching filer, master,
and volume.
* admin: emit maintenance task and worker fleet metrics
Add Prometheus metrics for the admin server's distinctive work: the
maintenance task queue and the worker fleet that executes it.
Task lifecycle: maintenance_tasks_by_status / _by_type gauges (snapshot
of the queue), maintenance_tasks_completed_total{type,outcome} counter
and maintenance_task_duration_seconds{type} histogram (recorded when a
task reaches a terminal state), and last/next scan timestamp gauges.
Worker fleet: workers_connected and worker_slots{used,max} gauges, plus
worker_events_total{event} counting register/unregister/stale removals.
Gauges are snapshotted by a background goroutine on the admin server;
counters and the histogram are recorded at their event sites.
* admin: read worker slot totals under lock, clear next-scan gauge when idle
GetWorkers returns live worker pointers; summing CurrentLoad/MaxConcurrent
outside the queue lock races with task assignment and completion. Add
GetWorkerSlotTotals to aggregate under the lock.
Also reset maintenance_next_scan_timestamp_seconds to 0 when the scanner
is not running, so it can't retain a stale value after a stop.
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Chris LuandGitHub
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391f543ff2 |
fix(ec): correct multi-disk disk counting and EC balance shard attribution (#9594)
* fix(shell): count physical disks in cluster.status on multi-disk nodes
The master keys DataNodeInfo.DiskInfos by disk type, so several same-type
physical disks on one node collapse into a single DiskInfo entry. cluster.status
(printClusterInfo) and CountTopologyResources counted len(DiskInfos), reporting
one disk per node instead of the real physical disk count, while volume.list and
the admin ActiveTopology already split per physical disk.
Route both counters through DiskInfo.SplitByPhysicalDisk so a node with N
same-type disks reports N. Cosmetic/diagnostic only; placement already uses the
per-disk activeDisk map.
* fix(ec): attribute EC balance source disk per shard and reject same-node moves
On multi-disk nodes the EC balance worker built a node-level view that kept only
the first physical disk id per (node, volume), so a move of a shard living on a
different disk reported the wrong source disk. That source disk drives the
per-disk capacity reservation, so the wrong disk drifts the capacity model the
EC placement planner relies on. Track shards per physical disk and resolve the
actual source disk for every emitted move (dedup, cross-rack, within-rack,
global), keeping the per-disk view consistent as simulated moves are applied.
Also close a data-loss trap: VolumeEcShardsDelete is node-wide (it removes the
shard from every disk on the node) and copyAndMountShard skips the copy when
source and target addresses match, so a same-node move would erase a shard it
never copied. isDedupPhase now requires the same node AND disk, and Validate /
Execute reject same-node cross-disk moves outright.
* fix(ec): spread EC balance moves across destination disks
Port the shell ec.balance pickBestDiskOnNode heuristic to the EC balance
worker so a moved shard is placed on a good physical disk instead of always
deferring to the volume server (target disk 0). The detection now builds a
per-physical-disk view of each node (free slots split from the node total, exact
EC shard count, disk type, discovered from both regular volumes and EC shards)
and, for each cross-rack, within-rack, and global move, chooses the destination
disk by ascending score:
- fewer total EC shards on the disk,
- far fewer shards of the same volume on the disk (spread a volume's shards
across disks for fault tolerance), and
- data/parity anti-affinity (a data shard avoids disks holding the volume's
parity shards and vice versa).
Planned placements are reserved on the in-memory model during a run so multiple
shards moved to the same node spread across its disks rather than piling on one.
* fix(ec): bring EC balance worker to parity with shell ec.balance
The worker's cross-rack and within-rack balancing balanced shards by total
count; the shell balances data and parity shards separately with anti-affinity
and honors replica placement. Port that logic so the automatic balancer makes
the same fault-tolerance-aware decisions as the manual command:
- Cross-rack and within-rack now run a two-pass balance: data shards spread
first, then parity shards spread while avoiding racks/nodes that already hold
the volume's data shards (anti-affinity), mirroring doBalanceEcShardsAcrossRacks
and doBalanceEcShardsWithinOneRack.
- Optional replica placement: a new replica_placement config (e.g. "020")
constrains shards per rack (DiffRackCount) and per node (SameRackCount); empty
keeps the previous even-spread behavior.
- The data/parity boundary is resolved from a per-collection EC ratio (standard
10+4 here), replacing the previously hardcoded constant at the call sites.
Selection is deterministic (sorted keys) to keep behavior reproducible.
* refactor(ec): extract shared ecbalancer package for shell and worker
The EC shard balancing policy was duplicated between the shell ec.balance
command and the admin EC balance worker, and the two had drifted (multi-disk
handling, data/parity anti-affinity, replica placement). Extract the policy into
a new pure package, weed/storage/erasure_coding/ecbalancer, that both callers
share so it cannot drift again.
- ecbalancer.Plan(topology, options) runs the full policy (dedup, cross-rack and
within-rack data/parity two-pass with anti-affinity, global per-rack balance,
and diversity-aware disk selection) over a caller-built Topology snapshot and
returns the shard Moves. It depends only on erasure_coding and super_block.
- The worker builds the Topology from the master topology and turns Moves into
task proposals; the shell builds it from its EcNode model and executes Moves
via the existing move/delete RPCs. Per-collection EC ratio resolution stays in
each caller (passed as Options.Ratio).
- Options expose the two genuine policy differences: GlobalUtilizationBased
(worker balances by fractional fullness; shell by raw count) and
GlobalMaxMovesPerRack (worker moves incrementally across cycles; shell drains
in one pass).
The shell keeps pickBestDiskOnNode for the evacuate command. Policy tests move to
the ecbalancer package; the shell and worker keep their adapter/execution tests.
* fix(ec): restore parallelism and per-type/full-range balancing after ecbalancer refactor
Address regressions and gaps from the ecbalancer extraction:
- Shell ec.balance honors -maxParallelization again: planned moves run phase by
phase (preserving cross-phase dependencies) with bounded concurrency within a
phase. Apply mode does only the RPCs concurrently; dry-run stays sequential and
updates the in-memory model for inspection.
- Rack and node balancing gate on per-type spread (data and parity separately)
instead of combined totals, so a data/parity skew is corrected even when the
per-rack/node totals are even.
- Global rack balancing iterates the full shard-id space (MaxShardCount) so
custom EC ratios with more than the standard total are candidates.
- Cross-rack planning decrements the destination node's free slots per planned
move, so limited-capacity targets are no longer over-planned.
* fix(ec): make EC dedup keeper deterministic and capacity-aware
When a shard is duplicated across nodes, keep the copy on the node with the most
free slots and delete the duplicates from the more-constrained nodes, relieving
capacity pressure where it is tightest. Tie-break on node id so the choice is
deterministic. This unifies the shell and worker (the shell previously kept the
least-free node, an incidental default) on the more sensible behavior.
* fix(ec): restore global volume-diversity and per-volume move serialization
Two more behaviors lost in the ecbalancer refactor:
- Global rack balancing again prefers moving a shard of a volume the destination
does not hold at all before adding another shard of an already-present volume
(two-pass, mirroring the old balanceEcRack), keeping each volume's shards
spread across nodes.
- Shell apply-mode execution serializes a single volume's moves within a phase
while still running different volumes in parallel, so concurrent moves of the
same volume cannot race on its shared .ecx/.ecj/.vif sidecar files.
* fix(ec): key EC balance shards by (collection, volume id)
A numeric volume id can be reused across collections, and EC identity is
(collection, vid) (see store_ec_attach_reservation.go). The ecbalancer keyed
Node.shards by vid alone, so volumes sharing an id across collections merged into
one entry — letting dedup delete a "duplicate" that is actually a different
collection's shard, and letting moves act across collections. Key shards by
(collection, vid) throughout so each volume stays distinct.
* fix(ec): credit freed capacity from dedup before later balance phases
Dedup deletions are simulated only by applyMovesToTopology, which cleared shard
bits but did not return the freed disk/node/rack slots. Later phases reject
destinations with no free slots, so a slot opened by dedup could not be reused in
the same Plan/ec.balance run. applyMovesToTopology now credits the freed
disk/node/rack capacity for dedup moves (non-dedup moves still rely on the inline
accounting their phase already did).
* test(ec): add multi-disk EC balance integration test
Cover issue 9593 end-to-end at the unit level the old tests missed: build the
master's actual multi-disk wire format (same-type disks collapsed into one
DiskInfo, real DiskId only in per-shard records), run it through a real
ActiveTopology and the Detection entry point, then replay the planned moves with
the volume server's true semantics (node-wide VolumeEcShardsDelete) and assert no
EC shard is ever lost. Covers a balanced spread, a one-node-concentrated volume,
and a multi-rack spread, and asserts moves are safe (no same-node cross-disk),
correctly attributed to the source disk, and redistribute concentrated volumes
across both other racks and multiple destination disks.
* fix(ec): aggregate per-disk EC shards when verifying multi-disk volumes
collectEcNodeShardsInfo overwrote its per-server entry for each EcShardInfo of a
volume. A multi-disk node reports one EcShardInfo per physical disk holding shards
of the volume, so only the last disk's shards survived — the node looked like it
was missing shards it actually had. This made ec.encode's pre-delete verification
(and ec.decode) under-count volumes whose shards are spread across disks on one
server, falsely aborting the encode on multi-disk clusters. Union the per-disk
shard sets per server instead.
Also make verifyEcShardsBeforeDelete poll briefly: shard relocations reach the
master via volume-server heartbeats, so a freshly distributed shard set may not be
fully visible the instant the balance returns. Retry before concluding the set is
incomplete; genuine loss still fails after the retries are exhausted.
* test(ec): end-to-end multi-disk EC balance shard-loss regression
Start a real cluster of multi-disk volume servers (3 servers x 4 disks),
EC-encode a volume, run ec.balance, and assert hard invariants the prior
integration tests only logged: after encode all 14 shards exist, ec.balance loses
no shard, shards span more than one disk per node, and cluster.status counts
physical disks (not one per node). This reproduces issue 9593 end to end and would
have caught the multi-disk shard-aggregation bug fixed alongside it.
* fix(ec): bring EC balance worker/plugin path to parity with shell
- Per-volume serialization and phase order: key the plugin proposal dedupe by
(collection, volume) instead of (volume, shard, source), so the scheduler runs
only one of a volume's moves at a time (within a run and against in-flight jobs).
Concurrent same-volume moves raced on the volume's .ecx/.ecj/.vif sidecars; and
because the planner emits a volume's moves in phase order, they now execute in
order across detection cycles, matching the shell.
- disk_type "hdd": normalize via ToDiskType (hdd -> "" HardDriveType) while keeping
a "filter requested" flag, so disk_type=hdd matches the empty-keyed HDD disks
instead of nothing; apply the canonical type to planner options and move params.
- Replica placement: expose shard_replica_placement in the admin config form and
read it into the worker config, mirroring ec.balance -shardReplicaPlacement.
* test(ec): rename worker in-process test (not a real integration test)
The worker-package multi-disk tests build a fake master topology and simulate
move execution; they are not real-cluster integration tests. Rename
integration_test.go -> multidisk_detection_test.go and drop the Integration
prefix so 'integration' refers only to the real-cluster E2Es in test/erasure_coding.
* ci(ec): remove redundant ec-integration workflow
ec-integration.yml duplicated EC Integration Tests under the same workflow name
but ran only 'go test ec_integration_test.go' (one file), so it never ran new
test files (e.g. multidisk_shardloss_test.go) and was a strict, path-filtered
subset of ec-integration-tests.yml, which already runs 'go test -v' over the whole
test/erasure_coding package on every push/PR.
* fix(ec): worker falls back to master default replication for EC balance
For strict parity with the shell, the EC balance worker now uses the master's
configured default replication as the replica-placement fallback when no explicit
shard_replica_placement is set, instead of always defaulting to even spread.
The maintenance scanner reads it via GetMasterConfiguration each cycle and passes
it through ClusterInfo.DefaultReplicaPlacement; detection resolves the constraint
(explicit config wins, else master default, else none) in resolveReplicaPlacement.
A zero-replication default (the common 000 case) still means even spread, so the
common configuration is unchanged.
* fix(ec): plugin path populates master default replication too
The plugin worker built ClusterInfo with only ActiveTopology, so the master
default replication fallback added for the maintenance path never reached
plugin-driven EC balance detection — empty shard_replica_placement still meant
even spread there. Fetch the master default via GetMasterConfiguration (new
pluginworker.FetchDefaultReplicaPlacement) and set ClusterInfo.DefaultReplicaPlacement
so both detection paths resolve replica placement identically to the shell.
* docs(ec): empty shard replica placement uses master default, not even spread
The EC balance config text (admin plugin form, legacy form help text, and
the struct/proto field comments) still said an empty shard_replica_placement
spreads evenly. The runtime resolves empty to the master default replication
(resolveReplicaPlacement), matching shell ec.balance, with even spread only
when that default is empty or zero. Update the text to match and regenerate
worker_pb for the proto comment change.
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1c0e24f06a |
fix(balance): don't move remote-tiered volumes; don't fatal on missing .idx (#9335)
* fix(volume): don't fatal on missing .idx for remote-tiered volume A .vif left behind without its .idx (orphaned by a crashed move, partial copy, or hand-edit) would trip glog.Fatalf in checkIdxFile and take the whole volume server down on boot, killing every healthy volume on it too. For remote-tiered volumes treat it as a per-volume load error so the server can come up and the operator can clean up the stray .vif. Refs #9331. * fix(balance): skip remote-tiered volumes in admin balance detection The admin/worker balance detector had no equivalent of the shell-side guard ("does not move volume in remote storage" in command_volume_balance.go), so it scheduled moves on remote-tiered volumes. The "move" copies .idx/.vif to the destination and then calls Volume.Destroy on the source, which calls backendStorage.DeleteFile — deleting the remote object the destination's new .vif now points at. Populate HasRemoteCopy on the metrics emitted by both the admin maintenance scanner and the worker's master poll, then drop those volumes at the top of Detection. Fixes #9331. * Apply suggestion from @gemini-code-assist[bot] Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * fix(volume): keep remote data on volume-move-driven delete The on-source delete after a volume move (admin/worker balance and shell volume.move) ran Volume.Destroy with no way to opt out of the remote-object cleanup. Volume.Destroy unconditionally calls backendStorage.DeleteFile for remote-tiered volumes, so a successful move would copy .idx/.vif to the destination and then nuke the cloud object the destination's new .vif was already pointing at. Add VolumeDeleteRequest.keep_remote_data and plumb it through Store.DeleteVolume / DiskLocation.DeleteVolume / Volume.Destroy. The balance task and shell volume.move set it to true; the post-tier-upload cleanup of other replicas and the over-replication trim in volume.fix.replication also set it to true since the remote object is still referenced. Other real-delete callers keep the default. The delete-before-receive path in VolumeCopy also sets it: the inbound copy carries a .vif that may reference the same cloud object as the existing volume. Refs #9331. * test(storage): in-process remote-tier integration tests Cover the four operations the user is most likely to run against a cloud-tiered volume — balance/move, vacuum, EC encode, EC decode — by registering a local-disk-backed BackendStorage as the "remote" tier and exercising the real Volume / DiskLocation / EC encoder code paths. Locks in: - Destroy(keepRemoteData=true) preserves the remote object (move case) - Destroy(keepRemoteData=false) deletes it (real-delete case) - Vacuum/compact on a remote-tier volume never deletes the remote object - EC encode requires the local .dat (callers must download first) - EC encode + rebuild round-trips after a tier-down Tests run in-process and finish in under a second total — no cluster, binary, or external storage required. * fix(rust-volume): keep remote data on volume-move-driven delete Mirror the Go fix in seaweed-volume: plumb keep_remote_data through grpc volume_delete → Store.delete_volume → DiskLocation.delete_volume → Volume.destroy, and skip the s3-tier delete_file call when the flag is set. The pre-receive cleanup in volume_copy passes true for the same reason as the Go side: the inbound copy carries a .vif that may reference the same cloud object as the existing volume. The Rust loader already warns rather than fataling on a stray .vif without an .idx (volume.rs load_index_inmemory / load_index_redb), so no counterpart to the Go fatal-on-missing-idx fix is needed. Refs #9331. * fix(volume): preserve remote tier on IO-error eviction; fix EC test target Two review nits: - Store.MaybeAddVolumes' periodic cleanup pass deleted IO-errored volumes with keepRemoteData=false, so a transient local fault on a remote-tiered volume would also nuke the cloud object. Track the delete reason via a parallel slice and pass keepRemoteData=v.HasRemoteFile() for IO-error evictions; TTL-expired evictions still pass false. - TestRemoteTier_ECEncodeDecode_AfterDownload deleted shards 0..3 but called them "parity" — by the klauspost/reedsolomon convention shards 0..DataShardsCount-1 are data and DataShardsCount..TotalShardsCount-1 are parity. Switch the loop to delete the parity range so the intent matches the indices. --------- Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> |
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Chris LuandGitHub
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076d504044 |
fix(admin): reduce memory usage and verbose logging for large clusters (#8927)
* fix(admin): reduce memory usage and verbose logging for large clusters (#8919) The admin server used excessive memory and produced thousands of log lines on clusters with many volumes (e.g., 33k volumes). Three root causes: 1. Scanner duplicated all volume metrics: getVolumeHealthMetrics() created VolumeHealthMetrics objects, then convertToTaskMetrics() copied them all into identical types.VolumeHealthMetrics. Now uses the task-system type directly, eliminating the duplicate allocation and removing convertToTaskMetrics. 2. All previous task states loaded at startup: LoadTasksFromPersistence read and deserialized every .pb file from disk, logging each one. With thousands of balance tasks persisted, this caused massive startup I/O, memory usage, and log noise (including unguarded DEBUG glog.Infof per task). Now starts with an empty queue — the scanner re-detects current needs from live cluster state. Terminal tasks are purged from memory and disk when new scan results arrive. 3. Verbose per-volume/per-node logging: V(2) and V(3) logs produced thousands of lines per scan. Per-volume logs bumped to V(4), per-node/rack/disk logs bumped to V(3). Topology summary now logs counts instead of full node ID arrays. Also removes lastTopologyInfo field from MaintenanceScanner — the raw protobuf topology is returned as a local value and not retained between 30-minute scans. * fix(admin): delete stale task files at startup, add DeleteAllTaskStates Old task .pb files from previous runs were left on disk. The periodic CleanupCompletedTasks still loads all files to find completed ones — the same expensive 4GB path from the pprof profile. Now at startup, DeleteAllTaskStates removes all .pb files by scanning the directory without reading or deserializing them. The scanner will re-detect any tasks still needed from live cluster state. * fix(admin): don't persist terminal tasks to disk CompleteTask was saving failed/completed tasks to disk where they'd accumulate. The periodic cleanup only triggered for completed tasks, not failed ones. Now terminal tasks are deleted from disk immediately and only kept in memory for the current session's UI. * fix(admin): cap in-memory tasks to 100 per job type Without a limit, the task map grows unbounded — balance could create thousands of pending tasks for a cluster with many imbalanced volumes. Now AddTask rejects new tasks when a job type already has 100 in the queue. The scanner will re-detect skipped volumes on the next scan. * fix(admin): address PR review - memory-only purge, active-only capacity - purgeTerminalTasks now only cleans in-memory map (terminal tasks are already deleted from disk by CompleteTask) - Per-type capacity limit counts only active tasks (pending/assigned/ in_progress), not terminal ones - When at capacity, purge terminal tasks first before rejecting * fix(admin): fix orphaned comment, add TaskStatusCancelled to terminal switch - Move hasQueuedOrActiveTaskForVolume comment to its function definition - Add TaskStatusCancelled to the terminal state switch in CompleteTask so cancelled task files are deleted from disk |
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Chris LuandGitHub
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995dfc4d5d |
chore: remove ~50k lines of unreachable dead code (#8913)
* chore: remove unreachable dead code across the codebase Remove ~50,000 lines of unreachable code identified by static analysis. Major removals: - weed/filer/redis_lua: entire unused Redis Lua filer store implementation - weed/wdclient/net2, resource_pool: unused connection/resource pool packages - weed/plugin/worker/lifecycle: unused lifecycle plugin worker - weed/s3api: unused S3 policy templates, presigned URL IAM, streaming copy, multipart IAM, key rotation, and various SSE helper functions - weed/mq/kafka: unused partition mapping, compression, schema, and protocol functions - weed/mq/offset: unused SQL storage and migration code - weed/worker: unused registry, task, and monitoring functions - weed/query: unused SQL engine, parquet scanner, and type functions - weed/shell: unused EC proportional rebalance functions - weed/storage/erasure_coding/distribution: unused distribution analysis functions - Individual unreachable functions removed from 150+ files across admin, credential, filer, iam, kms, mount, mq, operation, pb, s3api, server, shell, storage, topology, and util packages * fix(s3): reset shared memory store in IAM test to prevent flaky failure TestLoadIAMManagerFromConfig_EmptyConfigWithFallbackKey was flaky because the MemoryStore credential backend is a singleton registered via init(). Earlier tests that create anonymous identities pollute the shared store, causing LookupAnonymous() to unexpectedly return true. Fix by calling Reset() on the memory store before the test runs. * style: run gofmt on changed files * fix: restore KMS functions used by integration tests * fix(plugin): prevent panic on send to closed worker session channel The Plugin.sendToWorker method could panic with "send on closed channel" when a worker disconnected while a message was being sent. The race was between streamSession.close() closing the outgoing channel and sendToWorker writing to it concurrently. Add a done channel to streamSession that is closed before the outgoing channel, and check it in sendToWorker's select to safely detect closed sessions without panicking. |
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Chris LuandGitHub
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2604ec7deb |
Remove min_interval_seconds from plugin workers; vacuum default to 17m (#8790)
remove min_interval_seconds from plugin workers and default vacuum interval to 17m The worker-level min_interval_seconds was redundant with the admin-side DetectionIntervalSeconds, complicating scheduling logic. Remove it from vacuum, volume_balance, erasure_coding, and ec_balance handlers. Also change the vacuum default DetectionIntervalSeconds from 2 hours to 17 minutes to match the previous default behavior. |
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 Chris Lu
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55bce53953 | reduce logs | ||
 
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c19f88eef1 |
fix: resolve ServerAddress to NodeId in maintenance task sync (#8508)
* fix: maintenance task topology lookup, retry, and stale task cleanup 1. Strip gRPC port from ServerAddress in SyncTask using ToHttpAddress() so task targets match topology disk keys (NodeId format). 2. Skip capacity check when topology has no disks yet (startup race where tasks are loaded from persistence before first topology update). 3. Don't retry permanent errors like "volume not found" - these will never succeed on retry. 4. Cancel all pending tasks for each task type before re-detection, ensuring stale proposals from previous cycles are cleaned up. This prevents stale tasks from blocking new detection and from repeatedly failing. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * logs Co-Authored-By: Copilot <223556219+Copilot@users.noreply.github.com> * less lock scope Co-Authored-By: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Chris LuandGitHub
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b9e560dcf1 |
Prevent overlapping maintenance tasks per volume (#8463)
* Prevent concurrent maintenance tasks per volume * fix panic |
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b4c7d42a06 |
fix(admin): release mutex before disk I/O in maintenance queue; remove per-request LoadAllTaskStates (#8433)
* fix(admin): release mutex before disk I/O in maintenance queue saveTaskState performs synchronous BoltDB writes. Calling it while holding mq.mutex.Lock() in AddTask, GetNextTask, and CompleteTask blocks all readers (GetTasks via RLock) for the full disk write duration on every task state change. During a maintenance scan AddTasksFromResults calls AddTask for every volume — potentially hundreds of times — meaning the write lock is held almost continuously. The HTTP handler for /maintenance calls GetTasks which blocks on RLock, exceeding the 30s timeout and returning 408 to the browser. Fix: update in-memory state (mq.tasks, mq.pendingTasks) under the lock as before, then unlock before calling saveTaskState. In-memory state is the authoritative source; persistence is crash-recovery only and does not require lock protection during the write. * fix(admin): add mutex to ConfigPersistence to synchronize tasks/ filesystem ops saveTaskState is now called outside mq.mutex, meaning SaveTaskState, LoadAllTaskStates, DeleteTaskState, and CleanupCompletedTasks can be invoked concurrently from multiple goroutines. ConfigPersistence had no internal synchronization, creating races on the tasks/ directory: - concurrent os.WriteFile + os.ReadFile on the same .pb file could yield a partial read and unmarshal error - LoadAllTaskStates (ReadDir + per-file ReadFile) could see a directory entry for a file being written or deleted concurrently - CleanupCompletedTasks (LoadAllTaskStates + DeleteTaskState) could race with SaveTaskState on the same file Fix: add tasksMu sync.Mutex to ConfigPersistence, acquired at the top of SaveTaskState, LoadTaskState, LoadAllTaskStates, DeleteTaskState, and CleanupCompletedTasks. Extract private Locked helpers so that CleanupCompletedTasks (which holds tasksMu) can call them internally without deadlocking. --------- Co-authored-by: Anton Ustyugov <anton@devops> |
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19c18d827a |
admin: fix capacity leak in maintenance system by preserving Task IDs (#8214)
* admin: fix capacity leak in maintenance system by preserving Task IDs Preserve the original TaskID generated during detection and sync task states (Assign/Complete/Retry) with ActiveTopology. This ensures that capacity reserved during task assignment is properly released when a task completes or fails, preventing 'need 9, have 0' capacity exhaustion. Fixes https://github.com/seaweedfs/seaweedfs/issues/8202 * Update weed/admin/maintenance/maintenance_queue.go Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * Update weed/admin/maintenance/maintenance_queue.go Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * test: rename ActiveTopologySync to TaskIDPreservation Rename the test case to more accurately reflect its scope, as suggested by the code review bot. * Add TestMaintenanceQueue_ActiveTopologySync to verify task state synchronization and capacity management * Implement task assignment rollback and add verification test * Enhance ActiveTopology.CompleteTask to support pending tasks * Populate storage impact in MaintenanceIntegration.SyncTask * Release capacity in RemoveStaleWorkers when worker becomes unavailable * Release capacity in MaintenanceManager.CancelTask when pending task is cancelled * Sync reloaded tasks with ActiveTopology in LoadTasksFromPersistence * Add verification tests for consistent capacity management lifecycle * Add TestMaintenanceQueue_RetryCapacitySync to verify capacity tracking during retries --------- Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> |
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Chris Lu
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000e2bd4a9 | logging and debugging | ||
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Chris LuandGitHub
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72a8f598f2 |
Fix Maintenance Task Sorting and Refactor Log Persistence (#8199)
* fix float stepping * do not auto refresh * only logs when non 200 status * fix maintenance task sorting and cleanup redundant handler logic * Refactor log retrieval to persist to disk and fix slowness - Move log retrieval to disk-based persistence in GetMaintenanceTaskDetail - Implement background log fetching on task completion in worker_grpc_server.go - Implement async background refresh for in-progress tasks - Completely remove blocking gRPC calls from the UI path to fix 10s timeouts - Cleanup debug logs and performance profiling code * Ensure consistent deterministic sorting in config_persistence cleanup * Replace magic numbers with constants and remove debug logs - Added descriptive constants for truncation limits and timeouts in admin_server.go and worker_grpc_server.go - Replaced magic numbers with these constants throughout the codebase - Verified removal of stdout debug printing - Ensured consistent truncation logic during log persistence * Address code review feedback on history truncation and logging logic - Fix AssignmentHistory double-serialization by copying task in GetMaintenanceTaskDetail - Fix handleTaskCompletion logging logic (mutually exclusive success/failure logs) - Remove unused Timeout field from LogRequestContext and sync select timeouts with constants - Ensure AssignmentHistory is only provided in the top-level field for better JSON structure * Implement goroutine leak protection and request deduplication - Add request deduplication in RequestTaskLogs to prevent multiple concurrent fetches for the same task - Implement safe cleanup in timeout handlers to avoid race conditions in pendingLogRequests map - Add a 10s cooldown for background log refreshes in GetMaintenanceTaskDetail to prevent spamming - Ensure all persistent log-fetching goroutines are bounded and efficiently managed * Fix potential nil pointer panics in maintenance handlers - Add nil checks for adminServer in ShowTaskDetail, ShowMaintenanceWorkers, and UpdateTaskConfig - Update getMaintenanceQueueData to return a descriptive error instead of nil when adminServer is uninitialized - Ensure internal helper methods consistently check for adminServer initialization before use * Strictly enforce disk-only log reading - Remove background log fetching from GetMaintenanceTaskDetail to prevent timeouts and network calls during page view - Remove unused lastLogFetch tracking fields to clean up dead code - Ensure logs are only updated upon task completion via handleTaskCompletion * Refactor GetWorkerLogs to read from disk - Update /api/maintenance/workers/:id/logs endpoint to use configPersistence.LoadTaskExecutionLogs - Remove synchronous gRPC call RequestTaskLogs to prevent timeouts and bad gateway errors - Ensure consistent log retrieval behavior across the application (disk-only) * Fix timestamp parsing in log viewer - Update task_detail.templ JS to handle both ISO 8601 strings and Unix timestamps - Fix "Invalid time value" error when displaying logs fetched from disk - Regenerate templates * master: fallback to HDD if SSD volumes are full in Assign * worker: improve EC detection logging and fix skip counters * worker: add Sync method to TaskLogger interface * worker: implement Sync and ensure logs are flushed before task completion * admin: improve task log retrieval with retries and better timeouts * admin: robust timestamp parsing in task detail view |
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Chris LuandGitHub
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13dcf445a4 |
Fix maintenance worker panic and add EC integration tests (#8068)
* Fix nil pointer panic in maintenance worker when receiving empty task assignment When a worker requests a task and none are available, the admin server sends an empty TaskAssignment message. The worker was attempting to log the task details without checking if the TaskId was empty, causing a nil pointer dereference when accessing taskAssign.Params.VolumeId. This fix adds a check for empty TaskId before processing the assignment, preventing worker crashes and improving stability in production environments. * Add EC integration test for admin-worker maintenance system Adds comprehensive integration test that verifies the end-to-end flow of erasure coding maintenance tasks: - Admin server detects volumes needing EC encoding - Workers register and receive task assignments - EC encoding is executed and verified in master topology - File read-back validation confirms data integrity The test uses unique absolute working directories for each worker to prevent ID conflicts and ensure stable worker registration. Includes proper cleanup and process management for reliable test execution. * Improve maintenance system stability and task deduplication - Add cross-type task deduplication to prevent concurrent maintenance operations on the same volume (EC, balance, vacuum) - Implement HasAnyTask check in ActiveTopology for better coordination - Increase RequestTask timeout from 5s to 30s to prevent unnecessary worker reconnections - Add TaskTypeNone sentinel for generic task checks - Update all task detectors to use HasAnyTask for conflict prevention - Improve config persistence and schema handling * Add GitHub Actions workflow for EC integration tests Adds CI workflow that runs EC integration tests on push and pull requests to master branch. The workflow: - Triggers on changes to admin, worker, or test files - Builds the weed binary - Runs the EC integration test suite - Uploads test logs as artifacts on failure for debugging This ensures the maintenance system remains stable and worker-admin integration is validated in CI. * go version 1.24 * address comments * Update maintenance_integration.go * support seconds * ec prioritize over balancing in tests |
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Chris LuandGitHub
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c260e6a22e |
Fix issue #7880: Tasks use Volume IDs instead of ip:port (#7881)
* Fix issue #7880: Tasks use Volume IDs instead of ip:port When volume servers are registered with custom IDs, tasks were attempting to connect using the ID instead of the actual ip:port address, causing connection failures. Modified task detection logic in balance, erasure coding, and vacuum tasks to resolve volume server IDs to their actual ip:port addresses using ActiveTopology information. * Use server addresses directly instead of translating from IDs Modified VolumeHealthMetrics to include ServerAddress field populated directly from topology DataNodeInfo.Address. Updated task detection logic to use addresses directly without runtime lookups. Changes: - Added ServerAddress field to VolumeHealthMetrics - Updated maintenance scanner to populate ServerAddress - Modified task detection to use ServerAddress for Node fields - Updated DestinationPlan to include TargetAddress - Removed runtime address lookups in favor of direct address usage * Address PR comments: add ServerAddress field, improve error handling - Add missing ServerAddress field to VolumeHealthMetrics struct - Add warning in vacuum detection when server not found in topology - Improve error handling in erasure coding to abort task if sources missing - Make vacuum task stricter by skipping if server not found in topology * Refactor: Extract common address resolution logic into shared utility - Created weed/worker/tasks/util/address.go with ResolveServerAddress function - Updated balance, erasure_coding, and vacuum detection to use the shared utility - Removed code duplication and improved maintainability - Consistent error handling across all task types * Fix critical issues in task address resolution - Vacuum: Require topology availability and fail if server not found (no fallback to ID) - Ensure all task types consistently fail early when topology is incomplete - Prevent creation of tasks that would fail due to missing server addresses * Address additional PR feedback - Add validation for empty addresses in ResolveServerAddress - Remove redundant serverAddress variable in vacuum detection - Improve robustness of address resolution * Improve error logging in vacuum detection - Include actual error details in log message for better diagnostics - Make error messages consistent with other task types |
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Chris LuandGitHub
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5b86d33c3c |
Fix worker reconnection race condition causing context canceled errors (#7825)
* Fix worker reconnection race condition causing context canceled errors Fixes #7824 This commit fixes critical connection stability issues between admin server and workers that manifested as rapid reconnection cycles with 'context canceled' errors, particularly after 24+ hours of operation in containerized environments. Root Cause: ----------- Race condition where TWO goroutines were calling stream.Recv() on the same gRPC bidirectional stream concurrently: 1. sendRegistrationSync() started a goroutine that calls stream.Recv() 2. handleIncoming() also calls stream.Recv() in a loop Per gRPC specification, only ONE goroutine can call Recv() on a stream at a time. Concurrent Recv() calls cause undefined behavior, manifesting as 'context canceled' errors and stream corruption. The race occurred during worker reconnection: - Sometimes sendRegistrationSync goroutine read the registration response first (success) - Sometimes handleIncoming read it first, causing sendRegistrationSync to timeout - This left the stream in an inconsistent state, triggering 'context canceled' error - The error triggered rapid reconnection attempts, creating a reconnection storm Why it happened after 24 hours: Container orchestration systems (Docker Swarm/Kubernetes) periodically restart pods. Over time, workers reconnect multiple times. Each reconnection had a chance of hitting the race condition. Eventually the race manifested and caused the connection storm. Changes: -------- weed/worker/client.go: - Start handleIncoming and handleOutgoing goroutines BEFORE sending registration - Use sendRegistration() instead of sendRegistrationSync() - Ensures only ONE goroutine (handleIncoming) calls stream.Recv() - Eliminates race condition entirely weed/admin/dash/worker_grpc_server.go: - Clean up old connection when worker reconnects with same ID - Cancel old connection context to stop its goroutines - Prevents resource leaks and stale connection accumulation Impact: ------- Before: Random 'context canceled' errors during reconnection, rapid reconnection cycles, resource leaks, requires manual restart to recover After: Reliable reconnection, single Recv() goroutine, proper cleanup, stable operation over 24+ hours Testing: -------- Build verified successful with no compilation errors. How to reproduce the bug: 1. Start admin server and worker 2. Restart admin server (simulates container recreation) 3. Worker reconnects 4. Race condition may manifest, causing 'context canceled' error 5. Observe rapid reconnection cycles in logs The fix is backward compatible and requires no configuration changes. * Add MaxConnectionAge to gRPC server for Docker Swarm DNS handling - Configure MaxConnectionAge and MaxConnectionAgeGrace for gRPC server - Expand error detection in shouldInvalidateConnection for better cache invalidation - Add connection lifecycle logging for debugging * Add topology validation and nil-safety checks - Add validation guards in UpdateTopology to prevent invalid updates - Add nil-safety checks in rebuildIndexes - Add GetDiskCount method for diagnostic purposes * Fix worker registration race condition - Reorder goroutine startup in WorkerStream to prevent race conditions - Add defensive cleanup in unregisterWorker with panic-safe channel closing * Add comprehensive topology update logging - Enhance UpdateTopologyInfo with detailed logging of datacenter/node/disk counts - Add metrics logging for topology changes * Add periodic diagnostic status logging - Implement topologyStatusLoop running every 5 minutes - Add logTopologyStatus function reporting system metrics - Run as background goroutine in maintenance manager * Enhance master client connection logging - Add connection timing logs in tryConnectToMaster - Add reconnection attempt counting in KeepConnectedToMaster - Improve diagnostic visibility for connection issues * Remove unused sendRegistrationSync function - Function is no longer called after switching to asynchronous sendRegistration - Contains the problematic concurrent stream.Recv() pattern that caused race conditions - Cleanup as suggested in PR review * Clarify comment for channel closing during disconnection - Improve comment to explain why channels are closed and their effect - Make the code more self-documenting as suggested in PR review * Address code review feedback: refactor and improvements - Extract topology counting logic to shared helper function CountTopologyResources() to eliminate duplication between topology_management.go and maintenance_integration.go - Use gRPC status codes for more robust error detection in shouldInvalidateConnection(), falling back to string matching for transport-level errors - Add recover wrapper for channel close consistency in cleanupStaleConnections() to match unregisterWorker() pattern * Update grpc_client_server.go * Fix data race on lastSeen field access - Add mutex protection around conn.lastSeen = time.Now() in WorkerStream method - Ensures thread-safe access consistent with cleanupStaleConnections * Fix goroutine leaks in worker reconnection logic - Close streamExit in reconnect() before creating new connection - Close streamExit in attemptConnection() when sendRegistration fails - Prevents orphaned handleOutgoing/handleIncoming goroutines from previous connections - Ensures proper cleanup of goroutines competing for shared outgoing channel * Minor cleanup improvements for consistency and clarity - Remove redundant string checks in shouldInvalidateConnection that overlap with gRPC status codes - Add recover block to Stop() method for consistency with other channel close operations - Maintains valuable DNS and transport-specific error detection while eliminating redundancy * Improve topology update error handling - Return descriptive errors instead of silently preserving topology for invalid updates - Change nil topologyInfo case to return 'rejected invalid topology update: nil topologyInfo' - Change empty DataCenterInfos case to return 'rejected invalid topology update: empty DataCenterInfos (had X nodes, Y disks)' - Keep existing glog.Warningf calls but append error details to logs before returning errors - Allows callers to distinguish rejected updates and handle them appropriately * Refactor safe channel closing into helper method - Add safeCloseOutgoingChannel helper method to eliminate code duplication - Replace repeated recover blocks in Stop, unregisterWorker, and cleanupStaleConnections - Improves maintainability and ensures consistent error handling across all channel close operations - Maintains same panic recovery behavior with contextual source identification * Make connection invalidation string matching case-insensitive - Convert error string to lowercase once for all string.Contains checks - Improves robustness by catching error message variations from different sources - Eliminates need for separate 'DNS resolution' and 'dns' checks - Maintains same error detection coverage with better reliability * Clean up warning logs in UpdateTopology to avoid duplicating error text - Remove duplicated error phrases from glog.Warningf messages - Keep concise contextual warnings that don't repeat the fmt.Errorf content - Maintain same error returns for backward compatibility * Add robust validation to prevent topology wipeout during master restart - Reject topology updates with 0 nodes when current topology has nodes - Prevents transient empty topology from overwriting valid state - Improves resilience during master restart scenarios - Maintains backward compatibility for legitimate empty topology updates |
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chrislu
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b7ba6785a2 | go fmt | ||
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Chris LuandGitHub
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97f3028782 |
Clean up logs and deprecated functions (#7339)
* less logs * fix deprecated grpc.Dial |
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25bbf4c3d4 |
Admin UI: Fetch task logs (#7114)
* show task details * loading tasks * task UI works * generic rendering * rendering the export link * removing placementConflicts from task parameters * remove TaskSourceLocation * remove "Server ID" column * rendering balance task source * sources and targets * fix ec task generation * move info * render timeline * simplified worker id * simplify * read task logs from worker * isValidTaskID * address comments * Update weed/worker/tasks/balance/execution.go Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update weed/worker/tasks/erasure_coding/ec_task.go Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update weed/worker/tasks/task_log_handler.go Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * fix shard ids * plan distributing shard id * rendering planned shards in task details * remove Conflicts * worker logs correctly * pass in dc and rack * task logging * Update weed/admin/maintenance/maintenance_queue.go Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * display log details * logs have fields now * sort field keys * fix link * fix collection filtering * avoid hard coded ec shard counts --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> |
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Chris LuandGitHub
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0975968e71 |
admin: Refactor task destination planning (#7063)
* refactor planning into task detection * refactoring worker tasks * refactor * compiles, but only balance task is registered * compiles, but has nil exception * avoid nil logger * add back ec task * setting ec log directory * implement balance and vacuum tasks * EC tasks will no longer fail with "file not found" errors * Use ReceiveFile API to send locally generated shards * distributing shard files and ecx,ecj,vif files * generate .ecx files correctly * do not mount all possible EC shards (0-13) on every destination * use constants * delete all replicas * rename files * pass in volume size to tasks |
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891a2fb6eb |
Admin: misc improvements on admin server and workers. EC now works. (#7055)
* initial design * added simulation as tests * reorganized the codebase to move the simulation framework and tests into their own dedicated package * integration test. ec worker task * remove "enhanced" reference * start master, volume servers, filer Current Status ✅ Master: Healthy and running (port 9333) ✅ Filer: Healthy and running (port 8888) ✅ Volume Servers: All 6 servers running (ports 8080-8085) 🔄 Admin/Workers: Will start when dependencies are ready * generate write load * tasks are assigned * admin start wtih grpc port. worker has its own working directory * Update .gitignore * working worker and admin. Task detection is not working yet. * compiles, detection uses volumeSizeLimitMB from master * compiles * worker retries connecting to admin * build and restart * rendering pending tasks * skip task ID column * sticky worker id * test canScheduleTaskNow * worker reconnect to admin * clean up logs * worker register itself first * worker can run ec work and report status but: 1. one volume should not be repeatedly worked on. 2. ec shards needs to be distributed and source data should be deleted. * move ec task logic * listing ec shards * local copy, ec. Need to distribute. * ec is mostly working now * distribution of ec shards needs improvement * need configuration to enable ec * show ec volumes * interval field UI component * rename * integration test with vauuming * garbage percentage threshold * fix warning * display ec shard sizes * fix ec volumes list * Update ui.go * show default values * ensure correct default value * MaintenanceConfig use ConfigField * use schema defined defaults * config * reduce duplication * refactor to use BaseUIProvider * each task register its schema * checkECEncodingCandidate use ecDetector * use vacuumDetector * use volumeSizeLimitMB * remove remove * remove unused * refactor * use new framework * remove v2 reference * refactor * left menu can scroll now * The maintenance manager was not being initialized when no data directory was configured for persistent storage. * saving config * Update task_config_schema_templ.go * enable/disable tasks * protobuf encoded task configurations * fix system settings * use ui component * remove logs * interface{} Reduction * reduce interface{} * reduce interface{} * avoid from/to map * reduce interface{} * refactor * keep it DRY * added logging * debug messages * debug level * debug * show the log caller line * use configured task policy * log level * handle admin heartbeat response * Update worker.go * fix EC rack and dc count * Report task status to admin server * fix task logging, simplify interface checking, use erasure_coding constants * factor in empty volume server during task planning * volume.list adds disk id * track disk id also * fix locking scheduled and manual scanning * add active topology * simplify task detector * ec task completed, but shards are not showing up * implement ec in ec_typed.go * adjust log level * dedup * implementing ec copying shards and only ecx files * use disk id when distributing ec shards 🎯 Planning: ActiveTopology creates DestinationPlan with specific TargetDisk 📦 Task Creation: maintenance_integration.go creates ECDestination with DiskId 🚀 Task Execution: EC task passes DiskId in VolumeEcShardsCopyRequest 💾 Volume Server: Receives disk_id and stores shards on specific disk (vs.store.Locations[req.DiskId]) 📂 File System: EC shards and metadata land in the exact disk directory planned * Delete original volume from all locations * clean up existing shard locations * local encoding and distributing * Update docker/admin_integration/EC-TESTING-README.md Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * check volume id range * simplify * fix tests * fix types * clean up logs and tests --------- Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> |
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Chris LuandGitHub
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69553e5ba6 | convert error fromating to %w everywhere (#6995) | ||
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Chris LuandGitHub
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aa66852304 |
Admin UI add maintenance menu (#6944)
* add ui for maintenance * valid config loading. fix workers page. * refactor * grpc between admin and workers * add a long-running bidirectional grpc call between admin and worker * use the grpc call to heartbeat * use the grpc call to communicate * worker can remove the http client * admin uses http port + 10000 as its default grpc port * one task one package * handles connection failures gracefully with exponential backoff * grpc with insecure tls * grpc with optional tls * fix detecting tls * change time config from nano seconds to seconds * add tasks with 3 interfaces * compiles reducing hard coded * remove a couple of tasks * remove hard coded references * reduce hard coded values * remove hard coded values * remove hard coded from templ * refactor maintenance package * fix import cycle * simplify * simplify * auto register * auto register factory * auto register task types * self register types * refactor * simplify * remove one task * register ui * lazy init executor factories * use registered task types * DefaultWorkerConfig remove hard coded task types * remove more hard coded * implement get maintenance task * dynamic task configuration * "System Settings" should only have system level settings * adjust menu for tasks * ensure menu not collapsed * render job configuration well * use templ for ui of task configuration * fix ordering * fix bugs * saving duration in seconds * use value and unit for duration * Delete WORKER_REFACTORING_PLAN.md * Delete maintenance.json * Delete custom_worker_example.go * remove address from workers * remove old code from ec task * remove creating collection button * reconnect with exponential backoff * worker use security.toml * start admin server with tls info from security.toml * fix "weed admin" cli description |