Commit Graph
11 Commits
Author SHA1 Message Date
Junker der Provinz 8d2c0273bd admin: stop the maintenance scanner pinning itself to one scan per second after a transient failure (#10887)
* admin: honour persisted task configs when building the maintenance policy

buildPolicyFromTaskConfigs passed a literal nil to vacuum, erasure_coding
and balance LoadConfigFromPersistence. Those functions look for their
LoadXTaskPolicy() accessor via a type assertion, which a nil interface can
never satisfy, so every call fell through to NewDefaultConfig() and the
policy came back with the compiled-in defaults - Enabled: true among them.
A task disabled on disk was therefore still scheduled, and the only trace
was a glog.V(1) "Using default ... configuration" line.

Thread the real ConfigPersistence through instead. There are two copies of
this function: the one in weed/admin/dash builds config.Policy on the
normal admin startup path and can simply take cp as its receiver, and the
one in weed/admin/maintenance is the fallback used when the config carries
no policy yet, which now receives the store from NewMaintenanceManager.
weed/admin/dash already imports weed/admin/maintenance, so the maintenance
side has to keep the duck-typed interface{} parameter that the task
loaders already use rather than importing the concrete type back.

The store is only handed over when a data directory is configured: an
unconfigured one has nothing to read, and a typed nil pointer would pass
the loaders' type assertion and then panic on first use.

Fixes #10874

* admin: restore the maintenance scan cadence after an error backoff

scanLoop shortens its ticker to the error backoff delay after a failed
scan, but it decided whether to replace the ticker by comparing the
target interval against the configured scan interval instead of against
the interval the ticker was actually running at. Once the errors stopped,
getScanInterval returned the configured interval again, the comparison
came out false, and the ticker was left at the backoff delay - so a
single transient scan failure pinned the scanner to one scan per second
for the rest of the process lifetime. That is the ~1/second cadence in
issue #10874: 658 KB/s of "Cancelled N stale pending balance tasks
before re-detection" and 193k orphaned task files over two days.

Track the interval the ticker is running at and compare against that, so
both entering the backoff and returning to the normal cadence replace the
ticker.

While in here:

- defer ticker.Stop() bound the ticker that was current when the defer
  was registered, so every replacement ticker leaked on return. Wrap it
  in a closure.
- running was written by Start/Stop and read by all three background
  loops without synchronisation. Guard it with the existing mutex, fold
  the running check in triggerScanInternal into the lock it already
  takes, and make Stop a no-op when not running so a second call cannot
  close the stop channel twice.

Refs #10874

* admin: make the maintenance policy actually reach the task detectors

Loading the persisted task configs into the maintenance policy only
matters if something reads that policy, and nothing did.

MaintenanceIntegration pushes the policy into every registered detector
and scheduler through interface{ SetEnabled(bool) } and
interface{ SetMaxConcurrent(int) } type assertions. Every task registered
through base.RegisterTask is backed by base.GenericDetector and
base.GenericScheduler, and neither implemented either method, so all four
assertions failed silently for every task on every startup. The policy's
enabled flag reached nothing: ScanWithTaskDetectors gates on
detector.IsEnabled(), and the queue's policy lookups for max concurrent
and repeat interval are fallbacks that only fire when the scheduler
reports zero, which the generic scheduler never does.

Add the setters, delegating to the TaskConfig.SetEnabled the interface
already declares and to TaskDefinition.MaxConcurrent, which is what
GetMaxConcurrent returns.

Applying the policy required three more fixes, because with the
assertions working the policy could now do damage as well as good:

- IsTaskEnabled reports false for a task type the policy has no entry
  for, so applying it unconditionally would have disabled every task the
  policy does not list. Skip task types with no policy entry: no entry
  means no opinion, not disabled.

- ec_balance was exactly such a task. It is registered like the other
  three but had no entry in the policy builder and no accessor on
  ConfigPersistence at all, so its configuration could never be
  persisted. Add SaveEcBalanceTaskPolicy/LoadEcBalanceTaskPolicy, the
  task_ec_balance.pb file, the SaveTaskPolicy dispatcher case, and the
  policy entry.

- InitMaintenanceManager ran before loadTaskConfigurationsFromPersistence,
  which replaces each task's whole config object, so the policy was
  applied and then immediately thrown away. Swap the order. Both read the
  same files, so the policy is now the last writer and stays
  authoritative.

MaintenanceManager.UpdateConfig also updated the queue's and the
scanner's policy but not the integration's, so a policy changed at
runtime never reached the detectors. Add MaintenanceIntegration.SetPolicy
and call it.

While building the policy, stop hand-copying each task's fields and use
the task's own ToTaskPolicy(). The hand-written version was a second
definition of every task's policy and had already lost the erasure coding
preferred tags and replica placement and the balance IO rate limit. For
the same reason, the "nothing persisted yet" branches of
LoadVacuumTaskPolicy, LoadErasureCodingTaskPolicy and
LoadBalanceTaskPolicy now derive from each task's NewDefaultConfig()
instead of a third hand-written copy. Those copies had drifted, so with a
data directory but no config file on disk the effective defaults differed
from what the task and the admin UI schema both advertise:

  vacuum          scan interval  24h  -> 2h
  balance         scan interval   6h  -> 30m
  balance         imbalance      0.1  -> 0.2
  erasure coding  scan interval 168h  -> 1h
  erasure coding  fullness      0.90  -> 0.95
  erasure coding  min volume   1024MB -> 30MB

Finally, weed/admin/dash and weed/admin/maintenance each carried a copy
of the policy builder and they had already diverged. Export the
maintenance one as BuildPolicyFromTaskConfigs and have dash call it.

Refs #10874

* worker: warn when a config store cannot supply a task's persisted config

LoadConfigFromPersistence logged a single glog.V(1) "Using default X
configuration" for every way of not loading anything, so the bug in
issue #10874 - a store handed in that the type assertion rejects, leaving
a task running on compiled-in defaults - looked exactly like the normal
"no data directory configured" case. The reporter had to read the source
to work out why their disabled task kept running, and asked for this
specifically.

Separate the cases. A non-nil store that does not provide the accessor is
always a wiring bug and is now logged at warning level, naming the type
and the missing method. A read error or a policy that will not apply is
also a warning. No persistence configured, and a store with nothing saved
yet, stay at V(1): those are normal.

Refs #10874

* admin: stop GetTaskPolicy panicking on a maintenance policy that is nil

GetTaskPolicy dereferenced its MaintenancePolicy argument to look at
TaskPolicies, so IsTaskEnabled, GetMaxConcurrent and GetRepeatInterval
all took the admin process down when handed a nil policy. A nil policy is
not a programming error here: MaintenanceConfig.Policy is unset until
something builds one, DefaultMaintenanceConfig returns a config with no
policy at all, and UpdateConfig installs whatever config it is given.
Found by calling IsTaskEnabled with the policy from a freshly defaulted
MaintenanceConfig.

Treat a nil policy as "no entry": no task enabled, the safe concurrency
default of 1, and a repeat interval of 0 so callers fall back to their
own default instead of reading DefaultRepeatIntervalSeconds off nil.

Also add the startup test this was found with. It walks the admin
server's startup sequence over a data directory that has balance saved as
disabled and checks the state that decides whether issue #10874 happens:
the balance detector reports disabled, vacuum stays enabled, and tasks
whose config was never saved keep their compiled-in default.

Refs #10874

* admin: document the synchronisation SetPolicy would need beyond startup

ConfigureTasksFromPolicy now really writes TaskDefinition.Config and
TaskDefinition.MaxConcurrent, which the scan loop reads through
detector.IsEnabled() with nothing synchronising the two. Every caller
runs during admin server startup today, before the scan loop exists, so
there is no live race - but the next caller has to add the locking, and
the same already applies to UpdateAllConfigs replacing the whole config
object. Write it down at the seam instead of leaving it to be
rediscovered.

Refs #10874
2026-08-22 23:41:45 -07:00
Chris Lu 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.
2026-05-20 23:31:21 -07:00
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>
2026-03-04 19:20:28 -08:00
Chris Luandgemini-code-assist[bot] 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>
2026-02-04 20:39:34 -08:00
Chris Lu 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
2026-01-20 15:07:43 -08:00
Chris Lu 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
2025-12-19 19:02:56 -08:00
chrislu b7ba6785a2 go fmt 2025-10-27 23:04:55 -07:00
Chris Lu 97f3028782 Clean up logs and deprecated functions (#7339)
* less logs

* fix deprecated grpc.Dial
2025-10-17 22:11:50 -07:00
Chris Lu 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
2025-08-01 11:18:32 -07:00
Chris Luandgemini-code-assist[bot] 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>
2025-07-30 12:38:03 -07:00
Chris Lu 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
2025-07-06 13:57:02 -07:00