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* 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.
Erasure Coding Integration Tests
This directory contains integration tests for the EC (Erasure Coding) encoding volume location timing bug fix.
The Bug
The bug caused double storage usage during EC encoding because:
- Silent failure: Functions returned
nilinstead of proper error messages - Timing race condition: Volume locations were collected AFTER EC encoding when master metadata was already updated
- Missing cleanup: Original volumes weren't being deleted after EC encoding
This resulted in both original .dat files AND EC .ec00-.ec13 files coexisting, effectively doubling storage usage.
The Fix
The fix addresses all three issues:
- Fixed silent failures: Updated
doDeleteVolumes()anddoEcEncode()to return proper errors - Fixed timing race condition: Created
doDeleteVolumesWithLocations()that uses pre-collected volume locations - Enhanced cleanup: Volume locations are now collected BEFORE EC encoding, preventing the race condition
Integration Tests
TestECEncodingVolumeLocationTimingBug
The main integration test that:
- Simulates master timing race condition: Tests what happens when volume locations are read from master AFTER EC encoding has updated the metadata
- Verifies fix effectiveness: Checks for the "Collecting volume locations...before EC encoding" message that proves the fix is working
- Tests multi-server distribution: Runs EC encoding with 6 volume servers to test shard distribution
- Validates cleanup: Ensures original volumes are properly cleaned up after EC encoding
TestECEncodingMasterTimingRaceCondition
A focused test that specifically targets the master metadata timing race condition:
- Simulates the exact race condition: Tests volume location collection timing relative to master metadata updates
- Detects timing fix: Verifies that volume locations are collected BEFORE EC encoding starts
- Demonstrates bug impact: Shows what happens when volume locations are unavailable after master metadata update
TestECEncodingRegressionPrevention
Regression tests that ensure:
- Function signatures: Fixed functions still exist and return proper errors
- Timing patterns: Volume location collection happens in the correct order
Test Architecture
The tests use:
- Real SeaweedFS cluster: 1 master server + 6 volume servers
- Multi-server setup: Tests realistic EC shard distribution across multiple servers
- Timing simulation: Goroutines and delays to simulate race conditions
- Output validation: Checks for specific log messages that prove the fix is working
Why Integration Tests Were Necessary
Unit tests could not catch this bug because:
- Race condition: The bug only occurred in real-world timing scenarios
- Master-volume server interaction: Required actual master metadata updates
- File system operations: Needed real volume creation and EC shard generation
- Cleanup timing: Required testing the sequence of operations in correct order
The integration tests successfully catch the timing bug by:
- Testing real command execution: Uses actual
ec.encodeshell command - Simulating race conditions: Creates timing scenarios that expose the bug
- Validating output messages: Checks for the key "Collecting volume locations...before EC encoding" message
- Monitoring cleanup behavior: Ensures original volumes are properly deleted
Running the Tests
# Run all integration tests
go test -v
# Run only the main timing test
go test -v -run TestECEncodingVolumeLocationTimingBug
# Run only the race condition test
go test -v -run TestECEncodingMasterTimingRaceCondition
# Skip integration tests (short mode)
go test -v -short
Manual Testing with Makefile
A Makefile is provided for manual EC testing.
Requirements: curl, jq (command-line JSON processor)
# Quick start: start cluster and populate data
make setup
# Open weed shell to run EC commands
make shell
# Individual targets
make start # Start test cluster (master + 6 volume servers + filer)
make stop # Stop test cluster
make populate # Populate ~300MB of test data
make status # Show cluster and EC shard status
make clean # Stop cluster and remove all test data
make help # Show all targets
EC Rebalance Limited Slots (Unit Test)
The "no free ec shard slots" issue is tested with a unit test that works directly on topology data structures without requiring a running cluster.
Location: weed/shell/ec_rebalance_slots_test.go
Tests included:
TestECRebalanceWithLimitedSlots: Tests a topology with 6 servers, 7 EC volumes (98 shards)TestECRebalanceZeroFreeSlots: Reproduces the exact 0 free slots scenario
Known Issue: When volume servers are at capacity (volumeCount == maxVolumeCount),
the rebalance step fails with "no free ec shard slots" instead of recognizing that
moving shards frees slots on source servers.
Test Results
With the fix: Shows "Collecting volume locations for N volumes before EC encoding..." message Without the fix: No collection message, potential timing race condition
The tests demonstrate that the fix prevents the volume location timing bug that caused double storage usage in EC encoding operations.