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21
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Chris Lu
|
68ec8ca655 |
admin: honor a persisted or admin.toml maintenance enabled=false (#10909)
* admin: honor a persisted or admin.toml maintenance enabled=false The startup path discarded an operator's enabled=false twice over: ApplyDefaultsToProtobuf treated the bool zero value as unset and applied the schema default of true, and a force-enable migration block flipped any survivor. With the legacy /maintenance UI routes gone, nothing could write the config either, so the maintenance system ran unconditionally. Keep the persisted enabled flag across schema-default application in LoadMaintenanceConfig, drop the force-enable block, and add a top-level [maintenance] enabled key to admin.toml as the config surface, persisted through SaveMaintenanceConfig like the per-task settings. Absent config still defaults to enabled. * admin: track presence on the maintenance enabled flag A plain proto3 bool cannot distinguish an operator's persisted false from a legacy file that simply omits the field, so honoring false would have silently switched maintenance off for configs written before the toggle could be persisted. Make the field optional: files that predate presence tracking keep the enabled default, while a file that explicitly persists the toggle is honored either way. |
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Chris Lu
|
4f50c5b0d4 |
feat: throughput limits for replicate, EC shard, and worker-driven moves (#10749)
* feat: throughput limits for replicate, EC shard, and worker-driven moves VolumeCopy was the only rate-limitable transfer; EC shard copies, replica creation, and worker-driven moves all ran at whatever the receiving server's maintenance rate allowed, with no per-operation control. - proto: VolumeEcShardsCopyRequest and the balance / ec_balance task params and configs gain io_byte_per_second; 0 keeps today's behavior (the volume server's own maintenance rate governs). - volume server: VolumeEcShardsCopy throttles with one WriteThrottler per request, shared across the shard, .ecx, .ecj, .vif, and .ecsum copies so the limit caps the transfer as a whole - the same shape as VolumeCopy. - volume_move: ReplicateVolume accepts the limit; EcMoveOptions carries it through MoveEcShards/CopyAndMountEcShards into the copy request, with fake-client tests asserting propagation. - shell: ec.balance gains -ioBytePerSecond; volume.tier.move's replication top-up honors the command's existing -ioBytePerSecond instead of running unthrottled. - worker: balance and ec_balance configs gain io_byte_per_second (surfaced in the admin config schema), carried through detection and plugin job parameters into task params and handed to the shared mover; batch balance jobs inherit the limit from their detection results. The limit is per copy stream, so maxParallelization multiplies the aggregate ceiling. * worker plugins: expose io_byte_per_second in the plugin config and derive it The plugin-driven detection path derives its task Config from the plugin configuration values, and both balance and ec_balance left IoBytePerSecond at zero there - a configured limit silently reverted to the server maintenance rate. Both derive functions now read the field (clamped at zero), and the plugin descriptors expose it with defaults so the configuration form carries it. |
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Chris Lu
|
a7d5443125 |
ec: confirm a surviving copy before deleting a duplicate EC shard (#10719)
* ec: confirm a surviving copy before deleting a duplicate EC shard The dedup phase of EC balancing removes a shard it believes exists elsewhere. It copies nothing first, so the shard surviving on another node is the only thing that makes the delete safe -- and it took the plan's word for that. The plan is built from the master's topology, which can name a location that holds nothing: such a server answers "CopyFile not found ec volume id N" when something later tries to read the shard there. A shard listed on a phantom location and on a real one looks duplicated, so dedup deletes one of them. When it picks the real one the last copy is gone, and the job reports success -- the loss only surfaces later, as a rebuild that cannot assemble enough shards. The move phase already refuses to work on trust: it verifies the shard registered on the destination before removing the source. Dedup now holds to the same standard. The planner records which node it chose to keep, and both executors -- the worker task and the shell's ec.balance -- confirm that node really holds the shard before deleting. A keep node that cannot be queried is unknown rather than confirmed, and blocks the delete. Tests drive the destructive path against an in-process volume server that tracks what is actually on disk separately from what the plan claims, which is the distinction the bug turns on. Without the guard, two of them fail by deleting the only copy and returning success. * ec: check the collection and bound the wait when confirming a survivor Two gaps in the dedup survivor check. The inventory RPC is keyed by volume id alone, so a server holding the same number for a different collection answers "yes, I have that shard" to a question about this one. Accepting that deletes the last real copy on the strength of an unrelated volume. The response already carries the collection, so verify against it rather than widening the RPC. The shell path also queried on a background context, so a keep node that accepts the connection but never answers would hang the whole balance run instead of reporting that the survivor could not be confirmed. Bound it. The check moves into VerifyShardsOnServer next to the existing helper, shared by both executors, so the two paths cannot drift. |
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Chris Lu
|
284796c7b6 |
fix(ec): fence stale-worker EC shard cleanup by encode generation (#9953)
* feat(ec): add encode_ts_ns to the EC task params, shard-unmount, and shard-delete RPCs The generation fence for stale EC-worker cleanup needs the encode generation on three messages: ErasureCodingTaskParams (admin issues it), VolumeEcShardsUnmountRequest, and VolumeEcShardsDeleteRequest (the worker carries it to the volume server). Additive fields only; 0 preserves the existing unfenced behavior. Mirror the two volume-server fields in the Rust volume server's proto copy. * feat(ec): issue the EC encode generation from the admin and carry it on the worker Stamp each EC proposal's encode_ts_ns from the admin's per-cycle DetectionSequence (a single-clock value) so generations are globally ordered even though detection runs on a rotating worker. The worker writes that generation into the distributed .vif and passes it on its shard unmount/delete RPCs; it falls back to a local timestamp for the .vif only on the unfenced legacy/shell path (keeping the read guard on). * fix(ec): fence the stale-worker EC shard unmount and teardown by generation A reaped-but-still-running EC worker's cleanupStaleEcShards issued a generation-blind unmount + full teardown that could unmount and then overwrite a newer run's live shards on a shared node. Both RPCs now carry the encode generation: the volume server unmounts/deletes a disk only when its .vif generation is strictly older than the request, and preserves a same-or-newer generation, a generation-0 (recovered or pre-upgrade) volume, and an unreadable .vif. Unload is per-disk, never node-wide. Request generation 0 keeps the blanket teardown for the shell pre-encode cleanup and pre-upgrade callers. Mirrored in the Rust volume server. * test(ec): cover the generation-fenced teardown and unmount End-to-end volume-server tests: a fenced FullTeardown wipes a strictly- older generation, preserves a newer one, preserves a generation-0 volume, and blanket-wipes on request generation 0; the gen-aware unmount preserves a same-or-newer mounted generation; and the .vif generation reader handles present/absent/no-config cases. * test(ec): pin the fenced .vif==teardown generation and the unreadable-.vif preserve A fenced run must stamp the admin generation verbatim into the .vif so it matches the generation sent on the teardown RPCs; add a regression test that sets the task generation and asserts the .vif carries it exactly. Also cover the present-but-unparseable .vif case (reads as generation 0, preserved) and correct the readEcGenerationTsNs docstring accordingly. * fix(ec): surface EC full-teardown filesystem errors in the Rust volume server remove_ec_volume_files(_full_teardown) discarded every fs::remove_file error, so a teardown that failed on permissions or a full disk still returned full_teardown_done=true and left stale artifacts to collide with the next encode. Return io::Result, ignore NotFound, propagate the first real error, and have the teardown RPC surface it -- matching the Go contract. The best-effort reconcile/load-cleanup callers keep ignoring it. * refactor(ec): reuse the EC volume lookup on unmount and short-circuit the gen read Address review: the Rust unmount fence reuses the ec_vol it already fetched instead of a second find_ec_volume; the Go .vif generation reader breaks out of the data/idx loop early when the two dirs are the same. |
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Chris Lu
|
0566fbd552 |
EC encode: place shards via ecbalancer.Place + configurable replica placement (#9623)
* Add shared super_block.ResolveReplicaPlacement; use it in ec_balance
* Add ecbalancer.FromActiveTopology snapshot constructor for EC encode/repair
* Add ecbalancer.Place greenfield/repair placement core (strict + durability-first)
* topology: add GetEffectiveAvailableEcShardSlots; FromActiveTopology uses shard-granular free slots
GetDisksWithEffectiveCapacity flattens reserved shard slots into volume slots via
integer truncation, so an in-flight EC task reserving a non-multiple-of-
DataShardsCount number of shards was lost from the snapshot and freeSlots was
over-reported. GetEffectiveAvailableEcShardSlots subtracts the full reservation
impact at shard granularity.
* ecbalancer.Place: reject nodes without a free disk of the requested type
FromActiveTopology keeps all disk types in the snapshot, so an SSD-only request
could be routed to a node with only HDD capacity (pickBestDiskOnNode then returns
disk 0 on the wrong tier). Filter rack/node selection to those with a free disk
of the requested type.
* ecbalancer.Place: enforce ReplicaPlacement DiffDataCenterCount (per-DC shard cap)
* ecbalancer: enforce DiffDataCenterCount in balance (cross-DC phase + cross-rack DC cap)
Adds a cross-DC corrective phase that drains data centers holding more than
DiffDataCenterCount shards of a volume, and a per-DC cap on cross-rack move
targets. Both are no-ops when DiffDataCenterCount is unset, so balance output is
unchanged for non-DC placements.
* topology: ratio-aware EC shard slots and provisional empty-disk slot
GetEffectiveAvailableEcShardSlots now takes the target collection's data-shard
count, so a 4+2 volume's larger shards are not over-counted at 10 per volume slot;
and it keeps the one provisional slot for freshly started empty servers that
report max=0, matching getEffectiveAvailableCapacityUnsafe. FromActiveTopology
threads the ratio through.
* ecbalancer.Place: explicit disk-type filter signal (fix HDD vs any ambiguity)
HardDriveType normalizes to "", which collided with "" meaning any disk. Add
Constraints.FilterDiskType and normalize both sides so a hdd request matches disks
reported as "" and never leaks to SSD, while filter=false still means any.
* ecbalancer: add clearShardAccounting for repair snapshot reconciliation
Clears one disk's copy of a shard from per-domain accounting and recomputes the
node-level union (preserving a kept copy on another disk of the same node), without
crediting capacity. Repair uses it to drop to-be-deleted copies before placing
missing shards.
* ecbalancer: don't cap cross-DC target racks when DiffRackCount is unset
len(racks)+1 wrongly limited each target rack (3 in a 2-rack cluster), so draining
a DC could stop short of the DiffDataCenterCount cap. Use MaxShardCount+1 as the
effectively-unlimited default.
* topology/ecbalancer: ratio-correct EC capacity accounting
Reservation shard slots (default ShardsPerVolumeSlot units) are now converted to
the target ratio before subtracting, and existing EC shards are charged by size
(targetDataShards/shardDataShards) so a 2+1 shard isn't counted as one 10+4 slot.
Per-shard ratio lookup is behind shardDataShards (OSS uses the standard ratio).
* ecbalancer.Place: candidate tiering and eligible-rack caps
Adds a per-disk eligibility/preference abstraction so Place supports:
- preferred-tag whole-plan retry (try disks carrying the earliest tags first,
widen to all only if a tier cannot place every shard; reports
SpilledOutsidePreferredTags),
- soft disk-type spill via DiskTypePolicy (Any/Prefer/Require): Prefer fills the
preferred type then spills, reporting SpilledToOtherDiskType; Require filters,
- even per-rack caps that divide by racks holding an eligible disk, so a tiered
cluster (e.g. SSDs in 2 of 4 racks) isn't capped impossibly low.
Disk tags carried via Node.AddDiskTags + FromActiveTopology.
* ecbalancer: export ClearShardAccounting for repair snapshot reconciliation
* ecbalancer: address review feedback (ratio rounding, bitmap walk, same-DC moves)
- topology/ecbalancer: round shard-reservation and existing-shard footprint up
when converting to target-ratio shard slots, so a sub-slot reservation is not
truncated to zero and free capacity is not overstated for low-data-shard
layouts (targetDataShards < ds).
- erasure_coding: add ShardBits.All iterator and use it across the balancer,
cross-DC phase, and placement scoring instead of scanning 0..MaxShardCount and
probing Has on every id.
- ecbalancer: allow same-DC cross-rack moves when a DC already sits at its
DiffDataCenterCount cap; a same-DC move leaves the DC total unchanged. Add a
regression test that fails without the guard.
- ecbalancer cross-DC phase: pick targets via the eligible-aware
pickNodeInRackEligible/pickBestDiskEligible helpers so the disk-type filter is
honored and a 0 disk id is not mistaken for a valid selection.
* ecbalancer: test ecShardSlotsOnDisk fractional round-up
Cover the mixed-ratio path (targetDataShards < existing data shards) so a
shard's fractional footprint is never floored to zero and free capacity is not
overstated. Exercises the round-up via the targetDataShards parameter; OSS uses
the standard ratio at runtime while the enterprise build hits it with real
per-volume ratios.
* ecbalancer: assert node B rack in TestFromActiveTopology
* ecbalancer: split Destination into separate DataCenter and bare Rack
Replace the composite "dc:rack" Rack field on Destination with separate
DataCenter and bare Rack values, matching topology.DiskInfo and the worker-task
convention. Callers (and tests) read the data center directly instead of parsing
the composite with strings.SplitN.
* shell ec.balance: use utilization-based global balancing (parity with worker)
The shell's global rebalance phase balanced by raw shard count; switch it to
fractional fullness (shards/capacity), as the worker already does. On uniform
capacity the two agree; on heterogeneous capacity it fills nodes proportionally
instead of driving small-capacity nodes toward full.
Updates the heterogeneous-capacity regression test to assert even fullness
(~equal shards/capacity per node) rather than even shard count.
* ecbalancer: bounded-proportional per-DC shard spread
DiffDataCenterCount was enforced only as a ceiling (drain-to-cap), which could
leave a within-cap-but-lopsided DC distribution under a loose cap (e.g. 10/4 of 14
with cap=10). Now the cross-DC phase, the cross-rack DC guard, and Place all target
boundedMaxPerDC = min(DiffDataCenterCount, max(ceil(total/numDCs), parityShards)):
shards spread proportionally across DCs, but no tighter than the durability floor
(once each DC holds <= parityShards a DC loss is recoverable, so further spreading
only adds cross-DC/WAN traffic). No-op when DiffDataCenterCount is 0; identical to
before when the cap is the binding constraint.
* ecbalancer: drop DiffDataCenterCount enforcement for EC placement
The 1-byte volume ReplicaPlacement packs xyz into x*100+y*10+z<=255, so the DC
digit can only be 0-2 -- far too small to be a meaningful per-DC EC shard cap (a
cap of 1-2 would demand 7-14 DCs for a 10+4 volume). It's volume replica-placement,
not an EC spec. Removes the cross-DC balance phase, the DC guard in the cross-rack
phase, and the per-DC cap in Place (and the just-added bounded-proportional logic);
EC relies on the RP-independent rack/node even spread instead. Rack/node caps
(DiffRackCount/SameRackCount) are unchanged. Per-domain EC caps are left for a real
EC placement spec.
* ecbalancer: enforce per-disk durability cap; symmetric reserve/release
Place now refuses to put more than parityShards shards of a volume on a single
disk (pickBestDiskEligible skips a disk once it holds parityShards of the volume,
a hard cap not relaxed even in durability-first). Previously Place assigned by
free capacity, so a skewed near-full cluster could pile >parityShards onto one
disk -> losing it loses the volume; only distinct-disk count was checked. This
covers encode and repair (both route through Place); the caller skips/leaves the
volume rather than minting an unrecoverable layout.
Also makes reserveShard decrement freeSlots unconditionally, symmetric with
releaseShard's unconditional increment (the old guarded decrement could credit a
phantom slot on release if a shard were ever reserved onto a full disk).
* ecbalancer: add Topology.ReleaseVolumeShards (clear + credit) for greenfield encode
Releases all of a volume's shards from the snapshot and credits the freed disk
capacity, so a greenfield encode can plan as if stale EC shards from a prior failed
attempt are gone. Safe to credit because the encode task deletes stale shards
(cleanupStaleEcShards) before distributing the new ones. Distinct from
ClearShardAccounting (repair), which does not credit.
* ecbalancer: ReleaseVolumeShards credits node freeSlots, not just disks
releaseShard only increments per-disk freeSlots, but rack capacity is summed from
node freeSlots (buildRacks) and node freeSlots gates node eligibility. Crediting
only disks left a node/rack looking full after releasing stale shards, so a
greenfield encode still couldn't use the freed capacity. Now credits the node by
the total disk-slots freed.
* ecbalancer: correct PlacementMode docs (encode uses durability-first)
PlaceStrict was labeled '(encode)' but encode uses PlaceDurabilityFirst. Clarify
that durability-first is used by both encode and repair, reports relaxations in
PlaceResult.Relaxed, and never relaxes the per-disk durability cap.
* ecbalancer: treat SameRackCount as a direct per-node shard cap
The 3rd ReplicaPlacement digit now caps shards per node at exactly the digit
value, matching how DiffRackCount (2nd digit) caps per rack, instead of allowing
digit+1 per node. This makes the per-rack and per-node caps consistent and
matches the documented "digits cap EC shards per rack and per node" semantics;
e.g. 011 now means at most one shard per rack and one per node.
* EC encode: place shards via ecbalancer.Place + configurable replica placement
Encode now plans destinations through the shared ecbalancer.Place policy
(durability-first: prefers the source disk type and honors replica placement /
caps / anti-affinity, relaxing rather than failing when capacity is tight) instead
of the EC-only placement planner. Targets and capacity reservations use Place's
actual per-disk shard assignment, not a round-robin guess; cross-volume in-cycle
capacity is tracked by ActiveTopology's pending task, so the cached planner is no
longer consulted. Adds a configurable replica_placement (proto field 6 + worker
form + reader) that overrides the master default replication.
The placement-package planner code is left in place (now unused) and removed in a
follow-up that drops the package.
* EC encode: drop unused dataShards param from createECTargets
Addresses review feedback: after switching to Place's per-disk shardsPerPlan
assignment, createECTargets no longer needs the data-shard count.
* EC encode: fix packed-target validation, greenfield stale-shard accounting, RP docs
- Validate counts distinct shard ids across targets, not target rows, so packed
plans (fewer (node,disk) targets than shards) aren't rejected.
- planECDestinations releases the volume's stale EC shards from the snapshot before
Place (ReleaseVolumeShards), crediting their capacity. The encode task deletes
stale shards before distributing, so a retry on tight capacity no longer fails
planning by counting shards that are about to be removed.
- replica_placement config/form help no longer claims a data-center limit (the DC
digit is ignored for EC); detection logs a warning when a DC digit is set.
* EC encode: surface relaxed placement; mark replica_placement best-effort
Encode places with PlaceDurabilityFirst (the chosen lenient behavior), which can
relax caps/anti-affinity/replica-placement to avoid deferring. That was silent
(only disk-type/tag spills were logged). Now logs PlaceResult.Relaxed so a tight
replica placement isn't weakened unnoticed, and the config/form help states the
rack/node caps are best-effort during encode (enforced by rebalancing).
* EC encode: key per-disk shard grouping by struct, not formatted string
planECDestinations grouped destinations using a fmt.Sprintf("%s:%d") map key
per shard; use a {node,diskID} struct key and pre-size the map/slice to the
shard count to drop the per-shard string allocation.
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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.
|
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|
Chris Lu
|
532b088262 |
fix(ec): preserve source disk type across EC encoding (#9423) (#9449)
* fix(ec): carry source disk type on VolumeEcShardsMount (#9423) When EC shards land on a target whose disk type differs from the source volume's, master heartbeats wrongly reported under the target disk's type. Add source_disk_type to VolumeEcShardsMountRequest; the target server applies it to the in-memory EcVolume via SetDiskType so the mount notification and steady-state heartbeat both carry the source's disk type. Empty value falls back to the location's disk type (used by disk-scan reload paths). The override is not persisted with the volume — disk type stays an environmental property and .vif remains portable. * fix(ec): plumb source disk type through plugin worker (#9423) Add source_disk_type to ErasureCodingTaskParams (field 8; 7 reserved), populate it from the metric the detector already collects, thread it through ec_task into the MountEcShards helper, and forward it on the VolumeEcShardsMount RPC. * fix(ec): mirror source disk type plumbing in rust volume server (#9423) The volume_ec_shards_mount handler now forwards source_disk_type into mount_ec_shard → DiskLocation::mount_ec_shards. When non-empty it overrides ec_vol.disk_type (and each mounted shard's disk_type) via the new set_disk_type method; empty value keeps the location's disk type, so disk-scan reload and reconcile paths are unchanged. Also picks up two pre-existing proto drifts that 'make gen' synced from weed/pb (LockRingUpdate in master.proto, listing_cache_ttl_seconds in remote.proto). * feat(ec): bias placement toward preferred disk type (#9423) Add DiskCandidate.DiskType and PlacementRequest.PreferredDiskType. When PreferredDiskType is non-empty, SelectDestinations partitions suitable disks into matching/fallback tiers and runs the rack/server/ disk-diversity passes on the matching tier first; the fallback tier is only consulted if the matching pool can't satisfy ShardsNeeded. PlacementResult.SpilledToOtherDiskType lets callers warn on spillover. Empty PreferredDiskType keeps the existing single-pool behavior. * fix(ec): plumb source disk type into placement planner (#9423) diskInfosToCandidates now copies DiskInfo.DiskType into the placement candidate, and ecPlacementPlanner.selectDestinations forwards metric.DiskType as PreferredDiskType so EC shards land on disks matching the source volume's disk type when possible. A glog warning fires when placement had to spill to other disk types. * test(ec): integration coverage for source-disk-type plumbing (#9423) store_ec_disk_type_test exercises Store.MountEcShards end-to-end: a shard physically lives on an HDD location, MountEcShards is called with sourceDiskType="ssd", and the test asserts that the in-memory EcVolume, the mounted shard, the NewEcShardsChan notification, and the steady-state heartbeat all report under the source's disk type. A companion test pins the empty-source path so disk-scan reload keeps the location's disk type. detection_disk_type_test exercises the worker plumbing: with a cluster of nodes carrying both HDD and SSD disks, planECDestinations must place every shard on SSD when metric.DiskType="ssd"; with only one SSD node and 13 HDD nodes it must still satisfy a 10+4 layout via spillover (and log a warning). * revert(ec): drop unrelated proto drift in seaweed-volume/proto (#9423) make gen pulled two pre-existing OSS changes into the rust proto tree (LockRingUpdate / by_plugin in master.proto, listing_cache_ttl_seconds in remote.proto). Reviewers flagged it as scope creep — none of the rust EC fix references those fields. Restore both files to origin/master so this branch only touches EC-related symbols. * fix(ec placement): treat empty disk type as hdd and skip used racks on spill (#9423) partitionByDiskType used raw string comparison, so a PreferredDiskType of "hdd" never matched candidates whose DiskType is "" (the HardDriveType sentinel that weed/storage/types uses). EC encoding of an HDD source would spill onto any HDD reporting "" even when the cluster has plenty of matching capacity. Normalize both sides through normalizeDiskType, which lowercases and folds "" → "hdd", mirroring types.ToDiskType without taking a dependency on it. selectFromTier's rack-diversity pass also kept revisiting racks the preferred tier had already used when running on the fallback tier, which negated PreferDifferentRacks on spillover. Skip racks already in usedRacks so fallback placements still spread onto new racks. * fix(ec): empty-source remount must not clobber existing disk type (#9423) mount_ec_shards_with_idx_dir runs more than once per vid (RPC mount, disk-scan reload, orphan-shard reconcile). After an RPC sets the source-derived disk type, any later call passing source_disk_type="" was resetting ec_vol.disk_type back to the location's value, which reintroduces the heartbeat drift this PR is meant to fix. Only default to the location's disk type when the EC volume is fresh (no shards mounted yet); otherwise leave the recorded type alone so empty-source reloads preserve whatever the original mount RPC set. |
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Chris Lu
|
3a76c0b027 |
feat(worker/proto): per-shard READ — add S3LifecycleParams.shard_id (#9353)
READ moves from a cluster-singleton to one task per (bucket, key-prefix-hash) shard. Cluster has 16 shards; workers receive one READ task per owned shard. Required for READ; ignored for BOOTSTRAP and DRAIN. |
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Chris Lu
|
4e10669221 |
docs(s3/lifecycle): event-driven redesign (#9346)
* docs(s3/lifecycle): event-driven redesign
Replaces the synchronous PUT-handler walk with an event-driven worker
model: meta-log reader subscribed to one filer, client-side heap merge
with per-filer-shard MessagePosition cursors, bucket-level bootstrap
with inline delete, blocked-cursor handling for fatal events, durable
retry budget for sustained-transient promotion, retention mode gate
that downgrades reader-driven rules to scan_only when log retention
falls below the rule's event-log horizon.
* docs(s3/lifecycle): record Phase 0 verified assumptions
ReadPersistedLogBuffer payload carries Extended (event marshaled via
SubscribeMetadataResponse → ToProtoEntry). Meta-log files at
topics/.system/log/<date>/<HH-MM>.<filerId> are written without TtlSec
in filer_notify_append.go; retention is unbounded by default and only
shrinks if an operator sets a filer.conf rule with a TTL on the
SystemLogDir prefix. .versions/ filenames are v_<16h-ts><16h-rand>
with old/new (inverted) format distinguished by threshold
0x4000000000000000; getVersionTimestamp / compareVersionIds give
format-agnostic ordering for successor-version discovery.
* feat(s3/lifecycle): rule evaluator and dueAt helper
Evaluate(rule, info, now) returns the EvalResult by object shape:
IsMPUInit -> AbortMultipartUpload, IsDeleteMarker -> ExpireDeleteMarker
when sole survivor, IsLatest -> DeleteObject (Days or Date), non-current
-> DeleteVersion (Days fallback to ModTime when SuccessorModTime is
zero; NewerNoncurrent retention enforced when both are set).
ComputeDueAt mirrors Evaluate's shape and returns the earliest eligible
wall-clock time for the same (rule, info), used by the reader/bootstrap
to decide pending vs inline-delete.
Adds StatusEnabled/Disabled and SmallDelay consts and an IsMPUInit
flag on ObjectInfo so .uploads/<id>/ entries route to AbortMPU without
overloading IsLatest.
No callers; package compiles standalone.
* feat(s3/lifecycle): MinTriggerAge for safety-scan cadence
Returns the smallest non-zero day threshold across the rule's actions.
Used as max(MinTriggerAge, kindFloor) for the per-kind cadence; date,
count-only, and delete-marker-only rules return 0 so callers fall
through to their kind-specific floor.
* feat(s3/lifecycle): EventLogHorizon for retention mode gate
Returns the maximum event age the reader needs for a rule. Days-based
kinds return their day threshold; pure NewerNoncurrent (count) and
ExpiredObjectDeleteMarker return SmallDelay. Date rules return 0 (the
gate skips them). Multi-action rules take the max — strictest horizon
wins.
Drives the Phase 2 mode gate: metaLogRetention < EventLogHorizon(rule)
+ bootstrapLookbackMin -> scan_only with RETENTION_BELOW_HORIZON.
* feat(s3/lifecycle): RuleHash for per-rule state CAS
sha256 over canonicalized form, first 8 bytes. Stable across tag-key
reorder, prefix trailing-slash variation, ID renames, and Status flips
(state continuity is preserved when an operator toggles
Enabled/Disabled). Different action shapes — different days, filter,
or action type — hash differently.
Used by the per-rule state directory layout
/etc/s3/lifecycle/<bucket>/<rule_hash_hex>/ and by the bootstrap
detector's reconcile-on-PUT.
* feat(s3/lifecycle): add s3_lifecycle.proto storage schema
Defines the durable types backing the lifecycle worker:
LifecycleState (per-rule mode + bootstrap_complete + degraded_reason
incl. RETENTION_BELOW_HORIZON / LOST_LOG), PendingItem, EntryIdentity,
BootstrapState, ReaderState (per-filer-shard cursors plus
tail_drained_streams marker), BlockerRecord (rule_hash optional for
pre-evaluation failures), RetryBudgetEntry with the four-shape
StreamKey oneof, and RetryTarget (no action / no expected_identity —
retry replays handler against current state).
No callers; schema only. Wired into the pb Makefile.
* feat(s3/lifecycle): add S3LifecycleParams to TaskParams
Wires lifecycle subroutines into the existing worker dispatch.
Subtype is READ (cluster-singleton meta-log reader), BOOTSTRAP
(per-bucket walker), or DRAIN (per-rule pending). bucket / rule_hash
populated for the latter two; ContinuationHint is an advisory resume
point for kill-resumable BOOTSTRAP / READ.
oneof tag = 14, after the existing ec_balance_params at 13.
* fix(s3/lifecycle): noncurrent delete markers honor NoncurrentDays
A non-current delete marker is just another version per AWS S3 spec
and is eligible under NoncurrentVersionExpirationDays. The
IsDeleteMarker special case is meant only for the *current* delete
marker (sole-survivor ExpiredObjectDeleteMarker action), so guard
that switch arm with IsLatest. Without IsLatest, the bootstrap walker
silently skipped pre-existing non-current delete markers under a
NoncurrentDays rule because ComputeDueAt returned zero.
Mirrors the same fix in evaluate.go so the runtime decision matches.
* fix(s3/lifecycle): preserve prefix trailing slash in RuleHash
"logs" and "logs/" match different object sets under literal
strings.HasPrefix semantics: "logs" matches "logsmore/x", "logs/" does
not. Collapsing them in the hash would let an XML edit silently bind
the new rule to the previous rule's durable state directory, causing
stale bootstrap_complete and stale pending entries against a rule
that now matches a different set.
* fix(s3/lifecycle): add UNSPECIFIED sentinels to enum zero values
Proto3 best practice: enum 0 should be an _UNSPECIFIED sentinel, not
an active value. Persisted state schemas care most: a partially
populated payload (or one written by an older binary that didn't set
the field) would otherwise silently default to a semantically active
value.
- LifecycleState.RuleKind: shifts EXPIRATION_DAYS..EXPIRED_DELETE_MARKER
from 0..5 to 1..6, with RULE_KIND_UNSPECIFIED at 0.
- LifecycleState.RuleMode: shifts EVENT_DRIVEN..PENDING_BOOTSTRAP from
0..4 to 1..5.
- LifecycleState.DegradedReason: replaces NONE=0 with
DEGRADED_REASON_UNSPECIFIED=0 (operators treat both as healthy).
- StreamKind: shifts ORIGINAL..PENDING from 0..3 to 1..4.
- S3LifecycleParams.Subtype: shifts READ..DRAIN from 0..2 to 1..3, so
an unset subtype no longer routes into the cluster-singleton READ task.
No on-disk state has been written yet; renumbering is safe.
* docs(s3/lifecycle): per-action state, not per-rule
A single AWS lifecycle XML <Rule> can declare multiple actions in
parallel (e.g. ExpirationDays=90 + AbortMPU=7 + NoncurrentDays=30).
Each must drive its own delay/horizon/mode/pending stream
independently. Modeling the rule as one compiled entry with one kind
collapses these — picking the smallest delay (7d MPU) means the 90d
expiration cursor advances past objects that aren't yet due, and the
90d action never re-fires.
Restructure storage to per-action: every XML rule expands into N
compiled actions; state lives at <bucket>/<rule_hash>/<action_kind>/.
The intermediate rule_hash directory keeps a rule's actions grouped
for operator listing. Each action has its own state file with its own
mode + bootstrap_complete + degraded_reason; sibling actions of the
same rule can degrade independently.
* fix(s3/lifecycle): per-action proto schema + safety-scan counters
Realigns the durable schema with the per-action storage model and the
safety-scan contract in the design doc.
- Promote LifecycleState.RuleKind to a top-level ActionKind enum and
rename rule_kind -> action_kind. The same enum now also keys
BootstrapKey, PendingKey, and BlockerRecord so per-action streams
under one rule never collapse.
- LifecycleState now keyed by (rule_hash, action_kind). Added
last_safety_scan_ts_ns / next_safety_scan_ts_ns and the four
observability counters the design specifies (evaluated_total,
expired_total, metadata_only_total, error_total). Dropped
last_evaluated_ns, deleted_total, skipped_object_lock_total, and
pending_size — subsumed or out-of-band.
- BlockerRecord.action_kind is OPTIONAL (UNSPECIFIED for
pre-evaluation failures, just like rule_hash).
No on-disk state has been written yet; the renumbering / rename is
free.
* fix(s3/lifecycle): per-action MinTriggerAge / EventLogHorizon helpers
The retention mode gate and safety-scan cadence run on each compiled
action independently. Taking a "min/max across all actions in the
rule" — as the previous helpers did — was wrong: a 90d ExpirationDays
sibling alongside a 7d AbortMPU action would cause the 90d cursor to
advance at 7d (because MinTriggerAge picked the smallest), and the
ExpirationDays action would never re-fire on objects that aged past
the 7d sweep window before reaching 90d.
Both helpers now take an ActionKind and return the threshold for that
specific action only. Returns 0 if the rule does not declare the
requested kind, which makes the gate a no-op and the cadence fall
through to the kind floor.
Also adds RuleActionKinds(rule), the canonical expansion that the
engine uses at compile time to turn one XML rule into N compiled
actions. NewerNoncurrentVersions paired with NoncurrentDays is
subsumed into a single NONCURRENT_DAYS action (AWS-paired
conditions); only when NewerNoncurrent stands alone does it become
NEWER_NONCURRENT.
* fix(s3/lifecycle): length-prefix RuleHash to remove delimiter ambiguity
The previous encoding used "tag=K=V\n" lines, which is ambiguous: a
tag (a=b, c) serializes identically to (a, b=c). A prefix containing
"\nexp_days=99" could likewise forge an action field. Either could
silently bind two semantically different rules to the same per-rule
state directory.
Switch to a length-prefixed canonical form: each scalar is written as
<field-tag-byte> <uvarint-length> <bytes>. Field-tag bytes namespace
each scalar so ("a=b" tag-key) and ("a" tag-key with "=b" leakage)
can't collide. Three regression tests pin the resistance.
* docs(s3/lifecycle): ActionKey is the engine identity, not rule_hash
Finishes the per-action restructure across the engine pseudocode,
bootstrap completion, drain locks, detector paths, policy CAS, and
Phase 2 plan. Every per-action data structure — engine indexes,
target modes, newly-completed sets, bootstrap completion bits, drain
keys, locks, metrics, status — is now keyed by
ActionKey{rule_hash, action_kind}, not by rule_hash alone.
Without this, sibling actions under one XML rule still shared
scheduling state in the engine: originalDelayGroups holding
[]ruleHash means a rule's 7d AbortMPU and 90d ExpirationDays
collapse into one entry, the smaller delay wins for cursor advance,
and the larger sibling never re-fires.
Helper API tightened: EvaluateAction(rule, kind, info, now) and
ComputeDueAt(rule, kind, info) replace the aggregate-rule signatures
so a caller asks one specific action's eligibility against one
entry, never "any action of this rule." Drain task lock includes
action_kind so siblings have independent re-arm timers. Policy CAS
moves from rule_hash to ActionKey membership.
* fix(s3/lifecycle): kind-aware EvaluateAction / ComputeDueAt
Replaces the aggregate-rule signatures with per-action ones:
EvaluateAction(rule, kind, info, now) and ComputeDueAt(rule, kind,
info). The old Evaluate(rule, info, now) could return the verdict of
ANY action declared on the rule, which sat wrong with the per-action
engine indexing (each ActionKey has its own delay group, mode, and
pending stream).
Each helper now decides exactly one (rule, kind) compiled action's
fate against one entry. Asking for a kind the rule doesn't declare,
or asking against the wrong object shape for that kind, returns
ActionNone / zero — never silently routes to a sibling.
Multi-action regression test: a rule with ExpirationDays=90 and
AbortMPU=7 evaluates each kind independently for the same entry; the
7d window has no influence on the 90d eligibility decision.
|
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Chris Lu
|
a838661b83 |
feat(plugin): EC shard balance handler for plugin worker (#8629)
* feat(ec_balance): add TaskTypeECBalance constant and protobuf definitions Add the ec_balance task type constant to both topology and worker type systems. Define EcBalanceTaskParams, EcShardMoveSpec, and EcBalanceTaskConfig protobuf messages for EC shard balance operations. * feat(ec_balance): add configuration for EC shard balance task Config includes imbalance threshold, min server count, collection filter, disk type, and preferred tags for tag-aware placement. * feat(ec_balance): add multi-phase EC shard balance detection algorithm Implements four detection phases adapted from the ec.balance shell command: 1. Duplicate shard detection and removal proposals 2. Cross-rack shard distribution balancing 3. Within-rack node-level shard balancing 4. Global shard count equalization across nodes Detection is side-effect-free: it builds an EC topology view from ActiveTopology and generates move proposals without executing them. * feat(ec_balance): add EC shard move task execution Implements the shard move sequence using the same VolumeEcShardsCopy, VolumeEcShardsMount, VolumeEcShardsUnmount, and VolumeEcShardsDelete RPCs as the shell ec.balance command. Supports both regular shard moves and dedup-phase deletions (unmount+delete without copy). * feat(ec_balance): add task registration and scheduling Register EC balance task definition with auto-config update support. Scheduling respects max concurrent limits and worker capabilities. * feat(ec_balance): add plugin handler for EC shard balance Implements the full plugin handler with detection, execution, admin and worker config forms, proposal building, and decision trace reporting. Supports collection/DC/disk type filtering, preferred tag placement, and configurable detection intervals. Auto-registered via init() with the handler registry. * test(ec_balance): add tests for detection algorithm and plugin handler Detection tests cover: duplicate shard detection, cross-rack imbalance, within-rack imbalance, global rebalancing, topology building, collection filtering, and edge cases. Handler tests cover: config derivation with clamping, proposal building, protobuf encode/decode round-trip, fallback parameter decoding, capability, and config policy round-trip. * fix(ec_balance): address PR review feedback and fix CI test failure - Update TestWorkerDefaultJobTypes to expect 6 handlers (was 5) - Extract threshold constants (ecBalanceMinImbalanceThreshold, etc.) to eliminate magic numbers in Descriptor and config derivation - Remove duplicate ShardIdsToUint32 helper (use erasure_coding package) - Add bounds checks for int64→int/uint32 conversions to fix CodeQL integer conversion warnings * fix(ec_balance): address code review findings storage_impact.go: - Add TaskTypeECBalance case returning shard-level reservation (ShardSlots: -1/+1) instead of falling through to default which incorrectly reserves a full volume slot on target. detection.go: - Use dc:rack composite key to avoid cross-DC rack name collisions. Only create rack entries after confirming node has matching disks. - Add exceedsImbalanceThreshold check to cross-rack, within-rack, and global phases so trivial skews below the configured threshold are ignored. Dedup phase always runs since duplicates are errors. - Reserve destination capacity after each planned move (decrement destNode.freeSlots, update rackShardCount/nodeShardCount) to prevent overbooking the same destination. - Skip nodes with freeSlots <= 0 when selecting minNode in global balance to avoid proposing moves to full nodes. - Include loop index and source/target node IDs in TaskID to guarantee uniqueness across moves with the same volumeID/shardID. ec_balance_handler.go: - Fail fast with error when shard_id is absent in fallback parameter decoding instead of silently defaulting to shard 0. ec_balance_task.go: - Delegate GetProgress() to BaseTask.GetProgress() so progress updates from ReportProgressWithStage are visible to callers. - Add fail-fast guard rejecting multiple sources/targets until batch execution is implemented. Findings verified but not changed (matches existing codebase pattern in vacuum/balance/erasure_coding handlers): - register.go globalTaskDef.Config race: same unsynchronized pattern in all 4 task packages. - CreateTask using generated ID: same fmt.Sprintf pattern in all 4 task packages. * fix(ec_balance): harden parameter decoding, progress tracking, and validation ec_balance_handler.go (decodeECBalanceTaskParams): - Validate execution-critical fields (Sources[0].Node, ShardIds, Targets[0].Node, ShardIds) after protobuf deserialization. - Require source_disk_id and target_disk_id in legacy fallback path so Targets[0].DiskId is populated for VolumeEcShardsCopyRequest. - All error messages reference decodeECBalanceTaskParams and the specific missing field (TaskParams, shard_id, Targets[0].DiskId, EcBalanceTaskParams) for debuggability. ec_balance_task.go: - Track progress in ECBalanceTask.progress field, updated via reportProgress() helper called before ReportProgressWithStage(), so GetProgress() returns real stage progress instead of stale 0. - Validate: require exactly 1 source and 1 target (mirrors Execute guard), require ShardIds on both, with error messages referencing ECBalanceTask.Validate and the specific field. * fix(ec_balance): fix dedup execution path, stale topology, collection filter, timeout, and dedupeKey detection.go: - Dedup moves now set target=source so isDedupPhase() triggers the unmount+delete-only execution path instead of attempting a copy. - Apply moves to in-memory topology between phases via applyMovesToTopology() so subsequent phases see updated shard placement and don't conflict with already-planned moves. - detectGlobalImbalance now accepts allowedVids and filters both shard counting and shard selection to respect CollectionFilter. ec_balance_task.go: - Apply EcBalanceTaskParams.TimeoutSeconds to the context via context.WithTimeout so all RPC operations respect the configured timeout instead of hanging indefinitely. ec_balance_handler.go: - Include source node ID in dedupeKey so dedup deletions from different source nodes for the same shard aren't collapsed. - Clamp minServerCountRaw and minIntervalRaw lower bounds on int64 before narrowing to int, preventing undefined overflow on 32-bit. * fix(ec_balance): log warning before cancelling on progress send failure Log the error, job ID, job type, progress percentage, and stage before calling execCancel() in the progress callback so failed progress sends are diagnosable instead of silently cancelling. |
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|
Chris Lu
|
5f85bf5e8a |
Batch volume balance: run multiple moves per job (#8561)
* proto: add BalanceMoveSpec and batch fields to BalanceTaskParams Add BalanceMoveSpec message for encoding individual volume moves, and max_concurrent_moves + repeated moves fields to BalanceTaskParams to support batching multiple volume moves in a single job. * balance handler: add batch execution with concurrent volume moves Refactor Execute() into executeSingleMove() (backward compatible) and executeBatchMoves() which runs multiple volume moves concurrently using a semaphore-bounded goroutine pool. When BalanceTaskParams.Moves is populated, the batch path is taken; otherwise the single-move path. Includes aggregate progress reporting across concurrent moves, per-move error collection, and partial failure support. * balance handler: add batch config fields to Descriptor and worker config Add max_concurrent_moves and batch_size fields to the worker config form and deriveBalanceWorkerConfig(). These control how many volume moves run concurrently within a batch job and the maximum batch size. * balance handler: group detection proposals into batch jobs When batch_size > 1, the Detect method groups detection results into batch proposals where each proposal encodes multiple BalanceMoveSpec entries in BalanceTaskParams.Moves. Single-result batches fall back to the existing single-move proposal format for backward compatibility. * admin UI: add volume balance execution plan and batch badge Add renderBalanceExecutionPlan() for rich rendering of volume balance jobs in the job detail modal. Single-move jobs show source/target/volume info; batch jobs show a moves table with all volume moves. Add batch badge (e.g., "5 moves") next to job type in the execution jobs table when the job has batch=true label. * Update plugin_templ.go * fix: detection algorithm uses greedy target instead of divergent topology scores The detection loop tracked effective volume counts via an adjustments map, but createBalanceTask independently called planBalanceDestination which used the topology's LoadCount — a separate, unadjusted source of truth. This divergence caused multiple moves to pile onto the same server. Changes: - Add resolveBalanceDestination to resolve the detection loop's greedy target (minServer) rather than independently picking a destination - Add oscillation guard: stop when max-min <= 1 since no single move can improve the balance beyond that point - Track unseeded destinations: if a target server wasn't in the initial serverVolumeCounts, add it so subsequent iterations include it - Add TestDetection_UnseededDestinationDoesNotOverload * fix: handler force_move propagation, partial failure, deterministic dedupe - Propagate ForceMove from outer BalanceTaskParams to individual move TaskParams so batch moves respect the force_move flag - Fix partial failure: mark job successful if at least one move succeeded (succeeded > 0 || failed == 0) to avoid re-running already-completed moves on retry - Use SHA-256 hash for deterministic dedupe key fallback instead of time.Now().UnixNano() which is non-deterministic - Remove unused successDetails variable - Extract maxProposalStringLength constant to replace magic number 200 * admin UI: use template literals in balance execution plan rendering * fix: integration test handles batch proposals from batched detection With batch_size=20, all moves are grouped into a single proposal containing BalanceParams.Moves instead of top-level Sources/Targets. Update assertions to handle both batch and single-move proposal formats. * fix: verify volume size on target before deleting source during balance Add a pre-delete safety check that reads the volume file status on both source and target, then compares .dat file size and file count. If they don't match, the move is aborted — leaving the source intact rather than risking irreversible data loss. Also removes the redundant mountVolume call since VolumeCopy already mounts the volume on the target server. * fix: clamp maxConcurrent, serialize progress sends, validate config as int64 - Clamp maxConcurrentMoves to defaultMaxConcurrentMoves before creating the semaphore so a stale or malicious job cannot request unbounded concurrent volume moves - Extend progressMu to cover sender.SendProgress calls since the underlying gRPC stream is not safe for concurrent writes - Perform bounds checks on max_concurrent_moves and batch_size in int64 space before casting to int, avoiding potential overflow on 32-bit * fix: check disk capacity in resolveBalanceDestination Skip disks where VolumeCount >= MaxVolumeCount so the detection loop does not propose moves to a full disk that would fail at execution time. * test: rename unseeded destination test to match actual behavior The test exercises a server with 0 volumes that IS seeded from topology (matching disk type), not an unseeded destination. Rename to TestDetection_ZeroVolumeServerIncludedInBalance and fix comments. * test: tighten integration test to assert exactly one batch proposal With default batch_size=20, all moves should be grouped into a single batch proposal. Assert len(proposals)==1 and require BalanceParams with Moves, removing the legacy single-move else branch. * fix: propagate ctx to RPCs and restore source writability on abort - All helper methods (markVolumeReadonly, copyVolume, tailVolume, readVolumeFileStatus, deleteVolume) now accept a context parameter instead of using context.Background(), so Execute's ctx propagates cancellation and timeouts into every volume server RPC - Add deferred cleanup that restores the source volume to writable if any step after markVolumeReadonly fails, preventing the source from being left permanently readonly on abort - Add markVolumeWritable helper using VolumeMarkWritableRequest * fix: deep-copy protobuf messages in test recording sender Use proto.Clone in recordingExecutionSender to store immutable snapshots of JobProgressUpdate and JobCompleted, preventing assertions from observing mutations if the handler reuses message pointers. * fix: add VolumeMarkWritable and ReadVolumeFileStatus to fake volume server The balance task now calls ReadVolumeFileStatus for pre-delete verification and VolumeMarkWritable to restore writability on abort. Add both RPCs to the test fake, and drop the mountCalls assertion since BalanceTask no longer calls VolumeMount directly (VolumeCopy handles it). * fix: use maxConcurrentMovesLimit (50) for clamp, not defaultMaxConcurrentMoves defaultMaxConcurrentMoves (5) is the fallback when the field is unset, not an upper bound. Clamping to it silently overrides valid config values like 10/20/50. Introduce maxConcurrentMovesLimit (50) matching the descriptor's MaxValue and clamp to that instead. * fix: cancel batch moves on progress stream failure Derive a cancellable batchCtx from the caller's ctx. If sender.SendProgress returns an error (client disconnect, context cancelled), capture it, skip further sends, and cancel batchCtx so in-flight moves abort via their propagated context rather than running blind to completion. * fix: bound cleanup timeout and validate batch move fields - Use a 30-second timeout for the deferred markVolumeWritable cleanup instead of context.Background() which can block indefinitely if the volume server is unreachable - Validate required fields (VolumeID, SourceNode, TargetNode) before appending moves to a batch proposal, skipping invalid entries - Fall back to a single-move proposal when filtering leaves only one valid move in a batch * fix: cancel task execution on SendProgress stream failure All handler progress callbacks previously ignored SendProgress errors, allowing tasks to continue executing after the client disconnected. Now each handler creates a derived cancellable context and cancels it on the first SendProgress error, stopping the in-flight task promptly. Handlers fixed: erasure_coding, vacuum, volume_balance (single-move), and admin_script (breaks command loop on send failure). * fix: validate batch moves before scheduling in executeBatchMoves Reject empty batches, enforce a hard upper bound (100 moves), and filter out nil or incomplete move specs (missing source/target/volume) before allocating progress tracking and launching goroutines. * test: add batch balance execution integration test Tests the batch move path with 3 volumes, max concurrency 2, using fake volume servers. Verifies all moves complete with correct readonly, copy, tail, and delete RPC counts. * test: add MarkWritableCount and ReadFileStatusCount accessors Expose the markWritableCalls and readFileStatusCalls counters on the fake volume server, following the existing MarkReadonlyCount pattern. * fix: oscillation guard uses global effective counts for heterogeneous capacity The oscillation guard (max-min <= 1) previously used maxServer/minServer which are determined by utilization ratio. With heterogeneous capacity, maxServer by utilization can have fewer raw volumes than minServer, producing a negative diff and incorrectly triggering the guard. Now scans all servers' effective counts to find the true global max/min volume counts, so the guard works correctly regardless of whether utilization-based or raw-count balancing is used. * fix: admin script handler breaks outer loop on SendProgress failure The break on SendProgress error inside the shell.Commands scan only exited the inner loop, letting the outer command loop continue executing commands on a broken stream. Use a sendBroken flag to propagate the break to the outer execCommands loop. |
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f5c35240be |
Add volume dir tags and EC placement priority (#8472)
* Add volume dir tags to topology Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add preferred tag config for EC Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Prioritize EC destinations by tags Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add EC placement planner tag tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Refactor EC placement tests to reuse buildActiveTopology Remove buildActiveTopologyWithDiskTags helper function and consolidate tag setup inline in test cases. Tests now use UpdateTopology to apply tags after topology creation, reusing the existing buildActiveTopology function rather than duplicating its logic. All tag scenario tests pass: - TestECPlacementPlannerPrefersTaggedDisks - TestECPlacementPlannerFallsBackWhenTagsInsufficient Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Consolidate normalizeTagList into shared util package Extract normalizeTagList from three locations (volume.go, detection.go, erasure_coding_handler.go) into new weed/util/tag.go as exported NormalizeTagList function. Replace all duplicate implementations with imports and calls to util.NormalizeTagList. This improves code reuse and maintainability by centralizing tag normalization logic. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add PreferredTags to EC config persistence Add preferred_tags field to ErasureCodingTaskConfig protobuf with field number 5. Update GetConfigSpec to include preferred_tags field in the UI configuration schema. Add PreferredTags to ToTaskPolicy to serialize config to protobuf. Add PreferredTags to FromTaskPolicy to deserialize from protobuf with defensive copy to prevent external mutation. This allows EC preferred tags to be persisted and restored across worker restarts. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add defensive copy for Tags slice in DiskLocation Copy the incoming tags slice in NewDiskLocation instead of storing by reference. This prevents external callers from mutating the DiskLocation.Tags slice after construction, improving encapsulation and preventing unexpected changes to disk metadata. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add doc comment to buildCandidateSets method Document the tiered candidate selection and fallback behavior. Explain that for a planner with preferredTags, it accumulates disks matching each tag in order into progressively larger tiers, emits a candidate set once a tier reaches shardsNeeded, and finally falls back to the full candidates set if preferred-tag tiers are insufficient. This clarifies the intended semantics for future maintainers. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Apply final PR review fixes 1. Update parseVolumeTags to replicate single tag entry to all folders instead of leaving some folders with nil tags. This prevents nil pointer dereferences when processing folders without explicit tags. 2. Add defensive copy in ToTaskPolicy for PreferredTags slice to match the pattern used in FromTaskPolicy, preventing external mutation of the returned TaskPolicy. 3. Add clarifying comment in buildCandidateSets explaining that the shardsNeeded <= 0 branch is a defensive check for direct callers, since selectDestinations guarantees shardsNeeded > 0. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix nil pointer dereference in parseVolumeTags Ensure all folder tags are initialized to either normalized tags or empty slices, not nil. When multiple tag entries are provided and there are more folders than entries, remaining folders now get empty slices instead of nil, preventing nil pointer dereference in downstream code. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix NormalizeTagList to return empty slice instead of nil Change NormalizeTagList to always return a non-nil slice. When all tags are empty or whitespace after normalization, return an empty slice instead of nil. This prevents nil pointer dereferences in downstream code that expects a valid (possibly empty) slice. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add nil safety check for v.tags pointer Add a safety check to handle the case where v.tags might be nil, preventing a nil pointer dereference. If v.tags is nil, use an empty string instead. This is defensive programming to prevent panics in edge cases. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add volume.tags flag to weed server and weed mini commands Add the volume.tags CLI option to both the 'weed server' and 'weed mini' commands. This allows users to specify disk tags when running the combined server modes, just like they can with 'weed volume'. The flag uses the same format and description as the volume command: comma-separated tag groups per data dir with ':' separators (e.g. fast:ssd,archive). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Chris Lu
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6bf088cec9 |
IAM Policy Management via gRPC (#8109)
* Add IAM gRPC service definition - Add GetConfiguration/PutConfiguration for config management - Add CreateUser/GetUser/UpdateUser/DeleteUser/ListUsers for user management - Add CreateAccessKey/DeleteAccessKey/GetUserByAccessKey for access key management - Methods mirror existing IAM HTTP API functionality * Add IAM gRPC handlers on filer server - Implement IamGrpcServer with CredentialManager integration - Handle configuration get/put operations - Handle user CRUD operations - Handle access key create/delete operations - All methods delegate to CredentialManager for actual storage * Wire IAM gRPC service to filer server - Add CredentialManager field to FilerOption and FilerServer - Import credential store implementations in filer command - Initialize CredentialManager from credential.toml if available - Register IAM gRPC service on filer gRPC server - Enable credential management via gRPC alongside existing filer services * Regenerate IAM protobuf with gRPC service methods * iam_pb: add Policy Management to protobuf definitions * credential: implement PolicyManager in credential stores * filer: implement IAM Policy Management RPCs * shell: add s3.policy command * test: add integration test for s3.policy * test: fix compilation errors in policy_test * pb * fmt * test * weed shell: add -policies flag to s3.configure This allows linking/unlinking IAM policies to/from identities directly from the s3.configure command. * test: verify s3.configure policy linking and fix port allocation - Added test case for linking policies to users via s3.configure - Implemented findAvailablePortPair to ensure HTTP and gRPC ports are both available, avoiding conflicts with randomized port assignments. - Updated assertion to match jsonpb output (policyNames) * credential: add StoreTypeGrpc constant * credential: add IAM gRPC store boilerplate * credential: implement identity methods in gRPC store * credential: implement policy methods in gRPC store * admin: use gRPC credential store for AdminServer This ensures that all IAM and policy changes made through the Admin UI are persisted via the Filer's IAM gRPC service instead of direct file manipulation. * shell: s3.configure use granular IAM gRPC APIs instead of full config patching * shell: s3.configure use granular IAM gRPC APIs * shell: replace deprecated ioutil with os in s3.policy * filer: use gRPC FailedPrecondition for unconfigured credential manager * test: improve s3.policy integration tests and fix error checks * ci: add s3 policy shell integration tests to github workflow * filer: fix LoadCredentialConfiguration error handling * credential/grpc: propagate unmarshal errors in GetPolicies * filer/grpc: improve error handling and validation * shell: use gRPC status codes in s3.configure * credential: document PutPolicy as create-or-replace * credential/postgres: reuse CreatePolicy in PutPolicy to deduplicate logic * shell: add timeout context and strictly enforce flags in s3.policy * iam: standardize policy content field naming in gRPC and proto * shell: extract slice helper functions in s3.configure * filer: map credential store errors to gRPC status codes * filer: add input validation for UpdateUser and CreateAccessKey * iam: improve validation in policy and config handlers * filer: ensure IAM service registration by defaulting credential manager * credential: add GetStoreName method to manager * test: verify policy deletion in integration test |
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promalertandChris Lu
|
9012069bd7 |
chore: execute goimports to format the code (#7983)
* chore: execute goimports to format the code Signed-off-by: promalert <promalert@outlook.com> * goimports -w . --------- Signed-off-by: promalert <promalert@outlook.com> Co-authored-by: Chris Lu <chris.lu@gmail.com> |
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Chris Lu
|
e67973dc53 |
Support Policy Attachment for Object Store Users (#7981)
* Implement Policy Attachment support for Object Store Users
- Added policy_names field to iam.proto and regenerated protos.
- Updated S3 API and IAM integration to support direct policy evaluation for users.
- Enhanced Admin UI to allow attaching policies to users via modals.
- Renamed 'policies' to 'policy_names' to clarify that it stores identifiers.
- Fixed syntax error in user_management.go.
* Fix policy dropdown not populating
The API returns {policies: [...]} but JavaScript was treating response as direct array.
Updated loadPolicies() to correctly access data.policies property.
* Add null safety checks for policy dropdowns
Added checks to prevent "undefined" errors when:
- Policy select elements don't exist
- Policy dropdowns haven't loaded yet
- User is being edited before policies are loaded
* Fix policy dropdown by using correct JSON field name
JSON response has lowercase 'name' field but JavaScript was accessing 'Name'.
Changed policy.Name to policy.name to match the IAMPolicy JSON structure.
* Fix policy names not being saved on user update
Changed condition from len(req.PolicyNames) > 0 to req.PolicyNames != nil
to ensure policy names are always updated when present in the request,
even if it's an empty array (to allow clearing policies).
* Add debug logging for policy names update flow
Added console.log in frontend and glog in backend to trace
policy_names data through the update process.
* Temporarily disable auto-reload for debugging
Commented out window.location.reload() so console logs are visible
when updating a user.
* Add detailed debug logging and alert for policy selection
Added console.log for each step and an alert to show policy_names value
to help diagnose why it's not being included in the request.
* Regenerate templ files for object_store_users
Ran templ generate to ensure _templ.go files are up to date with
the latest .templ changes including debug logging.
* Remove debug logging and restore normal functionality
Cleaned up temporary debug code (console.log and alert statements)
and re-enabled automatic page reload after user update.
* Add step-by-step alert debugging for policy update
Added 5 alert checkpoints to trace policy data through the update flow:
1. Check if policiesSelect element exists
2. Show selected policy values
3. Show userData.policy_names
4. Show full request body
5. Confirm server response
Temporarily disabled auto-reload to see alerts.
* Add version check alert on page load
Added alert on DOMContentLoaded to verify new JavaScript is being executed
and not cached by the browser.
* Compile templates using make
Ran make to compile all template files and install the weed binary.
* Add button click detection and make handleUpdateUser global
- Added inline alert on button click to verify click is detected
- Made handleUpdateUser a window-level function to ensure it's accessible
- Added alert at start of handleUpdateUser function
* Fix handleUpdateUser scope issue - remove duplicate definition
Removed duplicate function definition that was inside DOMContentLoaded.
Now handleUpdateUser is defined only once in global scope (line 383)
making it accessible when button onclick fires.
* Remove all duplicate handleUpdateUser definitions
Now handleUpdateUser is defined only once at the very top of the script
block (line 352), before DOMContentLoaded, ensuring it's available when
the button onclick fires.
* Add function existence check and error catching
Added alerts to check if handleUpdateUser is defined and wrapped
the function call in try-catch to capture any JavaScript errors.
Also added console.log statements to verify function definition.
* Simplify handleUpdateUser to non-async for testing
Removed async/await and added early return to test if function
can be called at all. This will help identify if async is causing
the issue.
* Add cache-control headers to prevent browser caching
Added no-cache headers to ShowObjectStoreUsers handler to prevent
aggressive browser caching of inline JavaScript in the HTML page.
* Fix syntax error - make handleUpdateUser async
Changed function back to async to fix 'await is only valid in async functions' error.
The cache-control headers are working - browser is now loading new code.
* Update version check to v3 to verify cache busting
Changed version alert to 'v3 - WITH EARLY RETURN' to confirm
the new code with early return statement is being loaded.
* Remove all debug code - clean implementation
Removed all alerts, console.logs, and test code.
Implemented clean policy update functionality with proper error handling.
* Add ETag header for cache-busting and update walkthrough
* Fix policy pre-selection in Edit User modal
- Updated admin.js editUser function to pre-select policies
- Root cause: duplicate editUser in admin.js overwrote inline version
- Added policy pre-selection logic to match inline template
- Verified working in browser: policies now pre-select correctly
* Fix policy persistence in handleUpdateUser
- Added policy_names field to userData payload in handleUpdateUser
- Policies were being lost because handleUpdateUser only sent email and actions
- Now collects selected policies from editPolicies dropdown
- Verified working: policies persist correctly across updates
* Fix XSS vulnerability in access keys display
- Escape HTML in access key display using escapeHtml utility
- Replace inline onclick handlers with data attributes
- Add event delegation for delete access key buttons
- Prevents script injection via malicious access key values
* Fix additional XSS vulnerabilities in user details display
- Escape HTML in actions badges (line 626)
- Escape HTML in policy_names badges (line 636)
- Prevents script injection via malicious action or policy names
* Fix XSS vulnerability in loadPolicies function
- Replace innerHTML string concatenation with DOM API
- Use createElement and textContent for safe policy name insertion
- Prevents script injection via malicious policy names
- Apply same pattern to both create and edit select elements
* Remove debug logging from UpdateObjectStoreUser
- Removed glog.V(0) debug statements
- Clean up temporary debugging code before production
* Remove duplicate handleUpdateUser function
- Removed inline handleUpdateUser that duplicated admin.js logic
- Removed debug console.log statement
- admin.js version is now the single source of truth
- Eliminates maintenance burden of keeping two versions in sync
* Refine user management and address code review feedback
- Preserve PolicyNames in UpdateUserPolicies
- Allow clearing actions in UpdateObjectStoreUser by checking for nil
- Remove version comment from object_store_users.templ
- Refactor loadPolicies for DRYness using cloneNode while keeping DOM API security
* IAM Authorization for Static Access Keys
* verified XSS Fixes in Templates
* fix div
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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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0ecb466eda |
Admin: refactoring active topology (#7073)
* refactoring * add ec shard size * address comments * passing task id There seems to be a disconnect between the pending tasks created in ActiveTopology and the TaskDetectionResult returned by this function. A taskID is generated locally and used to create pending tasks via AddPendingECShardTask, but this taskID is not stored in the TaskDetectionResult or passed along in any way. This makes it impossible for the worker that eventually executes the task to know which pending task in ActiveTopology it corresponds to. Without the correct taskID, the worker cannot call AssignTask or CompleteTask on the master, breaking the entire task lifecycle and capacity management feature. A potential solution is to add a TaskID field to TaskDetectionResult and worker_pb.TaskParams, ensuring the ID is propagated from detection to execution. * 1 source multiple destinations * task supports multi source and destination * ec needs to clean up previous shards * use erasure coding constants * getPlanningCapacityUnsafe getEffectiveAvailableCapacityUnsafe should return StorageSlotChange for calculation * use CanAccommodate to calculate * remove dead code * address comments * fix Mutex Copying in Protobuf Structs * use constants * fix estimatedSize The calculation for estimatedSize only considers source.EstimatedSize and dest.StorageChange, but omits dest.EstimatedSize. The TaskDestination struct has an EstimatedSize field, which seems to be ignored here. This could lead to an incorrect estimation of the total size of data involved in tasks on a disk. The loop should probably also include estimatedSize += dest.EstimatedSize. * at.assignTaskToDisk(task) * refactoring * Update weed/admin/topology/internal.go Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * fail fast * fix compilation * Update weed/worker/tasks/erasure_coding/detection.go Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * indexes for volume and shard locations * dedup with ToVolumeSlots * return an additional boolean to indicate success, or an error * Update abstract_sql_store.go * fix * Update weed/worker/tasks/erasure_coding/detection.go Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * Update weed/admin/topology/task_management.go Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * faster findVolumeDisk * Update weed/worker/tasks/erasure_coding/detection.go Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update weed/admin/topology/storage_slot_test.go Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * refactor * simplify * remove unused GetDiskStorageImpact function * refactor * add comments * Update weed/admin/topology/storage_impact.go Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * Update weed/admin/topology/storage_slot_test.go Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * Update storage_impact.go * AddPendingTask The unified AddPendingTask function now serves as the single entry point for all task creation, successfully consolidating the previously separate functions while maintaining full functionality and improving code organization. --------- Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> |
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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 |
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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> |
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Chris Lu
|
51543bbb87 |
Admin UI: Add message queue to admin UI (#6958)
* add a menu item "Message Queue" * add a menu item "Message Queue" * move the "brokers" link under it. * add "topics", "subscribers". Add pages for them. * refactor * show topic details * admin display publisher and subscriber info * remove publisher and subscribers from the topic row pull down * collecting more stats from publishers and subscribers * fix layout * fix publisher name * add local listeners for mq broker and agent * render consumer group offsets * remove subscribers from left menu * topic with retention * support editing topic retention * show retention when listing topics * create bucket * Update s3_buckets_templ.go * embed the static assets into the binary fix https://github.com/seaweedfs/seaweedfs/issues/6964 |
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Chris Lu
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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 |