Commit Graph
23 Commits
Author SHA1 Message Date
ef4c9d9178 filter volume by local or remote storage name (#10946)
* filter volume by local or remote storage name

Signed-off-by: lou <alex1988@outlook.com>

* fix SelectsEverything

Signed-off-by: lou <alex1988@outlook.com>

* keep the proto sync out of this change

The branch copied weed/pb/*.proto over their seaweed-volume and Java
counterparts and regenerated every .pb.go with a different protoc and
protoc-gen-go-grpc. DiskStatus.error arriving that way broke the Rust
build, and the rest is toolchain churn in files this change has nothing
to say about.

---------

Signed-off-by: lou <alex1988@outlook.com>
Co-authored-by: Chris Lu <chrislusf@users.noreply.github.com>
Co-authored-by: Chris Lu <chris.lu@gmail.com>
2026-08-25 13:05:33 -07:00
Chris Lu fee3fcb55a mount: report data sizes to df with -df.logical (#10459)
df on a mount shows the space the cluster gives up to the data: every
replica of a regular volume, every shard of an ec one. That is the honest
answer for capacity planning, but it is not the question a user asks when
they want to know how much of their data is stored.

Add -df.logical. The master reports the logical sizes alongside the raw
ones: one replica per regular volume, the data shards of each ec volume
counted once. Free space is divided by the copies the requested
replication makes, so used plus available stays the amount of data the
mount can still write, and it comes off the cluster-wide usage rather
than one collection's, since capacity is cluster-wide too.

Statistics through a filer resolves an unset replication to the filer's
default rather than the master's, matching where the writes it is sizing
for actually land.

The flag governs the quota check too, so a mount has one notion of how
much it is using. A filer that predates the new fields sends zeros, and
the mount keeps reporting the raw sizes.
2026-07-27 14:28:29 -07:00
Chris Lu da243b9423 fix(ec): group orphan-source completeness by encode generation (topology encode_ts_ns) (#9952)
* feat(ec): carry the encode generation through the topology heartbeat

Add encode_ts_ns (field 14) to VolumeEcShardInformationMessage and
populate it from each EC volume's .vif identity. The volume server emits
it on the full and incremental heartbeats; the master stores it on
EcVolumeInfo and re-emits it via GetTopologyInfo, so the admin/worker
layer can see which encode run produced each shard set. Field 14 avoids
the enterprise fork's reserved 10-13. Mirror the proto field and both
heartbeat emit sites in the Rust volume server.

* fix(ec): group orphan-source shard completeness by encode generation

countExistingEcShardsForVolume ORed EcIndexBits across every disk, so two
interrupted encode runs whose shard sets overlap unioned into a
false-complete set -- triggering the orphaned-source delete while no
single generation was actually complete. Group shards by encode_ts_ns and
return the largest single generation's count, so the trigger fires only
when one run holds the full set. Shards from pre-upgrade servers
(encode_ts_ns==0) form their own bucket.

The heartbeat carries one encode_ts_ns per (volume, disk), so this
separates generations on different disks; same-disk mixing is prevented
upstream by the pre-encode artifact wipe and the cross-run read guard.

* fix(ec): guard against a nil Ec shard info entry in the generation count

Defensive: a manually-constructed or corrupted topology could carry a nil
entry in EcShardInfos. Skip it rather than dereference.

* fix(ec): carry the encode generation on the EC shard unmount delta

The mount delta sets EncodeTsNs; the unmount deletion delta left it 0.
Populate it from the Ec volume before unloading so both incremental
deltas are consistent (the Rust volume server already does this via its
snapshot diff).
2026-06-14 00:14:12 -07:00
Chris Lu 300e906330 admin: report file and delete counts for EC volumes (#9060)
* admin: report file and delete counts for EC volumes

The admin bucket size fix (#9058) left object counts at zero for
EC-encoded data because VolumeEcShardInformationMessage carried no file
count. Billing/monitoring dashboards therefore still under-report
objects once a bucket is EC-encoded.

Thread file_count and delete_count end-to-end:

- Add file_count/delete_count to VolumeEcShardInformationMessage (proto
  fields 8 and 9) and regenerate master_pb.
- Compute them lazily on volume servers by walking the .ecx index once
  per EcVolume, cache on the struct, and keep the cache in sync inside
  DeleteNeedleFromEcx (distinguishing live vs already-tombstoned
  entries so idempotent deletes do not drift the counts).
- Populate the new proto fields from EcVolume.ToVolumeEcShardInformationMessage
  and carry them through the master-side EcVolumeInfo / topology sync.
- Aggregate in admin collectCollectionStats, deduping per volume id:
  every node holding shards of an EC volume reports the same counts, so
  summing across nodes would otherwise multiply the object count by the
  number of shard holders.

Regression tests cover the initial .ecx walk, live/tombstoned delete
bookkeeping (including idempotent and missing-key cases), and the admin
dedup path for an EC volume reported by multiple nodes.

* ec: include .ecj journal in EcVolume delete count

The initial delete count only reflected .ecx tombstones, missing any
needle that was journaled in .ecj but not yet folded into .ecx — e.g.
on partial recovery. Expand initCountsLocked to take the union of
.ecx tombstones and .ecj journal entries, deduped by needle id, so:

  - an id that is both tombstoned in .ecx and listed in .ecj counts once
  - a duplicate .ecj entry counts once
  - an .ecj id with a live .ecx entry is counted as deleted (not live)
  - an .ecj id with no matching .ecx entry is still counted

Covered by TestEcVolumeFileAndDeleteCountEcjUnion.

* ec: report delete count authoritatively and tombstone once per delete

Address two issues with the previous EcVolume file/delete count work:

1. The delete count was computed lazily on first heartbeat and mixed
   in a .ecj-union fallback to "recover" partial state. That diverged
   from how regular volumes report counts (always live from the needle
   map) and had drift cases when .ecj got reconciled. Replace with an
   eager walk of .ecx at NewEcVolume time, maintained incrementally on
   every DeleteNeedleFromEcx call. Semantics now match needle_map_metric:
   FileCount is the total number of needles ever recorded in .ecx
   (live + tombstoned), DeleteCount is the tombstones — so live =
   FileCount - DeleteCount. Drop the .ecj-union logic entirely.

2. A single EC needle delete fanned out to every node holding a replica
   of the primary data shard and called DeleteNeedleFromEcx on each,
   which inflated the per-volume delete total by the replica factor.
   Rewrite doDeleteNeedleFromRemoteEcShardServers to try replicas in
   order and stop at the first success (one tombstone per delete), and
   only fall back to other shards when the primary shard has no home
   (ErrEcShardMissing sentinel), not on transient RPC errors.

Admin aggregation now folds EC counts correctly: FileCount is deduped
per volume id (every shard holder has an identical .ecx) and DeleteCount
is summed across nodes (each delete tombstones exactly one node). Live
object count = deduped FileCount - summed DeleteCount.

Tests updated to match the new semantics:
  - EC volume counts seed FileCount as total .ecx entries (live +
    tombstoned), DeleteCount as tombstones.
  - DeleteNeedleFromEcx keeps FileCount constant and increments
    DeleteCount only on live->tombstone transitions.
  - Admin dedup test uses distinct per-node delete counts (5 + 3 + 2)
    to prove they're summed, while FileCount=100 is applied once.

* ec: test fixture uses real vid; admin warns on skewed ec counts

- writeFixture now builds the .ecx/.ecj/.ec00/.vif filenames from the
  actual vid passed in, instead of hardcoding "_1". The existing tests
  all use vid=1 so behaviour is unchanged, but the helper no longer
  silently diverges from its documented parameter.
- collectCollectionStats logs a glog warning when an EC volume's summed
  delete count exceeds its deduped file count, surfacing the anomaly
  (stale heartbeat, counter drift, etc.) instead of silently dropping
  the volume from the object count.

* ec: derive file/delete counts from .ecx/.ecj file sizes

seedCountsFromEcx walked the full .ecx index at volume load, which is
wasted work: .ecx has fixed-size entries (NeedleMapEntrySize) and .ecj
has fixed-size deletion records (NeedleIdSize), so both counts are pure
file-size arithmetic.

  fileCount   = ecxFileSize / NeedleMapEntrySize
  deleteCount = ecjFileSize / NeedleIdSize

Rip out the cached counters, countsLock, seedCountsFromEcx, and the
recordDelete helper. Track ecjFileSize directly on the EcVolume struct,
seed it from Stat() at load, and bump it on every successful .ecj append
inside DeleteNeedleFromEcx under ecjFileAccessLock. Skip the .ecj write
entirely when the needle is already tombstoned so the derived delete
count stays idempotent on repeat deletes. Heartbeats now compute counts
in O(1).

Tests updated: the initial fixture pre-populates .ecj with two ids to
verify the file-size derivation end-to-end, and the delete test keeps
its idempotent-re-delete / missing-needle invariants (unchanged
externally, now enforced by the early return rather than a cache guard).

* ec: sync Rust volume server with Go file/delete count semantics

Mirror the Go-side EC file/delete count work in the Rust volume server
so mixed Go/Rust clusters report consistent bucket object counts in
the admin dashboard.

- Add file_count (8) and delete_count (9) to the Rust copy of
  VolumeEcShardInformationMessage (seaweed-volume/proto/master.proto).
- EcVolume gains ecj_file_size, seeded from the journal's metadata on
  open and bumped inside journal_delete on every successful append.
- file_and_delete_count() returns counts derived in O(1) from
  ecx_file_size / NEEDLE_MAP_ENTRY_SIZE and
  ecj_file_size / NEEDLE_ID_SIZE, matching Go's FileAndDeleteCount.
- to_volume_ec_shard_information_messages populates the new proto
  fields instead of defaulting them to zero.
- mark_needle_deleted_in_ecx now returns a DeleteOutcome enum
  (NotFound / AlreadyDeleted / Tombstoned) so journal_delete can skip
  both the .ecj append and the size bump when the needle is missing
  or already tombstoned, keeping the derived delete_count idempotent
  on repeat or no-op deletes.
- Rust's EcVolume::new no longer replays .ecj into .ecx on load. Go's
  RebuildEcxFile is only called from specific decode/rebuild gRPC
  handlers, not on volume open, and replaying on load was hiding the
  deletion journal from the new file-size-derived delete counter.
  rebuild_ecx_from_journal is kept as dead_code for future decode
  paths that may want the same replay semantics.

Also clean up the Go FileAndDeleteCount to drop unnecessary runtime
guards against zero constants — NeedleMapEntrySize and NeedleIdSize
are compile-time non-zero.

test_ec_volume_journal updated to pre-populate the .ecx with the
needles it deletes, and extended to verify that repeat and
missing-id deletes do not drift the derived counts.

* ec: document enterprise-reserved proto field range on ec shard info

Both OSS master.proto copies now note that fields 10-19 are reserved
for future upstream additions while 20+ are owned by the enterprise
fork. Enterprise already pins data_shards/parity_shards at 20/21, so
keeping OSS additions inside 8-19 avoids wire-level collisions for
mixed deployments.

* ec(rust): resolve .ecx/.ecj helpers from ecx_actual_dir

ecx_file_name() and ecj_file_name() resolved from self.dir_idx, but
new() opens the actual files from ecx_actual_dir (which may fall back
to the data dir when the idx dir does not contain the index). After a
fallback, read_deleted_needles() and rebuild_ecx_from_journal() would
read/rebuild the wrong (nonexistent) path while heartbeats reported
counts from the file actually in use — silently dropping deletes.

Point idx_base_name() at ecx_actual_dir, which is initialized to
dir_idx and only diverges after a successful fallback, so every call
site agrees with the file new() has open. The pre-fallback call in
new() (line 142) still returns the dir_idx path because
ecx_actual_dir == dir_idx at that point.

Update the destroy() sweep to build the dir_idx cleanup paths
explicitly instead of leaning on the helpers, so post-fallback stale
files in the idx dir are still removed.

* ec: reset ecj size after rebuild; rollback ecx tombstone on ecj failure

Two EC delete-count correctness fixes applied symmetrically to Go and
Rust volume servers.

1. rebuild_ecx_from_journal (Rust) now sets ecj_file_size = 0 after
   recreating the empty journal, matching the on-disk truth.
   Previously the cached size still reflected the pre-rebuild journal
   and file_and_delete_count() would keep reporting stale delete
   counts. The Go side has no equivalent bug because RebuildEcxFile
   runs in an offline helper that does not touch an EcVolume struct.

2. DeleteNeedleFromEcx / journal_delete used to tombstone the .ecx
   entry before writing the .ecj record. If the .ecj append then
   failed, the needle was permanently marked deleted but the
   heartbeat-reported delete_count never advanced (it is derived from
   .ecj file size), and a retry would see AlreadyDeleted and early-
   return, leaving the drift permanent.

   Both languages now capture the entry's file offset and original
   size bytes during the mark step, attempt the .ecj append, and on
   failure roll the .ecx tombstone back by writing the original size
   bytes at the known offset. A rollback that itself errors is
   logged (glog / tracing) but cannot re-sync the files — this is
   the same failure mode a double disk error would produce, and is
   unavoidable without a full on-disk transaction log.

Go: wrap MarkNeedleDeleted in a closure that captures the file
offset into an outer variable, then pass the offset + oldSize to the
new rollbackEcxTombstone helper on .ecj seek/write errors.

Rust: DeleteOutcome::Tombstoned now carries the size_offset and a
[u8; SIZE_SIZE] copy of the pre-tombstone size field. journal_delete
destructures on Tombstoned and calls restore_ecx_size on .ecj append
failure.

* test(ec): widen admin /health wait to 180s for cold CI

TestEcEndToEnd starts master, 14 volume servers, filer, 2 workers and
admin in sequence, then waited only 60s for admin's HTTP server to come
up. On cold GitHub runners the tail of the earlier subprocess startups
eats most of that budget and the wait occasionally times out (last hit
on run 24374773031). The local fast path is still ~20s total, so the
bump only extends the timeout ceiling, not the happy path.

* test(ec): fork volume servers in parallel in TestEcEndToEnd

startWeed is non-blocking (just cmd.Start()), so the per-process fork +
mkdir + log-file-open overhead for 14 volume servers was serialized for
no reason. On cold CI disks that overhead stacks up and eats into the
subsequent admin /health wait, which is how run 24374773031 flaked.

Wrap the volume-server loop in a sync.WaitGroup and guard runningCmds
with a mutex so concurrent appends are safe. startWeed still calls
t.Fatalf on failure, which is fine from a goroutine for a fatal test
abort; the fail-fast isn't something we rely on for precise ordering.

* ec: fsync ecx before ecj, truncate on failure, harden rebuild

Four correctness fixes covering both volume servers.

1. Durability ordering (Go + Rust). After marking the .ecx tombstone
   we now fsync .ecx before touching .ecj, so a crash between the two
   files cannot leave the journal with an entry for a needle whose
   tombstone is still sitting in page cache. Once the fsync returns,
   the tombstone is the source of truth: reads see "deleted",
   delete_count may under-count by one (benign, idempotent retries)
   but never over-reports. If the fsync itself fails we restore the
   original size bytes and surface the error. The .ecj append is then
   followed by its own Sync so the reported delete_count matches the
   on-disk journal once the write returns.

2. .ecj truncation on append failure. write_all may have extended the
   journal on disk before sync_all / Sync errors out, leaving the
   cached ecj_file_size out of sync with the physical length and
   drifting delete_count permanently after restart. Both languages
   now capture the pre-append size, truncate the file back via
   set_len / Truncate on any write or sync failure, and only then
   restore the .ecx tombstone. Truncation errors are logged — same-fd
   length resets cannot realistically fail — but cannot themselves
   re-sync the files.

3. Atomic rebuild_ecx_from_journal (Rust, dead code today but wired
   up on any future decode path). Previously a failed
   mark_needle_deleted_in_ecx call was swallowed with `let _ = ...`
   and the journal was still removed, silently losing tombstones.
   We now bubble up any non-NotFound error, fsync .ecx after the
   whole replay succeeds, and only then drop and recreate .ecj.
   NotFound is still ignored (expected race between delete and encode).

4. Missing-.ecx hardening (Rust). mark_needle_deleted_in_ecx used to
   return Ok(NotFound) when self.ecx_file was None, hiding a closed or
   corrupt volume behind what looks like an idempotent no-op. It now
   returns an io::Error carrying the volume id so callers (e.g.
   journal_delete) fail loudly instead.

Existing Go and Rust EC test suites stay green.

* ec: make .ecx immutable at runtime; track deletes in memory + .ecj

Refactors both volume servers so the sealed sorted .ecx index is never
mutated during normal operation. Runtime deletes are committed to the
.ecj deletion journal and tracked in an in-memory deleted-needle set;
read-path lookups consult that set to mask out deleted ids on top of
the immutable .ecx record. Mirrors the intended design on both Go and
Rust sides.

EcVolume gains a `deletedNeedles` / `deleted_needles` set seeded from
.ecj in NewEcVolume / EcVolume::new. DeleteNeedleFromEcx /
journal_delete:

  1. Looks the needle up read-only in .ecx.
  2. Missing needle -> no-op.
  3. Pre-existing .ecx tombstone (from a prior decode/rebuild) ->
     mirror into the in-memory set, no .ecj append.
  4. Otherwise append the id to .ecj, fsync, and only then publish
     the id into the set. A partial write is truncated back to the
     pre-append length so the on-disk journal and the in-memory set
     cannot drift.

FindNeedleFromEcx / find_needle_from_ecx now return
TombstoneFileSize when the id is in the in-memory set, even though
the bytes on disk still show the original size.

FileAndDeleteCount:
  fileCount   = .ecx size / NeedleMapEntrySize (unchanged)
  deleteCount = len(deletedNeedles) (was: .ecj size / NeedleIdSize)

The RebuildEcxFile / rebuild_ecx_from_journal decode-time helpers
still fold .ecj into .ecx — that is the one place tombstones land in
the physical index, and it runs offline on closed files. Rust's
rebuild helper now also clears the in-memory set when it succeeds.

Dead code removed on the Rust side: `DeleteOutcome`,
`mark_needle_deleted_in_ecx`, `restore_ecx_size`. Go drops the
runtime `rollbackEcxTombstone` path. Neither helper was needed once
.ecx stopped being a runtime mutation target.

TestEcVolumeSyncEnsuresDeletionsVisible (issue #7751) is rewritten
as TestEcVolumeDeleteDurableToJournal, which exercises the full
durability chain: delete -> .ecj fsync -> FindNeedleFromEcx masks
via the in-memory set -> raw .ecx bytes are *unchanged* -> Close +
RebuildEcxFile folds the journal into .ecx -> raw bytes now show
the tombstone, as CopyFile in the decode path expects.
2026-04-13 21:10:36 -07:00
Chris Lu e10f11b480 opt: reduce ShardsInfo memory usage with bitmap and sorted slice (#7974)
* opt: reduce ShardsInfo memory usage with bitmap and sorted slice

- Replace map[ShardId]*ShardInfo with sorted []ShardInfo slice
- Add ShardBits (uint32) bitmap for O(1) existence checks
- Use binary search for O(log n) lookups by shard ID
- Maintain sorted order for efficient iteration
- Add comprehensive unit tests and benchmarks

Memory savings:
- Map overhead: ~48 bytes per entry eliminated
- Pointers: 8 bytes per entry eliminated
- Total: ~56 bytes per shard saved

Performance improvements:
- Has(): O(1) using bitmap
- Size(): O(log n) using binary search (was O(1), acceptable tradeoff)
- Count(): O(1) using popcount on bitmap
- Iteration: Faster due to cache locality

* refactor: add methods to ShardBits type

- Add Has(), Set(), Clear(), and Count() methods to ShardBits
- Simplify ShardsInfo methods by using ShardBits methods
- Improves code readability and encapsulation

* opt: use ShardBits directly in ShardsCountFromVolumeEcShardInformationMessage

Avoid creating a full ShardsInfo object just to count shards.
Directly cast vi.EcIndexBits to ShardBits and use Count() method.

* opt: use strings.Builder in ShardsInfo.String() for efficiency

* refactor: change AsSlice to return []ShardInfo (values instead of pointers)

This completes the memory optimization by avoiding unnecessary pointer slices and potential allocations.

* refactor: rename ShardsCountFromVolumeEcShardInformationMessage to GetShardCount

* fix: prevent deadlock in Add and Subtract methods

Copy shards data from 'other' before releasing its lock to avoid
potential deadlock when a.Add(b) and b.Add(a) are called concurrently.

The previous implementation held other's lock while calling si.Set/Delete,
which acquires si's lock. This could deadlock if two goroutines tried to
add/subtract each other concurrently.

* opt: avoid unnecessary locking in constructor functions

ShardsInfoFromVolume and ShardsInfoFromVolumeEcShardInformationMessage
now build shards slice and bitmap directly without calling Set(), which
acquires a lock on every call. Since the object is local and not yet
shared, locking is unnecessary and adds overhead.

This improves performance during object construction.

* fix: rename 'copy' variable to avoid shadowing built-in function

The variable name 'copy' in TestShardsInfo_Copy shadowed the built-in
copy() function, which is confusing and bad practice. Renamed to 'siCopy'.

* opt: use math/bits.OnesCount32 and reorganize types

1. Replace manual popcount loop with math/bits.OnesCount32 for better
   performance and idiomatic Go code
2. Move ShardSize type definition to ec_shards_info.go for better code
   organization since it's primarily used there

* refactor: Set() now accepts ShardInfo for future extensibility

Changed Set(id ShardId, size ShardSize) to Set(shard ShardInfo) to
support future additions to ShardInfo without changing the API.

This makes the code more extensible as new fields can be added to
ShardInfo (e.g., checksum, location, etc.) without breaking the Set API.

* refactor: move ShardInfo and ShardSize to separate file

Created ec_shard_info.go to hold the basic shard types (ShardInfo and
ShardSize) for better code organization and separation of concerns.

* refactor: add ShardInfo constructor and helper functions

Added NewShardInfo() constructor and IsValid() method to better
encapsulate ShardInfo creation and validation. Updated code to use
the constructor for cleaner, more maintainable code.

* fix: update remaining Set() calls to use NewShardInfo constructor

Fixed compilation errors in storage and shell packages where Set() calls
were not updated to use the new NewShardInfo() constructor.

* fix: remove unreachable code in filer backup commands

Removed unreachable return statements after infinite loops in
filer_backup.go and filer_meta_backup.go to fix compilation errors.

* fix: rename 'new' variable to avoid shadowing built-in

Renamed 'new' to 'result' in MinusParityShards, Plus, and Minus methods
to avoid shadowing Go's built-in new() function.

* fix: update remaining test files to use NewShardInfo constructor

Fixed Set() calls in command_volume_list_test.go and
ec_rebalance_slots_test.go to use NewShardInfo() constructor.
2026-01-06 00:09:52 -08:00
Lisandro Pin 6b98b52acc Fix reporting of EC shard sizes from nodes to masters. (#7835)
SeaweedFS tracks EC shard sizes on topology data stuctures, but this information is never
relayed to master servers :( The end result is that commands reporting disk usage, such
as `volume.list` and `cluster.status`, yield incorrect figures when EC shards are present.

As an example for a simple 5-node test cluster, before...

```
> volume.list
Topology volumeSizeLimit:30000 MB hdd(volume:6/40 active:6 free:33 remote:0)
  DataCenter DefaultDataCenter hdd(volume:6/40 active:6 free:33 remote:0)
    Rack DefaultRack hdd(volume:6/40 active:6 free:33 remote:0)
      DataNode 192.168.10.111:9001 hdd(volume:1/8 active:1 free:7 remote:0)
        Disk hdd(volume:1/8 active:1 free:7 remote:0) id:0
          volume id:3  size:88967096  file_count:172  replica_placement:2  version:3  modified_at_second:1766349617
          ec volume id:1 collection: shards:[1 5]
        Disk hdd total size:88967096 file_count:172
      DataNode 192.168.10.111:9001 total size:88967096 file_count:172
  DataCenter DefaultDataCenter hdd(volume:6/40 active:6 free:33 remote:0)
    Rack DefaultRack hdd(volume:6/40 active:6 free:33 remote:0)
      DataNode 192.168.10.111:9002 hdd(volume:2/8 active:2 free:6 remote:0)
        Disk hdd(volume:2/8 active:2 free:6 remote:0) id:0
          volume id:2  size:77267536  file_count:166  replica_placement:2  version:3  modified_at_second:1766349617
          volume id:3  size:88967096  file_count:172  replica_placement:2  version:3  modified_at_second:1766349617
          ec volume id:1 collection: shards:[0 4]
        Disk hdd total size:166234632 file_count:338
      DataNode 192.168.10.111:9002 total size:166234632 file_count:338
  DataCenter DefaultDataCenter hdd(volume:6/40 active:6 free:33 remote:0)
    Rack DefaultRack hdd(volume:6/40 active:6 free:33 remote:0)
      DataNode 192.168.10.111:9003 hdd(volume:1/8 active:1 free:7 remote:0)
        Disk hdd(volume:1/8 active:1 free:7 remote:0) id:0
          volume id:2  size:77267536  file_count:166  replica_placement:2  version:3  modified_at_second:1766349617
          ec volume id:1 collection: shards:[2 6]
        Disk hdd total size:77267536 file_count:166
      DataNode 192.168.10.111:9003 total size:77267536 file_count:166
  DataCenter DefaultDataCenter hdd(volume:6/40 active:6 free:33 remote:0)
    Rack DefaultRack hdd(volume:6/40 active:6 free:33 remote:0)
      DataNode 192.168.10.111:9004 hdd(volume:2/8 active:2 free:6 remote:0)
        Disk hdd(volume:2/8 active:2 free:6 remote:0) id:0
          volume id:2  size:77267536  file_count:166  replica_placement:2  version:3  modified_at_second:1766349617
          volume id:3  size:88967096  file_count:172  replica_placement:2  version:3  modified_at_second:1766349617
          ec volume id:1 collection: shards:[3 7]
        Disk hdd total size:166234632 file_count:338
      DataNode 192.168.10.111:9004 total size:166234632 file_count:338
  DataCenter DefaultDataCenter hdd(volume:6/40 active:6 free:33 remote:0)
    Rack DefaultRack hdd(volume:6/40 active:6 free:33 remote:0)
      DataNode 192.168.10.111:9005 hdd(volume:0/8 active:0 free:8 remote:0)
        Disk hdd(volume:0/8 active:0 free:8 remote:0) id:0
          ec volume id:1 collection: shards:[8 9 10 11 12 13]
        Disk hdd total size:0 file_count:0
    Rack DefaultRack total size:498703896 file_count:1014
  DataCenter DefaultDataCenter total size:498703896 file_count:1014
total size:498703896 file_count:1014
```

...and after:

```
> volume.list
Topology volumeSizeLimit:30000 MB hdd(volume:6/40 active:6 free:33 remote:0)
  DataCenter DefaultDataCenter hdd(volume:6/40 active:6 free:33 remote:0)
    Rack DefaultRack hdd(volume:6/40 active:6 free:33 remote:0)
      DataNode 192.168.10.111:9001 hdd(volume:1/8 active:1 free:7 remote:0)
        Disk hdd(volume:1/8 active:1 free:7 remote:0) id:0
          volume id:2  size:81761800  file_count:161  replica_placement:2  version:3  modified_at_second:1766349495
          ec volume id:1 collection: shards:[1 5 9] sizes:[1:8.00 MiB 5:8.00 MiB 9:8.00 MiB] total:24.00 MiB
        Disk hdd total size:81761800 file_count:161
      DataNode 192.168.10.111:9001 total size:81761800 file_count:161
  DataCenter DefaultDataCenter hdd(volume:6/40 active:6 free:33 remote:0)
    Rack DefaultRack hdd(volume:6/40 active:6 free:33 remote:0)
      DataNode 192.168.10.111:9002 hdd(volume:1/8 active:1 free:7 remote:0)
        Disk hdd(volume:1/8 active:1 free:7 remote:0) id:0
          volume id:3  size:88678712  file_count:170  replica_placement:2  version:3  modified_at_second:1766349495
          ec volume id:1 collection: shards:[11 12 13] sizes:[11:8.00 MiB 12:8.00 MiB 13:8.00 MiB] total:24.00 MiB
        Disk hdd total size:88678712 file_count:170
      DataNode 192.168.10.111:9002 total size:88678712 file_count:170
  DataCenter DefaultDataCenter hdd(volume:6/40 active:6 free:33 remote:0)
    Rack DefaultRack hdd(volume:6/40 active:6 free:33 remote:0)
      DataNode 192.168.10.111:9003 hdd(volume:2/8 active:2 free:6 remote:0)
        Disk hdd(volume:2/8 active:2 free:6 remote:0) id:0
          volume id:2  size:81761800  file_count:161  replica_placement:2  version:3  modified_at_second:1766349495
          volume id:3  size:88678712  file_count:170  replica_placement:2  version:3  modified_at_second:1766349495
          ec volume id:1 collection: shards:[0 4 8] sizes:[0:8.00 MiB 4:8.00 MiB 8:8.00 MiB] total:24.00 MiB
        Disk hdd total size:170440512 file_count:331
      DataNode 192.168.10.111:9003 total size:170440512 file_count:331
  DataCenter DefaultDataCenter hdd(volume:6/40 active:6 free:33 remote:0)
    Rack DefaultRack hdd(volume:6/40 active:6 free:33 remote:0)
      DataNode 192.168.10.111:9004 hdd(volume:2/8 active:2 free:6 remote:0)
        Disk hdd(volume:2/8 active:2 free:6 remote:0) id:0
          volume id:2  size:81761800  file_count:161  replica_placement:2  version:3  modified_at_second:1766349495
          volume id:3  size:88678712  file_count:170  replica_placement:2  version:3  modified_at_second:1766349495
          ec volume id:1 collection: shards:[2 6 10] sizes:[2:8.00 MiB 6:8.00 MiB 10:8.00 MiB] total:24.00 MiB
        Disk hdd total size:170440512 file_count:331
      DataNode 192.168.10.111:9004 total size:170440512 file_count:331
  DataCenter DefaultDataCenter hdd(volume:6/40 active:6 free:33 remote:0)
    Rack DefaultRack hdd(volume:6/40 active:6 free:33 remote:0)
      DataNode 192.168.10.111:9005 hdd(volume:0/8 active:0 free:8 remote:0)
        Disk hdd(volume:0/8 active:0 free:8 remote:0) id:0
          ec volume id:1 collection: shards:[3 7] sizes:[3:8.00 MiB 7:8.00 MiB] total:16.00 MiB
        Disk hdd total size:0 file_count:0
    Rack DefaultRack total size:511321536 file_count:993
  DataCenter DefaultDataCenter total size:511321536 file_count:993
total size:511321536 file_count:993
```
2025-12-28 19:30:42 -08:00
Chris Lu 208d7f24f4 Erasure Coding: Ec refactoring (#7396)
* refactor: add ECContext structure to encapsulate EC parameters

- Create ec_context.go with ECContext struct
- NewDefaultECContext() creates context with default 10+4 configuration
- Helper methods: CreateEncoder(), ToExt(), String()
- Foundation for cleaner function signatures
- No behavior change, still uses hardcoded 10+4

* refactor: update ec_encoder.go to use ECContext

- Add WriteEcFilesWithContext() and RebuildEcFilesWithContext() functions
- Keep old functions for backward compatibility (call new versions)
- Update all internal functions to accept ECContext parameter
- Use ctx.DataShards, ctx.ParityShards, ctx.TotalShards consistently
- Use ctx.CreateEncoder() instead of hardcoded reedsolomon.New()
- Use ctx.ToExt() for shard file extensions
- No behavior change, still uses default 10+4 configuration

* refactor: update ec_volume.go to use ECContext

- Add ECContext field to EcVolume struct
- Initialize ECContext with default configuration in NewEcVolume()
- Update LocateEcShardNeedleInterval() to use ECContext.DataShards
- Phase 1: Always uses default 10+4 configuration
- No behavior change

* refactor: add EC shard count fields to VolumeInfo protobuf

- Add data_shards_count field (field 8) to VolumeInfo message
- Add parity_shards_count field (field 9) to VolumeInfo message
- Fields are optional, 0 means use default (10+4)
- Backward compatible: fields added at end
- Phase 1: Foundation for future customization

* refactor: regenerate protobuf Go files with EC shard count fields

- Regenerated volume_server_pb/*.go with new EC fields
- DataShardsCount and ParityShardsCount accessors added to VolumeInfo
- No behavior change, fields not yet used

* refactor: update VolumeEcShardsGenerate to use ECContext

- Create ECContext with default configuration in VolumeEcShardsGenerate
- Use ecCtx.TotalShards and ecCtx.ToExt() in cleanup
- Call WriteEcFilesWithContext() instead of WriteEcFiles()
- Save EC configuration (DataShardsCount, ParityShardsCount) to VolumeInfo
- Log EC context being used
- Phase 1: Always uses default 10+4 configuration
- No behavior change

* fmt

* refactor: update ec_test.go to use ECContext

- Update TestEncodingDecoding to create and use ECContext
- Update validateFiles() to accept ECContext parameter
- Update removeGeneratedFiles() to use ctx.TotalShards and ctx.ToExt()
- Test passes with default 10+4 configuration

* refactor: use EcShardConfig message instead of separate fields

* optimize: pre-calculate row sizes in EC encoding loop

* refactor: replace TotalShards field with Total() method

- Remove TotalShards field from ECContext to avoid field drift
- Add Total() method that computes DataShards + ParityShards
- Update all references to use ctx.Total() instead of ctx.TotalShards
- Read EC config from VolumeInfo when loading EC volumes
- Read data shard count from .vif in VolumeEcShardsToVolume
- Use >= instead of > for exact boundary handling in encoding loops

* optimize: simplify VolumeEcShardsToVolume to use existing EC context

- Remove redundant CollectEcShards call
- Remove redundant .vif file loading
- Use v.ECContext.DataShards directly (already loaded by NewEcVolume)
- Slice tempShards instead of collecting again

* refactor: rename MaxShardId to MaxShardCount for clarity

- Change from MaxShardId=31 to MaxShardCount=32
- Eliminates confusing +1 arithmetic (MaxShardId+1)
- More intuitive: MaxShardCount directly represents the limit

fix: support custom EC ratios beyond 14 shards in VolumeEcShardsToVolume

- Add MaxShardId constant (31, since ShardBits is uint32)
- Use MaxShardId+1 (32) instead of TotalShardsCount (14) for tempShards buffer
- Prevents panic when slicing for volumes with >14 total shards
- Critical fix for custom EC configurations like 20+10

* fix: add validation for EC shard counts from VolumeInfo

- Validate DataShards/ParityShards are positive and within MaxShardCount
- Prevent zero or invalid values that could cause divide-by-zero
- Fallback to defaults if validation fails, with warning log
- VolumeEcShardsGenerate now preserves existing EC config when regenerating
- Critical safety fix for corrupted or legacy .vif files

* fix: RebuildEcFiles now loads EC config from .vif file

- Critical: RebuildEcFiles was always using default 10+4 config
- Now loads actual EC config from .vif file when rebuilding shards
- Validates config before use (positive shards, within MaxShardCount)
- Falls back to default if .vif missing or invalid
- Prevents data corruption when rebuilding custom EC volumes

* add: defensive validation for dataShards in VolumeEcShardsToVolume

- Validate dataShards > 0 and <= MaxShardCount before use
- Prevents panic from corrupted or uninitialized ECContext
- Returns clear error message instead of panic
- Defense-in-depth: validates even though upstream should catch issues

* fix: replace TotalShardsCount with MaxShardCount for custom EC ratio support

Critical fixes to support custom EC ratios > 14 shards:

disk_location_ec.go:
- validateEcVolume: Check shards 0-31 instead of 0-13 during validation
- removeEcVolumeFiles: Remove shards 0-31 instead of 0-13 during cleanup

ec_volume_info.go ShardBits methods:
- ShardIds(): Iterate up to MaxShardCount (32) instead of TotalShardsCount (14)
- ToUint32Slice(): Iterate up to MaxShardCount (32)
- IndexToShardId(): Iterate up to MaxShardCount (32)
- MinusParityShards(): Remove shards 10-31 instead of 10-13 (added note about Phase 2)
- Minus() shard size copy: Iterate up to MaxShardCount (32)
- resizeShardSizes(): Iterate up to MaxShardCount (32)

Without these changes:
- Custom EC ratios > 14 total shards would fail validation on startup
- Shards 14-31 would never be discovered or cleaned up
- ShardBits operations would miss shards >= 14

These changes are backward compatible - MaxShardCount (32) includes
the default TotalShardsCount (14), so existing 10+4 volumes work as before.

* fix: replace TotalShardsCount with MaxShardCount in critical data structures

Critical fixes for buffer allocations and loops that must support
custom EC ratios up to 32 shards:

Data Structures:
- store_ec.go:354: Buffer allocation for shard recovery (bufs array)
- topology_ec.go:14: EcShardLocations.Locations fixed array size
- command_ec_rebuild.go:268: EC shard map allocation
- command_ec_common.go:626: Shard-to-locations map allocation

Shard Discovery Loops:
- ec_task.go:378: Loop to find generated shard files
- ec_shard_management.go: All 8 loops that check/count EC shards

These changes are critical because:
1. Buffer allocations sized to 14 would cause index-out-of-bounds panics
   when accessing shards 14-31
2. Fixed arrays sized to 14 would truncate shard location data
3. Loops limited to 0-13 would never discover/manage shards 14-31

Note: command_ec_encode.go:208 intentionally NOT changed - it creates
shard IDs to mount after encoding. In Phase 1 we always generate 14
shards, so this remains TotalShardsCount and will be made dynamic in
Phase 2 based on actual EC context.

Without these fixes, custom EC ratios > 14 total shards would cause:
- Runtime panics (array index out of bounds)
- Data loss (shards 14-31 never discovered/tracked)
- Incomplete shard management (missing shards not detected)

* refactor: move MaxShardCount constant to ec_encoder.go

Moved MaxShardCount from ec_volume_info.go to ec_encoder.go to group it
with other shard count constants (DataShardsCount, ParityShardsCount,
TotalShardsCount). This improves code organization and makes it easier
to understand the relationship between these constants.

Location: ec_encoder.go line 22, between TotalShardsCount and MinTotalDisks

* improve: add defensive programming and better error messages for EC

Code review improvements from CodeRabbit:

1. ShardBits Guardrails (ec_volume_info.go):
   - AddShardId, RemoveShardId: Reject shard IDs >= MaxShardCount
   - HasShardId: Return false for out-of-range shard IDs
   - Prevents silent no-ops from bit shifts with invalid IDs

2. Future-Proof Regex (disk_location_ec.go):
   - Updated regex from \.ec[0-9][0-9] to \.ec\d{2,3}
   - Now matches .ec00 through .ec999 (currently .ec00-.ec31 used)
   - Supports future increases to MaxShardCount beyond 99

3. Better Error Messages (volume_grpc_erasure_coding.go):
   - Include valid range (1..32) in dataShards validation error
   - Helps operators quickly identify the problem

4. Validation Before Save (volume_grpc_erasure_coding.go):
   - Validate ECContext (DataShards > 0, ParityShards > 0, Total <= MaxShardCount)
   - Log EC config being saved to .vif for debugging
   - Prevents writing invalid configs to disk

These changes improve robustness and debuggability without changing
core functionality.

* fmt

* fix: critical bugs from code review + clean up comments

Critical bug fixes:
1. command_ec_rebuild.go: Fixed indentation causing compilation error
   - Properly nested if/for blocks in registerEcNode

2. ec_shard_management.go: Fixed isComplete logic incorrectly using MaxShardCount
   - Changed from MaxShardCount (32) back to TotalShardsCount (14)
   - Default 10+4 volumes were being incorrectly reported as incomplete
   - Missing shards 14-31 were being incorrectly reported as missing
   - Fixed in 4 locations: volume completeness checks and getMissingShards

3. ec_volume_info.go: Fixed MinusParityShards removing too many shards
   - Changed from MaxShardCount (32) back to TotalShardsCount (14)
   - Was incorrectly removing shard IDs 10-31 instead of just 10-13

Comment cleanup:
- Removed Phase 1/Phase 2 references (development plan context)
- Replaced with clear statements about default 10+4 configuration
- SeaweedFS repo uses fixed 10+4 EC ratio, no phases needed

Root cause: Over-aggressive replacement of TotalShardsCount with MaxShardCount.
MaxShardCount (32) is the limit for buffer allocations and shard ID loops,
but TotalShardsCount (14) must be used for default EC configuration logic.

* fix: add defensive bounds checks and compute actual shard counts

Critical fixes from code review:

1. topology_ec.go: Add defensive bounds checks to AddShard/DeleteShard
   - Prevent panic when shardId >= MaxShardCount (32)
   - Return false instead of crashing on out-of-range shard IDs

2. command_ec_common.go: Fix doBalanceEcShardsAcrossRacks
   - Was using hardcoded TotalShardsCount (14) for all volumes
   - Now computes actual totalShardsForVolume from rackToShardCount
   - Fixes incorrect rebalancing for volumes with custom EC ratios
   - Example: 5+2=7 shards would incorrectly use 14 as average

These fixes improve robustness and prepare for future custom EC ratios
without changing current behavior for default 10+4 volumes.

Note: MinusParityShards and ec_task.go intentionally NOT changed for
seaweedfs repo - these will be enhanced in seaweed-enterprise repo
where custom EC ratio configuration is added.

* fmt

* style: make MaxShardCount type casting explicit in loops

Improved code clarity by explicitly casting MaxShardCount to the
appropriate type when used in loop comparisons:

- ShardId comparisons: Cast to ShardId(MaxShardCount)
- uint32 comparisons: Cast to uint32(MaxShardCount)

Changed in 5 locations:
- Minus() loop (line 90)
- ShardIds() loop (line 143)
- ToUint32Slice() loop (line 152)
- IndexToShardId() loop (line 219)
- resizeShardSizes() loop (line 248)

This makes the intent explicit and improves type safety readability.
No functional changes - purely a style improvement.
2025-10-27 22:13:31 -07:00
9d013ea9b8 Admin UI: include ec shard sizes into volume server info (#7071)
* show ec shards on dashboard, show max in its own column

* master collect shard size info

* master send shard size via VolumeList

* change to more efficient shard sizes slice

* include ec shard sizes into volume server info

* Eliminated Redundant gRPC Calls

* much more efficient

* Efficient Counting: bits.OnesCount32() uses CPU-optimized instructions to count set bits in O(1)

* avoid extra volume list call

* simplify

* preserve existing shard sizes

* avoid hard coded value

* Update weed/storage/erasure_coding/ec_volume_info.go

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update weed/admin/dash/volume_management.go

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update ec_volume_info.go

* address comments

* avoid duplicated functions

* Update weed/admin/dash/volume_management.go

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

* simplify

* refactoring

* fix compilation

---------

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>
2025-08-02 02:16:49 -07:00
Chris Luandgemini-code-assist[bot] 891a2fb6eb Admin: misc improvements on admin server and workers. EC now works. (#7055)
* initial design

* added simulation as tests

* reorganized the codebase to move the simulation framework and tests into their own dedicated package

* integration test. ec worker task

* remove "enhanced" reference

* start master, volume servers, filer

Current Status
 Master: Healthy and running (port 9333)
 Filer: Healthy and running (port 8888)
 Volume Servers: All 6 servers running (ports 8080-8085)
🔄 Admin/Workers: Will start when dependencies are ready

* generate write load

* tasks are assigned

* admin start wtih grpc port. worker has its own working directory

* Update .gitignore

* working worker and admin. Task detection is not working yet.

* compiles, detection uses volumeSizeLimitMB from master

* compiles

* worker retries connecting to admin

* build and restart

* rendering pending tasks

* skip task ID column

* sticky worker id

* test canScheduleTaskNow

* worker reconnect to admin

* clean up logs

* worker register itself first

* worker can run ec work and report status

but:
1. one volume should not be repeatedly worked on.
2. ec shards needs to be distributed and source data should be deleted.

* move ec task logic

* listing ec shards

* local copy, ec. Need to distribute.

* ec is mostly working now

* distribution of ec shards needs improvement
* need configuration to enable ec

* show ec volumes

* interval field UI component

* rename

* integration test with vauuming

* garbage percentage threshold

* fix warning

* display ec shard sizes

* fix ec volumes list

* Update ui.go

* show default values

* ensure correct default value

* MaintenanceConfig use ConfigField

* use schema defined defaults

* config

* reduce duplication

* refactor to use BaseUIProvider

* each task register its schema

* checkECEncodingCandidate use ecDetector

* use vacuumDetector

* use volumeSizeLimitMB

* remove

remove

* remove unused

* refactor

* use new framework

* remove v2 reference

* refactor

* left menu can scroll now

* The maintenance manager was not being initialized when no data directory was configured for persistent storage.

* saving config

* Update task_config_schema_templ.go

* enable/disable tasks

* protobuf encoded task configurations

* fix system settings

* use ui component

* remove logs

* interface{} Reduction

* reduce interface{}

* reduce interface{}

* avoid from/to map

* reduce interface{}

* refactor

* keep it DRY

* added logging

* debug messages

* debug level

* debug

* show the log caller line

* use configured task policy

* log level

* handle admin heartbeat response

* Update worker.go

* fix EC rack and dc count

* Report task status to admin server

* fix task logging, simplify interface checking, use erasure_coding constants

* factor in empty volume server during task planning

* volume.list adds disk id

* track disk id also

* fix locking scheduled and manual scanning

* add active topology

* simplify task detector

* ec task completed, but shards are not showing up

* implement ec in ec_typed.go

* adjust log level

* dedup

* implementing ec copying shards and only ecx files

* use disk id when distributing ec shards

🎯 Planning: ActiveTopology creates DestinationPlan with specific TargetDisk
📦 Task Creation: maintenance_integration.go creates ECDestination with DiskId
🚀 Task Execution: EC task passes DiskId in VolumeEcShardsCopyRequest
💾 Volume Server: Receives disk_id and stores shards on specific disk (vs.store.Locations[req.DiskId])
📂 File System: EC shards and metadata land in the exact disk directory planned

* Delete original volume from all locations

* clean up existing shard locations

* local encoding and distributing

* Update docker/admin_integration/EC-TESTING-README.md

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

* check volume id range

* simplify

* fix tests

* fix types

* clean up logs and tests

---------

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
2025-07-30 12:38:03 -07:00
chrislu ae5bd0667a rename proto field from DestroyTime to expire_at_sec
For TTL volume converted into EC volume, this change may leave the volumes staying.
2024-10-24 21:35:11 -07:00
augustazzandxuwenfeng 0b00706454 EC volume supports expiration and displays expiration message when executing volume.list (#5895)
* ec volume expire

* volume.list show DestroyTime

* comments

* code optimization

---------

Co-authored-by: xuwenfeng <xuwenfeng1@zto.com>
2024-08-16 00:20:00 -07:00
chrislu 26dbc6c905 move to https://github.com/seaweedfs/seaweedfs 2022-07-29 00:17:28 -07:00
Chris Lu f8446b42ab this can compile now!!! 2021-02-16 02:47:02 -08:00
Chris Lu a18f62bbe7 only copy required shards 2019-12-23 18:06:13 -08:00
Chris Lu 09ca936c78 shell: add ec.decode command 2019-12-23 12:48:20 -08:00
Chris Lu 3f9ecee40f working with reading remote intervals 2019-05-28 21:29:07 -07:00
Chris Lu af67d99ca4 incrementally update master ec shards state 2019-05-26 00:21:17 -07:00
Chris Lu f0e6574d5e allocate ec shards to volume servers 2019-05-25 02:02:44 -07:00
Chris Lu 6f4b09b6a4 pb shard info uses ShardBits instead one message for one shard 2019-05-24 13:28:44 -07:00
Chris Lu 228850d588 shard id starts from zero 2019-05-24 11:52:23 -07:00
Chris Lu 8a96445f40 register ec shards to each data node 2019-05-23 22:51:18 -07:00
Chris Lu 4659d80035 prepare to register ec shard info in master 2019-05-23 00:42:28 -07:00
Chris Lu 7180520889 ec shard info can be queried via VolumeList() 2019-05-22 22:44:28 -07:00