Commit Graph
4 Commits
Author SHA1 Message Date
Chris LuandGitHub e55db58ca9 feat(s3/lifecycle): expose Prometheus metrics (Phase 7) (#9375)
* feat(s3/lifecycle): expose Prometheus metrics (Phase 7)

Five new gauges/counters under the s3_lifecycle subsystem so operators
can see what the worker is doing without grepping logs:

- dispatch_total{bucket,kind,outcome} — every LifecycleDelete RPC
  bumps this. Outcome is the proto enum name (DONE, NOOP_RESOLVED,
  RETRY_LATER, BLOCKED, …) plus a synthetic "RPC_ERROR" for transport
  failures classified as RETRY_LATER.
- schedule_depth{shard} — pending matches in each shard's schedule,
  sampled on the dispatcher tick.
- cursor_min_ts_ns{shard} — per-shard min cursor timestamp; lag is
  derived as (now - min) by the scrape side.
- events_total{shard} — meta-log events the reader fed to the router.
- bootstrap_dispatch_total{bucket,kind} — bootstrap-walk dispatches.

Test asserts the dispatch counter increments for both DONE and
RPC_ERROR paths.

* fix(stats): purge lifecycle bucket label series in DeleteBucketMetrics

The two new bucket-labeled lifecycle counters
(S3LifecycleDispatchCounter, S3LifecycleBootstrapDispatchCounter)
weren't included in DeleteBucketMetrics, so explicit bucket teardown
left their label series behind — same cardinality leak the existing
counters above already avoid. Tack them onto the same DeletePartialMatch
chain.
2026-05-08 17:49:10 -07:00
Chris LuandGitHub 05d31a04b6 fix(s3tests): wire lifecycle worker for expiration suite (#9374)
* fix(s3tests): wire lifecycle worker for expiration suite

The upstream s3-tests `test_lifecycle_expiration` / `test_lifecyclev2_expiration`
exercise the "set rule, wait, verify deletion" path. Phase 4 (#9367) intentionally
stripped the PUT-time back-stamp, so pre-existing objects no longer pick up TtlSec
on a freshly-applied rule. The s3tests CI bare-bones `weed -s3` had nothing left
driving expiration.

Three changes that work together:

- Engine scales `Days` by `util.LifeCycleInterval`. Production keeps the 24h day;
  the `s3tests` build tag shrinks it to 10s so a `Days: 1` rule completes inside
  the suite's 30s polling window. Exported `DaysToDuration` so sibling-package
  tests pin to the same scale.
- Scheduler/dispatcher tick defaults split into `_default` / `_s3tests` files.
  Production stays 5s/30s/5m; the test build runs at 500ms/2s/2s so deletions
  land within a couple ticks of becoming due.
- s3tests.yml spawns `weed shell s3.lifecycle.run-shard -shards 0-15 -events 0
  -runtime 1800s` alongside the s3 server in both the basic and SQL blocks; the
  shell command runs the full pipeline (reader + scheduler + dispatcher) for the
  duration of the suite. `test_lifecycle_expiration_versioning_enabled` is left
  out for now — versioned-bucket expiration via the worker still needs its own
  pass.

Drive-by: bump `TestWorkerDefaultJobTypes` to 7 to match the registered
handler count (8b87ceb0d updated `mini_plugin_test.go` for the s3_lifecycle
plugin but missed this twin test).

Two retention-gate engine tests `t.Skip` under the s3tests build because they
rely on absolute lookback-vs-retention math the day-rescale collapses; the prod
build still covers them.

* review: harden lifecycle worker spawn + assert handler identity

- Workflow: aliveness check on the backgrounded `weed shell` (a bad command
  exits in <1s and the suite would otherwise just opaque-timeout); move
  worker/server teardown into a `trap cleanup EXIT` so failure paths still
  print the worker log and reap the data dir.
- worker_test: check the actual job-type set by name, not just the count.

* fix(shell): keep s3.lifecycle.run-shard alive when no rules exist yet

The s3-tests CI runs the worker BEFORE any test creates a bucket, so
LoadCompileInputs returns empty and the shell command was bailing out
with "no buckets with enabled lifecycle rules found" within ~1s. The
aliveness check then fired exit 1 before tox ever started.

Two changes:

- Don't early-exit on empty inputs. Compile against the empty set, log a
  one-liner, and let the pipeline run normally — the meta-log subscription
  is already up, so events for buckets created later DO arrive; they just
  need the engine to know about them when they do.
- Add `-refresh <duration>` (default 5m, 2s in s3tests CI) that
  periodically re-runs LoadCompileInputs + engine.Compile so rules added
  after startup land in the snapshot the dispatcher reads on its next
  tick. Production deployments keep the 5m default; only the CI workflow
  drops to 2s.

Workflow passes `-refresh 2s` in both basic and SQL blocks.

* fix(shell): backfill pre-rule entries via bootstrap walker

The reader-driven path only sees meta-log events created AFTER its
engine snapshot knows the rule. The s3-tests CI scenario PUTs objects
first, then PUTs the lifecycle config, so by the time the engine
refresh picks up the new bucket the object events have already been
seen-and-dropped (BucketActionKeys returned empty for the bucket).

Wire bootstrap.Walk into the shell command:

- bucketBootstrapper tracks buckets seen so far. kickOffNew spawns one
  loop goroutine per fresh bucket.
- Each goroutine re-walks the bucket every walkInterval (defaults to
  the same value as -refresh, i.e. 2s in s3tests CI, 5m in prod) and
  feeds each entry through bootstrap.Walk; due actions dispatch via a
  direct LifecycleDelete RPC. Not-yet-due entries are silently skipped
  and picked up on a later iteration once they age past their (rescaled
  or real) threshold.
- LifecycleDelete is called with no expected_identity; the server-side
  identityMatches treats nil as "skip CAS", which is the right call
  for bootstrap (the bootstrap entry doesn't carry chunk fid /
  extended hash anyway).

The dispatcher's pkg-private toProtoActionKind is duplicated in the
shell file rather than exported, since the shape is six lines and the
reverse import would pull a proto dep into the s3lifecycle root.

* refactor(s3/lifecycle): hoist bucket bootstrapper into scheduler pkg

The shell command got the backfill in the previous commit but the worker
plugin (weed/worker/tasks/s3_lifecycle/handler.go) drives Scheduler.Run
directly and missed it — same root cause: the reader-driven path only
sees events created after the rule lands, so a daily cron picking up a
freshly-PUT rule wouldn't expire any pre-rule object.

Move the looping bucket walker into scheduler.BucketBootstrapper:

- Scheduler.Run now constructs one and calls KickOffNew on every engine
  refresh. Per-bucket goroutines re-walk every BootstrapWalkInterval
  (defaults to RefreshInterval — 5m in prod, 2s under s3tests).
- The shell command consumes the same struct instead of its own copy
  so the two paths can't drift in semantics.

* refactor(s3/lifecycle): walk-once + schedule via event injection

Previous per-bucket walker re-listed every WalkInterval forever. For a
bucket with N objects under a long rule, the worker did O(N * runtime /
walkInterval) listings even when nothing was newly due — way too much
for production-scale buckets.

New approach: walk each bucket exactly once on first sight, synthesize
one *reader.Event per existing entry, push it onto Pipeline.events.
Router.Route builds a Match with DueTime=mtime+delay; future-due matches
sit in the per-shard Schedule and fire when their DueTime arrives.
Currently-due matches fire on the very next dispatch tick.

Wiring:

- dispatcher.Pipeline lifts its events channel into a struct field
  with sync.Once init, and exposes InjectEvent(ctx, ev). Reader no
  longer closes the channel — the dispatch goroutine exits on runCtx
  cancellation, which works the same as channel-close did.
- scheduler.BucketBootstrapper drops the WalkInterval ticker. KickOffNew
  spawns one walker goroutine per fresh bucket; the goroutine lists,
  synthesizes events, then exits.
- scheduler.Scheduler builds its pipelines up front and exposes a
  pipelineFanout (shard -> Pipeline) as the EventInjector, so a multi-
  worker scheduler routes each synthesized event to the pipeline that
  owns its shard.
- Shell command's single-pipeline path passes pipeline.InjectEvent
  directly.

Synthesized events carry TsNs=0; dispatcher.advance treats that as a
no-op so the reader's persisted cursor isn't ratcheted past unprocessed
meta-log events. Identity (HeadFid + ExtendedHash) is still computed
from the real filer entry, so the server's identity-CAS catches an
overwrite between bootstrap and dispatch.

* debug(s3tests): make lifecycle worker progress visible in CI logs

The previous CI failure dumped an empty $LC_LOG even though the worker
was running. Two reasons:

1. weed shell suppresses glog by default (logtostderr / alsologtostderr
   set to false). Pass `-debug` so the bootstrapper's V(0) lines reach
   stderr instead of disappearing into /tmp/weed.*.log.
2. cleanup used `kill -9` which skips Go's stdout flush. SIGTERM first
   with a 1s grace, then SIGKILL the holdout, then read the log.

While here: bump the bootstrap walker's two informational logs to V(0)
so the diagnosis from CI doesn't require -v=1 on the worker.

* fix(s3/lifecycle/dispatcher): refresh snap on every event

Pipeline.Run captured snap at startup and only refreshed it on the
dispatch tick. With bootstrap event injection, the walker pushes events
seconds after engine.Compile sees the bucket — typically WITHIN the
same dispatch interval. Routing against the cached (empty) snap then
silently dropped every match because BucketActionKeys returned nil for
the bucket-not-yet-in-snapshot case.

Re-fetch on each event. Engine.Snapshot is an atomic.Pointer.Load, so
the cost is negligible. The dispatch-tick branch keeps using a fresh
local read for its own loop, so its semantics are unchanged.
2026-05-08 17:29:47 -07:00
Chris LuandGitHub 89aab30821 feat(s3/lifecycle): wire AbortIncompleteMultipartUpload (Phase 5a) (#9368)
* feat(s3/lifecycle/router): emit ABORT_MPU events for .uploads/<id> init dirs

Detect a meta-log event at exactly .uploads/<upload_id> (a directory)
and build the ObjectInfo from its destination key (entry.Extended[key])
so a rule with Filter.Prefix=foo/ matches an MPU uploading to foo/bar.
Sub-events under .uploads/<id>/<part> ride a different mtime and would
over-fire the ABORT_MPU schedule, so they're rejected explicitly.

m.ObjectKey stays as ev.Key (.uploads/<upload_id>) — the dispatcher
needs the upload directory path, not the destination key, to actually
remove the in-flight upload.

* feat(s3api): wire LifecycleDelete ABORT_MPU to remove the upload dir

Replaces the retryLater stub. Validates the .uploads/<upload_id> shape
of req.ObjectPath (so a malformed event can't escalate to a wider rm),
then deletes the upload directory under <bucket>/.uploads/<id>. Maps
NotFound to NOOP_RESOLVED, transport errors to RETRY_LATER, success to
DONE.

* refactor(s3api): drop redundant exists check before lifecycle ABORT_MPU rm

s3a.rm already does a NotFound-returning lookup, so the pre-check just
adds a round-trip. Map filer_pb.ErrNotFound to NOOP_RESOLVED on rm,
keep transport errors as RETRY_LATER.

* refactor(s3/lifecycle/router): use s3_constants for MPU paths + Extended key

Drop the hardcoded ".uploads/" and "key" string literals; the symbols
already exist as s3_constants.MultipartUploadsFolder and
ExtMultipartObjectKey, and the server side reaches them through the
same constants. Keeping the test helpers tied to those names also makes
the negative-result tests meaningful — they'd otherwise still pass if
the lookup constant drifted.

* fix(s3api): close lifecycle ABORT_MPU traversal + NOT_FOUND gaps

Two issues with the recent ABORT_MPU plumbing:

- "." and ".." passed the no-slash check but resolve to the bucket root
  via util.JoinPath, so .uploads/.. could rm the wrong directory.
- filer.DeleteEntry suppresses ErrNotFound and returns success, so the
  rm path can't distinguish missing from deleted; the previous version
  reported DONE for an already-aborted upload instead of NOOP_RESOLVED.

Reject the two reserved names explicitly and restore the existence
pre-check so the outcome map stays correct. Add a table-test covering
the rejected paths.

* fix(s3/lifecycle/bootstrap): walk MPU init dirs by destination key

A real MPU init record is a directory under .uploads/<id> created by
mkdir; the bootstrap walker was skipping every directory entry, so an
MPU that existed before the meta-log subscription was never aborted.
Even with the skip relaxed, MatchPath used the .uploads/<id> path, so
a rule with Filter.Prefix=logs/ would never fire on an MPU uploading
to logs/foo.txt.

Add Entry.DestKey, let IsMPUInit directories through, and use DestKey
for both MatchPath and ObjectInfo.Key. A bare init directory with no
DestKey means metadata hasn't landed yet — skip rather than guess.

* fix(s3/lifecycle): gate (kind, info) shape so MPU init only fires ABORT_MPU

An MPU init record carries IsMPUInit=true and IsLatest=false. Without
gating, the router and bootstrap walker matched it against every active
ActionKey for the bucket, so NONCURRENT_DAYS / NEWER_NONCURRENT fired
(IsLatest=false reads as a noncurrent version). The dispatcher would
then BLOCK on empty version_id and freeze the cursor.

Add a shape gate at both call sites:
  - IsMPUInit + non-ABORT_MPU kind → continue
  - regular object + ABORT_MPU kind → continue

Plus a defense-in-depth check at the top of EvaluateAction so future
callers can't reintroduce the bug. Tests cover all three layers.

* test(s3/lifecycle): tighten dual-action coverage at the call sites

- Walk multi-action: replace the kinds-as-set check with an exact-shape
  DeepEqual on (path, kind) tuples. The set check would have missed an
  MPU init wrongly firing NONCURRENT_DAYS — exactly the regression the
  (kind, info) gate fixes.
- Router: add a converse case for the dual ExpirationDays +
  AbortIncompleteMultipartUpload rule. A regular current-version object
  must fire only EXPIRATION_DAYS; without the gate the dispatcher would
  also receive ABORT_MPU and rm the object via the MPU code path.
2026-05-08 12:12:42 -07:00
Chris LuandGitHub 4f79d8e358 feat(s3/lifecycle): bucket-level bootstrap walker (#9350)
* feat(worker): add TaskTypeS3Lifecycle constant

Single job type for the lifecycle worker; the S3LifecycleParams.Subtype
field (READ / BOOTSTRAP / DRAIN) dispatches inside the handler. The
"s3_lifecycle" string is already wired to LaneLifecycle in
admin/plugin/scheduler_lane.go so adding the constant doesn't change
runtime behavior — it lets future commits reference the type name
without sprinkling string literals.

* feat(s3/lifecycle): bucket-level bootstrap walker

Iterates entries in a bucket, evaluates every active ActionKey in the
engine snapshot against each entry, and dispatches inline-delete for
currently-due actions. Date-kind actions and pending_bootstrap actions
are skipped — the former are handled by their own SCAN_AT_DATE
bootstrap, the latter aren't IsActive() yet.

Walker is callback-driven so callers supply the listing source
(real filer_pb.SeaweedList or test fake) and the dispatcher (real
LifecycleDelete client or test fake). This keeps the walker free of
filer_pb dependencies and makes the per-action evaluation flow
unit-testable in isolation.

Checkpoint state (LastScannedPath, Completed) is returned to the
caller, who is responsible for persisting it under
/etc/s3/lifecycle/<bucket>/_bootstrap. Walk() honours opts.Resume so
a kill-resumed task picks up where the previous walker stopped.

Tests cover: prefix-mismatched skip, not-yet-due skip (reader's job),
date-kind skip, pending_bootstrap skip, multi-action rule (one rule
with three actions dispatches three times — the regression that
per-action keying fixes), dispatch error halts at last-successful
checkpoint, Resume skips entries up to and including the resume
path.

* test(s3/lifecycle): walker test uses bucket-scoped ActionKey

Mechanical follow-up to the bucket-scoped ActionKey on
lifecycle-engine: the bootstrap walker tests construct ActionKeys to
seed PriorStates and need the Bucket field to match what
engine.Compile keys against.

* fix(s3/lifecycle): walker quick wins

Two minor cleanups noted on review:

- Drop the redundant Resume re-filter inside the Walk callback.
  ListFunc's contract already promises "skip entries with Path <=
  start"; trusting that contract avoids divergence if the filter
  logic ever changes on one side and not the other.

- Hoist the ObjectInfo allocation out of the per-action loop in
  walkEntry. Multi-action rules previously allocated one ObjectInfo
  per (entry, kind) pair; now it's one per entry, reused across all
  matching kinds.

* fix(s3/lifecycle): walker Entry.NoncurrentIndex tracks ObjectInfo's *int

ObjectInfo.NoncurrentIndex is now *int so unset is unambiguous;
mirror that on bootstrap.Entry so the per-entry construction stays
type-clean. Phase 5 (versioned-bucket walks) is the first caller
that will populate the field.

* refactor(s3/lifecycle): trim narration from bootstrap walker

Drop the inline step-by-step on Walk and the multi-paragraph package
preamble; the function names already say it. Keep one-liner WHYs at
the SCAN_AT_DATE skip and the once-per-entry ObjectInfo build.

* fix(s3/lifecycle): walker skips directories and ModeDisabled actions

Two safety findings from review:

1. SeaweedFS directory entries can appear in the listing alongside
   objects; without an IsDirectory check the walker would treat a dir
   like any other entry and could dispatch a delete against it. Add
   IsDirectory to bootstrap.Entry and short-circuit it before
   walkEntry.

2. ModeDisabled is set by the operator (e.g. shell pause) independent
   of the XML rule's Status field. EvaluateAction gates on Status and
   would still fire for an operator-disabled action whose XML status
   is "Enabled". Skip ModeDisabled explicitly in walkEntry alongside
   the existing SCAN_AT_DATE skip.

Two regression tests pin both cases.

* perf(s3/lifecycle): reuse ObjectInfo across walker entries

Walker allocated one ObjectInfo struct per entry. For buckets with
millions of objects that's measurable GC pressure. Hoist the
allocation out of the per-entry callback (one per Walk) and reuse
via field assignment in walkEntry.

EvaluateAction reads ObjectInfo synchronously and doesn't retain a
reference, so the reuse is safe — the next iteration's overwrite
can't corrupt an in-flight evaluation.

* refactor(s3/lifecycle): trim narration on walker

Drop the multi-line Entry / ObjectInfo-reuse / SCAN_AT_DATE+DISABLED
explanations. The walker's structure is small enough that the
condition itself reads as the documentation.
2026-05-07 15:04:51 -07:00