Commit Graph
2 Commits
Author SHA1 Message Date
Chris Lu 11791fad6a filer: resolve the collection a bucket delete drops (#11439)
* filer: resolve the collection a bucket delete drops

A bucket delete dropped the collection named after the bucket, which
assumes bucket name is collection name. With a collection rule the
write path honors, deleting the bucket either orphaned its collection
or, when a bucket was named after a shared collection, removed volumes
other buckets still write to.

Resolve the collection through the same rule chain the write path uses
and drop it only when no other bucket resolves there too. A listing
failure keeps the collection, the safe side of an unknown.

* filer: prove collection exclusivity across all paths before dropping it

The sibling-bucket scan missed every non-bucket writer: a broad rule like
'/' or '/buckets/', a rule under a surviving bucket, or a rule on an
unrelated path can route into the same collection. Check every storage
rule's prefix instead, and mirror the grouped gateway's explicit
<group>_<bucket> collection, which otherwise resolves a rule-named
collection the bucket never wrote to.

* s3: let the filer own the collection decision on bucket delete

Both entry points deleted a name-derived collection around the filer's
own resolved delete, bypassing its exclusivity check and wiping sibling
data. The filer now resolves the collection a bucket actually used,
including the grouped form.

* filer: keep a collection the default write route also uses

Rule-less writes outside buckets land in the filer's default collection,
so a bucket resolving there shares it with them.
2026-09-25 07:30:42 +08:00
Chris Lu ba5b14b457 master, filer, s3api: bound the collection deletes that strand a caller (#11026)
* master: bound each volume server DeleteCollection, and finish the fan-out

A collection delete fanned out to every volume server holding it with
context.Background(), so a server that accepted the connection and then
went quiet held the whole delete open with nothing to end it. Each RPC is
bounded now, on the same budget allocateVolumeTimeout gives the other
master-to-volume-server admin RPC. The volume server runs the delete to
completion regardless of the request context, so giving up costs the
confirmation and not the deletion.

The walk itself is the caller's, not a per-server one:

- It outlives the caller. A cancelled request must not abandon a
  destructive fan-out part-done, with volumes left behind and no request
  still running to come back for them.
- It no longer stops at the first server that refuses, which left the
  collection on every server after it in the list. The first failure is
  still what is reported, and the collection stays in the topology so a
  later delete comes back for the rest.
- It sends one RPC per server rather than one per replica.
  ListVolumeServers reports a node once for every replica it holds, while
  DeleteCollection removes the whole collection from the server it
  reaches, so a collection with thousands of volumes repeated the same
  whole-collection delete thousands of times over.

Both passes run too. Returning after a failed normal pass left the
collection's EC shards in place with nothing left to retry them.

Claude-Session: https://claude.ai/code/session_01EnB1fbryyKc2LetRZxQPTP

* master: delete the EC shards behind /col/delete too

The HTTP handler carried its own copy of the volume-server walk and only
ever ran the normal pass, so a collection deleted through it kept its EC
shards. It shares the gRPC path now, which also gets it the bounded RPCs
and the one-per-server fan-out.

Claude-Session: https://claude.ai/code/session_01EnB1fbryyKc2LetRZxQPTP

* filer: bound the collection delete a bucket delete leaves behind

Deleting a bucket entry deletes its collection afterwards, deliberately
detached from the request so a client that hangs up cannot strand the
bucket's volumes. Detached meant unbounded, though: with the master down
or mid-election the wait for a leader has nothing to end it, so the
handler parks, and the client retrying behind it parks another.

It keeps outliving the request and now carries a deadline of its own. The
budget bounds the wait, not the work: the master keeps deleting on its own
fan-out once asked, so giving up costs the confirmation.

Claude-Session: https://claude.ai/code/session_01EnB1fbryyKc2LetRZxQPTP

* s3api: bound the collection RPCs a bucket creation and deletion issue

Neither carried a deadline, so a transient failure anywhere down the chain
held the S3 request open until the client gave up on it. Both budgets are
taken outside the filer failover walk, so one budget covers the whole walk
rather than granting each filer a fresh one.

The walk itself stops when that budget is spent, and stops without blaming
anyone: the caller's own expiry is not evidence against the filer that was
answering, and the next filer has no time left to answer in either.
Recorded as a filer failure, a slow master upstream would flag every filer
in the walk, and the three failures that open the circuit take unrelated
object reads down with them.

Claude-Session: https://claude.ai/code/session_01EnB1fbryyKc2LetRZxQPTP

* s3api: a failed collection listing no longer fails a bucket creation

PutBucket lists collections to notice a leftover one it is about to reuse.
The result feeds a warning and nothing else -- s3a.exists is what decides
whether the bucket already exists -- yet a transient failure of that
listing returned 500 and refused the creation. It is advisory now, so a
failure is logged and the creation continues, exactly as it does when the
listing returns false.

Claude-Session: https://claude.ai/code/session_01EnB1fbryyKc2LetRZxQPTP
2026-08-28 16:32:30 -07:00