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192
Commits
| Author | SHA1 | Message | Date | |
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 Chris Lu
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eed5e8cdf6 |
s3: return the multipart object checksum in the CompleteMultipartUpload response (#11101)
* s3: return the multipart object checksum in the CompleteMultipartUpload body S3 carries the flexible-checksum members of CompleteMultipartUploadResult in the XML body, not in response headers, so every SDK read back an empty checksum from an upload that asked for one. Claude-Session: https://claude.ai/code/session_01Huux1uh7JxAbf8yypMYrMk * s3: echo the checksum algorithm and type from CreateMultipartUpload The upload directory already records both, but the response dropped them, so a client could not confirm which checksum its parts had to carry. Claude-Session: https://claude.ai/code/session_01Huux1uh7JxAbf8yypMYrMk * test: multipart upload reports the object checksum it was asked for Covers every algorithm end to end: the create response echoes the algorithm and type, the complete response carries the checksum, and it matches what a later HEAD reports. Claude-Session: https://claude.ai/code/session_01Huux1uh7JxAbf8yypMYrMk |
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Chris Lu
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2a97e08caa |
s3: cover the directory marker key with object lock (#10988)
* s3: enforce object lock when deleting a directory marker The key "dir/" is deleted the unversioned way, ahead of the branches that enforce Object Lock, so a principal with plain delete permission could remove a key the gateway was reporting as COMPLIANCE-retained -- retention set through PutObjectRetention is stored on the directory entry and served back by GetObjectRetention, only the delete ignored it. The same path also takes any key ending in "/" regardless of size, while a PUT only makes a marker of one up to 1KiB. A larger one is a genuine versioned object, and deleting it here dropped its whole history after the versioned delete of the same key had been refused. Enforce in the marker delete itself, so the single, versioned and multi-object delete paths are all covered. * s3: apply object lock headers on a directory marker PUT The trailing-slash branch runs before the versioning and Object Lock handling, so it accepted x-amz-object-lock-* headers and stored none of them: a bucket owner could believe a key was retained while nothing recorded it, and an invalid mode or a past retention date that a regular key rejects came back 200 here. Validate the headers the way the regular path does, store what they ask for beside the owner the same callback already sets, and refuse to replace a key that is already retained. * s3: check every version a marker delete would remove The marker delete clears any history under the key in one recursive removal, while the lock check ahead of it resolves the latest version only. A version retained under an unretained one was taken with the rest, so enforce against each version the removal covers. * test: pin the marker lock refusals to AccessDenied A bare require.Error passes on any failure, including one that has nothing to do with the lock. Assert the code, the key the batch delete reports, and that the marker survives each refusal. * s3: check the history entries a version list leaves out The version list skips an entry without a version id, while the removal takes it with the rest, so an entry an older build left unnamed escaped the check. Walk the history directly instead, and refuse when an unnamed entry is still under a retention or a legal hold of its own. * s3: let a governance bypass reach an unnamed history entry The unnamed branch refused every active retention, so a caller allowed to bypass governance could not clear one, which the named path lets through. Refuse a legal hold and compliance mode as before, and take the bypass into account for governance. * s3: keep the object lock decision in one place The unnamed history entry had to repeat the retention and legal hold rules inline because the enforcement helper only takes a key to look up. Split the part that judges an entry out of it and call that from both. * s3: guard a marker PUT on the entry it replaces The overwrite check resolved the key's latest version, but mkdir builds a fresh entry for the marker itself, dropping the lock metadata the old one carried. Once the key had a history, an unlocked version answered for a retained marker and a plain PUT replaced it. Judge the entry the write is about to replace instead; a versioned write of the same key still adds a version, which is its own to allow. * s3: guard a marker delete on the entry it removes The check ran against the key rather than the entry, so once the key had a history it answered with a version and the retention recorded on the marker itself went unseen. Judge the entry that is about to be removed, the same way the PUT side now does; the versions under it are still covered by the walk that follows. * s3: take the object write lock for a marker PUT The overwrite check read the entry that the mkdir after it replaces, so two marker PUTs could both pass while one was still unlocked. The marker delete already runs under this lock; hold it across the check and the mkdir so the entry cannot change in between, and so the two paths are serialized against each other. |
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Chris Lu
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d8a189f07f |
s3: keep a missing object a 404 under If-Match and If-Unmodified-Since (#10985)
* s3: keep a missing object a 404 under If-Match and If-Unmodified-Since GET and HEAD resolved the target before evaluating the conditional headers, and a missing target failed If-Match and If-Unmodified-Since outright, so absence surfaced as 412 PreconditionFailed. AWS reports the missing object instead: 404 for HeadObject, NoSuchKey for GetObject, and 412 only when a live object fails the condition. Clients cannot tell absence from a stale precondition without an extra racy HEAD, so OpenDAL disabled its four conditional stat/read capabilities against SeaweedFS. A precondition now only fails against an object that exists; a missing one -- including a latest version that is a delete marker -- returns NoSuchKey. Claude-Session: https://claude.ai/code/session_01X4kEbuwxd9DFsTnSXjfjgv * s3: evaluate a conditional read against the version the request names GET and HEAD resolved the latest version before evaluating the conditional headers, so a request carrying versionId had its If-Match compared against a different version than the one it was asking for: a live version whose ETag the client held failed once a newer version -- or a delete marker -- became the latest. resolveObjectEntry now resolves the named version on a versioned bucket, the way DELETE already does. A named version that resolves to nothing is left to the handler, which alone knows whether the bucket is versioned and so whether it owes NoSuchVersion. Claude-Session: https://claude.ai/code/session_01X4kEbuwxd9DFsTnSXjfjgv |
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Chris Lu
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f5f1dcbd8c |
s3: keep verifying the request host when externalUrl is set (#10970)
* s3: keep verifying the request host when externalUrl is set externalUrl was the only host candidate once set, so a client that dialed the gateway directly instead of through the proxy always got SignatureDoesNotMatch. Make it lead the candidate walk instead: every candidate still needs a valid signature, and the request-derived hosts are already trusted when the flag is unset, so a mixed proxy plus in-cluster topology can now advertise a public endpoint and verify both planes. * s3: cover virtual-hosted addressing behind externalUrl The old pin also rejected an external client that signed bucket.api.example.com, since only the bare externalUrl host was ever tried. The candidate walk covers it; pin the case down. |
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Chris Lu
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863fec6c3f |
S3: let a key that is a prefix of other keys be an object (#10912)
* filer: keep the sentinel when CreateEntry reports an update failure CreateEntry flattened the error UpdateEntry wraps, so errors.Is stopped matching and ErrExistingIsDirectory and ErrExistingIsFile never reached the S3 mapper, which answered a retryable 500 instead. * s3: let a key that is a prefix of other keys be an object S3 keys are flat, so "a/b" and "a/b/c" are independent objects that coexist in either write order. The filer stores a key as a path, so one of them has to live on the directory the other is nested under. Writing the nested key first refused the prefix key outright. Writing it second promoted the file to a directory, which kept its data but lost the key: an empty object left nothing to recognise it by and disappeared, and one with data listed under a trailing slash it never had. Mark the directory that carries such a key, and write the object onto it when the path is already a directory. The mark makes an empty prefix object visible to listings and readable by GET and HEAD, keeps the empty folder cleaner off it, and lists it under the key it was written with. Deleting the key strips the mark back off along with the data. * filer: keep a TTL off a directory that stands for an object An expired entry is deleted a row at a time, so expiring a directory removes it and leaves everything under it unreachable. Promoting a file to a directory carried its TTL across, and a promoted file is exactly the one that has keys nested under it. Drop the TTL on promotion, and leave one an older build wrote alone. The lifecycle worker still expires the object, through the delete that leaves the directory behind. * s3: delete the null version of a key other keys are nested under The routed delete cannot remove an entry that other keys live under, and answered a retryable 500 rather than falling back to the lock path the unversioned delete already falls back to. That path then looked the entry up under the bucket with the whole key as its name, so the demote wrote it back one directory too high and failed as not found. Fall back on any non-precondition error, and split the key before deleting it. Trailing-slash directory markers with children reach the same delete. * filer: keep the sentinel when MkFile and Mkdir report a create failure Same flattening one layer out: every mkFile caller lost the sentinel, so a CopyObject onto a key that other keys are nested under answered a retryable 500 where a PutObject of the same key answers 409. * s3: copy and rename a key that other keys are nested under Such a key is stored on the directory those keys live in, and copy and rename both refused it: the source lookup maps every directory entry to NoSuchKey, so a key a plain GET serves could not be copied or moved, and the destination side refused it as a directory conflict. The source is read through a view of the entry as the object it names. The destination is written the way a PutObject of that key writes it. A rename at either end copies the object's own data across and strips it off the source key rather than going through AtomicRenameEntry, which moves a directory by moving everything under it - the nested keys are not part of what is being renamed. |
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Chris Lu
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8c7d714d5e |
Lance catalog, and a Rust plugin worker to maintain it (#10841)
* iceberg: skip tables the maintenance worker does not own A Lance dataset registered through the Lance namespace's Iceberg REST adapter arrives as an Iceberg table with a placeholder schema and table_type=lance, and keeps its fragments under data/ - the same subdirectory the orphan cleaner walks. Every fragment is unreferenced by the Iceberg metadata, so a maintenance pass deletes the dataset. Views share the entry shape and were only skipped because parsing their metadata happened to fail first. Gate the scan and the execution path on the entry actually being an Iceberg table. Maintenance is off by default, so this was latent rather than live. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * s3tables: let a table declare a format the catalog does not interpret CreateTable accepted ICEBERG and nothing else. A Lance table has no metadata file for the catalog to maintain - the entry records a name and the dataset root, and the client owns everything under it - so accept LANCE, and carry the declared format on the entry instead of hardcoding it back on the way out. ListTables now reports format and metadataLocation, so listing a catalog that holds both kinds takes one pass rather than a GetTable per row. AWS omits both fields; adding them is additive. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * s3tables: move the in-memory filer into its own package The Lance namespace tests need the same harness, and copying it would leave two of them to keep in step. Extracted as it was, plus the two fidelity gaps that only surface once a paginating caller uses it: ListEntries ignored startFromFileName and limit, so a caller that paginates re-read the first page until it hit its own cap and reported the same entry over and over, and GetFilerConfiguration was missing, which CreateTableBucket needs to resolve the buckets directory. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance: serve the Lance Namespace REST spec A second catalog surface beside the Iceberg one, over the same table buckets: the namespace and table metadata operations, the $-delimited identifier codec, the spec's numeric error model, the directory-catalog marker files, and storage_options vending through the STS path the Iceberg catalog already uses. Listens on -port.lance, 9101 by default, and inherits ARNs, policies and tags from the storage layer, so a Lance table needs no second permission model. Identifiers map bucket / namespace / table onto the three levels Lance clients already use, which is why there is no warehouse selector to invent. The data plane needs Lance format support that does not exist in Go and answers with the spec's Unsupported code rather than a bare 404. Two things it deliberately will not do: create a table bucket as a side effect of creating a namespace inside one, since a bucket carries its own policy and lifecycle, and resolve an Iceberg table's location for a Lance client, which would hand it a table another engine owns. The design note this follows is in design-lance-catalog.md, including the .lance directory suffix it proposed and this does not implement. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * mini: give the Lance port the same treatment as the Iceberg one The flag was registered but nothing else knew about it, so mini would start the server without reserving its port, waiting for it, or saying where it is. Adds it to the startup service list, the conflict resolver, the gRPC allocator's reserved set, the readiness wait, the stop reporting and the banner. The admin server still takes only the Iceberg port, because there is no Lance page for it to link to. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance: stop deregister and repoint from deleting the dataset Deregistering preserves data by definition, and this did the opposite: the catalog entry is the dataset directory, so DeleteTable took the files with it. Registering over an existing name had the same shape, destroying the dataset the name used to hold. Found by driving the running server rather than the in-memory filer, where both looked like success because the table did stop being listed. Deregistering is now a state on the entry - the marker file hides it, and declaring or registering the name again brings it back. Repointing a name at another dataset is an UpdateTable against the version token, so neither dataset loses files. Drop is left alone; it is the operation that does remove data. The storage endpoint now falls back to the advertised -ip where the Iceberg derivation gives up. An Iceberg client brings its own s3.endpoint and advertising the wrong one hijacks it, but storage_options is the only place a Lance client learns where the store is, and without it object_store quietly talks to real AWS. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * s3tables: refuse to create a table over one of another format Creating a table that already exists is idempotent, and that path returned the existing table without looking at its format. A Lance declare over an Iceberg table answered 200 and handed back a directory Iceberg owns, so the client would write its dataset on top. The view check immediately above it already guards the same class of collision. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * s3tables: let a table bucket hold a format other than Iceberg The S3 door validated every object written into a table bucket against Iceberg's file layout, so a Lance client could not write its dataset at all: it got 403 on data/*.lance, on _versions/, and on the _transactions/ directory it turned out to write as well. Table buckets were only neutral containers by intention; in practice they were Iceberg-shaped and enforced as such. The allowed set is now the union of what the supported formats write, because the validator runs where the table's format is not in hand. Underscore-prefixed directories are treated as belonging to the format, since enumerating them means guessing at the next one - _transactions is exactly the one this missed - and their contents are checked only for traversal. Iceberg writes none of them, so it loses nothing. Marker files at the table root are admitted too, which the namespace/table/dir/file shape had rejected as too shallow. Describe also honours the request-body spellings of with_table_uri, load_detailed_metadata and check_declared. The spec puts them in the query string, but real clients send both. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * design: record what the implementation found The table bucket being an Iceberg-shaped container, enforced at the S3 door, was the premise this design never questioned and the one that had to change before anything worked end to end. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * iceberg: prove the data loss the foreign-format guard prevents The guard landed with a unit test for the predicate and nothing showing what it saves. These seed what the Lance namespace's Iceberg REST adapter actually leaves behind - an Iceberg table with a placeholder schema and table_type=lance whose directory holds a Lance dataset - and assert both halves: orphan collection does flag the dataset's fragments, because the Iceberg metadata beside them references nothing, and the scan never reaches the table. An ordinary Iceberg table in the same shape is still scanned, so the guard is not just skipping everything. Confirmed against a running gateway first: our Iceberg catalog accepts the adapter's registration, and a real Lance client then writes a dataset into that table's location. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * s3tablestest: make the in-memory filer safe to race against Two gaps that only matter once a test drives concurrent writers, which is what an exclusive create has to be tested with: the entry map had no lock, and CreateEntry ignored O_EXCL entirely, so both writers of the same name would have won and the test would have passed while proving nothing. The BeforeUpdate hook runs before the lock is taken. Its whole purpose is to land a competing write in a handler's read-to-write window, and that write needs the lock the hook would otherwise be holding. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance: make the namespace an external manifest store Lance commits a version by writing _versions/{v}.manifest with put-if-not-exists. The S3 layer in front of this same filer evaluates If-None-Match by looking the entry up and then writing without a precondition, so two writers can both pass the check and one commit is lost. The filer itself has the primitive: CreateEntry with o_excl. Adds the four version operations a Lance client actually calls - create, list, describe and batch-delete - recording one entry per version under _lance_versions/, and advertises managed_versioning so the client routes its commits here. Reserving a version is the exclusive create, so exactly one of several racing writers wins and the rest rebase. Off by default, behind -lance.managedVersioning. Turning it on moves where a table's version history lives, and a reader that does not come through this namespace no longer sees all of it; that is the operator's call, not a default. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * design: record what managed versioning does and does not reach The first commit through a namespace-backed store works and is recorded the way the protocol specifies. Later commits do not, because lance 4.0.0 refuses put_if_exists on that path in its own code, so the feature is capped upstream rather than here. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: integration tests for the Lance namespace Everything this surface got wrong so far - a deregister that deleted the dataset, an S3 door that refused every Lance file, a version reservation that could not actually be exclusive - passed against an in-memory filer first. So these run against a live gateway, and where the claim is about data they check storage rather than visibility. Five Go tests on the shared harness: namespace and table lifecycle including that deregister keeps the bytes and drop removes them, that a Lance client cannot resolve or declare over an Iceberg table, that a Lance dataset's files get past the table-bucket layout guard while junk still does not, and that eight writers racing for one version produce exactly one winner. One Docker-gated test drives the real Lance client, which is the only way to check that the location and storage_options the namespace vends are between them enough to write and read a dataset. It overrides the endpoint with the container's view of the same gateway, because the shared harness binds a wildcard address and so vends none. The harness gains a Lance port and turns managed versioning on; the flag touches nothing outside that surface. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * s3tables: a directory with no namespace metadata is a missing namespace Three callers resolved a namespace by reading its metadata attribute and each tested only for a missing entry, so a directory that carried no metadata came back as an internal error saying "attribute not found". Creating a table under a namespace that does not exist answered 500. Collapses the three copies into one helper that reports both conditions as absent, which is what they are: a directory without namespace metadata is not a namespace. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * iceberg: stop reporting storage-layer refusals as server faults writeManagerError recognised a missing table bucket and sent everything else to 500, so a missing namespace, a duplicate name and a commit conflict all reached the client as InternalServerError with nothing to act on. Creating a table in a namespace that does not exist is the case that turned up: 500 where the spec wants 404 NoSuchNamespaceException. Maps the storage error types onto the exception names this package already uses, and keeps the existing bucket message, which explains how to select a table bucket. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * iceberg: skip a foreign-format table by name, not by failing to parse it A table the namespace created as LANCE carries no Iceberg metadata, so the worker skipped it only because the parse failed, and logged that as damaged metadata. The catalog records the format on the entry and this never read it. Reading it turns an accident into a decision, and separates a mixed catalog from a corrupt one in the logs. The property check beside it still covers the other shape: a real Iceberg table wearing table_type=lance, which is what the Lance namespace's Iceberg REST adapter writes. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * design: answer whether a Lance table needs maintenance It does, and index optimization has no Iceberg equivalent: rows written after an index was built are not covered by it, so a vector search quietly misses them. None of the three jobs can run in the Go worker, and there is no useful subset, because deciding what an old version still references means parsing Lance manifests. Version cleanup at least has an answer that needs nothing from us - Lance can enable it on the dataset itself. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * design: the Lance maintenance worker is a plugin worker, in Rust Framing it as a sidecar was wrong. plugin.proto already defines a language-agnostic gRPC contract for external maintenance workers, and "weed worker -admin=..." is the Go reference implementation of it from outside the admin process. seaweed-volume already compiles protos out of weed/pb with tonic_build, so a Lance worker is that build plus plugin.proto and the lance crate. Scheduling, retries, dedupe, progress and the admin settings page all come from the protocol: a worker that answers RequestConfigSchema with a descriptor gets its configuration form rendered without a line of Go. The data plane is the part that genuinely does need a process answering HTTP, and this had the two conflated. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * seaweed-worker: Rust plugin worker workspace, with Lance as the first one plugin.proto is language-agnostic and the Rust toolchain was already in the tree, so a Lance maintenance worker needs no new integration surface: core is the contract and nothing else, and a worker crate beside it supplies handlers and a binary. A second worker is a new member here rather than a fork of the protocol, which is why this is seaweed-worker and not seaweed-lance-worker. Verified against a running admin: it connects, is accepted, and admin prefetches descriptors for lance_compact, lance_optimize_indices and lance_cleanup_versions, so their settings pages render from the Rust side without a line of Go. The stream stays up across heartbeats. The job bodies are stubs that report failure. Doing the work means adding the lance crate and opening the dataset, and claiming success before that would be worse than saying so. Two things running it caught that reading the proto did not: the admin address has to be converted to the gRPC port the way pb.ServerToGrpcAddress does, or the dial fails as an h2 frame error; and the generated field names differ from the Go ones in several places, so JobCompleted carries success rather than a state enum. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance worker: implement compaction Detection lists tables from the namespace, opens each one, and proposes a job for any with more fragments than the policy allows; opening a dataset reads its manifest and not its data, so a sweep stays cheap. Execution re-resolves the table rather than trusting what detection saw - it may have been repointed, and the vended credentials expire - then compacts and reports the fragment counts either side. Verified against a live gateway: a twelve-fragment dataset became one fragment with all twelve rows intact. The test drives the handler directly and skips unless WEED_LANCE_NAMESPACE names a namespace, the way the Go integration tests skip without Docker. Running it turned up a gap the design had not: a gateway without STS vends no credentials at all, so the worker could not open anything and detection quietly proposed nothing. --access-key/--secret-key are the fallback, and whatever the namespace vends still wins over them. Two API assumptions did not survive contact either. Datasets open through DatasetBuilder::with_storage_options, not ReadParams, and lance 10's ObjectStoreParams has no storage_options field at all. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance worker: implement index optimization and version cleanup Index optimization is the job with no Iceberg equivalent: rows appended after an index was built are invisible to a search of it until this runs. Detection reads num_unindexed_rows from each index's statistics and proposes a table once more rows sit outside its indices than the budget allows; a table with no indices is skipped, which is different from one whose indices have fallen behind. Cleanup applies a retention window, refusing rather than silently dropping a tagged version, and leaving unverified files alone because they may belong to a commit still in flight. Both verified against a live gateway: 512 uncovered rows became 0, and a fourteen-version table lost its old ones. Each test now seeds what it needs, including building an IVF_PQ index and appending rows outside it. The first version of these depended on state a script had left, so the second run found the work already done and asserted nothing - a test that passes by doing nothing is worse than no test. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance: answer an empty catalog with an empty list, not null ListAllTables built its result from a nil slice, so a namespace holding no tables answered {"tables":null} on a field the spec marks required. A generated client may decode that differently from an empty list. Found running the namespace on a dev box, where the catalog was empty. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * admin: give Lance maintenance its own scheduler lane Lane assignment is a hardcoded map, so the three lance_* job types fell through to the default lane. That lane serialises its work under the cluster admin lock because volume management shares global state, which would queue a table's compaction behind volume balancing for no reason - Iceberg has its own lock-free lane for exactly this. Adds the lane, maps the three job types to it, and puts it in the sidebar beside Iceberg and Lifecycle. The lane routes were already generic, so only the nav was hand-written. The lane-coverage test spelled out the three known lanes, so a fourth failed it. It now checks against AllLanes(), which is the property it was reaching for and does not need editing next time. Found by connecting the Rust worker to a real admin: it registered fine and its job types were known, but they were filed under "default" and had no page. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance worker: log what detection saw "Detection proposed nothing" and "the worker could not read the table" look identical from the admin side, and the second is what a missing credential produces. One line per table separates them. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance worker: fix a leaked heartbeat and a silent reconnect loop spawn_heartbeat returned a handle to an empty task rather than the ticker it had just spawned, so aborting it aborted nothing and every reconnect left another heartbeat running against a dead channel. A stream that admin closes cleanly is not an error, but reconnecting in silence hides why. Two workers sharing an id evict each other forever and the log shows nothing but a login every five seconds - which is exactly how this presented on a dev box, and it took a look at the admin's own log to see it. The message now names the id to check. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance: a namespace cannot be created without its parent Storage keeps a namespace's parts flattened, so creating "a.b" with no "a" was accepted and left an intermediate that only existed inside a name. Listing derives child names by slicing those parts, so it reported "a", while describe and exists on "a" both answered 404 - a client walking the tree got a 404 on something the listing had just handed it. The spec asks for NamespaceNotFound when the parent is missing, which is also what keeps listing and describe telling the same story. Namespaces created through the S3 Tables API still bypass this, so listing keeps deriving intermediates rather than hiding whatever is already there. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * admin: say why a non-Iceberg table shows no schema The table pages read Iceberg metadata for schema and snapshots, and a Lance table has none, so both panels rendered "No schema available" - which reads as an empty table rather than a table this page cannot describe. The dataset behind the one that prompted this holds 1024 rows. The format is already on the entry and shown two rows above, so the empty states now use it: the catalog records where a LANCE table lives, not what is in it. Reading the schema for real needs Lance format code, which is the same wall as the data plane. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * seaweed-worker: run rustfmt over the workspace Committed the crates unformatted, so `cargo fmt --all --check` failed on files nothing had touched since. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * plugin: let a worker report what it saw about an object Admin cannot read a Lance table: it knows where the dataset lives and nothing else, so the details page had a location and two empty panels. The worker already opens every dataset during detection to decide whether it needs compacting, so it knows the schema, the row count and the fragment count at that moment. It just had no way to say so. Add a WorkerObservations body to the worker stream. Admin caches the last observation per object and serves it back, timestamped, for display; nothing schedules from it. The Lance compaction sweep reports what it opened, and the S3 Tables details page fills its schema panel from the cache when it has no metadata of its own, badged with when the worker looked and which worker it was. Nothing about this is Lance-specific past the reporting side, which is the point: any format admin cannot parse can describe itself the same way. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * design: record the observation channel Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * plugin: ask a worker for sample rows of a table admin cannot read Browse Data reads an Iceberg table's Parquet files directly, so it shows real rows. For a Lance table it showed "Table has no Iceberg metadata" and an empty grid, because there is no Go Lance reader and never will be one worth maintaining. The worker has the reader. Add RequestObjectPreview / ObjectPreviewResponse to the stream, mirroring the config-schema round trip that already exists, and give the Rust worker a PreviewProvider that scans the dataset and formats the rows with Arrow's own formatter, so a vector column reads as a vector. Admin picks the worker from the observation store: whichever one last described this table is the one that can read it. Unlike an observation the rows are not cached. They are the table's data rather than a description of it, and a copy sitting in admin would be both stale and nobody's business. The page fetches on load, bounded at 200 rows and a 15 second round trip, and drops the snapshot and data-file panels that only mean something for Iceberg. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * design: record the preview channel Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: disable the lance listener when two gateways share a host * test: keep AllocatePorts away from the lance default port * s3tables: let a table bucket declare the format it holds A bucket is a catalog, and a catalog serves one protocol. Format was recorded per table, so nothing could answer "where do I point a client at this bucket" without opening a table first, and an empty bucket had no answer at all. CreateTableBucket takes an optional format, stored with the rest of the bucket metadata and returned by Get and List. Empty means ICEBERG, which is what AWS S3 Tables serves and therefore what an SDK that has never heard of the field means. CreateTable refuses a table of another format, and CreateView refuses outright in a bucket that is not Iceberg, since a view is Iceberg metadata. Buckets that already exist carry no declaration and keep accepting anything, so nothing is migrated and nothing that worked stops working. The Lance namespace declares LANCE for the buckets it creates, which is what stops one of them being described to a client as an Iceberg catalog. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * admin: take the Lance port the way it takes the Iceberg one The UI cannot name the endpoint that serves a Lance bucket without it, and every format-aware page below needs to. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * admin: show which format a table bucket holds The bucket list printed an Iceberg endpoint for every bucket, including ones holding Lance datasets, where that endpoint serves nothing. It was the most visible place the UI assumed one format. The list gains a Format column and its endpoint column follows the bucket's declaration. The banner names both endpoints rather than asserting everything is Iceberg, and says so only for the servers that are actually running. Create Bucket picks a format with two cards rather than a dropdown, since what matters is not the name but which clients can read the result, and the endpoint under them updates as you choose so the operator leaves the modal knowing where to point one. A bucket from before the declaration existed shows "unset" in an outline badge, explained on hover. It is a fact about the bucket's age, not a fault, so nothing nags about it. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * admin: carry the bucket's format into the pages inside it Namespaces and tables are reached through a bucket, so both now say which catalog they belong to rather than making you go back up to find out. The tables list gains a Format column and a Rows column filled from what a worker last observed, since for a format admin cannot read that is the only row count there is; a table nothing has looked at shows a dash, not a zero. Create Table stops offering a choice the bucket has already made: in a declared bucket the format is fixed and says why, and only an undeclared one still offers both. Before this the select had exactly one option, hardcoded, which made a Lance table impossible to create from the UI at all. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * admin: let the table page speak the table's own format Partitions and Snapshot History are Iceberg's shape. Rendering them empty for a Lance table reads as a fault; a Lance table has neither, and says so by not showing them. In their place is a Versions panel, which is what that format calls its history, carrying the worker's timestamp so it is clear the numbers are a cached look rather than something read live. The breadcrumb carries the format badge, so the page names what it is looking at before you read a panel and wonder why it is empty. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * admin: show how to connect to either catalog, and group the two format workers The client examples on the buckets page were Iceberg's alone, so the one thing an operator wants after creating a Lance bucket - what to type to reach it - was not written down anywhere in the UI. Both formats now get a pair of snippets, and only for a server that is running. In the Workers menu, Iceberg moves below Lifecycle so it sits next to Lance: the two table-format workers together, the two cluster-wide ones above them. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * shell: create a table bucket of either format s3tables.bucket -create takes -format, so a Lance bucket can be made without going through the UI. The integration harness passes it too: its Lance tests were creating Iceberg buckets and getting away with it only because nothing checked. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * design: record that a bucket declares its format Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance: drop managed versioning; the store already orders commits The namespace offered itself as an external manifest store, so that a commit could reserve a version through a real put-if-not-exists. That was designed around a gateway that no longer exists: If-None-Match: * is reduced to a filer WriteCondition and evaluated at the object's owner under its per-path lock, or under the object write lock on the fallback path. Sixteen writers racing one fresh key get a single 200 and fifteen 412s, every time. Lance needs nothing else. commit_handler_from_url hands every s3:// dataset a ConditionalPutCommitHandler, which puts with PutMode::Create, which object_store sends as If-None-Match: *. So the feature solved a problem this store does not have, while moving a table's version history out of the dataset and into the catalog - and lance could not use it past the first commit anyway, since its own namespace-backed store answers "put_if_not_exists is not supported" to the second. The version operations answer Unsupported with the rest, managed_versioning is false, and the flag is gone. In place of the reserve-once test there is one that races eight writers at the manifest key through S3, which is the path a commit actually takes. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance worker: honour the version floor, the slot limits, and a shutdown Five findings from review, all of them things the worker claimed to do and did not. The version floor was checked when a cleanup job was proposed and ignored when it ran, so a table whose versions had aged past the retention window in between could be taken below the count the operator asked to keep. Execution now computes the floor itself and passes it as before_version; CleanupPolicy ANDs its clauses, so a version has to be both too old and below the floor to go. Both settings are clamped to the range the form offers, since Duration::hours panics on a large enough value and a negative min-versions wraps to a huge usize. Admin's shutdown was answered by returning from the stream, which the reconnect loop read as a healthy close and logged straight back in: the worker could not be stopped. serve_once now says which of the two happened. The advertised concurrency limits bounded nothing - every request spawned a task - and the heartbeat reported zero slots in use whatever was running. Both now go through semaphores sized from the limits, with the permits held for the life of the request and reported in the heartbeat. A namespace call had no timeout, so a gateway that accepted the connection and went quiet held a detection slot forever. And one table whose stats could not be read failed the whole sweep, losing the proposals for every table already scanned; it is now skipped and warned about, like a table that cannot be opened. The tests drove one shared catalog concurrently, which is why one of them asserted "no proposals at all" and passed by luck. They now take a lock and judge only their own tables. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * admin: fix the review findings on the format-aware pages The endpoint hint in Create Bucket built its HTML by concatenating the bucket name the operator is typing, so a name like <img onerror=...> ran in the admin origin as they typed it. It is built from DOM nodes now. A preview reply looked its channel up under the lock and then sent outside it, which Shutdown can close in between: a Gosched in that gap panics with "send on closed channel" every time. The send now happens under the lock. Observations were looked up by path alone, so a table dropped and remade in another format at the same path was described by the observation left behind. Lookups now have to agree on the format. Also: the Lance namespace caps a request body rather than reading whatever arrives; the details action no longer says "Iceberg" over a Lance table; mini stops advertising a catalog port when it is not running S3; a format whose server this cluster does not run cannot be picked in the modal or accepted by the API, since a bucket nothing can reach is not worth creating; and the unused catalogPortFor helper is gone. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance worker: let the control stream use mTLS The channel was hardcoded to http://, so off loopback the stream carried preview rows and execution commands in the clear - and a cluster with grpc TLS turned on would refuse the worker outright. --tls-ca, --tls-cert and --tls-key take the same certificates the Go worker reads from the [grpc.worker] section of security.toml, and must be given together: a CA on its own would quietly mean one-way TLS, which a mutual setup rejects anyway. Without them the stream stays plaintext, which is what the Go worker also does when nothing is configured. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance: answer null properties rather than an empty map The catalog does not keep a table's properties. Declare echoed the request's back and describe answered {}, both of which claim they were stored and are empty. Null says the catalog does not keep them, which is what the spec distinguishes and what is true here. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance worker: test the slot accounting The heartbeat reporting and the waiting are the two things the semaphores are for, and neither is observable from outside without catching a sweep mid-flight. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: fix the mixed-format catalog test, and name the binary it drives The integration suite passed locally and failed in CI on TestLanceRefusesIcebergTables. Both were right: CI builds the binary first, my tree had one from the day before, so locally the test drove a gateway with no format enforcement at all. The test itself no longer holds as written. It made a bucket, put an Iceberg table in it, and checked the Lance surface hid it - but a bucket that declares LANCE now refuses the Iceberg table outright. The invariant still matters from the other side, so it starts from an Iceberg bucket instead: Lance must not describe or list a table whose format it does not serve, and must refuse to declare one beside it. The harness now prints which weed binary it is about to run and when that was built. `make test` rebuilds first; a plain `go test` will happily drive a weeks-old binary and report a pass for code it never ran, which is exactly what happened here. Also make the row-limit conversion in the preview request explicitly bounded: CodeQL flagged the int-to-int32 conversion, and clamping by reassignment beforehand is not a form it recognises. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * lance: prove concurrent commits are kept, and preselect the only format on offer Two more from review. The commit test asserted that exactly one writer wins the conditional PUT, which is the mechanism, not the claim. The claim is that nothing is lost: the losers see the conflict, rebase and commit again. So there is now a test that has eight writers append to one dataset at once and counts the rows afterwards - all eight batches survive. That is also the sequence managed versioning could not finish, since its store refuses the second commit outright. And when Iceberg's endpoint is not running, the format picker offered two options with neither selected, so Create Bucket submitted no format at all, fell back to ICEBERG, and was refused by the guard added last round. Lance is preselected when it is the only format this cluster serves. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * Clamp the remaining worker settings, and bootstrap buckets in a served format Compaction and index optimization read their thresholds and cast straight to usize and u64, so a negative arrives as an enormous number and turns the threshold into "never": compaction and reindexing both go quiet with nothing to say. The cleanup job was fixed last round; these are the same bug. Clamped to the values that stay meaningful rather than to what the form offers - zero uncovered rows is a real setting, meaning reindex as soon as anything is not covered, so the floor there is zero and not the form's thousand. mini pre-creates the buckets named by -tableBucket, and did so without a format, which now means Iceberg. Started with the Iceberg endpoint off and the Lance one on, that left buckets nothing could reach and which refused every Lance table. It takes the format from the endpoint that is actually running, and creates nothing when neither is. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * s3: allow-unordered is a listing parameter, not an unimplemented subresource The guard that stops a bucket GET with an unknown subresource from being answered with a listing does not know about allow-unordered, so it answers 501 NotImplemented - to a parameter the listing handlers already read and already validate against delimiter. This is why test_bucket_list_unordered and test_bucket_listv2_unordered fail in the Ceph s3-tests suite. They fail on master too; this is not a Lance change and can be taken on its own. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm |
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Chris Lu
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358fd314ea |
test(s3/versioning): read the whole version body instead of one Read (#10815)
A single Read on the response body can return the last bytes together with io.EOF, so asserting NoError on it fails even though the body is complete. Use io.ReadAll, like every other test in this package. |
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Lars Lehtonen
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ed75a61fb0 | fix(test/s3/versioning): dropped test error (#10813) | ||
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Chris Lu
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1bcd55eba2 | go 1.26 (#10797) | ||
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Chris Lu
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7c87d78ea2 |
s3: a key deleted after enabling versioning must leave the listing (#10684)
* s3: a null object wins over a rescan when the latest-version pointer is absent The read path already resolves an absent pointer this way; the listing-path counterpart scanned .versions/ first and could surface an old version or delete marker over the current suspended-versioning null object. * s3: dedup a key against its .versions sibling in suspended buckets too A suspended bucket keeps its .versions directories, so a suspended-versioning null object and its .versions sibling emitted the same key twice. * s3: retract a null object from the listing when a delete marker shadows it Deleting a key whose null version predates versioning leaves the base-path entry in place and records the delete marker under <key>.versions. The listing appended the base-path entry and relied on the .versions sibling to replace it, but a delete-marker current version emitted nothing, so the deleted key stayed visible to ListObjects while GET and HEAD returned 404. * s3: keep a key's .versions sibling on the same page as the key When the page quota ran out between a base-path entry and its .versions directory, the page ended with the stale entry and the next page skipped the directory as a marker echo, so the replacement or retraction never happened. * s3: the null version is not latest when the .versions pointer names a newer one ListObjectVersions stamped IsLatest on every base-path null object, so a key deleted after enabling versioning reported IsLatest on both the delete marker and the null version. * s3: test listing after a pre-versioning null object is delete-marked * s3: find a key's earlier page entry by scan, not by adjacency A key such as k.bak sorts between k and k.versions, so the entry a .versions sibling replaces or retracts is not always the last one on the page. Scan back through the page for the key, and insert a late resolution in sorted position instead of at the end. * s3: settle trailing null objects by lookup when a page fills The quota can run out while keys still sit between a null object and its .versions sibling, and the sibling-adjacent page-boundary exception never fires for those. Track the trailing null objects whose sibling has not been ruled out and look each one up before declaring the page full; a retraction reopens the quota. * s3: do not resolve a .versions sibling its page has already moved past A page resuming from a marker inside the base key's extension region has already listed and settled the base null object on an earlier page, so resolving the .versions directory again re-emitted the key. * s3: test listing with keys between a null object and its .versions sibling * s3: pick the newer of the null object and the scanned versions Making the null object win outright whenever the pointer is absent misread multi-filer pointer lag: version files replicate ahead of the pointer, and a key overwritten or delete-marked after pre-versioning days would list its stale null again. The suspended-versioning write that legitimately makes the null current is also the newer entry, so mtime tells the two apart. * s3: a delete-marked null object no longer keeps its prefix alive The hidden-entries probe took any plain file as proof of a listable key, but a null object shadowed by its .versions sibling's delete marker is not one. Hold plain files pending until the sibling settles them either way. * s3: settle an evicted pending null instead of dropping it Nested keys like k, k!, k!! can hold more pending nulls than the cap. A silently evicted one could close the page unsettled, and the resume skip would then keep the stale entry for good. * s3: test deleted-prefix hiding and the pending-null cap * s3: cover the reported '!' intervening key with a live version * s3: an unstamped same-second version outranks the null object Second-resolution mtimes cannot order same-second writes, so the tie went to the stale null when the pointer lagged. The suspended write that makes a null current stamps the version it displaces before clearing the pointer, so the stamp is the authoritative signal and a tie without it goes to the version. * s3: a pointer-less versions listing still checks what replicated ListObjectVersions took a missing pointer as proof the null object is latest, but under pointer lag the sibling can already hold newer replicated versions or markers. Apply the same nullObjectWins rule as the listing recovery. * s3: a failed null-object settlement fails the listing Every getEntry error read as a missing sibling, so a transient filer error at a page boundary committed the unsettled null and the next page skipped its sibling for good. Only a definitive not-found means the null is live; other failures are retained on eviction and fail the request at page close. * s3: retract a CommonPrefix whose only backers were delete-marked nulls The directory probe settles this for the / delimiter, but any other delimiter derives prefixes from base-path keys directly, and a prefix built solely from null objects survived their delete markers. Count the unsettled null backers behind the newest prefix and retract it when the last one settles as a marker; a live resolution or any listable contributor confirms the prefix instead. * s3: test custom-delimiter prefix retraction * s3: an explicit signal marks the null object current, not the demotion stamp The NoncurrentSinceNs stamp survives promotion: delete the version that demoted another and the promoted one is current yet still stamped, so a lagging replica would resurrect the stale null. A suspended-versioning write now records Seaweed-X-Amz-Null-Version-Is-Latest on the .versions directory when it clears the pointer, every pointer update removes it, and the recovery paths trust the signal instead of the stamp. * s3: a filer failover retry rebuilds the listing page from scratch The failover wrapper reruns the callback on another filer after a transport error, and the partially built page, spent quota, and advanced marker leaked into the retry, which could then return a stale or duplicated page as success. * s3: only a prefix's own backers can debit it A delete marker for a version-only key (no base object) derived the same prefix as its neighbors and decremented backing it never contributed, retracting a prefix that a live null object still backed. Track backers by key so settlement is idempotent and only debits what was counted. * s3: test a version-only marker against a null-backed prefix * s3: a pointer recompute clears the null-current signal The routed finalize for delete markers, COPY, and multipart rewrites the .versions pointer through RECOMPUTE_LATEST, which left a suspended-era null-current signal in place. Version files never carry the signal, so mapping it in CopyExtended deletes it whenever the pointer recomputes. * s3: the pointer outranks the null-current signal in the versions listing The signal check guarded the pointer check, so a stale signal a recompute had not cleared yet would have let the null claim IsLatest alongside the pointed-at version. |
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Chris Lu
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2d9ea0285c |
s3: add the RenameObject endpoint (#10659)
* s3: add the RenameObject endpoint
PUT /{bucket}/{key}?renameObject with x-amz-rename-source moves an object
through the filer's AtomicRenameEntry, so no bytes are read or rewritten and
the ETag, tags and SSE keys travel with the entry.
Only unversioned buckets: a versioned rename would have to rebuild the
.versions chain, and AWS offers RenameObject on directory buckets, which
cannot be versioned. The source arrives in a header, so it is authorized
separately for read and delete; both keys are locked, in key order, across the
precondition checks and the move.
* s3: let a matched source ETag precondition settle its date precondition
RFC 7232 has an ETag precondition outrank the date precondition on its own
side, and AWS documents the same for CopyObject: a matching
x-amz-copy-source-if-match with a failing x-amz-copy-source-if-unmodified-since
copies rather than returning 412. The source check evaluated all four headers in
sequence, so the date header could still veto a decided ETag match.
validateConditionalHeadersForReads already applies this precedence; the source
path now matches it.
* s3: cover a rename source named as a directory without a trailing slash
Renaming a directory would move a whole subtree, so it has to stay a missing
key whether or not the caller wrote the trailing slash.
* s3: accept a bare object key as the RenameObject source
AWS spells x-amz-rename-source both ways. Its CLI, Java and Rust examples pass
the bare source key, and only a second CLI example and the boto3 conditional
example pass bucket/key; the API reference's own example is a bare key too. The
header was read as bucket/key only, so the form AWS leads with was rejected with
InvalidArgument and the endpoint was unusable as documented.
A value is now read as a literal key first — the only reading that can never
name the wrong object — and as bucket-qualified second, when it carries the
request's own bucket and the literal key does not exist. That costs one extra
lookup only for a source that starts with the bucket's own name.
Another bucket's name in the source is no longer a distinct error: RenameObject
moves within one bucket, so it is simply part of a key this bucket does not
hold, and it reports NoSuchKey.
* s3: only a proven absence picks the other reading of a rename source
A source that resolves to a directory is not a miss to fall through on: the
literal path is still what the caller named, so answering for it beats renaming
a different object under the bucket-qualified reading. With a directory at
bucket/source.txt and an object at source.txt, a rename naming the former moved
the latter.
A failed lookup is not a proof of absence either, so a blip can no longer
redirect a rename to the other reading.
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Chris Lu
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a5e8254ffd |
s3: give a versioned metadata-only copy its own chunks (#10594)
* s3: give a versioned metadata-only copy its own chunks A self-copy that only rewrites metadata clones the source entry, chunk fids and all, and writes the clone back. With no versioning that is exactly right: the clone replaces the entry it came from, so one entry owns the needles the whole time. Under versioning the clone lands in a new .versions/ file and the source stays live, and nothing refcounts a plain shared chunk list -- deleting either version (a NoncurrentVersionExpiration rule, say) frees needles the other still points at, and the next vacuum makes that permanent. rclone hits this on every upload, since it stamps mtime with exactly this copy. Take the metadata-only path only where the write replaces the entry it read: the bare key of a bucket without versioning. Versioned, suspended, and versionId-pinned copies fall through to the regular copy path, which gives the destination its own chunks. * s3: reencrypt a versioned SSE-KMS key rotation instead of reusing the chunks A same-object copy that changes the KMS key id hands the source chunks straight back, on the assumption that the copy overwrites the entry they came from. A versioned bucket writes a new version beside the source instead, so the two end up sharing needles that nothing refcounts, and deleting either one frees the other's data. Reuse the chunks only when the destination really is the source entry; otherwise fall through to the reencrypt path, which also gives the new version the key it asked for rather than leaving it on the old one. * s3: make one predicate decide whether a copy replaces its source The metadata-only branch and the key-rotation strategy both answer the same question -- does this copy write back to the entry it read -- so let them share one predicate instead of pairing a same-destination check with it separately at each site. * test(s3): fail the copy regression tests when the vacuum does not run The helper swallowed a failed or non-200 request to the master, so a vacuum that never ran turned both chunk-ownership assertions into no-ops: the tombstoned needles were still readable and the surviving version looked fine either way. Require the endpoint, the request, and a 200. * ci(s3): run every versioning test in the regression gate The gate named the tests it wanted, so a new regression test sat there uncovered until someone remembered this file -- it fooled me into thinking two tests added in this PR never ran anywhere, when the comprehensive job had them all along. Invert it: run everything, and name a test only to keep it out. The delete job beside this one already works that way, and the suite costs about two minutes. Only the pagination stress tests are excluded; they build 1500+ versions, skip themselves without ENABLE_STRESS_TESTS, and have their own make target. Go's regexp has no negation, so the pattern is still assembled from a listing, the way the volume-server integration workflow does it. Note the trailing $$: make eats a lone trailing $ and takes the anchor with it. |
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Chris Lu
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c2b47967bd |
s3: retire the suspended null marker only once the PUT has committed (#10589)
The suspended PUT dropped the null delete marker before writing, so a failed write left the .versions pointer naming a marker that was gone. The read path heals a dangling pointer by promoting the newest survivor, so a key the caller had deleted came back serving an older version, and the heal persisted that pointer. Move the retire into afterCreate via the shared finalize, which also brings the ownership check the copy and multipart paths already have. |
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Chris Lu
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f09bc14165 |
s3: report the effective ownership when a bucket has none stored (#10591)
* s3: report the effective ownership when a bucket has none stored GetBucketOwnershipControls read Seaweed-X-Amz-Ownership straight out of the bucket entry, so a bucket that never had one written reported an empty ObjectOwnership. The object write path defaults the same missing attribute to BucketOwnerEnforced, so the API contradicted the behavior it describes. Resolve the stored value through one helper both readers share, and let PutBucketOwnershipControls persist unconditionally so setting the default value still gives DeleteBucketOwnershipControls something to remove. * test: cover the bucket ownership controls round trip Pins the behaviors the ownership default fix depends on: a bucket that never had ownership controls written reports BucketOwnerEnforced, and putting that same value on such a bucket still persists it, so the delete that follows has something to remove. The put-then-delete case gets its own bucket -- run after an ObjectWriter put, it would pass against an implementation that skips only the initial write. The acl workflow already runs this package against a live weed mini, so it needs no wiring. |
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Chris Lu
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5269d93fa8 |
s3: let a suspended-versioning multipart completion replace the null delete marker (#10585)
* s3: let a suspended-versioning multipart completion replace the null delete marker In a versioning-suspended bucket a DELETE writes a null delete marker into the key's .versions directory. CompleteMultipartUpload then writes the new null version at the regular path but left that marker in place, so the completion returned 200 and the object listed while HEAD and GET kept resolving the marker and answered NoSuchKey. PutObject already handles this; do the same on the multipart path. * s3: order the suspended-versioning null cleanup behind the multipart write Removing the null delete marker before writing left a failed completion having already published the key's newest real version: the marker was gone, the pointer still named it, so reads rescanned .versions and promoted the older version. Do both fixups only once the write commits, pointer first so reads never see a pointer aimed at a marker that is no longer there, and fail the completion when the pointer cannot be cleared instead of returning 200 for an object HEAD and GET still miss - a non-ErrNone finalize keeps the upload directory, so the caller's retry replays it. Also cover a pre-suspension real version in the regression test. * s3: skip the suspended null cleanup when a concurrent write won the key The completion's .versions fixups are unconditional rewrites of shared state and the routed path runs off the object write lock, so a DELETE landing between the multipart write and the cleanup had its own null delete marker erased - leaving a successfully deleted key readable as an older retained version. Re-read the object first and leave the cleanup alone unless it is still the one we wrote. This narrows the window rather than closing it; a compare-and-set pointer flip is the real answer and wants its own change. * s3: re-read the completed object from the filer that took the write The guard compared the object against our upload id through the routed read, which skips an owner it recently found unreachable and falls back local-first. A write that just landed on the owner could then read as superseded on another filer, skipping the cleanup and leaving the key unreadable - the bug this set out to fix. Read back from the filer the write went to instead. * s3: trim the suspended-completion comments to the non-obvious why * s3: lift the suspended null-write finalize into a named helper The pointer-then-marker ordering is policy shared by every suspended null write, not something the multipart path should be stating on its own; putSuspendedVersioningObject and the copy path each restate it today. Give it a home next to the versioned finalize helpers, and reuse the canonical key normalizer and the existing test helpers rather than open-coding both. * s3: retire the null delete marker on a suspended-versioning copy The suspended CopyObject branch cleared the .versions latest pointer but left the null delete marker a preceding DELETE wrote. While the regular-path object owns the null slot that marker is shadowed, so it reads and lists correctly - but it resurfaces as a phantom delete for a key nobody deleted once that null version goes away. Route the branch through the shared finalize. * s3: keep the suspended null cleanup from erasing a concurrent delete Retiring the marker on the copy path reopened the race the multipart path had already closed: a DELETE landing between the write and the cleanup lost its own marker, so a rescan promoted an older version under a deleted key. Move the ownership check into the shared finalize, keyed on the attribute that identifies the caller's write, so both paths get it. |
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Chris Lu
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7063b3e14c |
s3 lifecycle: bound the daily-replay pass so a quiet cluster stops wedging the job (#10578)
* s3 lifecycle: bound the daily-replay subscription at the pass boundary A pass opens one meta-log subscription and 16 shard drains, then waits on all of them. Nothing told the subscription where the pass ends, so the only exit was the fan-out spotting an event past runNow — i.e. some unrelated write landing under /buckets after the pass started. On a cluster that goes quiet the reader parks in Recv, every shard drain starves on an empty channel, and Run never returns. The job sits at stage "starting" with the executor slot held and no log line, so expiry stops cluster-wide until someone restarts the worker. The pass covers (globalStartTsNs, runNow], so say that: UntilNs on the subscribe request makes the filer end the stream once it has shipped that range. The reader then closes the event channel on the way out, which is what unblocks the fan-out and the drains when the stream finishes on its own rather than by cancellation. Same fix retires the other silent hang: a reader that failed early (subscribe error, stream error) also left every drain waiting forever. * s3 lifecycle: keep a halted shard from starving the shared fan-out A drain that halts mid-stream (BLOCKED / RETRY_LATER / an RPC error on dispatch) returns while the fan-out is still routing that shard's events. After 256 of them the per-shard buffer is full and the fan-out blocks on the send, so no other shard sees another event. Run's WaitGroup never drains, and the teardown that would cancel the reader sits behind that wait — the pass wedges exactly like an idle subscription did, with one S3 hiccup as the trigger. Keep discarding the channel after runShard returns. The events are past this shard's saved cursor and get re-scanned next pass anyway. * s3 lifecycle: assert the starved shard actually made progress The fan-out test only checked that Run returned, which a version that quietly dropped the second shard's events would also satisfy. Assert the dispatch landed and the cursor moved. recordingClient gains a per-object outcome map: the two shards dispatch from separate goroutines, so pinning BLOCKED by call index was a race waiting to pick the wrong shard. * s3 lifecycle: fail the pass when the shared subscription dies Closing the event channel on reader exit is what unblocks the shard drains, but it also means a subscribe that never opened, or a stream that broke mid-pass, now ends every drain cleanly. Run logged that at V(2) and returned the shard result — so a filer failure produced a green lifecycle job that had processed nothing. Surface it as the pass error. Cursors still hold what was processed and tomorrow resumes there; what changes is that the job stops claiming success. Cancellation has to stay a non-error — the shell driver's -runtime cap is a truncated pass, not a failed one — and a canceled gRPC stream arrives as a status code, not a wrapped context.Canceled, so isCanceled checks both forms the way the rest of the tree does. * s3 lifecycle: decide reader cancellation by intent, not status code A stream we cancel and a stream the filer cancels both arrive as codes.Canceled, so classifying the reader's exit by its error let a truncated pass report success whenever the failure happened to carry a cancellation status. Intent is knowable exactly, so read that instead: the pass stops on purpose only when the caller's context ended (the shell driver's -runtime cap) or the fan-out hit the pass boundary itself. Everything else is a broken subscription and fails the pass. TestRun_ServerSideCancelFailsThePass and TestRun_CappedPassIsNotAFailure are the same codes.Canceled from the reader with opposite verdicts — the pair only passes because the decision no longer looks at the error. * s3 lifecycle: time out a subscription that stops delivering UntilNs ends a healthy stream and gRPC keepalive catches a dead connection, but neither reaches a filer that keeps answering pings while its handler has stopped producing. The pass would wait on that forever, since s3_lifecycle is the one job type with no execution timeout. Bound the wait for each response at 20 minutes, and opt into the filer's idle heartbeats so a caught-up stream proves liveness instead of looking stalled. The default sits above the filer's 15-minute metadata-gap recovery budget, so a subscriber legitimately parked on a gap is never mistaken for a stalled one. Recv is only interruptible by killing the RPC, so it moves to its own goroutine behind a per-response deadline. The timer covers only the wait on the filer — dispatch to Events happens outside it, so a slow consumer can't trip the watchdog. Approach and the 20-minute figure are from #10577 by way of comparing the two fixes; the wiring differs because the reader here ends the pass by closing its event channel rather than cancelling the fan-out. * s3 lifecycle: trim the comments added by this branch Keep the non-obvious why, drop the prose restating what the code says. * s3 lifecycle: snapshot reader intent where the reader stops Sampling ctx.Err() during teardown reads it after the drains and cursor saves have run. A reader that failed while the deadline was still live, on a pass whose teardown then outlives that deadline, was classified as an intentional stop and reported success. Sampling earlier in Run is not the fix either: before the shard wait, a legitimately capped pass has not reached its deadline yet and would be misclassified the other way. Intent belongs where the reader actually stops, so the reader goroutine records it next to the error it returns. Reported by greptile on #10578. * s3 lifecycle: cover the worker-dispatched pass with nothing due The e2e suite drives the shell command in 14 of 15 files; the one test on the real admin->worker path backdates an object, so its own delete pushes a meta-log event past the pass boundary and ends the pass. The branch where a pass has nothing to dispatch was never exercised through the worker. Cover it, asserting the pass returns on its own: no admin cancellation, and the executor slot free for the next one. This is not a regression test for the wedge. A pass used to end when any write landed past its boundary, and on a shared test cluster something usually does — the whole suite passes on the unfixed build, verified. The deterministic guards stay the dailyrun unit tests; this one would catch a pass that hangs unconditionally. |
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Chris Lu
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7d6c83b126 |
s3: stop treating a directory marker as a versioned object (#10573)
* s3: delete a directory marker instead of versioning it The key "dir/" is stored as the filer directory itself, so a delete marker cannot stand in for it without hiding the children underneath, and its history has to sit inside the directory it describes, where listings keep meeting it. Delete it the way an unversioned bucket already does: remove the directory when nothing is left under it, demote it to a plain directory when children remain, and drop a history an older build recorded for it. * s3: stop resolving directory markers through a version history Nothing records one for them any more, so the lookups that read it are dead weight - and the one in the listing was a filer round trip per directory marker returned, which for a bucket that keeps a marker per directory is the whole listing cost. A listing reads what a directory stands for straight off the entry it already has; a unit test pins that N markers cost one ListEntries rather than N+1. The guard that keeps a history left inside a directory by an older build from surfacing as a key named after it stays. * s3: do not let deleting "dir/" destroy the object at "dir" Writing under an existing object turns that object's entry into a directory while it keeps its data, so the keys "m2" and "m2/" end up sharing one entry. Stripping the entry to delete "m2/" therefore wiped the object at "m2" - a different key, and in a versioned bucket one no delete marker records. Leave a directory holding uploaded data alone; "m2/" does not name it. * s3: make the directory-marker delete fail closed and take the write lock The guard that spares a promoted file only fired when the entry read succeeded, so a transient filer error fell through to the delete and could destroy the object at "dir" anyway. Fail the request instead, take the object write lock so the entry cannot change between the check and the delete, and report a stale history that cannot be removed rather than leaving it to keep naming the key in ListObjectVersions. * s3: check If-Match inside the directory-marker delete lock The lock belongs to the caller: taking it inside the delete nested it under the batch handler's own lock, and since every lock from a gateway shares one owner the inner release would have freed it while the outer caller still assumed it held it. Both callers now own the lock, the single-object path re-checks If-Match inside it the way the other delete paths do, and a batch delete of a trailing-slash key in an unversioned bucket goes through the same marker path instead of the raw delete. A history lookup that fails now fails the delete. |
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Chris Lu
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474a0713b0 |
s3: honor the version history of a directory marker (#10571)
* s3: stop listing a directory marker whose latest version is a delete marker A directory marker is stored as the filer directory itself, so deleting the key "dir/" writes its delete marker into dir/.versions while the directory keeps its mime and stays a key object. Every listing kept reporting the key. Consult that history before treating the entry as a key, and demote it in memory when it is delete-marked so live children still hold the prefix. Also skip the container's own .versions entry while listing inside it: the suffix match read it as the history of a nested object named "", which surfaces as a phantom dir/dir key as soon as a live directory version exists. * s3: a directory marker with version history is not also the latest null version The directory entry behind the key "dir/" is that key's null version, but list-object-versions reported it with IsLatest hardcoded true. After a delete the key came back twice, once as the delete marker and once as a null version, both claiming to be latest. Read the pointer under the directory instead. * s3: resolve directory markers through their version history on GET and HEAD GET and HEAD short-circuit any trailing-slash key straight to the filer directory, so a directory marker kept answering 200 after its delete marker was written. Resolve the key from dir/.versions first when the bucket is versioned: a delete-marked current version answers 404 with x-amz-delete-marker, a named delete-marker version answers 405, and a key with no history keeps today's directory-probe behavior untouched. * s3: re-creating a directory marker retires its delete marker PutObject on a trailing-slash key never looked at the bucket's versioning state, so re-creating a marker after a delete left the latest-version pointer on the delete marker and the key stayed invisible to every versioned read. Point the key back at the directory entry, which is its null version, and drop the null version .versions may still hold — the same two steps a suspended write already takes, now shared. * s3: fail a directory-marker request whose version history cannot be read Every lookup of dir/.versions treated any error as "no history", so a filer hiccup served the directory entry for a key whose current version may be a delete marker, reported a null version as latest over one, and let a PUT report success without retiring the delete marker it was meant to retire. Only a confirmed absence takes the no-history path now. * s3: cancel the directory-marker probe stream instead of abandoning it The probe answers off the first entry and returns, leaving the ListEntries stream open for the life of the parent context. Give it a context of its own. |
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Chris Lu
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82c67b5896 |
test: cover listings spanning a run of retracted keys (#10517)
* test: cover listings spanning a run of retracted keys A listing drops entries whose current version is a delete marker. When a run of consecutive entries drops out, the page being filled can come back empty, and an empty page is easily mistaken for the end of the listing — everything after the run then never appears and the caller is told those objects do not exist. Backup repositories produce exactly this shape: a batch of keys under one prefix is retracted while writing continues under the next. Covers a retracted run before live keys and between live keys, walked with page sizes smaller than the run so at least one page is filled entirely from entries that get dropped, plus the version view of the same namespace where every version and every delete marker must still be reported. * test: sweep every page size in both walks and paginate the version listing |
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Chris Lu
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d8d29c4ede |
s3: carry storage class in the cached listing metadata (#10516)
A listing on a versioned bucket is served from metadata cached on the .versions directory entry so the whole listing is a single scan. The cache carried size, mtime, ETag, owner and the delete-marker flag but not the storage class, so newListEntry found none and fell back to STANDARD. The result was that HEAD and the listings disagreed about the same object: HEAD reported the class the object was stored with, while ListObjectsV2 and ListObjectVersions reported STANDARD for every object. Clients that filter or tier on storage class act on the listing. Caches the class alongside the other listing fields, clears it with them, and copies it in the routed RECOMPUTE_LATEST path so both finalize paths agree. |
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Chris Lu
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910fa1ff37 |
test: compare ListObjects and ListObjectVersions over the same namespace (#10515)
* test: compare ListObjects and ListObjectVersions over the same namespace The two listings walk the same tree through separate code paths, so a client navigating by versioned listings can see a different namespace than one navigating by plain listings, and concludes keys are missing that are plainly there. Testing each path on its own never catches that; only comparing them does, and nothing compared them. Asserts both report identical current keys and identical common prefixes across a backup-shaped tree: nested prefixes, a prefix naming an object exactly, a key that is simultaneously an object and the parent of other keys, a partial key fragment, and a prefix matching nothing. The version view is reduced to what a plain listing reports — latest versions that are not delete markers — so the comparison is like for like. * test: guard against truncated pages and cover the delete-marker path |
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Chris Lu
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fce4da5c9c |
test: pin verb parity on lock-arbitration keys through acquire and release (#10514)
* test: pin verb parity on lock-arbitration keys through acquire and release Backup clients arbitrate repository ownership by writing and retracting small keys under a fixed prefix and re-probing them, each probe using a different verb. They trust those verbs to agree; a key reported present by one and absent by another makes the client either spin or declare the repository corrupt, and neither shows up as an error on the storage side because each individual answer is locally correct. The keys are written and immediately deleted by version id, which is the cycle that empties a version container, so parity is asserted on both sides of the delete and across repeated re-acquire cycles where residue accumulates. Reports which verbs disagreed rather than just failing. * test: run the reacquire cycle on every lock key, and drain probe bodies |
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Chris Lu
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33a974b4c5 |
test: pin that an unusable version id is refused, never resolved (#10513)
* test: pin that an unusable version id is refused, never resolved A version id containing a path separator, or "." / "..", can never name a stored version. Resolving one to the null or latest version instead would let a caller destroy a live version by asking for one that does not exist, on a bucket configured for immutability. The guard exists today and holds on every verb; it had no test. Pins two properties: such a request is refused with a client error rather than a 5xx (a 5xx invites endless retries of something that can never succeed), and the version that does exist survives every refused request. * test: require exactly 400 for an unusable version id |
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Chris Lu
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2961448a36 |
test: cover delete idempotency on versioned object-locked buckets (#10512)
* test: cover delete idempotency on versioned object-locked buckets Backup clients probe and retract lock keys continuously, so they routinely delete keys and versions that are already gone, and they batch those deletes alongside keys that do exist. S3 makes all of that succeed; returning an error turns ordinary lock arbitration into a job failure. The behaviour is correct today but had no coverage, and it runs through the object-lock retention check, which is the most likely place for a missing object to start being reported as an error. Covers: deleting a key that never existed, deleting a well-formed version id that names nothing (twice, and without disturbing the version that does exist), and a batch whose middle key is missing — every requested key must come back under its own name rather than silently taking another row's slot. * test: verify the deletes actually took effect, not just that they returned |
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Chris Lu
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63d5140485 |
s3: allow copying an object onto itself in a versioned bucket (#10497)
* s3: allow copying an object onto itself in a versioned bucket The copy writes a new version instead of overwriting in place, which is how an earlier version is restored. Buckets with versioning off or suspended keep rejecting a self-copy that changes nothing. * s3: cover the suspended-versioning self-copy rejection Suspended versioning overwrites the null version in place, so a self-copy that changes nothing stays rejected. Pin that alongside the never-versioned case. |
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Chris Lu
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e7a678fa72 |
s3: keep the list marker exclusive for versioned objects (#10496)
* s3: keep the list marker exclusive for versioned objects A versioned object lives in a "<key>.versions" directory, so the entry name never matched the marker and start-after/marker returned the marker key itself. * s3: match the list marker against the raw entry name too A backend that echoes the marker it was given returns the ".versions" directory name, which no longer matched once the comparison used the object name alone. Cover both, and unit test each half. |
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Chris Lu
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62c4333074 |
s3: list the buckets an attached IAM policy grants (#10458)
* s3: list the buckets an attached IAM policy grants ListBuckets served an identity authorized by an attached IAM policy only the buckets it had created itself. A user granted s3:ListBucket on a bucket someone else provisioned could GetObject and ListObjectsV2 against it, but the bucket never showed up in the listing any S3 client uses to build its bucket picker. The owner-index fast path is only valid for an identity whose grants name every bucket it can reach, and the routing check assumed a policy could never be enumerated. Read the names out of the policy instead: statements that allow s3:ListBucket on a concrete bucket ARN become candidates, and the per-bucket permission re-check still decides what is listed. A policy that can reach a bucket it does not name -- a wildcard resource, a policy variable, a NotResource, an STS session policy -- falls back to the full scan, which evaluates the policy per bucket. * s3: share the attached policy name lookup authorizeWithIAM and the ListBuckets enumeration both built an identity's policy names the same way, its own plus the ones from its enabled groups. Pull that into one helper so group eligibility is decided in a single place. * s3: read policy actions the way the IAM authorizer matches them The IAM authorizer matches action names case-insensitively, so a policy granting "S3:LISTBUCKET" or "S3:*" authorizes a list. The ListBuckets classifier read those actions with the local case-sensitive matcher and found no grant, so once the owner index was ready the buckets that policy allows dropped out of the listing. Match the action the looser way in the classifier: case-insensitive, and true for any pattern holding a policy variable. Over-matching only costs a candidate the per-bucket permission check then rejects, while under-matching hides a bucket the caller can read. * s3: infer a multipart grant in any case The classifier matches action patterns case-insensitively but looked the requested action up in a canonical-cased set, so "S3:UPLOADPART" missed the s3:PutObject inference that the authorizer makes. Key the set for lookup in lower case, matching how the IAM authorizer holds it. |
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Chris Lu
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c392f45705 |
s3: stop listing prefixes whose objects are all delete-marked (#10419)
Deleting the only object under a prefix in a versioned bucket writes a delete marker and keeps the version history, so the filer directory survives with nothing a current-version listing would return. A delimited ListObjects kept reporting that path in CommonPrefixes, because the prefixes come from the directory tree rather than from the keys, while a listing scoped inside the prefix correctly came back empty. Probe a directory before reporting it: one that holds entries but no key the listing returns is neither a CommonPrefix nor a path the trailing-slash probe answers for. Empty directories keep the meaning they have today, and the probe only runs for buckets with versioning configured, the only ones that can reach this state. |
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Chris Lu
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2e9b944e5c |
test(s3): aim collection force-delete at the master the suite actually runs (#10404)
The copying and tagging tests force-drop each bucket's collection at the master so volume slots are freed deterministically between tests. But the copy-tests CI job runs its master on 9336 and the tagging Makefile on 9338, while the tests default to 9333 — the cleanup dialed a dead port and quietly no-oped. Each test bucket then grows 7 volumes against -volume.max=100, and whenever async deletion lagged the data node ran out of slots and PutObject 500ed with "No writable volumes and no free volumes left". Set MASTER_ENDPOINT where the master port is non-default: the copy-tests workflow step, and the copying/tagging Makefiles (derived from MASTER_PORT). |
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Yaroslav HalchenkoandClaude Code 2.1.217 / Claude Opus 4.7
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490379bff3 |
Add codespell support with configuration and typo fixes (#10393)
* Add GitHub Actions workflow for codespell on master * Add rudimentary codespell config * Tune codespell config: skip generated code, ignore camelCase, whitelist domain terms Add camelCase/PascalCase regex to ignore common Go/Rust/JS identifiers like allLocations, publishErr, ReadInside, FlushInterval. Also skip templ-generated *_templ.go files, and whitelist a handful of short/domain-specific words (visibles, fo, te, ser, bject, unparseable, keep-alives, tread, anc, ue) that show up as false positives across the tree. Co-Authored-By: Claude Code 2.1.217 / Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Fix ambiguous typos and protect false positives Fixes typos that codespell reports with multiple candidate suggestions (so `codespell -w` cannot auto-apply them), plus one inline pragma and one config entry to protect legitimate identifiers. Manual fixes (single correct answer chosen from context): - pattens -> patterns (5x) in filer/upload/shell flag help strings - finded -> found (2x) in tarantool storage.lua comment - spacify -> specify (2x) in helm chart values.yaml comment - wether -> whether in skiplist.go docstring - simpe -> simple in mq schema test case name False-positive protection: - Add `//codespell:ignore` next to `source GET's` (possessive of HTTP verb) in s3api_object_handlers_copy_stream.go - Whitelist `auther` in .codespellrc — it's a local variable meaning "authenticator" in weed/security/tls.go, not a typo of "author". Co-Authored-By: Claude Code 2.1.217 / Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Extend codespell ignore list: .git-meta path and thirdparty groupId Also skip `.git-meta` (scratch dir for commit messages that may contain typo words verbatim) and whitelist `thirdparty` — it appears as the literal Maven groupId `org.apache.hadoop.thirdparty` in hdfs3 poms and cannot be renamed. Co-Authored-By: Claude Code 2.1.217 / Claude Opus 4.7 (1M context) <noreply@anthropic.com> * [DATALAD RUNCMD] Fix non-ambiguous typos with codespell -w Auto-applied fixes to the 44 remaining single-suggestion typos across docs, comments, log messages, tests, config, and one Java pom. === Do not change lines below === { "chain": [], "cmd": "uvx codespell -w", "exit": 0, "extra_inputs": [], "inputs": [], "outputs": [], "pwd": "." } ^^^ Do not change lines above ^^^ * Revert breaking codespell fixes; whitelist unknwon and atleast Two of the auto-applied `codespell -w` fixes were false positives that would break the build/tests: - go.mod: `github.com/unknwon/goconfig` is a real Go module path — the upstream author's GitHub handle is literally `unknwon`. Renaming to `unknown` would fail dependency resolution. - test/benchmark/fuse_db/bin/{sqlite_verify.py,run_mysql.sh,run_sqlite.sh}: `atleast` is a literal CLI mode value (a string constant compared and passed as a positional argument). Rewriting to `at least` splits it into two arguments and breaks the mode check. Reverted those files and whitelisted both words in .codespellrc so future runs won't re-suggest the same broken fixes. Co-Authored-By: Claude Code 2.1.217 / Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Code 2.1.217 / Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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Chris Lu
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17af32f3ff |
s3: paginate ListBuckets and serve it from a bucket owner index (#10214)
* s3: paginate ListBuckets with max-buckets, continuation-token, and prefix ListBuckets buffered every bucket entry into one slice and one XML body, which falls over with very large bucket counts. Page through the filer listing instead, cap each response at 10000 buckets like AWS, and honor max-buckets, prefix, and an opaque keyset continuation-token. * s3: maintain a bucket owner index under /buckets/.system/owners Map each bucket owner to its buckets as zero-length entries at /buckets/.system/owners/<owner>/<bucket>, with Crtime mirroring the bucket's creation time. The bucket handlers write the index synchronously, the /buckets metadata subscription reconciles changes made elsewhere (weed shell, other gateways, direct filer operations), and a startup backfill indexes pre-existing buckets before writing a ready marker. Owner names are path-escaped so no identity name can escape the index directory. * s3: serve ListBuckets from the bucket owner index Once the owner index is ready, non-admin identities list their owned buckets straight from it, merged with any buckets their legacy actions name explicitly, so ListBuckets costs O(own buckets) instead of a scan of the global /buckets directory. Admins, identities with a bare List grant or wildcard action patterns, and policy-authorized identities whose grants cannot be enumerated keep the paged scan; policy-routed identities get their owned buckets, matching AWS ListBuckets returning only the caller's buckets. * s3: keep dot-prefixed names under /buckets out of bucket surfaces Dot-prefixed entries (.system) can never be valid bucket names, so refuse to resolve them as buckets and skip them in the shell bucket listing, matching what ListBuckets and the admin UI already do. * test: cover ListBuckets pagination and the owner index end to end * s3: fail closed on a nil identity when routing ListBuckets * s3: decide the IAM authorization mechanism in one place VerifyActionPermission and the ListBuckets owner-index routing each re-derived the session-token / attached-policy / legacy-actions split; extract the decision so the two cannot drift. * s3: heal the owner index on concurrent bucket recreation too The mkdir-lost-the-race path answers BucketAlreadyOwnedByYou just like the up-front existence check, so give it the same index repair. * s3: drop owner-index records for buckets deleted during backfill A bucket removed between the backfill reading its page and writing the index record became a permanent phantom in its owner's listing: the delete's own cleanup ran before the record existed. After indexing each page, re-list the same name range and remove records whose bucket is gone; deletes landing after the re-list find the record and remove it themselves. * s3: add ContinuationToken and Prefix to the ListBuckets schema Keep AmazonS3.xsd aligned with the generated ListAllMyBucketsResult so a regeneration does not drop the pagination fields. |
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Chris Lu
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a88acaf061 |
Add performance CI (profiling, throughput, S3 read/write) (#10105)
* test: add self-contained S3 read/write load tool Concurrent PUT/GET against the S3 gateway, reporting requests/sec, transfer rate, and latency percentiles. Built on the aws-sdk-go-v2 client the S3 tests already use, so no extra benchmark binary is needed. * ci: add performance workflow Three parallel jobs: cpu/heap pprof of the server under write load, native throughput via weed benchmark plus the Go micro-benchmarks, and an S3 read/write benchmark against the gateway. Runs on push to master and manual dispatch with tunable duration, object count, size, and concurrency. |
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44d575100a |
fix(s3api): preserve requested AES256 copy encryption (#10049)
* fix(s3api): preserve requested AES256 copy encryption Problem CopyObject metadata processing ignored an explicit x-amz-server-side-encryption: AES256 request header. A destination copy could lose the requested SSE-S3 metadata even though KMS requests were handled. Root cause processMetadataBytes only wrote the destination SSE header when the requested algorithm was aws:kms. Any other explicit SSE algorithm fell through to the source-preservation branch. Fix Write the requested SSE algorithm whenever x-amz-server-side-encryption is present, and keep KMS-specific metadata handling limited to aws:kms. Co-authored-by: Codex <noreply@openai.com> * fix(s3api): reject unsupported copy encryption algorithms A mistyped or unsupported x-amz-server-side-encryption value on a copy request slipped past validation and got persisted as the destination's algorithm header, advertising encryption that was never applied. Reject anything other than AES256 or aws:kms up front. * fix(s3api): write SSE key metadata for empty encrypted copies A zero-byte source copied with an explicit SSE request took the no-content branch and never ran the encryption path, leaving the object with a bare algorithm header but no key. HEAD then advertised SSE while the encryption-state machine saw the header as orphaned. Run the inline encryption path when the destination requests encryption so the key metadata is written too. * s3api: use SSEAlgorithmKMS constant in copy metadata handling * test(s3api): cover source SSE preservation on copy * test(iam): allow the local client's real source IP in SourceIp tests The aws:SourceIp allow policies hardcoded the loopback CIDRs, but a CI runner reaching the server over localhost can be observed with one of the host's RFC1918 addresses (the S3 endpoint is advertised on a 10.x interface), so the positive-condition PutObject was denied and the allow assertion flaked while the deny path passed trivially. Broaden the allow list to loopback plus private ranges via a shared helper, and log the denial on each failed attempt so any residual failure is diagnosable. --------- Co-authored-by: Codex <noreply@openai.com> Co-authored-by: Chris Lu <chris.lu@gmail.com> |
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Chris Lu
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561768a426 |
[s3]: preserve multipart copy checksums (#9948)
* s3: preserve checksums for copied multipart parts * s3: return checksums from multipart copy * s3: pin the upload's checksum algorithm on copy-part re-stream * s3: note why UploadPartCopy uses the re-stream slow path * s3: explain the TLS proxy in the multipart copy checksum test * s3: cover nil and unknown-algorithm edge cases in copy checksum tests * s3: cover all checksum algorithms in the multipart copy test * s3: run all checksum integration tests, not just presigned |
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Chris Lu
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3eb550a3f1 |
fix(tests): 32-bit build of EC e2e tests, type-check linux/386 in CI (#9922)
* fix(tests): keep EC e2e fid cookie arithmetic in uint32 The cookie constants 0x9490CA00 and 0x9500CA00 were added to the int loop variable before conversion, overflowing 32-bit int at compile time on linux/386 and linux/arm. Convert the loop variable instead so the addition stays in uint32. * fix(tests): pass s3client max backoff in milliseconds MaxBackoffDelay is documented as milliseconds and multiplied by 1e6 before use, but the example set it to 5s in nanoseconds, yielding an absurd backoff on 64-bit and a compile-time int overflow on 32-bit. * ci: type-check code and tests for linux/386 64-bit-only constant arithmetic keeps slipping into test files and breaking 32-bit downstream builds. Vet the whole root module under GOOS=linux GOARCH=386 so these fail in CI instead of after release. * fix(tests): convert s3client backoff to Duration before scaling The ms-to-ns multiplication ran in int, wrapping at runtime on 32-bit; scale by time.Millisecond after the Duration conversion instead. |
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Chris Lu
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2871e6552a |
fix(s3api): drop ancestor directory markers from prefixed ListObjectVersions (#9885)
processExplicitDirectory appended a directory-key object as a version without checking it against the prefix. A versioned listing descends through ancestor markers to reach a deeper prefix, so every ancestor (Veeam/, Veeam/Backup/, ...) leaked into Versions even though none of them match the prefix - which makes Veeam's immutable repository scan abort on an unexpected key. Guard on the prefix so only keys at or under it surface, matching ListObjectsV2 and AWS. |
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Chris Lu
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01637410e2 |
test(s3): address review feedback on the versioning suite (#9846)
- Different-users bucket test: use getNewBucketName() so the bucket carries the tracked prefix and run id and gets swept if the test leaks, instead of an untracked name. - Makefile: clarify that '.' matches the opt-in stress tests but they self-skip without ENABLE_STRESS_TESTS, so they don't execute in the default run. - Versioned list test: guard the Object.Size dereference with require.NotNil. |
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Chris Lu
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d321f9efb4 |
s3: collapse suspended-versioning deletes onto one null marker (#9845)
A suspended-versioning DELETE was recorded with createDeleteMarker, which mints a fresh real version id each time, so repeated suspended deletes piled up delete markers instead of overwriting a single null marker as S3 specifies. Record the suspended delete as a 'null' marker with a fixed file name (v_null) and point the latest-version pointer at it explicitly; putSuspendedVersioningObject's existing null-version cleanup removes it on the next suspended PUT, so the object undeletes cleanly and at most one null marker exists. Enabled-versioning deletes are unchanged (still distinct historical markers). Update TestSuspendedVersioningDeleteBehavior to the AWS-correct counts: one null marker after a suspended delete, and the null marker plus one real marker after a re-enabled delete. |
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Chris Lu
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fa9bf58c86 |
test(s3): make the whole versioning suite pass and gate it in CI (#9844)
* test(s3): correct bucket-recreate expectations and cover the different-owner case A same-owner CreateBucket on an existing bucket returns BucketAlreadyOwnedByYou (idempotent recreate); the suite expected BucketAlreadyExists, which only applies when the name is owned by someone else. Fix the same-owner cases (plain and Object-Lock) and implement the previously-skipped different-owner test, which now exercises the BucketAlreadyExists path via a second identity. * test(s3): assert the deletion invariant for suspended-versioning delete A suspended-versioning DELETE removes the null version and records a delete marker so the object reads as deleted; the test expected no marker, which would let an older version resurface. Assert that a marker is recorded (and read DeleteMarker through aws.ToBool) rather than an exact count, so it holds whether or not the suspended-marker id/dedup is later collapsed to AWS's single null marker. * test(s3): run the whole versioning suite by default TEST_PATTERN was TestVersioning, which left bucket-creation, suspended-delete and directory/version-listing tests ungated. Default to '.' so every test runs; opt-in stress tests self-skip without ENABLE_STRESS_TESTS and keep their own targets. |
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Chris Lu
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795349d796 |
test(s3): deref Object.Size in versioned list assertion (#9843)
TestVersionedObjectListBehavior compared int64 against listedObject.Size, which is *int64, so the assertion always failed on a type mismatch once reached. Dereference it (and in the log line). |
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Chris Lu
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309cb32416 |
s3: list directory key objects in versioned bucket version listings (#9842)
ListObjectVersions gated explicit directory objects on Mime == FolderMimeType, but an SDK PutObject of "dir/" carries a default Content-Type (e.g. application/octet-stream), so those directory keys were dropped from the version listing while ListObjectsV2 - which keys off IsDirectoryKeyObject (any non-empty mime) - still showed them. Use the same IsDirectoryKeyObject check so the two listings agree. The directory test's storage-class assertion compared an ObjectStorageClass constant against ObjectVersion.StorageClass (ObjectVersionStorageClass); the values matched but the SDK enum types did not, so it only surfaced once the directories started appearing. Use the matching constant. |
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Konstantin Lebedev
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df833d485f | [test] update docker image for s3test (#9811) | ||
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Chris Lu
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b6a0bde16b |
test(s3/iam): scope ListBucket isolation via s3:prefix condition (#9805)
The username-isolation policy denied s3:ListBucket through an object-path NotResource. ListBucket is bucket-level, so its resource ARN is the bucket and never matches an object path: the Deny always fired and a user could not list their own prefix. Scope the per-user List deny with a StringNotLike s3:prefix condition instead, the same mechanism the matching Allow uses. |
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Konstantin LebedevandChris Lu
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3537312045 |
[docker] add make test_keycloak_s3 for local develop and debug (#9719)
* add make test_keylock_s3 for local develop and debug * fix typos * add condition oidc:azp * docker: reuse test/s3/iam realm and iam config for keycloak dev compose Point the keycloak dev compose at the existing test/s3/iam configs instead of a parallel realm/port/key/role set. Adds one declarative realm import (seaweedfs-test-realm.json) as the single realm source and drops the duplicated iam.json/s3.json. --------- Co-authored-by: Chris Lu <chris.lu@gmail.com> |
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Chris Lu
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6fc212cedb |
test: wait for a writable volume before lifecycle tests' first write (#9658)
Probe one throwaway write once per process before the lifecycle tests run, absorbing the post-start volume-growth window so the first real PutObject doesn't race volume growth and 500. Each call is bounded by the remaining 60s budget; CreateBucket is retried within it. |
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Chris Lu
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dc5621d2ae |
s3: use oidc: prefix for trust-policy conditions in IAM example (#9653)
* s3: use oidc: prefix for trust-policy conditions in IAM example Trust-policy conditions for AssumeRoleWithWebIdentity see OIDC claims under the oidc: prefix, so the docker example's bare "roles" key never matched and denied every web-identity assume against those roles. Switch the three roles to oidc:roles. Also document the available trust-policy condition keys (oidc:iss/sub/aud, oidc:<claim>, aws:FederatedProvider, aws:userid, sts:DurationSeconds) and note that roleMapping selects the role for direct OIDC bearer auth while STS uses the explicit RoleArn plus trust policy. * s3: clarify aws:userid differs between trust policy and request auth aws:userid is the raw sub claim during trust-policy evaluation, but a stable sub+iss hash (ComputeParentUser) during S3 request authorization after the role is assumed. Note both so the two contexts aren't conflated. |
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Chris Lu
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285025eb73 |
s3api: support group inline policies + Condition enforcement (#9569)
* test(s3api): cover IAM inline policy aws:SourceIp + group inline gap Unit tests under weed/s3api/ drive PutUserPolicy / PutGroupPolicy → reload → VerifyActionPermission with a synthetic 127.0.0.1 request and assert that the policy's IpAddress condition flips the outcome. The user-policy cases pass on master (hydrateRuntimePolicies already routes inline docs through the policy engine, so Condition blocks are honored end- to-end). The group-policy case fails: PutGroupPolicy still returns NotImplemented, so a group inline doc never lands in the engine. Integration counterparts live under test/s3/iam/ and exercise the same paths against a live SeaweedFS S3+IAM endpoint. * s3api: support group inline policies + Condition enforcement PutGroupPolicy/GetGroupPolicy/DeleteGroupPolicy/ListGroupPolicies used to return NotImplemented in embedded IAM mode, so anything attached to a group as an inline doc — including aws:SourceIp or any other Condition — was simply unreachable. Wire the four endpoints to the credential-store methods that were already in place (memory, postgres, filer_etc all implement GroupInlinePolicyStore). On every config reload, hydrateRuntimePolicies now also walks LoadGroupInlinePolicies, registers each doc in the IAM policy engine under __inline_group_policy__/<group>/<policy>, and appends that key to Group.PolicyNames so evaluateIAMPolicies picks it up through its existing group walk. PutGroupPolicy/DeleteGroupPolicy are added to the ReloadConfiguration trigger list in DoActions. Side fix: MemoryStore.LoadConfiguration now surfaces store.groups too. Without it iam.groups never repopulated on a memory-store reload, so group policy evaluation silently no-op'd whether the policy was inline or attached. The existing tests didn't notice because no test reloaded through cm after creating a group. The NotImplemented unit test is inverted to drive the new round-trip. * s3api: drop redundant refreshIAMConfiguration from Put/DeleteGroupPolicy DoActions already triggers ReloadConfiguration for both actions via the explicit reload list, so calling refreshIAMConfiguration inline runs the load twice per request. Per PR review. * s3api: scope group-policy resource names per test; tighten deny polling - Integration test resource names get a per-test suffix so retried or parallel CI jobs don't trip EntityAlreadyExists / BucketAlreadyExists. - Deny-path Eventually loops gate on AccessDenied via a typed helper rather than any non-nil error; transient setup errors no longer end the wait prematurely. - ListGroupPolicies returns ServiceFailure when the credential manager is nil, matching Put/Get/DeleteGroupPolicy. * test(s3 iam): cover both IPv4 and IPv6 loopback in allow CIDRs CI runners with happy-eyeballs resolve `localhost` to ::1 first, in which case a 127.0.0.0/8-only allow would silently never match and the deny-driven enforcement test would hang for the allow case. Add ::1/128 to every loopback-matching policy so the allow path works regardless of which loopback family the SDK lands on. |
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Chris Lu
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f72983c1fd |
fix(s3): stop S3 Tables routes from swallowing buckets named "buckets" or "get-table" (#9566)
* fix(s3): stop S3 Tables routes from swallowing buckets named "buckets" or "get-table"
The S3 Tables REST endpoints share top-level paths with the regular S3
API (/buckets for ListTableBuckets/CreateTableBucket, /get-table for
GetTable). They are registered first on the same router as the bucket
subrouter, so a path-style request such as GET /buckets?list-type=2 on
a bucket actually named "buckets" matched ListTableBuckets and returned
JSON. AWS SDK V2 (and Hadoop s3a / Spark) then failed XML parsing with
"Unexpected character '{' (code 123) in prolog".
Disambiguate by requiring the AWS V4 credential scope to name the
s3tables service on the colliding routes. Regular S3 SDKs sign with
service=s3, S3 Tables SDKs sign with service=s3tables, and the scope is
present in both the Authorization header and the X-Amz-Credential query
parameter for presigned URLs, so the matcher works for both flavors.
ARN-bearing S3 Tables routes (/buckets/<arn>, /namespaces/<arn>, etc.)
already cannot collide because colons are not valid in bucket names, so
they are left untouched.
* fix(s3): accept AWS JSON RPC content type as S3 Tables intent signal
The Iceberg catalog integration tests send unsigned PUT /buckets with
Content-Type: application/x-amz-json-1.1 to create table buckets. With
only the credential-scope check, those requests fell through to the
regular S3 CreateBucket handler and the suite went red on this branch.
Extend the matcher so a request is recognized as S3 Tables when either:
- its AWS V4 credential scope names SERVICE=s3tables; or
- it carries the canonical AWS JSON RPC 1.1 content type and is
unsigned (a request explicitly signed for SERVICE=s3 still wins).
The regular S3 SDKs do not send application/x-amz-json-1.1, so the
signal is safe for the colliding paths (/buckets, /get-table).
Also add an AWS SDK V2 for Go integration test under
test/s3/sdk_v2_routing/ that drives the SDK's own XML deserializer
against a bucket literally named "buckets" and "get-table" — the SDK
errors before the test asserts if the server returns the wrong body
shape. Wired up via .github/workflows/s3-sdk-v2-routing-tests.yml,
mirroring the etag/acl workflow.
* s3api: extend service matcher to all S3 Tables routes; simplify scope check
- Apply serviceMatcher to every S3 Tables route, not just the bare-path
ones. ARN-bearing paths could otherwise be hit by an S3 object key
that starts with arn:aws:s3tables:..., inside a bucket named
"buckets", "namespaces", "tables", or "tag". One matcher everywhere
closes both collision classes.
- Replace strings.Split + index lookup with strings.Contains for the
credential-scope check. The scope shape is fixed at
AK/DATE/REGION/SERVICE/aws4_request, slashes only delimit components,
and access keys are alphanumeric — so /s3tables/ matches iff SERVICE
is exactly s3tables. Existing unit cases (including the
access-key-substring case) still pass.
- Read the GetObject body in the SDK v2 routing test with io.ReadAll;
the single Read could return short and make the equality check flaky.
* s3api: drop content-type fallback; sign s3 tables harness traffic instead
The content-type fallback in isS3TablesSignedRequest let an anonymous
regular-S3 request whose body type is application/x-amz-json-1.1 hit
an S3 Tables route when the path-style object key happened to be
shaped like an S3 Tables ARN (e.g. PutObject on bucket "buckets"
with key arn:aws:s3tables:.../bucket/foo/policy). Narrow the matcher
back to the AWS V4 credential scope so only requests signed for
SERVICE=s3tables match the S3 Tables routes.
Update the Iceberg catalog test harness — the only caller still
sending unsigned PUT /buckets — to sign with SERVICE=s3tables. The
mini instance runs in default-allow mode, so the signature itself is
not verified; only the credential scope matters for the route match.
Drop the stale unit cases for the JSON-RPC content-type signal and
the routing test that exercised unsigned harness traffic.
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Chris Lu
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b4289abb0a |
admin: convert filer address to gRPC form before dispatch (#9523)
The master returns each registered filer in pb.ServerAddress dual-port form (host:httpPort.grpcPort, e.g. 10.0.0.1:8888.18888). The admin's plugin context builder forwarded that string verbatim as filer_grpc_address, so workers calling grpc.DialContext on it failed every job in ~3ms with "dial tcp: lookup tcp/8888.18888: unknown port". Run each entry through pb.ServerAddress.ToGrpcAddress before populating ClusterContext.FilerGrpcAddresses. The lifecycle integration test now pins filer.port.grpc to a value that breaks the FILER_PORT+10000 assumption, and a new dispatch test drives the admin's /api/plugin/job-types/s3_lifecycle/run path end-to-end and asserts the dispatched job both reaches the filer and deletes the backdated object. |
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Chris LuandCopilot
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b1d59b04a8 |
fix(s3/lifecycle): walker dispatch uses entry.Path for ABORT_MPU (#9477)
* fix(s3/lifecycle): WalkerDispatcher uses entry.Path for ABORT_MPU + shell announces load Two CI-surfaced bugs caught by PR #9471's S3 Lifecycle Tests run on master after PRs #9475 + #9466: 1. Walker dispatch for ABORT_MPU was sending entry.DestKey as req.ObjectPath. The server's ABORT_MPU handler (weed/s3api/s3api_internal_lifecycle.go) strips the .uploads/ prefix to extract the upload id and reads the init record from that directory, so it expects the .uploads/<id> path verbatim. DestKey looks like a regular object path; the server's prefix check fails and the dispatch returns BLOCKED with "FATAL_EVENT_ERROR: ABORT_MPU object_path missing .uploads/ prefix". The test fix renames TestWalkerDispatcher_MPUInitUsesDestKey to ...UsesUploadsPath and inverts the assertion to match the actual server contract. DestKey is still used for the WalkBuckets shard predicate and for rule-prefix matching in bootstrap.walker; both surfaces want the user's intended path, while DISPATCH wants the .uploads/<id> directory. The bootstrap test (TestLifecycleAbortIncompleteMultipartUpload) caught this when the walker's BLOCKED error surfaced as FATAL output. 2. test/s3/lifecycle/s3_lifecycle_empty_bucket_test.go asserts the shell command logs "loaded lifecycle for N bucket(s)" so a regression that produces half-shaped output (no load summary) is caught. The restored shell command (PR #9475) didn't print that line; add it back on the first pass that finds non-zero inputs. * fix(s3/lifecycle): walker fires for walker-only buckets (empty replay path) runShard's empty-replay sentinel (rsh == [32]byte{}) was returning BEFORE the steady-state walker check. A bucket whose only lifecycle rule was walker-only (ExpirationDate / ExpiredDeleteMarker / NewerNoncurrent) would never have it dispatched because: - ReplayContentHash only hashes replay-eligible kinds, so walker-only-only snapshots produce rsh == empty. - The early-return persisted the empty cursor and exited before the steady-state walker block at the bottom of the function. Move the walker invocation INTO the empty-replay branch so walker- only rules dispatch on the same path as mixed-rule buckets. TestLifecycleExpirationDateInThePast and TestLifecycleExpiredDeleteMarkerCleanup were both timing out their "object must be deleted" Eventually polls because of this. Caught on PR #9471's S3 Lifecycle Tests run after PR #9475 restored the shell entry point that exercises the integration tests. * fix(s3/lifecycle): cold-start walker covers pre-existing objects runShard only walked the bucket tree on the recovery branch (found && hash mismatch). For a fresh worker with no persisted cursor, found=false, so the recovery walker never fired and the meta-log replay only scanned runNow - maxTTL of events. Objects PUT before that window — including pre-existing objects in a newly-rule-enabled bucket — never matched the rule. The streaming worker handled this with scheduler.BucketBootstrapper. Daily-replay needed the equivalent: walk the live tree once on the first run for each shard so pre-existing objects get evaluated even when their PUT events are outside meta-log scan window. Restructured the recovery branch to fire the walker on either (found && mismatch) OR !found. On cold-start the cursor isn't rewound — we keep TsNs=0 and let the drain below floor to runNow - maxTTL like before; the walker just handles whatever the sliding window can't reach. TestLifecycleBootstrapWalkOnExistingObjects was the exact CI failure this addresses (https://github.com/seaweedfs/seaweedfs/actions/runs/25777823522/job/75714014151). * fix(s3/lifecycle): restore walker tag and null-version state Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(s3/lifecycle): parallelize shell shard sweeps Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix(s3/lifecycle): bound each runPass ctx + refresh in runLifecycleShard Two CI bugs surfaced after PR #9466 deleted the streaming worker: 1. The shell command's -refresh loop never fires. runPass used the outer ctx (full -runtime), so dailyrun.Run blocked for the entire 1800s s3tests window — the background worker only ran one pass and never re-loaded configs that tests created mid-run. test_lifecycle_expiration sees 6 objects when expecting 4 because expire1/* never reaches the worker's snapshot. Cap each pass to cadence+5s when cadence>0; one-shot (cadence=0) keeps the full ctx. 2. TestLifecycleExpiredDeleteMarkerCleanup's docstring says "pass 1 cleans v1; pass 2 removes the now-orphaned marker," but runLifecycleShard invoked with no -refresh — only one pass ran. The marker rule can't fire in the same pass that dispatches v1's delete because v1 is still in .versions/. Add -refresh 1s so the 10s runtime gets multiple passes. * fix(s3/lifecycle): persist cursor with fresh ctx after passCtx timeout drainShardEvents only exits via ctx cancellation for an idle subscription — that's the steady-state when all replayed events are already past. Saving the cursor with the canceled passCtx silently drops every advance, so the next pass re-subscribes from the same floor and re-replays the same events. Symptom in s3tests: status=error shards=16 errors=16 on every pass, and 1/6 expire3/* dispatches lost to a race between concurrent shard drains all retrying the same events. Use a 5s timeout derived from context.Background for the save, and treat passCtx Deadline/Canceled from drain as a clean end-of-pass — not a shard-level error to log. * fix(s3/lifecycle): trust persisted cursor; never bump past pending events The drain freezes cursorAdvanceTo at the last pre-skip event so pending matches (DueTime > runNow) re-enter the subscription next pass. Combined with the new cursor persistence, the floor bump (runNow - maxTTL) then orphans the very events the drain stopped at. Concrete: a rule with TTL == maxTTL fires at runNow == PUT_TIME + maxTTL, so floor (= runNow - maxTTL) lands exactly on PUT_TIME. If the last advance saved a cursor right before the not-yet-due PUT (e.g., keep2/* between expire1/* and expire3/* on the same shard), the floor bump on pass 9 skips past the expire3 event itself — the worker never re-reads it. Test symptom: expire3/* never expires when worker shards include other earlier no-match events. Cold start (found=false) still subscribes from runNow - maxTTL. Steady state honors the cursor verbatim. --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |