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| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Chris Lu
|
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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d448e9db7b |
iceberg: withhold the S3 endpoint from credential-vending clients (#10570)
* iceberg: withhold the S3 endpoint from credential-vending clients A client that sends X-Iceberg-Access-Delegation: vended-credentials builds its storage credential out of the LoadTable config and drops the one it was configured with. We vend no credentials, so the endpoint we advertised left DuckDB signing nothing: every metadata and data file came back 403, and its attempt to refresh the empty credential 404ed on stage-created tables. Answer those clients with no config at all so they keep their own credentials. Clients that do not ask for delegation still get the endpoint. * iceberg: mark load responses as varying on the delegation header The FileIO config in a table or view load response now depends on whether the client asked for vended credentials, so a cache between us and the client must key on that header rather than on the URL alone. * test: cover the DuckDB vended-credentials access pattern Runs weed mini with -s3.externalUrl, which is what makes the catalog advertise an endpoint at all, and checks both halves: a plain LoadTable still gets the endpoint, while one asking for vended credentials never gets an endpoint without the credentials to sign with. The DuckDB round trip creates a table from a query and reads it back, which is the flow that failed with 403 on every data file. |
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Chris Lu
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c191b2fe01 |
iceberg: let clients select their table bucket as the catalog warehouse (#10549)
* iceberg: accept bare bucket names and ARNs as the catalog warehouse Only s3://<bucket>/ was recognized. A warehouse spelled as a bare table bucket name or as the s3tables bucket ARN -- the two forms users reach for first, the latter being what AWS S3 Tables itself takes -- was silently dropped, so every call landed on the default "warehouse" bucket and failed with "table bucket warehouse not found". * iceberg: report a missing table bucket as 404, not 500 Pointing a client at a table bucket that does not exist -- which every client with no warehouse set does, since the default bucket "warehouse" rarely exists -- returned InternalServerError with a message naming a bucket the client never asked for. Answer 404 and say how to select one. * admin: show the warehouse in the PyIceberg example The example connected without one, so it always resolved to the default table bucket and every client that copied it failed on the first call. * test: pin bearer auth against a table bucket that exists The subtest called the catalog with no warehouse and accepted 500 as proof that auth had passed, since the default bucket does not exist. A missing table bucket now answers 404, which the test read as an auth failure. Give it a real table bucket so only 200 passes. * test: assert the missing-bucket guidance reaches the client The status and error type were checked but not the message, which is the part of the mapping that tells a user how to select a table bucket. * test: encode the warehouse query value The ARN case pasted raw colons and slashes into the query string. Go's parser tolerates them, so the test passed without modelling how a client actually sends the request. |
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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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d92c5e057a |
test(iceberg): cross-engine regression coverage for deterministic table locations (#9074) (#9253)
* test(trino): regression for unique-table-location=false (#9074) With #9246's namespace-location property, Trino's REST catalog can resolve table locations even when the connector is configured with `iceberg.unique-table-location=false`, and CREATE/CTAS lands at the deterministic <namespace-location>/<tableName> path with no UUID-suffixed sibling. Lock that in: - writeTrinoConfig now parameterizes the unique-table-location flag via a withDeterministicTableLocation() option. - setupTrinoTest forwards config options. - TestTrinoDeterministicLocationCTAS exercises a fresh CREATE TABLE + CTAS with the flag flipped off and asserts the on-disk layout has no UUID-suffixed sibling under the namespace dir, proving each table occupies a single dir. Refs #9074 * test(spark): regression for CTAS without explicit location (#9074) iceberg-spark has no equivalent of Trino's unique-table-location flag — its REST catalog interactions always produce the deterministic <namespace-location>/<tableName> path. Without #9246's namespace-location property, Spark cannot resolve a table location for a CREATE TABLE that omits an explicit LOCATION clause; with it, the operation succeeds and the table lands at the expected single-dir-per-table layout. TestSparkDeterministicLocationCTAS walks the same scenario as the Trino test: CREATE TABLE without LOCATION, INSERT, CTAS, SELECT count, then asserts via S3 ListObjectsV2 that no UUID-suffixed sibling directory appears under the namespace. Refs #9074 * test(duckdb): read table at deterministic location via REST catalog (#9074) DuckDB's iceberg extension is a read-only consumer in this flow — there is no client-side UUID-suffixing toggle to test. The relevant question post-#9246 is whether DuckDB can ATTACH the REST catalog and resolve a table at a deterministic <bucket>/<namespace>/<tableName> path produced by writers that don't suffix UUIDs (iceberg-spark, pyiceberg, Trino with unique-table-location=false). TestDuckDBDeterministicLocationRead creates a namespace + minimal table via direct REST API calls (so no client-side UUID is added), confirms the catalog returns a deterministic location URL, then runs DuckDB through ATTACH ... TYPE 'ICEBERG' and DESCRIBE on the table. Asserting DESCRIBE succeeds proves DuckDB walked the catalog → metadata → schema chain against the deterministic on-disk path. The test skips gracefully when the DuckDB image lacks the iceberg extension or the ATTACH-iceberg syntax, so older base images don't fail the suite. Refs #9074 |
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Chris Lu
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9554e259dd |
fix(iceberg): route catalog clients to the right bucket and vend S3 endpoint (#9109)
* fix(iceberg): route catalog clients to the right bucket and vend S3 endpoint DuckDB ATTACH 's3://<bucket>/' AS cat (TYPE 'ICEBERG', ...) was failing with "schema does not exist" because GET /v1/config ignored the warehouse query parameter and returned no overrides.prefix, so subsequent requests fell through to the hard-coded "warehouse" default bucket instead of the one the client attached. LoadTable also returned an empty config, forcing clients to discover the S3 endpoint out-of-band and producing 403s on direct iceberg_scan calls. - handleConfig now echoes overrides.prefix = bucket and defaults.warehouse when ?warehouse=s3://<bucket>/ is supplied. - getBucketFromPrefix honors a warehouse query parameter as a fallback for clients that skip the /v1/config handshake. - LoadTable responses advertise s3.endpoint and s3.path-style-access so clients can reach data files without separate configuration. Refs #9103 * address review feedback on iceberg S3 endpoint vending - deriveS3AdvertisedEndpoint is now a method on S3Options; honors externalUrl / S3_EXTERNAL_URL, switches to https when -s3.key.file is set, uses the https port when configured, and brackets IPv6 literals via util.JoinHostPort. - handleCreateTable returns s.buildFileIOConfig() in both its staged and final LoadTableResult branches so create and load flows see the same FileIO hints. - Add unit test coverage for the endpoint derivation scenarios. * address CI and review feedback for #9109 - DuckDB integration test now runs under its own newOAuthTestEnv (with a valid IAM config) so the OAuth2 client_credentials flow DuckDB requires actually works; the shared env has no registered credentials, which was the cause of the CI failure. Helper createTableWithToken was added to create tables via Bearer auth. - Tighten TestIssue9103_LoadTableDoesNotVendS3FileIOCredentials to also assert s3.path-style-access = "true", so a partial regression where the endpoint is vended but path-style is dropped still fails. - deriveS3AdvertisedEndpoint now logs a startup hint when it infers the host from os.Hostname because the bind IP is a wildcard, pointing operators at -s3.externalUrl / S3_EXTERNAL_URL for reverse-proxy deployments where the inferred name is not externally reachable. - handleConfig has a comment explaining that any sub-path in the warehouse URL is dropped because catalog routing is bucket-scoped. * fix(iceberg): make advertised S3 endpoint strictly opt-in; add region The wildcard-bind fallback to os.Hostname() in deriveS3AdvertisedEndpoint was hijacking correctly-configured clients: on the CI runner it produced http://runnervmrc6n4:<port>, which Spark (running in Docker) could not resolve, so Spark iceberg tests began failing after the endpoint started being vended in LoadTable responses. Change the rule so advertising is opt-in and never guesses a host that might not be routable: - -s3.externalUrl / S3_EXTERNAL_URL wins (covers reverse-proxy). - Otherwise, only an explicit, non-wildcard -s3.bindIp is used. - Wildcard / empty bind returns "" so no FileIO endpoint is vended and existing clients keep using their own configuration. buildFileIOConfig additionally vends s3.region (defaulting to the same value baked into table bucket ARNs) whenever it vends an endpoint, so DuckDB's attach does not fail with "No region was provided via the vended credentials" when the operator has opted in. The DuckDB issue-9103 integration test runs under an env with a wildcard bind, so it explicitly sets AWS_REGION in the docker run to pick up the same default. The HTTP-level LoadTable-vending test was dropped because its expectation is now conditional and already covered by unit tests in iceberg_issue_9103_test.go. |
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Chris Lu
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2b8c16160f |
feat(iceberg): add OAuth2 token endpoint for DuckDB compatibility (#9017)
* feat(iceberg): add OAuth2 token endpoint for DuckDB compatibility (#9015) DuckDB's Iceberg connector uses OAuth2 client_credentials flow, hitting POST /v1/oauth/tokens which was not implemented, returning 404. Add the OAuth2 token endpoint that accepts S3 access key / secret key as client_id / client_secret, validates them against IAM, and returns a signed JWT bearer token. The Auth middleware now accepts Bearer tokens in addition to S3 signature auth. * fix(test): use weed shell for table bucket creation with IAM enabled The S3 Tables REST API requires SigV4 auth when IAM is configured. Use weed shell (which bypasses S3 auth) to create table buckets, matching the pattern used by the Trino integration tests. * address review feedback: access key in JWT, full identity in Bearer auth - Include AccessKey in JWT claims so token verification uses the exact credential that signed the token (no ambiguity with multi-key identities) - Return full Identity object from Bearer auth so downstream IAM/policy code sees an authenticated request, not anonymous - Replace GetSecretKeyForIdentity with GetCredentialByAccessKey for unambiguous credential lookup - DuckDB test now tries the full SQL script first (CREATE SECRET + catalog access), falling back to simple CREATE SECRET if needed - Tighten bearer auth test assertion to only accept 200/500 Addresses review comments from coderabbitai and gemini-code-assist. * security: use PostFormValue, bind signing key to access key, fix port conflict - Use r.PostFormValue instead of r.FormValue to prevent credentials from leaking via query string into logs and caches - Reject client_secret in URL query parameters explicitly - Include access key in HMAC signing key derivation to prevent cross-credential token forgery when secrets happen to match - Allocate dedicated webdav port in OAuth test env to avoid port collision with the shared TestMain cluster |
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Chris Lu
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fbe758efa8 |
test: consolidate port allocation into shared test/testutil package (#8982)
* test: consolidate port allocation into shared test/testutil package Move duplicated port allocation logic from 15+ test files into a single shared package at test/testutil/. This fixes a port collision bug where independently allocated ports could overlap via the gRPC offset (port+10000), causing weed mini to reject the configuration. The shared package provides: - AllocatePorts: atomic allocation of N unique ports - AllocateMiniPorts/MustFreeMiniPorts: gRPC-offset-aware allocation that prevents port A+10000 == port B collisions - WaitForPort, WaitForService, FindBindIP, WriteIAMConfig, HasDocker * test: address review feedback and fix FUSE build - Revert fuse_integration change: it has its own go.mod and cannot import the shared testutil package - AllocateMiniPorts: hold all listeners open until the entire batch is allocated, preventing race conditions where other processes steal ports - HasDocker: add 5s context timeout to avoid hanging on stalled Docker - WaitForService: only treat 2xx HTTP status codes as ready * test: use global rand in AllocateMiniPorts for better seeding Go 1.20+ auto-seeds the global rand generator. Using it avoids identical sequences when multiple tests call at the same nanosecond. * test: revert WaitForService status code check S3 endpoints return non-2xx (e.g. 403) on bare GET requests, so requiring 2xx caused the S3 integration test to time out. Any HTTP response is sufficient proof that the service is running. * test: fix gofmt formatting in s3tables test files |
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Chris Lu
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36c469e34e |
Enforce IAM for S3 Tables bucket creation (#8388)
* Enforce IAM for s3tables bucket creation * Prefer IAM path when policies exist * Ensure IAM enforcement honors default allow * address comments * Reused the precomputed principal when setting tableBucketMetadata.OwnerAccountID, avoiding the redundant getAccountID call. * get identity * fix * dedup * fix * comments * fix tests * update iam config * go fmt * fix ports * fix flags * mini clean shutdown * Revert "update iam config" This reverts commit |
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Chris Lu
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0d8588e3ae |
S3: Implement IAM defaults and STS signing key fallback (#8348)
* S3: Implement IAM defaults and STS signing key fallback logic * S3: Refactor startup order to init SSE-S3 key manager before IAM * S3: Derive STS signing key from KEK using HKDF for security isolation * S3: Document STS signing key fallback in security.toml * fix(s3api): refine anonymous access logic and secure-by-default behavior - Initialize anonymous identity by default in `NewIdentityAccessManagement` to prevent nil pointer exceptions. - Ensure `ReplaceS3ApiConfiguration` preserves the anonymous identity if not present in the new configuration. - Update `NewIdentityAccessManagement` signature to accept `filerClient`. - In legacy mode (no policy engine), anonymous defaults to Deny (no actions), preserving secure-by-default behavior. - Use specific `LookupAnonymous` method instead of generic map lookup. - Update tests to accommodate signature changes and verify improved anonymous handling. * feat(s3api): make IAM configuration optional - Start S3 API server without a configuration file if `EnableIam` option is set. - Default to `Allow` effect for policy engine when no configuration is provided (Zero-Config mode). - Handle empty configuration path gracefully in `loadIAMManagerFromConfig`. - Add integration test `iam_optional_test.go` to verify empty config behavior. * fix(iamapi): fix signature mismatch in NewIdentityAccessManagementWithStore * fix(iamapi): properly initialize FilerClient instead of passing nil * fix(iamapi): properly initialize filer client for IAM management - Instead of passing `nil`, construct a `wdclient.FilerClient` using the provided `Filers` addresses. - Ensure `NewIdentityAccessManagementWithStore` receives a valid `filerClient` to avoid potential nil pointer dereferences or limited functionality. * clean: remove dead code in s3api_server.go * refactor(s3api): improve IAM initialization, safety and anonymous access security * fix(s3api): ensure IAM config loads from filer after client init * fix(s3): resolve test failures in integration, CORS, and tagging tests - Fix CORS tests by providing explicit anonymous permissions config - Fix S3 integration tests by setting admin credentials in init - Align tagging test credentials in CI with IAM defaults - Added goroutine to retry IAM config load in iamapi server * fix(s3): allow anonymous access to health targets and S3 Tables when identities are present * fix(ci): use /healthz for Caddy health check in awscli tests * iam, s3api: expose DefaultAllow from IAM and Policy Engine This allows checking the global "Open by Default" configuration from other components like S3 Tables. * s3api/s3tables: support DefaultAllow in permission logic and handler Updated CheckPermissionWithContext to respect the DefaultAllow flag in PolicyContext. This enables "Open by Default" behavior for unauthenticated access in zero-config environments. Added a targeted unit test to verify the logic. * s3api/s3tables: propagate DefaultAllow through handlers Propagated the DefaultAllow flag to individual handlers for namespaces, buckets, tables, policies, and tagging. This ensures consistent "Open by Default" behavior across all S3 Tables API endpoints. * s3api: wire up DefaultAllow for S3 Tables API initialization Updated registerS3TablesRoutes to query the global IAM configuration and set the DefaultAllow flag on the S3 Tables API server. This completes the end-to-end propagation required for anonymous access in zero-config environments. Added a SetDefaultAllow method to S3TablesApiServer to facilitate this. * s3api: fix tests by adding DefaultAllow to mock IAM integrations The IAMIntegration interface was updated to include DefaultAllow(), breaking several mock implementations in tests. This commit fixes the build errors by adding the missing method to the mocks. * env * ensure ports * env * env * fix default allow * add one more test using non-anonymous user * debug * add more debug * less logs |
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Chris Lu
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7151181d54 | fix flaky tests | ||
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Chris Lu
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d6825ffce2 |
Iceberg: implement stage-create finalize flow (phase 1) (#8279)
* iceberg: implement stage-create and create-on-commit finalize * iceberg: add create validation error typing and stage-create integration test * tests: merge stage-create integration check into catalog suite * tests: cover stage-create finalize lifecycle in catalog integration * iceberg: persist and cleanup stage-create markers * iceberg: add stage-create rollout flag and marker pruning * docs: add stage-create support design and rollout plan * docs: drop stage-create design draft from PR * iceberg: use conservative 72h stage-marker retention * iceberg: address review comments on create-on-commit and tests * iceberg: keep stage-create metadata out of table location * refactor(iceberg): split iceberg.go into focused files |
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Chris Lu
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a3b83f8808 |
test: add Trino Iceberg catalog integration test (#8228)
* test: add Trino Iceberg catalog integration test - Create test/s3/catalog_trino/trino_catalog_test.go with TestTrinoIcebergCatalog - Tests integration between Trino SQL engine and SeaweedFS Iceberg REST catalog - Starts weed mini with all services and Trino in Docker container - Validates Iceberg catalog schema creation and listing operations - Uses native S3 filesystem support in Trino with path-style access - Add workflow job to s3-tables-tests.yml for CI execution * fix: preserve AWS environment credentials when replacing S3 configuration When S3 configuration is loaded from filer/db, it replaces the identities list and inadvertently removes AWS_ACCESS_KEY_ID credentials that were added from environment variables. This caused auth to remain disabled even though valid credentials were present. Fix by preserving environment-based identities when replacing the configuration and re-adding them after the replacement. This ensures environment credentials persist across configuration reloads and properly enable authentication. * fix: use correct ServerAddress format with gRPC port encoding The admin server couldn't connect to master because the master address was missing the gRPC port information. Use pb.NewServerAddress() which properly encodes both HTTP and gRPC ports in the address string. Changes: - weed/command/mini.go: Use pb.NewServerAddress for master address in admin - test/s3/policy/policy_test.go: Store and use gRPC ports for master/filer addresses This fix applies to: 1. Admin server connection to master (mini.go) 2. Test shell commands that need master/filer addresses (policy_test.go) * move * move * fix: always include gRPC port in server address encoding The NewServerAddress() function was omitting the gRPC port from the address string when it matched the port+10000 convention. However, gRPC port allocation doesn't always follow this convention - when the calculated port is busy, an alternative port is allocated. This caused a bug where: 1. Master's gRPC port was allocated as 50661 (sequential, not port+10000) 2. Address was encoded as '192.168.1.66:50660' (gRPC port omitted) 3. Admin client called ToGrpcAddress() which assumed port+10000 offset 4. Admin tried to connect to 60660 but master was on 50661 → connection failed Fix: Always include explicit gRPC port in address format (host:httpPort.grpcPort) unless gRPC port is 0. This makes addresses unambiguous and works regardless of the port allocation strategy used. Impacts: All server-to-server gRPC connections now use properly formatted addresses. * test: fix Iceberg REST API readiness check The Iceberg REST API endpoints require authentication. When checked without credentials, the API returns 403 Forbidden (not 401 Unauthorized). The readiness check now accepts both auth error codes (401/403) as indicators that the service is up and ready, it just needs credentials. This fixes the 'Iceberg REST API did not become ready' test failure. * Fix AWS SigV4 signature verification for base64-encoded payload hashes AWS SigV4 canonical requests must use hex-encoded SHA256 hashes, but the X-Amz-Content-Sha256 header may be transmitted as base64. Changes: - Added normalizePayloadHash() function to convert base64 to hex - Call normalizePayloadHash() in extractV4AuthInfoFromHeader() - Added encoding/base64 import Fixes 403 Forbidden errors on POST requests to Iceberg REST API when clients send base64-encoded content hashes in the header. Impacted services: Iceberg REST API, S3Tables * Fix AWS SigV4 signature verification for base64-encoded payload hashes AWS SigV4 canonical requests must use hex-encoded SHA256 hashes, but the X-Amz-Content-Sha256 header may be transmitted as base64. Changes: - Added normalizePayloadHash() function to convert base64 to hex - Call normalizePayloadHash() in extractV4AuthInfoFromHeader() - Added encoding/base64 import - Removed unused fmt import Fixes 403 Forbidden errors on POST requests to Iceberg REST API when clients send base64-encoded content hashes in the header. Impacted services: Iceberg REST API, S3Tables * pass sigv4 * s3api: fix identity preservation and logging levels - Ensure environment-based identities are preserved during config replacement - Update accessKeyIdent and nameToIdentity maps correctly - Downgrade informational logs to V(2) to reduce noise * test: fix trino integration test and s3 policy test - Pin Trino image version to 479 - Fix port binding to 0.0.0.0 for Docker connectivity - Fix S3 policy test hang by correctly assigning MiniClusterCtx - Improve port finding robustness in policy tests * ci: pre-pull trino image to avoid timeouts - Pull trinodb/trino:479 after Docker setup - Ensure image is ready before integration tests start * iceberg: remove unused checkAuth and improve logging - Remove unused checkAuth method - Downgrade informational logs to V(2) - Ensure loggingMiddleware uses a status writer for accurate reported codes - Narrow catch-all route to avoid interfering with other subsystems * iceberg: fix build failure by removing unused s3api import * Update iceberg.go * use warehouse * Update trino_catalog_test.go |
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Chris Lu
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e39a4c2041 | fix flaky test | ||
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Chris Lu
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b244bb58aa |
s3tables: redesign Iceberg REST Catalog using iceberg-go and automate integration tests (#8197)
* full integration with iceberg-go * Table Commit Operations (handleUpdateTable) * s3tables: fix Iceberg v2 compliance and namespace properties This commit ensures SeaweedFS Iceberg REST Catalog is compliant with Iceberg Format Version 2 by: - Using iceberg-go's table.NewMetadataWithUUID for strict v2 compliance. - Explicitly initializing namespace properties to empty maps. - Removing omitempty from required Iceberg response fields. - Fixing CommitTableRequest unmarshaling using table.Requirements and table.Updates. * s3tables: automate Iceberg integration tests - Added Makefile for local test execution and cluster management. - Added docker-compose for PyIceberg compatibility kit. - Added Go integration test harness for PyIceberg. - Updated GitHub CI to run Iceberg catalog tests automatically. * s3tables: update PyIceberg test suite for compatibility - Updated test_rest_catalog.py to use latest PyIceberg transaction APIs. - Updated Dockerfile to include pyarrow and pandas dependencies. - Improved namespace and table handling in integration tests. * s3tables: address review feedback on Iceberg Catalog - Implemented robust metadata version parsing and incrementing. - Ensured table metadata changes are persisted during commit (handleUpdateTable). - Standardized namespace property initialization for consistency. - Fixed unused variable and incorrect struct field build errors. * s3tables: finalize Iceberg REST Catalog and optimize tests - Implemented robust metadata versioning and persistence. - Standardized namespace property initialization. - Optimized integration tests using pre-built Docker image. - Added strict property persistence validation to test suite. - Fixed build errors from previous partial updates. * Address PR review: fix Table UUID stability, implement S3Tables UpdateTable, and support full metadata persistence individually * fix: Iceberg catalog stable UUIDs, metadata persistence, and file writing - Ensure table UUIDs are stable (do not regenerate on load). - Persist full table metadata (Iceberg JSON) in s3tables extended attributes. - Add `MetadataVersion` to explicitly track version numbers, replacing regex parsing. - Implement `saveMetadataFile` to persist metadata JSON files to the Filer on commit. - Update `CreateTable` and `UpdateTable` handlers to use the new logic. * test: bind weed mini to 0.0.0.0 in integration tests to fix Docker connectivity * Iceberg: fix metadata handling in REST catalog - Add nil guard in createTable - Fix updateTable to correctly load existing metadata from storage - Ensure full metadata persistence on updates - Populate loadTable result with parsed metadata * S3Tables: add auth checks and fix response fields in UpdateTable - Add CheckPermissionWithContext to UpdateTable handler - Include TableARN and MetadataLocation in UpdateTable response - Use ErrCodeConflict (409) for version token mismatches * Tests: improve Iceberg catalog test infrastructure and cleanup - Makefile: use PID file for precise process killing - test_rest_catalog.py: remove unused variables and fix f-strings * Iceberg: fix variable shadowing in UpdateTable - Rename inner loop variable `req` to `requirement` to avoid shadowing outer request variable * S3Tables: simplify MetadataVersion initialization - Use `max(req.MetadataVersion, 1)` instead of anonymous function * Tests: remove unicode characters from S3 tables integration test logs - Remove unicode checkmarks from test output for cleaner logs * Iceberg: improve metadata persistence robustness - Fix MetadataLocation in LoadTableResult to fallback to generated location - Improve saveMetadataFile to ensure directory hierarchy existence and robust error handling |
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Chris Lu
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1274cf038c |
s3: enforce authentication and JSON error format for Iceberg REST Catalog (#8192)
* s3: enforce authentication and JSON error format for Iceberg REST Catalog * s3/iceberg: align error exception types with OpenAPI spec examples * s3api: refactor AuthenticateRequest to return identity object * s3/iceberg: propagate full identity object to request context * s3/iceberg: differentiate NotAuthorizedException and ForbiddenException * s3/iceberg: reject requests if authenticator is nil to prevent auth bypass * s3/iceberg: refactor Auth middleware to build context incrementally and use switch for error mapping * s3api: update misleading comment for authRequestWithAuthType * s3api: return ErrAccessDenied if IAM is not configured to prevent auth bypass * s3/iceberg: optimize context update in Auth middleware * s3api: export CanDo for external authorization use * s3/iceberg: enforce identity-based authorization in all API handlers * s3api: fix compilation errors by updating internal CanDo references * s3/iceberg: robust identity validation and consistent action usage in handlers * s3api: complete CanDo rename across tests and policy engine integration * s3api: fix integration tests by allowing admin access when auth is disabled and explicit gRPC ports * duckdb * create test bucket |
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Chris Lu
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2bb21ea276 |
feat: Add Iceberg REST Catalog server and admin UI (#8175)
* feat: Add Iceberg REST Catalog server Implement Iceberg REST Catalog API on a separate port (default 8181) that exposes S3 Tables metadata through the Apache Iceberg REST protocol. - Add new weed/s3api/iceberg package with REST handlers - Implement /v1/config endpoint returning catalog configuration - Implement namespace endpoints (list/create/get/head/delete) - Implement table endpoints (list/create/load/head/delete/update) - Add -port.iceberg flag to S3 standalone server (s3.go) - Add -s3.port.iceberg flag to combined server mode (server.go) - Add -s3.port.iceberg flag to mini cluster mode (mini.go) - Support prefix-based routing for multiple catalogs The Iceberg REST server reuses S3 Tables metadata storage under /table-buckets and enables DuckDB, Spark, and other Iceberg clients to connect to SeaweedFS as a catalog. * feat: Add Iceberg Catalog pages to admin UI Add admin UI pages to browse Iceberg catalogs, namespaces, and tables. - Add Iceberg Catalog menu item under Object Store navigation - Create iceberg_catalog.templ showing catalog overview with REST info - Create iceberg_namespaces.templ listing namespaces in a catalog - Create iceberg_tables.templ listing tables in a namespace - Add handlers and routes in admin_handlers.go - Add Iceberg data provider methods in s3tables_management.go - Add Iceberg data types in types.go The Iceberg Catalog pages provide visibility into the same S3 Tables data through an Iceberg-centric lens, including REST endpoint examples for DuckDB and PyIceberg. * test: Add Iceberg catalog integration tests and reorg s3tables tests - Reorganize existing s3tables tests to test/s3tables/table-buckets/ - Add new test/s3tables/catalog/ for Iceberg REST catalog tests - Add TestIcebergConfig to verify /v1/config endpoint - Add TestIcebergNamespaces to verify namespace listing - Add TestDuckDBIntegration for DuckDB connectivity (requires Docker) - Update CI workflow to use new test paths * fix: Generate proper random UUIDs for Iceberg tables Address code review feedback: - Replace placeholder UUID with crypto/rand-based UUID v4 generation - Add detailed TODO comments for handleUpdateTable stub explaining the required atomic metadata swap implementation * fix: Serve Iceberg on localhost listener when binding to different interface Address code review feedback: properly serve the localhost listener when the Iceberg server is bound to a non-localhost interface. * ci: Add Iceberg catalog integration tests to CI Add new job to run Iceberg catalog tests in CI, along with: - Iceberg package build verification - Iceberg unit tests - Iceberg go vet checks - Iceberg format checks * fix: Address code review feedback for Iceberg implementation - fix: Replace hardcoded account ID with s3_constants.AccountAdminId in buildTableBucketARN() - fix: Improve UUID generation error handling with deterministic fallback (timestamp + PID + counter) - fix: Update handleUpdateTable to return HTTP 501 Not Implemented instead of fake success - fix: Better error handling in handleNamespaceExists to distinguish 404 from 500 errors - fix: Use relative URL in template instead of hardcoded localhost:8181 - fix: Add HTTP timeout to test's waitForService function to avoid hangs - fix: Use dynamic ephemeral ports in integration tests to avoid flaky parallel failures - fix: Add Iceberg port to final port configuration logging in mini.go * fix: Address critical issues in Iceberg implementation - fix: Cache table UUIDs to ensure persistence across LoadTable calls The UUID now remains stable for the lifetime of the server session. TODO: For production, UUIDs should be persisted in S3 Tables metadata. - fix: Remove redundant URL-encoded namespace parsing mux router already decodes %1F to \x1F before passing to handlers. Redundant ReplaceAll call could cause bugs with literal %1F in namespace. * fix: Improve test robustness and reduce code duplication - fix: Make DuckDB test more robust by failing on unexpected errors Instead of silently logging errors, now explicitly check for expected conditions (extension not available) and skip the test appropriately. - fix: Extract username helper method to reduce duplication Created getUsername() helper in AdminHandlers to avoid duplicating the username retrieval logic across Iceberg page handlers. * fix: Add mutex protection to table UUID cache Protects concurrent access to the tableUUIDs map with sync.RWMutex. Uses read-lock for fast path when UUID already cached, and write-lock for generating new UUIDs. Includes double-check pattern to handle race condition between read-unlock and write-lock. * style: fix go fmt errors * feat(iceberg): persist table UUID in S3 Tables metadata * feat(admin): configure Iceberg port in Admin UI and commands * refactor: address review comments (flags, tests, handlers) - command/mini: fix tracking of explicit s3.port.iceberg flag - command/admin: add explicit -iceberg.port flag - admin/handlers: reuse getUsername helper - tests: use 127.0.0.1 for ephemeral ports and os.Stat for file size check * test: check error from FileStat in verify_gc_empty_test |