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cd7c8ae784ce0394dfd19f8f4d28cd41d853e8cd
5
Commits
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6de283ccaa |
iceberg: return 400 for invalid namespace/table names (#10051)
* iceberg: return 400 for invalid namespace/table names The S3 Tables name charset (a-z, 0-9, _) is stricter than the Iceberg REST spec, so clients sending hyphens or uppercase hit a validation error. That error fell through to 500; it's client input, so map it to 400 BadRequestException across the namespace and table handlers. * iceberg: tighten name-validation error matching Match the validator's own phrasings (invalid/must/cannot) instead of a bare "namespace name"/"table name" substring, so an unrelated fault that happens to mention a name isn't misreported as a 400. Lowercase first to stay robust to message capitalization. |
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f50917224a |
fix(iceberg): default namespace location so fresh CTAS does not race metadata write (#9074) (#9246)
* fix(iceberg): advertise default namespace location for REST clients
Trino's REST catalog has two code paths for CREATE TABLE depending on
whether a table location can be resolved before the catalog call:
// TrinoRestCatalog.newCreateTableTransaction (Trino 479)
if (location.isEmpty()) {
return tableBuilder.create().newTransaction(); // EAGER: REST POST now
}
return tableBuilder.withLocation(...).createTransaction(); // DEFERRED
`tableLocation` resolves to null when the user does not pass
`location = '...'` AND `defaultTableLocation` returns null. The latter
happens whenever the namespace's `loadNamespaceMetadata` response has no
`location` property — and our handler returned exactly that.
In the eager branch Trino calls REST POST /v1/.../tables immediately, so
our handleCreateTable persists `<location>/metadata/v1.metadata.json` to
the filer. Trino's IcebergMetadata.beginCreateTable then runs
`fileSystem.listFiles(location).hasNext()` on the same path, finds the
metadata file we just wrote, and throws "Cannot create a table on a
non-empty location" — even on a brand-new schema and table name.
Synthesize a default `location` of `s3://<bucket>/<flattened-namespace>`
on Get/Create namespace responses when one is not stored. With a non-
null `defaultTableLocation`, Trino takes the deferred branch, picks a
unique `<namespace-location>/<table>-<UUID>` path (UUID added by the
standard `iceberg.unique-table-location=true` setting), and the empty-
location check passes. The actual REST POST is deferred to commit time,
so our metadata write lands alongside the data files Trino has already
produced.
Existing namespaces with an explicit `location` property are untouched —
the synthesis only kicks in when the property is absent.
Refs #9074
* test(trino): regression for fresh CREATE TABLE without explicit location
Exercises the follow-up scenario reported on issue #9074: a CREATE TABLE
on a brand-new schema and brand-new table name with NO `location = '...'`
clause, followed by a CTAS on top — exactly the SQL pattern from the
report. Before advertising a default namespace location, the first
CREATE TABLE failed with
Cannot create a table on a non-empty location:
s3://iceberg-tables/<schema>/<table>, set
'iceberg.unique-table-location=true' in your Iceberg catalog
properties to use unique table locations for every table.
even though the bucket was genuinely empty. The bug surfaced because our
handleCreateTable persists `<location>/metadata/v1.metadata.json` during
Trino's eager-create branch, and Trino's post-create listFiles
emptiness check then trips on the metadata file we just wrote.
The test asserts the CTAS succeeds AND the resulting table contains the
source rows, since the reporter saw the table get created with empty
data when the query failed.
Refs #9074
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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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761ec7da00 |
fix(iceberg): use dot separator for namespace paths instead of unit separator (#8960)
* fix(iceberg): use dot separator for namespace paths instead of unit separator The Iceberg REST Catalog handler was using \x1F (unit separator) to join multi-level namespaces when constructing S3 location and filer paths. The S3 Tables storage layer uses "." (dot) as the namespace separator, causing tables created via the Iceberg REST API to point to different paths than where S3 Tables actually stores them. Fixes #8959 * fix(iceberg): use dot separator in log messages for readable namespace output * fix(iceberg): use path.Join for S3 location path segments Use path.Join to construct the namespace/table path segments in fallback S3 locations for robustness and consistency with handleCreateTable. * test(iceberg): add multi-level namespace integration tests for Spark and Trino Add regression tests for #8959 that create a two-level namespace (e.g. "analytics.daily"), create a table under it, insert data, and query it back. This exercises the dot-separated namespace path construction and verifies that Spark/Trino can actually read the data at the S3 location returned by the Iceberg REST API. * fix(test): enable nested namespace in Trino Iceberg catalog config Trino requires `iceberg.rest-catalog.nested-namespace-enabled=true` to support multi-level namespaces. Without this, CREATE SCHEMA with a dotted name fails with "Nested namespace is not enabled for this catalog". * fix(test): parse Trino COUNT(*) output as integer instead of substring match Avoids false matches from strings.Contains(output, "3") by parsing the actual numeric result with strconv.Atoi and asserting equality. * fix(test): use separate Trino config for nested namespace test The nested-namespace-enabled=true setting in Trino changes how SHOW SCHEMAS works, causing "Internal error" for all tests sharing that catalog config. Move the flag to a dedicated config used only by TestTrinoMultiLevelNamespace. * fix(iceberg): support parent query parameter in ListNamespaces for nested namespaces Add handling for the Iceberg REST spec's `parent` query parameter in handleListNamespaces. When Trino has nested-namespace-enabled=true, it sends `GET /v1/namespaces?parent=<ns>` to list child namespaces. The parent value is decoded from the Iceberg unit separator format and converted to a dot-separated prefix for the S3 Tables layer. Also simplify TestTrinoMultiLevelNamespace to focus on namespace operations (create, list, show tables) rather than data operations, since Trino's REST catalog has a non-empty location check that conflicts with server-side metadata creation. * fix(test): expand Trino multi-level namespace test and merge config helpers - Expand TestTrinoMultiLevelNamespace to create a table with explicit location, insert rows, query them back, and verify the S3 file path contains the dot-separated namespace (not \x1F). This ensures the original #8959 bug would be caught by the Trino integration test. - Merge writeTrinoConfig and writeTrinoNestedNamespaceConfig into a single parameterized function using functional options. |
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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 |