* Fix STS InvalidAccessKeyId and request body consumption in Lakekeeper integration test
* Remove debug prints
* Add Lakekeeper integration tests to CI
* Fix connection refused in CI by binding to 0.0.0.0
* Add timeout to docker run in Lakekeeper integration test
* Update weed/s3api/auth_credentials.go
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Fix STS AssumeRole with POST body param and add integration test
* Add STS integration test to CI workflow
* Address code review feedback: fix HPP vulnerability and style issues
* Refactor: address code review feedback
- Fix HTTP Parameter Pollution vulnerability in UnifiedPostHandler
- Refactor permission check logic for better readability
- Extract test helpers to testutil/docker.go to reduce duplication
- Clean up imports and simplify context setting
* Add SigV4-style test variant for AssumeRole POST body routing
- Added ActionInBodyWithSigV4Style test case to validate real-world scenario
- Test confirms routing works correctly for AWS SigV4-signed requests
- Addresses code review feedback about testing with SigV4 signatures
* Fix: always set identity in context when non-nil
- Ensure UnifiedPostHandler always calls SetIdentityInContext when identity is non-nil
- Only call SetIdentityNameInContext when identity.Name is non-empty
- This ensures downstream handlers (embeddedIam.DoActions) always have access to identity
- Addresses potential issue where empty identity.Name would skip context setting
* Add Spark Iceberg catalog integration tests and CI support
Implement comprehensive integration tests for Spark with SeaweedFS Iceberg REST catalog:
- Basic CRUD operations (Create, Read, Update, Delete) on Iceberg tables
- Namespace (database) management
- Data insertion, querying, and deletion
- Time travel capabilities via snapshot versioning
- Compatible with SeaweedFS S3 and Iceberg REST endpoints
Tests mirror the structure of existing Trino integration tests but use Spark's
Python SQL API and PySpark for testing.
Add GitHub Actions CI job for spark-iceberg-catalog-tests in s3-tables-tests.yml
to automatically run Spark integration tests on pull requests.
* fmt
* Fix Spark integration tests - code review feedback
* go mod tidy
* Add go mod tidy step to integration test jobs
Add 'go mod tidy' step before test runs for all integration test jobs:
- s3-tables-tests
- iceberg-catalog-tests
- trino-iceberg-catalog-tests
- spark-iceberg-catalog-tests
This ensures dependencies are clean before running tests.
* Fix remaining Spark operations test issues
Address final code review comments:
Setup & Initialization:
- Add waitForSparkReady() helper function that polls Spark readiness
with backoff instead of hardcoded 10-second sleep
- Extract setupSparkTestEnv() helper to reduce boilerplate duplication
between TestSparkCatalogBasicOperations and TestSparkTimeTravel
- Both tests now use helpers for consistent, reliable setup
Assertions & Validation:
- Make setup-critical operations (namespace, table creation, initial
insert) use t.Fatalf instead of t.Errorf to fail fast
- Validate setupSQL output in TestSparkTimeTravel and fail if not
'Setup complete'
- Add validation after second INSERT in TestSparkTimeTravel:
verify row count increased to 2 before time travel test
- Add context to error messages with namespace and tableName params
Code Quality:
- Remove code duplication between test functions
- All critical paths now properly validated
- Consistent error handling throughout
* Fix go vet errors in S3 Tables tests
Fixes:
1. setup_test.go (Spark):
- Add missing import: github.com/testcontainers/testcontainers-go/wait
- Use wait.ForLog instead of undefined testcontainers.NewLogStrategy
- Remove unused strings import
2. trino_catalog_test.go:
- Use net.JoinHostPort instead of fmt.Sprintf for address formatting
- Properly handles IPv6 addresses by wrapping them in brackets
* Use weed mini for simpler SeaweedFS startup
Replace complex multi-process startup (master, volume, filer, s3)
with single 'weed mini' command that starts all services together.
Benefits:
- Simpler, more reliable startup
- Single weed mini process vs 4 separate processes
- Automatic coordination between components
- Better port management with no manual coordination
Changes:
- Remove separate master, volume, filer process startup
- Use weed mini with -master.port, -filer.port, -s3.port flags
- Keep Iceberg REST as separate service (still needed)
- Increase timeout to 15s for port readiness (weed mini startup)
- Remove volumePort and filerProcess fields from TestEnvironment
- Simplify cleanup to only handle two processes (mini, iceberg rest)
* Clean up dead code and temp directory leaks
Fixes:
1. Remove dead s3Process field and cleanup:
- weed mini bundles S3 gateway, no separate process needed
- Removed s3Process field from TestEnvironment
- Removed unnecessary s3Process cleanup code
2. Fix temp config directory leak:
- Add sparkConfigDir field to TestEnvironment
- Store returned configDir in writeSparkConfig
- Clean up sparkConfigDir in Cleanup() with os.RemoveAll
- Prevents accumulation of temp directories in test runs
3. Simplify Cleanup:
- Now handles only necessary processes (weed mini, iceberg rest)
- Removes both seaweedfsDataDir and sparkConfigDir
- Cleaner shutdown sequence
* Use weed mini's built-in Iceberg REST and fix python binary
Changes:
- Add -s3.port.iceberg flag to weed mini for built-in Iceberg REST Catalog
- Remove separate 'weed server' process for Iceberg REST
- Remove icebergRestProcess field from TestEnvironment
- Simplify Cleanup() to only manage weed mini + Spark
- Add port readiness check for iceberg REST from weed mini
- Set Spark container Cmd to '/bin/sh -c sleep 3600' to keep it running
- Change python to python3 in container.Exec calls
This simplifies to truly one all-in-one weed mini process (master, filer, s3,
iceberg-rest) plus just the Spark container.
* go fmt
* clean up
* bind on a non-loopback IP for container access, aligned Iceberg metadata saves/locations with table locations, and reworked Spark time travel to use TIMESTAMP AS OF with safe timestamp extraction.
* shared mini start
* Fixed internal directory creation under /buckets so .objects paths can auto-create without failing bucket-name validation, which restores table bucket object writes
* fix path
Updated table bucket objects to write under `/buckets/<bucket>` and saved Iceberg metadata there, adjusting Spark time-travel timestamp to committed_at +1s. Rebuilt the weed binary (`go
install ./weed`) and confirmed passing tests for Spark and Trino with focused test commands.
* Updated table bucket creation to stop creating /buckets/.objects and switched Trino REST warehouse to s3://<bucket> to match Iceberg layout.
* Stabilize S3Tables integration tests
* Fix timestamp extraction and remove dead code in bucketDir
* Use table bucket as warehouse in s3tables tests
* Update trino_blog_operations_test.go
* adds the CASCADE option to handle any remaining table metadata/files in the schema directory
* skip namespace not empty
* 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
* 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
* 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
Update all action refs to use pinned commit SHAs instead of floating tags:
- actions/checkout: @v6 → @8e8c483 (v4)
- actions/setup-go: @v6 → @0c52d54 (v5)
- actions/upload-artifact: @v6 → @65d8626 (v4)
Pinned SHAs improve reproducibility and reduce supply chain risk by
preventing accidental or malicious changes in action releases. Aligns
with repository conventions used in other workflows (e.g., go.yml).
The workflow was failing because it was running inside 'weed' directory,
but the tests are at the repository root. Removed working-directory
default and updated relative paths to weed source.
- Create new workflow for S3 Tables integration testing
- Add build verification job for s3tables package and s3api integration
- Add format checking for S3 Tables code
- Add go vet checks for code quality
- Workflow runs on all pull requests
- Includes test output logging and artifact upload on failure
