The test port allocation had a TOCTOU race where GetFreePort() would
open a listener, grab the port number, then immediately close it.
When called repeatedly, the OS could recycle a just-released port,
causing two services (e.g. Filer and S3) to be assigned the same port.
Replace per-call GetFreePort() with batch AllocatePorts() that holds
all listeners open until every port is obtained, matching the pattern
already used in test/volume_server/framework/cluster.go.
* 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
