S3 tables support #597
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S3 tables support #597
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- Create dedicated test directory for S3 tables - Add comprehensive test suite to understand S3 tables compatibility - Configure separate GitHub Actions workflow for S3 tables tests - Update tox.ini to include s3-tables test environment - Add environment variable configuration for S3 tables bucket - Update README with S3 tables testing documentation This test-first approach will help us understand: - Which dbt features work with S3 tables out-of-the-box - What configurations are required for S3 tables - Which features need minimal adapter modifications
✅ Key Achievements: - Auto-generate unique S3 tables namespaces for each test class - Automatic namespace creation before tests run - Automatic namespace cleanup after tests complete - Proper S3 tables bucket ARN parsing from environment variables - Clean separation of S3 data cleanup and S3 tables namespace cleanup 🧪 Test Results: - Namespace creation: ✅ WORKING - S3 tables integration: ✅ WORKING - Current blocker: Lake Formation permissions need configuration 📋 Next Steps: - Configure Lake Formation permissions for S3 tables - Test CTAS operations once permissions are resolved - Document S3 tables configuration requirements
- Add 's3tables' file_format option alongside existing formats (hudi, iceberg, delta) - Skip LOCATION clause for S3 Tables (automatically managed) - Skip USING clause for S3 Tables (format automatically handled) - Treat S3 Tables like Iceberg for CREATE OR REPLACE TABLE operations - Update test model to use s3tables format - Resolves LOCATION clause issues in S3 Tables integration
- Add PURGE support for S3 Tables in drop_relation and drop_view macros - S3 managed Iceberg tables require PURGE when dropped - Update test to use DROP TABLE ... PURGE for direct table cleanup - Resolves 'Cannot drop table: S3 managed Iceberg table must be purged' errors
- S3 Tables doesn't support CREATE OR REPLACE VIEW with glue_catalog - Change view_on_s3_table from materialized='view' to materialized='table' - Add file_format='s3tables' to maintain S3 Tables compatibility - Integration test now passes successfully
- Add 's3tables' to accepted file formats in validation macro - Update incremental test model to use file_format='s3tables' - Incremental models now work with S3 Tables format - Resolves validation error for s3tables file format
… test - Add detailed S3 Tables section to README with configuration examples - Include profile configuration with required Spark settings - Document supported operations, features, and requirements - Update file_format table to include s3tables option - Comment out TestS3TablesIncremental class for future investigation - S3 Tables implementation is now complete with full documentation
…configuration - Add experimental warning to S3 Tables section - Use exact Spark configuration from conftest.py including glue.id parameter - Include datalake_formats: iceberg requirement - Maintain proper configuration order and formatting - Clarify that S3 Tables support is experimental feature
…docs - Streamline S3 Tables documentation by removing redundant sections - Keep essential configuration, examples, and requirements - Maintain clean and focused documentation structure
- Add entry for experimental Amazon S3 Tables support - Document new file_format='s3tables' option - Maintain consistent formatting with existing entries
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- Remove conftest_minimal.py and conftest_original.py - Clean up test directory by removing temporary/backup files - Keep only the main conftest.py file
moomindani
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Failure
- Add missing audience: sts.amazonaws.com parameter - Ensure proper AWS credentials configuration for S3 Tables tests - Fix GitHub Actions integration test setup
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- Remove 'environment: integration-test' to allow access to repository secrets - Fix issue where secrets were not accessible due to environment restrictions - Allow workflow to use repository-level secrets directly
- Use pull_request_target with labeled trigger like integration and python model tests - Add label condition: enable-functional-tests - Add proper permissions, concurrency, and matrix strategy - Use Python 3.13 and proper checkout with PR head SHA - Add DBT_AWS_ACCOUNT environment variable - Match structure and naming conventions of other workflows
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- Add s3-tables-tests-main job for pushes to main branch - Match integration workflow pattern with separate PR and main jobs - Ensure S3 Tables tests run on both labeled PRs and main branch pushes - Use consistent job naming and structure
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- Add DBT_S3_LOCATION and DBT_S3_TABLES_BUCKET to both PR and main jobs - Enable S3 Tables tests to run as part of integration test suite - Temporary solution until dedicated S3 Tables workflow is available in main repo
moomindani
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- Remove S3 Tables environment variables from integration workflow - Keep integration workflow clean and focused on integration tests only - S3 Tables tests should have their own dedicated workflow
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- Add debug prints to show environment variables and parameters - Add detailed exception logging with full traceback - This will help identify why Lake Formation permissions aren't being granted in CI
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- Add null check for response.get('description') before iterating
- This prevents TypeError when S3 tables return response without description field
- Fixes the CI test failures with NoneType iteration error
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- Add missing return [] in exception handler - Prevents returning None when get_tables API fails for S3 tables - Fixes TypeError: 'NoneType' object is not iterable in set_relations_cache
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- Check file_format config to detect S3 Tables instead of schema prefix
- Use CatalogId parameter with S3 Tables bucket resource identifier
- Format: {account_id}:s3tablescatalog/{bucket_name} from DBT_S3_TABLES_BUCKET
- Fixes InternalServiceException by using correct S3 Tables API calls
moomindani
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…f accessing model_config
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resolves #581
Description
This PR is to support S3 tables.
Checklist
CHANGELOG.mdand added information about my change to the "dbt-glue next" section.By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.