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Fix timestamp issue in a yaml pipeline that calls SQL transform #35789
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Summary of Changes
Hello @shunping, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request addresses an issue related to timestamp handling within YAML pipelines that incorporate SQL transforms. I've updated the schema generation logic to correctly resolve field types, particularly for timestamps, by prioritizing cached schema information. Additionally, I've introduced a new test case to validate the proper functioning of the CURRENT_TIMESTAMP SQL function within these YAML-defined pipelines, ensuring that timestamp values are correctly processed and propagated.
Highlights
- Schema Type Resolution: I've updated the named_fields_to_schema function in sdks/python/apache_beam/typehints/schemas.py to first check for existing type information in a cached schema before inferring types from Python typings. This ensures that previously defined schema types, such as those for timestamps, are correctly preserved.
- SQL Timestamp Test Case: I've added a new test pipeline to sdks/python/apache_beam/yaml/tests/sql.yaml that demonstrates the use of CURRENT_TIMESTAMP within a SQL transform. This test verifies that timestamps generated by SQL are correctly handled within the YAML pipeline.
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Assigning reviewers: R: @jrmccluskey for label python. Note: If you would like to opt out of this review, comment Available commands:
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Thanks @Abacn for reviewing! |
(cherry picked from commit ac2706a)
Fix an issue when running the following pipeline:
Internal bug #434240117
Related issues: