auroflow opened a new pull request, #29433: URL: https://github.com/apache/flink/pull/29433
## What is the purpose of the change This PR implements [FLINK-40193](https://issues.apache.org/jira/browse/FLINK-40193) by adding `DataFrame.join_lateral`. ## Brief change log - Add `join_lateral(table_function_call, *, on=None, ignore_empty=True)` for DataFrame UDTF calls and aliased Table API expressions. - Add API documentation and examples. - Extend UDTF tests with planning validation and execution coverage. ## Verifying this change This change added tests and can be verified as follows: - Passed all 57 tests in `pyflink.dataframe.tests.test_udtf` and 8 targeted Table API regression tests. - Passed flake8, mypy for the changed source files, and `git diff --check`. ## Does this pull request potentially affect one of the following parts: - Dependencies (does it add or upgrade a dependency): no - The public API, i.e., is any changed class annotated with `@Public(Evolving)`: yes - The serializers: no - The runtime per-record code paths (performance sensitive): no - Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Kubernetes/Yarn, ZooKeeper: no - The S3 file system connector: no ## Documentation - Does this pull request introduce a new feature? yes - If yes, how is the feature documented? docs — Python API reference and docstrings with usage examples --- ##### Was generative AI tooling used to co-author this PR? - [X] Yes (please specify the tool below) Generated-by: Codex (GPT-6) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
