SulphurFH opened a new pull request, #29201: URL: https://github.com/apache/flink/pull/29201
## What is the purpose of the change Add regular relational join support to the PyFlink DataFrame API as proposed in FLINK-40419. ## Brief change log - Support inner, left, right, full/outer, semi, anti, and cross joins. - Support shared, differently named, computed, and expression-based join keys. - Validate invalid argument combinations and duplicate output columns. - Add planner and batch execution tests. ## Verifying this change This change added tests and was verified against a locally built Flink 2.4-SNAPSHOT distribution: - `DataFrameJoinTests`: 9 passed. - Join batch integration tests: 4 passed. - Full `pyflink.dataframe` test suite: 351 passed, 1 skipped. ## 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? Python API docstring --- ##### 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]
