WriteToJson - force num_shards#38484
Conversation
|
/gemini review |
There was a problem hiding this comment.
Code Review
This pull request updates the WriteToFiles implementation in the Beam DataFrame IO to set max_writers_per_bundle to 0 when num_shards is specified. The reviewer identified a bug where max_writers_per_bundle is not removed from the keyword arguments, which could lead to a TypeError in the underlying pandas writer. The feedback also suggests allowing users to override the default max_writers_per_bundle value for better flexibility and provides a code snippet to address these issues.
Summary of ChangesHello, 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 improves the reliability of file writing operations in the Apache Beam Python SDK. By modifying how Highlights
New Features🧠 You can now enable Memory (public preview) to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console. Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize the Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counterproductive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for GitHub and other Google products, sign up here. Footnotes
|
There was a problem hiding this comment.
Code Review
This pull request updates the expand method in sdks/python/apache_beam/dataframe/io.py to extract and pass num_shards and max_writers_per_bundle to the WriteToFiles transform. Feedback suggests using a local copy of self.kwargs instead of mutating the instance attribute directly to ensure the transform remains idempotent and safe for reuse. A code suggestion was also provided to simplify the logic and correctly handle the default value for max_writers_per_bundle when sharding is specified.
de998b6 to
b39a73f
Compare
Thank you for your contribution! Follow this checklist to help us incorporate your contribution quickly and easily:
addresses #123), if applicable. This will automatically add a link to the pull request in the issue. If you would like the issue to automatically close on merging the pull request, commentfixes #<ISSUE NUMBER>instead.CHANGES.mdwith noteworthy changes.See the Contributor Guide for more tips on how to make review process smoother.
To check the build health, please visit https://github.com/apache/beam/blob/master/.test-infra/BUILD_STATUS.md
GitHub Actions Tests Status (on master branch)
See CI.md for more information about GitHub Actions CI or the workflows README to see a list of phrases to trigger workflows.