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Bumps [datafusion](https://github.com/apache/datafusion-python) from 51.0.0 to 52.3.0. - [Changelog](https://github.com/apache/datafusion-python/blob/main/CHANGELOG.md) - [Commits](apache/datafusion-python@51.0.0...52.3.0) --- updated-dependencies: - dependency-name: datafusion dependency-version: 52.3.0 dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com>
…berg-core release
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 updates dependency version constraints for Highlights
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Code Review
This pull request updates the datafusion dependency to allow versions up to <53 and pyiceberg-core to <0.10.0. It also configures Dependabot to ignore future updates for datafusion, suggesting a shift to manual management for this dependency. The changes are straightforward, but I've suggested adding a comment to the dependabot.yml file to document the reason for ignoring datafusion, which will improve the maintainability of the dependency management configuration.
| interval: "weekly" | ||
| open-pull-requests-limit: 50 | ||
| ignore: | ||
| - dependency-name: "datafusion" |
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For better maintainability, it's good practice to add a comment explaining why a dependency is being ignored. This helps other developers understand the reasoning in the future, for example, that updates for this dependency are handled manually.
- dependency-name: "datafusion" # Manually managed to control updates across major versions
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Rationale for this change
Are these changes tested?
Are there any user-facing changes?