Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Fix udf-compiler scala2.13 internal return statements #11553
base: branch-24.12
Are you sure you want to change the base?
Fix udf-compiler scala2.13 internal return statements #11553
Changes from 1 commit
452b1ba
359305b
d26258b
5bbdc61
5b0c988
File filter
Filter by extension
Conversations
Jump to
There are no files selected for viewing
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Curious why we need to disable ANSI here? I assume this is for Spark 4.0, but then I would expect there to be corresponding negative tests where we are testing that we do not replace UDFs because of ANSI expression semantics. Seems like we need a comment and/or pointer to a tracking issue here.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
correct that is due to spark 4, let me file something at least with the failures I see with ansi enabled.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Filed #11633 to address as a separate issue. One thing that is nice about this failure is that it is detected at plan time, and we won't cause a corruption.