rangadi commented on PR #39931: URL: https://github.com/apache/spark/pull/39931#issuecomment-1441388948
> It's not because the latter operator is dedup. It's because dedup operator gets two event time columns from an input DataFrame, and current late record filtering/eviction logic only handles one event time column per input DataFrame. @HeartSaVioR isn't the same for 'join + groupBy' too? I.e. `groupBy` stateful operation get two event time columns similar to `dedup()`. What is different here? -- 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] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
