atronchi commented on PR #18990: URL: https://github.com/apache/spark/pull/18990#issuecomment-1467104804
This issue appears to remain at large for the dataframe API which is used more broadly than RDD. What would it take to extend the fix to the dataframe API? I verified this on Spark 3.2 using `df.repartition(1024)` on a dataframe with ~200k rows, which resulted in almost 30% EMPTY partitions, and the below shown skew of the remaining non-empty ones. <img width="419" alt="Screenshot 2023-03-13 at 10 09 24 AM" src="https://user-images.githubusercontent.com/4906224/224852367-a33564c8-21f2-4daa-8da2-cbca0389594a.png"> -- 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: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org