You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/08/10 14:42:44 UTC

[GitHub] [spark] cloud-fan commented on pull request #28804: [SPARK-31973][SQL] Skip partial aggregates if grouping keys have high cardinality

cloud-fan commented on pull request #28804:
URL: https://github.com/apache/spark/pull/28804#issuecomment-671397804


   Can we have a short description of the approach in the PR description? Seems like we are making hash aggregate adaptive to do pass-through if it can't reduce data size in the first n rows.


----------------------------------------------------------------
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.

For queries about this service, please contact Infrastructure at:
users@infra.apache.org



---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org