[ https://issues.apache.org/jira/browse/SPARK-13335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15192570#comment-15192570 ]
Apache Spark commented on SPARK-13335: -------------------------------------- User 'mccheah' has created a pull request for this issue: https://github.com/apache/spark/pull/11688 > Optimize Data Frames collect_list and collect_set with declarative aggregates > ----------------------------------------------------------------------------- > > Key: SPARK-13335 > URL: https://issues.apache.org/jira/browse/SPARK-13335 > Project: Spark > Issue Type: Improvement > Components: SQL > Reporter: Matt Cheah > Priority: Minor > > Based on discussion from SPARK-9301, we can optimize collect_set and > collect_list with declarative aggregate expressions, as opposed to using Hive > UDAFs. The problem with Hive UDAFs is that they require converting the data > items from catalyst types back to external types repeatedly. We can get > around this by implementing declarative aggregate expressions. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org