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Apache Spark commented on SPARK-18186: -------------------------------------- User 'liancheng' has created a pull request for this issue: https://github.com/apache/spark/pull/15703 > Migrate HiveUDAFFunction to TypedImperativeAggregate for partial aggregation > support > ------------------------------------------------------------------------------------ > > Key: SPARK-18186 > URL: https://issues.apache.org/jira/browse/SPARK-18186 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 1.6.2, 2.0.1 > Reporter: Cheng Lian > Assignee: Cheng Lian > > Currently, Hive UDAFs in Spark SQL don't support partial aggregation. Any > query involving any Hive UDAFs has to fall back to {{SortAggregateExec}} > without partial aggregation. > This issue can be fixed by migrating {{HiveUDAFFunction}} to > {{TypedImperativeAggregate}}, which already provides partial aggregation > support for aggregate functions that may use arbitrary Java objects as > aggregation states. -- 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