Cheng Lian created SPARK-18186: ---------------------------------- Summary: 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: 2.0.1, 1.6.2 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