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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/10/31 22:51:58 UTC
[jira] [Assigned] (SPARK-18186) Migrate HiveUDAFFunction to
TypedImperativeAggregate for partial aggregation support
[ https://issues.apache.org/jira/browse/SPARK-18186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-18186:
------------------------------------
Assignee: Cheng Lian (was: Apache Spark)
> 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.
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