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https://issues.apache.org/jira/browse/SPARK-18186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18186:
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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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