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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:35:33 UTC

[jira] [Resolved] (SPARK-11028) When planning queries without partial aggregation support, we should try to use TungstenAggregate.

     [ https://issues.apache.org/jira/browse/SPARK-11028?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-11028.
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    Resolution: Incomplete

> When planning queries without partial aggregation support, we should try to use TungstenAggregate.
> --------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-11028
>                 URL: https://issues.apache.org/jira/browse/SPARK-11028
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Yin Huai
>            Priority: Major
>              Labels: bulk-closed
>
> With SPARK-11017, we can run DeclarativeAggregate Functions in TungstenAggregate. So, when we plan queries having functions that do not support partial aggregation, we can use TungstenAggregate whenever possible. The reason that we only use SortBasedAggregate is that HiveUDAF is the only function that does not support partial aggregation and it is a DeclarativeAggregate function.



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