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Posted to issues@spark.apache.org by "Yin Huai (JIRA)" <ji...@apache.org> on 2015/10/09 18:54:26 UTC

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

Yin Huai created SPARK-11028:
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             Summary: 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


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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