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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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