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https://issues.apache.org/jira/browse/SPARK-13335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-13335.
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Resolution: Duplicate
I am resolving this per committer's comments -
https://github.com/apache/spark/pull/12874#issuecomment-216632661 and
https://github.com/apache/spark/pull/11688#issuecomment-220496380
Please reopen this if I misunderstood this.
> Optimize Data Frames collect_list and collect_set with declarative aggregates
> -----------------------------------------------------------------------------
>
> Key: SPARK-13335
> URL: https://issues.apache.org/jira/browse/SPARK-13335
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Matt Cheah
> Priority: Minor
>
> Based on discussion from SPARK-9301, we can optimize collect_set and
> collect_list with declarative aggregate expressions, as opposed to using Hive
> UDAFs. The problem with Hive UDAFs is that they require converting the data
> items from catalyst types back to external types repeatedly. We can get
> around this by implementing declarative aggregate expressions.
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