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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:13:22 UTC

[jira] [Resolved] (SPARK-18728) Consider using Algebird's Aggregator instead of org.apache.spark.sql.expressions.Aggregator

     [ https://issues.apache.org/jira/browse/SPARK-18728?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-18728.
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    Resolution: Incomplete

> Consider using Algebird's Aggregator instead of org.apache.spark.sql.expressions.Aggregator
> -------------------------------------------------------------------------------------------
>
>                 Key: SPARK-18728
>                 URL: https://issues.apache.org/jira/browse/SPARK-18728
>             Project: Spark
>          Issue Type: Improvement
>            Reporter: Alex Levenson
>            Priority: Minor
>              Labels: bulk-closed
>
> Mansur (https://twitter.com/mansur_ashraf) pointed out this comment in spark's Aggregator here:
> "Based loosely on Aggregator from Algebird: https://github.com/twitter/algebird"
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/expressions/Aggregator.scala#L46
> Which got a few of us wondering, given that this API is still experimental, would you consider using algebird's Aggregator API directly instead?
> The algebird API is not coupled with any implementation details, and shouldn't have any extra dependencies.
> Are there any blockers to doing that?
> Thanks!
> Alex



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