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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/02/13 03:21:00 UTC
[jira] [Resolved] (SPARK-26761) Vectorized gapply, Arrow
optimization in native R function execution
[ https://issues.apache.org/jira/browse/SPARK-26761?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-26761.
----------------------------------
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23746
[https://github.com/apache/spark/pull/23746]
> Vectorized gapply, Arrow optimization in native R function execution
> --------------------------------------------------------------------
>
> Key: SPARK-26761
> URL: https://issues.apache.org/jira/browse/SPARK-26761
> Project: Spark
> Issue Type: Sub-task
> Components: SparkR, SQL
> Affects Versions: 3.0.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Fix For: 3.0.0
>
>
> gapply is like groupped Pandas UDF. This can be optimized by Arrow likewise when send and receive data between JVM and R workers.
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