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https://issues.apache.org/jira/browse/SPARK-24403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16494707#comment-16494707
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Felix Cheung commented on SPARK-24403:
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Reuse worker (daemon process) is actually supported and the default for SparkR.
The specific use case you have linked to R UDF might be a different issue all
together.
Please refer back to the original issue - don't open a new JIRA. Thanks.
> reuse r worker
> --------------
>
> Key: SPARK-24403
> URL: https://issues.apache.org/jira/browse/SPARK-24403
> Project: Spark
> Issue Type: Improvement
> Components: SparkR
> Affects Versions: 2.3.0
> Reporter: Deepansh
> Priority: Major
> Labels: sparkR
>
> Currently, SparkR doesn't support reuse of its workers, so broadcast and
> closure are transferred to workers each time. Can we add the idea of python
> worker reuse to SparkR also, to enhance its performance?
> performance issues reference
> [https://issues.apache.org/jira/browse/SPARK-23650]
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