[
https://issues.apache.org/jira/browse/SPARK-15369?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15707421#comment-15707421
]
holdenk commented on SPARK-15369:
---------------------------------
That looks like a great start :) Probably the packaging is going to be a bit
trixie and it would probably make sense to have some testing as well but thanks
for getting started making a spark package for this.
> Investigate selectively using Jython for parts of PySpark
> ---------------------------------------------------------
>
> Key: SPARK-15369
> URL: https://issues.apache.org/jira/browse/SPARK-15369
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Reporter: holdenk
> Priority: Minor
>
> Transferring data from the JVM to the Python executor can be a substantial
> bottleneck. While Jython is not suitable for all UDFs or map functions, it
> may be suitable for some simple ones. We should investigate the option of
> using Jython to accelerate these small functions.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
