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https://issues.apache.org/jira/browse/SPARK-15369?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15573287#comment-15573287
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holdenk commented on SPARK-15369:
---------------------------------
I can understand the hesitancy to adopt this long term - I wish we could
explore exposing this as a developer API instead but if that isn't something of
interest I'll take a look at adding this as a spark package (or adding to one
of the meta-spark packages like Bahir). In the meantime I'll do some more
poking with Arrow and see if its getting to a point where we could selectively
start using it in PySpark.
> 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.
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