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holdenk commented on SPARK-15369: --------------------------------- So I'm probably going to be busy until after the 2.1 release (also trying to finish a book and have some talks in the middle) just but I'll take a look after that. > 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: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org