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Marius Van Niekerk commented on SPARK-15369: -------------------------------------------- Oh yeah, once we have a pip installable spark it should be pretty easy testing this with some docker pieces with travis. Basic idea is to convert the benchmarks into an integration test. > 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