holdenk created SPARK-15369:
-------------------------------
Summary: 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
Transfering 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
