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  1. Spark
  2. SPARK-15369

Investigate selectively using Jython for parts of PySpark

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Details

    • Improvement
    • Status: Closed
    • Minor
    • Resolution: Won't Fix
    • None
    • None
    • PySpark
    • None

    Description

      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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            Unassigned Unassigned
            holden Holden Karau
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