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From "Bryan Cutler (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-21404) Simple Vectorized Python UDFs using Arrow
Date Thu, 13 Jul 2017 17:07:00 GMT
Bryan Cutler created SPARK-21404:
------------------------------------

             Summary: Simple Vectorized Python UDFs using Arrow
                 Key: SPARK-21404
                 URL: https://issues.apache.org/jira/browse/SPARK-21404
             Project: Spark
          Issue Type: Improvement
          Components: PySpark, SQL
    Affects Versions: 2.3.0
            Reporter: Bryan Cutler


Using Arrow, Python UDFs can be evaluated in vectorized form by using the column data as Pandas.Series.
 This will offer a performance gain by computing the return column data in one operation instead
of iterating over each row to calculate a single element and appending to a list, as is currently
done.

This is designed as a preliminary step for the existing SPIP: Vectorized UDFs in Python SPARK-21190
that could be used as a basis for whatever expanded API is decided upon there.



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