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Posted to issues@spark.apache.org by "Bryan Cutler (JIRA)" <ji...@apache.org> on 2017/07/13 17:07:00 UTC

[jira] [Created] (SPARK-21404) Simple Vectorized Python UDFs using Arrow

Bryan Cutler created SPARK-21404:
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             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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