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Posted to issues@spark.apache.org by "Dilip Biswal (JIRA)" <ji...@apache.org> on 2019/02/13 01:13:00 UTC

[jira] [Created] (SPARK-26864) Query may return incorrect result when python udf is used as a join condition and the udf uses attributes from both legs of left semi join.

Dilip Biswal created SPARK-26864:
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             Summary: Query may return incorrect result when python udf is used as a join condition and the udf uses attributes from both legs of left semi join.
                 Key: SPARK-26864
                 URL: https://issues.apache.org/jira/browse/SPARK-26864
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.4.0
            Reporter: Dilip Biswal


In SPARK-25314, we supported the scenario of having a python UDF that refers to attributes from both legs of a join condition by rewriting
the plan to convert an inner join or left semi join to a filter over a cross join. In case of left semi join, this transformation may
cause incorrect results when the right leg of join condition produces duplicate rows based on the join condition.



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