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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (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.
Date Wed, 13 Feb 2019 01:20:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-26864?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-26864:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>            Priority: Major
>
> 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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