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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/02/13 01:20:00 UTC
[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.
[ 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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