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https://issues.apache.org/jira/browse/SPARK-12336?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-12336:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-12323
> Outer join using multiple columns results in wrong nullability
> --------------------------------------------------------------
>
> Key: SPARK-12336
> URL: https://issues.apache.org/jira/browse/SPARK-12336
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 1.4.1, 1.5.2, 1.6.0, 2.0.0
> Reporter: Cheng Lian
> Assignee: Apache Spark
>
> When joining two DataFrames using multiple columns, a temporary inner join is
> used to compute join output. Then a real join operator is created and
> projected. However, the final projection list is based on the inner join
> rather than real join operator. When the real join operator is an outer join,
> nullability of the final projection can be wrong, since outer join may alter
> nullability of its child plan(s).
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