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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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Apache Spark reassigned SPARK-12336:
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    Assignee: Apache Spark  (was: Cheng Lian)

> 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: Bug
>          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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