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Posted to issues@spark.apache.org by "Cheng Lian (JIRA)" <ji...@apache.org> on 2015/12/15 12:12:46 UTC

[jira] [Created] (SPARK-12336) Outer join using multiple columns results in wrong nullability

Cheng Lian created SPARK-12336:
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             Summary: 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: 1.5.2, 1.4.1, 1.6.0, 2.0.0
            Reporter: Cheng Lian
            Assignee: Cheng Lian


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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