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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-9726) PySpark Regression: DataFrame join no longer accepts None as join expression
Date Fri, 14 Aug 2015 10:12:46 GMT

     [ https://issues.apache.org/jira/browse/SPARK-9726?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen updated SPARK-9726:
-----------------------------
    Assignee: Brennan Ashton

> PySpark Regression: DataFrame join no longer accepts None as join expression
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-9726
>                 URL: https://issues.apache.org/jira/browse/SPARK-9726
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.5.0
>            Reporter: Brennan Ashton
>            Assignee: Brennan Ashton
>             Fix For: 1.5.0
>
>
> The patch to add methods to support equi-join broke joins where on is None.  Rather than
ending the branch  with  jdf = self._jdf.join(other._jdf)  it continues to another branch
where it fails because you cannot take the index of None.    if isinstance(on[0], basestring):
> This was valid in 1.4.1:
> df3 = df.join(df2,on=None) 
> This is a trivial fix in the attached PR.



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