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