[
https://issues.apache.org/jira/browse/SPARK-9726?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust resolved SPARK-9726.
-------------------------------------
Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 8016
[https://github.com/apache/spark/pull/8016]
> 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
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]