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Posted to issues@spark.apache.org by "Brennan Ashton (JIRA)" <ji...@apache.org> on 2015/08/07 03:47:46 UTC
[jira] [Created] (SPARK-9726) PySpark Regression: DataFrame join no
longer accepts None as join expression
Brennan Ashton created SPARK-9726:
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Summary: 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
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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