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https://issues.apache.org/jira/browse/SPARK-10246?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu closed SPARK-10246.
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Resolution: Not A Problem
> Join in PySpark using a list of column names
> --------------------------------------------
>
> Key: SPARK-10246
> URL: https://issues.apache.org/jira/browse/SPARK-10246
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Reporter: Michal Monselise
>
> Currently, there are two supported methods to perform a join: join condition
> and one column name.
> The documentation specifies that the join function can accept a list of
> conditions or a list of column names but neither are currently supported.
> This is discussed in issue SPARK-7197 as well.
> Functionality should match the documentation which currently contains an
> example in /spark/python/pyspark/sql/dataframe.py line 560:
> >>> df.join(df4, ['name', 'age']).select(df.name, df.age).collect()
> [Row(name=u'Bob', age=5)]
> """
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