Michal Monselise created SPARK-10246:
----------------------------------------
Summary: 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)]
"""
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
