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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-16651) No exception using DataFrame.withColumnRenamed when existing column doesn't exist
Date Wed, 20 Jul 2016 18:03:20 GMT

     [ https://issues.apache.org/jira/browse/SPARK-16651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-16651:
------------------------------------

    Assignee: Apache Spark

> No exception using DataFrame.withColumnRenamed when existing column doesn't exist
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-16651
>                 URL: https://issues.apache.org/jira/browse/SPARK-16651
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.5.0
>            Reporter: Tom Phillips
>            Assignee: Apache Spark
>
> The {{withColumnRenamed}} method does not raise an exception when the existing column
does not exist in the dataframe.
> Example:
> {code}
> In [4]: df.show()
> +---+-----+
> |age| name|
> +---+-----+
> |  1|Alice|
> +---+-----+
> In [5]: df = df.withColumnRenamed('dob', 'date_of_birth')
> In [6]: df.show()
> +---+-----+
> |age| name|
> +---+-----+
> |  1|Alice|
> +---+-----+
> {code}



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