[jira] [Updated] (SPARK-16651) Document no exception using DataFrame.withColumnRenamed when existing column doesn't exist

["Sean Owen (JIRA)" <ji...@apache.org>]

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

Sean Owen updated SPARK-16651:
------------------------------
       Assignee: Dongjoon Hyun
       Priority: Minor  (was: Major)
    Component/s: Documentation
     Issue Type: Improvement  (was: Bug)
        Summary: Document no exception using DataFrame.withColumnRenamed when existing column doesn't exist  (was: No exception using DataFrame.withColumnRenamed when existing column doesn't exist)

> Document 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: Improvement
>          Components: Documentation, PySpark
>    Affects Versions: 1.5.0
>            Reporter: Tom Phillips
>            Assignee: Dongjoon Hyun
>            Priority: Minor
>
> 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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