[jira] [Commented] (SPARK-23465) Dataset.withAllColumnsRenamed should map all column names to a new one

["Mihaly Toth (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-23465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16369275#comment-16369275 ] 

Mihaly Toth commented on SPARK-23465:
-------------------------------------

I have started working on this.

> Dataset.withAllColumnsRenamed should map all column names to a new one
> ----------------------------------------------------------------------
>
>                 Key: SPARK-23465
>                 URL: https://issues.apache.org/jira/browse/SPARK-23465
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.3.1
>            Reporter: Mihaly Toth
>            Priority: Minor
>
> Currently one can only rename a column only one by one using {{withColumnRenamed()}} function. When one would like to rename all or most of the columns it would be easier to specify an algorithm for mapping from the old to the new name (like prefixing) than iterating over all the fields.
> Example usage is joining to a Dataset with the same or similar schema (special case is self joining) where the names are the same or overlapping. Such a joined Dataset would fail at {{saveAsTable()}}
> With the new function usage would be easy like that:
> {code:java}
> ds.withAllColumnsRenamed("prefix" + _)
> {code}



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