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https://issues.apache.org/jira/browse/SPARK-24853?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-24853.
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    Resolution: Won't Fix

> Support Column type for withColumn and withColumnRenamed apis
> -------------------------------------------------------------
>
>                 Key: SPARK-24853
>                 URL: https://issues.apache.org/jira/browse/SPARK-24853
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.2.2
>            Reporter: nirav patel
>            Priority: Major
>
> Can we add overloaded version of withColumn or withColumnRenamed that accept 
> Column type instead of String? That way I can specify FQN in case when there 
> is duplicate column names. e.g. if I have 2 columns with same name as a 
> result of join and I want to rename one of the field I can do it with this 
> new API.
>  
> This would be similar to Drop api which supports both String and Column type.
>  
> def
> withColumn(colName: Column, col: Column): DataFrame
> Returns a new Dataset by adding a column or replacing the existing column 
> that has the same name.
>  
> def
> withColumnRenamed(existingName: Column, newName: Column): DataFrame
> Returns a new Dataset with a column renamed.
>  
>  
>  
> I think there should also be this one:
>  
> def
> withColumnRenamed(existingName: *Column*, newName: *Column*): DataFrame
> Returns a new Dataset with a column renamed.
>  



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