[jira] [Comment Edited] (SPARK-12225) Support adding or replacing multiple columns at once in DataFrame API

["Xiao Li (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-12225?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15048059#comment-15048059 ] 

Xiao Li edited comment on SPARK-12225 at 12/9/15 5:21 AM:
----------------------------------------------------------

This is related to the changes on the external APIs. Need to collect more ideas before starting it. 

Do you like the following interfaces? [~marmbrus] [~rxin] [~sunrui]
{code}
  def withColumn(columns: Map[String, Column]): DataFrame
  def withColumnRenamed(columns: Map[String, String]): DataFrame
{code}

Then, how about the multi-column support of withColumn if having metadata? 
{code}
  def withColumn(colName: String, col: Column, metadata: Metadata): DataFrame
{code}



was (Author: smilegator):
This is related to the changes on the external APIs. Need to collect more ideas before starting it. 

Do you like the following interfaces? [~marmbrus] [~rxin] [~sunrui]
{code}
  def withColumn(columns: Map[String, Column]): DataFrame
  def withColumnRenamed(columns: Map[String, String]): DataFrame
{code}

Then, how about the multi-column support of withColumn if having metadata? 
{code}
  def withColumn(colName: String, col: Column, metadata: Metadata): 
{code}


> Support adding or replacing multiple columns at once in DataFrame API
> ---------------------------------------------------------------------
>
>                 Key: SPARK-12225
>                 URL: https://issues.apache.org/jira/browse/SPARK-12225
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 1.5.2
>            Reporter: Sun Rui
>
> Currently, withColumn() method of DataFrame supports adding or replacing only single column. It would be convenient to support adding or replacing multiple columns at once.
> Also withColumnRenamed() supports renaming only single column.It would also be convenient to support renaming multiple columns at once.



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