[jira] [Commented] (SPARK-12227) Support drop multiple columns specified by Column class in DataFrame API

["Sun Rui (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-12227?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15047942#comment-15047942 ] 

Sun Rui commented on SPARK-12227:
---------------------------------

cc  [~tedyu@apache.org]

> Support drop multiple columns specified by Column class in DataFrame API
> ------------------------------------------------------------------------
>
>                 Key: SPARK-12227
>                 URL: https://issues.apache.org/jira/browse/SPARK-12227
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 1.5.2
>            Reporter: Sun Rui
>
> In SPARK-11884, dropping multiple columns specified by column names in the DataFrame API was supported.
> However, there are two drop variants for single column:
> {code}
> def drop(colName: String)
> def drop(col: Column)
> {code}
> From API parity's point of view, it would be better to also support dropping multiple columns specified by Column class.



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