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https://issues.apache.org/jira/browse/SPARK-12227?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15048126#comment-15048126
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Sun Rui commented on SPARK-12227:
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[~hyukjin.kwon] sure
> 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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