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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/12/09 07:39:11 UTC
[jira] [Assigned] (SPARK-12227) Support drop multiple columns
specified by Column class in DataFrame API
[ https://issues.apache.org/jira/browse/SPARK-12227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-12227:
------------------------------------
Assignee: (was: Apache Spark)
> 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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