[ https://issues.apache.org/jira/browse/SPARK-12227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-12227: ------------------------------------ Assignee: 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 > Assignee: Apache Spark > > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org