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Apache Spark commented on SPARK-12227: -------------------------------------- User 'HyukjinKwon' has created a pull request for this issue: https://github.com/apache/spark/pull/10218 > 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. -- 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