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  1. Spark
  2. SPARK-12227

Support drop multiple columns specified by Column class in DataFrame API

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Details

    • New Feature
    • Status: Closed
    • Major
    • Resolution: Won't Fix
    • 1.5.2
    • None
    • SQL
    • None

    Description

      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:

      def drop(colName: String)
def drop(col: Column)

      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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        is related to

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-11884 Drop multiple columns in the DataFrame API

        • Minor - Minor loss of function, or other problem where easy workaround is present.
        • Resolved
        links to

        Pull request #10218 [Github] Pull Request #10218 (HyukjinKwon)

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            Unassigned Unassigned Assign to me
            sunrui Sun Rui
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