[SPARK-12227] Support drop multiple columns specified by Column class in DataFrame API

• Type: New Feature
• Status: Closed
• Priority: Major
• Resolution: Won't Fix
• Affects Version/s: 1.5.2
• Component/s: SQL
• Assignee: Unassigned
• Reporter: Sun Rui
• Created: 09/Dec/15 03:05
• Updated: 12/Dec/22 18:10
• Resolved: 11/Dec/15 03:11

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.

Issue Links

• is related to: SPARK-11884 Drop multiple columns in the DataFrame API
• links to: [Github] Pull Request #10218 (HyukjinKwon)