GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/10218
[SPARK-12227][SQL] Support drop multiple columns specified by Column class
in DataFrame API
https://issues.apache.org/jira/browse/SPARK-12227
In this PR, I added the support to drop multiple columns by reference. This
was only supported with the string names.
As `varargs` does not recognise the type for multuple variables, I changed
`drop(colNames: String*)` to `drop(colName: String, colNames: String*)`
correspondingly to `orderBy(sortCol: String, sortCols: String*)` and
`sort(sortCol: String, sortCols: String*)`.
Accordingly, the call in `drop(colName: String)` is changed.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark SPARK-12227
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/10218.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #10218
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commit cae52921a1491f2dee9d130aaeadc21b7e9cb168
Author: hyukjinkwon <[email protected]>
Date: 2015-12-09T06:25:20Z
Support to drop multiple columns by reference
commit 22235269995f5c525da0d9aef948803883ca91ae
Author: hyukjinkwon <[email protected]>
Date: 2015-12-09T06:36:58Z
Change comments
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