GitHub user clockfly opened a pull request:
https://github.com/apache/spark/pull/13306
[SPARK-12988][SQL] Can't drop top level columns that contain dots
## What changes were proposed in this pull request?
This PR is work based on @dilipbiswal's
https://github.com/apache/spark/pull/10943
This PR fix problems like:
```
scala> Seq((1, 2)).toDF("a.b", "a.c").drop("a.b")
org.apache.spark.sql.AnalysisException: cannot resolve '`a.c`' given input
columns: [a.b, a.c];
```
`drop(columnName)` can only be used to drop top level column, so, we should
parse the column name literally with interpreting dot "."
We should also NOT interpret back tick "`", otherwise it is hard to
understand what
```
â```aaa```bbb``
```
actually means.
## How was this patch tested?
Unit tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/clockfly/spark fix_drop_column
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13306.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 #13306
----
commit 4ca70b9bf2ede04875e0101e5ae46d9103b0e722
Author: Sean Zhong <[email protected]>
Date: 2016-05-23T00:11:23Z
fix the drop column issue.
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