GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/14527
[SPARK-16938][SQL] `dropDuplicate` should not raise exception on qualified
column names
## What changes were proposed in this pull request?
This PR fixes `dropDuplicate` not to raise exceptions on qualified column
names. This bug is recently introduced by
[SPARK-15230](https://issues.apache.org/jira/browse/SPARK-15230) with commit
https://github.com/apache/spark/commit/925884a612dd88beaddf555c74d90856ab040ec7
.
**Reported Scenarios**
```scala
scala> val dfa = Seq((1, 2), (2, 3)).toDF("id", "a").alias("dfa")
scala> val dfb = Seq((1, 0), (1, 1)).toDF("id", "b").alias("dfb")
scala> dfa.join(dfb, dfa("id") ===
dfb("id")).dropDuplicates(Array("dfa.id", "dfb.id"))
org.apache.spark.sql.AnalysisException: Cannot resolve column name "dfa.id"
among (id, a, id, b);
```
## How was this patch tested?
Pass the Jenkins tests with a newly added test case.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dongjoon-hyun/spark SPARK-16938
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14527.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 #14527
----
commit 62c238a619422cbf7065d13fa7dd2980921ff9c8
Author: Dongjoon Hyun <[email protected]>
Date: 2016-08-07T22:57:05Z
[SPARK-16938][SQL] `dropDuplicate` should not raise exception on qualified
column names.
----
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