GitHub user bomeng opened a pull request:
https://github.com/apache/spark/pull/13140
[SPARK-15230] [SQL] distinct() does not handle column name with dot properly
## What changes were proposed in this pull request?
When table is created with column name containing dot, distinct() will fail
to run. For example,
```scala
val rowRDD = sparkContext.parallelize(Seq(Row(1), Row(1), Row(2)))
val schema = StructType(Array(StructField("column.with.dot", IntegerType,
nullable = false)))
val df = spark.createDataFrame(rowRDD, schema)
```
running the following will have no problem:
```scala
df.select(new Column("`column.with.dot`"))
```
but running the query with additional distinct() will cause exception:
```scala
df.select(new Column("`column.with.dot`")).distinct()
```
The issue is that distinct() will try to resolve the column name, but the
column name in the schema does not have backtick with it. So the solution is to
add the backtick before passing the column name to resolve().
## How was this patch tested?
Added a new test case.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/bomeng/spark SPARK-15230
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13140.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 #13140
----
commit 2f7ffbd58a3437898f32e7603ca6b603f5fd5088
Author: bomeng <bm...@us.ibm.com>
Date: 2016-05-16T20:37:54Z
fix distinct()
----
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