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() ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org