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https://issues.apache.org/jira/browse/SPARK-23519?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16421985#comment-16421985
 ] 

Shahid K I commented on SPARK-23519:
------------------------------------

[~tafra...@gmail.com] You can try,

 spark.sql("create view  default.aview  (int1 , int2 ) as select  col1 as a, 
col1 as b from atable ")

> Create View Commands Fails with  The view output (col1,col1) contains 
> duplicate column name
> -------------------------------------------------------------------------------------------
>
>                 Key: SPARK-23519
>                 URL: https://issues.apache.org/jira/browse/SPARK-23519
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core, SQL
>    Affects Versions: 2.2.1
>            Reporter: Franck Tago
>            Priority: Critical
>
> 1- create and populate a hive table  . I did this in a hive cli session .[ 
> not that this matters ]
> create table  atable (col1 int) ;
> insert  into atable values (10 ) , (100)  ;
> 2. create a view from the table.  
> [These actions were performed from a spark shell ]
> spark.sql("create view  default.aview  (int1 , int2 ) as select  col1 , col1 
> from atable ")
>  java.lang.AssertionError: assertion failed: The view output (col1,col1) 
> contains duplicate column name.
>  at scala.Predef$.assert(Predef.scala:170)
>  at 
> org.apache.spark.sql.execution.command.ViewHelper$.generateViewProperties(views.scala:361)
>  at 
> org.apache.spark.sql.execution.command.CreateViewCommand.prepareTable(views.scala:236)
>  at 
> org.apache.spark.sql.execution.command.CreateViewCommand.run(views.scala:174)
>  at 
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
>  at 
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
>  at 
> org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:67)
>  at org.apache.spark.sql.Dataset.<init>(Dataset.scala:183)
>  at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:68)
>  at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:632)



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