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https://issues.apache.org/jira/browse/SPARK-23519?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16914660#comment-16914660
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hemanth meka edited comment on SPARK-23519 at 8/23/19 9:50 PM:
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PR raised [25570|[https://github.com/apache/spark/pull/25570]] Someone please
review.
was (Author: hem1891):
PR raised [25570|[https://github.com/apache/spark/pull/25570]]. Someone please
review.
> 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: Major
> Labels: bulk-closed
> Attachments: image-2018-05-10-10-48-57-259.png
>
>
> 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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