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Bob Tiernay commented on SPARK-2890:
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What if you request {{SELECT x.*, y.*}}? If there are 20 columns on each side, is the user
required to specify them all?
> Spark SQL should allow SELECT with duplicated columns
> -----------------------------------------------------
>
> Key: SPARK-2890
> URL: https://issues.apache.org/jira/browse/SPARK-2890
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.1.0
> Reporter: Jianshi Huang
> Assignee: Michael Armbrust
> Fix For: 1.2.0
>
>
> Spark reported error java.lang.IllegalArgumentException with messages:
> java.lang.IllegalArgumentException: requirement failed: Found fields with the same name.
> at scala.Predef$.require(Predef.scala:233)
> at org.apache.spark.sql.catalyst.types.StructType.<init>(dataTypes.scala:317)
> at org.apache.spark.sql.catalyst.types.StructType$.fromAttributes(dataTypes.scala:310)
> at org.apache.spark.sql.parquet.ParquetTypesConverter$.convertToString(ParquetTypes.scala:306)
> at org.apache.spark.sql.parquet.ParquetTableScan.execute(ParquetTableOperations.scala:83)
> at org.apache.spark.sql.execution.Filter.execute(basicOperators.scala:57)
> at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:85)
> at org.apache.spark.sql.SchemaRDD.collect(SchemaRDD.scala:433)
> After trial and error, it seems it's caused by duplicated columns in my select clause.
> I made the duplication on purpose for my code to parse correctly. I think we should allow
users to specify duplicated columns as return value.
> Jianshi
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