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https://issues.apache.org/jira/browse/SPARK-2890?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust reopened SPARK-2890:
-------------------------------------
Assignee: Michael Armbrust
There are cases where this does actually make it impossible to read data. For
example when you are trying read a schema that becomes ambiguous due to case
insensitive resolution. So I think we should do something here.
> 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
>
> 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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