[jira] [Created] (SPARK-16464) withColumn() allows illegal creation of duplicate column names on DataFrame

["Neil Dewar (JIRA)" <ji...@apache.org>]

Neil Dewar created SPARK-16464:
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             Summary: withColumn() allows illegal creation of duplicate column names on DataFrame
                 Key: SPARK-16464
                 URL: https://issues.apache.org/jira/browse/SPARK-16464
             Project: Spark
          Issue Type: Bug
          Components: SparkR, SQL
    Affects Versions: 1.6.1
         Environment: Databricks.com
            Reporter: Neil Dewar
            Priority: Minor


If I take an existing DataFrame, I am permitted to use withColumn() to create a duplicate column name.  I assume this should be illegal, and withColumn should be prevented from permitting this.  Some functions subsequently fail due to the duplicate column names.  Example:

sdfCar <- createDataFrame(sqlContext, mtcars)
sdfCar1 <- withColumn(sdfCar, "isEfficient", sdfCar$mpg<=20)
sdfCar1 <- withColumn(sdfCar1, "isEfficient", ifelse(sdfCar1$mpg == sdfCar1$mpg,1,0))

sdfCar2 <- subset(sdfCar1, select=sdfCar1$isEfficient)

# subset() command fails with message: "Reference 'isEfficient' is ambiguous"
Note: I only know if this is SparkR - it might affect other languages APIs.



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