[jira] [Commented] (SPARK-16347) DataFrame allows duplicate column-names

["Xiao Li (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-16347?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15359520#comment-15359520 ] 

Xiao Li commented on SPARK-16347:
---------------------------------

This might be by design? [~rxin][~cloud_fan][~yhuai]

> DataFrame allows duplicate column-names
> ---------------------------------------
>
>                 Key: SPARK-16347
>                 URL: https://issues.apache.org/jira/browse/SPARK-16347
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.0
>         Environment: Databricks community edition
> Scala notebook in Google-Chrome
> Linux (Ubuntu 14.04LTS)
>            Reporter: Sanjay Dasgupta
>
> Certain DataFrame APIs allow duplicate column-names. The following code illustrates the problem:
> case class Row(integer: Int, string1: String, string2: String)
> val rows = spark.sparkContext.parallelize(Seq(Row(1, "one", "one"), Row(2, "two", "two"), Row(3, "three", "three")))
> // DUPLICATED COLUMN-NAMES ...
> val df = rows.toDF("integer", "string", "string")
> df.printSchema()
> Here is the output:
> root
>  |-- integer: integer (nullable = false)
>  |-- string: string (nullable = true)
>  |-- string: string (nullable = true)
> defined class Row
> rows: org.apache.spark.rdd.RDD[Row] = ParallelCollectionRDD[168] at parallelize at <console>:39
> df: org.apache.spark.sql.DataFrame = [integer: int, string: string ... 1 more field]



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