[jira] [Resolved] (SPARK-12104) collect() does not handle multiple columns with same name

["Shivaram Venkataraman (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Shivaram Venkataraman resolved SPARK-12104.
-------------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.6.1
                   2.0.0

Issue resolved by pull request 10118
[https://github.com/apache/spark/pull/10118]

> collect() does not handle multiple columns with same name
> ---------------------------------------------------------
>
>                 Key: SPARK-12104
>                 URL: https://issues.apache.org/jira/browse/SPARK-12104
>             Project: Spark
>          Issue Type: Bug
>          Components: SparkR
>    Affects Versions: 1.6.0
>            Reporter: Hossein Falaki
>            Priority: Critical
>             Fix For: 2.0.0, 1.6.1
>
>
> This is a regression from Spark 1.5
> Spark can produce DataFrames with identical names (e.g., after left outer joins). In 1.5 when such a DataFrame was collected we ended up with an R data.frame with modified column names:
> {code}
> > names(mySparkDF)
> [1] "date"   "name"   "name" 
> > names(collect(mySparkDF))
> [1] "date"   "name"   "name.1" 
> {code}
> But in 1.6 only the first column is included in the collected R data.frame. I think SparkR should continue the old behavior.



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