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https://issues.apache.org/jira/browse/SPARK-16896?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15407604#comment-15407604
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Aseem Bansal commented on SPARK-16896:
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[~hyukjin.kwon] cc
> Loading csv with duplicate column names
> ---------------------------------------
>
> Key: SPARK-16896
> URL: https://issues.apache.org/jira/browse/SPARK-16896
> Project: Spark
> Issue Type: Bug
> Affects Versions: 2.0.0
> Reporter: Aseem Bansal
>
> It would be great if the library allows us to load csv with duplicate column
> names. I understand that having duplicate columns in the data is odd but
> sometimes we get data that has duplicate columns. Getting upstream data like
> that can happen. We may choose to ignore them but currently there is no way
> to drop those as we are not able to load them at all. Currently as a
> pre-processing I loaded the data into R, changed the column names and then
> make a fixed version with which Spark Java API can work.
> But if talk about other options, e.g. R has read.csv which automatically
> takes care of such situation by appending a number to the column name.
> Also case sensitivity in column names can also cause problems. I mean if we
> have columns like
> ColumnName, columnName
> I may want to have them as separate. But the option to do this is not
> documented.
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