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https://issues.apache.org/jira/browse/SPARK-17916?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15573692#comment-15573692
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Hossein Falaki commented on SPARK-17916:
----------------------------------------

Thanks for linking it. Yes they are very much same issues. However, I slightly 
disagree with the proposed solution. I will comment on the PR.

> CSV data source treats empty string as null no matter what nullValue option is
> ------------------------------------------------------------------------------
>
>                 Key: SPARK-17916
>                 URL: https://issues.apache.org/jira/browse/SPARK-17916
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.1
>            Reporter: Hossein Falaki
>
> When user configures {{nullValue}} in CSV data source, in addition to those 
> values, all empty string values are also converted to null.
> {code}
> data:
> col1,col2
> 1,"-"
> 2,""
> {code}
> {code}
> spark.read.format("csv").option("nullValue", "-")
> {code}
> We will find a null in both rows.



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