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From "Hyukjin Kwon (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-17916) CSV data source treats empty string as null no matter what nullValue option is
Date Thu, 20 Oct 2016 22:49:58 GMT

    [ https://issues.apache.org/jira/browse/SPARK-17916?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15593271#comment-15593271
] 

Hyukjin Kwon commented on SPARK-17916:
--------------------------------------

Oh, yes sure. I just thought the root problem is to differentiate {{""}}. Once we can distinguish
it, we can easily transform it. Also, another point I want to make was.. we already have a
great reference in R but it seems not handling this case.


> 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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