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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-17916) CSV data source treats empty string as null no matter what nullValue option is
Date Sat, 08 Sep 2018 21:26:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-17916?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16608217#comment-16608217
] 

Apache Spark commented on SPARK-17916:
--------------------------------------

User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/22367

> 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
>            Assignee: Maxim Gekk
>            Priority: Major
>             Fix For: 2.4.0
>
>
> 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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