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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/04/20 22:43:00 UTC

[jira] [Updated] (SPARK-17916) CSV data source treats empty string as null no matter what nullValue option is

     [ https://issues.apache.org/jira/browse/SPARK-17916?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li updated SPARK-17916:
----------------------------
    Target Version/s: 2.4.0

> 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
>            Priority: Major
>
> 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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