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

["koert kuipers (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-17916?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16584324#comment-16584324 ] 

koert kuipers edited comment on SPARK-17916 at 8/17/18 7:54 PM:
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the default behavior in 2.3.x for csv format is that when i write out null value, it comes back in as null. when i write out empty string, it also comes back in as null.

now my nulls are coming back in as empty strings, which would be a very big behavior change. please advice what settings i need to get behavior of 2.3 back, so empty strings read back in as nulls.


was (Author: koert):
the default behavior in 2.3.x for csv format is that when i write out null value, it comes back in as null. when i write out empty string, it also comes back in as null.

now my nulls are coming back in as empty strings. please advice what settings i need to get behavior of 2.3 back.

> 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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