[jira] [Resolved] (SPARK-28338) spark.read.format("csv") treat empty string as null if csv file don't have quotes in data

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-28338?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-28338.
----------------------------------
    Resolution: Not A Problem

> spark.read.format("csv") treat empty string as null if csv file don't have quotes in data
> -----------------------------------------------------------------------------------------
>
>                 Key: SPARK-28338
>                 URL: https://issues.apache.org/jira/browse/SPARK-28338
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.3
>            Reporter: Jayadevan M
>            Priority: Major
>
> The csv input file
> +cat sample.csv+
> {code}
> Name,Lastname,Age
> abc,,32
> pqr,xxx,30
> {code} 
> +spark-shell+
> {code}
> spark.read.format("csv").option("header", "true").load("/media/ub_share/projects/*.csv").head(3) 
> spark.read.format("csv").option("header", "true").option("nullValue", "?").load("/media/ub_share/projects/*.csv").head(3)
> {code}
> {code}
> res15: Array[org.apache.spark.sql.Row] = Array([abc,null,32], [pqr,xxx,30])
> {code}
>  
> The empty string get converted to null. Its works fine if the csv file have quotes in columns.



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