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https://issues.apache.org/jira/browse/SPARK-17916?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15591417#comment-15591417
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Hyukjin Kwon commented on SPARK-17916:
--------------------------------------
FWIW, the codes I ran in Spark (equalvalent with the last example in R) is as
blow.
{code}
spark.read.format("csv")
.option("nullValue", "\"-\"")
.option("quote", "")
.option("header", "true")
.load("path")
.show()
{code}
{code}
+----+----+
|col1|col2|
+----+----+
| 1|null|
| 2| ""|
+----+----+
{code}
> 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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