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https://issues.apache.org/jira/browse/SPARK-28338?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16884876#comment-16884876
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Hyukjin Kwon commented on SPARK-28338:
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It's Spark's beavhiour. To make sure the data consistency, quote empty strings
to read it as strings.
> 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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