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https://issues.apache.org/jira/browse/SPARK-17878?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15578607#comment-15578607
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Hossein Falaki commented on SPARK-17878:
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I think moving it to another ticket is a good idea. One concern is that the API
would be different between Scala and DDL.
> Support for multiple null values when reading CSV data
> ------------------------------------------------------
>
> Key: SPARK-17878
> URL: https://issues.apache.org/jira/browse/SPARK-17878
> Project: Spark
> Issue Type: Story
> Components: SQL
> Affects Versions: 2.0.1
> Reporter: Hossein Falaki
>
> There are CSV files out there with multiple values that are supposed to be
> interpreted as null. As a result, multiple spark users have asked for this
> feature built into the CSV data source. It can be easily implemented in a
> backwards compatible way:
> - Currently CSV data source supports an option named {{nullValue}}.
> - We can add logic in {{CSVOptions}} to understands option names that match
> {{nullValue[\d]}}. This way user can specify a query with multiple or one
> null value.
> {code}
> val df = spark.read.format("CSV").option("nullValue1",
> "-").option("nullValue2", "*")....
> {code}
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