[jira] [Resolved] (SPARK-17878) Support for multiple null values when reading CSV data

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

     [ https://issues.apache.org/jira/browse/SPARK-17878?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-17878.
----------------------------------
    Resolution: Incomplete

> 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
>            Priority: Major
>              Labels: bulk-closed
>
> 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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