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

["Hossein Falaki (JIRA)" <ji...@apache.org>]

Hossein Falaki created SPARK-17878:
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             Summary: 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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