GitHub user falaki opened a pull request:
https://github.com/apache/spark/pull/11947
[SPARK-14143] Options for parsing NaNs, Infinity and nulls for numeric types
## What changes were proposed in this pull request?
1. Adds following options for parsing type-specfic nulls to CSV data source:
* byteNullValue
* integerNullValue
* shortNullValue
* longNullValue
* floatNullValue
* doubleNullValue
* decimalNullValue
2. Adds following options for parsing NaNs:
* floatNaNValue
* doubleNaNValue
3. And following options for parsing infinity:
* floatNegativeInf
* floatPositiveInf
* doubleNegativeInf
* doublePositiveInf
## How was this patch tested?
`TypeCast.castTo` is unit tested and an end-to-end test is added to
`CSVSuite`
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/falaki/spark SPARK-14143
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11947.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #11947
----
commit 93ac6bb3eb63efb775b48af090a37a6cbe4f30c4
Author: Hossein <hoss...@databricks.com>
Date: 2016-03-24T23:31:38Z
Added support for null, NaN and Inf options for numeric types
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