GitHub user kubatyszko opened a pull request:
https://github.com/apache/spark/pull/16317
returns null when field is empty string on integer, long, and short câ¦
## What changes were proposed in this pull request?
CSV parser changes allowing parsing of numeric fields to fail and return
null in such case.
In conjunction with "nullValue" option that may be used elsewhere this
allows handling of certain csv sources that may use empty string as indication
of null in one column and another specific value indicating null in another.
Currently the option "nullValue" can only be provided once and we can't
assume that a data source won't have a single "null" indicator.
## How was this patch tested?
The patch was tested using freshly compiled spark version 2.0.1 on a sample
data source that has "null" values in 2 columns, one specified as "NA" and set
using nullValue and another column with "" indicating no integer value.
Credit - Sargis Dudaklayan and Kuba Tyszko - Zest Finance
Please review http://spark.apache.org/contributing.html before opening a
pull request.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/Katlean/spark branch-2.1
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16317.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 #16317
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commit 80d70f0dc1855b00131c941bc28ce0aada395812
Author: Kuba Tyszko <[email protected]>
Date: 2016-12-16T20:58:54Z
returns null when field is empty string on integer, long, and short column
types
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