GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/10431
[SPARK-12478][SQL] Bugfix: Dataset fields of product types can't be null
When creating extractors for product types (i.e. case classes and tuples),
a null check is missing, thus we always assume input product values are
non-null.
This PR adds a null check in the extractor expression for product types.
The null check is stripped off for top level product fields, which are mapped
to the outermost `Row`s, since they can't be null.
Thanks @cloud-fan for helping investigating this issue!
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/liancheng/spark
spark-12478.top-level-null-field
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/10431.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 #10431
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commit af0b368f80890153e39729abeefb28ae4df21e39
Author: Cheng Lian <[email protected]>
Date: 2015-12-22T12:01:50Z
Fixes SPARK-12478
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