GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/13322
[SPARK-15140][SPARK-15441][SQL][WIP] support null object in encoder
## What changes were proposed in this pull request?
Currently we can't encoder top level null object into internal row, it
throws NPE in 1.6 and returns incorrect result in 2.0.
The root cause is: Spark SQL doesn't allow row to be null, only its columns
can be null. This is different from objects, object itself can be null, and its
fields can also be null.
This PR tries to resolve this fundamental problem by adding a hidden column
when serialize object to row, to indicate if the object is null or not.
## How was this patch tested?
TODO
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cloud-fan/spark outer-join
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13322.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 #13322
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commit d7369dd363439e4d91d77c15f386b7eede34c389
Author: Wenchen Fan <[email protected]>
Date: 2016-05-25T20:57:20Z
support null object in encoder
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