GitHub user boneill42 opened a pull request:
https://github.com/apache/spark/pull/16236
Bumping version of KCL on master.
## What changes were proposed in this pull request?
Upgrading KCL version from 1.6.1 to 1.6.2. Without this upgrade, Spark
cannot consume
from a stream that includes aggregated records.
This change was already commited against an older version of Spark. We
need to
apply the same thing to master.
## How was this patch tested?
Manual testing using dump.py:
https://gist.github.com/boneill42/020dde814346c6b4ad0ba28406c3ea10
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/boneill42/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16236.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 #16236
----
commit af24ef3459768269eba4240d8c001734eb8b227f
Author: Brian O'Neill <b...@alumni.brown.edu>
Date: 2016-12-09T19:36:30Z
Bumping version of KCL on master.
This was included in a patch against 1.6:
https://github.com/apache/spark/pull/12209/files
But appears it didn't get bumped on master so the 2.0+ are unable to
consume kinesis streams
that leverage aggregation
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