GitHub user viirya opened a pull request:
https://github.com/apache/spark/pull/9665
[SPARK-11698][Streaming] Add option to ignore kafka messages that are out
of limit rate
JIRA: https://issues.apache.org/jira/browse/SPARK-11698
With spark.streaming.kafka.maxRatePerPartition, we can control the max rate
limit. However, we can not ignore these messages out of limit. These messages
will be consumed in next iteration. We have a use case that we need to ignore
these messages and process latest messages in next iteration.
In other words, we simply want to consume part of messages in each
iteration and ignore remaining messages that are not consumed.
We add an option for this purpose.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/viirya/spark-1 kafka-skip-records
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/9665.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 #9665
----
commit d26e31b5591bf546f7c595ef81bc4027a726046e
Author: Liang-Chi Hsieh <[email protected]>
Date: 2015-11-12T16:04:55Z
Add option to skip remaining records that are out of limit rate.
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