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https://issues.apache.org/jira/browse/KAFKA-2435?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14699669#comment-14699669
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ASF GitHub Bot commented on KAFKA-2435:
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GitHub user noslowerdna opened a pull request:
https://github.com/apache/kafka/pull/146
KAFKA-2435: Fair consumer partition assignment strategy
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/noslowerdna/kafka KAFKA-2435
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/kafka/pull/146.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 #146
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commit 080e265f742e1e23f84b86c7d99c45dce807d7c8
Author: Andrew Olson <aols...@cerner.com>
Date: 2015-08-17T15:03:13Z
KAFKA-2435: Fair consumer partition assignment strategy
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> More optimally balanced partition assignment strategy
> -----------------------------------------------------
>
> Key: KAFKA-2435
> URL: https://issues.apache.org/jira/browse/KAFKA-2435
> Project: Kafka
> Issue Type: Improvement
> Reporter: Andrew Olson
> Assignee: Andrew Olson
> Attachments: KAFKA-2435.patch
>
>
> While the roundrobin partition assignment strategy is an improvement over the
> range strategy, when the consumer topic subscriptions are not identical
> (previously disallowed but will be possible as of KAFKA-2172) it can produce
> heavily skewed assignments. As suggested
> [here|https://issues.apache.org/jira/browse/KAFKA-2172?focusedCommentId=14530767&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-14530767]
> it would be nice to have a strategy that attempts to assign an equal number
> of partitions to each consumer in a group, regardless of how similar their
> individual topic subscriptions are. We can accomplish this by tracking the
> number of partitions assigned to each consumer, and having the partition
> assignment loop assign each partition to a consumer interested in that topic
> with the least number of partitions assigned.
> Additionally, we can optimize the distribution fairness by adjusting the
> partition assignment order:
> * Topics with fewer consumers are assigned first.
> * In the event of a tie for least consumers, the topic with more partitions
> is assigned first.
> The general idea behind these two rules is to keep the most flexible
> assignment choices available as long as possible by starting with the most
> constrained partitions/consumers.
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