[jira] [Commented] (KAFKA-2092) New partitioning for better load balancing

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/KAFKA-2092?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14584688#comment-14584688 ] 

ASF GitHub Bot commented on KAFKA-2092:
---------------------------------------

GitHub user gdfm opened a pull request:

    https://github.com/apache/kafka/pull/69

    KAFKA-2092: New partitioning for better load balancing

    

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/gdfm/kafka KAFKA-2092

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/kafka/pull/69.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 #69
    
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commit ceaf4e3d4488e677ca584eca59d8d25ccb137f02
Author: Gianmarco De Francisci Morales <gd...@apache.org>
Date:   2015-06-13T15:59:15Z

    Add PKG partitioner for load balancing

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> New partitioning for better load balancing
> ------------------------------------------
>
>                 Key: KAFKA-2092
>                 URL: https://issues.apache.org/jira/browse/KAFKA-2092
>             Project: Kafka
>          Issue Type: Improvement
>          Components: producer 
>            Reporter: Gianmarco De Francisci Morales
>            Assignee: Jun Rao
>         Attachments: KAFKA-2092-v1.patch
>
>
> We have recently studied the problem of load balancing in distributed stream processing systems such as Samza [1].
> In particular, we focused on what happens when the key distribution of the stream is skewed when using key grouping.
> We developed a new stream partitioning scheme (which we call Partial Key Grouping). It achieves better load balancing than hashing while being more scalable than round robin in terms of memory.
> In the paper we show a number of mining algorithms that are easy to implement with partial key grouping, and whose performance can benefit from it. We think that it might also be useful for a larger class of algorithms.
> PKG has already been integrated in Storm [2], and I would like to be able to use it in Samza as well. As far as I understand, Kafka producers are the ones that decide how to partition the stream (or Kafka topic).
> I do not have experience with Kafka, however partial key grouping is very easy to implement: it requires just a few lines of code in Java when implemented as a custom grouping in Storm [3].
> I believe it should be very easy to integrate.
> For all these reasons, I believe it will be a nice addition to Kafka/Samza. If the community thinks it's a good idea, I will be happy to offer support in the porting.
> References:
> [1] https://melmeric.files.wordpress.com/2014/11/the-power-of-both-choices-practical-load-balancing-for-distributed-stream-processing-engines.pdf
> [2] https://issues.apache.org/jira/browse/STORM-632
> [3] https://github.com/gdfm/partial-key-grouping



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