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https://issues.apache.org/jira/browse/KAFKA-2092?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14627325#comment-14627325
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Jason Gustafson commented on KAFKA-2092:
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[~azaroth], thanks for the update. I think the only concern is that the use 
case is a little complex. As you say, it doesn't make much sense to use this 
partitioner without an intermediate round of processing. It may be better to 
keep the partitioning strategies bundled with Kafka more basic. I wonder if 
this might be a better fit in Samza where it might be able to be leveraged 
directly?

> 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, KAFKA-2092-v2.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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