[
https://issues.apache.org/jira/browse/KAFKA-2092?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14699794#comment-14699794
]
Gwen Shapira commented on KAFKA-2092:
-------------------------------------
I'm -1 on putting this into Apache Kafka.
We currently have a single partitioner in the project, which makes
decision-making pretty easy when using the Producer. I don't want to add
complexity without very clear value.
As discussed in the mailing list, the use-case for this partitioner is marginal
enough that adding this to Apache Kafka will create more confusion that
usefulness.
IMO, this can live in a Github project and gets mentioned in our Ecosystem page
so users with this use-case can find it.
> 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,
> KAFKA-2092-v3.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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
