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https://issues.apache.org/jira/browse/KAFKA-687?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Neha Narkhede updated KAFKA-687:
--------------------------------

    Affects Version/s:     (was: 0.8.1)
                       0.9
    
> Rebalance algorithm should consider partitions from all topics
> --------------------------------------------------------------
>
>                 Key: KAFKA-687
>                 URL: https://issues.apache.org/jira/browse/KAFKA-687
>             Project: Kafka
>          Issue Type: Improvement
>    Affects Versions: 0.9
>            Reporter: Pablo Barrera
>
> The current rebalance step, as stated in the original Kafka paper [1], splits 
> the partitions per topic between all the consumers. So if you have 100 topics 
> with 2 partitions each and 10 consumers only two consumers will be used. That 
> is, for each topic all partitions will be listed and shared between the 
> consumers in the consumer group in order (not randomly).
> If the consumer group is reading from several topics at the same time it 
> makes sense to split all the partitions from all topics between all the 
> consumer. Following the example, we will have 200 partitions in total, 20 per 
> consumer, using the 10 consumers.
> The load per topic could be different and the division should consider this. 
> However even a random division should be better than the current algorithm 
> while reading from several topics and should harm reading from a few topics 
> with several partitions.

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