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https://issues.apache.org/jira/browse/KAFKA-6039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Guozhang Wang reassigned KAFKA-6039:
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Assignee: Bill Bejeck
> Improve TaskAssignor to be more load balanced
> ---------------------------------------------
>
> Key: KAFKA-6039
> URL: https://issues.apache.org/jira/browse/KAFKA-6039
> Project: Kafka
> Issue Type: Improvement
> Components: streams
> Reporter: Guozhang Wang
> Assignee: Bill Bejeck
> Priority: Major
> Labels: optimization, user-experience
>
> Today our task placement may still generate sub-optimal assignment regarding
> load balance. One reason is that it does not account for sub-topologies. For
> example say you have an aggregation following from a repartition topic, then
> you will end up with two sub-topologies where the first one is very light and
> the second one is computational heavy with state stores, however when we
> consider their tasks we treat them equally so in the worst case one client
> can get X number of tasks from first sub-topology and be very idle while the
> other getting X number of tasks from the second sub-topology and busy to
> death.
> One strawman approach to make this better is try to achieve balance across
> sub-topologies: i.e. each client trying to get similar amount of tasks within
> a sub-topology. However there are some more considerations to include (as
> mentioned in the sub-taks).
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