[ 
https://issues.apache.org/jira/browse/KAFKA-4969?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16959169#comment-16959169
 ] 

Dallas Wrege commented on KAFKA-4969:
-------------------------------------

Bump. I would love to see this issue back in consideration.

We had exactly the same experience as [~mjsax], and a simple search of this 
Jira brought me straight here.

Because of re-keying, our topology is broken up into one "heavy" task and three 
"stateless" tasks. I ended up in situations where some clients are assigned 
only heavy tasks and others only stateless tasks - all were unbalanced at the 
least. We worked around the problem by splitting the stateless parts of the 
topology into separate Stream Processors, but using a workaround is unfortunate.

The straightforward implementation that [~bbejeck] proposes above would have 
worked fine for us - ensuring an even distribution based on topicGroupId.

> State-store workload-aware StreamsPartitionAssignor
> ---------------------------------------------------
>
>                 Key: KAFKA-4969
>                 URL: https://issues.apache.org/jira/browse/KAFKA-4969
>             Project: Kafka
>          Issue Type: Sub-task
>          Components: streams
>            Reporter: Matthias J. Sax
>            Assignee: Bill Bejeck
>            Priority: Major
>             Fix For: 1.1.0
>
>
> Currently, {{StreamPartitionsAssigner}} does not distinguish different 
> "types" of tasks. For example, task can be stateless of have one or multiple 
> stores.
> This can lead to an suboptimal task placement: assume there are 2 stateless 
> and 2 stateful tasks and the app is running with 2 instances. To share the 
> "store load" it would be good to place one stateless and one stateful task 
> per instance. Right now, there is no guarantee about this, and it can happen, 
> that one instance processed both stateless tasks while the other processes 
> both stateful tasks.
> We should improve {{StreamPartitionAssignor}} and introduce "task types" 
> including a cost model for task placement. We should consider the following 
> parameters:
>  - number of stores
>  - number of sources/sinks
>  - number of processors
>  - regular task vs standby task
>  - in the case of standby tasks, which tasks have progressed the most with 
> respect to restoration
> This improvement should be backed by a design document in the project wiki 
> (no KIP required though) as it's a fairly complex change.
>  
> There have been some additional discussions around task assignment on a 
> related PR https://github.com/apache/kafka/pull/5390



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

Reply via email to