[jira] [Updated] (KAFKA-4677) Avoid unnecessary task movement across threads of the same process during rebalance

["Damian Guy (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/KAFKA-4677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Damian Guy updated KAFKA-4677:
------------------------------
    Summary: Avoid unnecessary task movement across threads of the same process during rebalance  (was: Make StreamPartitionAssigner more sticky when assigning to threads)

> Avoid unnecessary task movement across threads of the same process during rebalance
> -----------------------------------------------------------------------------------
>
>                 Key: KAFKA-4677
>                 URL: https://issues.apache.org/jira/browse/KAFKA-4677
>             Project: Kafka
>          Issue Type: Bug
>          Components: streams
>    Affects Versions: 0.10.2.0
>            Reporter: Damian Guy
>            Assignee: Damian Guy
>             Fix For: 0.10.3.0
>
>
> StreamPartitionAssigner tries to follow a sticky assignment policy to avoid expensive task migration. Currently, it does this in a best-effort approach.
> We could observe a case, for which tasks did migrate for no good reason, thus we assume that the current implementation could be improved to be more sticky.
> The concrete scenario is as follows:
> assume we have topology with 3 tasks, A, B, C
> assume we have 3 threads, each executing one task: 1-A, 2-B, 3-C
> for some reason, thread 1 goes down and a rebalance gets triggered
> thread 2 and 3 get their partitions revoked
> sometimes (not sure what the exact condition for this is), the new assignment flips the assignment for task B and C (task A is newly assigned to either thread 2 or 3)
> > possible new assignment 2(A,C) and 3-B
> There is no obvious reason (like load-balancing) why the task assignment for B and C does change to the other thread resulting in unnecessary task migration.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)