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https://issues.apache.org/jira/browse/KUDU-2778?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexey Serbin updated KUDU-2778:
--------------------------------
    Description: 
Currently, the recommended limit of Kudu masters in multi-master deployment is 
3 (i.e. no more than 3 masters is recommended): 
https://github.com/apache/kudu/blob/branch-1.9.x/docs/known_issues.adoc#scale

It would be nice to clarify whether there is anything substantial behind that 
limit.  As of now the recommendation stems from the fact that all of our 
multi-master tests and tested deployments use 3 masters.  Overall, being able 
to deploy 5 or more masters in case of bigger clusters makes sense from the HA 
perspective.

  was:
Currently, the recommended limit of Kudu masters in multi-master deployment is 
by 3 (i.e. no more than 3 masters is recommended): 
https://github.com/apache/kudu/blob/branch-1.9.x/docs/known_issues.adoc#scale

It would be nice to clarify whether there is anything substantial behind that 
limit, because as of now the recommendation stems from the fact that all of our 
multi-master tests and tested deployments are based on that number.  Overall, 
being able to deploy 5 or more masters in case of bigger clusters makes sense 
from the HA perspective.


> Explore limitations of multi-master Kudu deployments with more than 3 masters
> -----------------------------------------------------------------------------
>
>                 Key: KUDU-2778
>                 URL: https://issues.apache.org/jira/browse/KUDU-2778
>             Project: Kudu
>          Issue Type: Task
>          Components: master
>            Reporter: Alexey Serbin
>            Priority: Major
>
> Currently, the recommended limit of Kudu masters in multi-master deployment 
> is 3 (i.e. no more than 3 masters is recommended): 
> https://github.com/apache/kudu/blob/branch-1.9.x/docs/known_issues.adoc#scale
> It would be nice to clarify whether there is anything substantial behind that 
> limit.  As of now the recommendation stems from the fact that all of our 
> multi-master tests and tested deployments use 3 masters.  Overall, being able 
> to deploy 5 or more masters in case of bigger clusters makes sense from the 
> HA perspective.



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