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https://issues.apache.org/jira/browse/IGNITE-24064?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17910637#comment-17910637
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Vladislav Pyatkov commented on IGNITE-24064:
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Merged 1b74c04fe95445e8b7f96fe9c930d4a1b742250a
> Improve the RendezvousDistributionFunction in order to calculate the
> assignments of peers and learners
> ------------------------------------------------------------------------------------------------------
>
> Key: IGNITE-24064
> URL: https://issues.apache.org/jira/browse/IGNITE-24064
> Project: Ignite
> Issue Type: Improvement
> Reporter: Denis Chudov
> Assignee: Denis Chudov
> Priority: Major
> Labels: ignite-3
> Time Spent: 10m
> Remaining Estimate: 0h
>
> *Motivation*
> The RendezvousDistributionFunction should be able to distribute learners.
> Also, the additional requirement here is that consensus group replicas should
> be distributed by cluster as evenly as the algorithm allows for all replicas.
> This is required because the consensus group bears additional load related to
> providing the data consistency; also, there are group leaders which are
> chosen from the members of the consensus group.
> *Definition of done*
> The RendezvousDistributionFunction is able to distribute learners and
> distributes the consensus replicas (voters) as even as it is possible for
> this type of algorithm.
> *Implementation notes*
> The assignments calculation for learners via Rendezvous should be simple:
> Rendezvous algorithm builds the list of nodes for each partition, then takes
> first N of them (where N is replica factor) as assignments. We should modify
> it so that it would take the first N nodes as a consensus group (where N is
> the size of this group), and the next M nodes as learners (where M is
> learners count).
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