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https://issues.apache.org/jira/browse/KAFKA-14287?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17615658#comment-17615658
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Luke Chen commented on KAFKA-14287:
-----------------------------------

[~dengziming] [~jsancio] [~hachikuji] , any thoughts about this issue? Firstly, 
I'd like to confirm this is the correct use case for multi combined nodes. If 
so (I assume), we can brainstrom for a good solution. Othewise, we just 
document that we don't support it.

 

> Multi noded with kraft combined mode will fail shutdown
> -------------------------------------------------------
>
>                 Key: KAFKA-14287
>                 URL: https://issues.apache.org/jira/browse/KAFKA-14287
>             Project: Kafka
>          Issue Type: Bug
>          Components: kraft
>    Affects Versions: 3.3.1
>            Reporter: Luke Chen
>            Assignee: Luke Chen
>            Priority: Major
>
> Multiple nodes with kraft combined mode (i.e. 
> process.roles='broker,controller') can startup successfully. When shutdown in 
> combined mode, we'll unfence broker first. When the remaining controller 
> nodes are less than quorum size (i.e. N / 2 + 1), the unfence record will not 
> get committed to metadata topic successfully. So the broker will keep waiting 
> for the shutdown granting response and then timeout error:
>  
> {code:java}
> 2022-10-11 18:01:14,341] ERROR [kafka-raft-io-thread]: Graceful shutdown of 
> RaftClient failed (kafka.raft.KafkaRaftManager$RaftIoThread)
> java.util.concurrent.TimeoutException: Timeout expired before graceful 
> shutdown completed
>     at 
> org.apache.kafka.raft.KafkaRaftClient$GracefulShutdown.failWithTimeout(KafkaRaftClient.java:2408)
>     at 
> org.apache.kafka.raft.KafkaRaftClient.maybeCompleteShutdown(KafkaRaftClient.java:2163)
>     at org.apache.kafka.raft.KafkaRaftClient.poll(KafkaRaftClient.java:2230)
>     at kafka.raft.KafkaRaftManager$RaftIoThread.doWork(RaftManager.scala:52)
>     at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:96)
>  {code}



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