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https://issues.apache.org/jira/browse/KAFKA-4084?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16648581#comment-16648581
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Jiaxin YE commented on KAFKA-4084:
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Is this issue really resolved? I am using Kafka 1.1.0 and my cluster with 97 
hosts and 22,500 partitions face the same problem. Here is what I see in the 
log for one partition.

1. Broker A went offline for some reasons (deployment, network glitch .. ect)

2. Controller elected broker B as the leader for that partition and let B 
become the leader.

3. Broker A went online again.

4. Controller let A become the follower of broker B and A is in sync with 
broker B.

5. Controller triggered auto rebalance and elect A as the new leader and inform 
B to become the follower.

6. Broker B became the follower and then Controller informed A to be the leader.

7. Broker A became the leader.

The problem is the broker A has 100% CPU utilization on step 6 and takes a long 
to for it to handle the controller request to become a leader. There a great 
latency between 6 and 7 which cause a partition to live without a leader for 
around 1- 30 minutes.

 

> automated leader rebalance causes replication downtime for clusters with too 
> many partitions
> --------------------------------------------------------------------------------------------
>
>                 Key: KAFKA-4084
>                 URL: https://issues.apache.org/jira/browse/KAFKA-4084
>             Project: Kafka
>          Issue Type: Bug
>          Components: controller
>    Affects Versions: 0.8.2.2, 0.9.0.0, 0.9.0.1, 0.10.0.0, 0.10.0.1
>            Reporter: Tom Crayford
>            Priority: Major
>              Labels: reliability
>             Fix For: 1.1.0
>
>
> If you enable {{auto.leader.rebalance.enable}} (which is on by default), and 
> you have a cluster with many partitions, there is a severe amount of 
> replication downtime following a restart. This causes 
> `UnderReplicatedPartitions` to fire, and replication is paused.
> This is because the current automated leader rebalance mechanism changes 
> leaders for *all* imbalanced partitions at once, instead of doing it 
> gradually. This effectively stops all replica fetchers in the cluster 
> (assuming there are enough imbalanced partitions), and restarts them. This 
> can take minutes on busy clusters, during which no replication is happening 
> and user data is at risk. Clients with {{acks=-1}} also see issues at this 
> time, because replication is effectively stalled.
> To quote Todd Palino from the mailing list:
> bq. There is an admin CLI command to trigger the preferred replica election 
> manually. There is also a broker configuration “auto.leader.rebalance.enable” 
> which you can set to have the broker automatically perform the PLE when 
> needed. DO NOT USE THIS OPTION. There are serious performance issues when 
> doing so, especially on larger clusters. It needs some development work that 
> has not been fully identified yet.
> This setting is extremely useful for smaller clusters, but with high 
> partition counts causes the huge issues stated above.
> One potential fix could be adding a new configuration for the number of 
> partitions to do automated leader rebalancing for at once, and *stop* once 
> that number of leader rebalances are in flight, until they're done. There may 
> be better mechanisms, and I'd love to hear if anybody has any ideas.



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