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https://issues.apache.org/jira/browse/KAFKA-6753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lucas Wang reopened KAFKA-6753:
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> Speed up event processing on the controller 
> --------------------------------------------
>
>                 Key: KAFKA-6753
>                 URL: https://issues.apache.org/jira/browse/KAFKA-6753
>             Project: Kafka
>          Issue Type: Improvement
>            Reporter: Lucas Wang
>            Assignee: Lucas Wang
>            Priority: Minor
>             Fix For: 2.1.0
>
>         Attachments: Screen Shot 2018-04-04 at 7.08.55 PM.png
>
>
> The existing controller code updates metrics after processing every event. 
> This can slow down event processing on the controller tremendously. In one 
> profiling we see that updating metrics takes nearly 100% of the CPU for the 
> controller event processing thread. Specifically the slowness can be 
> attributed to two factors:
> 1. Each invocation to update the metrics is expensive. Specifically trying to 
> calculate the offline partitions count requires iterating through all the 
> partitions in the cluster to check if the partition is offline; and 
> calculating the preferred replica imbalance count requires iterating through 
> all the partitions in the cluster to check if a partition has a leader other 
> than the preferred leader. In a large cluster, the number of partitions can 
> be quite large, all seen by the controller. Even if the time spent to check a 
> single partition is small, the accumulation effect of so many partitions in 
> the cluster can make the invocation to update metrics quite expensive. One 
> might argue that maybe the logic for processing each single partition is not 
> optimized, we checked the CPU percentage of leaf nodes in the profiling 
> result, and found that inside the loops of collection objects, e.g. the set 
> of all partitions, no single function dominates the processing. Hence the 
> large number of the partitions in a cluster is the main contributor to the 
> slowness of one invocation to update the metrics.
> 2. The invocation to update metrics is called many times when the is a high 
> number of events to be processed by the controller, one invocation after 
> processing any event.



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