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https://issues.apache.org/jira/browse/ARTEMIS-3289?focusedWorklogId=597215&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-597215
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ASF GitHub Bot logged work on ARTEMIS-3289:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 15/May/21 13:36
Start Date: 15/May/21 13:36
Worklog Time Spent: 10m
Work Description: franz1981 commented on pull request #3572:
URL: https://github.com/apache/activemq-artemis/pull/3572#issuecomment-841660131
I need to run some benchmark using replication to see how much it worths
both changes :+1:
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Issue Time Tracking
-------------------
Worklog Id: (was: 597215)
Time Spent: 1h 40m (was: 1.5h)
> Reduce journal appender executor Thread wakeup cost
> ---------------------------------------------------
>
> Key: ARTEMIS-3289
> URL: https://issues.apache.org/jira/browse/ARTEMIS-3289
> Project: ActiveMQ Artemis
> Issue Type: Improvement
> Reporter: Francesco Nigro
> Assignee: Francesco Nigro
> Priority: Major
> Attachments: image-2021-05-11-09-32-15-538.png
>
> Time Spent: 1h 40m
> Remaining Estimate: 0h
>
> As mentioned in https://issues.apache.org/jira/browse/ARTEMIS-2877 one of the
> major factors that contribute to reduce the scalability of a shared-nothing
> replication setup is the thread wake-up cost of the {{JournalImpl}}'s
> {{appendExecutor}} I/O threads.
> See the flamegraph below for a busy replica while appending replicated
> journal record:
> !image-2021-05-11-09-32-15-538.png|width=966,height=313!
> The violet bars represent the CPU cycles spent to awake the Journal appender
> thread(s): despite https://issues.apache.org/jira/browse/ARTEMIS-2877 allow
> backup to batch append tasks as much as possible, it seems the signaling cost
> is still too high, if compared with the rest of replica packet processing.
> Given that the append executor is an ordered executor built on top of I/O
> thread pool, see {{ActiveMQServerImpl}}:
> {code:java}
> if (serviceRegistry.getIOExecutorService() != null) {
> this.ioExecutorFactory = new
> OrderedExecutorFactory(serviceRegistry.getIOExecutorService());
> } else {
> ThreadFactory tFactory = AccessController.doPrivileged(new
> PrivilegedAction<ThreadFactory>() {
> @Override
> public ThreadFactory run() {
> return new ActiveMQThreadFactory("ActiveMQ-IO-server-" +
> this.toString(), false, ClientSessionFactoryImpl.class.getClassLoader());
> }
> });
> this.ioExecutorPool = new ThreadPoolExecutor(0, Integer.MAX_VALUE,
> 60L, TimeUnit.SECONDS, new SynchronousQueue<Runnable>(), tFactory);
> this.ioExecutorFactory = new OrderedExecutorFactory(ioExecutorPool);
> }
> {code}
> And it's using a {{SynchronousQueue}} to submit/take new wakeup tasks, it
> worths investigate if using a different thread pool, executor or a different
> "sleeping" strategy could reduce such cost under heavy load and improve
> response time with/without replication.
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