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https://issues.apache.org/jira/browse/ARTEMIS-2852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17170081#comment-17170081
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Kasper Kondzielski commented on ARTEMIS-2852:
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?? I've noticed another imporatant thing: on 2.13 to disable buffering on
MAPPED journal the...??
Great catch, thanks!
??I cannot say if it's the motivation behind the scalability issue, but I think
that to have a proper apple-to-apple comparison makes sense to have a
similar/same configuration.??
To be honest we are more interested in finding out what is the artemis mq
throughput when compared to other queues rather then to its previous versions.
Although, having our tests span over multiple versions of given queue gives us
this additional benefit of seeing how the performance has changed over the
time, keeping the configuration exactly the same is not our priority. I.e. we
are not trying to do apple-to-apple comparison.
> Huge performance decrease between versions 2.2.0 and 2.13.0
> -----------------------------------------------------------
>
> Key: ARTEMIS-2852
> URL: https://issues.apache.org/jira/browse/ARTEMIS-2852
> Project: ActiveMQ Artemis
> Issue Type: Bug
> Reporter: Kasper Kondzielski
> Priority: Major
> Attachments: Selection_433.png, Selection_434.png, Selection_440.png,
> Selection_441.png
>
>
> Hi,
> Recently, we started to prepare a new revision of our blog-post in which we
> test various implementations of replicated queues. Previous version can be
> found here: [https://softwaremill.com/mqperf/]
> We updated artemis binary to 2.13.0, regenerated configuration file and
> applied all the performance tricks you told us last time. In particular these
> were:
> * the {{Xmx}} java parameter bumped to {{16G (now bumped to 48G)}}
> * in {{broker.xml}}, the {{global-max-size}} setting changed to {{8G (this
> one we forgot to set, but we suspect that it is not the issue)}}
> * {{journal-type}} set to {{MAPPED}}
> * {{journal-datasync}}, {{journal-sync-non-transactional}} and
> {{journal-sync-transactional}} all set to false
> Apart from that we changed machines' type we use to r5.2xlarge ( 8 cores, 64
> GIB memory, Network bandwidth Up to 10 Gbps, Storage bandwidth Up to 4,750
> Mbps) and we decided to always run twice as much receivers as senders.
> From our tests it looks like version 2.13.0 is not scaling as well, with the
> increase of senders and receivers, as version 2.2.0 (previously tested).
> Basically is not scaling at all as the throughput state almost at the same
> level, while previously it used to grow linearly.
> Here you can find our tests results for both versions:
> [https://docs.google.com/spreadsheets/d/1kr9fzSNLD8bOhMkP7K_4axBQiKel1aJtpxsBCOy9ugU/edit?usp=sharing]
> We are aware that now there is a dedicated page in documentation about
> performance tuning, but we are surprised that same settings as before
> performs much worse.
> Maybe there is an obvious property which we overlooked which should be turned
> on?
> All changes between those versions together with the final configuration can
> be found on this merged PR:
> [https://github.com/softwaremill/mqperf/commit/6bfae489e11a250dc9e6ef59719782f839e8874a]
>
> Charts showing machines' usage in attachments. Memory consumed by artemis
> process didn't exceed ~ 16 GB. Bandwidht and cpu weren't also a bottlenecks.
> p.s. I wanted to ask this question on mailing list/nabble forum first but it
> seems that I don't have permissions to do so even though I registered &
> subscribed. Is that intentional?
>
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