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https://issues.apache.org/jira/browse/ARTEMIS-2852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17170928#comment-17170928
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Francesco Nigro edited comment on ARTEMIS-2852 at 8/4/20, 4:22 PM:
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[~kkondzielski] Just approved them :)
Going to take a look at the test itself, I'm curious :)
Anyway...the version I've sent ie
https://github.com/franz1981/activemq-artemis/tree/speed_up_core_mmap it's
using a couple of optimizations to both save the CPU to go into an idle state
and awaken right after on moderate loads and save context switches while
streaming messages on the journal, but it assume the disk to be "fast enough".
I'm very curious to see how it will behave in virtualized environment :) many
thanks (y)
was (Author: [email protected]):
[~kkondzielski] Just approved them :)
Going to take a look at the test itself, I'm curious :)
Anyway...the version I've sent ie
https://github.com/franz1981/activemq-artemis/tree/speed_up_core_mmap it's
using a couple of optimizations to both save the CPU to go into an idle state
and awaken right after on moderate loads, but it assume the disk to be "fast
enough". I'm very curious to see how it will behave in virtualized environment
:) many thanks (y)
> 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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