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https://issues.apache.org/jira/browse/ARTEMIS-2224?focusedWorklogId=185653&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-185653
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ASF GitHub Bot logged work on ARTEMIS-2224:
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Author: ASF GitHub Bot
Created on: 16/Jan/19 09:26
Start Date: 16/Jan/19 09:26
Worklog Time Spent: 10m
Work Description: franz1981 commented on issue #2494: ARTEMIS-2224 Reduce
contention on LivePageCacheImpl
URL: https://github.com/apache/activemq-artemis/pull/2494#issuecomment-454709952
@qihongxu
What is worrying me is this
> at most time it obtained a 3k~6k tps
If the same test (same configuration) is performed using just 1 consumer I'm
expecting (best case scenario) that it would have (3k-6k)/200 tps if:
1. the tps are dependent by the most demanding operation in the CPU
flamegraph you've posted
ie `ConcurrentAppendOnlyList:.get(index)`
2. the `ConcurrentAppendOnlyList:.get(index)` can now happen in parallel and
assuming to have 200 threads available it means a 200 x speedup
I suppose that 2 can't be true, so it really depends on the number of
cores/threads available to execute such queries to `LivePageCache` IF such
queries are performed in parallel.
Do you have any idea of what's happening here? Which assumptions are
correct/wrong?
Just guessing if this process could be made much better/scalable just
answering those questions :+1:
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Issue Time Tracking
-------------------
Worklog Id: (was: 185653)
Time Spent: 1h 50m (was: 1h 40m)
> Reduce contention on LivePageCacheImpl
> --------------------------------------
>
> Key: ARTEMIS-2224
> URL: https://issues.apache.org/jira/browse/ARTEMIS-2224
> Project: ActiveMQ Artemis
> Issue Type: Improvement
> Components: Broker
> Affects Versions: 2.7.0
> Reporter: Francesco Nigro
> Assignee: Francesco Nigro
> Priority: Major
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
> Has been measured that LIvePageCacheImpl operations are a source of
> contention on producer side while paging.
> This contention decrease the scalability of the broker in an evident way
> while using topics, because the page cache is been accessed concurrently by
> several producers to ack transactions while the messages are being appended.
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