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https://issues.apache.org/jira/browse/ARTEMIS-2216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16742282#comment-16742282
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ASF subversion and git services commented on ARTEMIS-2216:
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Commit 47db4714fce537a259aa0ea1e43b482b57557bd5 in activemq-artemis's branch
refs/heads/master from Francesco Nigro
[ https://gitbox.apache.org/repos/asf?p=activemq-artemis.git;h=47db471 ]
ARTEMIS-2216 Avoid unnecessary page cache queries on ack TX
PageSubscriptionImpl::ackTx is already performing a counter update
using the message persistent size: the size can be reused on
PagePosition::setPersistentSize, avoiding to query the page cache just
to compute it.
> Use a specific executor for pageSyncTimer
> -----------------------------------------
>
> Key: ARTEMIS-2216
> URL: https://issues.apache.org/jira/browse/ARTEMIS-2216
> Project: ActiveMQ Artemis
> Issue Type: Improvement
> Affects Versions: 2.6.3
> Reporter: Qihong Xu
> Priority: Major
> Attachments: contention_MASTER_global.svg, contention_PR_global.svg,
> contention_PR_single.svg
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Improving throughput on paging mode is one of our concerns since our cluster
> uses paging a lot.
> We found that pageSyncTimer in PagingStoreImpl shared the same executor with
> pageCursorProvider from thread pool. In heavy load scenario like hundreds of
> consumers receiving messages simultaneously, it became difficult for
> pageSyncTimer to get the executor due to race condition. Therefore page sync
> was delayed and producers suffered low throughput.
>
> To achieve higher performance we assign a specific executor to pageSyncTimer
> to avoid racing. And we run a small-scale test on a single modified broker.
>
> Broker: 4C/8G/500G SSD
> Producer: 200 threads, non-transactional send
> Consumer 200 threads, transactional receive
> Message text size: 100-200 bytes randomly
> AddressFullPolicy: PAGE
>
> Test result：
> | |Only Send TPS|Only Receive TPS|Send&Receive TPS|
> |Original ver|38k|33k|3k/30k|
> |Modified ver|38k|34k|30k/12.5k|
>
> The chart above shows that on modified broker send TPS improves from “poor”
> to “extremely fast”, while receive TPS drops from “extremely fast” to
> “not-bad” under heavy load. Considering consumer systems usually have a long
> processing chain after receiving messages, we don’t need too fast receive
> TPS. Instead, we want to guarantee send TPS to cope with traffic peak and
> lower producer’s delay time. Moreover, send and receive TPS in total raises
> from 33k to about 43k. From all above this trade-off seems beneficial and
> acceptable.
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