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https://issues.apache.org/jira/browse/QPIDJMS-553?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17503568#comment-17503568
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ASF GitHub Bot commented on QPIDJMS-553:
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gemmellr commented on pull request #45:
URL: https://github.com/apache/qpid-jms/pull/45#issuecomment-1062882201
Your latest version is a bit simpler, but for reference I banged together
the 'trivial synchronized map' version I was thinking of and some other
simplifications and changes from previous feedback:
https://github.com/gemmellr/qpid-jms/tree/pr45-netty-sharing-simpler
I started it yesterday and didnt rebase so its different than your current
version. It also changed the indents in a lot of places as yours are 'wrong' in
many cases (3-spaced) so isnt as trivially comparable
It is definitely simpler, though still more elaborate than it initially
seemed it might be, because of the needed key + holder loop. I expect that
possibly could be simplified too though without e.g some more 'interesting' use
of the map (e.g have one holder for everything as key and value, use a 'equals
but different' object for the lookups) or even some other data structure
(basically its acting more as a set but with a kind of reverse-lookup needed)
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> Shared Netty event loop group
> -----------------------------
>
> Key: QPIDJMS-553
> URL: https://issues.apache.org/jira/browse/QPIDJMS-553
> Project: Qpid JMS
> Issue Type: New Feature
> Reporter: Francesco Nigro
> Priority: Major
>
> One of the most interesting feature of Netty while using KQueue/NIO/Epoll in
> non-blocking mode is to be able to handle many connections with few threads;
> this is going to be critical and even more important with the upcoming
> IO_URING support, where the time spent on the Netty event loop to handle
> network syscalls will be further reduced, allowing syscall batching across
> different connections.
> Having the chance to handle many client connections with few Netty threads is
> already beneficial in constrained environments (containers with few cores) in
> order to reduce the native and heap memory usage.
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