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From "edge wang (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CAMEL-4531) Expose workerCount parameter of Netty NioServerSocketChannelFactory in Camel-Netty
Date Fri, 02 Dec 2011 15:15:40 GMT

    [ https://issues.apache.org/jira/browse/CAMEL-4531?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13161681#comment-13161681
] 

edge wang commented on CAMEL-4531:
----------------------------------

Hi, glad seeing my suggestion is adopted, thanks.
                
> Expose workerCount parameter of Netty NioServerSocketChannelFactory in Camel-Netty
> ----------------------------------------------------------------------------------
>
>                 Key: CAMEL-4531
>                 URL: https://issues.apache.org/jira/browse/CAMEL-4531
>             Project: Camel
>          Issue Type: Improvement
>          Components: camel-netty
>    Affects Versions: 2.8.1
>         Environment: ALL
>            Reporter: edge wang
>            Assignee: Willem Jiang
>             Fix For: 2.8.2, 2.9.0
>
>         Attachments: workerCount-2.9.patch, workerCount.patch
>
>
> Camel-netty component did not implement oio model of netty, we can only use nio one,
however it uses default workerCount parameter from Netty, which is cpu_core_threads*2.
> This is far from enough when the underlying app is a little bit slow, e.g. a traditional
transactional application. In this situation NioWorker threads become an obvious bottle neck.
> I think that exposing workerCount is a very practical yet effective way for one to broaden
the usage scenario of camel-netty in various network communication/application environment.
> I add a workerCount parameter in the configuration, one can use it in the Endpoint URL:
"netty:tcp://0.0.0.0:1111?...&workerCount=256&...". I leave the default value to 0
so that one can use Netty default policy by omit the param.
> I have tested the patch in a 2 core(4 Threads) machine, using 256 workers, it significantly
improves the performance by 15 times, than the default parameter of only 8 workers, while
CPU usage only increase 5 times.

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