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Posted to dev@qpid.apache.org by "Lorenz Quack (JIRA)" <ji...@apache.org> on 2016/12/02 14:23:58 UTC

[jira] [Updated] (QPID-7566) [Java Broker] Potentially improve performance by separating IO from processing of commands

     [ https://issues.apache.org/jira/browse/QPID-7566?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Lorenz Quack updated QPID-7566:
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    Description: Currently, when the broker receives a AMQP command the response is handled synchronously in the same IO thread. We could try to separate those steps into three distinct asynchronous tasks: receive message, process, send response. This could help us making more efficient use of the IO bandwidth by pipe-lining the IO workload.  (was: In no particular order
* In {{org.apache.qpid.server.queue.AbstractQueue#deliverSingleMessage}} we currently call {{_queueConsumerManager.setNotified()}} twice to guard against a race condition (a message becoming available just before a consumer is moved from notified to interested). We could potentially optimise this by merging the Notified and Interested lists.
* Currently, when the broker receives a AMQP command the response is handled synchronously in the same IO thread. We could try to separate those steps into three distinct asynchronous tasks: receive message, process, send response. This could help us making more efficient use of the IO bandwidth by pipe-lining the IO workload.)

> [Java Broker] Potentially improve performance by separating IO from processing of commands
> ------------------------------------------------------------------------------------------
>
>                 Key: QPID-7566
>                 URL: https://issues.apache.org/jira/browse/QPID-7566
>             Project: Qpid
>          Issue Type: Improvement
>          Components: Java Broker
>            Reporter: Lorenz Quack
>
> Currently, when the broker receives a AMQP command the response is handled synchronously in the same IO thread. We could try to separate those steps into three distinct asynchronous tasks: receive message, process, send response. This could help us making more efficient use of the IO bandwidth by pipe-lining the IO workload.



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