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From "Gary Tully (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (AMQ-4495) Imporve cursor memory management
Date Thu, 02 May 2013 12:36:16 GMT

    [ https://issues.apache.org/jira/browse/AMQ-4495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13647471#comment-13647471
] 

Gary Tully commented on AMQ-4495:
---------------------------------

allowing a batch load from the store to exceed the memory limit may be the simplest approach.
The batch size is already configurable so the excess is controllable. In essence, once we
go to the store we always load a full batch if we can so we don't check the usage on each
message recovery.
                
> Imporve cursor memory management
> --------------------------------
>
>                 Key: AMQ-4495
>                 URL: https://issues.apache.org/jira/browse/AMQ-4495
>             Project: ActiveMQ
>          Issue Type: Bug
>            Reporter: Dejan Bosanac
>
> As currently stands, the store queue cursor will cache producer messages until it gets
to the 70% (high watermark) of its usage. After that caching stops and messages goes only
in store. When consumers comes, messages get dispatched to it, but memory isn't released until
they are acked. The problem is with the use case where producer flow control is off and we
have a prefetch large enough to get all our messages from the cache. Then, basically the cursor
gets empty and as message acks release memory one by one, we go to the store and try to batch
one message at the time. You can guess that things start to be really slow at that point.

> The solution for this scenario is to wait with batching until we have more space so that
store access is optimized. We can do this by adding a new limit (smaller then the high watermark)
which will be used as the limit after which we start filling cursor from the store again.
> All this led us to the following questions:
> 1. Why do we use 70% as the limit (instead of 100%) when we stop caching producer messages?
> 2. Would a solution that stop caching producer messages at 100% of usage and then start
batching messages from the store when usage drops below high watermark value be enough. Of
course, high watermark would be configurable, but 100% by default so we don't alter any behavior
for regular use cases.

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