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MQSeries.net Forum Index » IBM MQ Java / JMS » Performance Question: splitting up a queue

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dtauzell
PostPosted: Fri Jun 27, 2003 10:27 am    Post subject: Performance Question: splitting up a queue Reply with quote

Apprentice

Joined: 23 May 2002
Posts: 37

Our application uses several queues. One of them, however, gets a large percentage of messages. Puts and Gets to/from that queue are much slower than to the queues that get lots of messages.

My question is if you think that splitting up that queue somehow could help performance.

Is performace of puts/gets more dependant on the number of messages going to MQSeries, or to a particular queue?
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mqonnet
PostPosted: Fri Jun 27, 2003 10:58 am    Post subject: Reply with quote

Grand Master

Joined: 18 Feb 2002
Posts: 1114
Location: Boston, Ma, Usa.

Each and every object is a separate entity for a Queue manager and hence when you overuse one as opposed to other, QM needs to do more work towards that queue than any other. Because your app is asking lot to be done on this particular queue than any other.

Your question may not have a direct answer to it, but shall give you one.

Any resource that MQ handles as with any software has a threshold. And it depends on various factors including the memory, cpu, hdd etc. In your case, say if you are putting and getting 100,000 messages onto queue Q1 and only 10,000 on the rest of 10 queues you have. Obviously the performance of the other 10 queues be better compared to Q1. Now you simultaneously increase the numbers to say 1Mil on each queue. MQ now has to do lot of work as opposed to before.

Hence the more you stress a particular object or mq as a whole, the response would be according to that only.

Not sure how much of help was this, But....!!!

Cheers
Kumar
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mrlinux
PostPosted: Mon Jun 30, 2003 4:18 am    Post subject: Reply with quote

Grand Master

Joined: 14 Feb 2002
Posts: 1261
Location: Detroit,MI USA

Well message size may come into play, if you are using non-persistant messages, they are held in a 64kb(default) buffer in ram and once that is full they are written to disk so that will slow you down some if you dont have speedy disk.

The 64kb can be increased, this depends on platform as to how to doit
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