"ataylor" wrote : The first thing I notice is that you are setting the 
timetolive on send to 1000ms, this means that most of these messages could 
expire and never be consumed, set this to 0. 
  | 

Removing timetolive did the trick.  Apparently,  expiring messages was killing 
the GC.

Now,  the picture's as follows:


  | 
  | -- Sender
  | Sent per sec: 11417
  | Sent per sec: 13772
  | Sent per sec: 11489
  | Sent per sec: 10700
  | Sent per sec: 11397
  | Sent per sec: 12361
  | Sent per sec: 12043
  | Sent per sec: 7591
  | Sent per sec: 6297
  | Sent per sec: 1126
  | Sent per sec: 921
  | Sent per sec: 1024
  | Sent per sec: 870
  | ...
  | 
  | Sent per sec: 803
  | Sent per sec: 373
  | Sent per sec: 716
  | Sent per sec: 768
  | Sent per sec: 307
  | Sent per sec: 768
  | Sent per sec: 665
  | Sent per sec: 460
  | Sent per sec: 460
  | Sent per sec: 563
  | 
  | -- Receiver
  | Received per sec: 12205
  | Received per sec: 10278
  | Received per sec: 9535
  | Received per sec: 9949
  | Received per sec: 9254
  | Received per sec: 9110
  | Received per sec: 7416
  | Received per sec: 5673
  | Received per sec: 3976
  | Received per sec: 450
  | Received per sec: 400
  | Received per sec: 400
  | Received per sec: 400
  | Received per sec: 407
  | ....
  | 
  | Received per sec: 400
  | Received per sec: 200
  | Received per sec: 400
  | Received per sec: 400
  | Received per sec: 200
  | Received per sec: 400
  | Received per sec: 200
  | Received per sec: 400
  | Received per sec: 185
  | 

As soon as paging starts,  the message s/r rate gets limited by the DB and 
falls down dramatically.

"ataylor" wrote : 
  | Also you are sending messages as quickly as possible which isn't a true 
representation of what would happen in a real live deployment. 
  | 

Unfortunately,  it is close to real life: our data soruces are capable of 
generating several K worth of 1K messages/s,  so we need to understand the 
messaging system limits in order to be able to sustain the data flow.

"ataylor" wrote : 
  | You are basically saturating the server with messages. i.e. if the max size 
of Q1 is 2000 messages, as soon as the consumer falls this many behind the 
producer the messages are paged to the database, slowing everything down. Try 
experimenting with the destination paging parameters(see the users guide) and 
add a throttle to your sender.

I am not sure why the consumer falls behind so quickly.  True,  the producer 
does not do much,  but neither does the consumer,  and yet it is about 30% 
slower than the producer  which leads to the queue explosion.

For comparison,  the same test program run with SwiftMQ :


  | -- Sender
  | Sent per sec: 42514
  | Sent per sec: 43396
  | Sent per sec: 43816
  | Sent per sec: 44270
  | Sent per sec: 44444
  | Sent per sec: 43650
  | Sent per sec: 44212
  | Sent per sec: 43810
  | Sent per sec: 44092
  | Sent per sec: 43420
  | Sent per sec: 43831
  | Sent per sec: 43370
  | Sent per sec: 43816
  | Sent per sec: 44198
  | Sent per sec: 43982
  | Sent per sec: 43242
  | ...
  | Sent per sec: 44326
  | Sent per sec: 43464
  | Sent per sec: 43702
  | 
  | -- Receiver
  | Received per sec: 42808
  | Received per sec: 43986
  | Received per sec: 43652
  | Received per sec: 44426
  | Received per sec: 43966
  | Received per sec: 43680
  | Received per sec: 44176
  | Received per sec: 43709
  | Received per sec: 43986
  | Received per sec: 43832
  | Received per sec: 43364
  | Received per sec: 43673
  | Received per sec: 43816
  | Received per sec: 44264
  | Received per sec: 43826
  | Received per sec: 43314
  | ....
  | 
  | Received per sec: 44077
  | Received per sec: 43806
  | Received per sec: 43496
  | 

The consumer always manages to keep up with the producer.


VJ

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