G'day

 

The addition of a JavaScript function call to test plan appears to create a
large performance hit when the number of JMeter threads is large (in this
case 1,000).

 

I have a very simple sampler (made for this testing).

 

Running the sampler under a simple test plan that includes a user defined
variable set to a constant I can get through 1.0M samples per minute. The
system under test runs at 96% CPU utilisation.

 

If I change the constant in the user defined variable to a very simple Java
script to add 1 to a(n existing) variable, the throughput goes down to about
49,000 samples per minute and the best I can get out of the system under
test is 38% CPU utilisation. 

 

It looks, from the drop in CPU utilisation, like JMeter queues or single
threads on the Java Script. (Which may be entirely reasonable - I haven't
thought through how the JavaScript function would have to be implemented for
correct operation in a multi-threaded environment).

 

The details are attached.

 

I can get around this by coding some very simple samplers to take the place
of each different Java script I use in my real test plan. I expect to take a
performance hit compared to 1.1M samples per minute but I don't think it
will be of the same order as the JavaScript hit and I will be able to live
with it.

 

(And, no, I don't need to hit my system under test at 1M samples a minute.
But I did need to explain why I wasn't getting better CPU utilisation using
a more complex test plan operating in the 60,000 sample per minute region
and I'm confident this is the reason. When I replace the JavaScript calls
with Samplers (or something else) I expect to get a lot more samples done
with a lot less kit.)

 

 

 

 

 

 

Ian Blavins

Contract Performance Engineer

Temenos

 




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