On 24 June 2011 00:12, Kirk <[email protected]> wrote:
>
> On Jun 24, 2011, at 12:53 AM, Deepak Shetty wrote:
>
>>> Can you elaborate some more about why the Thread starvation occurs?
>> Im not sure if the terminology accurately describes the issue . But lets say
>> you run a test with X number of threads and you want to simulate Y requests
>> per second (the most common use case is a background load while you test
>> adding some new functionality). If the server starts responding slower then
>> each Jmeter thread will wait longer and you might run into a situation where
>> you cannot simulate Y requests per second since there are no threads
>> available to make new request (hence I guess 'thread starvation' but the
>> term means something else to me) to keep up the Y requests/second
>
> It means, keep up the Y requests / time unit... and you cannot do that with 
> JMeter or any other load test harness with a similar threading model. This 
> threading model is easy to write, easy to understand but self throttling. 
> Event base models are harder to understand, more difficult to implement but 
> open by design and less likely to self throttle.

What I would do here is increase the number of threads.
This will allow more requests to be generated, at least until the
number of threads / memory use starts to be an issue.
At which point, add another JMeter client to share the load.

Or am I overlooking something?

> Regards,
> Kirk
>
>>
>> regards
>> deepak
>>
>>
>>
>> On Thu, Jun 23, 2011 at 3:34 PM, Barrie Treloar <[email protected]> wrote:
>>
>>> On Fri, Jun 24, 2011 at 2:50 AM, Kirk <[email protected]> wrote:
>>>> If I'm expecting an incoming tx rate of 200 requests per second and
>>> JMeter doesn't have the threads to sustain it.. then I would consider JMeter
>>> to be a bottleneck in the test. This is because the artificially throttling
>>> of the overall system (thread starvation in JMeter) can result a load
>>> pattern that doesn't properly expose an underlying bottleneck. This is what
>>> I've run into in a couple of accounts. Problem in these cases is that
>>> developers are looking into the application and not seeing where the real
>>> problem is.
>>>
>>> I'm newish to the list, so I haven't seen this discussion before.
>>> Can you elaborate some more about why the Thread starvation occurs?
>>>
>>>> The other issue is that it's hard to setup a JMeter script so that it
>>> sustains an expected workload on a server. This is why I've suggested,
>>> teach, demonstrate and continue to use ThreadGroup in a way that you
>>> yourself called "bizarre". Yet using that model I'm able to simulation 1000s
>>> of users in a single JMeter instance all doing the right thing (or as much
>>> of a right thing as the current HTTP samplers allow for). And yup, I've got
>>> a ThreadGroup replacement sketched out on my whiteboard, now to find some
>>> cycles to make it real. I think it should eliminate the need for the
>>> constant throughput timer (but, who knows ;-)).
>>>
>>> And same with this one, what do you do differently with ThreadGroups and
>>> why?
>>>
>>>> Also, it would be really really nice to normalize the priority behavior
>>> of some of the components such as the timers. IME, how timers work is 1) not
>>> intuitive and hence difficult for newbies to get right and 2) creates extra
>>> work trying to get the timers to behave (i.e, the test action or simple
>>> controller hack around).
>>>
>>> I'm definitely interested in this, what specifically about priorities.
>>> I'm in the camp of hacking the timers to get it to behave "correctly".
>>> At least its better than the perl script we've currently got that
>>> calculates a bunch of values to try to set ramp up/throughput times to
>>> get what we are looking for.
>>>
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