Re: Bad TPS number reported by the console

This is to do with what you are instrumenting, not the logging.

getattr will return some internal Jython object that represents the
bound method. You're instrumenting all methods of this internal Jython
object. When you invoke it, the call path is crossing multiple (7!)
instrumented methods, but that's completely down to how Jython is
implemented.

Instead I think you should try to instrument the sendData method itself.
Try something like:

    Test(...).record(impl.sendData)

    ...

    spResp = impl.sendData(....)


- Phil




On 02/10/13 10:35, olivier merlin wrote:
> Hello,
>
> I try to switch our grinder framework to grinder 3.11 and i get a
> problem on the TPS count.
>
> When i inject a constant rate of 3 TPS, after a period of X minutes,
> the console write a throughput of 21 TPS so x7 the real throughput.
>
> When looking in the grinder-data_X.log file i see that 3 thread per
> second is there but each threads write in the data log 7 times !
>
> I'm quite sure it's a problem of instrumentation somewhere similar to
> the bug entered by Phil on the #234  helloworld sample double counts
> <http://sourceforge.net/p/grinder/bugs/234/>
>
> *We are using the old way for instrumenting:*
> (...)
>  testSubmit = Test(testId, line.getTestName()).wrap(getattr(impl,
> "sendData"))
> (...)
> spResp = testSubmit(submitCmd,
> line.isMemorized(),line.getLastTemplate(), self.memMgr)
> (...)
>
> The impl is a protocol implementation that may change between test -
> that implements sendData() method.
> The problem is perhaps that i switch the logs to logback
>  (grinder.logger) in all the implementations (like the #234) ... thus
> leading to a test record for each logging ?
>
> Do i have to completely change my way of instrumenting ?
> Or do i have to use distinct logger from the grinder.logger to avoid
> this king of problem ...
>
> Does someone encounter the same trouble ?
>
> cheers,
> Olivier

------------------------------------------------------------------------------
October Webinars: Code for Performance
Free Intel webinars can help you accelerate application performance.
Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from 
the latest Intel processors and coprocessors. See abstracts and register >
http://pubads.g.doubleclick.net/gampad/clk?id=60134791&iu=/4140/ostg.clktrk

_______________________________________________
grinder-use mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/grinder-use