A Dilluns, 22 d'abril de 2013 11:24:15, Udo Spallek va escriure:
> Wed, 17 Apr 2013 09:15:37 +0200
> 
> Cédric Krier <[email protected]>:
> >On 16/04/13 20:54 -0700, Ian Wilson wrote:
> >> Is tryton tested against large datasets?  I can imagine datasets
> >> might have 10000-10000 parties as well.
> >> Maybe if a test script was setup for performance testing (only
> >> against official modules) it would be easier for me to tell if my
> >> custom modules are causing a problem or not.  And easier to catch
> >> tryton changes that introduce significant performance problems.
> >
> >I don't see how it is possible to do so. Result will depend on the
> >machine.
> 
> We could try a test script and measuring the pystones.
> It is a whetstone[1] implementation for python and found in the stdlib
> *test*.
> The idea is to run a fixed script on an individual computer hardware and
> 
> measures the run time and a ratio compared to a reference computer:
> >>> from test import pystone
> >>> time_running, mypystones = pystone.pystones()
> >>> mypystones
> 
> 125000.0
> 
> My computer has 125000 pystones or 125 kpystones.
> 
> If I have a test which takes 1.4 seconds to run on my hardware, I can
> 
> calculate the kilo pystones for the test:
> >>> kpystones = mypystones * 1.4 / 1000
> >>> kpystones
> 
> 175.0
> 
> The test with 175 kpystones are comparable on different computers - in
> theory.
> 
> On the other hand is the performance of the Tryton server affected by
> many different technologies, not only cpython.
> So I don't know if we have a chance to compare the timings of the test
> results at all.

I don't think that works. We're talking about CPU, RAM, HD Speed, running 
applications, etc, etc.

> 
> Cheers Udo
> 
> [1]http://en.wikipedia.org/wiki/Whetstone_%28benchmark%29
> --
> virtual things
> Preisler & Spallek GbR
> München - Aachen
> 
> Windeckstr. 77
> 81375 München
> Tel: +49 (89) 710 481 55
> Fax: +49 (89) 710 481 56
> 
> [email protected]
> http://www.virtual-things.biz

-- 
Albert Cervera i Areny
http://www.NaN-tic.com
Tel: +34 93 553 18 03

http://twitter.com/albertnan 
http://www.nan-tic.com/blog

Reply via email to