First, I don't know how to use the profiler.
Second, for something as trivially simple as the Welcome app with the
calculation loop, what is the profiler going to tell us? That simple
multiplication and division are too slow? That the for loop is somehow
broken?
Should I try to profile the entirety of the web2py framework?
Clearly, the Welcome app is pointing to a fundamental issue with my
Ubuntu/Apache2/Python/web2py installation (assuming no one else can
replicate the problem). As the Linux server is a production system, I am
limited to how much tinkering I can actually do on it.
BTW, how does one actually shutdown web2py once it's installed and running
via Apache?
On Friday, 14 March 2014 14:00:35 UTC-4, Michele Comitini wrote:
>
> Please try to profile as suggested we need more info.
>
> 2014-03-14 18:18 GMT+01:00 horridohobbyist
> <horrido...@gmail.com<javascript:>>:
>
> > I originally installed web2py according to the Book. This was several
> years
> > ago.
> >
> > I recently upgraded to the latest version, but I had to do it manually,
> as
> > the administrative interface had all kinds of permission problems with
> the
> > upgrade.
> >
> > I have a Dell server box, 2.4GHz quad-core Xeon with 4GB of RAM and
> 500GB
> > hard drive. It's running Ubuntu Server 10.04.
> >
> >
> > On Friday, 14 March 2014 12:26:44 UTC-4, Massimo Di Pierro wrote:
> >>
> >> Just adding one datapoint. I am trying this with my mac. In both cases
> I
> >> see 0.002xx seconds. Therefore I cannot reproduce the discrepancy.
> >> Are you using web2py from source? What kind of machine do you have?
> >>
> >> Massimo
> >>
> >> On Friday, 14 March 2014 08:28:48 UTC-5, horridohobbyist wrote:
> >>>
> >>> I conducted a simple experiment. I took the "Welcome" app, surely the
> >>> simplest you can have (no databases, no concurrency, etc.), and added
> the
> >>> following to the index page:
> >>>
> >>> def test():
> >>> start = time.time()
> >>> x = 0.0
> >>> for i in range(1,5000):
> >>> x += (float(i+10)*(i+25)+175.0)/3.14
> >>> debug("elapsed time: "+str(time.time()-start))
> >>> return
> >>>
> >>> I get an elapsed time of 0.103 seconds.
> >>>
> >>> The same exact code in a command line program...
> >>>
> >>> if __name__ == '__main__':
> >>> test()
> >>>
> >>> gives an elapsed time of 0.003 seconds. That's 35 times faster! It's
> not
> >>> the 2 orders of magnitude I'm seeing in the pyShipping code, but my
> point is
> >>> proven. There is something hinky about web2py that makes Python code
> execute
> >>> much more slowly. Is web2py using a different Python version? As far
> as I
> >>> can tell, I only have Python 2.6.5 installed on my Linux server.
> >>>
> >>>
> >>> On Friday, 14 March 2014 08:17:00 UTC-4, Leonel Câmara wrote:
> >>>>
> >>>> If you have a performance issue why haven't you used a profiler yet?
> No
> >>>> one is going to "guess" it,
> >>>>
> >>>> web2py.py -F foldername
> >>>>
> >>>> Then use something like runsnakerun or pstats.
> >
> > --
> > Resources:
> > - http://web2py.com
> > - http://web2py.com/book (Documentation)
> > - http://github.com/web2py/web2py (Source code)
> > - https://code.google.com/p/web2py/issues/list (Report Issues)
> > ---
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> > email to web2py+un...@googlegroups.com <javascript:>.
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>
--
Resources:
- http://web2py.com
- http://web2py.com/book (Documentation)
- http://github.com/web2py/web2py (Source code)
- https://code.google.com/p/web2py/issues/list (Report Issues)
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