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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