Please try to profile as suggested we need more info.
2014-03-14 18:18 GMT+01:00 horridohobbyist <horrido.hobb...@gmail.com>:
> 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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--
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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