Parallels VM running on a 2.5GHz dual-core Mac mini. I really don't know
what Parallels uses.
On Monday, 17 March 2014 00:05:58 UTC-4, Massimo Di Pierro wrote:
>
> What kind of VM is this? What is the host platform? How many CPU cores? Is
> VM using all the cores? The only thing I can think of is the GIL and the
> fact that multithreaded code in python gets slower and slower the more
> cores I have. On my laptop, with two cores, I do not see any slow down.
> Rocket preallocate a thread pool. The rationale is that it decreases the
> latency time. Perhaps you can also try rocket in this way:
>
> web2py.py --minthreads=1 --maxthreads=1
>
> This will reduce the number of worker threads to 1. Rocket also runs a
> background non-worker thread that monitors worker threads and kills them if
> they get stuck.
>
> On Sunday, 16 March 2014 20:22:45 UTC-5, horridohobbyist wrote:
>>
>> Using gunicorn (Thanks, Massimo), I ran the full web2py Welcome code:
>>
>> Welcome: elapsed time: 0.0511929988861
>> Welcome: elapsed time: 0.0024790763855
>> Welcome: elapsed time: 0.00262713432312
>> Welcome: elapsed time: 0.00224614143372
>> Welcome: elapsed time: 0.00218415260315
>> Welcome: elapsed time: 0.00213503837585
>>
>> Oddly enough, it's slightly faster! But still 37% slower than the command
>> line execution.
>>
>> I'd really, really, **really** like to know why the shipping code is 10x
>> slower...
>>
>>
>> On Sunday, 16 March 2014 21:13:56 UTC-4, horridohobbyist wrote:
>>>
>>> Okay, I did the calculations test in my Linux VM using command line
>>> (fred0), Flask (hello0), and web2py (Welcome).
>>>
>>> fred0: elapsed time: 0.00159001350403
>>>
>>> fred0: elapsed time: 0.0015709400177
>>>
>>> fred0: elapsed time: 0.00156021118164
>>>
>>> fred0: elapsed time: 0.0015971660614
>>>
>>> fred0: elapsed time: 0.00315999984741
>>>
>>> hello0: elapsed time: 0.00271105766296
>>>
>>> hello0: elapsed time: 0.00213503837585
>>>
>>> hello0: elapsed time: 0.00195693969727
>>>
>>> hello0: elapsed time: 0.00224900245667
>>>
>>> hello0: elapsed time: 0.00205492973328
>>> Welcome: elapsed time: 0.0484869480133
>>>
>>> Welcome: elapsed time: 0.00296783447266
>>>
>>> Welcome: elapsed time: 0.00293898582458
>>>
>>> Welcome: elapsed time: 0.00300216674805
>>>
>>> Welcome: elapsed time: 0.00312614440918
>>>
>>> The Welcome discrepancy is just under 2x, not nearly as bad as 10x in my
>>> shipping code.
>>>
>>>
>>> On Sunday, 16 March 2014 17:52:00 UTC-4, Massimo Di Pierro wrote:
>>>>
>>>> In order to isolate the problem one must take it in steps. This is a
>>>> good test but you must first perform this test with the code you proposed
>>>> before:
>>>>
>>>> def test():
>>>> t = time.time
>>>> start = t()
>>>> x = 0.0
>>>> for i in range(1,5000):
>>>> x += (float(i+10)*(i+25)+175.0)/3.14
>>>> debug("elapsed time: "+str(t()-start))
>>>> return
>>>>
>>>> I would like to know the results about this test code first.
>>>>
>>>> The other code you are using performs an import:
>>>>
>>>> from shippackage import Package
>>>>
>>>>
>>>> Now that is something that is very different in web2py and flask for
>>>> example. In web2py the import is executed at every request (although it
>>>> should be cached by Python) while in flask it is executed only once. This
>>>> should also not cause a performance difference but it is a different test
>>>> than the one above.
>>>>
>>>> TLTR: we should test separately python code execution (which may be
>>>> affected by threading) and import statements (which may be affected by
>>>> web2py custom_import and/or module weird behavior).
>>>>
>>>>
>>>>
>>>> On Sunday, 16 March 2014 08:47:13 UTC-5, horridohobbyist wrote:
>>>>>
>>>>> I've conducted a test with Flask.
>>>>>
>>>>> fred.py is the command line program.
>>>>> hello.py is the Flask program.
>>>>> default.py is the Welcome controller.
>>>>> testdata.txt is the test data.
>>>>> shippackage.py is a required module.
>>>>>
>>>>> fred.py:
>>>>> 0.024 second
>>>>> 0.067 second
>>>>>
>>>>> hello.py:
>>>>> 0.029 second
>>>>> 0.073 second
>>>>>
>>>>> default.py:
>>>>> 0.27 second
>>>>> 0.78 second
>>>>>
>>>>> The Flask program is slightly slower than the command line. However,
>>>>> the Welcome app is about 10x slower!
>>>>>
>>>>> *Web2py is much, much slower than Flask.*
>>>>>
>>>>> I conducted the test in a Parallels VM running Ubuntu Server 12.04
>>>>> (1GB memory allocated). I have a 2.5GHz dual-core Mac mini with 8GB.
>>>>>
>>>>>
>>>>> I can't quite figure out how to use gunicom.
>>>>>
>>>>>
>>>>> On Saturday, 15 March 2014 23:41:49 UTC-4, horridohobbyist wrote:
>>>>>>
>>>>>> I'll see what I can do. It will take time for me to learn how to use
>>>>>> another framework.
>>>>>>
>>>>>> As for trying a different web server, my (production) Linux server is
>>>>>> intimately reliant on Apache. I'd have to learn how to use another web
>>>>>> server, and then try it in my Linux VM.
>>>>>>
>>>>>>
>>>>>> On Saturday, 15 March 2014 22:45:27 UTC-4, Anthony wrote:
>>>>>>>
>>>>>>> Are you able to replicate the exact task in another web framework,
>>>>>>> such as Flask (with the same server setup)?
>>>>>>>
>>>>>>> On Saturday, March 15, 2014 10:34:56 PM UTC-4, horridohobbyist wrote:
>>>>>>>>
>>>>>>>> Well, putting back all my apps hasn't widened the discrepancy. So I
>>>>>>>> don't know why my previous web2py installation was so slow.
>>>>>>>>
>>>>>>>> While the Welcome app with the calculations test shows a 2x
>>>>>>>> discrepancy, the original app that initiated this thread now shows a
>>>>>>>> 13x
>>>>>>>> discrepancy instead of 100x. That's certainly an improvement, but it's
>>>>>>>> still too slow.
>>>>>>>>
>>>>>>>> The size of the discrepancy depends on the code that is executed.
>>>>>>>> Clearly, what I'm doing in the original app (performing permutations)
>>>>>>>> is
>>>>>>>> more demanding than mere arithmetical operations. Hence, 13x vs 2x.
>>>>>>>>
>>>>>>>> I anxiously await any resolution to this performance issue, whether
>>>>>>>> it be in WSGI or in web2py. I'll check in on this thread
>>>>>>>> periodically...
>>>>>>>>
>>>>>>>>
>>>>>>>> On Saturday, 15 March 2014 16:19:12 UTC-4, horridohobbyist wrote:
>>>>>>>>>
>>>>>>>>> Interestingly, now that I've got a fresh install of web2py with
>>>>>>>>> only the Welcome app, my Welcome vs command line test shows a
>>>>>>>>> consistent 2x
>>>>>>>>> discrepancy, just as you had observed.
>>>>>>>>>
>>>>>>>>> My next step is to gradually add back all the other apps I had in
>>>>>>>>> web2py (I had 8 of them!) and see whether the discrepancy grows with
>>>>>>>>> the
>>>>>>>>> number of apps. That's the theory I'm working on.
>>>>>>>>>
>>>>>>>>> Yes, yes, I know, according to the Book, I shouldn't have so many
>>>>>>>>> apps installed in web2py. This apparently affects performance. But
>>>>>>>>> the
>>>>>>>>> truth is, most of those apps are hardly ever executed, so their
>>>>>>>>> existence
>>>>>>>>> merely represents a static overhead in web2py. In my mind, this
>>>>>>>>> shouldn't
>>>>>>>>> widen the discrepancy, but you never know.
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> On Saturday, 15 March 2014 11:19:06 UTC-4, Niphlod wrote:
>>>>>>>>>>
>>>>>>>>>> @mcm: you got me worried. Your test function was clocking a hell
>>>>>>>>>> lower than the original script. But then I found out why; one order
>>>>>>>>>> of
>>>>>>>>>> magnitude less (5000 vs 50000). Once that was corrected, you got the
>>>>>>>>>> exact
>>>>>>>>>> same clock times as "my app" (i.e. function directly in the
>>>>>>>>>> controller). I
>>>>>>>>>> also stripped out the logging part making the app just return the
>>>>>>>>>> result
>>>>>>>>>> and no visible changes to the timings happened.
>>>>>>>>>>
>>>>>>>>>> @hh: glad at least we got some grounds to hold on.
>>>>>>>>>> @mariano: compiled or not, it doesn't seem to "change" the mean.
>>>>>>>>>> a compiled app has just lower variance.
>>>>>>>>>>
>>>>>>>>>> @all: jlundell definitively hit something. Times are much more
>>>>>>>>>> lower when threads are 1.
>>>>>>>>>>
>>>>>>>>>> BTW: if I change "originalscript.py" to
>>>>>>>>>>
>>>>>>>>>> # -*- coding: utf-8 -*-
>>>>>>>>>> import time
>>>>>>>>>> import threading
>>>>>>>>>>
>>>>>>>>>> def test():
>>>>>>>>>> start = time.time()
>>>>>>>>>> x = 0.0
>>>>>>>>>> for i in range(1,50000):
>>>>>>>>>> x += (float(i+10)*(i+25)+175.0)/3.14
>>>>>>>>>> res = str(time.time()-start)
>>>>>>>>>> print "elapsed time: "+ res + '\n'
>>>>>>>>>>
>>>>>>>>>> if __name__ == '__main__':
>>>>>>>>>> t = threading.Thread(target=test)
>>>>>>>>>> t.start()
>>>>>>>>>> t.join()
>>>>>>>>>>
>>>>>>>>>> I'm getting really close timings to "wsgi environment, 1 thread
>>>>>>>>>> only" tests, i.e.
>>>>>>>>>> 0.23 min, 0.26 max, ~0.24 mean
>>>>>>>>>>
>>>>>>>>>>
--
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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