Hello again.
Recently I measured the perfomance of web2py regarding to 'milliseconds per 
request'. Got some unexpected results. The most slow part of the application 
is the model. It takes 40-60% of total time. Measurement was done simply by 
putting
import time;print time.time(),'model start'
at the beginning of db.py and similar line at the end of it. Here is what it 
produces on my laptop (Turion64, 1.6GHz, 1.5G RAM):

1244187446.32 model start
1244187446.62 model stop
0.3 second just to set up the model! I can live with 0.05 for it, may be even 
0.1, but 0.3 for _each_ GET or POST request is a bit too much, don't you 
think?
That is for not too complex model - 17 tables, averaging 8.6 SQLFields per 
one. On another web2py project it takes 0.38...0.42 second each time :(

I tried compiling my app and measuring again:
1244187625.31 model start
1244187625.69 model stop
Not any better. In fact, it's even worse, but since results vary from run to 
run I suspect that it is just the same perfomance.

Massimo, as I know you've been working on new model for some time already.
Is there any hope of having a faster model? I suspect more lazy evaluation 
should do the magic, but I didn't do any research yet.

Frankly speaking when I first discovered the fact that web2py always 
_executes_ model, controller, view, I thought that it may be a perfomance 
hog. Until I actually did that check I thought that it will execute db.py 
each time it changes on-disk and then just keep built structures somewhere 
around, probably pickled. May be it is still possible to use that approach to 
some extent?

Or may be I am just completely missing the point. Please comment.

-- 
Sincerely yours
Alexey Nezhdanov

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