On Friday 05 June 2009 21:03:20 mdipierro wrote:
> Can you tell us more about the setup, os, hardward etc. is mysql on
> the same machine?
Kubuntu 8.04. Turion64 1.6GHz, 1.6G RAM. MySQL is on the same box. SiS 
motherboard w/ nForce chipset. Laptop 3 years old (and it was about 1 year 
old model when was bought).

> How much is the the SQLDB() vs the define_tables? Do you have many
> tables? how long?
16 tables, 152 SQLFields. single SQLDB (currently MySQL, but I'll switch it 
back to SQLite)

> One trick is to add is statements in the model so that only those
> tables needed are defined, depending on request.controller and
> request.action.
yes, I thought of that. But that makes it inflexible. That's why I suggested 
lazy tables init. 

And regarding 'turion is not very fast'. I don't really have any load on this 
box. So 0.5 seconds per GET is VERY slow. 8-years old Celeron 800 should be 
behaving something like 0.05 seconds per request (of course with ad-hoc 
programming, no DAL).

This is not the empty complaint. We can't really afford saying 'throw in more 
CPU'. If web2py targets GAE - then it absolutely must be CPU-friendly. GAE 
can help with adding more nodes but it charges for processor time anyways.
And actually the same goes about dedicated hosting too. If someone targets 
only a few visitors per day - it's ok. But not if we want tens and hundreds 
pageloads per second.

> On Jun 5, 11:29 am, Alexey Nezhdanov <[email protected]> wrote:
> > On Friday 05 June 2009 17:07:55 mdipierro wrote:> In a production
> > environment you would be using mysql or postgresql. In
> >
> > > this case you should be using
> > >
> > > SQLDB(...,pool_size=10)
> > > dn.define_table(....,migrate=False)
> > >
> > > the connection pooling and migrations off make a big difference.
> > > Perhaps you can run some tests and quantify this.
> >
> > migrate=False makes cuts the model init time in half - now I'm getting
> > about 0.15-0.17s each time. Testing MySQL, stand by...
> >
> > Hmmm.
> > 0.21...0.25s with mysql and migrations off... and pool_size=10.
> >
> > > When using sqlite you cannot use pooling and that means web2py has to
> > > open the db every time.
> > >
> > > Massimo
> > >
> > > On Jun 5, 2:58 am, Alexey Nezhdanov <[email protected]> wrote:
> > > > 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
> >
> > --
> > Sincerely yours
> > Alexey Nezhdanov
>
> 


-- 
Sincerely yours
Alexey Nezhdanov

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