Thanks anthony, I thought I'd be critized the hard way by some experienced users, so thanks for your quick, constructive and straightforward response, as always.
I really appreciate the quality of your job in web2py and the job for animating this user group. I admit not read the entire book, it's huge... but step by step I will finally cover it. Le mardi 21 avril 2015 17:09:28 UTC+2, Anthony a écrit : > > You should use the built-in connection pooling mechanism for this purpose. > See > http://web2py.com/books/default/chapter/29/06/the-database-abstraction-layer#Connection-pooling > . > > Anthony > > On Tuesday, April 21, 2015 at 11:05:32 AM UTC-4, Michel Krav wrote: >> >> Hi, >> my goal is to save time at each request processing. >> >> my context is a connection to an Oracle database with unfortunately poor >> network response, so >> in model.py , defining : >> dbo = DAL(uri , auto_import = False, migrate = False , lazy_tables = >> False) >> on every request it cost time to connect. >> >> So, I decided to save the DAL object in a global variable. >> I prefered doing >> current.dbo = dbo >> than >> session.dbo = dbo >> in the model file, as it's not user dependent. >> >> and finally store it in the application cache : >> current.dbo = cache.ram('dbo', lambda: dbo , time_expire=60*60) >> >> then I only define table in other model/file dedicated to controller in a >> conditional model way. >> >> after test and debug it seems to work well (fell like saving time >> connection) but is it web2py proofed ? >> >> >> >> >> -- 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) --- You received this message because you are subscribed to the Google Groups "web2py-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to web2py+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
