Abandoned a écrit : (snip) > I'm very confused :( > I try to explain main problem... > I have a table like this: > id-1 | id-2 | value > 23 24 34 > 56 68 66 > 56 98 32455 > 55 62 655 > 56 28 123 > .... ( 3 millions elements) > > I select where id=56 and 100.000 rows are selecting but this took 2 > second. (very big for my project)
Not to bad in the absolute. > I try cache to speed up this select operation.. > And create a cache table: > id-1 | all > 56 {68:66, 98:32455, 62:655} I really doubt this is the right way to go. > When i select where id 56 i select 1 row and its took 0.09 second but > i must convert text to dictionary.. > > Have you got any idea what can i do this conver operation ? Other alread answered > Have you got any idea what can i do cache for this table ? Depends on your RDBMS. And as far as I'm concerned, I'd start by trying to find out how to optimize this query within the RDBMS - good ones are usually highly optimized softwares with provision for quite a lot of performance tuning. -- http://mail.python.org/mailman/listinfo/python-list