On Feb 13, 2009, at 10:08 AM, Michael Bayer wrote:
> > > On Feb 13, 2009, at 4:07 AM, koranthala wrote: > >> >> Hi, >> I am working on a Python application which does approximately 1000 >> updates at a time every 3 seconds in a Sqlite File Database using >> SqlAlchemy. On timing it in a 2GHz machine, I found that it is taking >> ~1.01 seconds to do the same. >> Is it possible to increase the speed of the same? My application >> is quite a complex one, and taking 1 second for the updates is >> slowing >> the overall performance considerably. >> I checked Sqlite page - and they mention that 25000 text UPDATEs >> with an index (which is what I am doing) takes 2.4 seconds (this is >> Sqlite2 data - sqlite3 should be faster). I guess should mean that >> 1000 text UPDATEs should take 0.1 seconds. >> >> The inserts I do is as follows: >> BEGIN: >> 2009-02-13 14:34:40,703 INFO sqlalchemy.engine.base.Engine.0x..10 >> UPDATE data SET status=? WHERE data."index" = ? >> 2009-02-13 14:34:40,703 INFO sqlalchemy.engine.base.Engine.0x..10 >> ['True', 68762] >> >> ... >> (1000) >> ... >> >> COMMIT > oh sorry, you said "inserts" but your SQL says "UPDATE". for a single UPDATE statement of any style the Query has an update() method - read the docstrings for it carefully. For issuing 1000's distinct UPDATE statements each with different parameters very quickly, the same advice as before applies - use connection.execute(table.update(), [<dictionaries of parameters>]). --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To post to this group, send email to sqlalchemy@googlegroups.com To unsubscribe from this group, send email to sqlalchemy+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~----------~----~----~----~------~----~------~--~---
