Another question for you all. As soon as I get my model.py ironed out for my existing DB I'm going to starting using the python db interface to see if things look good. Which means of course that I'll want to duplicate some of the queries that the existing app does.
The site maintains the results, standings, and stats for a baseball league. It has queries like: select number, name, win, loss, tie, streak, streak_type, win/(win+loss+tie)*1.000 wpct, win*2+tie points, win+loss+tie GP, gamesinseason.games - (win+loss+tie) GL from stand_overall, gamesinseason, team where team.year = %s && gamesinseason.year = team.year && stand_overall.team = team.ID order by points desc, win desc, tie desc, loss and select First_name, Last_name, sum(ab) ab, sum(runs) r, sum(1b) s, s um(2b) d, sum(3b) t, sum(hr) hr, sum(hbp) hbp, sum(bb) bb, sum(ko) ko, sum(1b+2b+3b+hr) hits, (sum(1b)+sum(2b)+sum(3b)+sum(hr))/sum(ab)*1.0000 avg, sum(bb)/(sum(bb)+sum(ab))*1.0000 bb, (sum(1b)+sum(2b)+sum(3b)+sum(hr)+sum(bb)+sum(hbp))/(sum(ab)+sum(bb)+sum(hbp))*1.0000 ob, (sum(1b)+2*sum(2b)+3*sum(3b)+4*sum(hr))/sum(ab)*1.0000 as slug, sum(runs)/(sum(1b)+sum(2b)+sum(3b)+sum(hr)+sum(bb)+sum(hbp))*1 .0000 score, sum(ko)/(sum(ab)+sum(bb)+sum(hbp))*1.0000 kperapp from player, offensive_stats, game where player.ID = offensive_stats.player && game.ID = offensive_stats.game && player.First_name = %s && player.Last_name = %s group by First_name, Last_name My question revolves around how I should get similar results in django. From what I can tell I should be subclassing a Manager so I can return my own QuerySets. I don't think the writing custom SQL with connection.cursor() is the way to go. Am I on the right path? Again thanks in advance. --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Django users" group. To post to this group, send email to django-users@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/django-users -~----------~----~----~----~------~----~------~--~---