Guys, Was wondering if we have 10 tables or so which are related to each other and are required during let's say report generation then if I specify eagerloading for all those attributes which are related to these tables then down the line as the records in the table grows the temp tables generated in the join (left outer in eagerloading) will be massive before appying the where clause. So I guess we should worry about this or is that fine as long as the tables are getting join on primary/foreign key as the query plan looks decent ?
I am doing this for 7-8 tables out of which data is growing continuously in couple tables with a factor of 2XN every month. I am worried if eagerloading may be a problem in the sense if it will bring the db server down to knees some day considering the joins happening ? FYI: the eager loading is specified at the Query level so that I can optimize where I really need. But currently it's faster as compared to executing individual query. And in my case if I go with individual queries due to lazy load it takes forever. And in many cases the request times out when using a web browser. So eargerloading is better but just worried about speed. Any good guidelines on how we should use eagerloading, best practises, any limitation etc ? -- Cheers, - A --~--~---------~--~----~------------~-------~--~----~ 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 [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~----------~----~----~----~------~----~------~--~---
