@Dave: It is not a 1-to1 as I would like each borrower to provide his own rating, and then compute the average ratings per book - to make recommendations for the highest rated books.
Thanks for the example in the reply too. I will try out the SQL update shortly. @ Russ: Thanks too for the input. I will read up on signals - this is news! The denormalization - same comment as above. I'm going to try the SQL computation first, then will look at signals. The probem: I want to calculate the average rating in the BookRatings model each time an individual rating of a book is captured in the Loan model. --~--~---------~--~----~------------~-------~--~----~ 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 django-users+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/django-users?hl=en -~----------~----~----~----~------~----~------~--~---
