Started a 'Cheat sheet' section in aggregation docs because I desperately need this

git-svn-id: http://code.djangoproject.com/svn/django/trunk@17371 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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Adrian Holovaty 2012-01-13 21:57:30 +00:00
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@ -41,6 +41,42 @@ used to track the inventory for a series of online bookstores:
name = models.CharField(max_length=300)
books = models.ManyToManyField(Book)
Cheat sheet
===========
In a hurry? Here's how to do common aggregate queries, assuming the models above::
# Total number of books.
>>> Book.objects.count()
2452
# Total number of books with publisher=BaloneyPress
>>> Book.objects.filter(publisher__name='BaloneyPress').count()
73
# Average price across all books.
>>> from django.db.models import Avg
>>> Book.objects.all().aggregate(Avg('price'))
{'price__avg': 34.35}
# Max price across all books.
>>> from django.db.models import Max
>>> Book.objects.all().aggregate(Max('price'))
{'price__max': Decimal('81.20')}
# Each publisher, each with a count of books as a "num_books" attribute.
>>> from django.db.models import Count
>>> pubs = Publisher.objects.annotate(num_books=Count('book'))
>>> pubs
[<Publisher BaloneyPress>, <Publisher SalamiPress>, ...]
>>> pubs[0].num_books
73
# The top 5 publishers, in order by number of books.
>>> from django.db.models import Count
>>> pubs = Publisher.objects.annotate(num_books=Count('book')).order_by('-num_books')[:5]
>>> pubs[0].num_books
1323
Generating aggregates over a QuerySet
=====================================