We can perform a GROUP BY ... COUNT
or a GROUP BY ... SUM
SQL equivalent queries on Django ORM, with the use of annotate()
, values()
, the django.db.models
's Count
and Sum
methods respectfully and optionally the order_by()
method:
GROUP BY ... COUNT:
from django.db.models import Count
result = Books.objects.values('author')
.order_by('author')
.annotate(count=Count('author'))
Now result contains a dictionary with two keys: author
and count
:
author | count
------------|-------
OneAuthor | 5
OtherAuthor | 2
... | ...
GROUP BY ... SUM:
from django.db.models import Sum
result = Books.objects.values('author')
.order_by('author')
.annotate(total_price=Sum('price'))
Now result contains a dictionary with two columns: author
and total_price
:
author | total_price
------------|-------------
OneAuthor | 100.35
OtherAuthor | 50.00
... | ...
UPDATE 13/04/2021
As @dgw points out in the comments, in the case that the model uses a meta option to order rows (ex. ordering
), the order_by()
clause is paramount for the success of the aggregation!
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