I’m using Django Paginator everywhere on my website and even wrote a special template tag, to make it more convenient. But now I got to a state, where I need to make a complex custom raw SQL query, that without a LIMIT will return about 100K records.
How can I use Django Pagintor with custom query?
Simplified example of my problem:
My model:
class PersonManager(models.Manager):
def complicated_list(self):
from django.db import connection
#Real query is much more complex
cursor.execute("""SELECT * FROM `myapp_person`""");
result_list = []
for row in cursor.fetchall():
result_list.append(row[0]);
return result_list
class Person(models.Model):
name = models.CharField(max_length=255);
surname = models.CharField(max_length=255);
age = models.IntegerField();
objects = PersonManager();
The way I use pagintation with Django ORM:
all_objects = Person.objects.all();
paginator = Paginator(all_objects, 10);
try:
page = int(request.GET.get('page', '1'))
except ValueError:
page = 1
try:
persons = paginator.page(page)
except (EmptyPage, InvalidPage):
persons = paginator.page(paginator.num_pages)
This way, Django get very smart, and adds LIMIT to a query when executing it. But when I use custom manager:
all_objects = Person.objects.complicated_list();
all data is selected, and only then python list is sliced, which is VERY slow. How can I make my custom manager behave similar like built in one?
Looking at Paginator’s source code, page() function in particular, I think that it’s only matter of implementing slicing on your side, and translating that to relevant LIMIT clause in SQL query. You might also need to add some caching, but this starts to look like QuerySet, so maybe you can do something else:
(For your information – I’ve been using this approach for a long time now, even with complex many-to-many relationships with VIEWs faking m2m intermediate tables.)