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Tools for automatically prefetching related objects in Django and Django-rest-framework

Project description

Django Auto-Prefetching

Never worry about n+1 performance problems again

This project aims to automatically perform the correct select_related and prefetch_related calls for your django-rest-framework code. It does this by inspecting your serializers, seeing what fields they use, and what models they refer to, and automatically calculating what needs to be prefetched.

Installation

pip install django_auto_prefetching

AutoPrefetchViewSetMixin

This is a ViewSet mixin you can use, which will automatically prefetch the needed objects from the database. In most circumstances this will be all the database optimizations you'll ever need to do:

Usage

Simply add it after your ModelViewSet class.

from django_auto_prefetching import AutoPrefetchViewSetMixin
from rest_framework.viewsets import ModelViewSet

class BaseModelViewSet(AutoPrefetchViewSetMixin, ModelViewSet):
    queryset = YourModel.objects.all()
    serializer_class = YourModelSerializer

It supports all types of relational fields, (many to many, one to many, one to one, etc.) out of the box.

Limitations

The AutoPrefetchViewSetMixin cannot see what objects are being accessed in e.g. a SerializerMethodField. If you use objects in there, you might need to do some additional prefetches.

from django_auto_prefetching import AutoPrefetchViewSetMixin
from rest_framework.viewsets import ModelViewSet

class BaseModelViewSet(AutoPrefetchViewSetMixin, ModelViewSet):
    serializer_class = YourModelSerializer

    def get_queryset(self):
            # Simply do the extra select_related / prefetch_related here
            # and leave the mixin to do the rest of the work
            queryset = YourModel.objects.all()
            queryset = queryset.select_related('my_extra_field')
            return queryset

Supported Versions

Currently the project is only being tested against the latest version of Python (3.7) and the latest version of Django(2.2) Pull Requests to support earlier versions of Django are welcome.

Maturity

The project is currently being used without issues in a medium-sized Django project(20.000 lines of code)

Contributing

Contributions are welcome! To get the tests running, do the following:

  • Clone the repository.
  • If you don't have it, install pipenv
  • Install the dependencies with pipenv sync --dev
  • Activate the virtualenv created by pipenv by writing pipenv shell
  • Run the tests with ./manage.py test

LICENSE:

MIT

Project details


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