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[](https://codecov.io/gh/tfoxy/graphene-django-optimizer)
[](https://pypi.org/project/graphene-django-optimizer/)


Optimize queries executed by [graphene-django](https://github.com/graphql-python/graphene-django) automatically, using [`select_related`](https://docs.djangoproject.com/en/2.0/ref/models/querysets/#select-related), [`prefetch_related`](https://docs.djangoproject.com/en/2.0/ref/models/querysets/#prefetch-related) and [`only`](https://docs.djangoproject.com/en/2.0/ref/models/querysets/#only) methods of Django QuerySet.
Having the following schema based on [the tutorial of graphene-django](http://docs.graphene-python.org/projects/django/en/latest/tutorial-plain/#hello-graphql-schema-and-object-types) (notice the use of `gql_optimizer`)
```py
# cookbook/ingredients/schema.py
import graphene
from graphene_django.types import DjangoObjectType
import graphene_django_optimizer as gql_optimizer
from cookbook.ingredients.models import Category, Ingredient
class CategoryType(DjangoObjectType):
class Meta:
model = Category
class IngredientType(DjangoObjectType):
class Meta:
model = Ingredient
class Query(object):
all_categories = graphene.List(CategoryType)
all_ingredients = graphene.List(IngredientType)
def resolve_all_categories(root, info):
return gql_optimizer.query(Category.objects.all(), info)
def resolve_all_ingredients(root, info):
return gql_optimizer.query(Ingredient.objects.all(), info)
```
We will show some graphql queries and the queryset that will be executed.
Fetching all the ingredients with the related category:
```graphql
{
all_ingredients {
id
name
category {
id
name
}
}
}
```
```py
ingredients = (
Ingredient.objects
.select_related('category')
.only('id', 'name', 'category__id', 'category__name')
)
```
Fetching all the categories with the related ingredients:
```graphql
{
all_categories {
id
name
ingredients {
id
name
}
}
}
```
```py