Examples

The bulk views (and mixins) are very similar to Django REST Framework’s own generic views (and mixins)

from rest_framework_bulk import (
    BulkListSerializer,
    BulkSerializerMixin,
    ListBulkCreateUpdateDestroyAPIView,
)

class FooSerializer(BulkSerializerMixin, ModelSerializer):
    class Meta(object):
        model = FooModel
        # only necessary in DRF3
        list_serializer_class = BulkListSerializer

class FooView(ListBulkCreateUpdateDestroyAPIView):
    queryset = FooModel.objects.all()
    serializer_class = FooSerializer

The above will allow to create the following queries:

  • GET

# list queryset
GET
  • POST

# create single resource
# json object in request data
{"field":"value","field2":"value2"}
  • POST

# create multiple resources
# json list of objects in data
[{"field":"value","field2":"value2"}]
  • PUT

# update multiple resources (requires all fields)
# json list of objects in data
[{"field":"value","field2":"value2"}]
  • PATCH

# partial update multiple resources
# json list of objects in data
[{"field":"value"}]
  • DELETE (for more info, see Notes)

# delete queryset
# json list of ids of objects to be deleted
[id1, id2, id3 ...]

Router

The bulk router can automatically map the bulk actions.

from rest_framework_bulk.routes import BulkRouter

class UserViewSet(BulkModelViewSet):
    model = User

    def allow_bulk_destroy(self, qs, filtered):
        """Don't forget to fine-grain this method"""

router = BulkRouter()
router.register(r'users', UserViewSet)

Rest Framework V3

Django REST Framework made many API changes which included major changes in serializers. As a result, please note the following in order to use DRF-bulk with DRF3:

  • You must specify custom list_serializer_class if your view(set) will require update functionality (when using BulkUpdateModelMixin)

  • DRF3 removes read-only fields from serializer.validated_data. As a result, it is impossible to correlate each validated_data in ListSerializer with a model instance to update since validated_data will be missing the model primary key since that is a read-only field. To deal with that, you must use BulkSerializerMixin mixin in your serializer class which will add the model primary key field back to the validated_data. By default id field is used however you can customize that field by using update_lookup_field in the serializers Meta.

class FooSerializer(BulkSerializerMixin, ModelSerializer):
    class Meta(object):
        model = FooModel
        list_serializer_class = BulkListSerializer
        update_lookup_field = 'slug'

Notes

Most API urls have two URL levels for each resource:

  1. url(r'foo/', ...)

  2. url(r'foo/(?P<pk>\d+)/', ...)

The second url however is not applicable for bulk operations because the url directly maps to a single resource. Therefore all bulk generic views only apply to the first url.

There are multiple generic view classes in case only a certail bulk functionality is required. For example ListBulkCreateAPIView will only do bulk operations for creating resources. For a complete list of available generic view classes, please take a look at the source code at generics.py as it is mostly self-explanatory.

Most bulk operations are pretty safe in terms of how they operate, that is you explicitly describe all requests. For example, if you need to update 3 specific resources, you have to explicitly identify those resources in the request’s PUT or PATCH data. The only exception to this is bulk delete. Consider a DELETE request to the first url. That can potentially delete all resources without any special confirmation. To try to account for this, bulk delete mixin allows to implement a hook to determine if the bulk delete request should be allowed.

class FooView(BulkDestroyAPIView):
    def allow_bulk_destroy(self, qs, filtered):
        # custom logic here

        # default checks if the qs was filtered
        # qs comes from self.get_queryset()
        # filtered comes from self.filter_queryset(qs)
        return qs is not filtered

By default it checks if the queryset was filtered and if not will not allow the bulk delete to complete. The logic here is that if the request is filtered to only get certain resources, more attention was payed hence the action is less likely to be accidental. On how to filter requests, please refer to Django REST docs. Either way, please use bulk deletes with extreme caution since they can be dangerous.