Skip to main content

Improved API for aggregating using Subquery

Project description

Django SQL Utils

This package provides utilities for working with Django querysets so that you can generate the SQL that you want, with an API you enjoy.

Subquery Aggregates

The Count aggregation in Django:


generates SQL like the following:

SELECT parent.*, Count( as child_count
FROM parent
JOIN child on child.parent_id =

In many cases, this is not as performant as doing the count in a SUBQUERY instead of with a JOIN:

SELECT parent.*,
       (SELECT Count(id)
        FROM child
        WHERE parent_id = as child_count
FROM parent

Django allows us to generate this SQL using The Subquery and OuterRef classes:

subquery = Subquery(Child.objects.filter(parent_id=OuterRef('id')).order_by()
                    .values('count'), output_field=IntegerField())
Parent.objects.annotate(child_count=Coalesce(subquery, 0))

Holy cow! It’s not trivial to figure what everything is doing in the above code and it’s not particularly good for maintenance. SubqueryAggregates allow you to forget all that complexity and generate the subquery count like this:


Phew! Much easier to read and understand. It’s the same API as the original Count just specifying the Subquery version.

Easier API for Exists

If you have a Parent/Child relationship (Child has a ForeignKey to Parent), you can annotate a queryset of Parent objects with a boolean indicating whether or not the parent has children:

from django.db.models import Exists

parents = Parent.objects.annotate(

That’s a bit more boilerplate than should be necessary, so we provide a simpler API for Exists:

from sql_util.utils import Exists

parents = Parent.objects.annotate(

The child queryset can be filtered with the keyword argument filter. E.g.,:

parents = Parent.objects.annotate(
    has_child_named_John = Exists('child', filter=Q(name='John'))

The sql_util version of Exists can also take a queryset as the first parameter and behave just like the Django Exists class, so you are able to use it everywhere without worrying about name confusion.

Installation and Usage

Install from PyPI:

pip install django-sql-utils

Then you can:

from sql_util.utils import SubqueryCount

And use that as shown above.

In addition to SubqueryCount, this package provides

  • SubqueryMin
  • SubqueryMax
  • SubquerySum
  • SubqueryAvg

If you want to use other aggregates, you can use the generic SubqueryAggregate class. For example, if you want to use Postgres’ ArrayAgg to get an array of for each Parent:

from django.contrib.postgres.aggregates import ArrayAgg

aggregate = SubqueryAggregate('child__name', aggregate=ArrayAgg)

Or subclass SubqueryAggregate:

from django.contrib.postgres.aggregates import ArrayAgg

class SubqueryArrayAgg(SubqueryAggregate)
    aggregate = ArrayAgg
    unordered = True


Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for django-sql-utils, version 0.5.0
Filename, size File type Python version Upload date Hashes
Filename, size django_sql_utils-0.5.0-py3-none-any.whl (14.2 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size django-sql-utils-0.5.0.tar.gz (10.7 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page