How can you retrieve models in Django, filtering out those where a specific attribute is null or empty?
If you’re using plain Python, you have access to operators such as !=
to negate an equality clause. But if you’re writing filter()
queries in Django, you can only use =
. To do more advanced queries, including except queries, you have a few options, including:
exclude
__isnull
field lookupAssume you have a User
object with an optional bio
field that is null
by default and set to ""
by some users.
class User(models.Model): name = models.CharField(max_length=100) bio = models.CharField(max_length=1000, blank=True, null=True, default=None)
The following examples show how to select the users with completed bio
fields.
exclude
The simplest way to exclude all objects where a specific field is null (None
) or empty (''
), is to chain exclude
filters.
To get all the users that have filled out their bio, you could use:
users = User.objects.exclude(bio='').exclude(bio=None)
__isnull
field lookupIf you want to filter out only those that are set to NULL
(equivalent to SQL IS NOT NULL
), use the following. Note that in this case, you’ll still get users with a blank (''
) bio
field.
users = User.objects.filter(bio__isnull=False)
For a simple case like this, you should avoid Django’s advanced Q objects
, but they can be useful in more complex cases, and they are easy to negate using ~
.
To use Q
, you first need to import it:
from django.db.models import Q
Now you can make two queries, one to look for bio=None
and one to look for bio=''
. You use the or operator (|
) to chain them together, and the not operator (~
) to invert the query. The following asks for the opposite of all users who have a null or blank bio.
users = User.objects.filter(~(Q(bio=None) | Q(bio='')))
Loved by over 4 million developers and more than 90,000 organizations worldwide, Sentry provides code-level observability to many of the world’s best-known companies like Disney, Peloton, Cloudflare, Eventbrite, Slack, Supercell, and Rockstar Games. Each month we process billions of exceptions from the most popular products on the internet.