Save models with update_fields for better performance in Django

TIL that you can specify update_fields while saving a Django model to generate a leaner underlying SQL query. This yields better performance while updating multiple objects in a tight loop. To test that, I’m opening an IPython shell with python manage.py shell -i ipython command and creating a few user objects with the following lines:

In [1]: from django.contrib.auth import User

In [2]: for i in range(1000):
   ...:     fname, lname = f'foo_{i}', f'bar_{i}'
   ...:     User.objects.create(
   ...:         first_name=fname, last_name=lname, username=f'{fname}-{lname}')
   ...:

Here’s the underlying query Django generates when you’re trying to save a single object:

In [3]: from django.db import reset_queries, connections

In [4]: reset_queries()

In [5]: user_0 = User.objects.first()

In [6]: user_0.first_name = 'foo_updated'

In [7]: user_0.save()

In [8]: connection.queries

This will print:

[
    ...,
    {
        "sql": 'UPDATE "auth_user"
        SET "password" = \'\', "last_login" = NULL, "is_superuser" = 0,
        "username" = \'foo_0-bar_0\', "first_name" = \'foo_updated\',
        "last_name" = \'bar_0\', "email" = \'\', "is_staff" = 0,
        "is_active" = 1, "date_joined" = \'2022-11-09 22:27:39.291676\'
        WHERE "auth_user"."id" = 1002',
        "time": "0.009",
    },
]

If you inspect the query, you’ll see that although we’re only updating the first_name field on the user_0 object, Django is generating a query that updates all the underlying fields on the object. The SQL query always passes the pre-existing values of the fields that weren’t touched. This might seem trivial, but what if the model consisted of 20 fields and you need to call save() on it frequently? At a certain scale the database query that updates all of your columns every time you call save() can start becoming expensive.

Specifying update_fields inside the save() method can make the query leaner. Consider this:

In[9]: reset_queries()

In[10]: user_0.first_name = "foo_updated_again"

In[11]: user_0.save(update_fields=["first_name"])

In[12]: connection.queries

This prints:

[
    {'sql': 'UPDATE "auth_user" SET "first_name" = \'changed_again\'
      WHERE "auth_user"."id" = 1002',
      'time': '0.008'
    }
]

You can see this time, Django generates a SQL that only updates the specific field we want and doesn’t send any redundant data over the wire. The following snippet quantifies the performance gain while updating 1000 objects in a tight loop:

# src.py
import os
import time

import django

os.environ.setdefault("DJANGO_SETTINGS_MODULE", "mysite.settings")
django.setup()

from django.contrib.auth.models import User

# Create 1000 users.
for i in range(1000):
    User.objects.create_user(
        first_name=f"foo_{i}",
        last_name=f"bar_{i}",
        username=f"foo_{i}-bar_{i}",
    )

############### Update all users with '.save()' ###############
s1 = time.perf_counter()

for i, user in zip(range(1000), User.objects.all()):
    user.first_name = f"foo_updated_{i}"
    user.save()

e1 = time.perf_counter()
t1 = e1 - s1

print(f"User.save(): {t1:.2f}s")
###############################################################

###### Update all users with '.save(update_fields=[...])'######
s2 = time.perf_counter()

for i, user in zip(range(1000), User.objects.all()):
    user.first_name = f"foo_updated_again_{i}"
    user.save(update_fields=["first_name"])

e2 = time.perf_counter()
t2 = e2 - s2

print(f"User.save(update_fields=[...]): {t2:.2f}s")
###############################################################

print(
    f"User.save(update_fields=[...] is {t1 / t2:.2f}x faster than User.save()"
)

Running this script will print the following:

User.save(): 1.86s
User.save(update_fields=[...]): 1.77s
User.save(update_fields=[...] is 1.05x faster than User.save()

You can see that User.save(updated_fields=[...]) is a tad bit faster than plain User.save.

Should you always use it?

Probably not. While the performance gain is measurable when you’re updating multiple objects in a loop, it’s quite negligible if the object count is low. Also, this adds maintenance overhead as any time you change the model, you’ll have to remember to keep the Model.save(update_fields=[...]) in sync. If you forget to add a field to the update_fields, Django will silently ignore the incoming data against that field and data will be lost.

Save models with update_fields for better performance in Django

Should you always use it?

References

Recent posts

Should you always use it?#

References#

Recent posts

Should you always use it?

References