While it can be a complex process at times, upgrading to the latest Django version has several benefits:
New features and improvements are added.
Bugs are fixed.
Older version of Django will eventually no longer receive security updates. (see Supported versions).
Upgrading as each new Django release is available makes future upgrades less painful by keeping your code base up to date.
Here are some things to consider to help make your upgrade process as smooth as possible.
If it’s your first time doing an upgrade, it is useful to read the guide on the different release processes.
Afterwards, you should familiarize yourself with the changes that were made in the new Django version(s):
Read the release notes for each ‘final’ release from the one after your current Django version, up to and including the version to which you plan to upgrade.
Look at the deprecation timeline for the relevant versions.
Pay particular attention to backwards incompatible changes to get a clear idea of what will be needed for a successful upgrade.
If you’re upgrading through more than one feature version (e.g. 2.0 to 2.2), it’s usually easier to upgrade through each feature release incrementally (2.0 to 2.1 to 2.2) rather than to make all the changes for each feature release at once. For each feature release, use the latest patch release (e.g. for 2.1, use 2.1.15).
The same incremental upgrade approach is recommended when upgrading from one LTS to the next.
In most cases it will be necessary to upgrade to the latest version of your Django-related dependencies as well. If the Django version was recently released or if some of your dependencies are not well-maintained, some of your dependencies may not yet support the new Django version. In these cases you may have to wait until new versions of your dependencies are released.
Before upgrading, it’s a good idea to resolve any deprecation warnings raised by your project while using your current version of Django. Fixing these warnings before upgrading ensures that you’re informed about areas of the code that need altering.
In Python, deprecation warnings are silenced by default. You must turn them on
using the -Wa Python command line option or the PYTHONWARNINGS
environment variable. For example, to show warnings while running tests:
$ python -Wa manage.py test
If you’re not using the Django test runner, you may need to also ensure that any console output is not captured which would hide deprecation warnings. For example, if you use pytest:
$ PYTHONWARNINGS=always pytest tests --capture=no
Resolve any deprecation warnings with your current version of Django before continuing the upgrade process.
Third party applications might use deprecated APIs in order to support multiple versions of Django, so deprecation warnings in packages you’ve installed don’t necessarily indicate a problem. If a package doesn’t support the latest version of Django, consider raising an issue or sending a pull request for it.
Once you’re ready, it is time to install the new Django version. If you are using a virtual environment and it
is a major upgrade, you might want to set up a new environment with all the
dependencies first.
If you installed Django with pip, you can use the --upgrade or -U flag:
$ python -m pip install -U Django
When the new environment is set up, run the full test suite for your application. Again, it’s useful to turn
on deprecation warnings on so they’re shown in the test output (you can also
use the flag if you test your app manually using manage.py runserver):
$ python -Wa manage.py test
After you have run the tests, fix any failures. While you have the release notes fresh in your mind, it may also be a good time to take advantage of new features in Django by refactoring your code to eliminate any deprecation warnings.
When you are sufficiently confident your app works with the new version of Django, you’re ready to go ahead and deploy your upgraded Django project.
If you are using caching provided by Django, you should consider clearing your
cache after upgrading. Otherwise you may run into problems, for example, if you
are caching pickled objects as these objects are not guaranteed to be
pickle-compatible across Django versions. A past instance of incompatibility
was caching pickled HttpResponse objects, either
directly or indirectly via the cache_page()
decorator.
Dec 25, 2023