Think of multi-tenancy as a grand hotel. Each guest (tenant) gets their own suite, but they're all under the same roof. This is what Django Tenant Schemas brings to the table: a way to give every user their own unique space while sharing the same foundation.
This approach lets you host multiple clients on the same platform. Everyone shares a database, but each tenant's data is nestled safely in its own schema. It's efficient and keeps data isolated. Win-win!
First, let's get our tools:
bashCopy code
pip install django-tenant-schemas
Tweak the settings.py: pythonCopy code MIDDLEWARE = [ ... 'tenant_schemas.middleware.TenantMiddleware', ... ] DATABASES = { 'default': { ... 'ENGINE': 'tenant_schemas.postgresql_backend', ... } }
Who are our tenants? pythonCopy code from django.db import models from tenant_schemas.models import TenantMixin class Client(TenantMixin): name = models.CharField(max_length=100) created_on = models.DateField(auto_now_add=True)
Set up the database: bashCopy code python manage.py makemigrations python manage.py migrate_schemas
Imagine a communal lounge and private suites in our hotel:
Configuring this in settings.py:
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SHARED_APPS = (
'tenant_schemas',
'myapp.users',
...
)
TENANT_APPS = (
'myapp.custom_data_for_tenant',
...
)
INSTALLED_APPS = SHARED_APPS + TENANT_APPS
Shared apps' data resides in the public schema, while private apps give each tenant their unique space.
Alright, fellow coder, you're now armed with the basics of Django Tenant Schemas! While this post gives you a solid foundation, remember that the devil is in the details. The django-tenant-schemas documentation is pure gold for deep-diving into specific scenarios. Happy coding, and here's to building some fantastic multi-tenant apps!
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