django-google-spanner 2.2.1b3

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install python-spanner-django
<your-env>/bin/pip install google-cloud-spanner

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install python-spanner-django
<your-env>\Scripts\pip.exe install google-cloud-spanner

Supported versions

At the moment, this library only supports Django 2.2. It also requires Python version 3.6 or later.

This package follows a common versioning convention for Django plugins: the major and minor version components of this package should match the installed version of Django. That is, django-google-spanner~=2.2 works with Django~=2.2.

Installing the package

To install from PyPI:

pip3 install django-google-spanner

To install from source:

git clone git@github.com:googleapis/python-spanner-django.git
cd python-spanner-django
pip3 install -e .

Creating a Cloud Spanner instance and database

If you don’t already have a Cloud Spanner database, or want to start from scratch for a new Django application, you can create a new instance and database using the Google Cloud SDK:

gcloud spanner instances create $INSTANCE --config=regional-us-central1 --description="New Django Instance" --nodes=1
gcloud spanner databases create $DB --instance $INSTANCE

Configuring settings.py

This package provides a Django application named django_spanner. To use the Cloud Spanner database backend, the application needs to installed and configured:

• Add django_spanner as the first entry in INSTALLED_APPS:

  INSTALLED_APPS = [
      'django_spanner',
      ...
  ]

• Edit the DATABASES setting to point to an existing Cloud Spanner database:

  DATABASES = {
      'default': {
          'ENGINE': 'django_spanner',
          'PROJECT': '$PROJECT',
          'INSTANCE': '$INSTANCE',
          'NAME': '$DATABASE',
      }
  }

Set credentials and project environment variables

You’ll need to download a service account JSON key file and point to it using an environment variable:

export GOOGLE_APPLICATION_CREDENTIALS=/path/to/keyfile.json
export GOOGLE_CLOUD_PROJECT=gcloud_project

Apply the migrations

Please run:

$ python3 manage.py migrate

and that’ll take a while to run. After this you should be able to see the tables and indices created in your Cloud Spanner console.

Now run your server

After those migrations are completed, that will be all. Please continue on with the guides.

Create an Django admin user

First you’ll need to create a user who can login to the admin site. Run the following command:

$ python3 manage.py createsuperuser

which will then produce a prompt which will allow you to create your super user

Username: admin
Email address: admin@example.com
Password: **********
Password (again): **********
Superuser created successfully.

Login as admin

Let’s run the server

python3 manage.py runserver

Then visit http://127.0.0.1:8000/admin/

Create and register your first model

Please follow the guides in https://docs.djangoproject.com/en/2.2/intro/tutorial02/#creating-models to create and register the model to the Django’s automatically-generated admin site.

Overall design

Internals

Executing a query

Here is an example of how to add a row for Model Author, save it and later query it using Django

>>> author_kent = Author( first_name="Arthur", last_name="Kent", rating=Decimal("4.1"),)
>>> author_kent.save()
>>> qs1 = Author.objects.all().values("first_name", "last_name")

AutoField generates random IDs

Spanner doesn’t have support for auto-generating primary key values. Therefore, django-google-spanner monkey-patches AutoField to generate a random UUID4. It generates a default using Field’s default option which means AutoFields will have a value when a model instance is created. For example:

>>> ExampleModel()
>>> ExampleModel.pk
4229421414948291880

To avoid hotspotting, these IDs are not monotonically increasing. This means that sorting models by ID isn’t guaranteed to return them in the order in which they were created.

ForeignKey constraints aren’t created (#313)

Spanner does not support ON DELETE CASCADE when creating foreign-key constraints, so this is not supported in django-google-spanner.

Unsigned datatypes are not supported

Spanner does not support Unsigned datatypes so PositiveIntegerField and PositiveSmallIntegerField are both stored as Integer type .

Meta.order_with_respect_to model option isn’t supported

This feature uses a column name that starts with an underscore (_order) which Spanner doesn’t allow.

Random QuerySet ordering isn’t supported

Spanner does not support it and will throw an exception. For example:

>>> ExampleModel.objects.order_by('?')
...
django.db.utils.ProgrammingError: 400 Function not found: RANDOM ... FROM
example_model ORDER BY RANDOM() ASC

Schema migrations

There are some limitations on schema changes to consider:

• No support for renaming tables and columns;

• A column’s type can’t be changed;

• A table’s primary key can’t be altered.

DurationField arithmetic doesn’t work with DateField values (#253)

Spanner requires using different functions for arithmetic depending on the column type:

• TIMESTAMP columns (DateTimeField) require TIMESTAMP_ADD or TIMESTAMP_SUB

• DATE columns (DateField) require DATE_ADD or DATE_SUB

Django does not provide ways to determine which database function to use. DatabaseOperations.combine_duration_expression() arbitrarily uses TIMESTAMP_ADD and TIMESTAMP_SUB. Therefore, if you use a DateField in a DurationField expression, you’ll likely see an error such as:

"No matching signature for function TIMESTAMP\_ADD for argument types:
DATE, INTERVAL INT64 DATE\_TIME\_PART."

Computations that yield FLOAT64 values cannot be assigned to INT64 columns

Spanner does not support this (#331) and will throw an error:

>>> ExampleModel.objects.update(integer=F('integer') / 2)
...
django.db.utils.ProgrammingError: 400 Value of type FLOAT64 cannot be
assigned to integer, which has type INT64 [at 1:46]\nUPDATE
example_model SET integer = (example_model.integer /...

Addition with null values crash

Additions cannot include None values. For example:

>>> Book.objects.annotate(adjusted_rating=F('rating') + None)
...
google.api_core.exceptions.InvalidArgument: 400 Operands of + cannot be literal
NULL ...