django-postgrespool-lab 0.3.0

Usage

Using Django-PostgresPool is simple, just set django_postgrespool as your connection engine:

DATABASES = {
    'default': {
        'ENGINE': 'django_postgrespool'

If you’re using the dj-database-url module:

import dj_database_url

DATABASES['default'] = dj_database_url.config()
DATABASES['default']['ENGINE'] = 'django_postgrespool'

If you’re using south:

SOUTH_DATABASE_ADAPTERS = {
    'default': 'south.db.postgresql_psycopg2'
}

Everything should work as expected.

Installation

Installing Django-PostgresPool is simple, with pip:

$ pip install django-postgrespool

Configuration

Optionally, you can provide additional options to pass to SQLAlchemy’s pool creation:

DATABASE_POOL_ARGS = {
    'max_overflow': 10,
    'pool_size': 5,
    'recycle': 300
}

Here’s a basic explanation of two of these options:

• pool_size – The minimum number of connections to maintain in the pool.

• max_overflow – The maximum overflow size of the pool. This is not the maximum size of the pool.

The total number of “sleeping” connections the pool will allow is pool_size. The total simultaneous connections the pool will allow is pool_size + max_overflow.

As an example, databases in the Heroku Postgres starter tier have a maximum connection limit of 20. In that case your pool_size and max_overflow, when combined, should not exceed 20.

Check out the official SQLAlchemy Connection Pooling docs to learn more about the optoins that can be defined in DATABASE_POOL_ARGS.

Django 1.3 Support

django-postgrespool currently supports Django 1.4 and greater. See this ticket for 1.3 support.