Django-PostgresPool
===================
This is a simple Postgres Connection Pooling backend for Django 1.4+, powered by the lovely and beautiful SQLAlchemy.
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(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.