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https://github.com/kennethreitz/django-postgrespool
Postgres Connection Pooling for Django, powered by SQLAlchemy.
https://github.com/kennethreitz/django-postgrespool
Last synced: 16 days ago
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Postgres Connection Pooling for Django, powered by SQLAlchemy.
- Host: GitHub
- URL: https://github.com/kennethreitz/django-postgrespool
- Owner: kennethreitz
- License: mit
- Fork: true (heroku-python/django-postgrespool)
- Created: 2021-01-01T17:09:18.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2022-08-06T03:10:34.000Z (over 2 years ago)
- Last Synced: 2024-09-20T01:07:12.813Z (about 2 months ago)
- Homepage: https://pypi.python.org/pypi/django-postgrespool
- Size: 29.3 KB
- Stars: 6
- Watchers: 2
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
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README
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.