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        "description": "\nThis project was based on `django-postgrespool <https://github.com/heroku-python/django-postgrespool>`_  + `django-postgrespool2(forked) <https://github.com/lcd1232/django-postgrespool2>`_ (both are not working in my production env) and `django-db-pool(outdated as fck) <https://github.com/gmcguire/django-db-pool>`_.\n\n\nDjango-DBPool\n=============\n\nThis is a simple Postgres Connection Pooling backed for Django 1.4+ (possibly, haven't checked), powered by SQLAlchemy and psycopg2.\n\n\nUsage\n-----\n\nUsing Django-PostgresPool is simple, just set ``django_postgrespool`` as your connection engine:\n\n::\n\n    DATABASES = {\n        'default': {\n            'ENGINE': 'django_postgrespool'\n\n\nIf you're using the `dj-database-url <https://crate.io/packages/dj-database-url/>`_ module:\n\n::\n\n    import dj_database_url\n\n    DATABASES = {'default': dj_database_url.config(engine='django_postgrespool')}\n\nIf you're using `south <http://south.aeracode.org>`_:\n\n::\n\n    SOUTH_DATABASE_ADAPTERS = {\n        'default': 'south.db.postgresql_psycopg2'\n    }\n\n\nEverything should work as expected.\n\n\nInstallation\n------------\n\nInstalling Django-PostgresPool is simple, with pip::\n\n    $ pip install django-dbpool\n\nConfiguration\n-------------\n\nOptionally, you can provide additional options to pass to SQLAlchemy's pool creation::\n\n    DATABASE_POOL_ARGS = {\n        'max_overflow': 10,\n        'pool_size': 5,\n        'recycle': 300\n    }\n\nHere's a basic explanation of two of these options:\n\n* **pool_size** \u2013 The *minimum* number of connections to maintain in the pool.\n* **max_overflow** \u2013 The maximum *overflow* size of the pool. This is not the maximum size of the pool.\n\nThe total number of \"sleeping\" connections the pool will allow is ``pool_size``.\nThe total simultaneous connections the pool will allow is ``pool_size + max_overflow``.\n\nAs an example, databases in the `Heroku Postgres <https://postgres.heroku.com>`_ starter tier have a maximum connection limit of 20. In that case your ``pool_size`` and ``max_overflow``, when combined, should not exceed 20.\n\nCheck out the official `SQLAlchemy Connection Pooling <http://docs.sqlalchemy.org/en/latest/core/pooling.html#sqlalchemy.pool.QueuePool.__init__>`_ docs to learn more about the optoins that can be defined in ``DATABASE_POOL_ARGS``.\n\nDjango 1.3 Support\n------------------\n\ndjango-postgrespool currently supports Django 1.4 and greater. See `this ticket <https://github.com/kennethreitz/django-postgrespool/pull/9>`_ for 1.3 support.\n\n\n",
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        "license": "MIT",
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