dengyuning/gunicorn
gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
About
Gunicorn 'Green Unicorn' is a Python WSGI HTTP Server for UNIX. It's a pre-fork
worker model ported from Ruby's Unicorn_ project. The Gunicorn server is broadly
compatible with various web frameworks, simply implemented, light on server
resource usage, and fairly speedy.
Feel free to join us in #gunicorn_ on freenode_.
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Documentation
Installation
Gunicorn requires Python 2.x >= 2.6 or Python 3.x >= 3.1.
Install from sources::
$ python setup.py install
Or from Pypi::
$ pip install -U gunicorn
You may also want to install Eventlet_ or Gevent_ if you expect that your
application code may need to pause for extended periods of time during
request processing. If you're on Python 3 you may also consider one othe Asyncio_ workers. Check out the FAQ_ for more information on when you'll
want to consider one of the alternate worker types.
To install eventlet::
$ pip install -U eventlet
If you encounter errors when compiling the extensions for Eventlet_ or
Gevent_ you most likely need to install a newer version of libev_ or libevent_.
Basic Usage
After installing Gunicorn you will have access to the command line script
gunicorn.
Commonly Used Arguments
+++++++++++++++++++++++
-
-c CONFIG, --config=CONFIG- Specify the path to aconfig file_ or
python module. -
-b BIND, --bind=BIND- Specify a server socket to bind. Server sockets
can be any of$(HOST),$(HOST):$(PORT), orunix:$(PATH).
An IP is a valid$(HOST). -
-w WORKERS, --workers=WORKERS- The number of worker processes. This
number should generally be between 2-4 workers per core in the server.
Check the FAQ_ for ideas on tuning this parameter. -
-k WORKERCLASS, --worker-class=WORKERCLASS- The type of worker process
to run. You'll definitely want to read theproduction page_ for the
implications of this parameter. You can set this toegg:gunicorn#$(NAME)
where$(NAME)is one ofsync,eventlet,gevent, or
tornado,gthread,gaiohttp`.sync`` is the default. -
-n APP_NAME, --name=APP_NAME- If setproctitle_ is installed you can
adjust the name of Gunicorn process as they appear in the process system
table (which affects tools likepsandtop).sync=gunicorn.workers.sync:SyncWorker
eventlet=gunicorn.workers.geventlet:EventletWorker
gevent=gunicorn.workers.ggevent:GeventWorker
tornado
There are various other parameters that affect user privileges, logging, etc.
You can see the complete list with the expected::
$ gunicorn -h
gunicorn
++++++++
The first and most basic script is used to serve 'bare' WSGI applications
that don't require a translation layer. Basic usage::
$ gunicorn [OPTIONS] APP_MODULE
Where APP_MODULE is of the pattern $(MODULE_NAME):$(VARIABLE_NAME). The
module name can be a full dotted path. The variable name refers to a WSGI
callable that should be found in the specified module.
Example with test app::
$ cd examples
$ gunicorn --workers=2 test:app
Integration
We also provide integration for both Django and Paster applications.
Django
++++++
gunicorn just needs to be called with a the location of a WSGI
application object.:
gunicorn [OPTIONS] APP_MODULE
Where APP_MODULE is of the pattern MODULE_NAME:VARIABLE_NAME. The module
name should be a full dotted path. The variable name refers to a WSGI
callable that should be found in the specified module.
So for a typical Django project, invoking gunicorn would look like:
gunicorn myproject.wsgi:application
(This requires that your project be on the Python path; the simplest way
to ensure that is to run this command from the same directory as your
manage.py file.)
You can use the
--env <http://docs.gunicorn.org/en/latest/settings.html#raw-env>_ option
to set the path to load the settings. In case you need it you can also
add your application path to PYTHONPATH using the
--pythonpath <http://docs.gunicorn.org/en/latest/settings.html#pythonpath>_
option.
Paste
+++++
If you are a user/developer of a paste-compatible framework/app (as
Pyramid, Pylons and Turbogears) you can use the gunicorn
--paste <http://docs.gunicorn.org/en/latest/settings.html#paste>_ option
to run your application.
For example:
gunicorn --paste development.ini -b :8080 --chdir /path/to/project
It is all here. No configuration files nor additional python modules to
write !!
Instrumentation
Gunicorn provides an optional instrumentation of the arbiter and
workers using the statsD_ protocol over UDP. Thanks to the
gunicorn.instrument.statsd module, Gunicorn becomes a statsD client
The use of UDP cleanly isolates Gunicorn from the receiving end of the statsD
metrics so that instrumentation does not cause Gunicorn to be heldeup by a slow
statsD consumer.
To use statsD, just tell gunicorn where the statsD server is:
$ gunicorn --statsd-host=localhost:8125 ...
The Statsd logger overrides gunicorn.glogging.Logger to track
all requests. The following metrics are generated:
gunicorn.requests: request rate per secondgunicorn.request.duration: histogram of request durationgunicorn.workers: number of workers managed by the arbiter (gauge)gunicorn.log.critical: rate of critical log messagesgunicorn.log.error: rate of error log messagesgunicorn.log.warning: rate of warning log messagesgunicorn.log.exception: rate of exceptional log messages
To generate new metrics you can log.info with a few additional keywords::
log.info("...", extra={"metric": "my.metric", "value": "1.2", "mtype": "gauge"})
LICENSE
Gunicorn is released under the MIT License. See the LICENSE_ file for more
details.
.. _Unicorn: http://unicorn.bogomips.org/
.. _#gunicorn: http://webchat.freenode.net/?channels=gunicorn
.. _freenode: http://freenode.net
.. _Eventlet: http://eventlet.net
.. _Gevent: http://gevent.org
.. _Asyncio: https://docs.python.org/3/library/asyncio.html
.. _FAQ: http://docs.gunicorn.org/en/latest/faq.html
.. _libev: http://software.schmorp.de/pkg/libev.html
.. _libevent: http://monkey.org/~provos/libevent
.. _production page: http://docs.gunicorn.org/en/latest/deploy.html
.. _config file: http://docs.gunicorn.org/en/latest/configure.html
.. _setproctitle: http://pypi.python.org/pypi/setproctitle/
.. _statsD: http://github.com/etsy/statsd
.. _LICENSE: http://github.com/benoitc/gunicorn/blob/master/LICENSE