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- .. _celery-installation:
- Installation
- ============
- You can install Celery either via the Python Package Index (PyPI)
- or from source.
- To install using :command:`pip`:
- .. code-block:: console
- $ pip install -U Celery
- .. _bundles:
- Bundles
- -------
- Celery also defines a group of bundles that can be used
- to install Celery and the dependencies for a given feature.
- You can specify these in your requirements or on the :command:`pip`
- command-line by using brackets. Multiple bundles can be specified by
- separating them by commas.
- .. code-block:: console
- $ pip install "celery[librabbitmq]"
- $ pip install "celery[librabbitmq,redis,auth,msgpack]"
- The following bundles are available:
- Serializers
- ~~~~~~~~~~~
- :``celery[auth]``:
- for using the ``auth`` security serializer.
- :``celery[msgpack]``:
- for using the msgpack serializer.
- :``celery[yaml]``:
- for using the yaml serializer.
- Concurrency
- ~~~~~~~~~~~
- :``celery[eventlet]``:
- for using the :pypi:`eventlet` pool.
- :``celery[gevent]``:
- for using the :pypi:`gevent` pool.
- Transports and Backends
- ~~~~~~~~~~~~~~~~~~~~~~~
- :``celery[librabbitmq]``:
- for using the librabbitmq C library.
- :``celery[redis]``:
- for using Redis as a message transport or as a result backend.
- :``celery[sqs]``:
- for using Amazon SQS as a message transport (*experimental*).
- :``celery[tblib]``:
- for using the :setting:`task_remote_tracebacks` feature.
- :``celery[memcache]``:
- for using Memcached as a result backend (using :pypi:`pylibmc`)
- :``celery[pymemcache]``:
- for using Memcached as a result backend (pure-Python implementation).
- :``celery[cassandra]``:
- for using Apache Cassandra as a result backend with DataStax driver.
- :``celery[couchbase]``:
- for using Couchbase as a result backend.
- :``celery[elasticsearch]``:
- for using Elasticsearch as a result backend.
- :``celery[riak]``:
- for using Riak as a result backend.
- :``celery[dynamodb]``:
- for using AWS DynamoDB as a result backend.
- :``celery[zookeeper]``:
- for using Zookeeper as a message transport.
- :``celery[sqlalchemy]``:
- for using SQLAlchemy as a result backend (*supported*).
- :``celery[pyro]``:
- for using the Pyro4 message transport (*experimental*).
- :``celery[slmq]``:
- for using the SoftLayer Message Queue transport (*experimental*).
- :``celery[consul]``:
- for using the Consul.io Key/Value store as a message transport or result backend (*experimental*).
- :``celery[django]``:
- specifies the lowest version possible for Django support.
- You should probably not use this in your requirements, it's here
- for informational purposes only.
- .. _celery-installing-from-source:
- Downloading and installing from source
- --------------------------------------
- Download the latest version of Celery from PyPI:
- https://pypi.python.org/pypi/celery/
- You can install it by doing the following,:
- .. code-block:: console
- $ tar xvfz celery-0.0.0.tar.gz
- $ cd celery-0.0.0
- $ python setup.py build
- # python setup.py install
- The last command must be executed as a privileged user if
- you aren't currently using a virtualenv.
- .. _celery-installing-from-git:
- Using the development version
- -----------------------------
- With pip
- ~~~~~~~~
- The Celery development version also requires the development
- versions of :pypi:`kombu`, :pypi:`amqp`, :pypi:`billiard`, and :pypi:`vine`.
- You can install the latest snapshot of these using the following
- pip commands:
- .. code-block:: console
- $ pip install https://github.com/celery/celery/zipball/master#egg=celery
- $ pip install https://github.com/celery/billiard/zipball/master#egg=billiard
- $ pip install https://github.com/celery/py-amqp/zipball/master#egg=amqp
- $ pip install https://github.com/celery/kombu/zipball/master#egg=kombu
- $ pip install https://github.com/celery/vine/zipball/master#egg=vine
- With git
- ~~~~~~~~
- Please see the :ref:`Contributing <contributing>` section.
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