rabbitmq.com/], but support for Redis [http://code.google.com/p/redis/] and databases (SQLAlchemy [http://www.sqlalchemy.org/]) is also available. You may also be pleased to know that full Django integration be one of the following: database (default) Use a relational database supported by SQLAlchemy [http://sqlalchemy.org]. cache Use memcached [http://memcached.org] to store the results. mongodb Use [http://www.sqlalchemy.org/docs/dbengine.html#supported-databases] for a table of supported databases. To use this backend you need to configure it with an Connection String [http://www.sqlalchemy.org/docs/dbengine

Overview Example Features Documentation Installation Brokers Using RabbitMQ Using Redis Using SQLAlchemy Using the Django Database Using MongoDB Using CouchDB Using Beanstalk First steps with Celery MongoDB [http://mongodb.org/], CouchDB [http://couchdb.apache.org/] and databases (using SQLAlchemy [http://www.sqlalchemy.org/] or the Django ORM [http://djangoproject.com/]) is also available. Celery is 2016 Celery supports several message transport alternatives. Using RabbitMQ Using Redis Using SQLAlchemy Using the Django Database Using MongoDB Using CouchDB Using Beanstalk © Copyright 2009-2011, Ask

Overview Example Features Documentation Installation Brokers Using RabbitMQ Using Redis Using SQLAlchemy Using the Django Database Using MongoDB Using CouchDB Using Beanstalk First steps with Celery [http://aws.amazon.com/sqs/], CouchDB [http://couchdb.apache.org/] and databases (using SQLAlchemy [http://www.sqlalchemy.org/] or the Django ORM [http://djangoproject.com/]) is also available. Celery is easy 2014 Celery supports several message transport alternatives. Using RabbitMQ Using Redis Using SQLAlchemy Using the Django Database Using MongoDB Using CouchDB Using Beanstalk © Copyright 2009-2012, Ask

and much more. It supports Brokers RabbitMQ, Redis, MongoDB (exp), ZeroMQ (exp) CouchDB (exp), SQLAlchemy (exp) Django ORM (exp), Amazon SQS, (exp) and more… Concurrency prefork (multiprocessing), Eventlet Eventlet, gevent threads/single threaded Result Stores AMQP, Redis memcached, MongoDB SQLAlchemy, Django ORM Apache Cassandra Serialization pickle, json, yaml, msgpack. zlib, bzip2 compression. Cryptographic transport. celery[zeromq]: for using ZeroMQ as a message transport (experimental). celery[sqlalchemy]: for using SQLAlchemy as a message transport (experimental), or as a result backend (supported). celery[pyro]:

MongoDB [http://mongodb.org/], CouchDB [http://couchdb.apache.org/] and databases (using SQLAlchemy [http://www.sqlalchemy.org/] or the Django ORM [http://djangoproject.com/]) is also available. Celery is easy needs to store or send the states somewhere. There are several built-in backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, AMQP, MongoDB, Tokyo Tyrant and Redis – or you can define your own be one of the following: database (default) Use a relational database supported by SQLAlchemy [http://sqlalchemy.org]. See Database backend settings. cache Use memcached [http://memcached.org] to store

MongoDB [http://mongodb.org/], CouchDB [http://couchdb.apache.org/] and databases (using SQLAlchemy [http://www.sqlalchemy.org/] or the Django ORM [http://djangoproject.com/]) is also available. Celery is needs to store or send the states somewhere. There are several built-in backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, AMQP, MongoDB, Tokyo Tyrant and Redis – or you can define your own needs to store or send the states somewhere. There are several built-in backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, AMQP, MongoDB, Tokyo Tyrant and Redis – or you can define your own

is RabbitMQ, but support for Redis, MongoDB, Beanstalk, Amazon SQS, CouchDB and databases (using SQLAlchemy or the Django ORM) is also available. Celery is easy to integrate with web frameworks, some of Redis backend settings 1.2.3 Using SQLAlchemy Installation Configuration Celery needs to know the location of your database, which should be the usual SQLAlchemy connection string, but with ‘sqla+’ which have to be an SQLAlchemy database URI. Please see SQLAlchemy: Supported Databases for a table of supported databases. Here’s a list of examples using a selection of other SQLAlchemy Connection String‘s:

more. It supports • Brokers • RabbitMQ, Redis, • MongoDB (exp), ZeroMQ (exp) • CouchDB (exp), SQLAlchemy (exp) • Django ORM (exp), Amazon SQS, (exp) • and more... • Concurrency • prefork (multiprocessing) Release 3.1.25 • threads/single threaded • Result Stores • AMQP, Redis • memcached, MongoDB • SQLAlchemy, Django ORM • Apache Cassandra • Serialization • pickle, json, yaml, msgpack. • zlib, bzip2 compression transport. celery[zeromq] for using ZeroMQ as a message transport (experimental). celery[sqlalchemy] for using SQLAlchemy as a message transport (experimental), or as a result backend (supported). celery[pyro]

rabbitmq.com/], but support for Redis [http://code.google.com/p/redis/] and databases (SQLAlchemy [http://www.sqlalchemy.org/]) is also available. Celery is easy to integrate with Django [http://djangoproject be one of the following: database (default) Use a relational database supported by SQLAlchemy [http://sqlalchemy.org]. See Database backend settings. cache Use memcached [http://memcached.org] to store [http://www.sqlalchemy.org/docs/dbengine.html#supported-databases] for a table of supported databases. To use this backend you need to configure it with an Connection String [http://www.sqlalchemy.org/docs/dbengine

broker is RabbitMQ, but limited support for Redis, Beanstalk, MongoDB, CouchDB and databases (using SQLAlchemy or the Django ORM) is also available. Celery is easy to integrate with Django, Pylons and Flask backend settings 1.2.3 Using SQLAlchemy Installation For the SQLAlchemy transport you have to install the kombu-sqlalchemy library: $ pip install -U kombu-sqlalchemy Configuration This transport to be an SQLAlchemy database URI. 1. Set your broker transport: BROKER_TRANSPORT = "sqlalchemy" 2. Configure the database URI: BROKER_HOST = "sqlite:///celerydb.sqlite" Please see SQLAlchemy: Supported