org/pypi/eventlet/] pool. for using the gevent [https://pypi.python.org/pypi/gevent/] pool. Transports and Backends for using the librabbitmq C library. for using Redis as a message transport or as a result backend tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy [http://www.sqlalchemy.org/]/Django [http://djangoproject.com] ORM, Celery('tasks', backend='redis://localhost', broker='pyamqp://') To read more about result backends please see Result Backends. Now with the result backend configured, let’s call the task again. This time you’ll

org/pypi/eventlet/] pool. for using the gevent [https://pypi.python.org/pypi/gevent/] pool. Transports and Backends for using the librabbitmq C library. for using Redis as a message transport or as a result backend tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy [http://www.sqlalchemy.org/]/Django [http://djangoproject.com] ORM, Celery('tasks', backend='redis://localhost', broker='pyamqp://') To read more about result backends please see Result Backends. Now with the result backend configured, let’s call the task again. This time you’ll

org/pypi/eventlet/] pool. for using the gevent [https://pypi.python.org/pypi/gevent/] pool. Transports and Backends for using the librabbitmq C library. for using Redis as a message transport or as a result backend group results are returned in the same order the tasks were defined, matching the behaviour of other backends. This change is incompatible with workers running versions of Celery without this feature, so the tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy [http://www.sqlalchemy.org/]/Django [http://djangoproject.com] ORM,

org/pypi/eventlet/] pool. for using the gevent [https://pypi.python.org/pypi/gevent/] pool. Transports and Backends for using the librabbitmq C library. for using Redis as a message transport or as a result backend tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy [http://www.sqlalchemy.org/]/Django [http://djangoproject.com] ORM, Celery('tasks', backend='redis://localhost', broker='pyamqp://') To read more about result backends please see Result Backends. Now with the result backend configured, let’s call the task again. This time you’ll

org/pypi/eventlet/] pool. for using the gevent [https://pypi.python.org/pypi/gevent/] pool. Transports and Backends for using the librabbitmq C library. for using Redis as a message transport or as a result backend tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy [http://www.sqlalchemy.org/]/Django [http://djangoproject.com] ORM, Celery('tasks', backend='redis://localhost', broker='pyamqp://') To read more about result backends please see Result Backends. Now with the result backend configured, let’s call the task again. This time you’ll

org/pypi/eventlet/] pool. for using the gevent [https://pypi.python.org/pypi/gevent/] pool. Transports and Backends for using the librabbitmq C library. for using Redis as a message transport or as a result backend tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy [http://www.sqlalchemy.org/]/Django [http://djangoproject.com] ORM, Celery('tasks', backend='redis://localhost', broker='pyamqp://') To read more about result backends please see Result Backends. Now with the result backend configured, let’s call the task again. This time you’ll

org/pypi/eventlet/] pool. for using the gevent [https://pypi.python.org/pypi/gevent/] pool. Transports and Backends for using the librabbitmq C library. for using Redis as a message transport or as a result backend tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy [http://www.sqlalchemy.org/]/Django [http://djangoproject.com] ORM, Celery('tasks', backend='redis://localhost', broker='pyamqp://') To read more about result backends please see Result Backends. Now with the result backend configured, let’s call the task again. This time you’ll

org/pypi/eventlet/] pool. for using the gevent [https://pypi.python.org/pypi/gevent/] pool. Transports and Backends for using the librabbitmq C library. for using Redis as a message transport or as a result backend tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy [http://www.sqlalchemy.org/]/Django [http://djangoproject.com] ORM, Celery('tasks', backend='redis://localhost', broker='pyamqp://') To read more about result backends please see Result Backends. Now with the result backend configured, let’s call the task again. This time you’ll

celery[eventlet]: for using the eventlet pool. celery[gevent]: for using the gevent pool. Transports and Backends celery[librabbitmq]: for using the librabbitmq C library. celery[redis]: for using Redis as tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy [http://www.sqlalchemy.org/]/Django [http://djangoproject.com] ORM, Celery('tasks', backend='redis://localhost', broker='pyamqp://') To read more about result backends please see Result Backends. Now with the result backend configured, let’s call the task again. This time you’ll

celery[sqlalchemy]: celery[pyro]: celery[slmq]: celery[consul]: celery[django]: Transports and Backends for using the librabbitmq C library. for using Redis as a message transport or as a result backend tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy [http://www.sqlalchemy.org/]/Django [http://djangoproject.com] ORM, Celery('tasks', backend='redis://localhost', broker='pyamqp://') To read more about result backends please see Result Backends. Now with the result backend configured, let’s call the task again. This time you’ll