using the gevent pool. 12 Chapter 3. Contents Celery Documentation, Release 4.4.2 Transports and Backends celery[librabbitmq] for using the librabbitmq C library. celery[redis] for using Redis as a message tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, RPC (RabbitMQ/AMQP), and – or you can define 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

using the gevent pool. 12 Chapter 3. Contents Celery Documentation, Release 4.4.1 Transports and Backends celery[librabbitmq] for using the librabbitmq C library. celery[redis] for using Redis as a message tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, RPC (RabbitMQ/AMQP), and – or you can define 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

using the gevent pool. 12 Chapter 3. Contents Celery Documentation, Release 4.4.0 Transports and Backends celery[librabbitmq] for using the librabbitmq C library. celery[redis] for using Redis as a message tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, RPC (RabbitMQ/AMQP), and – or you can define 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 a message tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, RPC (RabbitMQ/AMQP), and – or you can define 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. 12 Chapter 3. Contents Celery Documentation tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, RPC (RabbitMQ/AMQP), and – or you can define 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 a message tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, RPC (RabbitMQ/AMQP), and – or you can define 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 a message tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, RPC (RabbitMQ/AMQP), and – or you can define 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 a message tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, RPC (RabbitMQ/AMQP), and – or you can define 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 a message tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, RPC (RabbitMQ/AMQP), and – or you can define 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 a message tasks’ states, Celery needs to store or send the states somewhere. There are several built-in result backends to choose from: SQLAlchemy/Django ORM, Memcached, Redis, RPC (RabbitMQ/AMQP), and – or you can define Celery('tasks', backend='redis://localhost', broker='amqp://') 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