. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 9.22 In-memory Representation of Cluster State - celery.events.state . . . . . . . . . . . . . . . . . . . . 156 9.23 App: Worker Node - integrate with Django, Pylons and Flask, using the django-celery, celery-pylons and Flask-Celery add-on packages. • Overview • Example • Features • Documentation • Installation – Downloading and installing Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more

Contrib: Abortable tasks - celery.contrib.abortable Events - celery.events In-memory Representation of Cluster State - celery.events.state App: Worker Node - celery.apps.worker App: Periodic Task Scheduler - [http://pypi.python.org/pypi/celery-pylons] and Flask-Celery [http://github.com/ask/flask-celery/] add-on packages. Overview Example Features Documentation Installation Downloading and installing from Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more

integrate with Django, Pylons and Flask, using the django-celery, celery-pylons and Flask-Celery add-on packages. • Overview • Example • Features • Documentation • Installation – Downloading and installing Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable

integrate with Django, Pylons and Flask, using the django-celery, celery-pylons and Flask-Celery add-on packages. • Overview • Example • Features • Documentation • Installation – Downloading and installing Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable

Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more CELERY_TASK_RESULT_EXPIRES setting. By de- fault this is set to expire after 1 day: if you have a very busy cluster you should lower this value. For a list of options supported by the AMQP result backend, please those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable

[http://pypi.python.org/pypi/celery-pylons] and Flask-Celery [http://github.com/ask/flask-celery/] add-on packages. Overview Example Features Documentation Installation Downloading and installing from Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable

[http://pypi.python.org/pypi/celery-pylons] and Flask-Celery [http://github.com/ask/flask-celery/] add-on packages. Overview Example Features Documentation Installation Downloading and installing from Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable

[http://pypi.python.org/pypi/celery-pylons] and Flask-Celery [http://github.com/ask/flask-celery/] add-on packages. Overview Example Features Documentation Installation Bundles Downloading and installing Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable

integrate with Django, Pylons and Flask, using the django-celery, celery-pylons and Flask-Celery add-on packages. • Overview • Example • Features • Documentation • Installation – Bundles – Downloading Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable

Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more CELERY_TASK_RESULT_EXPIRES setting. By default this is set to expire after 1 day: if you have a very busy cluster you should lower this value. For a list of options supported by the AMQP result backend, please those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable