verified by rabbitmqctl: $ sudo rabbitmqctl status Status of node rabbit@myhost ... [{running_applications,[{rabbit,"RabbitMQ","1.7.1"}, {mnesia,"MNESIA CXC 138 12","4.4.12"}, {os_mon,"CPO CXC 138 46" executed twice if the worker crashes in the middle of execution, which may be acceptable for some applications. The global default can be overridden by the CELERY_ACKS_LATE setting. Task.track_started If Database Result Backend Keeping state in the database can be convenient for many, especially for web applications with a database already in place, but it also comes with limitations. • Polling the database

verified by rabbitmqctl: $ sudo rabbitmqctl status Status of node rabbit@myhost ... [{running_applications,[{rabbit,"RabbitMQ","1.7.1"}, {mnesia,"MNESIA CXC 138 12","4.4.12"}, executed twice if the worker crashes in the middle of execution, which may be acceptable for some applications. The global default can be overridden by the CELERY_ACKS_LATE setting. Task.track_started If Database Result Backend Keeping state in the database can be convenient for many, especially for web applications with a database already in place, but it also comes with limitations. Polling the database for

[http://groups.google.com/group/celery-users] and an IRC channel. Here’s one of the simplest applications you can make: from celery import Celery app = Celery('hello', broker='amqp://guest@localhost//') control command change worker queues at runtime Jump to ⟶ Brokers Workers Security Contributing Applications Tasks Calling Daemonizing Monitoring Optimizing Routing Configuration Django Signals FAQ API verified by rabbitmqctl: $ sudo rabbitmqctl status Status of node rabbit@myhost ... [{running_applications,[{rabbit,"RabbitMQ","1.7.1"}, {mnesia,"MNESIA CXC 138 12","4.4.12"},

verified by rabbitmqctl: $ sudo rabbitmqctl status Status of node rabbit@myhost ... [{running_applications,[{rabbit,"RabbitMQ","1.7.1"}, {mnesia,"MNESIA CXC 138 12","4.4.12"}, {os_mon,"CPO CXC 138 46" Django application. The worker server will automatically load any tasks.py file for all of the applications listed in settings.INSTALLED_APPS. Executing tasks using delay and apply_async 10 Chapter 1. modules listed in the CELERY_IMPORTS setting. If using Django it loads all tasks.py modules for the applications listed in INSTALLED_APPS. If you want to do something special you can create your own loader to

talk to for support, including a mailing-list and an IRC channel. Here’s one of the simplest applications you can make: from celery import Celery app = Celery('hello', broker='amqp://guest@localhost//') • write my own remote control command • change worker queues at runtime Jump to • Brokers • Applications • Tasks • Calling 2.2. Getting Started 9 Celery Documentation, Release 3.1.25 • Workers • Daemonizing verified by rabbitmqctl: $ sudo rabbitmqctl status Status of node rabbit@myhost ... [{running_applications,[{rabbit,"RabbitMQ","1.7.1"}, {mnesia,"MNESIA CXC 138 12","4.4.12"}, {os_mon,"CPO CXC 138 46"

verified by rabbitmqctl: $ sudo rabbitmqctl status Status of node rabbit@myhost ... [{running_applications,[{rabbit,"RabbitMQ","1.7.1"}, {mnesia,"MNESIA CXC 138 12","4.4.12"}, Django application. The worker server will automatically load any tasks.py file for all of the applications listed in settings.INSTALLED_APPS. Executing tasks using delay and apply_async can be done from modules listed in the CELERY_IMPORTS setting. If using Django it loads all tasks.py modules for the applications listed in INSTALLED_APPS. If you want to do something special you can create your own loader to

verified by rabbitmqctl: $ sudo rabbitmqctl status Status of node rabbit@myhost ... [{running_applications,[{rabbit,"RabbitMQ","1.7.1"}, {mnesia,"MNESIA CXC 138 12","4.4.12"}, {os_mon,"CPO CXC 138 46" executed twice if the worker crashes in the middle of execution, which may be acceptable for some applications. The global default can be overridden by the CELERY_ACKS_LATE setting. Task.track_started If Database Result Backend Keeping state in the database can be convenient for many, especially for web applications with a database already in place, but it also comes with limitations. • Polling the database

verified by rabbitmqctl: $ sudo rabbitmqctl status Status of node rabbit@myhost ... [{running_applications,[{rabbit,"RabbitMQ","1.7.1"}, {mnesia,"MNESIA CXC 138 12","4.4.12"}, executed twice if the worker crashes in the middle of execution, which may be acceptable for some applications. The global default can be overridden by the CELERY_ACKS_LATE setting. Task.track_started If Database Result Backend Keeping state in the database can be convenient for many, especially for web applications with a database already in place, but it also comes with limitations. Polling the database for

verified by rabbitmqctl: $ sudo rabbitmqctl status Status of node rabbit@myhost ... [{running_applications,[{rabbit,"RabbitMQ","1.7.1"}, {mnesia,"MNESIA CXC 138 12","4.4.12"}, {os_mon,"CPO CXC 138 46" executed twice if the worker crashes in the middle of execution, which may be acceptable for some applications. The global default can be overridden by the CELERY_ACKS_LATE setting. Task.track_started If Database Result Backend Keeping state in the database can be convenient for many, especially for web applications with a database already in place, but it also comes with limitations. • Polling the database

[http://groups.google.com/group/celery-users] and an IRC channel. Here’s one of the simplest applications you can make: from celery import Celery app = Celery('hello', broker='amqp://guest@localhost//') Celery write my own remote control command change worker queues at runtime Jump to ⟶ Brokers Applications Tasks Calling Workers Daemonizing Monitoring Optimizing Security Routing Configuration Django verified by rabbitmqctl: $ sudo rabbitmqctl status Status of node rabbit@myhost ... [{running_applications,[{rabbit,"RabbitMQ","1.7.1"}, {mnesia,"MNESIA CXC 138 12","4.4.12"},