112 9 API Reference 113 9.1 Task Decorators - celery.decorators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 9.2 Defining Tasks - celery.task.base . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 9.3 Task Sets, Subtasks and Callbacks - celery.task.sets . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 9.4 Executing Tasks - celery . . . . . 122 9.5 Task Result - celery.result . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 9.6 Task Information and Utilities - celery.task . . . . . . . . . .

older version of Celery (2.1). For the latest stable version please go here. Celery - Distributed Task Queue Contents: Getting Started Introduction Broker Installation First steps with Celery Resources Reference Task Decorators - celery.decorators Defining Tasks - celery.task.base Task Sets, Subtasks and Callbacks - celery.task.sets Executing Tasks - celery.execute Task Result - celery.result Task Information Information and Utilities - celery.task Configuration - celery.conf Remote Management of Workers - celery.task.control HTTP Callback Tasks - celery.task.http Periodic Task Schedule Behaviors - celery.schedules

documentation » http://cloud.github.com/downloads/ask/celery/celery_favicon_128.png Celery - Distributed Task Queue Contents: Getting Started Introduction Broker Installation First steps with Celery Periodic (Webhooks) Routing Tasks Configuration and defaults Example configuration file Concurrency settings Task result backend settings Database backend settings AMQP backend settings Cache backend settings Tokyo settings Redis backend settings MongoDB backend settings Messaging settings Task execution settings Worker: celeryd Periodic Task Server: celerybeat Monitor Server: celerymon Cookbook Creating Tasks Running

http://github.com/ask/celery/ Keywords task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, dis- tributed – Celery is an open source asynchronous task queue/job queue based on distributed distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute workload. The result of the task can be stored for later retrieval (called its “tombstone”). 1.1.2 Example You probably want to see some code by now, so here’s an example task adding two numbers: from

http://github.com/ask/celery/ Keywords task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, dis- tributed – Celery is an open source asynchronous task queue/job queue based on distributed distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing of the task can be stored for later retrieval (called its “tombstone”). 1.1.2 Example You probably want to see some code by now, so here’s an example task adding two numbers: from celery.task import

. . . . . . . . . . . 192 10.4 celery.task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192 10.5 celery.task.base . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193 10.6 celery.task.sets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201 10.7 celery.result . . . . . . . . . . . 202 10.8 celery.task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205 10.9 celery.task.control . . . . . . . . . . . . . . .

index modules | next | Celery 1.0.6 (stable) documentation » Celery - Distributed Task Queue Contents: Getting Started Introduction Broker Installation First steps with Celery First steps with Django (Webhooks) Routing Tasks Configuration and defaults Example configuration file Concurrency settings Task result backend settings Database backend settings AMQP backend settings Cache backend settings Tokyo settings Redis backend settings MongoDB backend settings Messaging settings Task execution settings Worker: celeryd Periodic Task Server: celerybeat Monitor Server: celerymon Cookbook Creating Tasks Running

older version of Celery (2.2). For the latest stable version please go here. Celery - Distributed Task Queue Contents: Getting Started Introduction Broker Installation First steps with Celery Resources Installing RabbitMQ on OS X First steps with Celery Creating a simple task Configuration Running the celery worker server Executing the task Where to go from here Resources Getting Help Bug tracker Wiki Contributing http://github.com/ask/celery/ Keywords: task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed – Celery is an open source asynchronous task queue/job queue based on distributed

org/ Download http://pypi.python.org/pypi/celery/ Source http://github.com/celery/celery/ Keywords task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, dis- tributed – is an open source asynchronous task queue/job queue based on distributed message passing. Focused on real- time operation, but supports scheduling as well. The execution units, called tasks, are executed of the task can be stored for later retrieval (called its “tombstone”). 1.1.3 Example You probably want to see some code by now, so here’s an example task adding two numbers: from celery.task import

documentation » This document describes Celery 2.3. For development docs, go here. Celery - Distributed Task Queue Contents: Getting Started Introduction Broker Installation First steps with Celery Resources Installing RabbitMQ on OS X First steps with Celery Creating a simple task Configuration Running the celery worker server Executing the task Where to go from here Resources Getting Help Bug tracker Wiki Contributing http://github.com/ask/celery/ Keywords: task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed – Celery is an open source asynchronous task queue/job queue based on distributed