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

部分）文档的主要章节。这些内容对 概览 & 教程 中提到的概念进行了扩展，同时还覆盖了一些高级主题。 环境字典 env 运行环境即设置 环境即状态共享 其他考虑 环境变量完整列表 Execution model Execution strategy Defining tasks Defining host lists Intelligently executing tasks with execute Connections Password management Leveraging native SSH config files fab 选项和参数 基本应用 直接执行远程命令 命令行参数 Per-task arguments 配置文件 Fabfile 文件的结构和使用 指定 fabfile 引用 Fabric 定义任务并导入 callable 任务 与远程程序集成 合并 stdout 和 Shell 命令更加 容易 、 更符合 Python 风格 的命令 库（建立于一个更低层次的库）。 自然而然地，大部分用户把这两件事结合着用，使用 Fabric 来写和执行 Python 函数或 task ，以实现与远程服务器的自动化交互。让我们一睹为快吧。 Hello, fab 一个合格的教程少不了这个“惯例”： def hello(): print("Hello world!")

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

部分）文档的主要章节。这些内容对 概览 & 教程 中提到的概念进行了扩展，同时还覆盖了一些高级主题。 环境字典 env 运行环境即设置 环境即状态共享 其他考虑 环境变量完整列表 Execution model Execution strategy Defining tasks Defining host lists Intelligently executing tasks with execute Connections Password management Leveraging native SSH config files fab 选项和参数 基本应用 直接执行远程命令 命令行参数 Per-task arguments 配置文件 Fabfile 文件的结构和使用 指定 fabfile 引用 Fabric 定义任务并导入 callable 任务 与远程程序集成 合并 stdout 和 Shell 命令更加 容易 、 更符合 Python 风格 的命令 库（建立于一个更低层次的库）。 自然而然地，大部分用户把这两件事结合着用，使用 Fabric 来写和执行 Python 函数或 task ，以实现与远程服务器的自动化交互。让我们一睹为快吧。 Hello, fab 一个合格的教程少不了这个“惯例”： def hello(): print("Hello world!")

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

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

documentation » This document describes Celery 2.4. For development docs, go here. Celery - Distributed Task Queue Contents: Getting Started Introduction Brokers First steps with Celery Resources User Guide First steps with Celery Choosing your Broker 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

describes the current stable version of Celery (4.1). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and docs, go here. Getting Started Release: 4.1 Date: Jul 24, 2017 Introduction to Celery What’s a Task Queue? What do I need? Get Started Celery is… Features Framework Integration Quick Jump Installation

describes the current stable version of Celery (4.4). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and For development docs, go here. Getting Started 4.4 Jul 31, 2020 Introduction to Celery What’s a Task Queue? What do I need? Get Started Celery is… Features Framework Integration Quick Jump Installation