Celery+RabbitMQ快速入门

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Celery官方帮助 http://docs.celeryproject.org/en/latest/index.html

本文主要介绍Celery+RabbitMQ的入门知识

Celery 是一个异步任务队列/基于分布式消息传递作业队列，它侧重于实时操作，同样也支持调度RabbitMQ为应用程序提供了强大的消息服务。它很容易使用，适合在云规模应用，并支持所有主流的操作系统和开发平台。RabbitMQ在Mozilla公共许可下开源

安装Celery

使用easy_install安装

sudo easy_install celery

安装RabbitMQ

在ubuntu下使用apt-get方式安装rabbitmq-server

sudo apt-get install rabbitmq-server

安装完毕之后可以使用如下命令查看MQ当前服务状态

alex@alex-pc:~/test$ sudo rabbitmqctl status[sudo] password for alex:Status of node 'rabbit@alex-pc' ...[{running_applications,[{rabbit,"RabbitMQ","1.7.2"},                        {mnesia,"MNESIA  CXC 138 12","4.4.12"},                        {os_mon,"CPO  CXC 138 46","2.2.4"},                        {sasl,"SASL  CXC 138 11","2.1.8"},                        {stdlib,"ERTS  CXC 138 10","1.16.4"},                        {kernel,"ERTS  CXC 138 10","2.13.4"}]}, {nodes,['rabbit@alex-pc']}, {running_nodes,['rabbit@alex-pc']}]...done.

使用

配置celery

选择一个测试目录，在当前路径下新建配置文件celeryconfig.py,如下：

import sysimport ossys.path.insert(0, os.getcwd())CELERY_IMPORTS = ("tasks", )CELERY_RESULT_BACKEND = "amqp"BROKER_HOST = "localhost"BROKER_PORT = 5672BROKER_USER = "guest"BROKER_PASSWORD = "guest"BROKER_VHOST = "/

任务代码

新建tasks.py,如下:

from celery.task import task@taskdef add(x, y):    return x + y

启动celery服务

在终端中使用如下命令：

alex@alex-pc:~/test$ celeryd --loglevel=INFO[2011-07-28 23:06:27,226: WARNING/MainProcess] -------------- celery@alex-pc v2.2.7---- **** -------- * ***  * -- [Configuration]-- * - **** ---   . broker:      amqplib://guest@localhost:5672/- ** ----------   . loader:      celery.loaders.default.Loader- ** ----------   . logfile:     [stderr]@INFO- ** ----------   . concurrency: 2- ** ----------   . events:      OFF- *** --- * ---   . beat:        OFF-- ******* ------- ***** ----- [Queues] --------------   . celery:      exchange:celery (direct) binding:celery[Tasks]  . tasks.add[2011-07-28 23:06:27,233: INFO/PoolWorker-1] child process calling self.run()[2011-07-28 23:06:27,235: INFO/PoolWorker-2] child process calling self.run()[2011-07-28 23:06:27,236: WARNING/MainProcess] celery@alex-pc has started.

调用

打开ipython或者任何python shell即可

In [8]: from celery.task import taskIn [9]: import tasksIn [10]: res = tasks.add.delay(2,2)In [11]: res.ready()Out[11]: TrueIn [12]: res.resultOut[12]: 4

从celeryd的loginfo的输出信息中可以看到调用成功:

[2011-07-28 23:06:39,081: INFO/MainProcess] Got task from broker: tasks.add[82d8c609-2cac-47e8-be20-eb6a2dc502d6][2011-07-28 23:06:39,120: INFO/MainProcess] Task tasks.add[82d8c609-2cac-47e8-be20-eb6a2dc502d6] succeeded in 0.0137050151825s: 4

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