与Celery和RabbitMQ进行主题交流

时间:2012-03-20 18:24:53

标签: python rabbitmq celery amqp rabbitmq-exchange

我对我的配置应该是什么样的设置主题交换感到困惑。

http://www.rabbitmq.com/tutorials/tutorial-five-python.html

这就是我想要完成的事情:

Task1 -> send to QueueOne and QueueFirehose
Task2 -> sent to QueueTwo and QueueFirehose

然后:

Task1 -> consume from QueueOne
Task2 -> consume from QueueTwo
TaskFirehose -> consume from QueueFirehose

我只希望Task1使用QueueOne和Task2来从QueueTwo中消耗。

现在的问题是,当Task1和2运行时,它们也会耗尽QueueFirehose,而TaskFirehose任务永远不会执行。

我的配置有问题,还是我误解了什么?

CELERY_QUEUES = { 
    "QueueOne": {
        "exchange_type": "topic",
        "binding_key": "pipeline.one",
    },  
    "QueueTwo": {
        "exchange_type": "topic",
        "binding_key": "pipeline.two",
    },  
    "QueueFirehose": {
        "exchange_type": "topic",
        "binding_key": "pipeline.#",
    },  
}

CELERY_ROUTES = {
        "tasks.task1": {
            "queue": 'QueueOne',
            "routing_key": 'pipeline.one',
        },
        "tasks.task2": {
            "queue": 'QueueTwo',
            "routing_key": 'pipeline.two',
        },
        "tasks.firehose": {
            'queue': 'QueueFirehose',
            "routing_key": 'pipeline.#',
        },
}

1 个答案:

答案 0 :(得分:0)

假设你实际上是这样的意思:

Task1 -> send to QueueOne
Task2 -> sent to QueueTwo
TaskFirehose -> send to QueueFirehose

然后:

Worker1 -> consume from QueueOne, QueueFirehose
Worker2 -> consume from QueueTwo, QueueFirehose
WorkerFirehose -> consume from QueueFirehose

这可能不完全是你的意思,但我认为它应该涵盖很多场景,并希望你也可以。 这样的事情应该有效:

# Advanced example starting 10 workers in the background:
#   * Three of the workers processes the images and video queue
#   * Two of the workers processes the data queue with loglevel DEBUG
#   * the rest processes the default' queue.

$ celery multi start 10 -l INFO -Q:1-3 images,video -Q:4,5 data
-Q default -L:4,5 DEBUG

有关更多选项和参考:http://celery.readthedocs.org/en/latest/reference/celery.bin.multi.html

这直接来自文档。

我也有类似的情况,我以稍微不同的方式处理它。我不能用芹菜多用supervisord。 因此,我在每个工人的supervisord中创建了多个程序。无论如何,工人们将处于不同的流程中,所以只需让主管为您处理一切。 配置文件类似于: -

; ==================================
; celery worker supervisor example
; ==================================

[program:Worker1]
; Set full path to celery program if using virtualenv
command=celery worker -A proj --loglevel=INFO -Q QueueOne, QueueFirehose

directory=/path/to/project
user=nobody
numprocs=1
stdout_logfile=/var/log/celery/worker1.log
stderr_logfile=/var/log/celery/worker1.log
autostart=true
autorestart=true
startsecs=10

; Need to wait for currently executing tasks to finish at shutdown.
; Increase this if you have very long running tasks.
stopwaitsecs = 600

; When resorting to send SIGKILL to the program to terminate it
; send SIGKILL to its whole process group instead,
; taking care of its children as well.
killasgroup=true

; if rabbitmq is supervised, set its priority higher
; so it starts first
priority=998

同样,对于Worker2和WorkerFirehose,编辑相应的行:

[program:Worker2]
; Set full path to celery program if using virtualenv
command=celery worker -A proj --loglevel=INFO -Q QueueTwo, QueueFirehose

[program:WorkerFirehose]
; Set full path to celery program if using virtualenv
command=celery worker -A proj --loglevel=INFO -Q QueueFirehose

将它们全部包含在supervisord.conf文件中,并且应该这样做。