问题描述
我试图让RabbitMQ与Celery和Django进行EC2实例做一些相当基本的后台处理。我在一个大的EC2实例上运行rabbitmq-server 2.5.0。
我根据说明书下载并安装了测试客户端
I am trying to get RabbitMQ with Celery and Django going on an EC2 instance to do some pretty basic background processing. I'm running rabbitmq-server 2.5.0 on a large EC2 instance.
I downloaded and installed the test client per the instructions here (at the very bottom of the page). I have been just letting the test script go and am getting the expected output:
recving rate: 2350 msg/s, min/avg/max latency: 588078478/588352905/588588968 microseconds
recving rate: 1844 msg/s, min/avg/max latency: 588589350/588845737/589195341 microseconds
recving rate: 1562 msg/s, min/avg/max latency: 589182735/589571192/589959071 microseconds
recving rate: 2080 msg/s, min/avg/max latency: 589959557/590284302/590679611 microseconds
The problem is that it is consuming an incredible amount of CPU:
I was testing on a micro instance earlier and it was completely consuming all resources on the instance.
Is this to be expected? Am I doing something wrong?
Thanks.
Edit:
The real reason for this post was that celerybeat seemed to run okay for awhile and then suddenly consume all resources on the system. I installed the rabbitmq management tools and have been investigating how the queues are created from celery and from the rabbitmq test suite. It seems to me that celery is orphaning these queues and they are not going away.
Here is the queue as generated by the test suite. One queue is created and all the messages go into it and come out:
Celerybeat creates a new queue for every time it runs the task:
It sets the auto-delete parameter to true, but I'm not entirely sure when these queues will get deleted. They seem to just slowly build up and eat resources.
Does anyone have an idea?
Thanks.
Ok, I figured it out.
Here's the relevant piece of documentation:http://readthedocs.org/docs/celery/latest/userguide/tasks.html#amqp-result-backend
这篇关于RabbitMQ在EC2上消耗CPU数量的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！