Question

我在Ubuntu EC2节点上有一个Django项目，我一直用它来设置使用Celery的异步。

我正在关注http://michal.karzynski.pl/blog/2014/05/18/setting-up-an-asynchronous-task-queue-for-django-using-celery-redis/以及文档。

我已经能够在命令行上完成一项基本任务，使用：

(env1)ubuntu@ip-172-31-22-65:~/projects/tp$ celery --app=myproject.celery:app worker --loglevel=INFO

我刚刚意识到，我的队列中有很多任务没有执行：

[2015-03-28 16:49:05,916: WARNING/MainProcess] Restoring 4 unacknowledged message(s).
(env1)ubuntu@ip-172-31-22-65:~/projects/tp$ celery -A tp purge
WARNING: This will remove all tasks from queue: celery.
         There is no undo for this operation!

(to skip this prompt use the -f option)

Are you sure you want to delete all tasks (yes/NO)? yes
Purged 81 messages from 1 known task queue.

如何从命令行获取排队项目列表？

Answer 1

如果您想获得所有计划任务，

celery inspect scheduled

查找所有活动队列

celery inspect active_queues

状态

celery inspect stats

对于所有命令

celery inspect

如果你想明确地说明这一点。因为你使用redis作为队列。然后

redis-cli

>KEYS * #find all keys

然后找出与celery

相关的内容

>LLEN KEY # i think it gives length of list

Answer 2

以下是Redis的复制粘贴解决方案：

def get_celery_queue_len(queue_name):
    from yourproject.celery import app as celery_app
    with celery_app.pool.acquire(block=True) as conn:
        return conn.default_channel.client.llen(queue_name)


def get_celery_queue_items(queue_name):
    import base64
    import json
    from yourproject.celery import app as celery_app

    with celery_app.pool.acquire(block=True) as conn:
        tasks = conn.default_channel.client.lrange(queue_name, 0, -1)

    decoded_tasks = []

    for task in tasks:
        j = json.loads(task)
        body = json.loads(base64.b64decode(j['body']))
        decoded_tasks.append(body)

    return decoded_tasks

它适用于Django。只是不要忘记更改yourproject.celery。

如何在芹菜中列出排队的物品？

2 个答案: