celery-redis小例子

1.安装redis
2. pip install celery
pip install eventlet
3.创建tasks.py

from celery import Celery

app = Celery('tasks',broker='redis://:****@127.0.0.1:6379/0')

@app.task
def add(x,y):
    print("running。。。",x,y)
    return x+y

4.启动redis （带密码）
5.进入dos界面输入命令：celery -A tasks(模块名) worker -l info -P eventlet

D:\PycharmProjects\celery and redis>celery -A tasks worker -l info -P eventlet

 -------------- celery@888888888 v4.4.7 (cliffs)
--- ***** -----
-- ******* ---- Windows-8888888 2020-11-18 16:00:27
- *** --- * ---
- ** ---------- [config]
- ** ---------- .> app:         tasks:88888888
- ** ---------- .> transport:   redis://:**@127.0.0.1:6379/0
- ** ---------- .> results:     disabled://
- *** --- * --- .> concurrency: 4 (eventlet)
-- ******* ---- .> task events: OFF (enable -E to monitor tasks in this worker)
--- ***** -----
 -------------- [queues]
                .> celery           exchange=celery(direct) key=celery


[tasks]
  . tasks.add

[2020-11-18 16:00:27,289: INFO/MainProcess] Connected to redis://:**@127.0.0.1:6379/0
[2020-11-18 16:00:27,298: INFO/MainProcess] mingle: searching for neighbors
[2020-11-18 16:00:28,319: INFO/MainProcess] mingle: all alone
[2020-11-18 16:00:28,342: INFO/MainProcess] pidbox: Connected to redis://:**@127.0.0.1:6379/0.

6.在dos界面，进入tasks.py所在目录，执行：

D:\PycharmProjects\celery and redis>python
Python 3.5.2 |Anaconda 4.2.0 (64-bit)| (default, Jul  5 2016, 11:41:13) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> from tasks import add
>>> add.delay(2,2)
<AsyncResult: ed2338f6-b03c-4779-8b52-7b7f43cb4b44>
>>>

7.在第5步启动的dos界面显示：

[2020-11-18 16:02:12,335: INFO/MainProcess] Received task: tasks.add[ed2338f6-b03c-4779-8b52-7b7f43cb4b44]
[2020-11-18 16:02:12,336: WARNING/MainProcess] running。。。
[2020-11-18 16:02:12,336: WARNING/MainProcess] 2
[2020-11-18 16:02:12,336: WARNING/MainProcess] 2
[2020-11-18 16:02:12,337: INFO/MainProcess] Task tasks.add[ed2338f6-b03c-4779-8b52-7b7f43cb4b44] succeeded in 0.0s: 4