Django中使用Celery实现异步任务队列

本次测试是在Centos环境下，用到了redis做为中间件

首先安装redis，这里将不一一结束redis的安装。

 

安装完redis后，安装celery

pip install celery

 

1、在django项目的settings中添加：

# Celery settings
CELERY_BROKER_URL = 'redis://localhost'
CELERY_RESULT_BACKEND = 'redis://localhost'
CELERY_IMPORTS = ("这里导入的是须要执行方法的文件", )        # 若是不加这一行的话，会显示任务为注册，查了很久也没查出缘由，因此加上这条配置，导入方法
#: Only add pickle to this list if your broker is secured
#: from unwanted access (see userguide/security.html)

CELERY_TASK_TRACK_STARTED = True
CELERY_TASK_SOFT_TIME_LIMIT = 240
CELERY_TASK_TIME_LIMIT = 300

CELERY_WORKER_SEND_TASK_EVENTS = True
CELERY_TASK_SEND_SENT_EVENT = True

CELERY_ACCEPT_CONTENT = ['json']
CELERY_TASK_SERIALIZER = 'json'

settings

 

2、在项目的app下建立celery.py

from __future__ import absolute_import, unicode_literals
import os
from celery import Celery

# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', '项目名.settings')

app = Celery('项目名')
# this ‘demo’ is your project name !!!

# Using a string here means the worker doesn't have to serialize
# the configuration object to child processes.
# - namespace='CELERY' means all celery-related configuration keys
#   should have a `CELERY_` prefix.
app.config_from_object('django.conf:settings', namespace='CELERY')

# Load task modules from all registered Django app configs.
app.autodiscover_tasks()

celery.py

 

3、而后写须要执行的方法：

import time
from celery import Celery
​
celery_app = Celery('该文件路径', backend='redis://localhost', broker='redis://localhost')
# this is celery settings
​
# this is a function about need many time
@celery_app.task
def add(a, b):
    time.sleep(5)
    return a + b

task.py

 

4、最后执行命令

celery -A 项目名 worker --loglevel=info --pool=solo