Python Celery定时任务详细讲解

#-*-coding=utf-8-*-
from datetime import timedelta
from celery.schedules import crontab
# 中间件
BROKER_URL = 'redis://scck2svr03:6379/6'
# 结果存储
# CELERY_RESULT_BACKEND = 'redis://:scck2svr03:6379/5'
CELERYD_CONCURRENCY = 20  # 并发worker数
CELERYD_FORCE_EXECV = True  # 非常重要,有些情况下可以防止死锁
# CELERY_TASK_SERIALIZER = 'msgpack' # 任务序列化和反序列化使用msgpack方案
CELERY_RESULT_SERIALIZER = 'json'  # 读取任务结果一般性能要求不高，所以使用了可读性更好的JSON
CELERY_TASK_RESULT_EXPIRES = 60 * 60 * 24  # celery任务结果有效期
CELERY_ACCEPT_CONTENT = ['json', 'msgpack']  # 指定接受的内容类型
CELERY_TIMEZONE = 'Asia/Shanghai'  # celery使用的时区
CELERY_ENABLE_UTC = True  # 启动时区设置
# 默认worker队列
#CELERY_DEFAULT_QUEUE = 'default'
# 异步任务
CELERY_IMPORTS = (
    "celery_learning.email.tasks"
)
# celery beat
CELERYBEAT_SCHEDULE = {
    'periodic_task-every-minute': {
        'task': 'celery_learning.email.tasks.add',
        'schedule': crontab(minute="*/1"),
        'args': (1,2)
    },
    'periodic_task-every-10second':{
        'task':'celery_learning.email.tasks.add',
        'schedule':timedelta(seconds=10),
        'args':(1,12)
    }
}

终端1:celery -A celery_learning.celery_app worker -l info -P gevent
终端2:celery -A celery_learning.celery_app beat