djcelery执行异步任务和定时任务

import djcelery
from datetime import timedelta

djcelery.setup_loader()

CELERY_QUEUES = {
    ‘beat_tasks‘:{
        ‘exchange‘:‘beat_tasks‘,
        ‘exchange_type‘:‘direct‘,
        ‘binding_key‘:‘beat_tasks‘,
    },
    ‘work_queue‘: {
        ‘exchange‘: ‘work_queue‘,
        ‘exchange_type‘: ‘direct‘,
        ‘binding_key‘: ‘work_queue‘,
    }
}

CELERY_DEFAULT_QUEUE = ‘work_queue‘
CELERY_IMPORTS = (
    ‘app01.tasks‘,
)
# 有些情况可以防止死锁
CELERYD_FORCE_EXECV = True
# 设置并发worker数量
CELERYD_CONCURRENCY = 4
# 允许重试
CELERY_ACKS_LATE = True
# 每个worker最多执行100个任务被销毁，可以防止内存泄漏
CELERYD_MAX_TASKS_PER_CHILD = 100
# 超时时间
CELERYD_TASK_TIME_LIMIT = 12 * 30

CELERYBEAT_SCHEDULE = {
    ‘task1‘:{
        ‘task‘:‘course-task‘,
        ‘schedule‘:timedelta(seconds=5),
        ‘options‘:{
            ‘queue‘:‘beat_tasks‘
        }
    }
}

celeryconfig.py

# from celery import task
import time
# @task
# def add(x,y):
#     time.sleep(3)
#     return x+y

from celery.task import Task

class CourseTask(Task):
    name = ‘course-task‘

    def run(self, *args, **kwargs):
        print(‘start course task‘)
        time.sleep(4)
        print(‘args={}, kwargs={}‘.format(args, kwargs))
        print(‘end course task‘)

tasks.py

from app01.tasks import CourseTask
from django.http import JsonResponse
def do(request):
    print(‘start do request‘)
    # CourseTask.delay()
    CourseTask.apply_async(args=(‘hello‘,),queue=‘work_queue‘)
    print(‘end do request‘)
    return JsonResponse({‘result‘:‘ok‘})

views.py

原文地址：https://www.cnblogs.com/xuqidong/p/12229999.html