# 需要导入模块: from celery import Celery [as 别名]# 或者: from celery.Celery importworker_main[as 别名]defsetup_celery(conf, method, xml_list):app = Celery('Pydbr')@app.task(serializer='pickle')defexecute(conf, xml):logger.info(u'running job {}'.format(xml.find('subject').text))...
celery -A celery_tasks worker -B --loglevel=INFO#或者celery -A celery_tasks worker --beat --loglevel=INFO 前面的启动是在系统中启动celery,如何像执行py模块一样动态的启动呢? 动态启动 可以通过celery.Celery.start或者celery.Celery.worker_main动态启动celery。 worker_main是一个方便的方法,用于模拟命令...
③第3步:启动celery(app)服务 【也就是worker】 非windows 4.x之前版本 celery worker -A celery的包名 -l info 5.x之后的版本 celery -A celery的包名 worker -l info windows pip3 install eventlet 4.x之前版本 celery worker -A celery的包名 -l info -P eventlet 5.x之后的版本 celery -A celery...
app=Celery('tasks',broker='redis://localhost:6379')@app.task()defadd(x,y):returnx+yif__name__=='__main__':app.worker_main(argv=['worker']) 0x03 逻辑概述 当启动一个worker的时候,这个worker会与broker建立链接(tcp长链接),然后如果有数据传输,则会创建相应的channel, 这个连接可以有多个chann...
Celery worker 中的 log 信息：[tasks]. celery_test.notify_friends[2015-11-16 15:02:31,113: INFO/MainProcess] Connected to amqp://guest:**@127.0.0.1:5672//[2015-11-16 15:02:31,122: INFO/MainProcess] mingle: searching for neighbors[2015-11-16 15:02:32,142: INFO/MainProcess] ...
app=Celery('myTest',broker='redis://localhost:6379')@app.task defadd(x,y):print(x+y)returnx+yif__name__=='__main__':app.worker_main(argv=['worker']) 发送代码如下: 代码语言:javascript 复制 from myTestimportadd re=add.apply_async((2,17)) ...
app: __main__:0x1012d8590 - ** --- . concurrency: 8 (processes) - ** --- . events: OFF (enable -E to monitor this worker) - ** --- - *** --- * --- [Queues] -- *** --- . celery: exchange:celery(direct) binding:celery --- *** --- [2012-06-08 16:23:51...
command: python manage.py runserver 0.0.0.0:8000 volumes: - .:/app/ ports: - "8000:8000" depends_on: - postgres redis: image: redis:6.0.8 celeryworker: <<: *django image: pyrty_celeryworker depends_on: - redis - postgres ports: [] command: celery -A pyrty worker -l INFO celery...
#非windows平台:celeryworker-At_celery-linfo#windows装eventlet:celeryworker-At_celery-linfo-Peventlet 查看任务执行结果 fromt_celeryimportappfromcelery.result importAsyncResult#关键字,变量不能定义为关键字id='5331c70b-1b51-4a15-aa17-2fa0f7952c00'if__name__=='__main__':res=AsyncResult(id=id,...
from apps.task1 import addfrom apps.task2 import subsif __name__ == '__main__':add.delay(3,5)subs.apply_async(args=[55,22],task_id='aaaaa2222',countdown=5,shadow = 'zouzou') 执行结果 第三种 app.send_task(task1.add,args=[1,2]) ...