结果默认是不可用的,如果想要使用RPC或者保存踪迹任务结果在数据库中,需要配置Celery去使用一个结果后端(result backend) 保存结果(keep results) 如果需要保存任务运行的轨迹,Celery 需要存储状态在一些内建(built-in)的后端,例如SQLAIchemy/DjangoORM/Memcached/Redis/RPC(RabbitMQ/AMQP)等,或者其他自定义的后端 比较...
(1)celery_test.py: celery启动的文件,里面包含配置、任务 # 异步的服务 import celery import time broker = 'redis://127.0.0.1:6379/1' # 消息中间件 backend = "redis://127.0.0.1:6379/2" # 结果存储 cel = celery.Celery('test', backend=backend, broker=broker) @cel.task def send_email(nam...
发现没有做任何修改的时候,我们在 backend database 存result的date_done的时区是默认的utc # celery/backends/base.pydef_get_result_meta(self,result,state,traceback,request,format_date=True,encode=False):ifstateinself.READY_STATES:date_done=datetime.utcnow()ifformat_date:date_done=date_done.isoforma...
小弟在学习celery的过程中遇到了一个问题:在使用apply_async调用任务后 ,无法通过celery.result.Asyncresult(id='任务id')获取对应的任务状态,返回值等信息,会报错:'DisabledBackend' object has no attribu...
AIRFLOW__CELERY__BROKER_URL="redis://$REDIS_PREFIX$REDIS_HOST:$REDIS_PORT/1" AIRFLOW__CELERY__RESULT_BACKEND="db+postgresql://$POSTGRES_USER:$POSTGRES_PASSWORD@$POSTGRES_HOST:$POSTGRES_PORT/$POSTGRES_DB" AIRFLOW__CELERY__CELERY_RESULT_BACKEND="db+postgresql://$POSTGRES_USER:$POSTGRES_PASSW...
Method/Function: backend 导入包: celeryresult 每个示例代码都附有代码来源和完整的源代码,希望对您的程序开发有帮助。 示例1 def test_children(self): x = AsyncResult('1') children = [EagerResult(str(i), i, states.SUCCESS) for i in range(3)] x.backend = Mock() x.backend.get_children.ret...
@pytest.fixture(scope='session') def celery_config(): return { "result_backend": "redis://localhost/0", "broker_url": "amqp://guest:guest@localhost:5672//" } Expected behavior I would expect the result_backend to be available to the test. ...
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CELERY_RESULT_BACKEND = 'amqp://guest@localhost//' 1. 2. 3. 4. 其中,当djcelery.setup_loader()运行时,Celery便会去查看INSTALLD_APPS下包含的所有app目录中的tasks.py文件,找到标记为task的方法,将它们注册为celery task。BROKER_URL和CELERY_RESULT_BACKEND分别指代你的Broker的代理地址以及Backend(result...
I would like to set redis as a result_backend , however I can see that DATABASE_CELERY_CMD only works with db . Is there any workaround to it? The reason of using redis for result_backend is because there are many idle connections on postgres from workers (presumably because of db as...