首先需要创建一个Celery实例,即Celery application(app). brokers = 'redis://127.0.0.1:6379/5' backend = 'redis://127.0.0.1:6379/6' app = Celery('tasks', broker=brokers, backend=backend) 1. 2. 3. 4. 5. 其中Celery中: ‘tasks’为当前模块的名称,这个用来自动的获取在 __main__\ module中...
Broker为中间人:ta能检测任务请求,并开启并发模式,交由workers进行处理。 backend:就是任务执行结束的结果存储的地方,这个地方一般为数据库,例如:redis、RabbitMQ、librabbitmq等 总而言之:这个方法在一定程度上解决python因为GIL锁造成速度慢 二、异步任务 1. 单目录 (1)celery_test.py: celery启动的文件,里面包含...
使用cr.AsyncReult('id',backend='redis://110.1.1.227:6379/0')同样报错…请问大家这个是什么原因… 附上代码结构和大概内容:celery_engine.py from celery import Celery app = Celery('f_worker') app.config_from_object('celery_config') if __name__ == '__main__': app.start() celery_...
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...
Checklist software -> celery:4.2.1 (windowlicker) kombu:4.2.1 py:3.7.0 billiard:3.5.0.4 redis:2.10.6 platform -> system:Darwin arch:64bit imp:CPython loader -> celery.loaders.app.AppLoader settings -> transport:redis results:redis://loca...
首先,我们必须拥有一个broker消息队列用于发送和接收消息。Celery官网给出了多个broker的备选方案:RabbitMQ、Redis、Database(不推荐)以及其他的消息中间件。在官网的强力推荐下,我们就使用RabbitMQ作为我们的消息中间人。在Linux上安装的方式如下: sudo apt-get install rabbitmq-server ...
CELERY_RESULT_BACKEND = "celery_redis_cluster_backend.redis_cluster.RedisClusterBackend" CELERY_REDIS_CLUSTER_SETTINGS = { 'startup_nodes': [ {"host": "localhost", "port": "6379"}, {"host": "localhost", "port": "6380"}, {"host": "localhost", "port": "6381"} ]} ...
@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. ...
Reproducible example Install Celery 4.4.7: python3 -m pip install -U 'celery[redis]==4.4.7' Start Redis on 6395: redis-server --daemonize yes --port 6395 Create celeryfoo.py: import time from celery import Celery celery = Celery("hi") re...
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...