celery

How does one check whether a task is running in celery (specifically, I'm using celery-django)? I've read the documentation, and I've googled, but I can't see a call like: my_example_task.state() == RUNNING My use-case is that I have an external (java) service for transcoding. When I send a document to be transcoded, I want to check if the task that runs that service is running, and if not, to (re)start it. I'm using the current stable versions - 2.4, I believe. Return the task_id (which is given from .delay()) and ask the celery instance afterwards about the state: x = method.delay(1,2) print

什么是Clelery Celery是一个简单、灵活且可靠的，处理大量消息的分布式系统 专注于实时处理的异步任务队列 同时也支持任务调度 celery能做什么 异步任务 定时任务 Celery架构 Celery的架构由三部分组成，消息中间件（message broker），任务执行单元（worker）和任务执行结果存储（task result store）组成 消息中间件 Celery本身不提供消息服务，但是可以方便的和第三方提供的消息中间件集成。包括，RabbitMQ, Redis等等 任务执行单元 Worker是Celery提供的任务执行的单元，worker并发的运行在分布式的系统节点中。 任务结果存储 Task result store用来存储Worker执行的任务的结果，Celery支持以不同方式存储任务的结果，包括AMQP, redis等 版本支持情况 Celery version 4.0 runs on Python ❨2.7, 3.4, 3.5❩ PyPy ❨5.4, 5.5❩ This is the last version to support Python 2.7, and from the next version (Celery 5.x) Python 3.5 or newer is required. If you’re running an older

I am launching a django application on aws elastic beanstalk. I'd like to run background task or worker in order order to run celery. I can not find if it is possible or not. If yes how could it be achieved? Here is what I am doing right now, but this is producing an event type error every time. container_commands: 01_syncdb: command: "django-admin.py syncdb --noinput" leader_only: true 50_sqs_email: command: "./manage.py celery worker --loglevel=info" leader_only: true yellowcap As @chris-wheadon suggested in his comment, you should try to run celery as a deamon in the background. AWS Elastic

目录 原文: http://106.13.73.98/__/156/ 安装： pip install celery celery 是基于 Python 实现的模块，用于执行异步定时周期任务。 celery 组成结构： 用户任务 app ： 用于生成任务 管道 broker 与 backend ：前者用于存放任务，后者用于存放任务执行结果 员工 worker ：负责执行任务 @(Python celery) 简单示例 员工文件（workers.py）： import time from celery import Celery # 创建一个Celery实例，这个就是我们用户的应用app my_task = Celery( 'tasks', broker='redis://127.0.0.1:6380', # 指定存放任务的地方，这个指定为redis backend='redis://127.0.0.1:6380', # 指定存放任务执行结果的地方 ) # 为应用创建任务 @my_task.task def fn1(x, y): time.sleep(10) return x + y """ 执行命令： Linux：celery worker -A workers -l INFO Windows：celery worker -A workers -l INFO -P eventlet