celery

1.什么是Celery？ 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 2.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 执行流程: user相当于提交任务的人，提交给broker也就是消息中间件,worker相当于工人，broker里面有了用户也就是程序提交的任务，worker就去取出来执行类似于生产者消费者模型，store说简单点就是worker执行结束后的返回结果 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

I am running in to the dreaded MySQL Commands out of Sync when using a custom DB library and celery. The library is as follows: import pymysql import pymysql.cursors from furl import furl from flask import current_app class LegacyDB: """Db Legacy Database connectivity library """ def __init__(self,app): with app.app_context(): self.rc = current_app.config['RAVEN'] self.logger = current_app.logger self.data = {} # setup Mysql try: uri = furl(current_app.config['DBCX']) self.dbcx = pymysql.connect( host=uri.host, user=uri.username, passwd=uri.password, db=str(uri.path.segments[0]), port=int(uri

Is it possible to set a different database to be used with Django Celery? I have a project with multiple databases in configuration and don't want Django Celery to use the default one. I will be nice if I can still use django celery admin pages and read results stored in this different database :) It should be possible to set up a separate database for the django-celery models using Django database routers: https://docs.djangoproject.com/en/1.4/topics/db/multi-db/#automatic-database-routing I haven't tested this specifically with django-celery, but if it doesn't work for some reason, then it's

I'm trying to cluster my Airflow setup and I'm using this article to do so. I just configured my airflow.cfg file to use the CeleryExecutor , I pointed my sql_alchemy_conn to my postgresql database that's running on the same master node, I've set the broker_url to use AWS SQS (I didn't set the access_key_id or secret_key since it's running on an EC2-Instance it doesn't need those), and I've set the celery_result_backend to my postgresql server too. I saved my new airflow.cfg changes, I ran airflow initdb , and then I ran airflow scheduler which worked. I went to the UI and turned on one of my