celery 是分布式任务队列,与调度工具 airflow 强强联合,可实现复杂的分布式任务调度,这就是 CeleryExecutor,有了 CeleryExecutor,你可以调度本地或远程机器上的作业,实现分布式任务调度。本文介绍如何配置 airflow 的 CeleryExecutor。 操作步骤 CeleryExecutor 需要 Python 环境安装有 c
CeleryExecutor 需要 Python 环境安装有 celery。 第一步: 安装celery pip install celery Celery 需要一个发送和接受消息的传输者 broker。RabbitMQ 和 Redis 官方推荐的生产环境级别的 broker,这里我们选用 Redis,只是因为安装起来非常方便,而 RabbitMQ 的安装需要 再安装 erlang 。 第二步:安装 redis 先从redis....
以下两种方式,都是10线程加python内存queue方式运行f函数,有了此框架,用户无需代码手写手动操作线程 协程 asyncio 进程 来并发。 1)手动开启线程池方式 importtimefromconcurrent.futuresimportThreadPoolExecutordeff(x):time.sleep(3)print(x)pool=ThreadPoolExecutor(10)if__name__=='__main__':foriinrange(100...
(#5099) * Add a concurrency model with ThreadPoolExecutor * thread model test for pypy * Chain primitive's code example fix in canvas documentation (Regression PR#4444) (#5845) * Changed multi-line string (#5846) This string wasn't rendering properly and was printing the python statement ...
(venv) $python manage.py runserver 0.0.0.0:8000Django version 2.1, using settings 'kube_django.settings' Starting development server at http://0.0.0.0:8000/ Quit the server with CONTROL-C. In the web browser, visit the server's domain name or IP address followed by :8000 to reach default...
Last I checked, the async redis clients were not perfect (there are a couple for tornado). What I did in these situations a lot of times was use a thread pool executor and futures to make redis-py behave like an async client. as long as you don't have too many concurrent tasks and...
for generate provider packages before https://github.com/apache/airflow/pull/35617 /provider_packages/ # This directory used for store autogenerated images /images # Dask Executor tests generate this directory /tests/executors/dask-worker-space/ # airflow-build-dockerfile an...