Python in Azure Functions 基于Python的Azure Functions实践 赵健 - Microsoft 目录 CONTENTS Python 在 Azure 中无处不在 粘合剂 – Azure Functions Azure Functions 实践 Python 在 Azure 中无处不在 IEEE Spectrum’s sixth annual interactive Dev Tools Azure DevOps Azure NoteBook 运行 Python 代码 VM App Service Functions AKS ACI Azure Batch Notebook 连接 & 集成 Azure服务 Functions 认知服务 CosmosDB Event Grid Blob … Python 应用在Azure中的多种方式 Cloud-Optimized Cost control and Operations model Azure Azure 粘合剂 – Azure Functions Serverless in Azure – FaaS 是 Serverless 架构的核心 什么是 Azure Functions .NET, Node, Java, Docker, PHP, Ruby, Python Staging & deployment

cpu_affinity Brokers Redis Disque IronMQ Amazon SQS MongoDB Django ORM Custom Broker Reference Tasks async() Async Cached operations Synchronous testing Connection pooling Reference Groups Reference Iterable configure it and install the appropriate client library. Run Django Q cluster in order to handle tasks async: $ python manage.py qcluster Requirements Django Q is tested for Python 2.7 and 3.6 Django [https://www test without the cluster by setting the sync option to True in the configuration. This will run all async calls inline through a single cluster worker without the need for forking. Other known issues are:

cpu_affinity Brokers Redis Disque IronMQ Amazon SQS MongoDB Django ORM Custom Broker Reference Tasks async_task() AsyncTask Cached operations Synchronous testing Connection pooling Reference Groups Reference configure it and install the appropriate client library. Run Django Q cluster in order to handle tasks async: $ python manage.py qcluster Requirements Django Q is tested for Python 3.7, 3.8 and 3.9 Django [https://github.com/joeyespo/django-q-email] is a compatible Django email backend that will automatically async queue your emails. Compatibility Django Q is still a young project. If you do find any incompatibilities

cpu_affinity Brokers Redis Disque IronMQ Amazon SQS MongoDB Django ORM Custom Broker Reference Tasks async_task() AsyncTask Cached operations Synchronous testing Connection pooling Reference Groups Reference configure it and install the appropriate client library. Run Django Q cluster in order to handle tasks async: $ python manage.py qcluster Requirements Django Q is tested for Python 3.7, 3.8 and 3.9 Django [https://github.com/joeyespo/django-q-email] is a compatible Django email backend that will automatically async queue your emails. Compatibility Django Q is still a young project. If you do find any incompatibilities

world") def make_app(): return tornado.web.Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait()if __name__ decorated coroutines How it works How to call a coroutine Coroutine patterns Calling blocking functions Parallelism Interleaving Looping Running in the background Queue example - a concurrent web spider why CPU blocking must be taken as seriously as other kinds of blocking, consider password hashing functions like bcrypt [http://bcrypt.sourceforge.net/], which by design use hundreds of milliseconds of CPU

world") def make_app(): return tornado.web.Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ decorated coroutines How it works How to call a coroutine Coroutine patterns Calling blocking functions Parallelism Interleaving Looping Running in the background Queue example - a concurrent web spider why CPU blocking must be taken as seriously as other kinds of blocking, consider password hashing functions like bcrypt [http://bcrypt.sourceforge.net/], which by design use hundreds of milliseconds of CPU

world") def make_app(): return tornado.web.Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ decorated coroutines How it works How to call a coroutine Coroutine patterns Calling blocking functions Parallelism Interleaving Looping Running in the background Queue example - a concurrent web spider why CPU blocking must be taken as seriously as other kinds of blocking, consider password hashing functions like bcrypt [http://bcrypt.sourceforge.net/], which by design use hundreds of milliseconds of CPU

world") def make_app(): return tornado.web.Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ decorated coroutines How it works How to call a coroutine Coroutine patterns Calling blocking functions Parallelism Interleaving Looping Running in the background Queue example - a concurrent web spider why CPU blocking must be taken as seriously as other kinds of blocking, consider password hashing functions like bcrypt [http://bcrypt.sourceforge.net/], which by design use hundreds of milliseconds of CPU

world") def make_app(): return tornado.web.Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ decorated coroutines How it works How to call a coroutine Coroutine patterns Calling blocking functions Parallelism Interleaving Looping Running in the background Queue example - a concurrent web spider why CPU blocking must be taken as seriously as other kinds of blocking, consider password hashing functions like bcrypt [http://bcrypt.sourceforge.net/], which by design use hundreds of milliseconds of CPU

world") def make_app(): return tornado.web.Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ decorated coroutines How it works How to call a coroutine Coroutine patterns Calling blocking functions Parallelism Interleaving Looping Running in the background Queue example - a concurrent web spider why CPU blocking must be taken as seriously as other kinds of blocking, consider password hashing functions like bcrypt [http://bcrypt.sourceforge.net/], which by design use hundreds of milliseconds of CPU