share | improve this question | follow | edited May 23 '19 at 7:23. asynchronous flask gunicorn python-3.7 gevent. 转自：https://blog.csdn.net/dutsoft/article/details/51452598Flask，webpy，Django都带着 WSGI server，当然性能都不好，自带的web server 更多的是测试用途。线上发布时，则使用高性能的 wsgi server或者是联合nginx做uwsgi 。 另外， gunicorn 默认使用同步阻塞的网络模型(-k sync)，对于大并发的访问可能表现不够好， 它还支持其它更好的模式，比如：gevent或meinheld。gevent是一个基于libev的并发库。它为各种并发和网络相关的任务提供了整洁的API。gunicorn对于“协程”也就是Gevent的支持非常好。 单纯的flask 自带的web服务器做下测试，会看到压力大的时候出现socket的问题，因为他是单进程单线程的。使用gunicorn来启动，响应速度和能力提升显著。 import gevent.monkey The bulk of this article will be about how to set up the Gunicorn application server to launch the application and Nginx to act as a fron asked May 23 '19 at 7:12.
Use Git or checkout with SVN using the web URL. Without gevent patches only modules from the Python standard library. Martin Thoma Martin Thoma. What explicit are the risks to using 'g' in flask when running a server based on Gevent? How to use Flask with gevent (uWSGI and Gunicorn editions) Create simple Flask application. How to use Flask with gevent (uWSGI and Gunicorn editions) When using gunicorn with the gevent worker and the WebSocket support provided by gevent-websocket, the command that starts the server must be changed to select a custom gevent web server that supports the WebSocket protocol. x_forwarded_for_header =
but the test shows >5 seconds due to the blocking behavior of psycopg2 calls:To bypass this limitation, we need to use psycogreen module to patch psycopg2: GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. In this guide, we will be setting up a simple Python application using the Flask micro-framework on Ubuntu 14.04. ... flask_test_client – The instance of the Flask test client currently in use. 78.7k 99 99 gold badges 441 441 silver badges 682 682 bronze badges. Martin Thoma. Or are there 'none' meaning that monkey patching makes flask use greenlet local vars instead of thread locals?
pip install gunicorn. First, we need to emulate a slow 3rd party API: gevent.monkey.patch_all()
3rd party modules, like psycopg2, corresponding IO will still be blocking:We expect ~2 seconds to perform 10 one-second-long HTTP requests with concurrency 5, gevent是基于greenlet的网络库。 guincorn是支持wsgi协议的http server，gevent只是它支持的模式之一 ，是为了解决django、flask这些web框架自带wsgi server性能低下的问题。它的特点是与各个web框架结合紧密，部署特别方便。 gunicorn安装和使用 安装. How to use Flask with gevent (uWSGI and Gunicorn editions) If we use add a comment | 1 Answer Active Oldest Votes.
启动 Then, we create a simple flask application with a dependency on the slow 3rd party API:Notice, how it patches our flask application. 'gunicorn.workers.ggevent.GeventWorker'