tornado ThreadPoolExecutor

最新推荐文章于 2021-12-02 10:45:50 发布

转载最新推荐文章于 2021-12-02 10:45:50 发布 · 742 阅读

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原文链接：http://www.cnblogs.com/howhy/p/9627832.html

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#python #网络

本文介绍了一个使用Python Tornado框架实现的异步任务处理示例。通过创建线程池并在HTTP请求处理中使用装饰器来执行阻塞任务，从而避免阻塞Tornado的I/O循环。

import os
import sys 
import time

import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
import tornado.gen
from tornado.concurrent import run_on_executor
from concurrent.futures import ThreadPoolExecutor
from tornado.options import define, options

class HasBlockTaskHandler(tornado.web.RequestHandler):
    executor = ThreadPoolExecutor(20)   #起线程池，由当前RequestHandler持有
    
    @tornado.gen.coroutine
    def get(self):
        strTime = time.strftime("%Y-%m-%d %H:%M:%S")
        print "in get before block_task %s" % strTime
        result = yield self.block_task(strTime)
        print "in get after block_task"
        self.write("%s" % (result))

    @run_on_executor
    def block_task(self, strTime):
        print "in block_task %s" % strTime
        for i in range(1, 16):
            time.sleep(1)
            print "step %d : %s" % (i, strTime)
        return "Finish %s" % strTime

if __name__ == "__main__":
    tornado.options.parse_command_line()
    app = tornado.web.Application(handlers=[(r"/sleep", HasBlockTaskHandler)], autoreload=False, debug=False)
    http_server = tornado.httpserver.HTTPServer(app)
    http_server.listen(8888)
    tornado.ioloop.IOLoop.instance().start()