python 中的run_in_executor 和 run_on_executor 实现在异步中调用阻塞函数

有个挺好玩的东西 python中asyncio 有两个函数 run_in_executor 和 run_on_executor

run_on_executor 用法

##这部分懒得写demo了 随意找地方复制的 = =

from concurrent.futures import ThreadPoolExecutor
from tornado.ioloop import IOLoop
from tornado.concurrent import run_on_executor

class SleepHandler(tornado.web.RequestHandler):
    executor = ThreadPoolExecutor(10)
    @tornado.web.asynchronous
    @tornado.gen.coroutine
    def get(self):
        start = time.time()
        res = yield self.sleep()
        self.write("when i sleep %f s" % (time.time() - start))
        self.finish()

    @run_on_executor
    def sleep(self):
        time.sleep(5)
        return 5

run_in_executor 用法

class Index(basic):
    async def get(self):
        name =  self.request.match_info.get('name', "Anonymous")
        text = "Hello, " + name
        loop = asyncio.get_event_loop()
        print(loop.__hash__())
        c = await  loop.run_in_executor(None,fuck,"asasas")
        return self.outJson(text=c)

def fuck(data)->str:
    return data+"async!!!"

似乎差别不是很大 = =

继续折腾！