【发布时间】:2019-06-21 16:31:42
【问题描述】:
系统规范 - macOS 10.13.6 - Python 3.7.0 - 龙卷风 5.1.1
我想使用 ThreadPoolExecutor 来运行阻塞函数 在提供 RESTful 服务的 Tornado 实例中。
只要我不尝试产生已执行函数返回的结果,ThreadPool 就会按预期工作并并行生成四个工作线程(请参阅下面的代码和控制台日志)。
ThreadPoolExecutor 不产生结果
import time
import tornado.web
from tornado.concurrent import run_on_executor
from concurrent.futures import ThreadPoolExecutor
from tornado.ioloop import IOLoop
MAX_WORKERS = 4
i = 0
class Handler(tornado.web.RequestHandler):
executor = ThreadPoolExecutor(max_workers=MAX_WORKERS)
@run_on_executor
def background_task(self, i):
print("going sleep %s" % (i))
time.sleep(10);
print("waking up from sleep %s" % (i))
return str(i)
@tornado.gen.coroutine
def get(self):
global i
i+=1
self.background_task(i)
def make_app():
return tornado.web.Application([
(r"/", Handler),
])
if __name__ == "__main__":
app = make_app()
app.listen(8000, '0.0.0.0')
IOLoop.current().start()
控制台输出
going sleep 1
going sleep 2
going sleep 3
going sleep 4
waking up from sleep 1
going sleep 5
waking up from sleep 2
going sleep 6
waking up from sleep 3
going sleep 7
waking up from sleep 4
going sleep 8
waking up from sleep 5
going sleep 9
waking up from sleep 6
waking up from sleep 7
waking up from sleep 8
waking up from sleep 9
可以看出,四个并行工作程序正在运行,一旦一个完成,一个排队的函数就会被执行。
但是,当我尝试使用协程生成返回函数时,我遇到了一些问题。虽然它没有完全阻塞 IoLoop,但它会在没有明确模式的情况下延迟。
更改的代码:ThreadPoolExecutor 现在产生结果
MAX_WORKERS = 4
i = 0
class Handler(tornado.web.RequestHandler):
executor = ThreadPoolExecutor(max_workers=MAX_WORKERS)
@run_on_executor
def background_task(self, i):
print("%s: Going sleep %s" % (time.time(), i))
time.sleep(10);
print("%s: Waiking up from sleep %s" % (time.time(), i))
return str(i)
@tornado.gen.coroutine
def get(self):
global i
i+=1
result = yield self.background_task(i)
self.write(result)
查看控制台输出,第一个和第二个请求只有一个线程运行,一旦单个线程完成就执行排队任务(导致启动任务 2 延迟 10 秒,启动任务 3 延迟 10 秒)。但是,任务 3、4、5 和 6 是并行执行的,但每次调用之间的延迟不同。
控制台输出
1548687401.331075: Going sleep 1
1548687411.333173: Waking up from sleep 1
1548687411.340162: Going sleep 2
1548687421.3419871: Waking up from sleep 2
1548687421.347039: Going sleep 3
1548687423.4030259: Going sleep 4
1548687423.884313: Going sleep 5
1548687424.6828501: Going sleep 6
1548687431.351986: Waking up from sleep 3
1548687431.3525162: Going sleep 7
1548687433.407232: Waking up from sleep 4
1548687433.407604: Going sleep 8
1548687433.8846452: Waking up from sleep 5
1548687433.885139: Going sleep 9
1548687434.685195: Waking up from sleep 6
1548687434.685662: Going sleep 10
1548687441.3577092: Waking up from sleep 7
1548687441.358009: Going sleep 11
1548687443.412503: Waking up from sleep 8
1548687443.888705: Waking up from sleep 9
1548687444.691127: Waking up from sleep 10
1548687451.359714: Waking up from sleep 11
谁能解释这种行为?你有什么解决办法吗?
【问题讨论】:
-
您是如何生成请求的?如果您使用浏览器选项卡,您可能会遇到tornadoweb.org/en/stable/…
-
嗨@BenDarnell,谢谢你的指点。事实上,我尝试使用多个选项卡、Postman 和在我的浏览器中运行的 ionic 实例。所有人都有我一定错过的文档中描述的问题。它按预期工作。如果您回答,我会将您的评论标记为正确。再次感谢。
标签: python tornado threadpoolexecutor