我想知道在python3中結(jié)束工作線程的方法。在

如果你看這個(gè)來(lái)自this question的代碼示例，worker中有一個(gè)while True循環(huán)，我看到的是{}被調(diào)用了。在

為什么這個(gè)工人會(huì)自動(dòng)結(jié)束？在

我特別感興趣的是：

有哪些選項(xiàng)可以結(jié)束workers無(wú)限循環(huán)？

似乎唯一的選擇是調(diào)用break或{}，但我不確定這些是否會(huì)殺死線程。在

為了清楚起見(jiàn)，我實(shí)際上希望這個(gè)線程在其任務(wù)完成時(shí)死亡，而我看不到任何地方記錄的殺死線程的方法。在#!python3

import threading

from queue import Queue

import time

# lock to serialize console output

lock = threading.Lock()

def do_work(item):

time.sleep(.1) # pretend to do some lengthy work.

# Make sure the whole print completes or threads can mix up output in one line.

with lock:

print(threading.current_thread().name,item)

# The worker thread pulls an item from the queue and processes it

def worker():

while True:

item = q.get()

do_work(item)

q.task_done()

# Create the queue and thread pool.

q = Queue()

for i in range(4):

t = threading.Thread(target=worker)

t.daemon = True # thread dies when main thread (only non-daemon thread) exits.

t.start()

# stuff work items on the queue (in this case, just a number).

start = time.perf_counter()

for item in range(20):

q.put(item)

q.join() # block until all tasks are done

# "Work" took .1 seconds per task.

# 20 tasks serially would be 2 seconds.

# With 4 threads should be about .5 seconds (contrived because non-CPU intensive "work")

print('time:',time.perf_counter() - start)

總結(jié)

以上是生活随笔為你收集整理的python 结束子线程并保证工作完成_python3中在线程中结束工作进程的方法的全部?jī)?nèi)容，希望文章能夠幫你解決所遇到的問(wèn)題。

如果覺(jué)得生活随笔網(wǎng)站內(nèi)容還不錯(cuò)，歡迎將生活随笔推薦給好友。