問題描述
我正在學習如何使用 Python 多處理庫.然而，當我瀏覽一些示例時，我最終在我的后臺運行了許多 python 進程.
I am learning how to use the Python multiprocessing library. However, while I am going through some of the examples, I ended up with many python processes running in my background.
其中一個示例如下所示:
from multiprocessing import Process, Lock
def f(l, i):
l.acquire()
print 'hello world', i
l.release()
if __name__ == '__main__':
lock = Lock()
for num in range(10): # I changed the number of iterations from 10 to 1000...
Process(target=f, args=(lock, num)).start()
現在這是我的TOP"命令的屏幕截圖:
Now here is a screen shot of my 'TOP' command:
88950 Python 0.0 00:00.00 1 0 9 91 1584K 5856K 2320K 1720K 2383M 82441 1 sleeping 1755113321 799
88949 Python 0.0 00:00.00 1 0 9 91 1584K 5856K 2320K 1720K 2383M 82441 1 sleeping 1755113321 798
88948 Python 0.0 00:00.00 1 0 9 91 1580K 5856K 2316K 1716K 2383M 82441 1 sleeping 1755113321 797
88947 Python 0.0 00:00.00 1 0 9 91 1580K 5856K 2316K 1716K 2383M 82441 1 sleeping 1755113321 796
88946 Python 0.0 00:00.00 1 0 9 91 1576K 5856K 2312K 1712K 2383M 82441 1 sleeping 1755113321 795
88945 Python 0.0 00:00.00 1 0 9 91 1576K 5856K 2312K 1712K 2383M 82441 1 sleeping 1755113321 794
88944 Python 0.0 00:00.00 1 0 9 91 1576K 5856K 2312K 1712K 2383M 82441 1 sleeping 1755113321 794
88943 Python 0.0 00:00.00 1 0 9 91 1572K 5856K 2308K 1708K 2383M 82441 1 sleeping 1755113321 792
88942 Python 0.0 00:00.00 1 0 9 91 1568K 5856K 2304K 1708K 2383M 82441 1 sleeping 1755113321 790
88941 Python 0.0 00:00.00 1 0 9 91 1564K 5856K 2300K 1704K 2383M 82441 1 sleeping 1755113321 789
88938 Python 0.0 00:00.00 1 0 9 91 1564K 5856K 2300K 1704K 2383M 82441 1 sleeping 1755113321 788
88936 Python 0.0 00:00.00 1 0 9 91 1576K 5856K 2296K 1716K 2383M 82441 1 sleeping 1755113321 787
88935 Python 0.0 00:00.00 1 0 9 91 1560K 5856K 2296K 1700K 2383M 82441 1 sleeping 1755113321 787
88934 Python 0.0 00:00.00 1 0 9 91 1560K 5856K 2296K 1700K 2383M 82441 1 sleeping 1755113321 786
88933 Python 0.0 00:00.00 1 0 9 91 1556K 5856K 2292K 1696K 2383M 82441 1 sleeping 1755113321 785
88932 Python 0.0 00:00.00 1 0 9 91 1556K 5856K 2292K 1696K 2383M 82441 1 sleeping 1755113321 784
88931 Python 0.0 00:00.00 1 0 9 91 1552K 5856K 2288K 1692K 2383M 82441 1 sleeping 1755113321 783
88930 Python 0.0 00:00.00 1 0 9 91 1612K 5856K 2288K 1752K 2383M 82441 1 sleeping 1755113321 783
88929 Python 0.0 00:00.00 1 0 9 91 1588K 5856K 2288K 1728K 2383M 82441 1 sleeping 1755113321 782
88927 Python 0.0 00:00.00 1 0 9 91 1608K 5856K 2284K 1748K 2383M 82441 1 sleeping 1755113321 781
88926 Python 0.0 00:00.00 1 0 9 91 1548K 5856K 2284K 1688K 2383M 82441 1 sleeping 1755113321 780
88924 Python 0.0 00:00.00 1 0 9 91 1556K 5856K 2276K 1700K 2383M 82441 1 sleeping 1755113321 778
88923 Python 0.0 00:00.00 1 0 9 91 1540K 5856K 2276K 1684K 2383M 82441 1 sleeping 1755113321 777
88922 Python 0.0 00:00.00 1 0 9 91 1540K 5856K 2276K 1684K 2383M 82441 1 sleeping 1755113321 776
88921 Python 0.0 00:00.00 1 0 9 91 1536K 5856K 2272K 1680K 2383M 82441 1 sleeping 1755113321 774
88920 Python 0.0 00:00.00 1 0 9 91 1528K 5856K 2264K 1672K 2383M 82441 1 sleeping 1755113321 771
88919 Python 0.0 00:00.00 1 0 9 91 1528K 5856K 2264K 1672K 2383M 82441 1 sleeping 1755113321 771
88918 Python 0.0 00:00.00 1 0 9 91 1528K 5856K 2264K 1672K 2383M 82441 1 sleeping 1755113321 770
....
不知道怎么一口氣干掉他們.
I don't know how to kill them in one go.
ps ... |grep python .... 殺死?
ps ... | grep python .... kill?
我需要添加什么樣的python代碼才能避免再次出現這種悲慘的情況.謝謝！
what kind of python code do I need to add to avoid this miserable situation again. Thanks!
推薦答案
你需要 .join() 在工作隊列中的進程上，這會將它們鎖定到調用應用程序，直到所有它們在父進程被殺死時成功或殺死，并以守護程序模式運行.
You need to .join() on your processes in a worker Queue, which will lock them to the calling application until all of them succeed or kill when the parent is killed, and run them in daemon mode.
http://forums.xkcd.com/viewtopic.php?f=11&t=94726
使用多處理模塊結束守護進程
http://docs.python.org/2/library/multiprocessing.html#the-process-class
http://www.python.org/dev/peps/pep-3143/#correct-daemon-behaviour
這篇關于Python 多處理終止進程的文章就介紹到這了，希望我們推薦的答案對大家有所幫助，也希望大家多多支持html5模板網！