[英]Run multiple python scripts concurrently with different CMD name
I try to call a.py and b.py concurrently in test.py by multiprocessing.Process(), it worked. 我尝试通过multiprocessing.Process()在test.py中同时调用a.py和b.py,它起作用了。 But the process CMD name of a.py, b.py and test.py, which are '/usr/bin/python /tmp/test.py', are the same . 但是a.py,b.py和test.py的进程CMD名称为'/ usr / bin / python /tmp/test.py'是相同的。
# ps -ef | grep b.py
UID PID PPID C STIME TTY TIME CMD
501 61486 39878 0 2:33PM ?? 0:00.05 /usr/bin/python /tmp/test.py
501 61487 61486 0 2:33PM ?? 0:00.01 /usr/bin/python /tmp/test.py
501 61488 61486 0 2:33PM ?? 0:00.01 /usr/bin/python /tmp/test.py
I'd like to have these three processes show different CMD names by 'ps -ef' as below: (which can help me to identify whether different process is running or not.) 我希望这三个进程通过“ ps -ef”显示不同的CMD名称,如下所示:(这可以帮助我识别是否正在运行其他进程。)
# ps -ef | grep b.py
UID PID PPID C STIME TTY TIME CMD
501 61486 39878 0 2:33PM ?? 0:00.05 /usr/bin/python /tmp/test.py
501 61487 61486 0 2:33PM ?? 0:00.01 /usr/bin/python /tmp/a.py
501 61488 61486 0 2:33PM ?? 0:00.01 /usr/bin/python /tmp/b.py
Please help advice:) 请帮忙咨询:)
Source code is as below: 源代码如下:
test.py: test.py:
import multiprocessing
import a
import b
p1 = multiprocessing.Process(target=a.printa)
p2 = multiprocessing.Process(target=b.printb)
p1.start()
p2.start()
a.py: a.py:
import time
def printa():
while True:
print 'a'
time.sleep(1)
if __name__ == '__main__':
printa()
b.py: b.py:
import time
def printb():
while True:
print 'b'
time.sleep(1)
if __name__ == '__main__':
printb()
You are using a.py
and b.py
as a library in python, therefore it is called under the same name as the executed file test.py
. 您正在使用a.py
和b.py
作为python中的库,因此以与执行文件test.py
相同的名称进行调用。 Either using multiprocessing
or joblib
the same situation occurs. 使用multiprocessing
或joblib
发生相同的情况。
There is a name option in the Process
method ( multiprocessing.Process(self, group=None, target=None, name=None, args=(), kwargs={})
), but as @fedterzi says, it is only for identification purposes. Process
方法中有一个名称选项( multiprocessing.Process(self, group=None, target=None, name=None, args=(), kwargs={})
),但是正如@fedterzi所说,它仅用于识别目的。
If you want to call a process or file, you can use the library subprocess . 如果要调用进程或文件,则可以使用库子进程。
Depending on the task you are performing, such as parellelizing a bunch of processes, you could also use gnu parallel or some other method through bash
in order to accomplish your desired behavior. 根据您正在执行的任务,例如将一堆进程并行化,您还可以通过bash
使用gnu parallel或其他方法来完成所需的行为。
Read Python » 2.7.13 Documentation using-the-subprocess-module 阅读Python»2.7.13文档, 使用-subprocess模块
Choose from subprocess
a NOWAIT Method, edit your Questions code accordingly. 从subprocess
选择一种NOWAIT方法,相应地编辑您的问题代码。
import subprocess
def openCmd(name):
return subprocess.?
if __name__ == '__main__':
while True:
key = raw_input('input 1=open, 0=terminate, q=quit:')
print(key)
if key == '1':
A_p = openCmd(('a'))
B_p = openCmd(('b'))
if key == '0':
A_p.terminate()
B_p.terminate()
if key == 'q':
break
Tested with Python:2.7.9 使用Python测试:2.7.9
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