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我有下面的代码子程序的代码确保原子

#!/bin/env python 
# http://stackoverflow.com/questions/32192938/order-of-subprocesses-execution-and-its-impact-on-operations-atomicity 

from multiprocessing import Process 
from multiprocessing import Queue 
import time 
import os 

# Define an output queue 
output = Queue() 

# define a example function 
def f(x, output): 

    time.sleep(.5) 
    ppid = os.getppid() # PPID 
    pid = os.getpid()  # PID 
    # very computing intensive operation 
    result = 10*x 
    print "(%s, %s, %s)" % (pp, p, result) 
    time.sleep(.5) 
    # store result as tuple 
    result = (ppid, pid, result) 
    output.put(result) 
    # return result 


def queue_size(queue): 
    size = int(queue.qsize()) 
    print size 

# Print parent pid 
print "Parent pid: %s" % os.getpid() 

# Setup a list of processes that we want to run 
processes = [Process(target=f, args=(x, output)) for x in range(1,11)] 

# Run processes 
for p in processes: 
    p.start() 

# Process has no close attribute 
# for p in processes: 
#  p.close() 

# Exit the completed processes 
for p in processes: 
    p.join() 


# Get process results from the output queue 
print "Order of result might be different from order of print" 
print "See: http://stackoverflow.com/questions/32192938/order-of-subprocesses-execution-and-its-impact-on-operations-atomicity" 
print "" 
results = [output.get() for p in processes] 
print(results) 

,我想用多个语句这样的替换print "(%s, %s, %s)" % (pp, p, result)

print "ppid: %s" % ppid 
print "pid: %s" % pid 
print "result: %s" % result 
print "#####################" 

为此,我选择信号灯,以确保此输出将是原子的。这是修改后的版本:

#!/bin/env python 
# http://stackoverflow.com/questions/32192938/order-of-subprocesses-execution-and-its-impact-on-operations-atomicity 

from multiprocessing import Process 
from multiprocessing import Queue 
import threading 
import time 
import os 

max_threads = 1 
semaphore = threading.BoundedSemaphore(max_threads) 

# Define an output queue 
output = Queue() 

# define a example function 
def f(x, output): 

    time.sleep(.5) 
    ppid = os.getppid() # PPID 
    pid = os.getpid()  # PID 
    # very computing intensive operation 
    result = 10*x 

    # print "(%s, %s, %s)" % (pp, p, result) 
    semaphore.acquire() 
    print "ppid: %s" % ppid 
    print "pid: %s" % pid 
    print "result: %s" % result 
    print "#####################" 
    semaphore.release() 

    time.sleep(.5) 
    # store result as tuple 
    result = (ppid, pid, result) 
    output.put(result) 
    # return result 


def queue_size(queue): 
    size = int(queue.qsize()) 
    print size 

# Print parent pid 
print "Parent pid: %s" % os.getpid() 

# Setup a list of processes that we want to run 
processes = [Process(target=f, args=(x, output)) for x in range(1,11)] 

# Run processes 
for p in processes: 
    p.start() 

# Process has no close attribute 
# for p in processes: 
#  p.close() 

# Exit the completed processes 
for p in processes: 
    p.join() 


# Get process results from the output queue 
print "Order of result might be different from order of print" 
print "See: http://stackoverflow.com/questions/32192938/order-of-subprocesses-execution-and-its-impact-on-operations-atomicity" 
print "" 
results = [output.get() for p in processes] 
print(results) 

但似乎这些操作不是原子(PID 10269和10270 PID),和信号灯没有帮助,这里是输出:

Parent pid: 10260 
ppid: 10260 
pid: 10264 
result: 40 
##################### 
ppid: 10260 
pid: 10263 
result: 30 
##################### 
ppid: 10260 
pid: 10265 
result: 50 
##################### 
ppid: 10260 
pid: 10262 
result: 20 
##################### 
ppid: 10260 
pid: 10267 
result: 70 
##################### 
ppid: 10260 
pid: 10268 
result: 80 
##################### 
ppid: 10260 
pid: 10261 
result: 10 
##################### 
ppid: 10260 
ppid: 10260 
pid: 10269 
pid: 10270 
result: 90 
result: 100 
##################### 
##################### 
ppid: 10260 
pid: 10266 
result: 60 
##################### 
Order of result might be different from order of print 
See: http://stackoverflow.com/questions/32192938/order-of-subprocesses-execution-and-its-impact-on-operations-atomicity 

[(10260, 10264, 40), (10260, 10263, 30), (10260, 10265, 50), (10260, 10267, 70), (10260, 10262, 20), (10260, 10268, 80), (10260, 10261, 10), (10260, 10270, 100), (10260, 10269, 90), (10260, 10266, 60)] 

为什么?

回答

2

您正在使用进程运行f,但您尝试使用线程信号进行同步。您在这里混合了不兼容的多任务模型。在程序中使用的进程在不同的内存空间中运行,并具有独立的程序计数器,这意味着无法像在单个程序中一样运行它们。线程在单个程序,共享内存中运行它们。

我的意思是,processes中的每个进程都将作为一个独立程序运行。您可以尝试使用multiprocessing.Lock,但我认为锁定独立程序仅打印调试输出是没有意义的。

相反,我建议你改变你的打印语句:

print("ppid: {}\n" 
     "pid: {}\n" 
     "result: \n" 
     "#####################".format(ppid, pid, result)) 

注意,你可以把分隔字符串和Python解释器可以自动加入他们的行列。还引入\n插入换行符。我也改为print()函数和格式(),不推荐使用%

使用此方法,混合输出的可能性较小,但仍可能发生。如果不够好,请使用multiprocessing.Lock而不是threading.Lock,不需要进一步修改代码。

+0

谢谢你的回复。 “我认为锁定独立程序仅打印调试输出是没有意义的。”我同意,这仅仅是一个例子,作为初学者,我想知道所选择的方法对于更复杂的关键部分是否正确。使用锁(或者可能是信号量)可能是最好的方法。有一件事是用户应该知道的是使用锁作为全局变量,这里的更多信息http://stackoverflow.com/questions/28267972/python-multiprocessing-locks –