我有下面的代碼子程序的代碼確保原子
#!/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)
,我想用多個語句這樣的替換print "(%s, %s, %s)" % (pp, p, result)
:
print "ppid: %s" % ppid
print "pid: %s" % pid
print "result: %s" % result
print "#####################"
爲此,我選擇信號燈,以確保此輸出將是原子的。這是修改後的版本:
#!/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)
但似乎這些操作不是原子(PID 10269和10270 PID),和信號燈沒有幫助,這裏是輸出:
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)]
爲什麼?
謝謝你的回覆。 「我認爲鎖定獨立程序僅打印調試輸出是沒有意義的。」我同意,這僅僅是一個例子,作爲初學者,我想知道所選擇的方法對於更復雜的關鍵部分是否正確。使用鎖(或者可能是信號量)可能是最好的方法。有一件事是用戶應該知道的是使用鎖作爲全局變量,這裏的更多信息http://stackoverflow.com/questions/28267972/python-multiprocessing-locks –