Python多进程通信Queue、Pipe、Value、Array实例

1）Queue & JoinableQueue

queue用来在进程间传递消息，任何可以pickle-able的对象都可以在加入到queue。

multiprocessing.JoinableQueue 是 Queue的子类，增加了task_done()和join()方法。

task_done()用来告诉queue一个task完成。一般地在调用get()获得一个task，在task结束后调用task_done()来通知Queue当前task完成。

join() 阻塞直到queue中的所有的task都被处理（即task_done方法被调用）。

代码：

代码如下:

class Consumer(multiprocessing.Process):

def __init__(self, task_queue, result_queue):
multiprocessing.Process.__init__(self)
self.task_queue = task_queue
self.result_queue = result_queue

def run(self):
proc_name = self.name
while True:
next_task = self.task_queue.get()
if next_task is None:
# Poison pill means shutdown
print ('%s: Exiting' % proc_name)
self.task_queue.task_done()
break
print ('%s: %s' % (proc_name, next_task))
answer = next_task() # __call__()
self.task_queue.task_done()
self.result_queue.put(answer)
return

class Task(object):
def __init__(self, a, b):
self.a = a
self.b = b
def __call__(self):
time.sleep(0.1) # pretend to take some time to do the work
return '%s * %s = %s' % (self.a, self.b, self.a * self.b)
def __str__(self):
return '%s * %s' % (self.a, self.b)

if __name__ == '__main__':
# Establish communication queues
tasks = multiprocessing.JoinableQueue()
results = multiprocessing.Queue()

# Start consumers
num_consumers = multiprocessing.cpu_count()
print ('Creating %d consumers' % num_consumers)
consumers = [ Consumer(tasks, results)
for i in range(num_consumers) ]
for w in consumers:
w.start()

# Enqueue jobs
num_jobs = 10
for i in range(num_jobs):
tasks.put(Task(i, i))

# Add a poison pill for each consumer
for i in range(num_consumers):
tasks.put(None)

# Wait for all of the tasks to finish
tasks.join()

# Start printing results
while num_jobs:
result = results.get()
print ('Result:', result)
num_jobs -= 1

注意小技巧： 使用None来表示task处理完毕。

运行结果：

2）pipe

pipe()返回一对连接对象，代表了pipe的两端。每个对象都有send()和recv()方法。

代码：
代码如下:

def f(conn):
conn.send([42, None, 'hello'])
conn.close()

if __name__ == '__main__':
parent_conn, child_conn = Pipe()
p = Process(target=f, args=(child_conn,))
p.start()
p.join()
print(parent_conn.recv()) # prints "[42, None, 'hello']"

3）Value + Array

Value + Array 是python中共享内存 映射文件的方法，速度比较快。

代码如下:

def f(n, a):
n.value = n.value + 1
for i in range(len(a)):
a[i] = a[i] * 10

if __name__ == '__main__':
num = Value('i', 1)
arr = Array('i', range(10))

p = Process(target=f, args=(num, arr))
p.start()
p.join()

print(num.value)
print(arr[:])

p2 = Process(target=f, args=(num, arr))
p2.start()
p2.join()

print(num.value)
print(arr[:])

# the output is :
# 2
# [0, 10, 20, 30, 40, 50, 60, 70, 80, 90]
# 3
# [0, 100, 200, 300, 400, 500, 600, 700, 800, 900]