1. 不能使用python自带的queue进行通信,不然无法接受到数据
from queue import Queue
def producer(queue):
queue.put("a")
time.sleep(2)
def consumer(queue):
time.sleep(2)
data = queue.get()
print(data)
if __name__ == "__main__":
queue = Queue(10)
my_producer = Process(target=producer, args=(queue,))
my_consumer = Process(target=consumer, args=(queue,))
my_producer.start()
my_consumer.start()
my_producer.join()
my_consumer.join()
2. 必须使用multiprocessing中的Queue
import time
from multiprocessing import Process, Queue, Pool, Manager, Pipe
def producer(queue):
queue.put("a")
time.sleep(2)
def consumer(queue):
time.sleep(2)
data = queue.get()
print(data)
if __name__ == "__main__":
queue = Queue(10)
my_producer = Process(target=producer, args=(queue,))
my_consumer = Process(target=consumer, args=(queue,))
my_producer.start()
my_consumer.start()
my_producer.join()
my_consumer.join()
3. 全局变量不适用于多进程编程,可以使用与多线程编程
def producer(a):
a += 100
time.sleep(2)
def consumer(a):
time.sleep(2)
print(a)
if __name__ == "__main__":
a = 1
my_producer = Process(target=producer, args=(a,))
my_consumer = Process(target=consumer, args=(a,))
my_producer.start()
my_consumer.start()
my_producer.join()
my_consumer.join()
4. multiprocessing中的queue不能用于pool进程池, pool中的进程间通信需要使用manager中的queue
def producer(queue):
queue.put("a")
time.sleep(2)
def consumer(queue):
time.sleep(2)
data = queue.get()
print(data)
if __name__ == "__main__":
queue = Manager().Queue(10)
pool = Pool(2)
pool.apply_async(producer, args=(queue,))
pool.apply_async(consumer, args=(queue,))
pool.close()
pool.join()
5. 通过pipe实现进程间通信,pipe的性能高于queue,因为queque中加了锁
def producer(pipe):
pipe.send("bobby")
def consumer(pipe):
print(pipe.recv())
if __name__ == "__main__":
recevie_pipe, send_pipe = Pipe()
#pipe只能适用于两个进程
my_producer= Process(target=producer, args=(send_pipe, ))
my_consumer = Process(target=consumer, args=(recevie_pipe,))
my_producer.start()
my_consumer.start()
my_producer.join()
my_consumer.join()
6. 多线程可以想用共享变量,但是必须使用Manager中的dict
def add_data(p_dict, key, value):
p_dict[key] = value
if __name__ == "__main__":
progress_dict = Manager().dict()
first_progress = Process(target=add_data, args=(progress_dict, "bobby1", 22))
second_progress = Process(target=add_data, args=(progress_dict, "bobby2", 23))
first_progress.start()
second_progress.start()
first_progress.join()
second_progress.join()
print(progress_dict)