manager.dict ()允许跨进程共享字典并执行线程安全操作。在我的情况下,每个协调器进程都创建共享字典,其中包含m
元素和n
工作进程读取和写入单个字典键。
字典是否managers.dict()
有一个m
锁,每个锁一个锁?
当工人不必相互交流时,除了共享字典之外,还有其他方法可以m
向工人共享元素吗?n
相关的 python-manager-dict-is-very-slow-compared-to-regular-dict
manager.dict ()允许跨进程共享字典并执行线程安全操作。在我的情况下,每个协调器进程都创建共享字典,其中包含m
元素和n
工作进程读取和写入单个字典键。
字典是否managers.dict()
有一个m
锁,每个锁一个锁?
当工人不必相互交流时,除了共享字典之外,还有其他方法可以m
向工人共享元素吗?n
相关的 python-manager-dict-is-very-slow-compared-to-regular-dict
经过一些尝试,我可以说每个经理的字典只有一个锁。这是证明它的代码:
import time
import multiprocessing as mp
def process_f(key, shared_dict):
values = [i for i in range(64 * 1024 * 1024)]
print "Writing {}...".format(key)
a = time.time()
shared_dict[key] = values
b = time.time()
print "released {} in {}ms".format(key, (b-a)*1000)
def main():
process_manager = mp.Manager()
n = 5
keys = [i for i in range(n)]
shared_dict = process_manager.dict({i: i * i for i in keys})
pool = mp.Pool(processes=n)
for i in range(n):
pool.apply_async(process_f, (keys[i], shared_dict))
time.sleep(20)
if __name__ == '__main__':
main()
输出:
Writing 4...
Writing 3...
Writing 1...
Writing 2...
Writing 0...
released 4 in 3542.7968502ms
released 0 in 4416.22900963ms
released 1 in 6247.48706818ms
released 2 in 7926.97191238ms
released 3 in 9973.71196747ms
Process finished with exit code 0
写作时间的增加表明正在发生的等待。