Python多进程与单进程效率对比
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运行环境:Python3 in win10
先生成200个测试文件
# generate.py
i = 0
while i < 200:
o = open("test\" + str(i) + ".py", "w")
content = str(i)
o.write(content)
o.close()
i += 1
多进程拷贝文件
# multi-pool-copy.py
from multiprocessing import Pool, Manager
import time
import os
import shutil
import random
start = time.time()
def copyFile(file_name, old_folder_name, new_folder_name, q):
time.sleep(random.random())
shutil.copyfile(old_folder_name + '\' + file_name, new_folder_name + '\' + file_name,)
q.put(file_name) # put item into the queue
def main():
pool = Pool(5)
q = Manager().Queue()
old_folder_name = input("Please input the folder name you want to copy: ")
new_folder_name = old_folder_name + "-copy"
os.mkdir(new_folder_name)
file_name_list = os.listdir(old_folder_name)
for file in file_name_list:
pool.apply_async(copyFile, args=(file, old_folder_name, new_folder_name, q))
cnt = 0
allLength = len(file_name_list)
while cnt < allLength:
message = q.get()
cnt += 1
print("
Copying %s, Process Bar is:%d%%" % (message, (cnt / allLength) * 100), end="")
print("Copy Done!")
if __name__ == "__main__":
main()
end = time.time()
print("Time-consuming: %#.2fs" % (end-start))
在使用单进程拷贝文件之前,需要手动删除test-copy文件夹
# single-pool-copy.py
import time
import os
import shutil
import random
start = time.time()
def copyFile(file_name, old_folder_name, new_folder_name):
time.sleep(random.random())
shutil.copyfile(old_folder_name + '\' + file_name, new_folder_name + '\' + file_name, )
def main():
old_folder_name = input("Please input the folder name you want to copy: ")
new_folder_name = old_folder_name + "-copy"
os.mkdir(new_folder_name)
file_name_list = os.listdir(old_folder_name)
cnt = 0
allLength = len(file_name_list)
for file in file_name_list:
copyFile(file, old_folder_name, new_folder_name)
cnt += 1
print("
Copying %s, Process Bar is:%d%%" % (file, (cnt / allLength) * 100), end="")
print("Copy Done!")
if __name__ == "__main__":
main()
end = time.time()
print("Time-consuming: %#.2fs" % (end-start))
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