Python多进程与单进程效率对比

时间:2021-06-13 12:55:35

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("\rCopying %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("\rCopying %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))