learning-python/processes/ex1.py at master · feixiao/learning-python

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import multiprocessing

import time

import logging

# 子进程执行的任务函数

# 配置日志，添加时间戳和进程ID

logging.basicConfig(level=logging.INFO,

format='%(asctime)s - Process:%(process)d - %(message)s')

def task_function(task_id):

# 这里可以编写具体的任务逻辑

time.sleep(1) # 模拟任务执行时间

result = f"Result for Task {task_id}"

logging.ino

return result

# 主进程函数，负责派发任务和整理结果

def main():

num_tasks = 5

tasks = []

# 创建进程池

pool = multiprocessing.Pool()

# 派发任务给子进程

for i in range(num_tasks):

result = pool.apply_async(task_function, args=(i,))

tasks.append(result)

# 等待所有子进程任务完成并获取结果

results = [task.get() for task in tasks]

# 整理结果按派发顺序输出

for i, result in enumerate(results):

logging.info(f"Task {i}: {result}")

# 关闭进程池

pool.close()

pool.join()

if __name__ == "__main__":

main()