ValueError: Cannot close a process while it is still running. You should first call join() or terminate().
if __name__ == '__main__':
while True:
# process = multiprocessing.Process(target=run)
# process.start()
# process.join()
process = multiprocessing.Process(target=run_buchong)
process.daemon=True
process.start()
process.close()
process.join()
Traceback (most recent call last):
File "E:/BaiduSyncdisk/shellcompany/shell/shell/anjuke3/anjuke_def.py", line 678, in <module>
process.close()
File "C:\ProgramData\Anaconda3\lib\multiprocessing\process.py", line 181, in close
raise ValueError("Cannot close a process while it is still running. "
ValueError: Cannot close a process while it is still running. You should first call join() or terminate().
原因分析
当使用多进程执行任务时，如果在不正确地关闭进程之前尝试退出程序，则可能会收到 ValueError: Cannot close a process while it is still running. You should first call join() or terminate() 这样的错误消息。这是因为某个子进程仍在运行并且主进程需要等待其完成。
解决此错误的一种方法是在使用完进程之后调用 join() 或 terminate() 方法来显式关闭进程。这将使主进程等待直到子进程完成。
例如，假设我们有一个多进程程序，用于计算一组数的平均值：
from multiprocessing import Pool
def calculate_average(numbers):
with Pool(processes=2) as pool:
result = pool.map(sum, numbers)
avg = sum(result) / len(numbers)
return avg
if __name__ == '__main__':
numbers = [[1, 2, 3], [4, 5, 6]]
calculate_average(numbers)
在这个示例中，我们使用了一个 Pool 对象来并行执行 sum() 函数对每个列表的求和。如果在执行该程序时立即终止，那么将会抛出 ValueError。为了解决这个问题，我们可以在 Pool 对象上调用 close() 方法，然后在调用 join() 方法来等待所有子进程完成执行：
from multiprocessing import Pool
def calculate_average(numbers):
with Pool(processes=2) as pool:
result = pool.map(sum, numbers)
avg = sum(result) / len(numbers)
pool.close() # 关闭进程池
pool.join() # 等待所有子进程执行完毕
return avg
if __name__ == '__main__':
numbers = [[1, 2, 3], [4, 5, 6]]
calculate_average(numbers)
这个修改能够成功解决问题，在程序执行完成前显示等待所有子进程执行完毕并关闭。