关于python:python-进程池的两种不同实现

形式一：应用 multiprocessing 库

from loguru import loggerimport multiprocessingdef start_request(message: str) -> int:    try:        logger.debug(message)    except Exception as error:        logger.exception(error)if __name__ == "__main__":    pool = multiprocessing.Pool(processes=2)    for message in ['haha', 'hehe']:        pool.apply_async(start_request, (message,))    pool.close()    pool.join()

形式二：应用 concurrent.futures 的 ProcessPoolExecutor

from loguru import loggerimport multiprocessingfrom concurrent.futures import ProcessPoolExecutordef start_request(message: str) -> int:    try:        logger.debug(message)    except Exception as error:        logger.exception(error)if __name__ == "__main__":    pool = ProcessPoolExecutor(        max_workers=2    )    for message in ['haha', 'hehe']:        pool.submit(start_request, message)    pool.shutdown(wait=True)