Uri*_*Uri 5 python multithreading multiprocessing
我正在尝试根据已完成任务的结果提交更多任务:
with concurrent.futures.ThreadPoolExecutor() as executor:
future = executor.submit(my_task)
def callback(future):
for another_task in future.result():
future = executor.submit(another_task)
future.add_done_callback(callback)
future.add_done_callback(callback)
Run Code Online (Sandbox Code Playgroud)
但我得到:
运行时错误:关闭后无法安排新的期货
让执行者保持回调的最佳方法是什么?信号量?
理想情况下,如果ThreadPoolExecutor替换为ProcessPoolExecutor.
的callback是在一个单独的线程来执行。因此,当您的回调逻辑开始执行时,主循环很有可能让上下文管理器关闭Executor. 这就是为什么你观察RuntimeError.
最简单的解决方法是按顺序运行您的逻辑。
futures = []
with concurrent.futures.ThreadPoolExecutor() as pool:
futures.append(pool.submit(task))
while futures:
for future in concurrent.futures.as_completed(futures):
futures.remove(future)
for new_task in future.result():
futures.append(pool.submit(new_task))
Run Code Online (Sandbox Code Playgroud)
请注意,此代码可能会导致向Executor.
该解决方案保证在任何给定点都能最大化处理能力。使用起来sleep不是那么优雅,但这是我迄今为止最好的。
with concurrent.futures.ThreadPoolExecutor() as executor:
pending_tasks = 1
future = executor.submit(my_task)
def callback(future):
nonlocal pending_tasks
for another_task in future.result():
pending_tasks += 1
future = executor.submit(another_task)
future.add_done_callback(callback)
pending_tasks -= 1
future.add_done_callback(callback)
while pending_tasks:
time.sleep(10)
Run Code Online (Sandbox Code Playgroud)