首先，你不应该使用Python2.7，它已经被弃用一段时间了。
您应该使用concurrent.futures标准库中的ProcessPoolExecutor，并调用激活cancel_futures标志的.shutdown()方法，以让执行器完成已启动的作业，但取消任何挂起的工作。
from concurrent.futures import ProcessPoolExecutor
parallel_jobs = 4 # The pool size
executor = ProcessPoolExecutor(parallel_jobs)
future_1 = executor.submit(work_1, argument_1)
...
future_n = executor.submit(work_n, argument_n)
...
# At some point when the time window ends and you need to stop jobs:
executor.shutdown(cancel_futures=True)
# Some futures such as future_n may have been cancelled here, you can check that:
if future_n.cancelled():
print("job n has been cancelled")
# Or you can try to get the result while checking for CancelledError:
try:
result_n = future_n.result()
except CancelledError:
print("job n hasn't finished in the given time window")
下面是一个取消的例子:
from concurrent.futures import ThreadPoolExecutor, as_completed, wait
from time import sleep
# The job to execute concurrently
def foo(i: int) -> str:
sleep(0.2)
print(i)
return f"{i}"
e = ThreadPoolExecutor(4)
# Jobs are scheduled concurrently, this call does not block
futures = [e.submit(foo, i) for i in range(100)]
# Shutdown during execution and cancel pending jobs
e.shutdown(cancel_futures=True)
# Gather completed results
results = [f.result() for f in futures if not f.cancelled()]
print(results)
如果您执行这段代码，您将看到100个计划的作业并没有全部完成，只有一些是由于执行器在中间关闭而完成的。