I have the following code, which has been simplified:
import concurrent.futures
pool = concurrent.futures.ThreadPoolExecutor(8)
def _exec(x):
return x + x
myfuturelist = pool.map(_exec,[x for x in range(5)])
# How do I wait for my futures to finish?
for result in myfuturelist:
# Is this how it's done?
print(result)
#... stuff that should happen only after myfuturelist is
#completely resolved.
# Documentation says pool.map is asynchronous
The documentation is weak regarding ThreadPoolExecutor.map. Help would be great.
Thanks!
The call to ThreadPoolExecutor.map does not block until all of its tasks are complete. Use wait to do this.
from concurrent.futures import wait, ALL_COMPLETED
...
futures = [pool.submit(fn, args) for args in arg_list]
wait(futures, timeout=whatever, return_when=ALL_COMPLETED) # ALL_COMPLETED is actually the default
do_other_stuff()
You could also call list(results) on the generator returned by pool.map to force the evaluation (which is what you're doing in your original example). If you're not actually using the values returned from the tasks, though, wait is the way to go.
It's true that Executor.map() will not wait for all futures to finish. Because it returns a lazy iterator like @MisterMiyagi said.
But we can accomplish this by using with:
import time
from concurrent.futures import ThreadPoolExecutor
def hello(i):
time.sleep(i)
print(i)
with ThreadPoolExecutor(max_workers=2) as executor:
executor.map(hello, [1, 2, 3])
print("finish")
# output
# 1
# 2
# 3
# finish
As you can see, finish is printed after 1,2,3. It works because Executor has a __exit__() method, code is
def __exit__(self, exc_type, exc_val, exc_tb):
self.shutdown(wait=True)
return False
the shutdown method of ThreadPoolExecutor is
def shutdown(self, wait=True, *, cancel_futures=False):
with self._shutdown_lock:
self._shutdown = True
if cancel_futures:
# Drain all work items from the queue, and then cancel their
# associated futures.
while True:
try:
work_item = self._work_queue.get_nowait()
except queue.Empty:
break
if work_item is not None:
work_item.future.cancel()
# Send a wake-up to prevent threads calling
# _work_queue.get(block=True) from permanently blocking.
self._work_queue.put(None)
if wait:
for t in self._threads:
t.join()
shutdown.__doc__ = _base.Executor.shutdown.__doc__
So by using with, we can get the ability to wait until all futures finish.
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