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Experiment with threadpools #113

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Experiment with threadpools #113

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14 changes: 6 additions & 8 deletions nbclient/util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,8 @@
import asyncio
import sys
import inspect
import concurrent.futures

from typing import Callable, Awaitable, Any, Union


Expand All @@ -28,6 +30,7 @@ def check_patch_tornado() -> None:
tornado.concurrent.FUTURES = \
tornado.concurrent.FUTURES + (asyncio.Future, ) # type: ignore

pool = concurrent.futures.ThreadPoolExecutor()
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Any reason to use more than one thread? I think we should use max_workers=1.

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max_worker should be fine IMO.

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If you don't specify mar_workers, it will use unnecessary resources: "If max_workers is None or not given, it will default to the number of processors on the machine, multiplied by 5".
Since you never actually run concurrently, you don't need more than 1 thread.


def just_run(coro: Awaitable) -> Any:
"""Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
Expand All @@ -44,14 +47,9 @@ def just_run(coro: Awaitable) -> Any:
else:
had_running_loop = True
if had_running_loop:
# if there is a running loop, we patch using nest_asyncio
# to have reentrant event loops
check_ipython()
import nest_asyncio
nest_asyncio.apply()
check_patch_tornado()
return loop.run_until_complete(coro)

return pool.submit(asyncio.run, coro).result()
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We could have only this line in the function, so that we always run in a thread with its own event loop.

else:
return loop.run_until_complete(coro)

def run_sync(coro: Callable) -> Callable:
"""Runs a coroutine and blocks until it has executed.
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