concurrent.futures.ThreadPoolExecutor does not free memory when shutdown

Bug report

Memory allocated in threads is never freed when using a ThreadPoolExecutor. The expected behavior is that when the executor is shut down, all memory allocated in its threads should be freed. The below code demonstrates this leak in that the the memory usage before allocating memory in threads is significantly less than after.

from concurrent.futures import ThreadPoolExecutor, as_completed
import resource

def process_user(x):
    return bytearray(10000000) 

print('Before', resource.getrusage(resource.RUSAGE_SELF).ru_maxrss/1024, 'MB')

def leak_memory():
    with ThreadPoolExecutor(max_workers=20) as executor:
        futures = [executor.submit(process_user, i) for i in range(100)]
        for future in as_completed(futures):
            cur = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss/1024
            print('Step', cur)

leak_memory()

print('After', resource.getrusage(resource.RUSAGE_SELF).ru_maxrss/1024, 'MB')

Your environment

Python 3.9.x/3.10.x. Mac os and debian.

macOS または Debian 上の Python 3.9 または 3.10 で例を再現し、concurrent.futures.ThreadPoolExecutor のシャットダウンと resource.RUSAGE_SELF ru_maxrss の測定に焦点を当てます。シャットダウン後に報告された値が減少するはずかどうかを確認し、その後、関連する実装またはテストを特定して、シャットダウン後に期待されるメモリ動作を定義します。