Python RLock 자원 동시 접근 관리

Mutex와 유사하다고 생각하면 된다.

https://docs.python.org/ko/3/library/threading.html#rlock-objects

threading — 스레드 기반 병렬 처리 — Python 3.10.5 문서

RLock은 재귀 호출 시 문제를 고려한 lock이다.

RLock 미사용

import threading

number = 0

def multi_call_function(call_name : str):
    global number
    number += 1
    
    print(f"Call Name: {call_name}, Number: {number}")
    
    
def function_A():
    for i in range(3):
        multi_call_function("function_A")
    
def function_B():
    for i in range(3):
        multi_call_function("function_B")
    
thread_a = threading.Thread(target=function_A)
thread_b = threading.Thread(target=function_B)

thread_a.start()
thread_b.start()

thread_a.join()
thread_b.join()

RLock 사용

from threading import RLock
import threading

lock = RLock()
number = 0

def multi_call_function(call_name : str):
    global number
    with lock:
        number += 1
        
        print(f"Call Name: {call_name}, Number: {number}")
    
    
def function_A():
    for i in range(3):
        multi_call_function("function_A")
    
def function_B():
    for i in range(3):
        multi_call_function("function_B")
    
thread_a = threading.Thread(target=function_A)
thread_b = threading.Thread(target=function_B)

thread_a.start()
thread_b.start()

thread_a.join()
thread_b.join()