Difference between Lock and Rlock objects-Python Last Updated : 06 May, 2025 Summarize Comments Improve Suggest changes Share Like Article Like Report When working with multithreading in Python, Lock and RLock are two commonly used synchronization mechanisms to ensure mutual exclusion. Both are part of the threading module but behave differently. The key difference is that Lock can only be acquired once by a thread, whereas RLock allows the same thread to acquire the lock multiple times. Example: Python import threading lock = threading.Lock() # Lock lock.acquire() print("Lock acquired") lock.release() rlock = threading.RLock() # RLock rlock.acquire() print("RLock acquired once") rlock.acquire() print("RLock acquired twice") rlock.release() rlock.release() OutputLock acquired RLock acquired once RLock acquired twice Explanation:threading.Lock() initializes the lock, lock.acquire() acquires it and lock.release() releases it for other threads.threading.RLock() initializes an RLock, rlock.acquire() acquires it twice and rlock.release() releases it twice.What is a Lock ?A Lock is a synchronization tool provided by the threading module in Python. It is used to ensure that only one thread can access a shared resource (such as a file or variable) at a time. Let's understand its key features:Mutual Exclusion: Only one thread can hold the lock at a time.Blocking Behavior: Threads attempting to acquire a locked lock will wait until it's released.Not Reentrant: A thread cannot acquire the same lock twice without releasing it, leading to deadlock. Python import threading lock = threading.Lock() geek = 0 # global variable def fun(value): global geek with lock: geek += value fun(1) fun(2) print(geek) Output3 Explanation:threading.Lock() creates a lock to ensure only one thread can modify the shared resource geek at a time.fun(value) increments geek by the given value, using with lock to ensure mutual exclusion, so only one thread can update geek at a time.fun(1) increments geek by 1, releases the lock and geek becomes 1.fun(2) increments geek by 2, releases the lock and geek becomes 3.What is RLock(Reentrant Lock)?An RLock (Reentrant Lock) is a specialized type of lock in Python’s threading module that allows a thread to acquire the same lock multiple times without causing a deadlock. It is designed to solve the problem of reentrancy, where a thread may need to acquire a lock again while already holding it. Let's understand its key features:Reentrant: A thread can acquire the lock multiple times without blocking itself.Acquisition Counter: RLock tracks how many times it’s acquired by the same thread.Release Requirement: The thread must call release() the same number of times it called acquire() to fully release the lock. Python import threading geek = 0 rlock = threading.RLock() def fun(): global geek rlock.acquire() # First acquisition geek += 1 rlock.acquire() # Second acquisition geek += 2 rlock.release() # Release first rlock.release() # Release second thread = threading.Thread(target=fun) thread.start() thread.join() print(geek) Output3 Explanation:threading.RLock() allows the same thread to acquire the lock multiple times without deadlock.rlock.acquire() locks the resource, and geek is incremented by 1.The same thread acquires the lock again, incrementing geek by 2.rlock.release() is called twice to release the lock, ensuring proper resource management.Difference between Lock and RlockUnderstanding the difference between Lock and RLock is important for safe multithreading. These synchronization mechanisms ensure proper access to shared resources but behave differently in certain scenarios. Let's explore these differences through the following table:FeatureLock RLock (Reentrant Lock)Reacquire LockCannot be reacquired by the same thread.Can be reacquired multiple times by the same thread.Releasing LockCan be released by any thread.Can only be released by the acquiring thread.Ownership Owned by one thread at a time.Owned by the acquiring thread, multiple times.Execution Speed Faster execution. Slower due to tracking acquisition count. Comment More infoAdvertise with us Next Article Difference between Lock and Rlock objects-Python R riturajsaha Follow Improve Article Tags : Python Python-multithreading Practice Tags : python Similar Reads Python Tutorial - Learn Python Programming Language Python is one of the most popular programming languages. Itâs simple to use, packed with features and supported by a wide range of libraries and frameworks. Its clean syntax makes it beginner-friendly. 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