synchronized
vs ReentrantLock
in Java¶
Feature | synchronized |
ReentrantLock |
---|---|---|
Basic Concept | Uses intrinsic lock (monitor) on objects. | Uses an explicit lock from java.util.concurrent.locks . |
Lock Acquisition | Acquired implicitly when entering a synchronized block or method. | Acquired explicitly via lock() method. |
Release of Lock | Automatically released when the thread exits the synchronized block or method. | Must be explicitly released via unlock() . |
Reentrancy | Supports reentrancy (same thread can acquire the same lock multiple times). | Supports reentrancy just like synchronized. |
Fairness | Unfair by default (no control over thread access order). | Can be fair or unfair (configurable with ReentrantLock(true) ). |
Interruptibility | Cannot respond to interrupts while waiting for the lock. | Supports interruptible locking via lockInterruptibly() . |
Try Locking | Not supported. A thread will block indefinitely if the lock is not available. | Supports tryLock() to attempt locking without blocking or with timeout. |
Condition Variables | Uses wait() / notify() / notifyAll() methods on the intrinsic lock. |
Supports multiple Condition objects for finer-grained wait/notify control. |
Timeout Support | Not supported. If the lock is held by another thread, it will wait indefinitely. | Supports timeout locking with tryLock(long timeout, TimeUnit unit) . |
Performance Overhead | Low for simple scenarios with little contention. | Higher overhead but provides greater control over locking behavior. |
Fair Locking Option | Not supported (always unfair). | Fair locking can be enabled with ReentrantLock(true) . |
Use in Non-blocking Operations | Not possible. | Possible with tryLock() (non-blocking). |
Flexibility and Control | Limited to synchronized methods or blocks. | Greater flexibility: lock multiple sections, lock only part of a method, or use multiple conditions. |
Suitability for Deadlock Avoidance | Requires external logic to prevent deadlocks (acquire locks in the same order). | Easier to prevent deadlocks using tryLock() and timeouts. |
Memory Usage | No additional memory overhead. Uses the object’s monitor. | Requires additional memory for lock objects and lock metadata. |
Readability and Simplicity | Easier to read and maintain (especially for small, simple use cases). | More complex code with explicit lock management. |
Error Handling | No need to manage lock release in a finally block. The lock is automatically released. |
Requires explicit unlock() in finally blocks to avoid deadlocks or memory leaks. |
Thread Starvation | Prone to thread starvation in high contention scenarios. | Can prevent starvation using fair lock mode. |
Recommended Use Case | Best for simple synchronization needs where you don’t need advanced control. | Recommended for complex concurrency scenarios needing fine-grained locking, fairness, tryLock, or interruptibility. |
When to Use synchronized
vs ReentrantLock
¶
Use synchronized |
Use ReentrantLock |
---|---|
When you need simple, block-level or method-level synchronization. | When you need advanced control over locking behavior (e.g., tryLock, fairness, or interruptibility). |
When you want automatic lock release (less error-prone). | When you need multiple locks or condition variables. |
When performance matters in low-contention scenarios (lower overhead). | When dealing with high contention and you need fair scheduling to prevent starvation. |
When you don't need non-blocking operations or timeouts. | When you want non-blocking operations using tryLock() or timeout-based locking. |
When the code needs to be simple and easy to read. | When code complexity is acceptable for greater flexibility. |
Summary¶
Both synchronized
and ReentrantLock
have their own strengths and use cases. Use synchronized
for simpler, lower-level concurrency needs, and ReentrantLock
when you need more control, fairness, or advanced features like non-blocking locking and condition variables.
In general:
- synchronized
is easier to use and less error-prone.
- ReentrantLock
is more powerful and flexible, but with more overhead and complexity.