Lock is used to protect shared resources and ensure thread safety; Latch is used to coordinate thread execution order and wait for events to complete. 1. Lock, such as ReentrantLock, controls resource access through lock() and unlock(), supports attempts to add locks, timeouts, etc., which is suitable for scenarios where high concurrency requires fine control; 2. Latch, such as CountDownLatch, implements thread waiting through countDown() and await(), which is suitable for scenarios where multiple thread tasks are started and waited for them to complete before continuing to execute; 3. When using Lock, you need to manually release the lock to avoid deadlocks, and when using Latch, you need to ensure that the counter is zeroed to prevent blockage. The two are designed for different purposes and are often used in combination to meet complex concurrency needs.
In Java concurrent programming, lock and latch are two very critical tools that coordinate execution order and resource access between multiple threads. Although they are all used to control thread behavior, there are obvious differences in uses and mechanisms. Simply put:

- Lock : It is mainly used to protect shared resources and prevent multiple threads from accessing simultaneously, causing data inconsistency.
- Latch : More like a signal mechanism, used to wait for an event to complete, such as asking a thread to wait for several other threads to complete before continuing to execute.
Let’s take a look at the common types, application scenarios and some precautions of these two from the perspective of actual use.
Basic usage and choice of Lock
In Java, java.util.concurrent.locks.Lock
is an interface, and the most commonly used implementation class is ReentrantLock
. It is more flexible than the built-in synchronized
, and supports advanced features such as trying to acquire locks, timeouts, and interrupts.

Common ways to use:
- Use
lock()
andunlock()
to explicitly lock and release - Recommended to use with
try-finally
to ensure that the lock can be released - You can try to obtain locks through
tryLock()
to avoid deadlocks
Lock lock = new ReentrantLock(); lock.lock(); try { // Access shared resources} finally { lock.unlock(); }
Applicable scenarios:
- Multi-threading frequently modify shared variables
- Need to try to add locks or set timeout
- Scenarios with certain performance requirements in high concurrency environments
Notes:
- The lock must be released manually, otherwise it will easily lead to deadlock.
- Do not use multiple locks in nesting, otherwise it may cause deadlock problems
- Prioritize whether you really need a stronger feature than
synchronized
Typical usage scenarios for CountDownLatch
CountDownLatch
is a synchronous auxiliary class that allows one or more threads to wait for other threads to complete operations. Its core mechanism is a counter, and when the counter is reduced to 0, the waiting thread will be awakened.
Common ways to use:
- Set the counter size during initialization
- Call
countDown()
in task thread - Wait for the thread to call
await()
until the counter reaches zero
CountDownLatch latch = new CountDownLatch(3); for (int i = 0; i < 3; i ) { new Thread(() -> { // Execute the task latch.countDown(); }).start(); } latch.await(); // The main thread waits for all child threads to complete
Applicable scenarios:
- Start multiple threads and wait until all of them are completed before continuing to execute
- The initialization phase depends on multiple services to complete loading before continuing to start the main process.
- Unified trigger points when testing concurrent behavior
Notes:
- Once the counter is zeroed, it cannot be reset. If you need to reuse, you can consider
CyclicBarrier
- Don't forget to call
countDown()
, otherwise it will keep blocking - Suitable for one-time events, not suitable for recycled use scenarios
Summary of the difference between Lock and Latch
Although they can all affect the behavior of threads, their design purposes are different:

- Lock controls "access" to protect resources and ensure thread safety.
- Latch controls "time" to coordinate the execution order between threads.
To give an example to understand:
- You have a shared bank account and multiple people withdraw money at the same time → Use Lock to ensure the balance is correct
- You have a game where the referee has to wait for all athletes to be ready before starting the order → Use Latch to wait for all threads to complete the preparation action
These two tools are often used together. For example, during the concurrency initialization stage, you can use Latch to wait for all preconditions to meet before using Lock to protect subsequent operations.
Basically that's it. Mastering the usage scenarios of Lock and Latch can make you more comfortable when dealing with concurrent problems.
The above is the detailed content of Understanding Java Concurrency Locks and Latches. For more information, please follow other related articles on the PHP Chinese website!

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