Java concurrency patterns are essential for building efficient, scalable, and thread-safe applications. Below are some core patterns and their use cases:
1. Producer-Consumer Pattern 📦
This pattern decouples data production and consumption using queues.
- Use Case: Thread-safe data transfer between producers and consumers.
- Implementation: Use
BlockingQueue
(e.g.,LinkedBlockingQueue
) to manage synchronization. - Example:
BlockingQueue<String> queue = new LinkedBlockingQueue<>(); // Producer queue.put("data"); // Consumer String item = queue.take();
2. Thread Pool Pattern ⚙️
Reuses a fixed number of threads to execute tasks, reducing overhead.
- Benefits:
- Efficient resource management.
- Prevents thread explosion.
- Key Class:
ExecutorService
(e.g.,Executors.newFixedThreadPool(4)
). - Tip: Always shutdown the pool gracefully after use.
3. Singleton Pattern 🌟
Ensures a single instance of a class is shared across the application.
- Thread-Safe Variant:
public class Singleton { private static volatile Singleton instance; public static Singleton getInstance() { if (instance == null) { synchronized (Singleton.class) { if (instance == null) { instance = new Singleton(); } } } return instance; } }
4. Deadlock Avoidance ⚠️
Avoid situations where threads wait indefinitely for resources.
- Strategy: Use
ReentrantLock
with timeouts or prioritize resource acquisition. - Tool:
java.util.concurrent.locks.Lock
for fine-grained control.
5. Read-Writers Lock 📖
Allows concurrent reads while writing is exclusive.
- Use Case: High-read, low-write scenarios (e.g., configuration caching).
- Java Class:
ReentrantReadWriteLock
fromjava.util.concurrent.locks
.
For deeper insights into Java concurrency, explore our guide on Thread Safety Tips. 🚀
Note: All images are placeholders and may not reflect actual content.