Java Concurrent Collections: The Gorgeous Dance of Synchronization

Java concurrent programming may be difficult for some beginners, but this does not mean that it is not important. In today's Internet era, Java concurrent programming has become a very important skill, especially in large distributed systems. Therefore, it is very necessary for Java developers to master concurrent programming. In this article, PHP editor Yuzai will introduce you to the relevant knowledge of Java concurrent programming in detail, and how to use Java concurrent programming to achieve gorgeous dance steps.

ConcurrencyCollectionProvides basic operations by implementing the ConcurrentMap or ConcurrentNavigableMap interface, which defines functions such as adding, deleting, and retrieving and methods such as iterating elements. Unlike ordinary collections, methods in concurrent collections are thread-safe, meaning they can be called from multiple threads simultaneously without worrying about data races or other concurrency issues. Lock mechanism

Concurrent collections internally use a mechanism called locks to achieve thread safety. A lock is a synchronization primitive that restricts access to a critical section, which is the block of code where shared data resides. Each concurrent collection maintains its own lock, and when a thread attempts to access a critical section, it must first acquire the lock. Once it acquires the lock, it has exclusive access to the critical section until it releases the lock.

Java provides several types of locks:

ReentrantLock

: Allows the same thread to acquire the same lock multiple times.

• ReadWriteLock (ReadWriteLock): Allows multiple threads to read shared data at the same time, but only one thread can write at a time.
• Atomic variable (AtomicInteger): Allows updating data values ​​atomically, ensuring that operations on shared variables are indivisible.
• Concurrent collection type

Java provides a wide range of concurrent collection types, covering a variety of different data structures :

ConcurrentHashMap

: A thread-safe hash map that uses read-write locks to control access to key-value pairs.

• ConcurrentLinkedQueue: A thread-safe queue that uses reentrant locks to control access to queue elements.
• ConcurrentSkipListSet: A thread-safe skip list collection that uses read-write locks to control access to elements.
• ConcurrentNavigableMap: A thread-safe navigable map that supports complex queries based on a variety of
sorting
• and filters. Best Practices

When working with concurrent collections, it is important to follow some best practices to ensure optimal performance and correctness:

Use appropriate locks

: Choosing the right lock type is critical for performance and concurrency.

• Minimize lock holding time: Shorten the time to acquire and release locks as much as possible to prevent thread starvation.
• Avoid deadlock: Ensure that threads acquire and release locks in the same order to avoid deadlock.
• Utilize concurrency features: Concurrent collections provide features for concurrent access to shared data. Make full use of these features to improve application efficiency.
• in conclusion

Concurrent collections are the basic tools in

multithreading

programming. They provide a thread-safe mechanism for accessing shared data. By using appropriate locking mechanisms and best practices, developers can write multi-threaded applications that are performant and free of concurrency issues.

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