In -depth understanding of the concurrent control and synchronization of the Google Collect framework

In -depth understanding of the concurrent control and synchronization of the Google Collect framework introduce: Google Collection is an open source Java set framework, which provides a series of concurrent control and synchronization mechanisms, which aims to simplify multi -threaded programming.This article will explore the concurrent control and synchronization mechanisms in the Google Collect framework, as well as using the Java code example to explain. 1. Concurrent control 1. Important: During multi -threaded programming, the behavior of interviewing shared resources is required reasonably to avoid the problem of data competition and inconsistency.The concurrent control mechanism provided by the Google Collection framework can help developers can easily achieve thread security operations. 2. Parators: The Google Collect framework provides some parallel containers, such as ConcurrenThashmap and ConcurrentSkInklistMap. They implement the MAP interface of thread security, which can safely perform concurrent operations in the multi -threaded environment.For example: ConcurrentMap<String, Integer> map = new ConcurrentHashMap<>(); map.put("key", 1); map.get("key"); 3. Parallel collection: Similarly, the Google Collect framework also provides concurrent sets, such as ConcurrentLINKEDQUEUE and CopyonWriteArrayList. They realize thread security queue and list interfaces to support high -efficiency concurrent access.For example: ConcurrentQueue<Integer> queue = new ConcurrentLinkedQueue<>(); queue.offer(1); queue.poll(); 4. Piece tool class: In addition to concurrent containers and sets, the Google Collect framework also provides various concurrent tools, such as Countdownlatch, SEMAPHORE and CyclicBarrier to control the concurrent execution of threads.These tools can help developers manage concurrency.For example: CountDownLatch latch = new CountDownLatch(2); // After the two threads perform the task, follow the follow -up operation latch.await(); 2. Synchronous mechanism 1. Important: In the multi -threaded environment, the synchronization mechanism is used to ensure the integrity and consistency of shared resources.The Google Collect framework provides some synchronization mechanisms such as locks and atomic variables to achieve thread security operations. 2. Lock: The Google Collect framework provides several types of locks, such as ReentrantLock and ReadWritelock to control the exclusive access and concurrency access of shared resources.For example: Lock lock = new ReentrantLock(); lock.lock(); try { // Execute mutually exclusive operation } finally { lock.unlock(); } 3. Atomic variable class: The Google Collect framework also provides a series of atomic variables, such as AtomicInteger and AtomicReference to achieve thread security atomic operations.These classes use the underlying hardware -level instructions to ensure the atomicity of the operation.For example: AtomicInteger counter = new AtomicInteger(); counter.incrementAndGet(); in conclusion: The Google Collect framework provides a powerful and easy -to -use concurrent control and synchronization mechanism for multi -threaded programming.Through the use of parallel containers, complications, concurrent tools, locks, and atomic variables, developers can easily achieve thread security operations.Mastering these mechanisms will help reduce errors and problems in concurrent programming, and improve the reliability and performance of code. (This article provides a brief introduction and synchronization in the Google Collection framework, and the Java code example as a reference. Readers need to study and understand more features and uses of the Google Collect framework if they need to learn and understand the GOOGLE COLLECT framework.