Analyze the core concept of the Jakarta Concurrency framework in the Java library

Jakarta Concurrency is a framework in the Java class library, which provides a set of core concepts and tools for processing tasks and thread management in multi -threaded and concurrent programming.This article will introduce the core concept of the Jakarta Concurrency framework, as well as the relevant programming code and configuration when necessary. ### Jakarta Concurrency Introduction In modern application development, multi -threaded and concurrent processing has become an indispensable part.Java supports multi -threaded programming by providing thread, locks, conditions and other related native APIs.However, these native APIs may not be convenient and easy to use in some cases.As a result, the Jakarta Concurrency framework was derived. The Jakarta Concurrency framework is a library built on the Java core library, which provides easy -to -use and efficient concurrent programming tools.This framework focuses on the management of thread tasks, the use of concurrent data structure, and the support of asynchronous programming. ### Jakarta Concurrency's core concept 1. ** EXECUTOR (actuator) **: Executor is a core concept in the Jakarta Concurrent framework.It is an object that submits the task to the thread pool and then executes.Through Executor, you can better manage the life cycle and resources of the thread.Here are a sample code that uses Executor execution tasks: Executor executor = Executors.newFixedThreadPool(5); executor.execute(() -> { // Code executing task }); 2. ** Future (future) **: Future is another important concept of the Jakarta Concurrency framework.It represents the result of an asynchronous task.After submitting the task to Executor, you can use Future to get the results of the task.Here are a sample code that uses Future to obtain tasks: ExecutorService executorService = Executors.newSingleThreadExecutor(); Future<Integer> future = executorService.submit(() -> { // Code executing the task and return the result return 42; }); Integer result = future.get(); 3. ** Concurrent data structure (concurrent data structure) **: Jakarta Concurrency framework provides many concurrent data structures, such as ConcurrenThashmap, ConcurrentlinkDDEQUE, ConcurrentskiPlistMap, etc.These data structures are safe threaded and can be read and write in a multi -threaded environment.The following is an example code using ConcurrenThashMap: Map<String, Integer> map = new ConcurrentHashMap<>(); map.put("key", 42); 4. ** lock (lock) **: Lock is a tool for controlling multiple threads in the Jakarta Concurrency framework.Compared to the native Synchronized keyword, LOCK provides a more flexible and scalable locking mechanism.The following is an example code using lock: Lock lock = new ReentrantLock(); lock.lock(); try { // Execute the critical area code } finally { lock.unlock(); } ### Jakarta Concurrency's related configuration Jakarta Concurrency's framework itself does not require special configuration.It is an independent library that can be used directly into your project.However, when using executor and thread pool, it can be configured, such as the size of the thread pool, the choice of queue, etc. The following is a configuration example code using Executor and thread pool: ExecutorService executorService = Executors.newFixedThreadPool(10); // Number of tasks performed by actuator executorService.submit(() -> { // Code executing task }); // Turn off the actuator executorService.shutdown(); ### in conclusion Jakarta Concurrency framework is a powerful and flexible tool for processing multi -threaded and concurrent programming.Through the core concepts and tools provided, developers can better manage and control multi -threaded tasks, concurrent data structures, and asynchronous programming.For applications that require efficient concurrency processing, it is very important to master the core concept and usage of Jakarta Concurrency framework. I hope this article will help you understand the core concept of the Jakarta Concurrency framework, and how to perform corresponding programming code and related configuration.