Javax Enterprise Concurrent API framework technical principles analysis

Javax Enterprise Concurrent API framework technical principles analysis Javax Enterprise Concurrent API (that is, Java Enterprise Paimori API) is part of Java EE, providing an enterprise -level application with a powerful concurrent processing framework.It provides developers with a set of advanced tools and components for managing concurrent and parallelism to ensure that multiple threads work safely and effectively.This article will introduce the technical principles of the Javax Enterprise Concurrent API framework and some Java code examples. 1. Concurrency Manager: Javax Enterprise Concurrent API framework manages concurrent operations through Concurrency Manager.This manager is responsible for coordinating and controlling the execution of the mission.It provides a series of methods, such as Submit (), Execute (), etc., which are used to submit tasks to thread pool execution. Example code: import javax.enterprise.concurrent.ManagedExecutorService; import javax.enterprise.concurrent.ManagedThreadFactory; import javax.enterprise.concurrent.ContextService; // Create a Concurrency Manager ManagedExecutorService executorService = ManagedExecutorService.builder() .maxAsync(10) .build(); // Submit a task to the thread pool execution executorService.execute(() -> { // Code logic for executing tasks }); // Close the thread pool executorService.shutdown(); 2. Concurrent Task: Javax Enterprise Concurrent API framework supports definition and concurrent tasks.Developers can create concurrent tasks by achieving the implementation of `java.util.concurrent.calLABLE` or` java.lang.runnable` interface. Example code: import java.util.concurrent.Callable; public class MyTask implements Callable<String> { @Override public String call() throws Exception { // Code logic for executing tasks return "Task completed"; } } // Submit a concurrent task to execute the thread pool executorService.submit(new MyTask()); 3. Context service: Javax Enterprise Concurrent API framework provides context service functions, which allows sharing context data between concurrent tasks.Developers can use the `javax.nterprise.concurrent.contextService` to save the context data in the context storage area and pass these data between concurrent tasks. Example code: import javax.enterprise.concurrent.ContextService; // Get the context service ContextService contextService = ContextService.getInstance(); // Set the context data contextService.putData("key", "value"); // Get the context data in the concurrent task executorService.execute(() -> { String value = contextService.getData("key"); // Use the code logic of the code of the context data to perform tasks }); 4. Coordinator: Javax Enterprise Concurrent API framework also provides collaborators to synchronize multiple concurrent tasks.Developers can use the `javax.enterprise.concurrent.coordinator` to combine multiple concurrent tasks into a logic group and control their execution order and collaboration method. Example code: import javax.enterprise.concurrent.Coordinator; // Get the collaborator Coordinator coordinator = Coordinator.getInstance(); // Create a concurrent task Runnable task1 = () -> { // The code logic of task 1 }; Runnable task2 = () -> { // The code logic of task 2 }; // Register a concurrent task to the collaborator coordinator.register(task1); coordinator.register(task2); // Execute concurrent tasks executorService.execute(() -> { // Perform the tasks managed by the collaborator here coordinator.waitForTasks(); }); // Close the collaborator coordinator.shutdown(); Summarize: The Javax Enterprise Concurrent API framework is a powerful and flexible concurrency processing framework, providing high -end concurrent management tools and components for Java enterprise applications.Developers can use this framework to achieve concurrent operations more effectively, and ensure collaboration and synchronization between multiple threads.Through the use of concurrent managers, concurrent tasks, context services and collaborators, developers can better control the order and synergy of concurrent tasks.