- Java 并发教程
- 并发 - 首页
- 并发 - 概述
- 并发 - 环境设置
- 并发 - 操作概述
- 线程间通信
- 并发 - 同步
- 并发 - 死锁
- 实用程序类示例
- 并发 - ThreadLocal
- 并发 - ThreadLocalRandom
- 锁定示例
- 并发 - 锁定
- 并发 - 读写锁定
- 并发 - 条件
- 原子变量示例
- 并发 - AtomicInteger
- 并发 - AtomicLong
- 并发 - AtomicBoolean
- 并发 - AtomicReference
- 并发 - AtomicIntegerArray
- 并发 - AtomicLongArray
- 并发 - AtomicReferenceArray
- 执行程序示例
- 并发 - 执行程序
- 并发 - 执行程序服务
- ScheduledExecutorService
- 线程池示例
- 并发 - newFixedThreadPool
- 并发 - newCachedThreadPool
- newScheduledThreadPool
- newSingleThreadExecutor
- 并发 - ThreadPoolExecutor
- ScheduledThreadPoolExecutor
- 高级示例
- 并发 - Future 和 Callable
- 并发 - Fork-Join 框架
- 并发集合
- 并发 - BlockingQueue
- 并发 - ConcurrentMap
- ConcurrentNavigableMap
- 并发 - 有用资源
- 并发 - 快速指南
- 并发 - 有用资源
- 并发 - 讨论
newCachedThreadPool 方法
通过调用 Executors 类中的静态 newCachedThreadPool() 方法,可以获得缓存的线程池。
语法
ExecutorService executor = Executors.newCachedThreadPool();
其中
newCachedThreadPool 方法创建一个具有可扩展线程池的执行程序。
此类执行程序适用于启动大量生存期较短的任务的应用。
示例
以下 TestThread 程序展示了在新线程环境中 newCachedThreadPool 方法的使用。
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
public class TestThread {
public static void main(final String[] arguments) throws InterruptedException {
ExecutorService executor = Executors.newCachedThreadPool();
// Cast the object to its class type
ThreadPoolExecutor pool = (ThreadPoolExecutor) executor;
//Stats before tasks execution
System.out.println("Largest executions: "
+ pool.getLargestPoolSize());
System.out.println("Maximum allowed threads: "
+ pool.getMaximumPoolSize());
System.out.println("Current threads in pool: "
+ pool.getPoolSize());
System.out.println("Currently executing threads: "
+ pool.getActiveCount());
System.out.println("Total number of threads(ever scheduled): "
+ pool.getTaskCount());
executor.submit(new Task());
executor.submit(new Task());
//Stats after tasks execution
System.out.println("Core threads: " + pool.getCorePoolSize());
System.out.println("Largest executions: "
+ pool.getLargestPoolSize());
System.out.println("Maximum allowed threads: "
+ pool.getMaximumPoolSize());
System.out.println("Current threads in pool: "
+ pool.getPoolSize());
System.out.println("Currently executing threads: "
+ pool.getActiveCount());
System.out.println("Total number of threads(ever scheduled): "
+ pool.getTaskCount());
executor.shutdown();
}
static class Task implements Runnable {
public void run() {
try {
Long duration = (long) (Math.random() * 5);
System.out.println("Running Task! Thread Name: " +
Thread.currentThread().getName());
TimeUnit.SECONDS.sleep(duration);
System.out.println("Task Completed! Thread Name: " +
Thread.currentThread().getName());
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}
这将生成以下结果。
输出
Largest executions: 0 Maximum allowed threads: 2147483647 Current threads in pool: 0 Currently executing threads: 0 Total number of threads(ever scheduled): 0 Core threads: 0 Largest executions: 2 Maximum allowed threads: 2147483647 Current threads in pool: 2 Currently executing threads: 2 Total number of threads(ever scheduled): 2 Running Task! Thread Name: pool-1-thread-1 Running Task! Thread Name: pool-1-thread-2 Task Completed! Thread Name: pool-1-thread-2 Task Completed! Thread Name: pool-1-thread-1
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