线程池

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所谓线程池就是多个线程封装在一起操作,线程池对任务进行操作的时候,有几种运行操作型式,单线程,无限多,限定长度,对线程池操作的核心就类和方法定义在java.util.concurrent包中,其中有两个比较核心 的接口:

1.普通的执行线程池定义:Interface ExecutorService

2.调度线程池:java.util.concurrent.ScheduledExecutorService

创建一个线程池可以使用java.util.concurrent.Executors类

。创建无大小的线程池:public static ExecutorService newCachedThreadPool()

。创建固定大小的线程池:public static ExecutorService newFixedThreadPool(int nThreads)

。单线程池:public static ScheduledExecutorService newSingleThreadScheduledExecutor()

。穿件定时调度池:public static ScheduledExecutorService newScheduledThreadPool(int corePoolSize)


几种的实现demo

package com.wjx.sayHello;import java.util.concurrent.ExecutorService;import java.util.concurrent.Executors;import java.util.concurrent.ScheduledExecutorService;import java.util.concurrent.TimeUnit;public class TestDemo {public static void main(String[] args) throws InterruptedException{/* * ExecutorService newCachedThreadPool = Executors.newCachedThreadPool();for(int x=0;x<10;x++){//Thread.sleep(200);int temp=x;newCachedThreadPool.submit(()->{System.out.println(Thread.currentThread().getName()+"==="+temp);});}newCachedThreadPool.shutdown();*///ExecutorService newCachedThreadPool = Executors.newSingleThreadExecutor();//for(int x=0;x<10;x++){////Thread.sleep(200);//int temp=x;//newCachedThreadPool.submit(()->{//System.out.println(Thread.currentThread().getName()+"==="+temp);//});//}////newCachedThreadPool.shutdown();//ExecutorService newCachedThreadPool = Executors.newFixedThreadPool(4);//for(int x=0;x<10;x++){////Thread.sleep(200);//int temp=x;//newCachedThreadPool.submit(()->{//System.out.println(Thread.currentThread().getName()+"==="+temp);//});//}////newCachedThreadPool.shutdown();ScheduledExecutorService newCachedThreadPool = Executors.newScheduledThreadPool(1);for(int x=0;x<10;x++){//Thread.sleep(200);int temp=x;newCachedThreadPool.scheduleAtFixedRate(new Runnable(){@Overridepublic void run() {System.out.println(Thread.currentThread().getName()+"==="+temp);System.out.println("****************************************");}}, 3, 2, TimeUnit.SECONDS);}}}

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