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Java线程池的几种实现方法和区别介绍实例详解

下面通过实例代码为大家介绍Java线程池的几种实现方法和区别:

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import java.text.DateFormat;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Random;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
public class TestThreadPool {
 // -newFixedThreadPool与cacheThreadPool差不多,也是能reuse就用,但不能随时建新的线程
 // -其独特之处:任意时间点,最多只能有固定数目的活动线程存在,此时如果有新的线程要建立,只能放在另外的队列中等待,直到当前的线程中某个线程终止直接被移出池子
 // -和cacheThreadPool不同,FixedThreadPool没有IDLE机制(可能也有,但既然文档没提,肯定非常长,类似依赖上层的TCP或UDP
 // IDLE机制之类的),所以FixedThreadPool多数针对一些很稳定很固定的正规并发线程,多用于服务器
 // -从方法的源代码看,cache池和fixed 池调用的是同一个底层池,只不过参数不同:
 // fixed池线程数固定,并且是0秒IDLE(无IDLE)
 // cache池线程数支持0-Integer.MAX_VALUE(显然完全没考虑主机的资源承受能力),60秒IDLE
 private static ExecutorService fixedService = Executors.newFixedThreadPool(6);
 // -缓存型池子,先查看池中有没有以前建立的线程,如果有,就reuse.如果没有,就建一个新的线程加入池中
 // -缓存型池子通常用于执行一些生存期很短的异步型任务
 // 因此在一些面向连接的daemon型SERVER中用得不多。
 // -能reuse的线程,必须是timeout IDLE内的池中线程,缺省timeout是60s,超过这个IDLE时长,线程实例将被终止及移出池。
 // 注意,放入CachedThreadPool的线程不必担心其结束,超过TIMEOUT不活动,其会自动被终止。
 private static ExecutorService cacheService = Executors.newCachedThreadPool();
 // -单例线程,任意时间池中只能有一个线程
 // -用的是和cache池和fixed池相同的底层池,但线程数目是1-1,0秒IDLE(无IDLE)
 private static ExecutorService singleService = Executors.newSingleThreadExecutor();
 // -调度型线程池
 // -这个池子里的线程可以按schedule依次delay执行,或周期执行
 private static ExecutorService scheduledService = Executors.newScheduledThreadPool(10);
 public static void main(String[] args) {
 DateFormat format = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
 List customerList = new ArrayList();
 System.out.println(format.format(new Date()));
 testFixedThreadPool(fixedService, customerList);
 System.out.println("--------------------------");
 testFixedThreadPool(fixedService, customerList);
 fixedService.shutdown();
 System.out.println(fixedService.isShutdown());
 System.out.println("----------------------------------------------------");
 testCacheThreadPool(cacheService, customerList);
 System.out.println("----------------------------------------------------");
 testCacheThreadPool(cacheService, customerList);
 cacheService.shutdownNow();
 System.out.println("----------------------------------------------------");
 testSingleServiceThreadPool(singleService, customerList);
 testSingleServiceThreadPool(singleService, customerList);
 singleService.shutdown();
 System.out.println("----------------------------------------------------");
 testScheduledServiceThreadPool(scheduledService, customerList);
 testScheduledServiceThreadPool(scheduledService, customerList);
 scheduledService.shutdown();
 } 
 public static void testScheduledServiceThreadPool(ExecutorService service, List customerList) {
 List> listCallable = new ArrayList>();
 for (int i = 0; i < 10; i++) {
  Callable callable = new Callable() {
  @Override
  public Integer call() throws Exception {
   return new Random().nextInt(10);
  }
  };
  listCallable.add(callable);
 }
 try {
  List> listFuture = service.invokeAll(listCallable);
  for (Future future : listFuture) {
  Integer id = future.get();
  customerList.add(id);
  }
 } catch (Exception e) {
  e.printStackTrace();
 }
 System.out.println(customerList.toString());
 }
 public static void testSingleServiceThreadPool(ExecutorService service, List customerList) {
 List>> listCallable = new ArrayList>>();
 for (int i = 0; i < 10; i++) {
  Callable> callable = new Callable>() {
  @Override
  public List call() throws Exception {
   List list = getList(new Random().nextInt(10));
   boolean isStop = false;
   while (list.size() > 0 && !isStop) {
   System.out.println(Thread.currentThread().getId() + " -- sleep:1000");
   isStop = true;
   }
   return list;
  }
  };
  listCallable.add(callable);
 }
 try {
  List>> listFuture = service.invokeAll(listCallable);
  for (Future> future : listFuture) {
  List list = future.get();
  customerList.addAll(list);
  }
 } catch (Exception e) {
  e.printStackTrace();
 }
 System.out.println(customerList.toString());
 }
 public static void testCacheThreadPool(ExecutorService service, List customerList) {
 List>> listCallable = new ArrayList>>();
 for (int i = 0; i < 10; i++) {
  Callable> callable = new Callable>() {
  @Override
  public List call() throws Exception {
   List list = getList(new Random().nextInt(10));
   boolean isStop = false;
   while (list.size() > 0 && !isStop) {
   System.out.println(Thread.currentThread().getId() + " -- sleep:1000");
   isStop = true;
   }
   return list;
  }
  };
  listCallable.add(callable);
 }
 try {
  List>> listFuture = service.invokeAll(listCallable);
  for (Future> future : listFuture) {
  List list = future.get();
  customerList.addAll(list);
  }
 } catch (Exception e) {
  e.printStackTrace();
 }
 System.out.println(customerList.toString());
 }
 public static void testFixedThreadPool(ExecutorService service, List customerList) {
 List>> listCallable = new ArrayList>>();
 for (int i = 0; i < 10; i++) {
  Callable> callable = new Callable>() {
  @Override
  public List call() throws Exception {
   List list = getList(new Random().nextInt(10));
   boolean isStop = false;
   while (list.size() > 0 && !isStop) {
   System.out.println(Thread.currentThread().getId() + " -- sleep:1000");
   isStop = true;
   }
   return list;
  }
  };
  listCallable.add(callable);
 }
 try {
  List>> listFuture = service.invokeAll(listCallable);
  for (Future> future : listFuture) {
  List list = future.get();
  customerList.addAll(list);
  }
 } catch (Exception e) {
  e.printStackTrace();
 }
 System.out.println(customerList.toString());
 }
 public static List getList(int x) {
 List list = new ArrayList();
 list.add(x);
 list.add(x * x);
 return list;
 }
}

使用:LinkedBlockingQueue实现线程池讲解

//例如:corePoolSize=3,maximumPoolSize=6,LinkedBlockingQueue(10)
 
//RejectedExecutionHandler默认处理方式是:ThreadPoolExecutor.AbortPolicy
 
//ThreadPoolExecutor executorService = new ThreadPoolExecutor(corePoolSize, maximumPoolSize, 1L, TimeUnit.SECONDS, new LinkedBlockingQueue(10));
 
//1.如果线程池中(也就是调用executorService.execute)运行的线程未达到LinkedBlockingQueue.init(10)的话,当前执行的线程数是:corePoolSize(3) 
 
//2.如果超过了LinkedBlockingQueue.init(10)并且超过的数>=init(10)+corePoolSize(3)的话,并且小于init(10)+maximumPoolSize. 当前启动的线程数是:(当前线程数-init(10))
 
//3.如果调用的线程数超过了init(10)+maximumPoolSize 则根据RejectedExecutionHandler的规则处理。

关于:RejectedExecutionHandler几种默认实现讲解

//默认使用:ThreadPoolExecutor.AbortPolicy,处理程序遭到拒绝将抛出运行时RejectedExecutionException。
      RejectedExecutionHandler policy=new ThreadPoolExecutor.AbortPolicy();
//     //在 ThreadPoolExecutor.CallerRunsPolicy 中,线程调用运行该任务的execute本身。此策略提供简单的反馈控制机制,能够减缓新任务的提交速度。
//     policy=new ThreadPoolExecutor.CallerRunsPolicy();
//     //在 ThreadPoolExecutor.DiscardPolicy 中,不能执行的任务将被删除。
//     policy=new ThreadPoolExecutor.DiscardPolicy();
//     //在 ThreadPoolExecutor.DiscardOldestPolicy 中,如果执行程序尚未关闭,则位于工作队列头部的任务将被删除,然后重试执行程序(如果再次失败,则重复此过程)。
//     policy=new ThreadPoolExecutor.DiscardOldestPolicy();

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