1、序言html
当咱们须要使用线程的时候,咱们能够新建一个线程,而后显式调用线程的start()方法,这样实现起来很是简便,但在某些场景下存在缺陷:若是须要同时执行多个任务(即并发的线程数量不少),频繁地建立线程会下降系统的效率,由于建立和销毁线程均须要必定的时间。java
线程池可使线程获得复用,所谓线程复用就是线程在执行完一个任务后并不被销毁,该线程能够继续执行其余的任务。java.lang.concurrent包中的Executors类为咱们建立线程池提供了方便。网络
2、Executors的简单使用示例并发
此处咱们先来看一个简单的例子,以下:ide
package com.soft; import java.util.concurrent.ExecutionException; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; public class ExecutorsDemo { public static void main(String[] args) throws InterruptedException, ExecutionException { // ExecutorService executor = Executors.newSingleThreadExecutor(); // ExecutorService executor = Executors.newCachedThreadPool(); ExecutorService executor = Executors.newFixedThreadPool(5); Thread.sleep(5*1000);//方便监控工具能捕获到 for (int i = 0; i < 10; i++) { final int no = i; Runnable runnable = new Runnable() { public void run() { try { System.out.println("into" + no); Thread.sleep(1000L); System.out.println("end" + no); } catch (InterruptedException e) { e.printStackTrace(); } } }; executor.execute(runnable);//ExecutorService有一个execute()方法,这个方法的参数是Runnable类型,经过execute(Runnable)方法便可将一个任务添加到线程池,任务的执行方法是Runnable类型对象的run()方法。 }//End for executor.shutdown(); System.out.println("Thread Main End!"); } }
其运行结果以下:函数
into0 into3 Thread Main End! into4 into1 into2 end0 into5 end3 end1 end4 into8 into6 into7 end2 into9 end5 end7 end8 end6 end9
解说:这个例子应该很容易看懂,从运行结果来看,在任意某一时刻只有5个线程在执行,这是由于上述代码经过Executors.newFixedThreadPool(5)语句建立了一个固定长度的线程池(长度为5),一个结束以后另再一个才开始执行。工具
3、Executors提供的线程池源码分析
Executors是线程的工厂类,也能够说是一个线程池工具类,它调用其内部静态方法(如newFixedThreadPool()等)便可建立一个线程池,经过参数设置,Executors提供不一样的线程池机制。测试
4、简述线程池的属性ui
5、详解ThreadPoolExecutor
上文提到能够经过显式的ThreadPoolExecutor构造函数来构造特定形式的线程池,ThreadPoolExecutor是java.util.concurrent包之内部线程池的形式对外提供线程池管理、线程调度等服务,此处咱们来了解一下ThreadPoolExecutor
(1)通常使用方式:
ExecutorService exec = new ThreadPoolExecutor(8, 8, 0L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<Runnable>(100), new ThreadPoolExecutor.CallerRunsPolicy());
下文详解此示例涉及的一些内容
(2)构造函数的声明:
public ThreadPoolExecutor(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue, ThreadFactory threadFactory, RejectedExecutionHandler handler) { if (corePoolSize < 0 || maximumPoolSize <= 0 || maximumPoolSize < corePoolSize || keepAliveTime < 0) throw new IllegalArgumentException(); if (workQueue == null || threadFactory == null || handler == null) throw new NullPointerException(); this.corePoolSize = corePoolSize; this.maximumPoolSize = maximumPoolSize; this.workQueue = workQueue; this.keepAliveTime = unit.toNanos(keepAliveTime); this.threadFactory = threadFactory; this.handler = handler; }
(3)函数参数说明:
参数名 | 表明含义 |
corePoolSize | 线程池的基本大小(核心线程池大小) |
maximumPoolSize | 线程池的最大大小 |
keepAliveTime | 线程池中超过corePoolSize数目的空闲线程的最大存活时间 |
unit | keepAliveTime参数的时间单位 |
workQueue | 任务阻塞队列 |
threadFactory | 新建线程的工厂 |
handler | 当提交的任务数超过maxmumPoolSize与workQueue之和时,任务会交给RejectedExecutionHandler来处理 |
进一步解说:
A、当提交新任务时,若线程池大小小于corePoolSize,将建立一个新的线程来执行任务,即便此时线程池中存在空闲线程;
B、当提交新任务时,若线程池达到corePoolSize大小,新提交的任务将被放入workQueue中,等待线程池调度执行;
C、当提交新任务时,若workQueue已满,且maximumPoolSize>corePoolSize,将建立新的线程来执行任务;
D、当提交新任务时,若任务总数超过maximumPoolSize,新提交的任务将由RejectedExecutionHandler来处理;
E、当线程池中的线程数超过corePoolSize时,若线程的空闲时间达到keepAliveTime,则关闭空闲线程
(4)任务阻塞队列选择机制
(5)简述SynchronousQueue
注:此处贴出SynchronousQueue的使用示例,示例中使用了Semaphore,更多关于SynchronousQueue及Semaphore的内容请参考其余文章
package com.test; import java.util.concurrent.Semaphore; import java.util.concurrent.SynchronousQueue; /* * 程序中有10个线程来消费生成者产生的数据,这些消费者都调用TestDo.doSome()方法去进行处理, * 每一个消费者都须要一秒才能处理完,程序应保证这些消费者线程依次有序地消费数据,只有上一个消费者消费完后, * 下一个消费者才能消费数据,下一个消费者是谁均可以,但要保证这些消费者线程拿到的数据是有顺序的。 */ public class SynchronousQueueTest { public static void main(String[] args) { System.out.println("begin:" + (System.currentTimeMillis() / 1000)); // 定义一个Synchronous final SynchronousQueue<String> sq = new SynchronousQueue<String>(); // 定义一个数量为1的信号量,其做用至关于一个互斥锁 final Semaphore sem = new Semaphore(1); for (int i = 0; i < 10; i++) { new Thread(new Runnable() { public void run() { try { sem.acquire(); String input = sq.take(); String output = TestDo.doSome(input);//内部类 System.out.println(Thread.currentThread().getName()+ ":" + output); sem.release(); } catch (InterruptedException e) { e.printStackTrace(); } } }).start(); } for (int i = 0; i < 10; i++) { String input = i + ""; //此处将i变成字符串 try { sq.put(input); } catch (InterruptedException e) { e.printStackTrace(); } } }//End main } class TestDo { public static String doSome(String input) { try { Thread.sleep(1000); } catch (InterruptedException e) { e.printStackTrace(); } String output = input + ":" + (System.currentTimeMillis() / 1000); return output; } }
上述代码的运行结果以下:
begin:1458954798 Thread-0:0:1458954799 Thread-1:1:1458954800 Thread-2:2:1458954801 Thread-3:3:1458954802 Thread-4:4:1458954803 Thread-5:5:1458954804 Thread-6:6:1458954805 Thread-7:7:1458954806 Thread-8:8:1458954807 Thread-9:9:1458954808
从上述结果看,上例在任意某一时刻只有一个线程在执行,且只有前一个线程执行完下一个线程才开始
6、饱和策略(线程池任务拒绝策略)
上文提到ThreadPoolExecutor构造函数的RejectedExecutionHandler handler参数,该参数表示当提交的任务数超过maxmumPoolSize与workQueue之和时,任务会交给RejectedExecutionHandler来处理,此处咱们来具体了解一下
(1)四种饱和策略
(2)源码分析:
RejectedExecutionHandler这个接口是用来处理被丢弃的线程的异常处理接口,其源码以下:
public interface RejectedExecutionHandler{ //被线程池丢弃的线程处理机制 public void rejectedExecution(Runnable r, ThreadPoolExecutor executor) ; }
AbortPolicy(停止策略)继承RejectedExecutionHandler接口,其源码以下:
public static class AbortPolicy implements RejectedExecutionHandler{ public AbortPolicy(){} //直接抛出异常 public void rejectedExecution(Runnable r, ThreadPoolExecutor executor) { throw new RejectedExecutionException("Task"+r.toString()+"rejected from"+executor.toString()); } }
咱们能够本身实现RejectedExecutionHandler接口,将实现类做为线程丢弃处理类,代码以下:
package com.test; import java.util.concurrent.RejectedExecutionHandler; import java.util.concurrent.ThreadPoolExecutor; public class RejectedExecutionHandlerDemo implements RejectedExecutionHandler{ @Override public void rejectedExecution(Runnable r, ThreadPoolExecutor executor) { // TODO Auto-generated method stub System.out.println("线程信息"+r.toString()+"被遗弃的线程池:"+executor.toString()); } }
7、定制ThreadPoolExecutor
(1)经过修改参数的方式达到定制目的
(2)经过自定义方式(封装各类参数)达到定制目的
示例(摘自网络):
import java.util.concurrent.ArrayBlockingQueue; import java.util.concurrent.ExecutorService; import java.util.concurrent.RejectedExecutionHandler; import java.util.concurrent.ThreadFactory; import java.util.concurrent.ThreadPoolExecutor; import java.util.concurrent.TimeUnit; import java.util.concurrent.atomic.AtomicInteger; public class CustomThreadPoolExecutor { private ThreadPoolExecutor pool = null; /** * 线程池初始化方法 * * corePoolSize 核心线程池大小----10 * maximumPoolSize 最大线程池大小----30 * keepAliveTime 线程池中超过corePoolSize数目的空闲线程最大存活时间----30+单位TimeUnit * TimeUnit keepAliveTime时间单位----TimeUnit.MINUTES * workQueue 阻塞队列----new ArrayBlockingQueue<Runnable>(10)====10容量的阻塞队列 * threadFactory 新建线程工厂----new CustomThreadFactory()====定制的线程工厂 * rejectedExecutionHandler 当提交任务数超过maxmumPoolSize+workQueue之和时, * 即当提交第41个任务时(前面线程都没有执行完,此测试方法中用sleep(100)), * 任务会交给RejectedExecutionHandler来处理 */ public void init() { pool = new ThreadPoolExecutor( 10, 30, 30, TimeUnit.MINUTES, new ArrayBlockingQueue<Runnable>(10), new CustomThreadFactory(),new CustomRejectedExecutionHandler()); } public void destory() { if(pool != null) { pool.shutdownNow(); } } public ExecutorService getCustomThreadPoolExecutor() { return this.pool; } private class CustomThreadFactory implements ThreadFactory { private AtomicInteger count = new AtomicInteger(0); @Override public Thread newThread(Runnable r) { Thread t = new Thread(r); String threadName = CustomThreadPoolExecutor.class.getSimpleName() + count.addAndGet(1); System.out.println(threadName); t.setName(threadName); return t; } } private class CustomRejectedExecutionHandler implements RejectedExecutionHandler { @Override public void rejectedExecution(Runnable r, ThreadPoolExecutor executor) { // 记录异常 // 报警处理等 System.out.println("error............."); } } // 测试构造的线程池 public static void main(String[] args) { CustomThreadPoolExecutor exec = new CustomThreadPoolExecutor(); // 1.初始化 exec.init(); ExecutorService pool = exec.getCustomThreadPoolExecutor(); for(int i=1; i<100; i++) { System.out.println("提交第" + i + "个任务!"); pool.execute(new Runnable() { @Override public void run() { try { Thread.sleep(300); } catch (InterruptedException e) { e.printStackTrace(); } System.out.println("running====="); } }); } // 2.销毁----此处不能销毁,由于任务没有提交执行完,若是销毁线程池,任务也就没法执行了 // exec.destory(); try { Thread.sleep(10000); } catch (InterruptedException e) { e.printStackTrace(); } } }
咱们能够看到上述代码是经过init()方法对ThreadPoolExecutor构造函数进行了一些自定义设置,getCustomThreadPoolExecutor()方法返回init()方法配置的ThreadPoolExecutor对象实例(即线程池引用)
补充:
ThreadPoolExecutor构造函数有一个参数ThreadFactory threadFactory,前文提到该参数是新建线程的工厂,此处进一步解说该参数。
ThreadFactory是java.util.concurrent包下建立线程工厂的接口,ThreadFactory接口源码以下:
public interface ThreadFactory { Thread newThread(Runnable r); }
JDK线程池:Executors.newSingleThreadExecutor、Executors.newFixedThreadPool等由一个ThreadFactory来建立新的线程,默认状况下为Executors.defaultThreadFactory(),咱们能够采用自定义的ThreadFactory工厂,增长对线程建立与销毁等更多的控制(好比上述代码中的内部类CustomThreadFactory即为新建线程的模板)
此处简单说起一下,读者欲了解更多内容能够参考如下文章
(1)http://guojuanjun.blog.51cto.com/277646/650981/
(2)http://ifeve.com/customizing-concurrency-classes-4/
8、扩展ThreadPoolExecutor
9、源码视角
从源码视角分析Executors、ThreadPoolExecutor、ExecuteService、Executor之间的关系,此处简单说起,读者可查看下一节“参考资料”以了解相关内容
(1)Executors
从Java5开始新增了Executors类,它有几个静态工厂方法用来建立线程池,这些静态工厂方法返回一个ExecutorService类型的值,此值即为线程池的引用。
(2)Executor
Executor是一个接口,里面只有一个方法
public interface Executor { void execute(Runnable command); }
(3)ExecuteService
ExecuteService也是一个接口,其定义以下:
public interface ExecutorService extends Executor {...}
(4)ThreadPoolExecutor继承AbstractExecutorService,AbstractExecutorService实现ExecutorService接口
public class ThreadPoolExecutor extends AbstractExecutorService {...}
public abstract class AbstractExecutorService implements ExecutorService {...}
10、ExecutorService的生命周期
在本文最开始的那个示例中,有一句代码,以下:
executor.shutdown();
该语句并非终止线程的运行,而是禁止在这个executor中添加新的任务,下文描述了该语句对于ExecutorService的意义。
11、参考资料
本文仅简单阐述了Java并发中关于Executors及ThreadPoolExecutor的内容,此处贴出一些优质文章以供读者阅览
(1)http://blog.csdn.net/xiamizy/article/details/40781939
(2)http://www.cnblogs.com/dolphin0520/p/3932921.html
(3)http://www.cnblogs.com/yezhenhan/archive/2012/01/07/2315645.html
(4)http://www.cnblogs.com/guguli/p/5198894.html