线程池的理解

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Android性能优化之使用线程池

在写程序时有些异步程序只执行一遍就不需要了,为了方便经常会写下面的代码

new Thread(new Runnable() {     @Override    public void run() {        // TODO Auto-generated method stub    }}).start();

这样new出来的匿名对象会存在一些问题

1.由于是匿名的,无法对它进行管理

2.如果需要多次执行这个操作就new多次,可能创建多个,占用系统资源

3.无法执行更多的操作

使用线程池的好处

1.可以重复利用存在的线程,减少系统的开销

2.利用线程池可以执行定时、并发数的控制

Java的线程池对Android也是适用的

线程池的作用:

线程池作用就是限制系统中执行线程的数量。

根据系统的环境情况,可以自动或手动设置线程数量,达到运行的最佳效果;少了浪费了系统资源,多了造成系统拥挤效率不高。用线程池控制线程数量,其他线程排队等候。一个任务执行完毕,再从队列的中取最前面的任务开始执行。若队列中没有等待进程,线程池的这一资源处于等待。当一个新任务需要运行时,如果线程池中有等待的工作线程,就可以开始运行了;否则进入等待队列。

为什么要用线程池:

1.减少了创建和销毁线程的次数,每个工作线程都可以被重复利用,可执行多个任务。

2.可以根据系统的承受能力,调整线程池中工作线线程的数目,防止因为消耗过多的内存,而把服务器累趴下(每个线程需要大约1MB内存,线程开的越多,消耗的内存也就越大,最后死机)。

Java通过Executors提供四种线程池,分别为:

newCachedThreadPool创建一个可缓存线程池,如果线程池长度超过处理需要,可灵活回收空闲线程,若无可回收,则新建线程。

newFixedThreadPool 创建一个定长线程池,可控制线程最大并发数,超出的线程会在队列中等待。

newScheduledThreadPool 创建一个定长线程池,支持定时及周期性任务执行。

newSingleThreadExecutor 创建一个单线程化的线程池,它只会用唯一的工作线程来执行任务,保证所有任务按照指定顺序(FIFO, LIFO, 优先级)执行。

/**   * 可以缓存线程池   */  public static void Function1() {    ExecutorService executorService = Executors.newCachedThreadPool();    for (int i = 0; i < 50; i++) {      final int index = i;      try {        Thread.sleep(100); // 休眠时间越短创建的线程数越多      } catch (InterruptedException e) {        // TODO Auto-generated catch block        e.printStackTrace();      }      executorService.execute(new Runnable() {        @Override        public void run() {          // TODO Auto-generated method stub          System.out.println("active count = " + Thread.activeCount()              + " index = " + index);          try {            Thread.sleep(1000);          } catch (InterruptedException e) {            // TODO Auto-generated catch block            e.printStackTrace();          }        }      });    }  }

打印结果

active count = 2 index = 0

active count = 3 index = 1

active count = 4 index = 2

active count = 5 index = 3

active count = 6 index = 4

active count = 7 index = 5

active count = 8 index = 6

active count = 9 index = 7

active count = 10 index = 8

active count = 11 index = 9

active count = 11 index = 10

active count = 11 index = 11

active count = 11 index = 12

active count = 11 index = 13

active count = 11 index = 14

active count = 11 index = 15

active count = 11 index = 16

active count = 11 index = 17

active count = 11 index = 18

active count = 11 index = 19

active count = 11 index = 20

active count = 11 index = 21

active count = 11 index = 22

active count = 11 index = 23

active count = 11 index = 24

active count = 11 index = 25

active count = 11 index = 26

active count = 11 index = 27

active count = 11 index = 28

active count = 11 index = 29

active count = 11 index = 30

active count = 11 index = 31

active count = 11 index = 32

active count = 11 index = 33

active count = 11 index = 34

active count = 11 index = 35

active count = 11 index = 36

active count = 11 index = 37

active count = 11 index = 38

active count = 11 index = 39

active count = 11 index = 40

active count = 11 index = 41

active count = 11 index = 42

active count = 11 index = 43

active count = 11 index = 44

active count = 11 index = 45

active count = 11 index = 46

active count = 11 index = 47

active count = 11 index = 48

active count = 10 index = 49

从打印消息来看开始线程数在增加,后来稳定,可以修改休眠时间,休眠时间越短创建的线程数就越多,因为前面的还没执行完,线程池中没有可以执行的就需要创建;如果把休眠时间加大,创建的线程数就会少

2.newFixedThreadPool  根据传入的参数创建线程数目

/**   * 定长线程池   */  public static void Function2() {    ExecutorService executorService = Executors.newFixedThreadPool(3);    for (int i = 0; i < 30; i++) {      final int index = i;      executorService.execute(new Runnable() {        @Override        public void run() {          try {            System.out.println("index = " + index                + "  thread count = " + Thread.activeCount());            Thread.sleep(2000);          } catch (InterruptedException e) {            // TODO Auto-generated catch block            e.printStackTrace();          }        }      });    }  }

3.newScheduledThreadPool

/**   * 定长线程池,可做延时   */  public static void Function3() {    ScheduledExecutorService executorService = Executors        .newScheduledThreadPool(5);    executorService.schedule(new Runnable() {      @Override      public void run() {        System.out.println("delay 3 seconds" + "  thread count = "            + Thread.activeCount());      }    }, 3, TimeUnit.SECONDS);  }  /**   * 定期执行,可以用来做定时器   */  public static void Function4() {    ScheduledExecutorService executorService = Executors        .newScheduledThreadPool(3);    executorService.scheduleAtFixedRate(new Runnable() {      @Override      public void run() {        System.out            .println("delay 1 seconds, and excute every 3 seconds"                + "  thread count = " + Thread.activeCount());      }    }, 1, 3, TimeUnit.SECONDS);  }

打印结果

delay 1 seconds, and excute every 3 seconds  thread count = 2delay 1 seconds, and excute every 3 seconds  thread count = 3delay 1 seconds, and excute every 3 seconds  thread count = 4delay 1 seconds, and excute every 3 seconds  thread count = 4delay 1 seconds, and excute every 3 seconds  thread count = 4delay 1 seconds, and excute every 3 seconds  thread count = 4delay 1 seconds, and excute every 3 seconds  thread count = 4delay 1 seconds, and excute every 3 seconds  thread count = 4delay 1 seconds, and excute every 3 seconds  thread count = 4

4.newSingleThreadExecutor这个最简单

/**   * 单例线程   */  public static void Function5() {    ExecutorService singleThreadExecutor = Executors        .newSingleThreadExecutor();    for (int i = 0; i < 5; i++) {      final int index = i;      singleThreadExecutor.execute(new Runnable() {        @Override        public void run() {          try {            System.out.println("index = " + index                + "  thread count = " + Thread.activeCount());            Thread.sleep(1000);          } catch (InterruptedException e) {            // TODO Auto-generated catch block            e.printStackTrace();          }        }      });    }  }

打印结果:

index = 0  thread count = 2index = 1  thread count = 2index = 2  thread count = 2index = 3  thread count = 2index = 4  thread count = 2

只创建了一个线程

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