JAVA 线程优化及线程池管理
一：优化HandlerThread
我们在 activity中start了一个HandlerThread，那么这个线程会启动一个looper消息循环，当activity退出了，这个HandlerThread线程并没有终止，还是在那里做looper死循环，如果页面跳转频繁重复，这样的无用线程会越来越多，占用系统资源，最终导致进程crash掉。
所以当HandlerThread已经没有利用价值的时候，将它停止掉，只有这样才能开发出健壮的android程序。
首先知道如何停止一个已经启动了的HandlerThread呢？
先看 Looper.loop()的核心代码：
- while (true) {
- Message msg = queue.next(); // might block
- if (msg != null) {
- if (msg.target == null) {
- // No target is a magic identifier for the quit message.
- return;
- }
- long wallStart = 0;
- long threadStart = 0;
- // This must be in a local variable, in case a UI event sets the logger
- Printer logging = me.mLogging;
- if (logging != null) {
- logging.println(">>>>> Dispatching to " + msg.target + " " +
- msg.callback + ": " + msg.what);
- wallStart = SystemClock.currentTimeMicro();
- threadStart = SystemClock.currentThreadTimeMicro();
- }
- msg.target.dispatchMessage(msg);
看到里面是一个无限循环，退出循环的条件是：msg.target == null;
也就是说，如果我们向此looper的MessageQueue发送一个target为null的message，就可以停止这个线程的远行。
继续看Looper.Java的代码：
会发现有一个方法：
- public void quit() {
- Message msg = Message.obtain();
- // NOTE: By enqueueing directly into the message queue, the
- // message is left with a null target. This is how we know it is
- // a quit message.
- mQueue.enqueueMessage(msg, 0);
- }
所以，停止HandlerThread的方法终于找到了，就是使用quit方法，具体调用形式如下：
mHandlerThread.getLooper().quit();
二：线程池管理：
在时写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
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。
原理：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。
1. newCachedThreadPool/**
* 可以缓存线程池
*/
public static void Function1() {
ExecutorService executorService = Executors.newCachedThreadPool();
for (int i = 0; i < 30; i++) {//30次
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 = 10 index = 30
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 = 2
delay 1 seconds, and excute every 3 seconds thread count = 3
delay 1 seconds, and excute every 3 seconds thread count = 4
delay 1 seconds, and excute every 3 seconds thread count = 4
delay 1 seconds, and excute every 3 seconds thread count = 4
delay 1 seconds, and excute every 3 seconds thread count = 4
delay 1 seconds, and excute every 3 seconds thread count = 4
delay 1 seconds, and excute every 3 seconds thread count = 4
delay 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 = 2
index = 1 thread count = 2
index = 2 thread count = 2
index = 3 thread count = 2
index = 4 thread count = 2
只创建了一个线程
- while (true) {
- Message msg = queue.next(); // might block
- if (msg != null) {
- if (msg.target == null) {
- // No target is a magic identifier for the quit message.
- return;
- }
- long wallStart = 0;
- long threadStart = 0;
- // This must be in a local variable, in case a UI event sets the logger
- Printer logging = me.mLogging;
- if (logging != null) {
- logging.println(">>>>> Dispatching to " + msg.target + " " +
- msg.callback + ": " + msg.what);
- wallStart = SystemClock.currentTimeMicro();
- threadStart = SystemClock.currentThreadTimeMicro();
- }
- msg.target.dispatchMessage(msg);
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。
- while (true) {
- Message msg = queue.next(); // might block
- if (msg != null) {
- if (msg.target == null) {
- // No target is a magic identifier for the quit message.
- return;
- }
- long wallStart = 0;
- long threadStart = 0;
- // This must be in a local variable, in case a UI event sets the logger
- Printer logging = me.mLogging;
- if (logging != null) {
- logging.println(">>>>> Dispatching to " + msg.target + " " +
- msg.callback + ": " + msg.what);
- wallStart = SystemClock.currentTimeMicro();
- threadStart = SystemClock.currentThreadTimeMicro();
- }
- msg.target.dispatchMessage(msg);