文章目录
最近在总结Android线程优化相关的知识，顺便说说AsyncTask，这是个google出来很早的封装类，也是我们常用到的一个操作线程。接下来，让我们一起深入学习回顾它吧。
一、简单使用和介绍（会的同学可以直接跳过看源码分析）
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看demo
//execute NumAsyncTask numAsyncTask = new NumAsyncTask(); numAsyncTask.execute(); ------------------------------------ private class NumAsyncTask extends AsyncTask<Void, Integer, Void>{ @Override protected Void doInBackground(Void... voids) { for (int i = 0; i < 8; i++) { try { Thread.sleep(100); } catch (InterruptedException e) { e.printStackTrace(); } publishProgress(i); Log.e(TAG, "doInBackground : for -"+i+" "+Thread.currentThread().getName()); } return null; } @Override protected void onPreExecute() { super.onPreExecute(); Log.e(TAG, "onPreExecute : "+Thread.currentThread().getName()); } @Override protected void onPostExecute(Void aVoid) { super.onPostExecute(aVoid); Log.e(TAG, "onPostExecute : "+Thread.currentThread().getName()); } @Override protected void onProgressUpdate(Integer... values) { super.onProgressUpdate(values); Log.e(TAG, "onProgressUpdate : "+values[0]+" " +Thread.currentThread().getName()); } @Override protected void onCancelled() { super.onCancelled(); Log.e(TAG, "onCancelled : "+Thread.currentThread().getName()); } } -
执行结果
$NumAsyncTask: onPreExecute : main $NumAsyncTask: doInBackground : for -0 AsyncTask #1 $NumAsyncTask: onProgressUpdate : 0 main $NumAsyncTask: doInBackground : for -1 AsyncTask #1 $NumAsyncTask: onProgressUpdate : 1 main $NumAsyncTask: doInBackground : for -2 AsyncTask #1 $NumAsyncTask: onProgressUpdate : 2 main $NumAsyncTask: doInBackground : for -3 AsyncTask #1 $NumAsyncTask: onProgressUpdate : 3 main $NumAsyncTask: doInBackground : for -4 AsyncTask #1 $NumAsyncTask: onProgressUpdate : 4 main $NumAsyncTask: doInBackground : for -5 AsyncTask #1 $NumAsyncTask: onProgressUpdate : 5 main $NumAsyncTask: doInBackground : for -6 AsyncTask #1 $NumAsyncTask: onProgressUpdate : 6 main $NumAsyncTask: doInBackground : for -7 AsyncTask #1 $NumAsyncTask: onProgressUpdate : 7 main $NumAsyncTask: onPostExecute : main -
由上可以看出执行的顺序分别是：
- onPreExecute 在主线程执行准备工作
- doInBackground 在子线程执行耗时操作
- onProgressUpdate在UI主线程可以接受并显示子线程处理的结果
- onPostExecute 子线程处理完毕，在UI线程更新
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简单使用大家都会，那么我们一起深入了解一下源码吧。
二、源码剖析
不同的Android源码可能会有出入，这个基于Android API 20
1.首先从AsyncTask初始化开始
public abstract class AsyncTask<Params, Progress, Result> {
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注意到，在AsyncTask抽象类上面扒拉一大堆注释，也是教我们怎么使用，简单看重点：AsyncTask主要用于轻松使用UI Thread,用于辅助Thread和Handle使用，最好用在子线程短时间操作（大概几秒左右），长时间建议使用线程池。
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再看AsyncTask的后缀泛型，给出了三个参数<Params, Progress, Result>分别是（后文还会提到）：
- Params：发送给任务的参数类型
- Progress： 在此期间发布的进度类型
- Result： 后台结果的类型
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在看类的初始化
1 ---------> 创建一个mHandler，并new了一个mWorker，存储参数 * call方法设置进程等级并调用doInBackground(mParams);---后面继续说道 public AsyncTask(@Nullable Looper callbackLooper) { mHandler = callbackLooper == null || callbackLooper == Looper.getMainLooper() ? getMainHandler() : new Handler(callbackLooper); mWorker = new WorkerRunnable<Params, Result>() { public Result call() throws Exception { mTaskInvoked.set(true); Result result = null; try { Process.setThreadPriority(Process.THREAD_PRIORITY_BACKGROUND); //noinspection unchecked result = doInBackground(mParams); Binder.flushPendingCommands(); } catch (Throwable tr) { mCancelled.set(true); throw tr; } finally { postResult(result); } return result; } }; 2 --------->mWorker实现了Callable private static abstract class WorkerRunnable<Params, Result> implements Callable<Result> { Params[] mParams; }
2. mWorker中实现call方法，并调用doInBackground
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call里面首先设置了进程等级setThreadPriority-Process.THREAD_PRIORITY_BACKGROUND-10
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调用doInBackground，并且操作worker中保存的params
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Binder.flushPendingCommands() ： 刷新命令道binder driver，用于长时间的进程持有资源释放处理
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在finally中调用了postResult（result）,result是初始化时泛型声明的返回结果类型
1 ---------> private Result postResult(Result result) { @SuppressWarnings("unchecked") Message message = getHandler().obtainMessage(MESSAGE_POST_RESULT, new AsyncTaskResult<Result>(this, result)); message.sendToTarget(); return result; } 2 --------->静态内部类封装的消息传递，包含当前Task和Data（自定义类型） private static class AsyncTaskResult<Data> { final AsyncTask mTask; final Data[] mData; AsyncTaskResult(AsyncTask task, Data... data) { mTask = task; mData = data; } } 3 --------->getHandler返回上面初始化时创建的 private Handler getHandler() { return mHandler; }
3.看Handler构成的消息传递机制
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getMainHandler，主线程的Looper
private static Handler getMainHandler() { synchronized (AsyncTask.class) { if (sHandler == null) { sHandler = new InternalHandler(Looper.getMainLooper()); } return sHandler; } } -
InternalHandler与publishProgress：
1 --------->处理result和progress消息机制 private static class InternalHandler extends Handler { public InternalHandler(Looper looper) { super(looper); } @SuppressWarnings({"unchecked", "RawUseOfParameterizedType"}) @Override public void handleMessage(Message msg) { AsyncTaskResult<?> result = (AsyncTaskResult<?>) msg.obj; switch (msg.what) { case MESSAGE_POST_RESULT: // There is only one result result.mTask.finish(result.mData[0]); break; case MESSAGE_POST_PROGRESS: result.mTask.onProgressUpdate(result.mData); break; } } } 2 --------->finish：结束，并标记状态：FINISHED * 如果是异常或者主动打断调用onCancelled * 否则调用 onPostExecute 结束，并传递result private void finish(Result result) { if (isCancelled()) { onCancelled(result); } else { onPostExecute(result); } mStatus = Status.FINISHED; } 3 --------->再看publishProgress，一样通过Handler机制传递，自定义的progress类型值 protected final void publishProgress(Progress... values) { if (!isCancelled()) { getHandler().obtainMessage(MESSAGE_POST_PROGRESS, new AsyncTaskResult<Progress>(this, values)).sendToTarget(); } }
4.接着看execute方法
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首先是注释，从Android API 11开始，改为单线程执行，如果想要并行，使用executeOnExecutor传入线程池管理
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看代码：
1 --------->返回本身，params传参为任务参数（我们先不管，接着看） @MainThread public final AsyncTask<Params, Progress, Result> execute(Params... params) { return executeOnExecutor(sDefaultExecutor, params); } 2 --------->executeOnExecutor传入 sDefaultExecutor * 这里有2个标记：RUNNING，FINISHED，印证上面说的，单线程执行，在执行完成前调用报错 * 在创建线程池前调用onPreExecute(); * 给mWorker赋值传入参数类型params public final AsyncTask<Params, Progress, Result> executeOnExecutor(Executor exec, Params... params) { if (mStatus != Status.PENDING) { switch (mStatus) { case RUNNING: throw new IllegalStateException("Cannot execute task:" + " the task is already running."); case FINISHED: throw new IllegalStateException("Cannot execute task:" + " the task has already been executed " + "(a task can be executed only once)"); } } mStatus = Status.RUNNING; onPreExecute(); mWorker.mParams = params; exec.execute(mFuture); return this; } 3 ---------> 上述看出，它调了sDefaultExecutor.execute,并执行了FutureTask
5.接着看线程池sDefaultExecutor和execute方法
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sDefaultExecutor成员变量中声明
private static volatile Executor sDefaultExecutor = SERIAL_EXECUTOR; public static final Executor SERIAL_EXECUTOR = new SerialExecutor(); -
看SerialExecutor，是AsyncTask中的私有静态内部类：
1 ---------> execute执行时，在mTasks双向队列中，末尾添加一个Runnable * 并在同步情况下，通过线程池 THREAD_POOL_EXECUTOR执行该任务 private static class SerialExecutor implements Executor { final ArrayDeque<Runnable> mTasks = new ArrayDeque<Runnable>(); Runnable mActive; public synchronized void execute(final Runnable r) { mTasks.offer(new Runnable() { public void run() { try { r.run(); } finally { scheduleNext(); } } }); if (mActive == null) { scheduleNext(); } } protected synchronized void scheduleNext() { if ((mActive = mTasks.poll()) != null) { THREAD_POOL_EXECUTOR.execute(mActive); } } } -
看线程池THREAD_POOL_EXECUTOR：
1 ---------> 创建了一个线程池，参数如下： * 核心线程池大小2-4 * 最大线程池的大小根据CPU的内核计算CPU_COUNT * 2 + 1， * KEEP_ALIVE_SECONDS * 线程池队列sPoolWorkQueue，最大128 private static final BlockingQueue<Runnable> sPoolWorkQueue = new LinkedBlockingQueue<Runnable>(128); private static final int CPU_COUNT = Runtime.getRuntime().availableProcessors(); // We want at least 2 threads and at most 4 threads in the core pool, // preferring to have 1 less than the CPU count to avoid saturating // the CPU with background work private static final int CORE_POOL_SIZE = Math.max(2, Math.min(CPU_COUNT - 1, 4)); private static final int MAXIMUM_POOL_SIZE = CPU_COUNT * 2 + 1; private static final int KEEP_ALIVE_SECONDS = 30; public static final Executor THREAD_POOL_EXECUTOR; static { ThreadPoolExecutor threadPoolExecutor = new ThreadPoolExecutor( CORE_POOL_SIZE, MAXIMUM_POOL_SIZE, KEEP_ALIVE_SECONDS, TimeUnit.SECONDS, sPoolWorkQueue, sThreadFactory); threadPoolExecutor.allowCoreThreadTimeOut(true); THREAD_POOL_EXECUTOR = threadPoolExecutor; }
三、总结
AsyncTask的源码到上面就分析结束了，看起来非常的简单，但是设计全是非常的全面和方便。如果想要加深理解，需要详细的了解Android异步机制，Handler，以及Java线程池的学习。可以参考我后续发的一系列源码分析，一起来探索学习。