AsyncTask源码剖析
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前言: 初学AsyncTask时,就想研究下它的实现源码,怎奈源码看了好几遍都没看懂,于是搁置了。最近心血来潮,又看了一些源码,如HandlerThread,IntentService,AsyncQueryHandler等,收获颇深,于是乎想回头再研究下AsyncTask,没想到这次居然很容易看懂了。。。 正文: 注:1.读者阅读本文前,必须对android的Handler机制以及j.u.c中的线程池有所了解;2.AsyncTask使用方式不再赘述。3.不同版本AsyncTask内容有些不同.
首先明确AsyncTask是个抽象类,接受三个泛型参数,分表代表任务所需参数类型,任务进度类型,结果类型。
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public abstract class AsyncTask<params, result= "" > </params,> |
开发者继承AsyncTask后必须重写doInbackground方法,其他方法如onPostExecute等按需重写。
其内部有个静态全局的线程池变量THREAD_POOL_EXECUTOR,AsyncTask的doInbackground中的任务就是由此线程池执行。
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public static final Executor THREAD_POOL_EXECUTOR = new ThreadPoolExecutor(CORE_POOL_SIZE, MAXIMUM_POOL_SIZE, KEEP_ALIVE, TimeUnit.SECONDS, sPoolWorkQueue, sThreadFactory); |
ThreadPoolExecutor各参数含义如下,CORE_POOL_SIZE为核心线程数量,MAXIMUM_POOL_SIZE为线程池最大线程数量,KEEP_ALIVE参数表明当线程池的线程数量大于核心线程数量,那么空闲时间超过KEEP_ALIVE时,超出部分的线程将被回收,sPoolWorkQueue是任务队列,存储的是一个个Runnable,sThreadFactory是线程工厂,用于创建线程池中的线程。所有这些参数在AsyncTask内部都已经定义好:
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private static final int CORE_POOL_SIZE = 5 ; private static final int MAXIMUM_POOL_SIZE = 128 ; private static final int KEEP_ALIVE = 1 ; private static final ThreadFactory sThreadFactory = new ThreadFactory() { private final AtomicInteger mCount = new AtomicInteger( 1 ); public Thread newThread(Runnable r) { return new Thread(r, "AsyncTask #" + mCount.getAndIncrement()); } }; private static final BlockingQueue<runnable> sPoolWorkQueue = new LinkedBlockingQueue<runnable>( 10 );</runnable></runnable> |
AsyncTask并不是直接使用上述线程池,而是进行了一层“包装”,这个类就是SerialExecutor,这是个串行的线程池。
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/** * An {@link Executor} that executes tasks one at a time in serial * order. This serialization is global to a particular process. */ public static final Executor SERIAL_EXECUTOR = new SerialExecutor(); |
看其具体实现:
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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); } } }</runnable></runnable> |
调用execute方法时,先将Runnable包装一下(即加上try-finally块)然后加入队列,接着判断当前mActive是否为空,第一次调用,此值为空,所以会调用scheduleNext方法,从队列中取出头部的任务,交给线程池THREAD_POOL_EXECUTOR处理,而处理过程是这样的,先执行原先的Runnable的run方法,接着再执行scheduleNext从队列中取出Runnable,如此循环,直到队列为空,mActive重新为空为止。我们发现,经过这样的处理,所有任务将串行执行。 所以我们需要注意,如果两个AsyncTask都调用execute时,如果其中一个AsyncTask任务执行时间非常长,这将导致另一个AsyncTask的任务排队等候,无法执行,因为它们共享同一个线程池且池是串行执行任务的。
接着看其他成员:
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private static final int MESSAGE_POST_RESULT = 0x1 ; //当前消息类型--->任务完成消息 private static final int MESSAGE_POST_PROGRESS = 0x2 ; //当前消息类型-->进度消息 private static final InternalHandler sHandler = new InternalHandler(); private static volatile Executor sDefaultExecutor = SERIAL_EXECUTOR; //默认线程池 private final WorkerRunnable<params, result= "" > mWorker; private final FutureTask<result> mFuture; private volatile Status mStatus = Status.PENDING; //当前状态 private final AtomicBoolean mCancelled = new AtomicBoolean(); private final AtomicBoolean mTaskInvoked = new AtomicBoolean();</result></params,> |
sDefaultExecutor指明默认的线程池是串行池,mStatus指明当前任务状态,Status是个枚举类型:
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public enum Status { /** * Indicates that the task has not been executed yet. */ PENDING, //等待执行 /** * Indicates that the task is running. */ RUNNING, //执行 /** * Indicates that {@link AsyncTask#onPostExecute} has finished. */ FINISHED, //执行结束 } |
重点看InternalHandler实现:
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private static class InternalHandler extends Handler { @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 ; } } } |
InternalHandler继承自Handler,并复写了handleMessage,该方法根据消息类型做不同处理,如果任务完成,则调用finish方法,而finish方法根据任务状态(取消or完成)调用onCancelled或者onPostExecute,这两个是回调方法,通常我们会在onPostExecute中根据任务执行结果更新UI,这也是为什么文档中要求AsyncTask必须在UI线程中创建的原因,我们的Handler须与UI线程的Looper绑定才能更新UI,并且子线程默认是没有Looper的。
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private void finish(Result result) { if (isCancelled()) { onCancelled(result); } else { onPostExecute(result); } mStatus = Status.FINISHED; } |
如果是更新进度的消息(MESSAGE_POST_PROGRESS),那么调用onProgressUpdate方法。
接下来我们关注的问题是doInbackground方法在何处被调用?联想AsyncTask的使用,当我们创建好一个AsyncTask实例后,我们将调用其execute方法,所以,doInbackground方法应该在execute方法中执行,找到其实现:
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public final AsyncTask<params, result= "" > execute(Params... params) { return executeOnExecutor(sDefaultExecutor, params); }</params,> |
并没有直接调用doInbackground,而是调用了executeOnExecutor方法:
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public final AsyncTask<params, 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 ; }</params,> |
executeOnExecutor方法的作用是使用指定的线程池执行任务,这里当然使用的是sDefaultExecutor,也就是SerialExecutor,但是我们注意到这个方法是公共的,也就是说我们可以手动配置线程池,让AsyncTask并行执行起来,最简单的方法就是使用内部定义好的THREAD_POOL_EXECUTOR。executeOnExecutor方法首先检查当前状态,如果不是Pending状态则抛出异常,紧接着修改状态为Running态,接着调用onPreExecute方法(预处理,相信大家不陌生)。
关键代码是exec.execute(mFuture)这一句,这行代码的作用是执行mFuture中定义好的任务,mFuture为FutureTask类型,FutureTask是Runnable的实现类(j.u.c中的),所以可以作为线程池execute方法的参数,我们找到其定义:
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mFuture = new FutureTask<result>(mWorker) { @Override protected void done() { try { postResultIfNotInvoked(get()); } catch (InterruptedException e) { android.util.Log.w(LOG_TAG, e); } catch (ExecutionException e) { throw new RuntimeException( "An error occured while executing doInBackground()" , e.getCause()); } catch (CancellationException e) { postResultIfNotInvoked( null ); } } };</result> |
我们都知道,FutureTask构造时必须传入一个Callable的实现类,线程最终执行的是Callable的call方法(不明白的请看java线程并发库),所以mWorker必然是Callable的实现类:
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private static abstract class WorkerRunnable<params, result= "" > implements Callable<result> { Params[] mParams; } mWorker = new WorkerRunnable<params, result= "" >() { public Result call() throws Exception { mTaskInvoked.set( true ); Process.setThreadPriority(Process.THREAD_PRIORITY_BACKGROUND); //noinspection unchecked return postResult(doInBackground(mParams)); } };</params,></result></params,> |
最终,我们在WorkRunnable方法中找到了doInBackground方法,历经艰辛啊!! 剩下最后一个问题:消息是如何发送给Handler的? 1.任务执行完毕的消息是通过postResult方法发送的:
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private Result postResult(Result result) { @SuppressWarnings ( "unchecked" ) Message message = sHandler.obtainMessage(MESSAGE_POST_RESULT, new AsyncTaskResult<result>( this , result)); message.sendToTarget(); return result; }</result> |
这个AsyncTaskResult封装了数据域和对象本身:
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private static class AsyncTaskResult<data> { final AsyncTask mTask; final Data[] mData; AsyncTaskResult(AsyncTask task, Data... data) { mTask = task; mData = data; } }</data> |
2.任务进度更新消息是通过publishProgress方法发送的:
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protected final void publishProgress(Progress... values) { if (!isCancelled()) { sHandler.obtainMessage(MESSAGE_POST_PROGRESS, new AsyncTaskResult |
至此,AsyncTask源码分析完毕!
稍微做个总结: 1.AsyncTask是对线程池和Handler的封装,但是默认情况下任务是串行执行的,需注意,多个AsyncTask实例共享同一线程池(线程池是static的); 2.高并发任务并不推荐使用AsyncTask,而应该改用线程池; 3.务必在主线程中创建AsyncTask,因为AsyncTask内部的Handler在创建时必须要绑定主线程的Looper; 4.只能在doInBackground方法中执行耗时任务,其他方法如onPreExecute、onPostExecute等运行于主线程上.