Awara 2013-11-25
在android开发中,如果有比较耗时的操作,为了避免ANR,我们一般采用多线程的方式来运行耗时操作。而android推荐我们使用AsyncTask来启动新的线程,根据API文档的介绍,我们知道AsyncTask在耗时任务执行完毕后能直接更新UI线程,所以使用这个类可以满足我们大多数的多线程开发需求。但是这个工具类的底层实现是怎样的?下面我们通过阅读源码来研究一下。通过阅读源码,得知AsyncTask在实现上不是直接使用Thread类,而是使用了JDK5引入的并发包里执行器(Executor)来启动线程。首先从AsyncTask类的入口方法execute(Params... params)开始跟踪代码。
public final AsyncTask<Params, Progress, Result> execute(Params... params) { return executeOnExecutor(sDefaultExecutor, 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; }
可以看到在execute方法中直接调用了executeOnExecutor(sDefaultExecutor, params)方法,最终执行到sDefaultExecutor的execute方法。可见exec.execute(mFuture)是最为关键的一行代码。先分析下这里的调度器。
private static volatile Executor sDefaultExecutor = SERIAL_EXECUTOR; public static final Executor SERIAL_EXECUTOR = new SerialExecutor(); 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); } } }
可以看到,AsyncTask类默认的执行器是串行执行器。这里的串行是指提交到AsyncTask类的Runnable都是串行执行的。当执行到SerialExecutor 的Executor方法时,并不是立即运行该Runnable,而是重新包装一下该Runnable(该Runnable运行结束后自动执行双向队列里面的下一个Runnable),并把包装后的Runnable添加到双向队列中。这样做的好处是可以避免并发所带来的常见问题。如果不想采用串行的方式,可以通过setDefaultExecutor(Executor exec)来传入自己的执行器。真正对Runnable的执行是在scheduleNext方法中,通过THREAD_POOL_EXECUTOR来真正的执行提交到AsyncTask的任务。其中:
public static final Executor THREAD_POOL_EXECUTOR = new ThreadPoolExecutor(CORE_POOL_SIZE, MAXIMUM_POOL_SIZE, KEEP_ALIVE, TimeUnit.SECONDS, sPoolWorkQueue, sThreadFactory); private static final int CPU_COUNT = Runtime.getRuntime().availableProcessors(); private static final int CORE_POOL_SIZE = CPU_COUNT + 1; private static final int MAXIMUM_POOL_SIZE = CPU_COUNT * 2 + 1; private static final int KEEP_ALIVE = 1; private static final BlockingQueue<Runnable> sPoolWorkQueue = new LinkedBlockingQueue<Runnable>(128); 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()); } };
根据ThreadPoolExecutor构造函数里面的参数,可以看出该线程池常驻线程为(CPU_COUNT + 1)个,最多允许(CPU_COUNT * 2 + 1)个线程存在,多余的空闲线程的存活时间为1秒,保存未执行的task是一个阻塞队列,sThreadFactory 负责创建新线程。
接下来,我们分析下mFuture。通过阅读源码得知,mFuture的初始化是在AsyncTask类的构造方法中执行的。
public AsyncTask() { 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)); } }; 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); } } }; }
到这里为止,整个AsyncTask类的执行流程就清晰了。先是在AsyncTask类的构造方法中初始化mFuture,当执行到exec.execute(mFuture)时会执行mFuture的run方法,在run方法中调用mWorker的call方法,而在call方法中会最终执行我们在doInBackground中实现的操作,并返回Result,返回后再通过Handler来更新UI,其中:
private static final InternalHandler sHandler = new InternalHandler(); 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; } } }
至此,AsyncTask的源码已基本分析完毕。有什么不对的地方,欢迎大家指正。