标签:线程池 并发 asynctask android 多线程
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我答同行问序列目录http://blog.csdn.net/andywuchuanlong/article/details/44194043
4、网络请求的时候,我们都需要开启线程,那么是使用asyncTask还是使用Thread+Handler模式呢?
网络请求是每个app都需要进行的,很多人会使用asyncTask,也有人喜欢Thread+Handler,下面我按照我的想法讲解一下他们两者的区别。
public abstract class AsyncTask<Params, Progress, Result> { private static final String LOG_TAG = "AsyncTask"; //获取当前的cpu核心数 private static final int CPU_COUNT = Runtime.getRuntime().availableProcessors(); //线程池核心容量 private static final int CORE_POOL_SIZE = CPU_COUNT + 1; //线程池最大容量 private static final int MAXIMUM_POOL_SIZE = CPU_COUNT * 2 + 1; private static final int KEEP_ALIVE = 1; //ThreadFactory 线程工厂,通过工厂方法newThread来获取新线程 private static final ThreadFactory sThreadFactory = new ThreadFactory() { //原子整数,可以在超高并发下正常工作 private final AtomicInteger mCount = new AtomicInteger(1); public Thread newThread(Runnable r) { return new Thread(r, "AsyncTask #" + mCount.getAndIncrement()); } }; //静态阻塞式队列,用来存放待执行的任务,初始容量:128个 private static final BlockingQueue<Runnable> sPoolWorkQueue = new LinkedBlockingQueue<Runnable>(128); /** * 静态并发线程池,可以用来并行执行任务,尽管从3.0开始,AsyncTask默认是串行执行任务 * 但是我们仍然能构造出并行的AsyncTask */ public static final Executor THREAD_POOL_EXECUTOR = new ThreadPoolExecutor(CORE_POOL_SIZE, MAXIMUM_POOL_SIZE, KEEP_ALIVE, TimeUnit.SECONDS, sPoolWorkQueue, sThreadFactory); /** * 静态串行任务执行器,其内部实现了串行控制, * 循环的取出一个个任务交给上述的并发线程池去执行 */ public static final Executor SERIAL_EXECUTOR = new SerialExecutor(); //消息类型:发送结果 private static final int MESSAGE_POST_RESULT = 0x1; //消息类型:更新进度 private static final int MESSAGE_POST_PROGRESS = 0x2; /**静态Handler,用来发送上述两种通知,采用UI线程的Looper来处理消息 * 这就是为什么AsyncTask必须在UI线程调用,因为子线程 * 默认没有Looper无法创建下面的Handler,程序会直接Crash */ private static final InternalHandler sHandler = new InternalHandler(); //默认任务执行器,被赋值为串行任务执行器,就是它,AsyncTask变成串行的了 private static volatile Executor sDefaultExecutor = SERIAL_EXECUTOR; private final WorkerRunnable<Params, Result> mWorker; private final FutureTask<Result> mFuture; private volatile Status mStatus = Status.PENDING; private final AtomicBoolean mCancelled = new AtomicBoolean(); private final AtomicBoolean mTaskInvoked = new AtomicBoolean(); /**串行执行器的实现,我们要好好看看,它是怎么把并行转为串行的 *目前我们需要知道,asyncTask.execute(Params ...)实际上会调用 *SerialExecutor的execute方法,这一点后面再说明。也就是说:当你的asyncTask执行的时候, *首先你的task会被加入到任务队列,然后排队,一个个执行 */ private static class SerialExecutor implements Executor { //线性双向队列,用来存储所有的AsyncTask任务 final ArrayDeque<Runnable> mTasks = new ArrayDeque<Runnable>(); //当前正在执行的AsyncTask任务 Runnable mActive; public synchronized void execute(final Runnable r) { //将新的AsyncTask任务加入到双向队列中 mTasks.offer(new Runnable() { public void run() { try { //执行AsyncTask任务 r.run(); } finally { //当前AsyncTask任务执行完毕后,进行下一轮执行,如果还有未执行任务的话 //这一点很明显体现了AsyncTask是串行执行任务的,总是一个任务执行完毕才会执行下一个任务 scheduleNext(); } } }); if (mActive == null) { //如果当前没有任务在执行,直接进入执行逻辑 scheduleNext(); } } protected synchronized void scheduleNext() { if ((mActive = mTasks.poll()) != null) { //从任务队列中取出队列头部的任务,如果有就交给并发线程池去执行 THREAD_POOL_EXECUTOR.execute(mActive); } } } /** * Indicates the current status of the task. Each status will be set only once * during the lifetime of a task. */ /** * 任务的三种状态 */ public enum Status { /** 任务等待执行 * Indicates that the task has not been executed yet. */ PENDING, /**任务正在执行 * Indicates that the task is running. */ RUNNING, /**任务已经执行结束 * Indicates that {@link AsyncTask#onPostExecute} has finished. */ FINISHED, } /** @hide Used to force static handler to be created. * 隐藏API:在UI线程中调用,用来初始化Handler * */ public static void init() { // sHandler.getLooper(); } /** @hide 为AsyncTask设置默认执行器*/ public static void setDefaultExecutor(Executor exec) { sDefaultExecutor = exec; } /** * Creates a new asynchronous task. This constructor must be invoked on the UI thread. */ 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); } } }; } private void postResultIfNotInvoked(Result result) { final boolean wasTaskInvoked = mTaskInvoked.get(); if (!wasTaskInvoked) { postResult(result); } } private Result postResult(Result result) { @SuppressWarnings("unchecked") Message message = sHandler.obtainMessage(MESSAGE_POST_RESULT, new AsyncTaskResult<Result>(this, result)); message.sendToTarget(); return result; } /** * Returns the current status of this task. * * @return The current status. */ public final Status getStatus() { return mStatus; } /** * Override this method to perform a computation on a background thread. The * specified parameters are the parameters passed to {@link #execute} * by the caller of this task. * * This method can call {@link #publishProgress} to publish updates * on the UI thread. * * @param params The parameters of the task. * * @return A result, defined by the subclass of this task. * * @see #onPreExecute() * @see #onPostExecute * @see #publishProgress */ protected abstract Result doInBackground(Params... params); /** * Runs on the UI thread before {@link #doInBackground}. * * @see #onPostExecute * @see #doInBackground */ protected void onPreExecute() { } /** * <p>Runs on the UI thread after {@link #doInBackground}. The * specified result is the value returned by {@link #doInBackground}.</p> * * <p>This method won't be invoked if the task was cancelled.</p> * * @param result The result of the operation computed by {@link #doInBackground}. * * @see #onPreExecute * @see #doInBackground * @see #onCancelled(Object) */ @SuppressWarnings({"UnusedDeclaration"}) protected void onPostExecute(Result result) { } /** * Runs on the UI thread after {@link #publishProgress} is invoked. * The specified values are the values passed to {@link #publishProgress}. * * @param values The values indicating progress. * * @see #publishProgress * @see #doInBackground */ @SuppressWarnings({"UnusedDeclaration"}) protected void onProgressUpdate(Progress... values) { } /** * <p>Runs on the UI thread after {@link #cancel(boolean)} is invoked and * {@link #doInBackground(Object[])} has finished.</p> * * <p>The default implementation simply invokes {@link #onCancelled()} and * ignores the result. If you write your own implementation, do not call * <code>super.onCancelled(result)</code>.</p> * * @param result The result, if any, computed in * {@link #doInBackground(Object[])}, can be null * * @see #cancel(boolean) * @see #isCancelled() */ @SuppressWarnings({"UnusedParameters"}) protected void onCancelled(Result result) { onCancelled(); } /** * <p>Applications should preferably override {@link #onCancelled(Object)}. * This method is invoked by the default implementation of * {@link #onCancelled(Object)}.</p> * * <p>Runs on the UI thread after {@link #cancel(boolean)} is invoked and * {@link #doInBackground(Object[])} has finished.</p> * * @see #onCancelled(Object) * @see #cancel(boolean) * @see #isCancelled() */ protected void onCancelled() { } /** * Returns <tt>true</tt> if this task was cancelled before it completed * normally. If you are calling {@link #cancel(boolean)} on the task, * the value returned by this method should be checked periodically from * {@link #doInBackground(Object[])} to end the task as soon as possible. * * @return <tt>true</tt> if task was cancelled before it completed * * @see #cancel(boolean) */ public final boolean isCancelled() { return mCancelled.get(); } /** * <p>Attempts to cancel execution of this task. This attempt will * fail if the task has already completed, already been cancelled, * or could not be cancelled for some other reason. If successful, * and this task has not started when <tt>cancel</tt> is called, * this task should never run. If the task has already started, * then the <tt>mayInterruptIfRunning</tt> parameter determines * whether the thread executing this task should be interrupted in * an attempt to stop the task.</p> * * <p>Calling this method will result in {@link #onCancelled(Object)} being * invoked on the UI thread after {@link #doInBackground(Object[])} * returns. Calling this method guarantees that {@link #onPostExecute(Object)} * is never invoked. After invoking this method, you should check the * value returned by {@link #isCancelled()} periodically from * {@link #doInBackground(Object[])} to finish the task as early as * possible.</p> * * @param mayInterruptIfRunning <tt>true</tt> if the thread executing this * task should be interrupted; otherwise, in-progress tasks are allowed * to complete. * * @return <tt>false</tt> if the task could not be cancelled, * typically because it has already completed normally; * <tt>true</tt> otherwise * * @see #isCancelled() * @see #onCancelled(Object) */ public final boolean cancel(boolean mayInterruptIfRunning) { mCancelled.set(true); return mFuture.cancel(mayInterruptIfRunning); } /** * Waits if necessary for the computation to complete, and then * retrieves its result. * * @return The computed result. * * @throws CancellationException If the computation was cancelled. * @throws ExecutionException If the computation threw an exception. * @throws InterruptedException If the current thread was interrupted * while waiting. */ public final Result get() throws InterruptedException, ExecutionException { return mFuture.get(); } /** * Waits if necessary for at most the given time for the computation * to complete, and then retrieves its result. * * @param timeout Time to wait before cancelling the operation. * @param unit The time unit for the timeout. * * @return The computed result. * * @throws CancellationException If the computation was cancelled. * @throws ExecutionException If the computation threw an exception. * @throws InterruptedException If the current thread was interrupted * while waiting. * @throws TimeoutException If the wait timed out. */ public final Result get(long timeout, TimeUnit unit) throws InterruptedException, ExecutionException, TimeoutException { return mFuture.get(timeout, unit); } /** * Executes the task with the specified parameters. The task returns * itself (this) so that the caller can keep a reference to it. * * <p>Note: this function schedules the task on a queue for a single background * thread or pool of threads depending on the platform version. When first * introduced, AsyncTasks were executed serially on a single background thread. * Starting with {@link android.os.Build.VERSION_CODES#DONUT}, this was changed * to a pool of threads allowing multiple tasks to operate in parallel. Starting * {@link android.os.Build.VERSION_CODES#HONEYCOMB}, tasks are back to being * executed on a single thread to avoid common application errors caused * by parallel execution. If you truly want parallel execution, you can use * the {@link #executeOnExecutor} version of this method * with {@link #THREAD_POOL_EXECUTOR}; however, see commentary there for warnings * on its use. * * <p>This method must be invoked on the UI thread. * * @param params The parameters of the task. * * @return This instance of AsyncTask. * * @throws IllegalStateException If {@link #getStatus()} returns either * {@link AsyncTask.Status#RUNNING} or {@link AsyncTask.Status#FINISHED}. * * @see #executeOnExecutor(java.util.concurrent.Executor, Object[]) * @see #execute(Runnable) */ /** * 这个方法如何执行和系统版本有关,在AsyncTask的使用规则里已经说明,如果你真的想使用并行AsyncTask, * 也是可以的,只要稍作修改 * 必须在UI线程调用此方法 */ public final AsyncTask<Params, Progress, Result> execute(Params... params) { //串行执行 return executeOnExecutor(sDefaultExecutor, params); //如果我们想并行执行,这样改就行了,当然这个方法我们没法改 //return executeOnExecutor(THREAD_POOL_EXECUTOR, params); } /** * Executes the task with the specified parameters. The task returns * itself (this) so that the caller can keep a reference to it. * * <p>This method is typically used with {@link #THREAD_POOL_EXECUTOR} to * allow multiple tasks to run in parallel on a pool of threads managed by * AsyncTask, however you can also use your own {@link Executor} for custom * behavior. * * <p><em>Warning:</em> Allowing multiple tasks to run in parallel from * a thread pool is generally <em>not</em> what one wants, because the order * of their operation is not defined. For example, if these tasks are used * to modify any state in common (such as writing a file due to a button click), * there are no guarantees on the order of the modifications. * Without careful work it is possible in rare cases for the newer version * of the data to be over-written by an older one, leading to obscure data * loss and stability issues. Such changes are best * executed in serial; to guarantee such work is serialized regardless of * platform version you can use this function with {@link #SERIAL_EXECUTOR}. * * <p>This method must be invoked on the UI thread. * * @param exec The executor to use. {@link #THREAD_POOL_EXECUTOR} is available as a * convenient process-wide thread pool for tasks that are loosely coupled. * @param params The parameters of the task. * * @return This instance of AsyncTask. * * @throws IllegalStateException If {@link #getStatus()} returns either * {@link AsyncTask.Status#RUNNING} or {@link AsyncTask.Status#FINISHED}. * * @see #execute(Object[]) */ /** * 通过这个方法我们可以自定义AsyncTask的执行方式,串行or并行,甚至可以采用自己的Executor * 为了实现并行,我们可以在外部这么用AsyncTask: * asyncTask.executeOnExecutor(AsyncTask.THREAD_POOL_EXECUTOR, Params... params); * 必须在UI线程调用此方法 */ 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; } /** * Convenience version of {@link #execute(Object...)} for use with * a simple Runnable object. See {@link #execute(Object[])} for more * information on the order of execution. * * @see #execute(Object[]) * @see #executeOnExecutor(java.util.concurrent.Executor, Object[]) *//** * 这是AsyncTask提供的一个静态方法,方便我们直接执行一个runnable */ public static void execute(Runnable runnable) { sDefaultExecutor.execute(runnable); } /** * This method can be invoked from {@link #doInBackground} to * publish updates on the UI thread while the background computation is * still running. Each call to this method will trigger the execution of * {@link #onProgressUpdate} on the UI thread. * * {@link #onProgressUpdate} will note be called if the task has been * canceled. * * @param values The progress values to update the UI with. * * @see #onProgressUpdate * @see #doInBackground */ protected final void publishProgress(Progress... values) { if (!isCancelled()) { sHandler.obtainMessage(MESSAGE_POST_PROGRESS, new AsyncTaskResult<Progress>(this, values)).sendToTarget(); } } private void finish(Result result) { if (isCancelled()) { onCancelled(result); } else { onPostExecute(result); } mStatus = Status.FINISHED; } //AsyncTask内部Handler,用来发送后台计算进度更新消息和计算完成消息 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; } } } private static abstract class WorkerRunnable<Params, Result> implements Callable<Result> { Params[] mParams; } @SuppressWarnings({"RawUseOfParameterizedType"}) private static class AsyncTaskResult<Data> { final AsyncTask mTask; final Data[] mData; AsyncTaskResult(AsyncTask task, Data... data) { mTask = task; mData = data; } } }2、Thread+Handler模式
标签:线程池 并发 asynctask android 多线程
原文地址:http://blog.csdn.net/andywuchuanlong/article/details/44217463