在常規的Android開發過程中，隨著業務邏輯越來越復雜，調用棧可能會越來越深，難免會遇到調用棧越界的情況，這種情況下，就需要調整線程棧的大小。

當然，主要還是增大線程棧大小，尤其是存在jni調用的情況下，C++層的棧開銷有時候是非常恐怖的，比如說遞歸調用。

這就需要分三種情況，主線程，自定義線程池，AsyncTask。

主線程的線程棧是沒有辦法進行修改的，這個沒辦法處理。

針對線程池的情況，需要在創建線程的時候，調用構造函數

public Thread(@RecentlyNullable ThreadGroup group, @RecentlyNullable Runnable target, @RecentlyNonNull String name, long stackSize)

通過設置stackSize參數來解決問題。

參考代碼如下：

import android.support.annotation.NonNull;import android.util.Log;import java.util.concurrent.ThreadFactory;/** * A ThreadFactory implementation which create new threads for the thread pool. */public class SimpleThreadFactory implements ThreadFactory { private static final String TAG = 'SimpleThreadFactory'; private final static ThreadGroup group = new ThreadGroup('SimpleThreadFactoryGroup'); // 工作線程堆棧大小調整為2MB private final static int workerStackSize = 2 * 1024 * 1024; @Override public Thread newThread(@NonNull final Runnable runnable) { final Thread thread = new Thread(group, runnable, 'PoolWorkerThread', workerStackSize); // A exception handler is created to log the exception from threads thread.setUncaughtExceptionHandler(new Thread.UncaughtExceptionHandler() { @Override public void uncaughtException(@NonNull Thread thread, @NonNull Throwable ex) {Log.e(TAG, thread.getName() + ' encountered an error: ' + ex.getMessage()); } }); return thread; }}

import android.support.annotation.AnyThread;import android.support.annotation.NonNull;import android.support.annotation.Nullable;import android.util.Log;import java.util.concurrent.BlockingQueue;import java.util.concurrent.Callable;import java.util.concurrent.ExecutorService;import java.util.concurrent.Future;import java.util.concurrent.LinkedBlockingQueue;import java.util.concurrent.ThreadPoolExecutor;import java.util.concurrent.TimeUnit;/** * A Singleton thread pool */public class ThreadPool { private static final String TAG = 'ThreadPool'; private static final int KEEP_ALIVE_TIME = 1; private static volatile ThreadPool sInstance = null; private static int NUMBER_OF_CORES = Runtime.getRuntime().availableProcessors(); private final ExecutorService mExecutor; private final BlockingQueue<Runnable> mTaskQueue; // Made constructor private to avoid the class being initiated from outside private ThreadPool() { // initialize a queue for the thread pool. New tasks will be added to this queue mTaskQueue = new LinkedBlockingQueue<>(); Log.d(TAG, 'Available cores: ' + NUMBER_OF_CORES); mExecutor = new ThreadPoolExecutor(NUMBER_OF_CORES, NUMBER_OF_CORES * 2, KEEP_ALIVE_TIME, TimeUnit.SECONDS, mTaskQueue, new SimpleThreadFactory()); } @NonNull @AnyThread public static ThreadPool getInstance() { if (null == sInstance) { synchronized (ThreadPool.class) {if (null == sInstance) { sInstance = new ThreadPool();} } } return sInstance; } private boolean isThreadPoolAlive() { return (null != mExecutor) && !mExecutor.isTerminated() && !mExecutor.isShutdown(); } @Nullable @AnyThread public <T> Future<T> submitCallable(@NonNull final Callable<T> c) { synchronized (this) { if (isThreadPoolAlive()) {return mExecutor.submit(c); } } return null; } @Nullable @AnyThread public Future<?> submitRunnable(@NonNull final Runnable r) { synchronized (this) { if (isThreadPoolAlive()) {return mExecutor.submit(r); } } return null; } /* Remove all tasks in the queue and stop all running threads */ @AnyThread public void shutdownNow() { synchronized (this) { mTaskQueue.clear(); if ((!mExecutor.isShutdown()) && (!mExecutor.isTerminated())) {mExecutor.shutdownNow(); } } }}

針對AsyncTask的情況，一般是通過調用

public final AsyncTask<Params, Progress, Result> executeOnExecutor(Executor exec, Params... params)

指定線程池來運行，在特定的線程池中調整線程棧的大小。

參考代碼如下：

import android.os.AsyncTask;import android.support.annotation.AnyThread;import android.support.annotation.NonNull;import android.util.Log;import java.util.concurrent.BlockingQueue;import java.util.concurrent.ExecutorService;import java.util.concurrent.LinkedBlockingQueue;import java.util.concurrent.ThreadPoolExecutor;import java.util.concurrent.TimeUnit;public abstract class AsyncTaskEx<Params, Progress, Result> extends AsyncTask<Params, Progress, Result> { private static final String TAG = 'AsyncTaskEx'; private static final int KEEP_ALIVE_TIME = 1; private static volatile ThreadPool sInstance = null; private static int NUMBER_OF_CORES = Runtime.getRuntime().availableProcessors(); private final ExecutorService mExecutor; private final BlockingQueue<Runnable> mTaskQueue; public AsyncTaskEx() { // initialize a queue for the thread pool. New tasks will be added to this queue mTaskQueue = new LinkedBlockingQueue<>(); Log.d(TAG, 'Available cores: ' + NUMBER_OF_CORES); mExecutor = new ThreadPoolExecutor(NUMBER_OF_CORES, NUMBER_OF_CORES * 2, KEEP_ALIVE_TIME, TimeUnit.SECONDS, mTaskQueue, new SimpleThreadFactory()); } public AsyncTask<Params, Progress, Result> executeAsync(@NonNull final Params... params) { return super.executeOnExecutor(mExecutor, params); } /* Remove all tasks in the queue and stop all running threads */ @AnyThread public void shutdownNow() { synchronized (this) { mTaskQueue.clear(); if ((!mExecutor.isShutdown()) && (!mExecutor.isTerminated())) {mExecutor.shutdownNow(); } } }}

參考鏈接

Increase AsyncTask stack size? StackOverFlowError: Stack size 1036KB in AsyncTask Android：增加調用堆棧大小 AsyncTask和線程池

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