在常规的Android开发过程中,随着业务逻辑越来越复杂,调用栈可能会越来越深,难免会遇到调用栈越界的情况,这种情况下,就需要调整线程栈的大小。 当然,主要还是增大线程栈大
          在常规的Android开发过程中,随着业务逻辑越来越复杂,调用栈可能会越来越深,难免会遇到调用栈越界的情况,这种情况下,就需要调整线程栈的大小。
当然,主要还是增大线程栈大小,尤其是存在jni调用的情况下,C++层的栈开销有时候是非常恐怖的,比如说递归调用。
这就需要分三种情况,主线程,自定义线程池,AsyncTask。
主线程的线程栈是没有办法进行修改的,这个没办法处理。
针对线程池的情况,需要在创建线程的时候,调用构造函数
public Thread(@RecentlyNullable ThreadGroup group, @RecentlyNullable Runnable target, @RecentlyNonNull String name, long stackSize)
通过设置stackSize参数来解决问题。
参考代码如下:
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");
  // 工作线程堆栈大小调整为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();
      }
    }
  }
}
针对AsyncTask的情况,一般是通过调用
public final AsyncTask<Params, Progress, Result> executeOnExecutor(Executor exec, Params... params)
指定线程池来运行,在特定的线程池中调整线程栈的大小。
参考代码如下:
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();
      }
    }
  }
}
参考链接
- Increase AsyncTask stack size?
- StackOverFlowError: Stack size 1036KB in AsyncTask
- Android:增加调用堆栈大小
- AsyncTask和线程池
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