Android如何调整线程调用栈大小
时间：2021-09-02 10:07:10|栏目：Android代码|点击： 次
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
