Merge "Adjust AsyncTask.THREAD_POOL_EXECUTOR config"

This commit is contained in:
Hans Boehm
2019-02-13 05:14:43 +00:00
committed by Gerrit Code Review

View File

@@ -21,13 +21,14 @@ import android.annotation.Nullable;
import android.annotation.WorkerThread;
import java.util.ArrayDeque;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.Callable;
import java.util.concurrent.CancellationException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Executor;
import java.util.concurrent.FutureTask;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.RejectedExecutionHandler;
import java.util.concurrent.SynchronousQueue;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
@@ -190,13 +191,19 @@ import java.util.concurrent.atomic.AtomicInteger;
public abstract class AsyncTask<Params, Progress, Result> {
private static final String LOG_TAG = "AsyncTask";
private static final int CPU_COUNT = Runtime.getRuntime().availableProcessors();
// We want at least 2 threads and at most 4 threads in the core pool,
// preferring to have 1 less than the CPU count to avoid saturating
// the CPU with background work
private static final int CORE_POOL_SIZE = Math.max(2, Math.min(CPU_COUNT - 1, 4));
private static final int MAXIMUM_POOL_SIZE = CPU_COUNT * 2 + 1;
private static final int KEEP_ALIVE_SECONDS = 30;
// We keep only a single pool thread around all the time.
// We let the pool grow to a fairly large number of threads if necessary,
// but let them time out quickly. In the unlikely case that we run out of threads,
// we fall back to a simple unbounded-queue executor.
// This combination ensures that:
// 1. We normally keep few threads (1) around.
// 2. We queue only after launching a significantly larger, but still bounded, set of threads.
// 3. We keep the total number of threads bounded, but still allow an unbounded set
// of tasks to be queued.
private static final int CORE_POOL_SIZE = 1;
private static final int MAXIMUM_POOL_SIZE = 20;
private static final int BACKUP_POOL_SIZE = 5;
private static final int KEEP_ALIVE_SECONDS = 3;
private static final ThreadFactory sThreadFactory = new ThreadFactory() {
private final AtomicInteger mCount = new AtomicInteger(1);
@@ -206,8 +213,29 @@ public abstract class AsyncTask<Params, Progress, Result> {
}
};
private static final BlockingQueue<Runnable> sPoolWorkQueue =
new LinkedBlockingQueue<Runnable>(128);
// Used only for rejected executions.
// Initialization protected by sRunOnSerialPolicy lock.
private static ThreadPoolExecutor sBackupExecutor;
private static LinkedBlockingQueue<Runnable> sBackupExecutorQueue;
private static final RejectedExecutionHandler sRunOnSerialPolicy =
new RejectedExecutionHandler() {
public void rejectedExecution(Runnable r, ThreadPoolExecutor e) {
android.util.Log.w(LOG_TAG, "Exceeded ThreadPoolExecutor pool size");
// As a last ditch fallback, run it on an executor with an unbounded queue.
// Create this executor lazily, hopefully almost never.
synchronized (this) {
if (sBackupExecutor == null) {
sBackupExecutorQueue = new LinkedBlockingQueue<Runnable>();
sBackupExecutor = new ThreadPoolExecutor(
BACKUP_POOL_SIZE, BACKUP_POOL_SIZE, KEEP_ALIVE_SECONDS,
TimeUnit.SECONDS, sBackupExecutorQueue, sThreadFactory);
sBackupExecutor.allowCoreThreadTimeOut(true);
}
}
sBackupExecutor.execute(r);
}
};
/**
* An {@link Executor} that can be used to execute tasks in parallel.
@@ -217,8 +245,8 @@ public abstract class AsyncTask<Params, Progress, Result> {
static {
ThreadPoolExecutor threadPoolExecutor = new ThreadPoolExecutor(
CORE_POOL_SIZE, MAXIMUM_POOL_SIZE, KEEP_ALIVE_SECONDS, TimeUnit.SECONDS,
sPoolWorkQueue, sThreadFactory);
threadPoolExecutor.allowCoreThreadTimeOut(true);
new SynchronousQueue<Runnable>(), sThreadFactory);
threadPoolExecutor.setRejectedExecutionHandler(sRunOnSerialPolicy);
THREAD_POOL_EXECUTOR = threadPoolExecutor;
}