看看源码
package org.springframework.scheduling.concurrent;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.Callable;
import java.util.concurrent.Executor;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Future;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.RejectedExecutionException;
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;
import org.springframework.core.task.AsyncListenableTaskExecutor;
import org.springframework.core.task.TaskRejectedException;
import org.springframework.scheduling.SchedulingTaskExecutor;
import org.springframework.util.Assert;
import org.springframework.util.concurrent.ListenableFuture;
import org.springframework.util.concurrent.ListenableFutureTask;
@SuppressWarnings("serial")
public class ThreadPoolTaskExecutor extends ExecutorConfigurationSupport
implements AsyncListenableTaskExecutor, SchedulingTaskExecutor {
private final Object poolSizeMonitor = new Object();
private int corePoolSize = 1;
private int maxPoolSize = Integer.MAX_VALUE;
private int keepAliveSeconds = 60;
private int queueCapacity = Integer.MAX_VALUE;
private boolean allowCoreThreadTimeOut = false;
private ThreadPoolExecutor threadPoolExecutor;
/**
* Set the ThreadPoolExecutor's core pool size.
* Default is 1.
* This setting can be modified at runtime, for example through JMX.
*/
public void setCorePoolSize(int corePoolSize) {
synchronized (this.poolSizeMonitor) {
this.corePoolSize = corePoolSize;
if (this.threadPoolExecutor != null) {
this.threadPoolExecutor.setCorePoolSize(corePoolSize);
}
}
}
/**
* Return the ThreadPoolExecutor's core pool size.
*/
public int getCorePoolSize() {
synchronized (this.poolSizeMonitor) {
return this.corePoolSize;
}
}
/**
* Set the ThreadPoolExecutor's maximum pool size.
* Default is {@code Integer.MAX_VALUE}.
*
This setting can be modified at runtime, for example through JMX.
*/
public void setMaxPoolSize(int maxPoolSize) {
synchronized (this.poolSizeMonitor) {
this.maxPoolSize = maxPoolSize;
if (this.threadPoolExecutor != null) {
this.threadPoolExecutor.setMaximumPoolSize(maxPoolSize);
}
}
}
/**
* Return the ThreadPoolExecutor's maximum pool size.
*/
public int getMaxPoolSize() {
synchronized (this.poolSizeMonitor) {
return this.maxPoolSize;
}
}
/**
* Set the ThreadPoolExecutor's keep-alive seconds.
* Default is 60.
*
This setting can be modified at runtime, for example through JMX.
*/
public void setKeepAliveSeconds(int keepAliveSeconds) {
synchronized (this.poolSizeMonitor) {
this.keepAliveSeconds = keepAliveSeconds;
if (this.threadPoolExecutor != null) {
this.threadPoolExecutor.setKeepAliveTime(keepAliveSeconds, TimeUnit.SECONDS);
}
}
}
/**
* Return the ThreadPoolExecutor's keep-alive seconds.
*/
public int getKeepAliveSeconds() {
synchronized (this.poolSizeMonitor) {
return this.keepAliveSeconds;
}
}
/**
* Set the capacity for the ThreadPoolExecutor's BlockingQueue.
* Default is {@code Integer.MAX_VALUE}.
*
Any positive value will lead to a LinkedBlockingQueue instance;
* any other value will lead to a SynchronousQueue instance.
* @see java.util.concurrent.LinkedBlockingQueue
* @see java.util.concurrent.SynchronousQueue
*/
public void setQueueCapacity(int queueCapacity) {
this.queueCapacity = queueCapacity;
}
/**
* Specify whether to allow core threads to time out. This enables dynamic
* growing and shrinking even in combination with a non-zero queue (since
* the max pool size will only grow once the queue is full).
*
Default is "false".
* @see java.util.concurrent.ThreadPoolExecutor#allowCoreThreadTimeOut(boolean)
*/
public void setAllowCoreThreadTimeOut(boolean allowCoreThreadTimeOut) {
this.allowCoreThreadTimeOut = allowCoreThreadTimeOut;
}
@Override
protected ExecutorService initializeExecutor(
ThreadFactory threadFactory, RejectedExecutionHandler rejectedExecutionHandler) {
BlockingQueue queue = createQueue(this.queueCapacity);
ThreadPoolExecutor executor = new ThreadPoolExecutor(
this.corePoolSize, this.maxPoolSize, this.keepAliveSeconds, TimeUnit.SECONDS,
queue, threadFactory, rejectedExecutionHandler);
if (this.allowCoreThreadTimeOut) {
executor.allowCoreThreadTimeOut(true);
}
this.threadPoolExecutor = executor;
return executor;
}
/**
* Create the BlockingQueue to use for the ThreadPoolExecutor.
* A LinkedBlockingQueue instance will be created for a positive
* capacity value; a SynchronousQueue else.
* @param queueCapacity the specified queue capacity
* @return the BlockingQueue instance
* @see java.util.concurrent.LinkedBlockingQueue
* @see java.util.concurrent.SynchronousQueue
*/
protected BlockingQueue createQueue(int queueCapacity) {
if (queueCapacity > 0) {
return new LinkedBlockingQueue(queueCapacity);
}
else {
return new SynchronousQueue();
}
}
/**
* Return the underlying ThreadPoolExecutor for native access.
* @return the underlying ThreadPoolExecutor (never {@code null})
* @throws IllegalStateException if the ThreadPoolTaskExecutor hasn't been initialized yet
*/
public ThreadPoolExecutor getThreadPoolExecutor() throws IllegalStateException {
Assert.state(this.threadPoolExecutor != null, "ThreadPoolTaskExecutor not initialized");
return this.threadPoolExecutor;
}
/**
* Return the current pool size.
* @see java.util.concurrent.ThreadPoolExecutor#getPoolSize()
*/
public int getPoolSize() {
if (this.threadPoolExecutor == null) {
// Not initialized yet: assume core pool size.
return this.corePoolSize;
}
return this.threadPoolExecutor.getPoolSize();
}
/**
* Return the number of currently active threads.
* @see java.util.concurrent.ThreadPoolExecutor#getActiveCount()
*/
public int getActiveCount() {
if (this.threadPoolExecutor == null) {
// Not initialized yet: assume no active threads.
return 0;
}
return this.threadPoolExecutor.getActiveCount();
}
@Override
public void execute(Runnable task) {
Executor executor = getThreadPoolExecutor();
try {
executor.execute(task);
}
catch (RejectedExecutionException ex) {
throw new TaskRejectedException("Executor [" + executor + "] did not accept task: " + task, ex);
}
}
@Override
public void execute(Runnable task, long startTimeout) {
execute(task);
}
@Override
public Future> submit(Runnable task) {
ExecutorService executor = getThreadPoolExecutor();
try {
return executor.submit(task);
}
catch (RejectedExecutionException ex) {
throw new TaskRejectedException("Executor [" + executor + "] did not accept task: " + task, ex);
}
}
@Override
public Future submit(Callable task) {
ExecutorService executor = getThreadPoolExecutor();
try {
return executor.submit(task);
}
catch (RejectedExecutionException ex) {
throw new TaskRejectedException("Executor [" + executor + "] did not accept task: " + task, ex);
}
}
@Override
public ListenableFuture> submitListenable(Runnable task) {
ExecutorService executor = getThreadPoolExecutor();
try {
ListenableFutureTask
属性字段说明
corePoolSize:线程池维护线程的最少数量
keepAliveSeconds:允许的空闲时间
maxPoolSize:线程池维护线程的最大数量
queueCapacity:缓存队列,默认值。Integer.MAX_VALUE;
从源码可以看出当值<0的是后就退化为
SynchronousQueue否则为LinkedBlockingQueue,
rejectedExecutionHandler:对拒绝task的处理策略
在实战开发中会用到自定义rejectedExecutionHandler,就是任务太多导致线程池中queue已经塞满的拒绝策略,spring提供了这么几个策略:
当然可以自定义拒绝策略和java中自定义的套路一样RejectExecutionHandler
还提供了比较有意思的几种机制:
同步:
execute(Runnable task)
execute(Runnable task, long startTimeout)
异步:
Future> submit(Runnable task)
Futuresubmit(Callable task)
异步回调;
ListenableFuture> submitListenable(Runnable task) ListenableFuturesubmitListenable(Callable task)