线程池的基本使用
package com.shothook.test;
import lombok.AllArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import java.time.Duration;
import java.time.LocalDateTime;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.LinkedBlockingDeque;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
@Slf4j
public class ThreadPoolDemo {
public static void main(String[] args) {
ExecutorService threadPool = new ThreadPoolExecutor(10, 1000, 10, TimeUnit.SECONDS, new LinkedBlockingDeque<>(10));
LocalDateTime start = LocalDateTime.now();
for (int i = 0; i < 1000; i++) {
threadPool.submit(new Task(i));
}
LocalDateTime end = LocalDateTime.now();
Duration duration = Duration.between(start,end);
log.debug("submit task complete, takes time: {}", duration.getNano());
}
@AllArgsConstructor
@Slf4j
public static class Task implements Runnable {
private int i;
@Override
public void run() {
try {
TimeUnit.SECONDS.sleep(1);
} catch (InterruptedException e) {
e.printStackTrace();
}
log.debug("thread name: {}, to execute task: {}", Thread.currentThread().getName(), i);
}
}
}线程池的工作模式，简单来说如下所示：
主线程往缓冲队列中添加任务，线程池从队列中取任务并执行，当然，真实情况比这复杂的多，这个后面再详细分析，先有个概念就好。
创建线程池的各个参数的意义
线程池的构造函数：
public ThreadPoolExecutor(int corePoolSize,
int maximumPoolSize,
long keepAliveTime,
TimeUnit unit,
BlockingQueue<Runnable> workQueue,
ThreadFactory threadFactory,
RejectedExecutionHandler handler) {
if (corePoolSize < 0 ||
maximumPoolSize <= 0 ||
maximumPoolSize < corePoolSize ||
keepAliveTime < 0)
throw new IllegalArgumentException();
if (workQueue == null || threadFactory == null || handler == null)
throw new NullPointerException();
this.acc = System.getSecurityManager() == null ?
null :
AccessController.getContext();
this.corePoolSize = corePoolSize;
this.maximumPoolSize = maximumPoolSize;
this.workQueue = workQueue;
this.keepAliveTime = unit.toNanos(keepAliveTime);
this.threadFactory = threadFactory;
this.handler = handler;
}corePoolSize：核心线程数
maximumPoolSize：最大线程数，当往缓冲队列中增加任务，缓冲队列满时，会在corePoolSize的基础上继续新建线程，知道触发最大线程数
keepAliveTime：超过核心线程数的线程的存活时间，对超过存活时间的，线程池结束超时的空闲线程
unit：超过核心线程数的线程的存活时间对应的时间单位
workQueue：线程池的任务缓存队列
threadFactory：创建线程的工厂
handler：当到最大线程数，并且缓存队列满时，继续添加任务时的处理策略
线程池的状态
private final AtomicInteger ctl = new AtomicInteger(ctlOf(RUNNING, 0));
private static final int COUNT_BITS = Integer.SIZE - 3;
private static final int CAPACITY = (1 << COUNT_BITS) - 1;
private static final int RUNNING = -1 << COUNT_BITS;
private static final int SHUTDOWN = 0 << COUNT_BITS;
private static final int STOP = 1 << COUNT_BITS;
private static final int TIDYING = 2 << COUNT_BITS;
private static final int TERMINATED = 3 << COUNT_BITS;
private static int runStateOf(int c) { return c & ~CAPACITY; }//获取线程池的状态
private static int workerCountOf(int c) { return c & CAPACITY; }//获取线程池的线程数
private static int ctlOf(int rs, int wc) { return rs | wc; }//参数rs表示runState，参数wc表示workerCount，即根据runState和workerCount打包合并成ctlctl : 高三位保存线程池状态，低29位保存任务数。
线程池的创建
/**
* Executes the given task sometime in the future. The task
* may execute in a new thread or in an existing pooled thread.
* 在未来的某个时刻执行给定的任务。这个任务用一个新线程执行，或者用一个线程池中已经存在的线程执行
*
* If the task cannot be submitted for execution, either because this
* executor has been shutdown or because its capacity has been reached,
* the task is handled by the current {@code RejectedExecutionHandler}.
* 如果任务无法被提交执行，要么是因为这个Executor已经被shutdown关闭，要么是已经达到其容量上限，任务会被当前的RejectedExecutionHandler处理
*
* @param command the task to execute
* @throws RejectedExecutionException at discretion of
* {@code RejectedExecutionHandler}, if the task
* cannot be accepted for execution RejectedExecutionException是一个RuntimeException
* @throws NullPointerException if {@code command} is null
*/
public void execute(Runnable command) {
if (command == null)
throw new NullPointerException();
/*
* Proceed in 3 steps:
*
* 1. If fewer than corePoolSize threads are running, try to
* start a new thread with the given command as its first
* task. The call to addWorker atomically checks runState and
* workerCount, and so prevents false alarms that would add
* threads when it shouldn't, by returning false.
* 如果运行的线程少于corePoolSize，尝试开启一个新线程去运行command，command作为这个线程的第一个任务
*
* 2. If a task can be successfully queued, then we still need
* to double-check whether we should have added a thread
* (because existing ones died since last checking) or that
* the pool shut down since entry into this method. So we
* recheck state and if necessary roll back the enqueuing if
* stopped, or start a new thread if there are none.
* 如果任务成功放入队列，我们仍需要一个双重校验去确认是否应该新建一个线程（因为可能存在有些线程在我们上次检查后死了） 或者 从我们进入这个方法后，pool被关闭了
* 所以我们需要再次检查state，如果线程池停止了需要回滚入队列，如果池中没有线程了，新开启 一个线程
*
* 3. If we cannot queue task, then we try to add a new
* thread. If it fails, we know we are shut down or saturated
* and so reject the task.
* 如果无法将任务入队列（可能队列满了），需要新开区一个线程（自己：往maxPoolSize发展）
* 如果失败了，说明线程池shutdown 或者 饱和了，所以我们拒绝任务
*/
int c = ctl.get();
/**
* 1、如果当前线程数少于corePoolSize（可能是由于addWorker()操作已经包含对线程池状态的判断，如此处没加，而入workQueue前加了）
*/
if (workerCountOf(c) < corePoolSize) {
//addWorker()成功，返回
if (addWorker(command, true))
return;
/**
* 没有成功addWorker()，再次获取c（凡是需要再次用ctl做判断时，都会再次调用ctl.get()）
* 失败的原因可能是：
* 1、线程池已经shutdown，shutdown的线程池不再接收新任务
* 2、workerCountOf(c) < corePoolSize 判断后，由于并发，别的线程先创建了worker线程，导致workerCount>=corePoolSize
*/
c = ctl.get();
}
/**
* 2、如果线程池RUNNING状态，且入队列成功
*/
if (isRunning(c) && workQueue.offer(command)) {
int recheck = ctl.get();//再次校验位
/**
* 再次校验放入workerQueue中的任务是否能被执行
* 1、如果线程池不是运行状态了，应该拒绝添加新任务，从workQueue中删除任务
* 2、如果线程池是运行状态，或者从workQueue中删除任务失败（刚好有一个线程执行完毕，并消耗了这个任务），确保还有线程执行任务（只要有一个就够了）
*/
//如果再次校验过程中，线程池不是RUNNING状态，并且remove(command)--workQueue.remove()成功，拒绝当前command
if (! isRunning(recheck) && remove(command))
reject(command);
//如果当前worker数量为0，通过addWorker(null, false)创建一个线程，其任务为null
//为什么只检查运行的worker数量是不是0呢？？ 为什么不和corePoolSize比较呢？？
//只保证有一个worker线程可以从queue中获取任务执行就行了？？
//因为只要还有活动的worker线程，就可以消费workerQueue中的任务
else if (workerCountOf(recheck) == 0)
addWorker(null, false); //第一个参数为null，说明只为新建一个worker线程，没有指定firstTask
//第二个参数为true代表占用corePoolSize，false占用maxPoolSize
}
/**
* 3、如果线程池不是running状态 或者 无法入队列
* 尝试开启新线程，扩容至maxPoolSize，如果addWork(command, false)失败了，拒绝当前command
*/
else if (!addWorker(command, false))
reject(command);
}新建线程
private boolean addWorker(Runnable firstTask, boolean core) {
retry:
for (;;) {
int c = ctl.get();
int rs = runStateOf(c);//线程池状态
// Check if queue empty only if necessary.
// 线程池为SHUTDOWN状态，当前创建新线程的任务为空，并且线程池的队列不为空
if (rs >= SHUTDOWN &&
! (rs == SHUTDOWN &&
firstTask == null &&
! workQueue.isEmpty()))
return false;
for (;;) {
int wc = workerCountOf(c);
if (wc >= CAPACITY ||
wc >= (core ? corePoolSize : maximumPoolSize))
return false;
if (compareAndIncrementWorkerCount(c))
break retry;
c = ctl.get(); // Re-read ctl
if (runStateOf(c) != rs)
continue retry;
// else CAS failed due to workerCount change; retry inner loop
}
}
boolean workerStarted = false;
boolean workerAdded = false;
Worker w = null;
try {
w = new Worker(firstTask);
final Thread t = w.thread;
if (t != null) {
final ReentrantLock mainLock = this.mainLock;
mainLock.lock();
try {
// Recheck while holding lock.
// Back out on ThreadFactory failure or if
// shut down before lock acquired.
int rs = runStateOf(ctl.get());
if (rs < SHUTDOWN ||
(rs == SHUTDOWN && firstTask == null)) {
if (t.isAlive()) // precheck that t is startable
throw new IllegalThreadStateException();
workers.add(w);
int s = workers.size();
if (s > largestPoolSize)
largestPoolSize = s;
workerAdded = true;
}
} finally {
mainLock.unlock();
}
if (workerAdded) {
t.start();
workerStarted = true;
}
}
} finally {
if (! workerStarted)
addWorkerFailed(w);
}
return workerStarted;
}钩子
protected void beforeExecute(Thread t, Runnable r) { }
protected void afterExecute(Runnable r, Throwable t) { }