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<h1>线程池</h1>
<div class="a-content">
<div class="a-content-text">
<div class="mweb_toc"><ul>
<li><a href="#%E7%BA%BF%E7%A8%8B%E6%B1%A0%E6%98%AF%E4%BB%80%E4%B9%88">线程池是什么</a></li>
<li><a href="#%E7%BA%BF%E7%A8%8B%E6%B1%A0%E8%A7%A3%E5%86%B3%E7%9A%84%E9%97%AE%E9%A2%98">线程池解决的问题</a></li>
<li><a href="#%E7%BA%BF%E7%A8%8B%E6%B1%A0%E8%BF%90%E8%A1%8C%E6%9C%BA%E5%88%B6">线程池运行机制</a></li>
<li><a href="#%E5%88%9B%E5%BB%BA%E7%BA%BF%E7%A8%8B%E6%B1%A0%E7%9A%84%E5%9B%9B%E7%A7%8D%E6%96%B9%E5%BC%8F">创建线程池的四种方式</a>
<ul>
<li><a href="#newcachedthreadpool">newCachedThreadPool</a></li>
<li><a href="#newfixedthreadpool">newFixedThreadPool</a></li>
<li><a href="#newscheduledthreadpool">newScheduledThreadPool</a></li>
<li><a href="#newsinglethreadexecutor">newSingleThreadExecutor</a></li>
</ul>
</li>
<li><a href="#%E7%BA%BF%E7%A8%8B%E6%B1%A0%E5%A4%A7%E5%B0%8F%E5%88%86%E9%85%8D">线程池大小分配</a></li>
</ul>
</div>
<h2><a id="%E7%BA%BF%E7%A8%8B%E6%B1%A0%E6%98%AF%E4%BB%80%E4%B9%88" class="anchor" aria-hidden="true"><span class="octicon octicon-link"></span></a>线程池是什么</h2>
<p>线程池是一种基于池化思想来管理线程的工具。<br />
使用线程池的好处：</p>
<ul>
<li>降低资源消耗：通过池化技术复用已经创建的线程，降低线程创建和销毁造成的损耗。</li>
<li>提高响应速度：任务到达时，无需等待线程创建即可执行。</li>
<li>提高线程的可管理性：使用线程池进行统一的分配、调优和监控。</li>
<li>提供更多更强大的功能：比如延时定时线程池ScheduledThreadPoolExecutor，就允许任务延期执行或定期执行。</li>
</ul>
<h2><a id="%E7%BA%BF%E7%A8%8B%E6%B1%A0%E8%A7%A3%E5%86%B3%E7%9A%84%E9%97%AE%E9%A2%98" class="anchor" aria-hidden="true"><span class="octicon octicon-link"></span></a>线程池解决的问题</h2>
<p>线程池解决的核心问题就是资源管理问题。<br />
1、频繁申请、销毁资源和调度资源，将带来额外的消耗，可能非常巨大。<br />
2、对资源无限申请，缺少抑制手段，易引发系统资源耗尽的风险。<br />
3、系统无法合理管理内部的资源分布，会降低系统的稳定性。</p>
<h2><a id="%E7%BA%BF%E7%A8%8B%E6%B1%A0%E8%BF%90%E8%A1%8C%E6%9C%BA%E5%88%B6" class="anchor" aria-hidden="true"><span class="octicon octicon-link"></span></a>线程池运行机制</h2>
<p><img src="http://hitol.blog.cdn.updev.cn/16023122966589.jpg" alt="16023122966589" /></p>
<details>
<summary>ThreadPoolExecutor构造方法</summary>
```
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;
}
```
</details>
<p>这几个核心参数的作用：</p>
<ul>
<li>corePoolSize：核心线程数，为线程池的基本大小。<strong>核心线程不会被回收</strong>，即使没有任务执行，也会保持空闲状态。</li>
<li>maximumPoolSize：为线程池最大线程大小。<strong>当线程运行数量达到corePoolSize，且workQueue队列塞满任务了之后</strong>，继续创建线程。</li>
<li>keepAliveTime 和 unit ：是超过corePoolSize之后的“临时线程”的存活时间。</li>
<li>workQueue：用于存放任务的阻塞队列。当前运行线程超过核心线程数时，新的任务会处于等待状态，存在workQueue中，BlockingQueue是一个阻塞式队列，相当于一个容器，生产者往里面放资源，消费者从里面拿资源。</li>
<li>handler：当队列和最大线程池都满了之后的饱和策略。</li>
</ul>
<p>阻塞队列：<br />
<img src="http://hitol.blog.cdn.updev.cn/16023150102703.jpg" alt="16023150102703" /></p>
<p>首先检测线程池运行状态，如果不是RUNNING，则直接拒绝，线程池要保证在RUNNING的状态下执行任务。</p>
<ul>
<li>如果workerCount < corePoolSize，则创建并启动一个线程来执行新提交的任务。</li>
<li>如果workerCount >= corePoolSize，且线程池内的阻塞队列未满，则将任务添加到该阻塞队列中。</li>
<li>如果workerCount >= corePoolSize && workerCount < maximumPoolSize，且线程池内的阻塞队列已满，则创建并启动一个线程来执行新提交的任务。</li>
<li>如果workerCount >= maximumPoolSize，并且线程池内的阻塞队列已满, 则根据拒绝策略来处理该任务, 默认的处理方式是直接抛异常。<br />
其执行流程如下图所示：</li>
</ul>
<p><img src="http://hitol.blog.cdn.updev.cn/16023179404989.jpg" alt="16023179404989" /></p>
<p>线程运行状态：<br />
<img src="http://hitol.blog.cdn.updev.cn/16023123528952.jpg" alt="16023123528952" /></p>
<p>拒绝策略<br />
<img src="http://hitol.blog.cdn.updev.cn/16023245427842.jpg" alt="16023245427842" /></p>
<h2><a id="%E5%88%9B%E5%BB%BA%E7%BA%BF%E7%A8%8B%E6%B1%A0%E7%9A%84%E5%9B%9B%E7%A7%8D%E6%96%B9%E5%BC%8F" class="anchor" aria-hidden="true"><span class="octicon octicon-link"></span></a>创建线程池的四种方式</h2>
<h3><a id="newcachedthreadpool" class="anchor" aria-hidden="true"><span class="octicon octicon-link"></span></a>newCachedThreadPool</h3>
<pre class="line-numbers"><code class="language-plain_text">public static ExecutorService newCachedThreadPool(ThreadFactory threadFactory) {
return new ThreadPoolExecutor(0, Integer.MAX_VALUE,
60L, TimeUnit.SECONDS,
new SynchronousQueue<Runnable>(),
threadFactory);
}
</code></pre>
<p>通过源码可以返现，这种方式创建的线程池，其核心线程数为0，最大线程数为 Integer 的最大值，线程存活时间 60s，还有这个 SynchronousQueue，这个队列没有存储空间，有任务提交后就必须去执行。</p>
<p>当有任务提交后，会去看有没有还存活的空闲线程，有的话让线程去执行任务，没有存活线程的话会立即创建线程执行该任务</p>
<p>弊端：<br />
并发量大了后线程创建的太多，导致 OOM</p>
<h3><a id="newfixedthreadpool" class="anchor" aria-hidden="true"><span class="octicon octicon-link"></span></a>newFixedThreadPool</h3>
<pre class="line-numbers"><code class="language-plain_text">public static ExecutorService newFixedThreadPool(int nThreads, ThreadFactory threadFactory) {
return new ThreadPoolExecutor(nThreads, nThreads,
0L, TimeUnit.MILLISECONDS,
new LinkedBlockingQueue<Runnable>(),
threadFactory);
}
</code></pre>
<p>核心线程数与最大线程数一样，空闲线程存活时间为0，有序队列。</p>
<p>当有任务提交时，该线程池始终以核心线程去执行，核心线程满了后进入队列等待，FIFO</p>
<p>弊端：<br />
因为队列容量无限大，可能会出现请求太多，出现 OOM</p>
<h3><a id="newscheduledthreadpool" class="anchor" aria-hidden="true"><span class="octicon octicon-link"></span></a>newScheduledThreadPool</h3>
<p>可以延迟处理，或者定时处理</p>
<pre class="line-numbers"><code class="language-plain_text">public ScheduledThreadPoolExecutor(int corePoolSize,
ThreadFactory threadFactory) {
super(corePoolSize, Integer.MAX_VALUE, 0, NANOSECONDS,
new DelayedWorkQueue(), threadFactory);
}
</code></pre>
<p>核心线程数可以指定，最大线程数是 Integer 最大值，空闲线程存存活时间为0，</p>
<h3><a id="newsinglethreadexecutor" class="anchor" aria-hidden="true"><span class="octicon octicon-link"></span></a>newSingleThreadExecutor</h3>
<pre class="line-numbers"><code class="language-plain_text">public static ExecutorService newSingleThreadExecutor() {
return new FinalizableDelegatedExecutorService
(new ThreadPoolExecutor(1, 1,
0L, TimeUnit.MILLISECONDS,
new LinkedBlockingQueue<Runnable>()));
}
</code></pre>
<p>最大线程数与核心线程数都是1，队列有序无限大，</p>
<p>可能导致OOM</p>
<h2><a id="%E7%BA%BF%E7%A8%8B%E6%B1%A0%E5%A4%A7%E5%B0%8F%E5%88%86%E9%85%8D" class="anchor" aria-hidden="true"><span class="octicon octicon-link"></span></a>线程池大小分配</h2>
<ul>
<li>
<p>IO 密集型<br />
指的是 CPU 运算能力较好<br />
CPU 核心数 * 2</p>
</li>
<li>
<p>CPU 密集型<br />
指的是，CPU 运算能力较差<br />
CPU 个数 +1</p>
</li>
<li>
<p>混合型</p>
</li>
<li>
<p>任务类型不同</p>
</li>
</ul>
<p>--<br />
现有一个线程池，参数corePoolSize = 5，maximumPoolSize = 10，BlockingQueue阻塞队列长度为5，此时有4个任务同时进来，问：线程池会创建几条线程？</p>
<p>如果4个任务还没处理完，这时又同时进来2个任务，问：线程池又会创建几条线程还是不会创建？</p>
<p>如果前面6个任务还是没有处理完，这时又同时进来5个任务，问：线程池又会创建几条线程还是不会创建？</p>
<p>--<br />
<a href="https://tech.meituan.com/2020/04/02/java-pooling-pratice-in-meituan.html">https://tech.meituan.com/2020/04/02/java-pooling-pratice-in-meituan.html</a><br />
<a href="http://objcoding.com/2019/04/11/threadpool-initial-parameters/">http://objcoding.com/2019/04/11/threadpool-initial-parameters/</a><br />
<a href="https://www.cnblogs.com/frankyou/p/10135212.html">https://www.cnblogs.com/frankyou/p/10135212.html</a><br />
<a href="https://www.cnblogs.com/NiceCui/p/11929396.html">https://www.cnblogs.com/NiceCui/p/11929396.html</a></p>
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<span class="date">2020/10/21 20:10 下午</span>
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