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<a href="/2020/09/20/gc-debug/" class="post-title-link" itemprop="url">tcp监听端口异常回收——golang gc踩坑实录</a>
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<h3 id="背景"><a href="#背景" class="headerlink" title="背景"></a>背景</h3><p>最近在开发一个golang reactor模型的网络库，底层采用epoll多路复用网络IO。我编写了一个测试脚本用于对程序进行压测，压测脚本的内容是运行一个tcp client，client会大批量的向server发送数据包，但是当我进行实测的时候，奇怪的现象发生了，一旦我运行一个压测脚本几秒后，其他后续的测试脚本就无法再与服务端建立连接，报错如下:</p>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">Error connecting: dial tcp 127.0.0.1:10101: connect: connection refused</span><br></pre></td></tr></table></figure>
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<a href="/2020/07/22/go-draw-designs/" class="post-title-link" itemprop="url">【译】Go2设计草案</a>
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<p>作为Go2设计过程的一部分，我们已经发布了以下三个主题的设计草案用于开启社区的讨论，它们分别是：泛型（generics）、错误处理（error handling）和错误值语义（error value semantics）。</p>
<p>从Go提案流程的意义上说，这些设计草案不是提案。它们是讨论的起点，最终的目标是产生足以被转化为实际建议的设计。</p>
<p>每个设计草案都附有“问题概述”。问题概述旨在提供问题的上下文；为实际的设计文档打下基础，其中当然会提供设计细节；并帮助设计和指导有关设计的讨论。它包含了背景、目标、非目标、设计约束、设计摘要、我们认为最需要关注的领域的简短讨论以及与以前方法的比较。</p>
<p>再次强调，这些是设计草案，而不是最终的方案。我们希望所有Go用户都能帮助我们改进他们并将其转变为Go提案。我们建立了一个Wiki页面来收集和组织有关每个Topic的反馈。请帮助我们使这些页面保持最新状态，包括添加指向您自己的反馈的链接。</p>
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<h3 id="序"><a href="#序" class="headerlink" title="序"></a>序</h3><p>NIO（Non-blocking I/O），是一种同步非阻塞的I/O模型，也是I/O多路复用的基础，是现今主流的大流量、高并发IO有效解决方案。</p>
<h3 id="五种IO模型"><a href="#五种IO模型" class="headerlink" title="五种IO模型"></a>五种IO模型</h3><p>在UNIX下，IO模式分为五类，分别是：阻塞式IO（bloking IO）、非阻塞式IO（non-blocking IO）、多路复用IO模型（multiplexing IO）、信号驱动IO模型（signal-driven IO）以及异步IO模型（asynchronous IO）。其中又以前三种模式最为常见。</p>
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<h3 id="序"><a href="#序" class="headerlink" title="序"></a>序</h3><p>最近在公司内部进行了一次以Nsq为主题的技术分享，经过稍许的整理，把PPT转作博文呈现。</p>
<h3 id="一、NSQ组件"><a href="#一、NSQ组件" class="headerlink" title="一、NSQ组件"></a>一、NSQ组件</h3><p><strong>nsqd</strong> ：<br> 一个负责接收、排队、转发消息到客户端的守护进程<br><strong>nsqlookupd</strong> ：<br> 管理拓扑信息并提供最终一致性的发现服务的守护进程<br><strong>nsqadmin</strong> ：<br> 一套 Web 用户界面，可实时查看集群的统计数据和执行各种各样的管理任务<br><strong>utilities</strong> ：<br> 常见基础功能、数据流处理工具，如 nsq_stat、nsq_tail、nsq_to_file、nsq_to_http、nsq_to_nsq、to_nsq</p>
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<a href="/2020/04/21/visitor/" class="post-title-link" itemprop="url">设计模式系列——访问者模式</a>
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<h4 id="一、基本概念"><a href="#一、基本概念" class="headerlink" title="一、基本概念"></a>一、基本概念</h4><p>访问者模式属于设计模式中的【行为型设计模式】，它将行为和具体的数据结构进行了分离。在23种设计模式中，它相对比较复杂，难理解。</p>
<h4 id="二、实现"><a href="#二、实现" class="headerlink" title="二、实现"></a>二、实现</h4><p>我们先不探究使用访问者模式的原因，简单来看看访问者模式的实现。<br>其实访问者模式就像它名字所形容的，可以比喻为多个客人对一个包含多个家庭成员的家庭进行访问，到访的客人会一次和家庭的每个成员进行寒暄，所以它的三个组成要素就是：<strong>客人</strong>、<strong>家庭</strong>、以及<strong>家庭成员</strong>。<br></p>
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<a href="/2020/04/16/nsq-priority/" class="post-title-link" itemprop="url">nsq优先队列——inFlightPqueue源码分析</a>
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<h3 id="一、优先队列（priority-queue）基本概念"><a href="#一、优先队列（priority-queue）基本概念" class="headerlink" title="一、优先队列（priority queue）基本概念"></a>一、优先队列（priority queue）基本概念</h3><p>在对inFlightPqueue进行分析之前，先简单介绍一下优先队列的概念。<br>我们都知道，队列是一种先进先出（FIFO）的数据结构。而优先队列不再遵循先入先出的原则，而是分为两种情况：<br>1、最大优先队列，无论入队顺序，当前最大的元素优先出队。<br>2、最小优先队列，无论入队顺序，当前最小的元素优先出队。</p>
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