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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>秋过冬漫长</title>
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="description" content="java">
<meta name="keywords" content="技术博客">
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<a href="/" id="logo">秋过冬漫长</a>
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<a href="/" id="subtitle">没有比脚更长的路，走过去，前面是个天！</a>
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<article id="post-【DNS】DNS的架构" class="h-entry article article-type-post" itemprop="blogPost" itemscope itemtype="https://schema.org/BlogPosting">
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<article id="post-【Cloudflare】使用 cloudflare tunnel" class="h-entry article article-type-post" itemprop="blogPost" itemscope itemtype="https://schema.org/BlogPosting">
<div class="article-inner">
<header class="article-header">
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<a class="p-name article-title" href="/article/20250113.html">使用 cloudflare tunnel</a>
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<time class="dt-published" datetime="2025-01-13T11:54:06.000Z" itemprop="datePublished">2025年01月13日</time>
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<p>使用 cloudflare tunnel</p>
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<ul class="article-tag-list" itemprop="keywords"><li class="article-tag-list-item"><a class="article-tag-list-link" href="/tags/cloudflare/" rel="tag">cloudflare</a></li><li class="article-tag-list-item"><a class="article-tag-list-link" href="/tags/tunnel/" rel="tag">tunnel</a></li></ul>
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<article id="post-【Spring】缓存注解@Cacheable、@CacheEvict、@CachePut使用" class="h-entry article article-type-post" itemprop="blogPost" itemscope itemtype="https://schema.org/BlogPosting">
<div class="article-inner">
<header class="article-header">
<h1 itemprop="name">
<a class="p-name article-title" href="/article/20240525.html">【Spring】缓存注解@Cacheable、@CacheEvict、@CachePut使用</a>
</h1>
</header>
<div class="article-meta">
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<i class="fa fa-date"></i>
<time class="dt-published" datetime="2024-05-25T11:54:06.000Z" itemprop="datePublished">2024年05月25日</time>
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<p>Spring Cache 通过封装统一的缓存抽象层，支持多种缓存实现（如Ehcache、Redis、Caffeine等）。可以使用注解@Cacheable、@CacheEvict、@CachePut等优雅的进行使用，无需修改业务代码。</p>
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<article id="post-【MySQL】索引失效的场景" class="h-entry article article-type-post" itemprop="blogPost" itemscope itemtype="https://schema.org/BlogPosting">
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<header class="article-header">
<h1 itemprop="name">
<a class="p-name article-title" href="/article/20240522.html">【MySQL】索引失效的场景</a>
</h1>
</header>
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<i class="fa fa-date"></i>
<time class="dt-published" datetime="2024-05-22T11:54:06.000Z" itemprop="datePublished">2024年05月22日</time>
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<a class="article-category-link" href="/categories/MySQL/">MySQL</a>
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<p>今天我们讨论一下数据库索引在什么情况下会失效，总的来说有以下几种场景</p>
<ol>
<li>在索引列上加函数运算</li>
<li>组合索引中，不符合最左匹配原则</li>
<li>当索引列存在隐式转化的时候</li>
<li>使用like通配符匹配后缀%xxx的时候</li>
<li>使用or连接查询的时候，or语句前后没有同时使用索引</li>
</ol>
</div>
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<article id="post-【Docker】容器的本质" class="h-entry article article-type-post" itemprop="blogPost" itemscope itemtype="https://schema.org/BlogPosting">
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<header class="article-header">
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<a class="p-name article-title" href="/article/20240430.html">【Docker】容器的本质</a>
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<time class="dt-published" datetime="2024-04-30T11:54:06.000Z" itemprop="datePublished">2024年04月30日</time>
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<p>一个正在运行的 Docker 容器，其实就是一个启用了多个 Linux Namespace 的应用进程，而这个进程能够使用的资源量，则受 Cgroups 配置的限制。</p>
<p>下面通过一个小实验证明这句话</p>
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<article id="post-【事务处理】分布式事务" class="h-entry article article-type-post" itemprop="blogPost" itemscope itemtype="https://schema.org/BlogPosting">
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<a class="p-name article-title" href="/article/20240127.html">【事务处理】分布式事务</a>
</h1>
</header>
<div class="article-meta">
<span class="article-date">
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<time class="dt-published" datetime="2024-01-27T11:54:06.000Z" itemprop="datePublished">2024年01月27日</time>
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<a class="article-category-link" href="/categories/%E4%BA%8B%E5%8A%A1%E5%A4%84%E7%90%86/">事务处理</a>
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<p>可以按照服务的数量以及对应的数据源的使用数量来划分分布式事务，例如单个服务使用多数据源称作全局事务可以使用2、3段提交，多个服务使用单数据源则称作共享事务可以使用共享数据库连接，还有一种就是多服务多数据源，这种一般称作在分布式服务环境下的事务处理机制。</p>
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<article id="post-【技术分享】Spring声明式事务的正确使用" class="h-entry article article-type-post" itemprop="blogPost" itemscope itemtype="https://schema.org/BlogPosting">
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<a class="p-name article-title" href="/article/20240118.html">【技术分享】Spring声明式事务的正确使用</a>
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<time class="dt-published" datetime="2024-01-18T11:54:06.000Z" itemprop="datePublished">2024年01月18日</time>
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<p>大家肯定对@Transactional这个注解很熟悉，也对事务有着详细的了解，也知道多个数据库操作需要通过事务来保证一致性和原子性。但是很少会关注事务是否生效、有没有出错。这类问题也比较难在测试阶段发现，当出现线上问题的时候不可避免的会产生大量脏数据。所以这次我分享的内容就是帮助大家理清楚使用@Transactional的思路，避免使用不当产生bug。</p>
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<p>本文介绍如果通过搭建ELK收集springboot的日志。</p>
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<article id="post-【技术分享】优化延迟队列任务消费时间的技术分享" class="h-entry article article-type-post" itemprop="blogPost" itemscope itemtype="https://schema.org/BlogPosting">
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<a class="p-name article-title" href="/article/20231019.html">【技术分享】优化延迟队列任务消费时间的技术分享</a>
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<time class="dt-published" datetime="2023-10-19T11:54:06.000Z" itemprop="datePublished">2023年10月19日</time>
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<p>延迟队列在实际应用中是一项重要的技术，可以用于任务调度、定时提醒、消息重试等多种场景。然而，延迟队列的任务有时会在过期时间之后才得以执行，这可能导致应用程序的性能问题和不确定性。在本技术分享中，我将介绍一个优化延迟队列任务消费时间的解决方案，以及如何实现这一解决方案。</p>
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<h3 id="消息引擎系统介绍"><a href="#消息引擎系统介绍" class="headerlink" title="消息引擎系统介绍"></a>消息引擎系统介绍</h3><ol>
<li><p>Apache Kafka是一款开源的消息引擎系统。根据维基百科的定义，消息引擎系统是一组规范。企业利用这组规范在不同系统之间传递语义准确的消息，实现松耦合的异步式数据传递。通俗来讲，就是系统A发送消息到消息引擎系统，系统B从消息引擎系统中读取A发送的消息。</p>
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<li><p>消息引擎系统要设定具体的传输协议，常见的有2种：点对点模型；发布订阅模型。Kafka同事支持这两种。</p>
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<li><p>主要作用是削峰填谷，避免下游系统因突发流量而崩溃。</p>
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