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<link rel="icon" href="/images/favicon.ico"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta property="og:title" content="Arthas"><meta property="og:image:alt" content="Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas - alibaba/arthas: Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas"><meta property="og:image" content="/images/arthas_mate_image.png"><meta property="og:description" content="Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas - alibaba/arthas: Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas"><meta property="og:image:width" content="1200"><meta property="og:image:height" content="600"><meta property="twitter:image:src" content="/images/arthas_mate_image.png"><meta property="twitter:image:alt" content="Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas - alibaba/arthas: Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas"><meta itemprop="name" content="Arthas"><meta itemprop="image" content="/images/arthas_mate_image.png"><meta itemprop="description" content="Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas - alibaba/arthas: Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas"><script>
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</script><meta name="aes-config" content="pid=xux-opensource&user_type=101&uid=&username=&dim10=arthas"><script src="//g.alicdn.com/alilog/mlog/aplus_v2.js" id="beacon-aplus" exparams="clog=o&aplus&sidx=aplusSidx&ckx=aplusCkx"></script><script src="//g.alicdn.com/aes/??tracker/1.0.34/index.js,tracker-plugin-pv/2.4.5/index.js,tracker-plugin-event/1.2.5/index.js,tracker-plugin-jserror/1.0.13/index.js,tracker-plugin-api/1.1.14/index.js,tracker-plugin-perf/1.1.8/index.js,tracker-plugin-eventTiming/1.0.4/index.js"></script><title>如何使用arthas分析慢查询 | arthas</title><meta name="description" content="要使用Arthas分析慢查询，我们可以按照以下步骤操作，基于已有知识进行分析和指导：### 1. 确定慢查询场景首先，你需要明确应用中哪个或哪些部分存在慢查询问题。这通常涉及到具体业务逻辑或数据库查询。为了定位这些问题，你可能已经有了一些初步线索，比如用户反馈、日志记录的长时间响应等。### 2. ">
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</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div>例如，如果你怀疑<code>com.example.service.UserService</code>类中的<code>getUserInfo</code>方法执行缓慢，可以执行：<div class="language-bash ext-sh line-numbers-mode"><pre class="language-bash"><code>trace com.example.service.UserService getUserInfo <span class="token parameter variable">-n</span> <span class="token number">10</span> <span class="token parameter variable">--skipJDKMethod</span> <span class="token boolean">true</span>
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</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div>这将会显示执行时间最长的10次调用链路，同时跳过了JDK内部的方法，以便更专注于你的业务代码。</li></ul><h3 id="_3-分析trace结果" tabindex="-1"><a class="header-anchor" href="#_3-分析trace结果" aria-hidden="true">#</a> 3. 分析trace结果</h3><ul><li><strong>观察调用链路</strong>：通过<code>trace</code>命令的输出，你可以看到方法的调用次数、总耗时、平均耗时以及每次调用的详细堆栈信息。</li><li><strong>识别瓶颈</strong>：查找那些平均或最大耗时较高的方法调用，这些很可能是导致慢查询的根源。</li><li><strong>条件过滤</strong>：如果输出信息量大，可以使用<code>--condition</code>参数添加自定义条件来进一步筛选，比如仅追踪特定参数的调用。</li></ul><h3 id="_4-优化与验证" tabindex="-1"><a class="header-anchor" href="#_4-优化与验证" aria-hidden="true">#</a> 4. 优化与验证</h3><ul><li>根据<code>trace</code>的结果，针对性地优化代码或SQL查询，比如优化算法、调整索引、减少不必要的数据处理等。</li><li>优化后，重新使用Arthas的<code>trace</code>或<code>watch</code>(监视方法内部变量)命令验证是否解决了慢查询问题。</li></ul><h3 id="解释" tabindex="-1"><a class="header-anchor" href="#解释" aria-hidden="true">#</a> 解释</h3><p>通过上述步骤，<code>trace</code>命令提供了深入方法执行细节的能力，帮助你快速定位到慢查询的具体位置。结合实际业务逻辑和查询需求，进行相应的优化措施，最终达到提升系统性能的目的。</p><p>请注意，根据实际情况调整上述命令中的参数以适应不同的诊断需求。如果在使用过程中遇到权限或其他问题，请参照Arthas的官方文档或社区资源寻求解决方案。</p><p>[<a href="https://arthas.aliyun.com/doc/" target="_blank" rel="noopener noreferrer">Arthas官方文档<span><svg class="external-link-icon" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewbox="0 0 100 100" width="15" height="15"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path><polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg><span class="external-link-icon-sr-only">在新窗口打开</span></span></a> 提供了更多命令和使用场景的详细介绍，建议进一步学习以充分利用其功能。]</p><p>希望以上步骤能帮助你有效分析并解决慢查询问题。如果有其他关于Arthas使用的疑问，或者需要进一步的技术指导，请随时提问。</p><!----><h2 id="参考链接" tabindex="-1"><a class="header-anchor" href="#参考链接" aria-hidden="true">#</a> 参考链接 ：</h2><p>*专家经验：利用Arthas排查NoSuchMethodError</p><p>*专家经验：Arthas 介绍</p><p>*专家经验：Arthas 如何借助arthas诊断cpu过高的原因？</p><!----><h2 id="答疑服务说明" tabindex="-1"><a class="header-anchor" href="#答疑服务说明" aria-hidden="true">#</a> <!----></h2><p>本内容经由技术专家审阅的用户问答的镜像生成，我们提供了<!---->，在<!---->。您也可以访问 : <a href="https://answer.opensource.alibaba.com/docs/intro" target="_blank" rel="noopener noreferrer">全局专家答疑<span><svg class="external-link-icon" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewbox="0 0 100 100" width="15" height="15"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path><polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg><span class="external-link
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