| import{_ as n,r as s,o as l,c as r,b as e,d as a,a as o,e as i}from"./app-Bp5kEZWW.js";const d={},c=i('<h1 id="_1-监控面板安装部署" tabindex="-1"><a class="header-anchor" href="#_1-监控面板安装部署"><span>1. 监控面板安装部署</span></a></h1><p>从 IoTDB 1.0 版本开始，我们引入了系统监控模块，可以完成对 IoTDB 的重要运行指标进行监控，本文介绍了如何在 IoTDB 分布式开启系统监控模块，并且使用 Prometheus + Grafana 的方式完成对系统监控指标的可视化。</p><h2 id="_1-1-前期准备" tabindex="-1"><a class="header-anchor" href="#_1-1-前期准备"><span>1.1 前期准备</span></a></h2><h3 id="_1-1-1-软件要求" tabindex="-1"><a class="header-anchor" href="#_1-1-1-软件要求"><span>1.1.1 软件要求</span></a></h3>',4),p={href:"https://iotdb.apache.org/Download/",target:"_blank",rel:"noopener noreferrer"},h={href:"https://prometheus.io/download/",target:"_blank",rel:"noopener noreferrer"},g={href:"https://grafana.com/grafana/download",target:"_blank",rel:"noopener noreferrer"},m=e("li",null,"IoTDB 监控面板：基于企业版IoTDB的数据库监控面板，您可联系商务获取",-1),u=i(`<h3 id="_1-1-2-启动-confignode" tabindex="-1"><a class="header-anchor" href="#_1-1-2-启动-confignode"><span>1.1.2 启动 ConfigNode</span></a></h3><blockquote><p>本文以 3C3D 为例</p></blockquote><ol><li>进入<code>iotdb-enterprise-1.3.x.x-bin</code>包</li><li>修改配置文件<code>conf/iotdb-confignode.properties</code>，修改如下配置，其他配置保持不变：</li></ol><div class="language-properties line-numbers-mode" data-ext="properties" data-title="properties"><pre class="language-properties"><code><span class="token key attr-name">cn_metric_reporter_list</span><span class="token punctuation">=</span><span class="token value attr-value">PROMETHEUS</span> |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div>`,7),T={start:"3"},k={href:"http://localhost:3000",target:"_blank",rel:"noopener noreferrer"},B=e("li",null,"首先我们在 Configuration 中配置 Data Source 为 Prometheus",-1),x=i('<figure><img src="https://alioss.timecho.com/docs/img/3a.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="5"><li>在配置 Data Source 时注意 Prometheus 所在的URL，配置好后点击Save & Test 出现 Data source is working 提示则为配置成功</li></ol><figure><img src="https://alioss.timecho.com/docs/img/4a.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><h3 id="_1-3-2-step2-导入-iotdb-监控看板" tabindex="-1"><a class="header-anchor" href="#_1-3-2-step2-导入-iotdb-监控看板"><span>1.3.2 Step2：导入 IoTDB 监控看板</span></a></h3><ol><li>进入 Grafana，选择 Dashboards 的 Browse</li></ol><figure><img src="https://alioss.timecho.com/docs/img/5a.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="2"><li>点击右侧 Import 按钮</li></ol><figure><img src="https://alioss.timecho.com/docs/img/6a.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="3"><li>选择一种方式导入 Dashboard<br> a. 上传本地已下载的 Dashboard 的 Json 文件<br> b. 将 Dashboard 的 Json 文件内容直接粘贴进入</li></ol><figure><img src="https://alioss.timecho.com/docs/img/7a.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol><li>选择 Dashboard 的 Prometheus 为刚刚配置好的 Data Source，然后点击 Import</li></ol><figure><img src="https://alioss.timecho.com/docs/img/8a.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="5"><li>之后进入 Apache ConfigNode Dashboard，就看到如下的监控面板</li></ol><figure><img src="https://alioss.timecho.com/docs/img/confignode.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="6"><li>同样，我们可以导入 Apache DataNode Dashboard，看到如下的监控面板：</li></ol><figure><img src="https://alioss.timecho.com/docs/img/datanode.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="7"><li>同样，我们可以导入 Apache Performance Overview Dashboard，看到如下的监控面板：</li></ol><figure><img src="https://alioss.timecho.com/docs/img/performance.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="8"><li>同样，我们可以导入 Apache System Overview Dashboard，看到如下的监控面板：</li></ol><figure><img src="https://alioss.timecho.com/docs/img/system.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><h3 id="_1-3-3-step3-创建新的-dashboard-进行数据可视化" tabindex="-1"><a class="header-anchor" href="#_1-3-3-step3-创建新的-dashboard-进行数据可视化"><span>1.3.3 Step3：创建新的 Dashboard 进行数据可视化</span></a></h3><ol><li>首先创建Dashboard，然后创建Panel</li></ol><figure><img src="https://alioss.timecho.com/docs/img/11a.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="2"><li>之后就可以在面板根据自己的需求对监控相关的数据进行可视化（所有相关的监控指标可以先在job中选择confignode/datanode筛选）</li></ol><figure><img src="https://alioss.timecho.com/docs/img/12a.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="3"><li>选择关注的监控指标可视化完成后，我们就得到了这样的面板：</li></ol><figure><img src="https://alioss.timecho.com/docs/img/13a.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure>',27);function I(N,S){const t=s("ExternalLinkIcon");return l(),r("div",null,[c,e("ol",null,[e("li",null,[a("IoTDB：1.0 版本及以上，可以前往官网下载："),e("a",p,[a("https://iotdb.apache.org/Download/"),o(t)])]),e("li",null,[a("Prometheus：2.30.3 版本及以上，可以前往官网下载："),e("a",h,[a("https://prometheus.io/download/"),o(t)])]),e("li",null,[a("Grafana：8.4.2 版本及以上，可以前往官网下载："),e("a",g,[a("https://grafana.com/grafana/download"),o(t)])]),m]),u,e("ol",f,[e("li",null,[a("在浏览器进入"),e("a",b,[a("http://localhost:9091/metrics网址，可以查看到如下的监控项信息："),o(t)])])]),_,e("ol",v,[e("li",null,[a("确认启动成功。在浏览器中输入 "),e("a",D,[a("http://localhost:9090"),o(t)]),a("，进入Prometheus，点击进入Status下的Target界面（如下图1），当看到State均为Up时表示配置成功并已经联通（如下图2），点击左侧链接可以跳转到网页监控。")])]),y,e("ol",T,[e("li",null,[a("在浏览器中输入 "),e("a",k,[a("http://localhost:3000"),o(t)]),a("，进入Grafana，默认初始用户名和密码均为 admin。")]),B]),x])}const A=n(d,[["render",I],["__file","Monitoring-Board-Install-and-Deploy.html.vue"]]),E=JSON.parse('{"path":"/zh/UserGuide/latest/Deployment-and-Maintenance/Monitoring-Board-Install-and-Deploy.html","title":"1. 监控面板安装部署","lang":"zh-CN","frontmatter":{"description":"1. 监控面板安装部署 从 IoTDB 1.0 版本开始，我们引入了系统监控模块，可以完成对 IoTDB 的重要运行指标进行监控，本文介绍了如何在 IoTDB 分布式开启系统监控模块，并且使用 Prometheus + Grafana 的方式完成对系统监控指标的可视化。 1.1 前期准备 1.1.1 软件要求 IoTDB：1.0 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