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href="#_1-3-使用-grafana-查看监控数据">1.3 使用 Grafana 查看监控数据</a></li><li><ul class="vp-toc-list"><!--[--><li class="vp-toc-item"><a class="route-link vp-toc-link level3" href="#_1-3-1-step1-grafana-安装、配置与启动">1.3.1 Step1：Grafana 安装、配置与启动</a></li><!----><!--]--><!--[--><li class="vp-toc-item"><a class="route-link vp-toc-link level3" href="#_1-3-2-step2-导入-iotdb-监控看板">1.3.2 Step2：导入 IoTDB 监控看板</a></li><!----><!--]--><!--[--><li class="vp-toc-item"><a class="route-link vp-toc-link level3" href="#_1-3-3-step3-创建新的-dashboard-进行数据可视化">1.3.3 Step3：创建新的 Dashboard 进行数据可视化</a></li><!----><!--]--></ul></li><!--]--></ul><div class="vp-toc-marker" style="top:-1.7rem;"></div></div><!--[--><!----><!--]--></aside></div><!--[--><!----><!--]--><div class="theme-hope-content"><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><ol><li>IoTDB：1.0 版本及以上，可以前往官网下载：<a href="https://iotdb.apache.org/Download/" target="_blank" rel="noopener noreferrer">https://iotdb.apache.org/Download/<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">open in new window</span></span></a></li><li>Prometheus：2.30.3 版本及以上，可以前往官网下载：<a href="https://prometheus.io/download/" target="_blank" rel="noopener noreferrer">https://prometheus.io/download/<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">open in new window</span></span></a></li><li>Grafana：8.4.2 版本及以上，可以前往官网下载：<a href="https://grafana.com/grafana/download" target="_blank" rel="noopener noreferrer">https://grafana.com/grafana/download<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">open in new window</span></span></a></li><li>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</li></ol><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>
<span class="token key attr-name">cn_metric_level</span><span class="token punctuation">=</span><span class="token value attr-value">IMPORTANT</span>
<span class="token key attr-name">cn_metric_prometheus_reporter_port</span><span class="token punctuation">=</span><span class="token value attr-value">9091</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><ol start="3"><li>运行脚本启动 ConfigNode：<code>./sbin/start-confignode.sh</code>，出现如下提示则为启动成功：</li></ol><figure><img src="https://spricoder.oss-cn-shanghai.aliyuncs.com/Apache IoTDB/metric/cluster-introduce/1.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="4"><li>在浏览器进入<a href="http://localhost:9091/metrics%E7%BD%91%E5%9D%80%EF%BC%8C%E5%8F%AF%E4%BB%A5%E6%9F%A5%E7%9C%8B%E5%88%B0%E5%A6%82%E4%B8%8B%E7%9A%84%E7%9B%91%E6%8E%A7%E9%A1%B9%E4%BF%A1%E6%81%AF%EF%BC%9A" target="_blank" rel="noopener noreferrer">http://localhost:9091/metrics网址，可以查看到如下的监控项信息：<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">open in new window</span></span></a></li></ol><figure><img src="https://spricoder.oss-cn-shanghai.aliyuncs.com/Apache IoTDB/metric/cluster-introduce/2.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="5"><li>同样地，另外两个 ConfigNode 节点可以分别配置到 9092 和 9093 端口。</li></ol><h3 id="_1-1-3-启动-datanode" tabindex="-1"><a class="header-anchor" href="#_1-1-3-启动-datanode"><span>1.1.3 启动 DataNode</span></a></h3><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-datanode.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">dn_metric_reporter_list</span><span class="token punctuation">=</span><span class="token value attr-value">PROMETHEUS</span>
<span class="token key attr-name">dn_metric_level</span><span class="token punctuation">=</span><span class="token value attr-value">IMPORTANT</span>
<span class="token key attr-name">dn_metric_prometheus_reporter_port</span><span class="token punctuation">=</span><span class="token value attr-value">9094</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><ol start="3"><li>运行脚本启动 DataNode：<code>./sbin/start-datanode.sh</code>，出现如下提示则为启动成功：</li></ol><figure><img src="https://spricoder.oss-cn-shanghai.aliyuncs.com/Apache IoTDB/metric/cluster-introduce/3.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="4"><li>在浏览器进入<code>http://localhost:9094/metrics</code>网址，可以查看到如下的监控项信息：</li></ol><figure><img src="https://spricoder.oss-cn-shanghai.aliyuncs.com/Apache IoTDB/metric/cluster-introduce/4.png" alt="" tabindex="0" loading="lazy"><figcaption></figcaption></figure><ol start="5"><li>同样地，另外两个 DataNode 可以配置到 9095 和 9096 端口。</li></ol><h3 id="_1-1-4-说明" tabindex="-1"><a class="header-anchor" href="#_1-1-4-说明"><span>1.1.4 说明</span></a></h3><p>进行以下操作前请确认IoTDB集群已启动。</p><p>本文将在一台机器（3 个 ConfigNode 和 3 个 DataNode）环境上进行监控面板搭建，其他集群配置是类似的，用户可以根据自己的集群情况（ConfigNode 和 DataNode 的数量）进行配置调整。本文搭建的集群的基本配置信息如下表所示。</p><table><thead><tr><th>集群角色</th><th>节点IP</th><th>监控模块推送器</th><th>监控模块级别</th><th>监控 Port</th></tr></thead><tbody><tr><td>ConfigNode</td><td>127.0.0.1</td><td>PROMETHEUS</td><td>IMPORTANT</td><td>9091</td></tr><tr><td>ConfigNode</td><td>127.0.0.1</td><td>PROMETHEUS</td><td>IMPORTANT</td><td>9092</td></tr><tr><td>ConfigNode</td><td>127.0.0.1</td><td>PROMETHEUS</td><td>IMPORTANT</td><td>9093</td></tr><tr><td>DataNode</td><td>127.0.0.1</td><td>PROMETHEUS</td><td>IMPORTANT</td><td>9094</td></tr><tr><td>DataNode</td><td>127.0.0.1</td><td>PROMETHEUS</td><td>IMPORTANT</td><td>9095</td></tr><tr><td>DataNode</td><td>127.0.0.1</td><td>PROMETHEUS</td><td>IMPORTANT</td><td>9096</td></tr></tbody></table><h2 id="_1-2-配置-prometheus-采集监控指标" tabindex="-1"><a class="header-anchor" href="#_1-2-配置-prometheus-采集监控指标"><span>1.2 配置 Prometheus 采集监控指标</span></a></h2><ol><li>下载安装包。下载Prometheus的二进制包到本地，解压后进入对应文件夹：</li></ol><div class="language-Shell line-numbers-mode" data-ext="Shell" data-title="Shell"><pre class="language-Shell"><code>tar xvfz prometheus-*.tar.gz
cd prometheus-*
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div></div></div><ol start="2"><li>修改配置。修改Prometheus的配置文件prometheus.yml如下<br> a. 新增 confignode 任务收集 ConfigNode 的监控数据<br> b. 新增 datanode 任务收集 DataNode 的监控数据</li></ol><div class="language-YAML line-numbers-mode" data-ext="YAML" data-title="YAML"><pre class="language-YAML"><code>global:
  scrape_interval: 15s

scrape_configs:
  - job_name: &quot;prometheus&quot;
    static_configs:
    - targets: [&quot;localhost:9090&quot;]
  - job_name: &quot;confignode&quot;
    static_configs:
    - targets: [&quot;localhost:9091&quot;, &quot;localhost:9092&quot;, &quot;localhost:9093&quot;]
    honor_labels: true
  - job_name: &quot;datanode&quot;
    static_configs:
    - targets: [&quot;localhost:9094&quot;, &quot;localhost:9095&quot;, &quot;localhost:9096&quot;]
    honor_labels: true
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><ol start="3"><li>启动Promethues。Prometheus 监控数据的默认过期时间为 15d。在生产环境中，建议将其调整为 180d 以上，以对更长时间的历史监控数据进行追踪，启动命令如下所示：</li></ol><div class="language-Shell line-numbers-mode" data-ext="Shell" data-title="Shell"><pre class="language-Shell"><code>./prometheus --config.file=prometheus.yml --storage.tsdb.retention.time=180d
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ol start="4"><li>确认启动成功。在浏览器中输入 <a href="http://localhost:9090" target="_blank" rel="noopener noreferrer">http://localhost:9090<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">open in new window</span></span></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。</li></ol><p><img src="https://alioss.timecho.com/docs/img/1a.PNG" alt="" loading="lazy"><br><img src="https://alioss.timecho.com/docs/img/2a.PNG" alt="" loading="lazy"></p><h2 id="_1-3-使用-grafana-查看监控数据" tabindex="-1"><a class="header-anchor" href="#_1-3-使用-grafana-查看监控数据"><span>1.3 使用 Grafana 查看监控数据</span></a></h2><h3 id="_1-3-1-step1-grafana-安装、配置与启动" tabindex="-1"><a class="header-anchor" href="#_1-3-1-step1-grafana-安装、配置与启动"><span>1.3.1 Step1：Grafana 安装、配置与启动</span></a></h3><ol><li>下载Grafana的二进制包到本地，解压后进入对应文件夹：</li></ol><div class="language-Shell line-numbers-mode" data-ext="Shell" data-title="Shell"><pre class="language-Shell"><code>tar -zxvf grafana-*.tar.gz
cd grafana-*
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div></div></div><ol start="2"><li>启动Grafana并进入：</li></ol><div class="language-Shell line-numbers-mode" data-ext="Shell" data-title="Shell"><pre class="language-Shell"><code>./bin/grafana-server web 
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ol start="3"><li>在浏览器中输入 <a href="http://localhost:3000" target="_blank" rel="noopener noreferrer">http://localhost:3000<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">open in new window</span></span></a>，进入Grafana，默认初始用户名和密码均为 admin。</li><li>首先我们在 Configuration 中配置 Data Source 为 Prometheus</li></ol><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 &amp; 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></div><!--[--><!----><!--]--><footer class="vp-page-meta"><div class="vp-meta-item edit-link"><a 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