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end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">应用编程接口</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">元数据操作</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">数据写入（数据更新）</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">数据删除</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">数据查询</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">运算符和函数</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">触发器</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable active"><!----><span class="title">监控告警</span><span class="arrow down"></span></button><ul class="sidebar-links"><li><!--[--><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html" class="router-link-active router-link-exact-active nav-link active sidebar-link sidebar-page active" aria-label="监控工具"><!---->监控工具<!----></a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_1-什么场景下会使用到监控" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="1. 什么场景下会使用到监控?"><!---->1. 什么场景下会使用到监控?<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_2-什么人需要使用监控" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="2. 什么人需要使用监控?"><!---->2. 什么人需要使用监控?<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_3-什么是监控指标" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="3. 什么是监控指标？"><!---->3. 什么是监控指标？<!----></a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_3-1-监控指标名词解释" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="3.1. 监控指标名词解释"><!---->3.1. 监控指标名词解释<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_3-2-监控指标对外获取数据格式" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="3.2. 监控指标对外获取数据格式"><!---->3.2. 监控指标对外获取数据格式<!----></a><ul class="sidebar-sub-headers"></ul></li></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_4-监控指标有哪些" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="4. 监控指标有哪些？"><!---->4. 监控指标有哪些？<!----></a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_4-1-core-级别监控指标" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="4.1. Core 级别监控指标"><!---->4.1. Core 级别监控指标<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_4-2-important-级别监控指标" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="4.2. Important 级别监控指标"><!---->4.2. Important 级别监控指标<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_4-3-normal-级别监控指标" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="4.3. Normal 级别监控指标"><!---->4.3. Normal 级别监控指标<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_4-4-all-级别监控指标" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="4.4. All 级别监控指标"><!---->4.4. All 级别监控指标<!----></a><ul class="sidebar-sub-headers"></ul></li></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_5-怎样获取这些系统监控" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="5. 怎样获取这些系统监控？"><!---->5. 怎样获取这些系统监控？<!----></a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_5-1-使用-jmx-方式" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="5.1. 使用 JMX 方式"><!---->5.1. 使用 JMX 方式<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_5-2-使用-prometheus-方式" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="5.2. 使用 Prometheus 方式"><!---->5.2. 使用 Prometheus 方式<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_5-3-使用-iotdb-方式" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="5.3. 使用 IoTDB 方式"><!---->5.3. 使用 IoTDB 方式<!----></a><ul class="sidebar-sub-headers"></ul></li></ul></li></ul><!--]--></li><li><!--[--><a href="/zh/UserGuide/V1.1.x/Monitor-Alert/Alerting.html" class="nav-link sidebar-link sidebar-page" aria-label="告警机制"><!---->告警机制<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li></ul></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">权限管理</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">运维工具</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">端云协同</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">系统集成</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">分布式</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">FAQ</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">参考</span><span class="arrow end"></span></button><!----></section></li></ul><!--[--><!----><!--]--></aside><!--[--><main class="page" id="main-content"><!--[--><!----><nav class="breadcrumb disable"></nav><div class="page-title"><h1><!---->监控告警</h1><div class="page-info"><!----><!----><!----><!----><span class="page-reading-time-info" aria-label="阅读时间"><svg xmlns="http://www.w3.org/2000/svg" class="icon timer-icon" viewBox="0 0 1024 1024" fill="currentColor" aria-label="timer icon"><path d="M799.387 122.15c4.402-2.978 7.38-7.897 7.38-13.463v-1.165c0-8.933-7.38-16.312-16.312-16.312H256.33c-8.933 0-16.311 7.38-16.311 16.312v1.165c0 5.825 2.977 10.874 7.637 13.592 4.143 194.44 97.22 354.963 220.201 392.763-122.204 37.542-214.893 196.511-220.2 389.397-4.661 5.049-7.638 11.651-7.638 19.03v5.825h566.49v-5.825c0-7.379-2.849-13.981-7.509-18.9-5.049-193.016-97.867-351.985-220.2-389.527 123.24-37.67 216.446-198.453 220.588-392.892zM531.16 450.445v352.632c117.674 1.553 211.787 40.778 211.787 88.676H304.097c0-48.286 95.149-87.382 213.728-88.676V450.445c-93.077-3.107-167.901-81.297-167.901-177.093 0-8.803 6.99-15.793 15.793-15.793 8.803 0 15.794 6.99 15.794 15.793 0 80.261 63.69 145.635 142.01 145.635s142.011-65.374 142.011-145.635c0-8.803 6.99-15.793 15.794-15.793s15.793 6.99 15.793 15.793c0 95.019-73.789 172.82-165.96 177.093z"></path></svg><span>大约 22 分钟</span><meta property="timeRequired" content="PT22M"></span><!----><!----></div><hr></div><div class="toc-place-holder"><aside id="toc"><!--[--><!----><!--]--><div class="toc-header">此页内容<button class="print-button" title="打印"><svg xmlns="http://www.w3.org/2000/svg" class="icon print-icon" viewBox="0 0 1024 1024" fill="currentColor" aria-label="print icon"><path d="M819.2 364.8h-44.8V128c0-17.067-14.933-32-32-32H281.6c-17.067 0-32 14.933-32 32v236.8h-44.8C145.067 364.8 96 413.867 96 473.6v192c0 59.733 49.067 108.8 108.8 108.8h44.8V896c0 17.067 14.933 32 32 32h460.8c17.067 0 32-14.933 32-32V774.4h44.8c59.733 0 108.8-49.067 108.8-108.8v-192c0-59.733-49.067-108.8-108.8-108.8zM313.6 160h396.8v204.8H313.6V160zm396.8 704H313.6V620.8h396.8V864zM864 665.6c0 25.6-19.2 44.8-44.8 44.8h-44.8V588.8c0-17.067-14.933-32-32-32H281.6c-17.067 0-32 14.933-32 32v121.6h-44.8c-25.6 0-44.8-19.2-44.8-44.8v-192c0-25.6 19.2-44.8 44.8-44.8h614.4c25.6 0 44.8 19.2 44.8 44.8v192z"></path></svg></button></div><div class="toc-wrapper"><ul class="toc-list"><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_1-什么场景下会使用到监控" class="router-link-active router-link-exact-active toc-link level2">1. 什么场景下会使用到监控?</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_2-什么人需要使用监控" class="router-link-active router-link-exact-active toc-link level2">2. 什么人需要使用监控?</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_3-什么是监控指标" class="router-link-active router-link-exact-active toc-link level2">3. 什么是监控指标？</a></li><ul class="toc-list"><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_3-1-监控指标名词解释" class="router-link-active router-link-exact-active toc-link level3">3.1. 监控指标名词解释</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_3-2-监控指标对外获取数据格式" class="router-link-active router-link-exact-active toc-link level3">3.2. 监控指标对外获取数据格式</a></li><!----><!--]--></ul><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_4-监控指标有哪些" class="router-link-active router-link-exact-active toc-link level2">4. 监控指标有哪些？</a></li><ul class="toc-list"><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_4-1-core-级别监控指标" class="router-link-active router-link-exact-active toc-link level3">4.1. Core 级别监控指标</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_4-2-important-级别监控指标" class="router-link-active router-link-exact-active toc-link level3">4.2. Important 级别监控指标</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_4-3-normal-级别监控指标" class="router-link-active router-link-exact-active toc-link level3">4.3. Normal 级别监控指标</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_4-4-all-级别监控指标" class="router-link-active router-link-exact-active toc-link level3">4.4. All 级别监控指标</a></li><!----><!--]--></ul><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_5-怎样获取这些系统监控" class="router-link-active router-link-exact-active toc-link level2">5. 怎样获取这些系统监控？</a></li><ul class="toc-list"><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_5-1-使用-jmx-方式" class="router-link-active router-link-exact-active toc-link level3">5.1. 使用 JMX 方式</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_5-2-使用-prometheus-方式" class="router-link-active router-link-exact-active toc-link level3">5.2. 使用 Prometheus 方式</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.html#_5-3-使用-iotdb-方式" class="router-link-active router-link-exact-active toc-link level3">5.3. 使用 IoTDB 方式</a></li><!----><!--]--></ul><!--]--></ul></div><!--[--><!----><!--]--></aside></div><!----><div class="theme-hope-content"><!-- |
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| under the License. |
| |
| --><h1 id="监控告警" tabindex="-1"><a class="header-anchor" href="#监控告警" aria-hidden="true">#</a> 监控告警</h1><p>在 IoTDB 的运行过程中，我们希望对 IoTDB 的状态进行观测，以便于排查系统问题或者及时发现系统潜在的风险，能够**反映系统运行状态的一系列指标 **就是系统监控指标。</p><h2 id="_1-什么场景下会使用到监控" tabindex="-1"><a class="header-anchor" href="#_1-什么场景下会使用到监控" aria-hidden="true">#</a> 1. 什么场景下会使用到监控?</h2><p>那么什么时候会用到监控框架呢？下面列举一些常见的场景。</p><ol><li><p>系统变慢了</p><p>系统变慢几乎是最常见也最头疼的问题，这时候我们需要尽可能多的信息来帮助我们找到系统变慢的原因，比如：</p><ul><li>JVM信息：是不是有FGC？GC耗时多少？GC后内存有没有恢复？是不是有大量的线程？</li><li>系统信息：CPU使用率是不是太高了？磁盘IO是不是很频繁？</li><li>连接数：当前连接是不是太多？</li><li>接口：当前TPS是多少？各个接口耗时有没有变化？</li><li>线程池：系统中各种任务是否有积压？</li><li>缓存命中率</li></ul></li><li><p>磁盘快满了</p><p>这时候我们迫切想知道最近一段时间数据文件的增长情况，看看是不是某种文件有突增。</p></li><li><p>系统运行是否正常</p><p>此时我们可能需要通过错误日志的数量、集群节点的状态等指标来判断系统是否在正常运行。</p></li></ol><h2 id="_2-什么人需要使用监控" tabindex="-1"><a class="header-anchor" href="#_2-什么人需要使用监控" aria-hidden="true">#</a> 2. 什么人需要使用监控?</h2><p>所有关注系统状态的人员都可以使用，包括但不限于研发、测试、运维、DBA等等</p><h2 id="_3-什么是监控指标" tabindex="-1"><a class="header-anchor" href="#_3-什么是监控指标" aria-hidden="true">#</a> 3. 什么是监控指标？</h2><h3 id="_3-1-监控指标名词解释" tabindex="-1"><a class="header-anchor" href="#_3-1-监控指标名词解释" aria-hidden="true">#</a> 3.1. 监控指标名词解释</h3><p>在 IoTDB 的监控模块，每个监控指标被 <code>Metric Name</code> 和 <code>Tags</code> 唯一标识。</p><ul><li><code>Metric Name</code>：指标类型名称，比如<code>logback_events</code>表示日志事件。</li><li><code>Tags</code>：指标分类，形式为Key-Value对，每个指标下面可以有0到多个分类，常见的Key-Value对： <ul><li><code>name = xxx</code>：被监控对象的名称，是对<strong>业务逻辑</strong>的说明。比如对于<code>Metric Name = entry_seconds_count</code> 类型的监控项，name的含义是指被监控的业务接口。</li><li><code>type = xxx</code>：监控指标类型细分，是对<strong>监控指标</strong>本身的说明。比如对于<code>Metric Name = point</code> 类型的监控项，type的含义是指监控具体是什么类型的点数。</li><li><code>status = xxx</code>：被监控对象的状态，是对<strong>业务逻辑</strong>的说明。比如对于<code>Metric Name = Task</code>类型的监控项可以通过该参数，从而区分被监控对象的状态。</li><li><code>user = xxx</code>：被监控对象的相关用户，是对<strong>业务逻辑</strong>的说明。比如统计<code>root</code>用户的写入总点数。</li><li>根据具体情况自定义：比如logback_events_total下有一个level的分类，用来表示特定级别下的日志数量。</li></ul></li><li><code>Metric Level</code>：<strong>指标管理级别</strong>，默认启动级别为<code>Core</code>级别，建议启动级别为<code>Important级别</code> ，审核严格程度<code>Core > Important > Normal > All</code><ul><li><code>Core</code>：系统的核心指标，供<strong>系统内核和运维人员</strong>使用，关乎系统的<strong>性能、稳定性、安全性</strong>，比如实例的状况，系统的负载等。</li><li><code>Important</code>：模块的重要指标，供<strong>运维和测试人员</strong>使用，直接关乎<strong>每个模块的运行状态</strong>，比如合并文件个数、执行情况等。</li><li><code>Normal</code>：模块的一般指标，供<strong>开发人员</strong>使用，方便在出现问题时<strong>定位模块</strong>，比如合并中的特定关键操作情况。</li><li><code>All</code>：模块的全部指标，供<strong>模块开发人员</strong>使用，往往在复现问题的时候使用，从而快速解决问题。</li></ul></li></ul><h3 id="_3-2-监控指标对外获取数据格式" tabindex="-1"><a class="header-anchor" href="#_3-2-监控指标对外获取数据格式" aria-hidden="true">#</a> 3.2. 监控指标对外获取数据格式</h3><ul><li>IoTDB 对外提供 JMX、 Prometheus 和 IoTDB 格式的监控指标： <ul><li>对于 JMX ，可以通过<code>org.apache.iotdb.metrics</code>获取系统监控指标指标。</li><li>对于 Prometheus ，可以通过对外暴露的端口获取监控指标的值</li><li>对于 IoTDB 方式对外暴露：可以通过执行 IoTDB 的查询来获取监控指标</li></ul></li></ul><h2 id="_4-监控指标有哪些" tabindex="-1"><a class="header-anchor" href="#_4-监控指标有哪些" aria-hidden="true">#</a> 4. 监控指标有哪些？</h2><p>目前，IoTDB 对外提供一些主要模块的监控指标，并且随着新功能的开发以及系统优化或者重构，监控指标也会同步添加和更新。如果想自己在 IoTDB 中添加更多系统监控指标埋点，可以参考<a href="https://github.com/apache/iotdb/tree/master/metrics" target="_blank" rel="noopener noreferrer">IoTDB Metrics Framework<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>使用说明。</p><h3 id="_4-1-core-级别监控指标" tabindex="-1"><a class="header-anchor" href="#_4-1-core-级别监控指标" aria-hidden="true">#</a> 4.1. Core 级别监控指标</h3><p>Core 级别的监控指标在系统运行中默认开启，每一个 Core 级别的监控指标的添加都需要经过谨慎的评估，目前 Core 级别的监控指标如下所述：</p><h4 id="_4-1-1-集群运行状态" tabindex="-1"><a class="header-anchor" href="#_4-1-1-集群运行状态" aria-hidden="true">#</a> 4.1.1. 集群运行状态</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>config_node</td><td>name="total",status="Registered/Online/Unknown"</td><td>AutoGauge</td><td>已注册/在线/离线 confignode 的节点数量</td></tr><tr><td>data_node</td><td>name="total",status="Registered/Online/Unknown"</td><td>AutoGauge</td><td>已注册/在线/离线 datanode 的节点数量</td></tr><tr><td>cluster_node_leader_count</td><td>name="{ip}:{port}"</td><td>Gauge</td><td>节点上共识组Leader的数量</td></tr><tr><td>cluster_node_status</td><td>name="{ip}:{port}",type="ConfigNode/DataNode"</td><td>Gauge</td><td>节点的状态，0=Unkonwn 1=online</td></tr><tr><td>entry</td><td>name="{interface}"</td><td>Timer</td><td>Client 建立的 Thrift 的耗时情况</td></tr><tr><td>mem</td><td>name="IoTConsensus"</td><td>AutoGauge</td><td>IoT共识协议的内存占用，单位为byte</td></tr></tbody></table><h4 id="_4-1-2-接口层统计" tabindex="-1"><a class="header-anchor" href="#_4-1-2-接口层统计" aria-hidden="true">#</a> 4.1.2. 接口层统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>thrift_connections</td><td>name="ConfigNodeRPC"</td><td>AutoGauge</td><td>ConfigNode 的内部 Thrift 连接数</td></tr><tr><td>thrift_connections</td><td>name="InternalRPC"</td><td>AutoGauge</td><td>DataNode 的内部 Thrift 连接数</td></tr><tr><td>thrift_connections</td><td>name="MPPDataExchangeRPC"</td><td>AutoGauge</td><td>MPP 框架的内部 Thrift 连接数</td></tr><tr><td>thrift_connections</td><td>name="ClientRPC"</td><td>AutoGauge</td><td>Client 建立的 Thrift 连接数</td></tr><tr><td>thrift_active_threads</td><td>name="ConfigNodeRPC-Service"</td><td>AutoGauge</td><td>ConfigNode 的内部活跃 Thrift 连接数</td></tr><tr><td>thrift_active_threads</td><td>name="DataNodeInternalRPC-Service"</td><td>AutoGauge</td><td>DataNode 的内部活跃 Thrift 连接数</td></tr><tr><td>thrift_active_threads</td><td>name="MPPDataExchangeRPC-Service"</td><td>AutoGauge</td><td>MPP 框架的内部活跃 Thrift 连接数</td></tr><tr><td>thrift_active_threads</td><td>name="ClientRPC-Service"</td><td>AutoGauge</td><td>Client 建立的活跃 Thrift 连接数</td></tr><tr><td>session_idle_time</td><td>name = "sessionId"</td><td>Histogram</td><td>不同 Session 的空闲时间分布情况</td></tr></tbody></table><h4 id="_4-1-3-节点统计" tabindex="-1"><a class="header-anchor" href="#_4-1-3-节点统计" aria-hidden="true">#</a> 4.1.3. 节点统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>quantity</td><td>name="database"</td><td>AutoGauge</td><td>系统数据库数量</td></tr><tr><td>quantity</td><td>name="timeSeries"</td><td>AutoGauge</td><td>系统时间序列数量</td></tr><tr><td>quantity</td><td>name="pointsIn"</td><td>Counter</td><td>系统累计写入点数</td></tr><tr><td>points</td><td>database="{database}", type="flush"</td><td>Gauge</td><td>最新一个刷盘的memtale的点数</td></tr></tbody></table><h4 id="_4-1-4-集群全链路" tabindex="-1"><a class="header-anchor" href="#_4-1-4-集群全链路" aria-hidden="true">#</a> 4.1.4. 集群全链路</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>performance_overview</td><td>interface="{interface}", type="{statement_type}"</td><td>Timer</td><td>客户端执行的操作的耗时情况</td></tr><tr><td>performance_overview_detail</td><td>stage="authority"</td><td>Timer</td><td>权限认证总耗时</td></tr><tr><td>performance_overview_detail</td><td>stage="parser"</td><td>Timer</td><td>解析构造总耗时</td></tr><tr><td>performance_overview_detail</td><td>stage="analyzer"</td><td>Timer</td><td>语句分析总耗时</td></tr><tr><td>performance_overview_detail</td><td>stage="planner"</td><td>Timer</td><td>请求规划总耗时</td></tr><tr><td>performance_overview_detail</td><td>stage="scheduler"</td><td>Timer</td><td>请求执行总耗时</td></tr><tr><td>performance_overview_schedule_detail</td><td>stage="local_scheduler"</td><td>Timer</td><td>本地请求执行总耗时</td></tr><tr><td>performance_overview_schedule_detail</td><td>stage="remote_scheduler"</td><td>Timer</td><td>远程请求执行总耗时</td></tr><tr><td>performance_overview_local_detail</td><td>stage="schema_validate"</td><td>Timer</td><td>元数据验证总耗时</td></tr><tr><td>performance_overview_local_detail</td><td>stage="trigger"</td><td>Timer</td><td>Trigger 触发总耗时</td></tr><tr><td>performance_overview_local_detail</td><td>stage="storage"</td><td>Timer</td><td>共识层总耗时</td></tr><tr><td>performance_overview_storage_detail</td><td>stage="engine"</td><td>Timer</td><td>DataRegion 抢锁总耗时</td></tr><tr><td>performance_overview_engine_detail</td><td>stage="lock"</td><td>Timer</td><td>DataRegion 抢锁总耗时</td></tr><tr><td>performance_overview_engine_detail</td><td>stage="create_memtable_block"</td><td>Timer</td><td>创建新的 Memtable 耗时</td></tr><tr><td>performance_overview_engine_detail</td><td>stage="memory_block"</td><td>Timer</td><td>内存控制阻塞总耗时</td></tr><tr><td>performance_overview_engine_detail</td><td>stage="wal"</td><td>Timer</td><td>写入 Wal 总耗时</td></tr><tr><td>performance_overview_engine_detail</td><td>stage="memtable"</td><td>Timer</td><td>写入 Memtable 总耗时</td></tr><tr><td>performance_overview_engine_detail</td><td>stage="last_cache"</td><td>Timer</td><td>更新 LastCache 总耗时</td></tr></tbody></table><h4 id="_4-1-5-任务统计" tabindex="-1"><a class="header-anchor" href="#_4-1-5-任务统计" aria-hidden="true">#</a> 4.1.5. 任务统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>queue</td><td>name="compaction_inner", status="running/waiting"</td><td>Gauge</td><td>空间内合并任务数</td></tr><tr><td>queue</td><td>name="compaction_cross", status="running/waiting"</td><td>Gauge</td><td>跨空间合并任务数</td></tr><tr><td>queue</td><td>name="flush",status="running/waiting"</td><td>AutoGauge</td><td>刷盘任务数</td></tr><tr><td>cost_task</td><td>name="inner_compaction/cross_compaction/flush"</td><td>Gauge</td><td>任务耗时情况</td></tr></tbody></table><h4 id="_4-1-6-iotdb-进程运行状态" tabindex="-1"><a class="header-anchor" href="#_4-1-6-iotdb-进程运行状态" aria-hidden="true">#</a> 4.1.6. IoTDB 进程运行状态</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>process_cpu_load</td><td>name="process"</td><td>AutoGauge</td><td>IoTDB 进程的 CPU 占用率，单位为%</td></tr><tr><td>process_cpu_time</td><td>name="process"</td><td>AutoGauge</td><td>IoTDB 进程占用的 CPU 时间，单位为ns</td></tr><tr><td>process_max_mem</td><td>name="memory"</td><td>AutoGauge</td><td>IoTDB 进程最大可用内存</td></tr><tr><td>process_total_mem</td><td>name="memory"</td><td>AutoGauge</td><td>IoTDB 进程当前已申请内存</td></tr><tr><td>process_free_mem</td><td>name="memory"</td><td>AutoGauge</td><td>IoTDB 进程当前剩余可用内存</td></tr></tbody></table><h4 id="_4-1-7-系统运行状态" tabindex="-1"><a class="header-anchor" href="#_4-1-7-系统运行状态" aria-hidden="true">#</a> 4.1.7. 系统运行状态</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>sys_cpu_load</td><td>name="system"</td><td>AutoGauge</td><td>系统的 CPU 占用率，单位为%</td></tr><tr><td>sys_cpu_cores</td><td>name="system"</td><td>Gauge</td><td>系统的可用处理器数</td></tr><tr><td>sys_total_physical_memory_size</td><td>name="memory"</td><td>Gauge</td><td>系统的最大物理内存</td></tr><tr><td>sys_free_physical_memory_size</td><td>name="memory"</td><td>AutoGauge</td><td>系统的剩余可用内存</td></tr><tr><td>sys_total_swap_space_size</td><td>name="memory"</td><td>AutoGauge</td><td>系统的交换区最大空间</td></tr><tr><td>sys_free_swap_space_size</td><td>name="memory"</td><td>AutoGauge</td><td>系统的交换区剩余可用空间</td></tr><tr><td>sys_committed_vm_size</td><td>name="memory"</td><td>AutoGauge</td><td>系统保证可用于正在运行的进程的虚拟内存量</td></tr><tr><td>sys_disk_total_space</td><td>name="disk"</td><td>AutoGauge</td><td>系统磁盘总大小</td></tr><tr><td>sys_disk_free_space</td><td>name="disk"</td><td>AutoGauge</td><td>系统磁盘可用大小</td></tr></tbody></table><h4 id="_4-1-8-iotdb-日志统计" tabindex="-1"><a class="header-anchor" href="#_4-1-8-iotdb-日志统计" aria-hidden="true">#</a> 4.1.8. IoTDB 日志统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>logback_events</td><td>level="trace/debug/info/warn/error"</td><td>Counter</td><td>不同类型的日志个数</td></tr></tbody></table><h4 id="_4-1-9-文件统计信息" tabindex="-1"><a class="header-anchor" href="#_4-1-9-文件统计信息" aria-hidden="true">#</a> 4.1.9. 文件统计信息</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>file_size</td><td>name="wal"</td><td>AutoGauge</td><td>写前日志总大小，单位为byte</td></tr><tr><td>file_size</td><td>name="seq"</td><td>AutoGauge</td><td>顺序TsFile总大小，单位为byte</td></tr><tr><td>file_size</td><td>name="unseq"</td><td>AutoGauge</td><td>乱序TsFile总大小，单位为byte</td></tr><tr><td>file_size</td><td>name="inner-seq-temp"</td><td>AutoGauge</td><td>顺序空间内合并临时文件大小，单位为byte</td></tr><tr><td>file_size</td><td>name="inner-unseq-temp"</td><td>AutoGauge</td><td>乱序空间内合并临时文件大小，单位为byte</td></tr><tr><td>file_size</td><td>name="cross-temp"</td><td>AutoGauge</td><td>跨空间合并临时文件大小，单位为byte</td></tr><tr><td>file_size</td><td>name="mods"</td><td>AutoGauge</td><td>Modification 文件的大小</td></tr><tr><td>file_count</td><td>name="wal"</td><td>AutoGauge</td><td>写前日志文件个数</td></tr><tr><td>file_count</td><td>name="seq"</td><td>AutoGauge</td><td>顺序TsFile文件个数</td></tr><tr><td>file_count</td><td>name="unseq"</td><td>AutoGauge</td><td>乱序TsFile文件个数</td></tr><tr><td>file_count</td><td>name="inner-seq-temp"</td><td>AutoGauge</td><td>顺序空间内合并临时文件个数</td></tr><tr><td>file_count</td><td>name="inner-unseq-temp"</td><td>AutoGauge</td><td>乱序空间内合并临时文件个数</td></tr><tr><td>file_count</td><td>name="cross-temp"</td><td>AutoGauge</td><td>跨空间合并临时文件个数</td></tr><tr><td>file_count</td><td>name="open_file_handlers"</td><td>AutoGauge</td><td>IoTDB 进程打开文件数，仅支持Linux和MacOS</td></tr><tr><td>file_count</td><td>name="mods</td><td>AutoGauge</td><td>Modification 文件的数目</td></tr></tbody></table><h4 id="_4-1-10-jvm-内存统计" tabindex="-1"><a class="header-anchor" href="#_4-1-10-jvm-内存统计" aria-hidden="true">#</a> 4.1.10. JVM 内存统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>jvm_buffer_memory_used_bytes</td><td>id="direct/mapped"</td><td>AutoGauge</td><td>已经使用的缓冲区大小</td></tr><tr><td>jvm_buffer_total_capacity_bytes</td><td>id="direct/mapped"</td><td>AutoGauge</td><td>最大缓冲区大小</td></tr><tr><td>jvm_buffer_count_buffers</td><td>id="direct/mapped"</td><td>AutoGauge</td><td>当前缓冲区数量</td></tr><tr><td>jvm_memory_committed_bytes</td><td area="heap/nonheap,id="xxx","></td><td>AutoGauge</td><td>当前申请的内存大小</td></tr><tr><td>jvm_memory_max_bytes</td><td area="heap/nonheap,id="xxx","></td><td>AutoGauge</td><td>最大内存</td></tr><tr><td>jvm_memory_used_bytes</td><td area="heap/nonheap,id="xxx","></td><td>AutoGauge</td><td>已使用内存大小</td></tr></tbody></table><h4 id="_4-1-11-jvm-线程统计" tabindex="-1"><a class="header-anchor" href="#_4-1-11-jvm-线程统计" aria-hidden="true">#</a> 4.1.11. JVM 线程统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>jvm_threads_live_threads</td><td></td><td>AutoGauge</td><td>当前线程数</td></tr><tr><td>jvm_threads_daemon_threads</td><td></td><td>AutoGauge</td><td>当前 Daemon 线程数</td></tr><tr><td>jvm_threads_peak_threads</td><td></td><td>AutoGauge</td><td>峰值线程数</td></tr><tr><td>jvm_threads_states_threads</td><td>state="runnable/blocked/waiting/timed-waiting/new/terminated"</td><td>AutoGauge</td><td>当前处于各种状态的线程数</td></tr></tbody></table><h4 id="_4-1-12-jvm-gc-统计" tabindex="-1"><a class="header-anchor" href="#_4-1-12-jvm-gc-统计" aria-hidden="true">#</a> 4.1.12. JVM GC 统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>jvm_gc_pause</td><td>action="end of major GC/end of minor GC",cause="xxxx"</td><td>Timer</td><td>不同原因的Young GC/Full GC的次数与耗时</td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td>jvm_gc_concurrent_phase_time</td><td>action="{action}",cause="{cause}"</td><td>Timer</td><td>不同原因的Young GC/Full GC的次数与耗时</td></tr><tr><td></td><td></td><td></td><td></td></tr><tr><td>jvm_gc_max_data_size_bytes</td><td></td><td>AutoGauge</td><td>老年代内存的历史最大值</td></tr><tr><td>jvm_gc_live_data_size_bytes</td><td></td><td>AutoGauge</td><td>老年代内存的使用值</td></tr><tr><td>jvm_gc_memory_promoted_bytes</td><td></td><td>Counter</td><td>老年代内存正向增长累计值</td></tr><tr><td>jvm_gc_memory_allocated_bytes</td><td></td><td>Counter</td><td>GC分配内存正向增长累计值</td></tr></tbody></table><h3 id="_4-2-important-级别监控指标" tabindex="-1"><a class="header-anchor" href="#_4-2-important-级别监控指标" aria-hidden="true">#</a> 4.2. Important 级别监控指标</h3><p>目前 Important 级别的监控指标如下所述：</p><h4 id="_4-2-1-节点统计" tabindex="-1"><a class="header-anchor" href="#_4-2-1-节点统计" aria-hidden="true">#</a> 4.2.1. 节点统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>region</td><td>name="total",type="SchemaRegion"</td><td>AutoGauge</td><td>分区表中 SchemaRegion 总数量</td></tr><tr><td>region</td><td>name="total",type="DataRegion"</td><td>AutoGauge</td><td>分区表中 DataRegion 总数量</td></tr><tr><td>region</td><td>name="{ip}:{port}",type="SchemaRegion"</td><td>Gauge</td><td>分区表中对应节点上 DataRegion 总数量</td></tr><tr><td>region</td><td>name="{ip}:{port}",type="DataRegion"</td><td>Gauge</td><td>分区表中对应节点上 DataRegion 总数量</td></tr></tbody></table><h4 id="_4-2-2-ratis共识协议统计" tabindex="-1"><a class="header-anchor" href="#_4-2-2-ratis共识协议统计" aria-hidden="true">#</a> 4.2.2. Ratis共识协议统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>ratis_consensus_write</td><td>stage="writeLocally"</td><td>Timer</td><td>本地写入阶段的时间</td></tr><tr><td>ratis_consensus_write</td><td>stage="writeRemotely"</td><td>Timer</td><td>远程写入阶段的时间</td></tr><tr><td>ratis_consensus_write</td><td>stage="writeStateMachine"</td><td>Timer</td><td>写入状态机阶段的时间</td></tr><tr><td>ratis_server</td><td>clientWriteRequest</td><td>Timer</td><td>处理来自客户端写请求的时间</td></tr><tr><td>ratis_server</td><td>followerAppendEntryLatency</td><td>Timer</td><td>跟随者追加日志条目的总时间</td></tr><tr><td>ratis_log_worker</td><td>appendEntryLatency</td><td>Timer</td><td>领导者追加日志条目的总时间</td></tr><tr><td>ratis_log_worker</td><td>queueingDelay</td><td>Timer</td><td>一个 Raft 日志操作被请求后进入队列的时间，等待队列未满</td></tr><tr><td>ratis_log_worker</td><td>enqueuedTime</td><td>Timer</td><td>一个 Raft 日志操作在队列中的时间</td></tr><tr><td>ratis_log_worker</td><td>writelogExecutionTime</td><td>Timer</td><td>一个 Raft 日志写入操作完成执行的时间</td></tr><tr><td>ratis_log_worker</td><td>flushTime</td><td>Timer</td><td>刷新日志的时间</td></tr><tr><td>ratis_log_worker</td><td>closedSegmentsSizeInBytes</td><td>Gauge</td><td>关闭的 Raft 日志段的总大小</td></tr><tr><td>ratis_log_worker</td><td>openSegmentSizeInBytes</td><td>Gauge</td><td>打开的 Raft 日志段的总大小</td></tr></tbody></table><h4 id="_4-2-3-iot共识协议统计" tabindex="-1"><a class="header-anchor" href="#_4-2-3-iot共识协议统计" aria-hidden="true">#</a> 4.2.3. IoT共识协议统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>iot_consensus</td><td>name="logDispatcher-{IP}:{Port}", region="{region}", type="currentSyncIndex"</td><td>AutoGauge</td><td>副本组同步线程的当前同步进度</td></tr><tr><td>iot_consensus</td><td>name="logDispatcher-{IP}:{Port}", region="{region}", type="cachedRequestInMemoryQueue"</td><td>AutoGauge</td><td>副本组同步线程缓存队列请求总大小</td></tr><tr><td>iot_consensus</td><td>name="IoTConsensusServerImpl", region="{region}", type="searchIndex"</td><td>AutoGauge</td><td>副本组主流程写入进度</td></tr><tr><td>iot_consensus</td><td>name="IoTConsensusServerImpl", region="{region}", type="safeIndex"</td><td>AutoGauge</td><td>副本组同步进度</td></tr><tr><td>iot_consensus</td><td>name="IoTConsensusServerImpl", region="{region}", type="syncLag"</td><td>AutoGauge</td><td>副本组写入进度与同步进度差</td></tr><tr><td>iot_consensus</td><td>name="IoTConsensusServerImpl", region="{region}", type="LogEntriesFromWAL"</td><td>AutoGauge</td><td>副本组Batch中来自WAL的日志项数量</td></tr><tr><td>iot_consensus</td><td>name="IoTConsensusServerImpl", region="{region}", type="LogEntriesFromQueue"</td><td>AutoGauge</td><td>副本组Batch中来自队列的日志项数量</td></tr><tr><td>stage</td><td>name="iot_consensus", region="{region}", type="getStateMachineLock"</td><td>Histogram</td><td>主流程获取状态机锁耗时</td></tr><tr><td>stage</td><td>name="iot_consensus", region="{region}", type="checkingBeforeWrite"</td><td>Histogram</td><td>主流程写入状态机检查耗时</td></tr><tr><td>stage</td><td>name="iot_consensus", region="{region}", type="writeStateMachine"</td><td>Histogram</td><td>主流程写入状态机耗时</td></tr><tr><td>stage</td><td>name="iot_consensus", region="{region}", type="offerRequestToQueue"</td><td>Histogram</td><td>主流程尝试添加队列耗时</td></tr><tr><td>stage</td><td>name="iot_consensus", region="{region}", type="consensusWrite"</td><td>Histogram</td><td>主流程全写入耗时</td></tr><tr><td>stage</td><td>name="iot_consensus", region="{region}", type="constructBatch"</td><td>Histogram</td><td>同步线程构造 Batch 耗时</td></tr><tr><td>stage</td><td>name="iot_consensus", region="{region}", type="syncLogTimePerRequest"</td><td>Histogram</td><td>异步回调流程同步日志耗时</td></tr></tbody></table><h4 id="_4-2-4-缓存统计" tabindex="-1"><a class="header-anchor" href="#_4-2-4-缓存统计" aria-hidden="true">#</a> 4.2.4. 缓存统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>cache_hit</td><td>name="chunk"</td><td>AutoGauge</td><td>ChunkCache的命中率，单位为%</td></tr><tr><td>cache_hit</td><td>name="timeSeriesMeta"</td><td>AutoGauge</td><td>TimeseriesMetadataCache的命中率，单位为%</td></tr><tr><td>cache_hit</td><td>name="bloomFilter"</td><td>AutoGauge</td><td>TimeseriesMetadataCache中的bloomFilter的拦截率，单位为%</td></tr><tr><td>cache</td><td>name="Database", type="hit"</td><td>Counter</td><td>Database Cache 的命中次数</td></tr><tr><td>cache</td><td>name="Database", type="all"</td><td>Counter</td><td>Database Cache 的访问次数</td></tr><tr><td>cache</td><td>name="SchemaPartition", type="hit"</td><td>Counter</td><td>SchemaPartition Cache 的命中次数</td></tr><tr><td>cache</td><td>name="SchemaPartition", type="all"</td><td>Counter</td><td>SchemaPartition Cache 的访问次数</td></tr><tr><td>cache</td><td>name="DataPartition", type="hit"</td><td>Counter</td><td>DataPartition Cache 的命中次数</td></tr><tr><td>cache</td><td>name="DataPartition", type="all"</td><td>Counter</td><td>DataPartition Cache 的访问次数</td></tr><tr><td>cache</td><td>name="schemaCache", type="hit"</td><td>Counter</td><td>Schema Cache 的命中次数</td></tr><tr><td>cache</td><td>name="schemaCache", type="all"</td><td>Counter</td><td>Schema Cache 的访问次数</td></tr></tbody></table><h4 id="_4-2-5-内存统计" tabindex="-1"><a class="header-anchor" href="#_4-2-5-内存统计" aria-hidden="true">#</a> 4.2.5. 内存统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>mem</td><td>name="database_{name}"</td><td>AutoGauge</td><td>DataNode内对应DataRegion的内存占用，单位为byte</td></tr><tr><td>mem</td><td>name="chunkMetaData_{name}"</td><td>AutoGauge</td><td>写入TsFile时的ChunkMetaData的内存占用，单位为byte</td></tr><tr><td>mem</td><td>name="IoTConsensus"</td><td>AutoGauge</td><td>IoT共识协议的内存占用，单位为byte</td></tr><tr><td>mem</td><td>name="IoTConsensusQueue"</td><td>AutoGauge</td><td>IoT共识协议用于队列的内存占用，单位为byte</td></tr><tr><td>mem</td><td>name="IoTConsensusSync"</td><td>AutoGauge</td><td>IoT共识协议用于同步的内存占用，单位为byte</td></tr><tr><td>mem</td><td>name="schema_region_total_usage"</td><td>AutoGauge</td><td>所有SchemaRegion的总内存占用，单位为byte</td></tr></tbody></table><h4 id="_4-2-6-合并统计" tabindex="-1"><a class="header-anchor" href="#_4-2-6-合并统计" aria-hidden="true">#</a> 4.2.6. 合并统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>data_written</td><td>name="compaction", type="aligned/not-aligned/total"</td><td>Counter</td><td>合并时写入量</td></tr><tr><td>data_read</td><td>name="compaction"</td><td>Counter</td><td>合并时的读取量</td></tr><tr><td>compaction_task_count</td><td>name = "inner_compaction", type="sequence"</td><td>Counter</td><td>顺序空间内合并次数</td></tr><tr><td>compaction_task_count</td><td>name = "inner_compaction", type="unsequence"</td><td>Counter</td><td>乱序空间内合并次数</td></tr><tr><td>compaction_task_count</td><td>name = "cross_compaction", type="cross"</td><td>Counter</td><td>跨空间合并次数</td></tr></tbody></table><h4 id="_4-2-7-iotdb-进程统计" tabindex="-1"><a class="header-anchor" href="#_4-2-7-iotdb-进程统计" aria-hidden="true">#</a> 4.2.7. IoTDB 进程统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>process_used_mem</td><td>name="memory"</td><td>AutoGauge</td><td>IoTDB 进程当前使用内存</td></tr><tr><td>process_mem_ratio</td><td>name="memory"</td><td>AutoGauge</td><td>IoTDB 进程的内存占用比例</td></tr><tr><td>process_threads_count</td><td>name="process"</td><td>AutoGauge</td><td>IoTDB 进程当前线程数</td></tr><tr><td>process_status</td><td>name="process"</td><td>AutoGauge</td><td>IoTDB 进程存活状态，1为存活，0为终止</td></tr></tbody></table><h4 id="_4-2-8-jvm-类加载统计" tabindex="-1"><a class="header-anchor" href="#_4-2-8-jvm-类加载统计" aria-hidden="true">#</a> 4.2.8. JVM 类加载统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>jvm_classes_unloaded_classes</td><td></td><td>AutoGauge</td><td>累计卸载的class数量</td></tr><tr><td>jvm_classes_loaded_classes</td><td></td><td>AutoGauge</td><td>累计加载的class数量</td></tr></tbody></table><h4 id="_4-2-9-jvm-编译时间统计" tabindex="-1"><a class="header-anchor" href="#_4-2-9-jvm-编译时间统计" aria-hidden="true">#</a> 4.2.9. JVM 编译时间统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>jvm_compilation_time_ms</td><td compiler="HotSpot 64-Bit Tiered Compilers,"></td><td>AutoGauge</td><td>耗费在编译上的时间</td></tr></tbody></table><h4 id="_4-2-10-查询规划耗时统计" tabindex="-1"><a class="header-anchor" href="#_4-2-10-查询规划耗时统计" aria-hidden="true">#</a> 4.2.10. 查询规划耗时统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>query_plan_cost</td><td>stage="analyzer"</td><td>Timer</td><td>查询语句分析耗时</td></tr><tr><td>query_plan_cost</td><td>stage="logical_planner"</td><td>Timer</td><td>查询逻辑计划规划耗时</td></tr><tr><td>query_plan_cost</td><td>stage="distribution_planner"</td><td>Timer</td><td>查询分布式执行计划规划耗时</td></tr><tr><td>query_plan_cost</td><td>stage="partition_fetcher"</td><td>Timer</td><td>分区信息拉取耗时</td></tr><tr><td>query_plan_cost</td><td>stage="schema_fetcher"</td><td>Timer</td><td>元数据信息拉取耗时</td></tr></tbody></table><h4 id="_4-2-11-执行计划分发耗时统计" tabindex="-1"><a class="header-anchor" href="#_4-2-11-执行计划分发耗时统计" aria-hidden="true">#</a> 4.2.11. 执行计划分发耗时统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>dispatcher</td><td>stage="wait_for_dispatch"</td><td>Timer</td><td>分发执行计划耗时</td></tr><tr><td>dispatcher</td><td>stage="dispatch_read"</td><td>Timer</td><td>查询执行计划发送耗时</td></tr></tbody></table><h4 id="_4-2-12-查询资源访问统计" tabindex="-1"><a class="header-anchor" href="#_4-2-12-查询资源访问统计" aria-hidden="true">#</a> 4.2.12. 查询资源访问统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>query_resource</td><td>type="sequence_tsfile"</td><td>Rate</td><td>顺序文件访问频率</td></tr><tr><td>query_resource</td><td>type="unsequence_tsfile"</td><td>Rate</td><td>乱序文件访问频率</td></tr><tr><td>query_resource</td><td>type="flushing_memtable"</td><td>Rate</td><td>flushing memtable 访问频率</td></tr><tr><td>query_resource</td><td>type="working_memtable"</td><td>Rate</td><td>working memtable 访问频率</td></tr></tbody></table><h4 id="_4-2-13-数据传输模块统计" tabindex="-1"><a class="header-anchor" href="#_4-2-13-数据传输模块统计" aria-hidden="true">#</a> 4.2.13. 数据传输模块统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>data_exchange_cost</td><td>operation="source_handle_get_tsblock", type="local/remote"</td><td>Timer</td><td>source handle 接收 TsBlock 耗时</td></tr><tr><td>data_exchange_cost</td><td>operation="source_handle_deserialize_tsblock", type="local/remote"</td><td>Timer</td><td>source handle 反序列化 TsBlock 耗时</td></tr><tr><td>data_exchange_cost</td><td>operation="sink_handle_send_tsblock", type="local/remote"</td><td>Timer</td><td>sink handle 发送 TsBlock 耗时</td></tr><tr><td>data_exchange_cost</td><td>operation="send_new_data_block_event_task", type="server/caller"</td><td>Timer</td><td>sink handle 发送 TsBlock RPC 耗时</td></tr><tr><td>data_exchange_cost</td><td>operation="get_data_block_task", type="server/caller"</td><td>Timer</td><td>source handle 接收 TsBlock RPC 耗时</td></tr><tr><td>data_exchange_cost</td><td>operation="on_acknowledge_data_block_event_task", type="server/caller"</td><td>Timer</td><td>source handle 确认接收 TsBlock RPC 耗时</td></tr><tr><td>data_exchange_count</td><td>name="send_new_data_block_num", type="server/caller"</td><td>Histogram</td><td>sink handle 发送 TsBlock数量</td></tr><tr><td>data_exchange_count</td><td>name="get_data_block_num", type="server/caller"</td><td>Histogram</td><td>source handle 接收 TsBlock 数量</td></tr><tr><td>data_exchange_count</td><td>name="on_acknowledge_data_block_num", type="server/caller"</td><td>Histogram</td><td>source handle 确认接收 TsBlock 数量</td></tr></tbody></table><h4 id="_4-2-14-查询任务调度统计" tabindex="-1"><a class="header-anchor" href="#_4-2-14-查询任务调度统计" aria-hidden="true">#</a> 4.2.14. 查询任务调度统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>driver_scheduler</td><td>name="ready_queued_time"</td><td>Timer</td><td>就绪队列排队时间</td></tr><tr><td>driver_scheduler</td><td>name="block_queued_time"</td><td>Timer</td><td>阻塞队列排队时间</td></tr><tr><td>driver_scheduler</td><td>name="ready_queue_task_count"</td><td>AutoGauge</td><td>就绪队列排队任务数</td></tr><tr><td>driver_scheduler</td><td>name="block_queued_task_count"</td><td>AutoGauge</td><td>阻塞队列排队任务数</td></tr></tbody></table><h4 id="_4-2-15-查询执行耗时统计" tabindex="-1"><a class="header-anchor" href="#_4-2-15-查询执行耗时统计" aria-hidden="true">#</a> 4.2.15. 查询执行耗时统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>query_execution</td><td>stage="local_execution_planner"</td><td>Timer</td><td>算子树构造耗时</td></tr><tr><td>query_execution</td><td>stage="query_resource_init"</td><td>Timer</td><td>查询资源初始化耗时</td></tr><tr><td>query_execution</td><td>stage="get_query_resource_from_mem"</td><td>Timer</td><td>查询资源内存查询与构造耗时</td></tr><tr><td>query_execution</td><td>stage="driver_internal_process"</td><td>Timer</td><td>Driver 执行耗时</td></tr><tr><td>query_execution</td><td>stage="wait_for_result"</td><td>Timer</td><td>从resultHandle 获取一次查询结果的耗时</td></tr><tr><td>operator_execution_cost</td><td>name="{operator_name}"</td><td>Timer</td><td>算子执行耗时</td></tr><tr><td>operator_execution_count</td><td>name="{operator_name}"</td><td>Counter</td><td>算子调用次数（以 next 方法调用次数计算）</td></tr><tr><td>aggregation</td><td>from="raw_data"</td><td>Timer</td><td>从一批原始数据进行一次聚合计算的耗时</td></tr><tr><td>aggregation</td><td>from="statistics"</td><td>Timer</td><td>使用统计信息更新一次聚合值的耗时</td></tr><tr><td>series_scan_cost</td><td>stage="load_timeseries_metadata", type="aligned/non_aligned", from="mem/disk"</td><td>Timer</td><td>加载 TimeseriesMetadata 耗时</td></tr><tr><td>series_scan_cost</td><td>stage="read_timeseries_metadata", type="", from="cache/file"</td><td>Timer</td><td>读取一个文件的 Metadata 耗时</td></tr><tr><td>series_scan_cost</td><td>stage="timeseries_metadata_modification", type="aligned/non_aligned", from="null"</td><td>Timer</td><td>过滤删除的 TimeseriesMetadata 耗时</td></tr><tr><td>series_scan_cost</td><td>stage="load_chunk_metadata_list", type="aligned/non_aligned", from="mem/disk"</td><td>Timer</td><td>加载 ChunkMetadata 列表耗时</td></tr><tr><td>series_scan_cost</td><td>stage="chunk_metadata_modification", type="aligned/non_aligned", from="mem/disk"</td><td>Timer</td><td>过滤删除的 ChunkMetadata 耗时</td></tr><tr><td>series_scan_cost</td><td>stage="chunk_metadata_filter", type="aligned/non_aligned", from="mem/disk"</td><td>Timer</td><td>根据查询过滤条件过滤 ChunkMetadata 耗时</td></tr><tr><td>series_scan_cost</td><td>stage="construct_chunk_reader", type="aligned/non_aligned", from="mem/disk"</td><td>Timer</td><td>构造 ChunkReader 耗时</td></tr><tr><td>series_scan_cost</td><td>stage="read_chunk", type="", from="cache/file"</td><td>Timer</td><td>读取 Chunk 的耗时</td></tr><tr><td>series_scan_cost</td><td>stage="init_chunk_reader", type="aligned/non_aligned", from="mem/disk"</td><td>Timer</td><td>初始化 ChunkReader（构造 PageReader） 耗时</td></tr><tr><td>series_scan_cost</td><td>stage="build_tsblock_from_page_reader", type="aligned/non_aligned", from="mem/disk"</td><td>Timer</td><td>从 PageReader 构造 Tsblock 耗时</td></tr><tr><td>series_scan_cost</td><td>stage="build_tsblock_from_merge_reader", type="aligned/non_aligned", from="null"</td><td>Timer</td><td>从 MergeReader 构造 Tsblock （解乱序数据）耗时</td></tr></tbody></table><h4 id="_4-2-16-元数据引擎统计" tabindex="-1"><a class="header-anchor" href="#_4-2-16-元数据引擎统计" aria-hidden="true">#</a> 4.2.16 元数据引擎统计</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>schema_engine</td><td>name="schema_region_total_mem_usage"</td><td>AutoGauge</td><td>SchemaRegion 全局内存使用量</td></tr><tr><td>schema_engine</td><td>name="schema_region_mem_capacity"</td><td>AutoGauge</td><td>SchemaRegion 全局可用内存</td></tr><tr><td>schema_engine</td><td>name="schema_engine_mode"</td><td>Gauge</td><td>SchemaEngine 模式</td></tr><tr><td>schema_engine</td><td>name="schema_region_consensus"</td><td>Gauge</td><td>元数据管理引擎共识协议</td></tr><tr><td>schema_engine</td><td>name="schema_region_number"</td><td>AutoGauge</td><td>SchemaRegion 个数</td></tr><tr><td>quantity</td><td>name="template_series_cnt"</td><td>AutoGauge</td><td>模板序列数</td></tr><tr><td>schema_region</td><td>name="schema_region_mem_usage", region="SchemaRegion[{regionId}]"</td><td>AutoGauge</td><td>每个 SchemaRegion 分别的内存使用量</td></tr><tr><td>schema_region</td><td>name="schema_region_series_cnt", region="SchemaRegion[{regionId}]"</td><td>AutoGauge</td><td>每个 SchemaRegion 分别的时间序列数</td></tr><tr><td>schema_region</td><td>name="activated_template_cnt", region="SchemaRegion[{regionId}]"</td><td>AutoGauge</td><td>每个 SchemaRegion 激活的模板数</td></tr><tr><td>schema_region</td><td>name="template_series_cnt", region="SchemaRegion[{regionId}]"</td><td>AutoGauge</td><td>每个 SchemaRegion 的模板序列数</td></tr></tbody></table><h3 id="_4-3-normal-级别监控指标" tabindex="-1"><a class="header-anchor" href="#_4-3-normal-级别监控指标" aria-hidden="true">#</a> 4.3. Normal 级别监控指标</h3><h4 id="_4-3-1-集群" tabindex="-1"><a class="header-anchor" href="#_4-3-1-集群" aria-hidden="true">#</a> 4.3.1. 集群</h4><table><thead><tr><th>Metric</th><th>Tags</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>region</td><td>name="{DatabaseName}",type="SchemaRegion/DataRegion"</td><td>AutoGauge</td><td>特定节点上不同 Database 的 DataRegion/SchemaRegion 个数</td></tr><tr><td>slot</td><td>name="{DatabaseName}",type="schemaSlotNumber/dataSlotNumber"</td><td>AutoGauge</td><td>特定节点上不同 Database 的 DataSlot/SchemaSlot 个数</td></tr></tbody></table><h3 id="_4-4-all-级别监控指标" tabindex="-1"><a class="header-anchor" href="#_4-4-all-级别监控指标" aria-hidden="true">#</a> 4.4. All 级别监控指标</h3><p>目前还没有All级别的监控指标，后续会持续添加。</p><h2 id="_5-怎样获取这些系统监控" tabindex="-1"><a class="header-anchor" href="#_5-怎样获取这些系统监控" aria-hidden="true">#</a> 5. 怎样获取这些系统监控？</h2><ul><li>监控模块的相关配置均在<code>conf/iotdb-{datanode/confignode}.properties</code>中，所有配置项支持通过<code>load configuration</code>命令热加载。</li></ul><h3 id="_5-1-使用-jmx-方式" tabindex="-1"><a class="header-anchor" href="#_5-1-使用-jmx-方式" aria-hidden="true">#</a> 5.1. 使用 JMX 方式</h3><p>对于使用 JMX 对外暴露的指标，可以通过 Jconsole 来进行查看。在进入 Jconsole 监控页面后，首先会看到 IoTDB 的各类运行情况的概览。在这里，您可以看到堆内存信息、线程信息、类信息以及服务器的 CPU 使用情况。</p><h4 id="_5-1-1-获取监控指标数据" tabindex="-1"><a class="header-anchor" href="#_5-1-1-获取监控指标数据" aria-hidden="true">#</a> 5.1.1. 获取监控指标数据</h4><p>连接到 JMX 后，您可以通过 "MBeans" 标签找到名为 "org.apache.iotdb.metrics" 的 "MBean"，可以在侧边栏中查看所有监控指标的具体值。</p><img style="width:100%;max-width:800px;max-height:600px;margin-left:auto;margin-right:auto;display:block;" alt="metric-jmx" src="https://alioss.timecho.com/docs/img/github/204018765-6fda9391-ebcf-4c80-98c5-26f34bd74df0.png"><h4 id="_5-1-2-获取其他相关数据" tabindex="-1"><a class="header-anchor" href="#_5-1-2-获取其他相关数据" aria-hidden="true">#</a> 5.1.2. 获取其他相关数据</h4><p>连接到 JMX 后，您可以通过 "MBeans" 标签找到名为 "org.apache.iotdb.service" 的 "MBean"，如下图所示，了解服务的基本状态</p><p><img style="width:100%;max-width:800px;max-height:600px;margin-left:auto;margin-right:auto;display:block;" src="https://alioss.timecho.com/docs/img/github/149951720-707f1ee8-32ee-4fde-9252-048caebd232e.png"> <br></p><p>为了提高查询性能，IOTDB 对 ChunkMetaData 和 TsFileMetaData 进行了缓存。用户可以使用 MXBean ，展开侧边栏<code>org.apache.iotdb.db.service</code>查看缓存命中率：</p><img style="width:100%;max-width:800px;max-height:600px;margin-left:auto;margin-right:auto;display:block;" src="https://alioss.timecho.com/docs/img/github/112426760-73e3da80-8d73-11eb-9a8f-9232d1f2033b.png"><h3 id="_5-2-使用-prometheus-方式" tabindex="-1"><a class="header-anchor" href="#_5-2-使用-prometheus-方式" aria-hidden="true">#</a> 5.2. 使用 Prometheus 方式</h3><h4 id="_5-2-1-监控指标的-prometheus-映射关系" tabindex="-1"><a class="header-anchor" href="#_5-2-1-监控指标的-prometheus-映射关系" aria-hidden="true">#</a> 5.2.1. 监控指标的 Prometheus 映射关系</h4><blockquote><p>对于 Metric Name 为 name, Tags 为 K1=V1, ..., Kn=Vn 的监控指标有如下映射，其中 value 为具体值</p></blockquote><table><thead><tr><th>监控指标类型</th><th>映射关系</th></tr></thead><tbody><tr><td>Counter</td><td>name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn"} value</td></tr><tr><td>AutoGauge、Gauge</td><td>name{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn"} value</td></tr><tr><td>Histogram</td><td>name_max{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn"} value <br> name_sum{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn"} value <br> name_count{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn"} value <br> name{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", quantile="0.0"} value <br> name{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", quantile="0.5"} value <br> name{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", quantile="0.99"} value <br> name{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", quantile="0.999"} value</td></tr><tr><td>Rate</td><td>name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn"} value <br> name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", rate="m1"} value <br> name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", rate="m5"} value <br> name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", rate="m15"} value <br> name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", rate="mean"} value</td></tr><tr><td>Timer</td><td>name_seconds_max{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn"} value <br> name_seconds_sum{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn"} value <br> name_seconds_count{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn"} value <br> name_seconds{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", quantile="0.0"} value <br> name_seconds{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", quantile="0.5"} value value <br> name_seconds{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", quantile="0.99"} value <br> name_seconds{cluster="clusterName", nodeType="nodeType", nodeId="nodeId",k1="V1" , ..., Kn="Vn", quantile="0.999"} value</td></tr></tbody></table><h4 id="_5-2-2-修改配置文件" tabindex="-1"><a class="header-anchor" href="#_5-2-2-修改配置文件" aria-hidden="true">#</a> 5.2.2. 修改配置文件</h4><ol><li>以 DataNode 为例，修改 iotdb-datanode.properties 配置文件如下：</li></ol><div class="language-properties line-numbers-mode" data-ext="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">CORE</span> |
| <span class="token key attr-name">dn_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="2"><li><p>启动 IoTDB DataNode</p></li><li><p>打开浏览器或者用<code>curl</code> 访问 <code>http://servier_ip:9091/metrics</code>, 就能得到如下 metric 数据：</p></li></ol><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>... |
| # HELP file_count |
| # TYPE file_count gauge |
| file_count{name="wal",} 0.0 |
| file_count{name="unseq",} 0.0 |
| file_count{name="seq",} 2.0 |
| ... |
| </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></div><h4 id="_5-2-3-prometheus-grafana" tabindex="-1"><a class="header-anchor" href="#_5-2-3-prometheus-grafana" aria-hidden="true">#</a> 5.2.3. Prometheus + Grafana</h4><p>如上所示，IoTDB 对外暴露出标准的 Prometheus 格式的监控指标数据，可以使用 Prometheus 采集并存储监控指标，使用 Grafana 可视化监控指标。</p><p>IoTDB、Prometheus、Grafana三者的关系如下图所示:</p><figure><img src="https://raw.githubusercontent.com/apache/iotdb-bin-resources/main/docs/UserGuide/System Tools/Metrics/iotdb_prometheus_grafana.png" alt="iotdb_prometheus_grafana" tabindex="0" loading="lazy"><figcaption>iotdb_prometheus_grafana</figcaption></figure><ol><li>IoTDB在运行过程中持续收集监控指标数据。</li><li>Prometheus以固定的间隔（可配置）从IoTDB的HTTP接口拉取监控指标数据。</li><li>Prometheus将拉取到的监控指标数据存储到自己的TSDB中。</li><li>Grafana以固定的间隔（可配置）从Prometheus查询监控指标数据并绘图展示。</li></ol><p>从交互流程可以看出，我们需要做一些额外的工作来部署和配置Prometheus和Grafana。</p><p>比如，你可以对Prometheus进行如下的配置（部分参数可以自行调整）来从IoTDB获取监控数据</p><div class="language-yaml line-numbers-mode" data-ext="yml"><pre class="language-yaml"><code><span class="token key atrule">job_name</span><span class="token punctuation">:</span> pull<span class="token punctuation">-</span>metrics |
| <span class="token key atrule">honor_labels</span><span class="token punctuation">:</span> <span class="token boolean important">true</span> |
| <span class="token key atrule">honor_timestamps</span><span class="token punctuation">:</span> <span class="token boolean important">true</span> |
| <span class="token key atrule">scrape_interval</span><span class="token punctuation">:</span> 15s |
| <span class="token key atrule">scrape_timeout</span><span class="token punctuation">:</span> 10s |
| <span class="token key atrule">metrics_path</span><span class="token punctuation">:</span> /metrics |
| <span class="token key atrule">scheme</span><span class="token punctuation">:</span> http |
| <span class="token key atrule">follow_redirects</span><span class="token punctuation">:</span> <span class="token boolean important">true</span> |
| <span class="token key atrule">static_configs</span><span class="token punctuation">:</span> |
| <span class="token punctuation">-</span> <span class="token key atrule">targets</span><span class="token punctuation">:</span> |
| <span class="token punctuation">-</span> localhost<span class="token punctuation">:</span><span class="token number">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 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><p>更多细节可以参考下面的文档：</p><p><a href="https://prometheus.io/docs/prometheus/latest/getting_started/" target="_blank" rel="noopener noreferrer">Prometheus安装使用文档<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">open in new window</span></span></a></p><p><a href="https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config" target="_blank" rel="noopener noreferrer">Prometheus从HTTP接口拉取metrics数据的配置说明<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></p><p><a href="https://grafana.com/docs/grafana/latest/getting-started/getting-started/" target="_blank" rel="noopener noreferrer">Grafana安装使用文档<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">open in new window</span></span></a></p><p><a href="https://prometheus.io/docs/visualization/grafana/#grafana-support-for-prometheus" target="_blank" rel="noopener noreferrer">Grafana从Prometheus查询数据并绘图的文档<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">open in new window</span></span></a></p><h4 id="_5-2-4-apache-iotdb-dashboard" tabindex="-1"><a class="header-anchor" href="#_5-2-4-apache-iotdb-dashboard" aria-hidden="true">#</a> 5.2.4. Apache IoTDB Dashboard</h4><p>我们提供了Apache IoTDB Dashboard，在Grafana中显示的效果图如下所示：</p><figure><img src="https://gitbox.apache.org/repos/asf?p=iotdb-bin-resources.git;a=blob_plain;f=docs/UserGuide/System Tools/Metrics/dashboard.png" alt="Apache IoTDB Dashboard" tabindex="0" loading="lazy"><figcaption>Apache IoTDB Dashboard</figcaption></figure><p>你可以在企业版中获取到 Dashboard 的 Json文件。</p><h3 id="_5-3-使用-iotdb-方式" tabindex="-1"><a class="header-anchor" href="#_5-3-使用-iotdb-方式" aria-hidden="true">#</a> 5.3. 使用 IoTDB 方式</h3><h4 id="_5-3-1-监控指标的-iotdb-映射关系" tabindex="-1"><a class="header-anchor" href="#_5-3-1-监控指标的-iotdb-映射关系" aria-hidden="true">#</a> 5.3.1. 监控指标的 IoTDB 映射关系</h4><blockquote><p>对于 Metric Name 为 name, Tags 为 K1=V1, ..., Kn=Vn 的监控指标有如下映射，以默认写到 root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code> 为例</p></blockquote><table><thead><tr><th>监控指标类型</th><th>映射关系</th></tr></thead><tbody><tr><td>Counter</td><td>root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.value</td></tr><tr><td>AutoGauge、Gauge</td><td>root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.value</td></tr><tr><td>Histogram</td><td>root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.count <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.max <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.sum <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.p0 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.p50 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.p75 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.p99 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.p999</td></tr><tr><td>Rate</td><td>root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.count <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.mean <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.m1 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.m5 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.m15</td></tr><tr><td>Timer</td><td>root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.count <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.max <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.mean <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.sum <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.p0 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.p50 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.p75 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.p99 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.p999 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.m1 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.m5 <br> root.__system.metric.<code>clusterName</code>.<code>nodeType</code>.<code>nodeId</code>.name.<code>K1=V1</code>...<code>Kn=Vn</code>.m15</td></tr></tbody></table><h4 id="_5-3-2-获取监控指标" tabindex="-1"><a class="header-anchor" href="#_5-3-2-获取监控指标" aria-hidden="true">#</a> 5.3.2. 获取监控指标</h4><p>根据如上的映射关系，可以构成相关的 IoTDB 查询语句获取监控指标</p></div><!----><footer class="page-meta"><div class="meta-item edit-link"><a href="https://github.com/apache/iotdb/edit/rel/1.1/docs/zh/UserGuide/Monitor-Alert/Metric-Tool.md" rel="noopener noreferrer" target="_blank" aria-label="发现错误？在 GitHub 上编辑此页" class="nav-link label"><!--[--><svg xmlns="http://www.w3.org/2000/svg" class="icon edit-icon" viewBox="0 0 1024 1024" fill="currentColor" 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