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| <span><svg 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" class="icon outbound"><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="sr-only">(opens new window)</span></span></a></nav> <ul class="sidebar-links"><li><section class="sidebar-group depth-0"><p class="sidebar-heading"><span>IoTDB用户手册 (In progress)</span> <!----></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>IoTDB简介</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>快速上手</span> <span class="arrow right"></span></p> 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<!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>数据处理</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>权限管理</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading open"><span>运维工具</span> <span class="arrow down"></span></p> <ul class="sidebar-links sidebar-group-items"><li><a href="/zh/UserGuide/Master/Maintenance-Tools/Maintenance-Command.html" class="sidebar-link">运维命令</a></li><li><a href="/zh/UserGuide/Master/Maintenance-Tools/Monitor-and-Log-Tools.html" class="sidebar-link">监控工具和系统日志</a></li><li><a href="/zh/UserGuide/Master/Maintenance-Tools/JMX-Tool.html" class="sidebar-link">JMX 工具</a></li><li><a href="/zh/UserGuide/Master/Maintenance-Tools/MLogParser-Tool.html" class="sidebar-link">Mlog解析工具</a></li><li><a href="/zh/UserGuide/Master/Maintenance-Tools/NodeTool.html" class="sidebar-link">节点工具</a></li><li><a href="/zh/UserGuide/Master/Maintenance-Tools/Watermark-Tool.html" class="sidebar-link">水印工具</a></li><li><a href="/zh/UserGuide/Master/Maintenance-Tools/Metric-Tool.html" aria-current="page" class="active sidebar-link">监控工具</a></li><li><a href="/zh/UserGuide/Master/Maintenance-Tools/Sync-Tool.html" class="sidebar-link">TsFile 同步工具</a></li><li><a href="/zh/UserGuide/Master/Maintenance-Tools/TsFile-Split-Tool.html" class="sidebar-link">TsFile 拆分工具</a></li></ul></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>系统集成</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>分布式</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>UDF 资料库</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>参考</span> <span class="arrow right"></span></p> <!----></section></li></ul> </aside> <main class="page"> <div class="content content__default"><h2 id="_1-什么是metrics"><a href="#_1-什么是metrics" class="header-anchor">#</a> 1. 什么是Metrics?</h2> <p>在IoTDB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<strong>反映系统运行状态的一系列指标</strong>就是metrics。</p> <h2 id="_2-什么场景下会使用到metrics"><a href="#_2-什么场景下会使用到metrics" class="header-anchor">#</a> 2. 什么场景下会使用到metrics?</h2> <p>那么什么时候会用到metrics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="_3-什么人需要使用metrics"><a href="#_3-什么人需要使用metrics" class="header-anchor">#</a> 3. 什么人需要使用metrics?</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="_4-iotdb都有哪些metrics"><a href="#_4-iotdb都有哪些metrics" class="header-anchor">#</a> 4. IoTDB都有哪些metrics?</h2> <p>目前，IoTDB对外提供一些主要模块的metrics，并且随着新功能的开发以及系统优化或者重构，metrics也会同步添加和更新。</p> <h3 id="_4-1-名词解释"><a href="#_4-1-名词解释" class="header-anchor">#</a> 4.1. 名词解释</h3> <p>在进一步了解这些指标之前，我们先来看几个名词解释：</p> <ul><li><p>Metric Name</p> <p>指标名称，比如logback_events_total表示日志事件发生的总次数。</p></li> <li><p>Tag</p> <p>每个指标下面可以有0到多个分类，比如logback_events_total下有一个<code>level</code>的分类，用来表示特定级别下的日志数量。</p></li></ul> <h3 id="_4-2-数据格式"><a href="#_4-2-数据格式" class="header-anchor">#</a> 4.2. 数据格式</h3> <p>IoTDB对外提供JMX和Prometheus格式的监控指标，对于JMX，可以通过<code>org.apache.iotdb.metrics</code>获取metrics指标。</p> <p>接下来我们以Prometheus格式为例对目前已有监控项进行说明。</p> <h3 id="_4-3-iotdb-默认指标"><a href="#_4-3-iotdb-默认指标" class="header-anchor">#</a> 4.3. IoTDB 默认指标</h3> <h4 id="_4-3-1-接入层"><a href="#_4-3-1-接入层" class="header-anchor">#</a> 4.3.1. 接入层</h4> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>entry_seconds_count</td> <td>name=""</td> <td>important</td> <td>接口累计访问次数</td> <td>entry_seconds_count{name="openSession",} 1.0</td></tr> <tr><td>entry_seconds_sum</td> <td>name=""</td> <td>important</td> <td>接口累计耗时(s)</td> <td>entry_seconds_sum{name="openSession",} 0.024</td></tr> <tr><td>entry_seconds_max</td> <td>name=""</td> <td>important</td> <td>接口最大耗时(s)</td> <td>entry_seconds_max{name="openSession",} 0.024</td></tr> <tr><td>quantity_total</td> <td>name="pointsIn"</td> <td>important</td> <td>系统累计写入点数</td> <td>quantity_total{name="pointsIn",} 1.0</td></tr> <tr><td>thrift_connections</td> <td>name=""</td> <td>core</td> <td>thrift当前连接数</td> <td>thrift_connections{name="RPC",} 1.0</td></tr> <tr><td>thrift_active_threads</td> <td>name=""</td> <td>core</td> <td>thrift worker线程数</td> <td>thrift_active_threads{name="RPC",} 1.0</td></tr></tbody></table> <h4 id="_4-3-2-task"><a href="#_4-3-2-task" class="header-anchor">#</a> 4.3.2. Task</h4> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>queue</td> <td>name="compaction_inner/compaction_cross/flush",<br>status="running/waiting"</td> <td>important</td> <td>当前时间任务数</td> <td>queue{name="flush",status="waiting",} 0.0<br>queue{name="compaction/flush",status="running",} 0.0</td></tr> <tr><td>cost_task_seconds_count</td> <td>name="inner_compaction/cross_compaction/flush"</td> <td>important</td> <td>任务累计发生次数</td> <td>cost_task_seconds_count{name="flush",} 1.0</td></tr> <tr><td>cost_task_seconds_max</td> <td>name="inner_compaction/cross_compaction/flush"</td> <td>important</td> <td>到目前为止任务耗时(s)最大的一次</td> <td>cost_task_seconds_max{name="flush",} 0.363</td></tr> <tr><td>cost_task_seconds_sum</td> <td>name="inner_compaction/cross_compaction/flush"</td> <td>important</td> <td>任务累计耗时(s)</td> <td>cost_task_seconds_sum{name="flush",} 0.363</td></tr> <tr><td>data_written</td> <td>name="compaction", <br>type="aligned/not-aligned/total"</td> <td>important</td> <td>合并文件时写入量</td> <td>data_written{name="compaction",type="total",} 10240</td></tr> <tr><td>data_read</td> <td>name="compaction"</td> <td>important</td> <td>合并文件时的读取量</td> <td>data_read={name="compaction",} 10240</td></tr> <tr><td>compaction_task_count</td> <td>name = "inner_compaction/cross_compaction", type="sequence/unsequence/cross"</td> <td>important</td> <td>合并任务个数</td> <td>compaction_task_count{name="inner_compaction",type="sequence",} 1</td></tr></tbody></table> <h4 id="_4-3-3-内存占用"><a href="#_4-3-3-内存占用" class="header-anchor">#</a> 4.3.3. 内存占用</h4> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>mem</td> <td>name="chunkMetaData/storageGroup/mtree"</td> <td>important</td> <td>chunkMetaData/storageGroup/mtree占用的内存（byte）</td> <td>mem{name="chunkMetaData",} 2050.0</td></tr></tbody></table> <h4 id="_4-3-4-缓存"><a href="#_4-3-4-缓存" class="header-anchor">#</a> 4.3.4. 缓存</h4> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>cache_hit</td> <td>name="chunk/timeSeriesMeta/bloomFilter/SchemaCache"</td> <td>important</td> <td>chunk/timeSeriesMeta/SchemaCache缓存命中率,bloomFilter拦截率</td> <td>cache_hit{name="chunk",} 80</td></tr> <tr><td>cache_total</td> <td>name="StorageGroup/SchemaPartition/DataPartition", type="hit/all"</td> <td>important</td> <td>StorageGroup/SchemaPartition/DataPartition 的命中/总次数</td> <td>cache_total{name="DataPartition",type="all",} 801.0</td></tr></tbody></table> <h4 id="_4-3-5-业务数据"><a href="#_4-3-5-业务数据" class="header-anchor">#</a> 4.3.5. 业务数据</h4> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>quantity</td> <td>name="timeSeries/storageGroup/device"</td> <td>important</td> <td>当前时间timeSeries/storageGroup/device的数量</td> <td>quantity{name="timeSeries",} 1.0</td></tr></tbody></table> <h4 id="_4-3-6-集群"><a href="#_4-3-6-集群" class="header-anchor">#</a> 4.3.6. 集群</h4> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>cluster_node_leader_count</td> <td>name=""</td> <td>important</td> <td>节点上<code>dataGroupLeader</code>的数量，用来观察leader是否分布均匀</td> <td>cluster_node_leader_count{name="127.0.0.1",} 2.0</td></tr> <tr><td>cluster_uncommitted_log</td> <td>name=""</td> <td>important</td> <td>节点<code>uncommitted_log</code>的数量</td> <td>cluster_uncommitted_log{name="127.0.0.1_Data-127.0.0.1-40010-raftId-0",} 0.0</td></tr> <tr><td>cluster_node_status</td> <td>name=":",type="ConfigNode/DataNode"</td> <td>important</td> <td>节点状态，0=Unkonwn 1=online</td> <td>cluster_node_status{name="EndPoint(0.0.0.0:22277)",type="ConfigNode",} 1.0</td></tr> <tr><td>cluster_elect_total</td> <td>name="",status="fail/win"</td> <td>important</td> <td>节点参与选举的次数及结果</td> <td>cluster_elect_total{name="127.0.0.1",status="win",} 1.0</td></tr> <tr><td>config_node</td> <td>name="total",status="Registered/Online/Unknown"</td> <td>core</td> <td>已注册/在线/离线 confignode 的节点数量</td> <td>config_node{name="total",status="Online",} 2.0</td></tr> <tr><td>data_node</td> <td>name="total",status="Registered/Online/Unknown"</td> <td>core</td> <td>已注册/在线/离线 datanode 的节点数量</td> <td>data_node{name="total",status="Registered",} 3.0</td></tr> <tr><td>partition_table</td> <td>name="number"</td> <td>core</td> <td>partition table表的个数</td> <td>partition_table{name="number",} 2.0</td></tr> <tr><td>region</td> <td>name="total/:",type="SchemaRegion/DataRegion"</td> <td>important</td> <td>全部或某个节点的schemaRegion/dataRegion个数</td> <td>region{name="127.0.0.1:6671",type="DataRegion",} 10.0</td></tr> <tr><td>region</td> <td>name="",type="SchemaRegion/DataRegion"</td> <td>normal</td> <td>存储组的DataRegion/Schema个数</td> <td>region{name="root.schema.sg1",type="DataRegion",} 14.0</td></tr> <tr><td>slot</td> <td>name="",type="schemaSlotNumber/dataSlotNumber"</td> <td>normal</td> <td>存储组的schemaSlot/dataSlot个数</td> <td>slot{name="root.schema.sg1",type="schemaSlotNumber",} 2.0</td></tr></tbody></table> <h3 id="_4-4-iotdb-预定义指标集"><a href="#_4-4-iotdb-预定义指标集" class="header-anchor">#</a> 4.4. IoTDB 预定义指标集</h3> <p>用户可以在<code>iotdb-metric.yml</code>文件中，修改<code>predefinedMetrics</code>的值来启用预定义指标集，目前有<code>JVM</code>、<code>LOGBACK</code>、<code>FILE</code>、<code>PROCESS</code>、<code>SYSYTEM</code>这五种。</p> <h4 id="_4-4-1-jvm"><a href="#_4-4-1-jvm" class="header-anchor">#</a> 4.4.1. JVM</h4> <h5 id="_4-4-1-1-线程"><a href="#_4-4-1-1-线程" class="header-anchor">#</a> 4.4.1.1. 线程</h5> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>jvm_threads_live_threads</td> <td>无</td> <td>important</td> <td>当前线程数</td> <td>jvm_threads_live_threads 25.0</td></tr> <tr><td>jvm_threads_daemon_threads</td> <td>无</td> <td>important</td> <td>当前daemon线程数</td> <td>jvm_threads_daemon_threads 12.0</td></tr> <tr><td>jvm_threads_peak_threads</td> <td>无</td> <td>important</td> <td>峰值线程数</td> <td>jvm_threads_peak_threads 28.0</td></tr> <tr><td>jvm_threads_states_threads</td> <td>state="runnable/blocked/waiting/timed-waiting/new/terminated"</td> <td>important</td> <td>当前处于各种状态的线程数</td> <td>jvm_threads_states_threads{state="runnable",} 10.0</td></tr></tbody></table> <h5 id="_4-4-1-2-垃圾回收"><a href="#_4-4-1-2-垃圾回收" class="header-anchor">#</a> 4.4.1.2. 垃圾回收</h5> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>jvm_gc_pause_seconds_count</td> <td>action="end of major GC/end of minor GC",cause="xxxx"</td> <td>important</td> <td>YGC/FGC发生次数及其原因</td> <td>jvm_gc_pause_seconds_count{action="end of major GC",cause="Metadata GC Threshold",} 1.0</td></tr> <tr><td>jvm_gc_pause_seconds_sum</td> <td>action="end of major GC/end of minor GC",cause="xxxx"</td> <td>important</td> <td>YGC/FGC累计耗时及其原因</td> <td>jvm_gc_pause_seconds_sum{action="end of major GC",cause="Metadata GC Threshold",} 0.03</td></tr> <tr><td>jvm_gc_pause_seconds_max</td> <td>action="end of major GC",cause="Metadata GC Threshold"</td> <td>important</td> <td>YGC/FGC最大耗时及其原因</td> <td>jvm_gc_pause_seconds_max{action="end of major GC",cause="Metadata GC Threshold",} 0.0</td></tr> <tr><td>jvm_gc_memory_promoted_bytes_total</td> <td>无</td> <td>important</td> <td>从GC之前到GC之后老年代内存池大小正增长的累计</td> <td>jvm_gc_memory_promoted_bytes_total 8425512.0</td></tr> <tr><td>jvm_gc_max_data_size_bytes</td> <td>无</td> <td>important</td> <td>老年代内存的历史最大值</td> <td>jvm_gc_max_data_size_bytes 2.863661056E9</td></tr> <tr><td>jvm_gc_live_data_size_bytes</td> <td>无</td> <td>important</td> <td>GC后老年代内存的大小</td> <td>jvm_gc_live_data_size_bytes 8450088.0</td></tr> <tr><td>jvm_gc_memory_allocated_bytes_total</td> <td>无</td> <td>important</td> <td>在一个GC之后到下一个GC之前年轻代增加的内存</td> <td>jvm_gc_memory_allocated_bytes_total 4.2979144E7</td></tr></tbody></table> <h5 id="_4-4-1-3-内存"><a href="#_4-4-1-3-内存" class="header-anchor">#</a> 4.4.1.3. 内存</h5> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>jvm_buffer_memory_used_bytes</td> <td>id="direct/mapped"</td> <td>important</td> <td>已经使用的缓冲区大小</td> <td>jvm_buffer_memory_used_bytes{id="direct",} 3.46728099E8</td></tr> <tr><td>jvm_buffer_total_capacity_bytes</td> <td>id="direct/mapped"</td> <td>important</td> <td>最大缓冲区大小</td> <td>jvm_buffer_total_capacity_bytes{id="mapped",} 0.0</td></tr> <tr><td>jvm_buffer_count_buffers</td> <td>id="direct/mapped"</td> <td>important</td> <td>当前缓冲区数量</td> <td>jvm_buffer_count_buffers{id="direct",} 183.0</td></tr> <tr><td>jvm_memory_committed_bytes</td> <td>{area="heap/nonheap",id="xxx",}</td> <td>important</td> <td>当前向JVM申请的内存大小</td> <td>jvm_memory_committed_bytes{area="heap",id="Par Survivor Space",} 2.44252672E8<br>jvm_memory_committed_bytes{area="nonheap",id="Metaspace",} 3.9051264E7<br></td></tr> <tr><td>jvm_memory_max_bytes</td> <td>{area="heap/nonheap",id="xxx",}</td> <td>important</td> <td>JVM最大内存</td> <td>jvm_memory_max_bytes{area="heap",id="Par Survivor Space",} 2.44252672E8<br>jvm_memory_max_bytes{area="nonheap",id="Compressed Class Space",} 1.073741824E9</td></tr> <tr><td>jvm_memory_used_bytes</td> <td>{area="heap/nonheap",id="xxx",}</td> <td>important</td> <td>JVM已使用内存大小</td> <td>jvm_memory_used_bytes{area="heap",id="Par Eden Space",} 1.000128376E9<br>jvm_memory_used_bytes{area="nonheap",id="Code Cache",} 2.9783808E7<br></td></tr></tbody></table> <h5 id="_4-4-1-4-classes"><a href="#_4-4-1-4-classes" class="header-anchor">#</a> 4.4.1.4. Classes</h5> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>jvm_classes_unloaded_classes_total</td> <td>无</td> <td>important</td> <td>jvm累计卸载的class数量</td> <td>jvm_classes_unloaded_classes_total 680.0</td></tr> <tr><td>jvm_classes_loaded_classes</td> <td>无</td> <td>important</td> <td>jvm累计加载的class数量</td> <td>jvm_classes_loaded_classes 5975.0</td></tr> <tr><td>jvm_compilation_time_ms_total</td> <td>{compiler="HotSpot 64-Bit Tiered Compilers",}</td> <td>important</td> <td>jvm耗费在编译上的时间</td> <td>jvm_compilation_time_ms_total{compiler="HotSpot 64-Bit Tiered Compilers",} 107092.0</td></tr></tbody></table> <h4 id="_4-4-2-文件-file"><a href="#_4-4-2-文件-file" class="header-anchor">#</a> 4.4.2. 文件（File）</h4> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>file_size</td> <td>name="wal/seq/unseq"</td> <td>important</td> <td>当前时间wal/seq/unseq文件大小(byte)</td> <td>file_size{name="wal",} 67.0</td></tr> <tr><td>file_count</td> <td>name="wal/seq/unseq"</td> <td>important</td> <td>当前时间wal/seq/unseq文件个数</td> <td>file_count{name="seq",} 1.0</td></tr></tbody></table> <h4 id="_4-4-3-日志-logback"><a href="#_4-4-3-日志-logback" class="header-anchor">#</a> 4.4.3. 日志(logback)</h4> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>logback_events_total</td> <td>{level="trace/debug/info/warn/error",}</td> <td>important</td> <td>trace/debug/info/warn/error日志累计数量</td> <td>logback_events_total{level="warn",} 0.0</td></tr></tbody></table> <h4 id="_4-4-4-进程-process"><a href="#_4-4-4-进程-process" class="header-anchor">#</a> 4.4.4. 进程（Process）</h4> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>process_cpu_load</td> <td>name="cpu"</td> <td>core</td> <td>process当前CPU占用率（%）</td> <td>process_cpu_load{name="process",} 5.0</td></tr> <tr><td>process_cpu_time</td> <td>name="cpu"</td> <td>core</td> <td>process累计占用CPU时间（ns)</td> <td>process_cpu_time{name="process",} 3.265625E9</td></tr> <tr><td>process_max_mem</td> <td>name="memory"</td> <td>core</td> <td>JVM最大可用内存</td> <td>process_max_mem{name="process",} 3.545759744E9</td></tr> <tr><td>process_used_mem</td> <td>name="memory"</td> <td>core</td> <td>JVM当前使用内存</td> <td>process_used_mem{name="process",} 4.6065456E7</td></tr> <tr><td>process_total_mem</td> <td>name="memory"</td> <td>core</td> <td>JVM当前已申请内存</td> <td>process_total_mem{name="process",} 2.39599616E8</td></tr> <tr><td>process_free_mem</td> <td>name="memory"</td> <td>core</td> <td>JVM当前剩余可用内存</td> <td>process_free_mem{name="process",} 1.94035584E8</td></tr> <tr><td>process_mem_ratio</td> <td>name="memory"</td> <td>core</td> <td>进程的内存占用比例</td> <td>process_mem_ratio{name="process",} 0.0</td></tr> <tr><td>process_threads_count</td> <td>name="process"</td> <td>core</td> <td>当前线程数</td> <td>process_threads_count{name="process",} 11.0</td></tr> <tr><td>process_status</td> <td>name="process"</td> <td>core</td> <td>进程存活状态，1.0为存活，0.0为终止</td> <td>process_status{name="process",} 1.0</td></tr></tbody></table> <h4 id="_4-4-5-系统-system"><a href="#_4-4-5-系统-system" class="header-anchor">#</a> 4.4.5. 系统（System）</h4> <table><thead><tr><th>Metric</th> <th>Tag</th> <th>level</th> <th>说明</th> <th>示例</th></tr></thead> <tbody><tr><td>sys_cpu_load</td> <td>name="cpu"</td> <td>core</td> <td>system当前CPU占用率（%）</td> <td>sys_cpu_load{name="system",} 15.0</td></tr> <tr><td>sys_cpu_cores</td> <td>name="cpu"</td> <td>core</td> <td>jvm可用处理器数</td> <td>sys_cpu_cores{name="system",} 16.0</td></tr> <tr><td>sys_total_physical_memory_size</td> <td>name="memory"</td> <td>core</td> <td>system最大物理内存</td> <td>sys_total_physical_memory_size{name="system",} 1.5950999552E10</td></tr> <tr><td>sys_free_physical_memory_size</td> <td>name="memory"</td> <td>core</td> <td>system当前剩余可用内存</td> <td>sys_free_physical_memory_size{name="system",} 4.532396032E9</td></tr> <tr><td>sys_total_swap_space_size</td> <td>name="memory"</td> <td>core</td> <td>system交换区最大空间</td> <td>sys_total_swap_space_size{name="system",} 2.1051273216E10</td></tr> <tr><td>sys_free_swap_space_size</td> <td>name="memory"</td> <td>core</td> <td>system交换区剩余可用空间</td> <td>sys_free_swap_space_size{name="system",} 2.931576832E9</td></tr> <tr><td>sys_committed_vm_size</td> <td>name="memory"</td> <td>important</td> <td>system保证可用于正在运行的进程的虚拟内存量</td> <td>sys_committed_vm_size{name="system",} 5.04344576E8</td></tr> <tr><td>sys_disk_total_space</td> <td>name="disk"</td> <td>core</td> <td>磁盘总大小</td> <td>sys_disk_total_space{name="system",} 5.10770798592E11</td></tr> <tr><td>sys_disk_free_space</td> <td>name="disk"</td> <td>core</td> <td>磁盘可用大小</td> <td>sys_disk_free_space{name="system",} 3.63467845632E11</td></tr></tbody></table> <h3 id="_4-5-自定义添加埋点"><a href="#_4-5-自定义添加埋点" class="header-anchor">#</a> 4.5. 自定义添加埋点</h3> <ul><li>如果想自己在IoTDB中添加更多Metrics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 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" class="icon outbound"><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="sr-only">(opens new window)</span></span></a>使用说明</li> <li>Metric 埋点定义规则 |
| <ul><li><code>Metric</code>：监控项的名称，比如<code>entry_seconds_count</code>为接口累计访问次数，file_size 为文件总数。</li> <li><code>Tags</code>：Key-Value对，用来明确被监控项，可选项 |
| <ul><li><code>name = xxx</code>：被监控项的名称，比如对<code>entry_seconds_count</code>这个监控项，name 的含义是被监控的接口名称。</li> <li><code>status = xxx</code>：被监控项的状态细分，比如监控 Task 的监控项可以通过该参数，将运行的 Task 和停止的 Task 分开。</li> <li><code>user = xxx</code>：被监控项和某个特定用户相关，比如统计root用户的写入总次数。</li> <li>根据具体情况自定义......</li></ul></li></ul></li> <li>监控指标级别含义： |
| <ul><li>线上运行默认启动级别为<code>Important</code>级，线下调试默认启动级别为<code>Normal</code>级，审核严格程度<code>Core > Important > Normal > All</code></li> <li><code>Core</code>：系统的核心指标，供<strong>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> <h2 id="_5-怎样获取这些metrics"><a href="#_5-怎样获取这些metrics" class="header-anchor">#</a> 5. 怎样获取这些metrics？</h2> <p>metric采集默认是关闭的，需要先到conf/iotdb-metric.yml中打开后启动server，目前也支持启动后，通过<code>load configuration</code>热加载。</p> <h3 id="_5-1-配置文件"><a href="#_5-1-配置文件" class="header-anchor">#</a> 5.1. 配置文件</h3> <div class="language-yaml line-numbers-mode"><pre class="language-yaml"><code><span class="token comment"># 是否启动监控模块，默认为false</span> |
| <span class="token key atrule">enableMetric</span><span class="token punctuation">:</span> <span class="token boolean important">false</span> |
| |
| <span class="token comment"># 是否启用操作延迟统计</span> |
| <span class="token key atrule">enablePerformanceStat</span><span class="token punctuation">:</span> <span class="token boolean important">false</span> |
| |
| <span class="token comment"># 数据提供方式，对外部通过jmx和prometheus协议提供metrics的数据, 可选参数：[JMX, PROMETHEUS, IOTDB],IOTDB是默认关闭的。</span> |
| <span class="token key atrule">metricReporterList</span><span class="token punctuation">:</span> |
| <span class="token punctuation">-</span> JMX |
| <span class="token punctuation">-</span> PROMETHEUS |
| |
| <span class="token comment"># 底层使用的metric架构，可选参数：[MICROMETER, DROPWIZARD]</span> |
| <span class="token key atrule">monitorType</span><span class="token punctuation">:</span> MICROMETER |
| |
| <span class="token comment"># 初始化metric的级别，可选参数: [CORE, IMPORTANT, NORMAL, ALL]</span> |
| <span class="token key atrule">metricLevel</span><span class="token punctuation">:</span> IMPORTANT |
| |
| <span class="token comment"># 预定义的指标集, 可选参数: [JVM, LOGBACK, FILE, PROCESS, SYSTEM]</span> |
| <span class="token key atrule">predefinedMetrics</span><span class="token punctuation">:</span> |
| <span class="token punctuation">-</span> JVM |
| <span class="token punctuation">-</span> FILE |
| |
| <span class="token comment"># Prometheus Reporter 使用的端口</span> |
| <span class="token key atrule">prometheusExporterPort</span><span class="token punctuation">:</span> <span class="token number">9091</span> |
| |
| <span class="token comment"># IoTDB Reporter相关的配置</span> |
| <span class="token key atrule">ioTDBReporterConfig</span><span class="token punctuation">:</span> |
| <span class="token key atrule">host</span><span class="token punctuation">:</span> 127.0.0.1 |
| <span class="token key atrule">port</span><span class="token punctuation">:</span> <span class="token number">6667</span> |
| <span class="token key atrule">username</span><span class="token punctuation">:</span> root |
| <span class="token key atrule">password</span><span class="token punctuation">:</span> root |
| <span class="token key atrule">maxConnectionNumber</span><span class="token punctuation">:</span> <span class="token number">3</span> |
| <span class="token key atrule">database</span><span class="token punctuation">:</span> _metric |
| <span class="token key atrule">pushPeriodInSecond</span><span class="token punctuation">:</span> <span class="token number">15</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br><span class="line-number">18</span><br><span class="line-number">19</span><br><span class="line-number">20</span><br><span class="line-number">21</span><br><span class="line-number">22</span><br><span class="line-number">23</span><br><span class="line-number">24</span><br><span class="line-number">25</span><br><span class="line-number">26</span><br><span class="line-number">27</span><br><span class="line-number">28</span><br><span class="line-number">29</span><br><span class="line-number">30</span><br><span class="line-number">31</span><br><span class="line-number">32</span><br><span class="line-number">33</span><br><span class="line-number">34</span><br></div></div><p>然后按照下面的操作获取metrics数据</p> <ol><li>打开配置文件中的metric开关</li> <li>其他参数使用默认配置即可</li> <li>启动IoTDB</li> <li>打开浏览器或者用<code>curl</code> 访问 <code>http://servier_ip:9091/metrics</code>, 就能看到metric数据了:</li></ol> <div class="language- line-numbers-mode"><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 |
| # HELP file_size |
| # TYPE file_size gauge |
| file_size{name="wal",} 0.0 |
| file_size{name="unseq",} 0.0 |
| file_size{name="seq",} 560.0 |
| # HELP queue |
| # TYPE queue gauge |
| queue{name="flush",status="waiting",} 0.0 |
| queue{name="flush",status="running",} 0.0 |
| # HELP quantity |
| # TYPE quantity gauge |
| quantity{name="timeSeries",} 1.0 |
| quantity{name="storageGroup",} 1.0 |
| quantity{name="device",} 1.0 |
| # HELP logback_events_total Number of error level events that made it to the logs |
| # TYPE logback_events_total counter |
| logback_events_total{level="warn",} 0.0 |
| logback_events_total{level="debug",} 2760.0 |
| logback_events_total{level="error",} 0.0 |
| logback_events_total{level="trace",} 0.0 |
| logback_events_total{level="info",} 71.0 |
| # HELP mem |
| # TYPE mem gauge |
| mem{name="storageGroup",} 0.0 |
| mem{name="mtree",} 1328.0 |
| ... |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br><span class="line-number">18</span><br><span class="line-number">19</span><br><span class="line-number">20</span><br><span class="line-number">21</span><br><span class="line-number">22</span><br><span class="line-number">23</span><br><span class="line-number">24</span><br><span class="line-number">25</span><br><span class="line-number">26</span><br><span class="line-number">27</span><br><span class="line-number">28</span><br><span class="line-number">29</span><br><span class="line-number">30</span><br><span class="line-number">31</span><br><span class="line-number">32</span><br></div></div><h3 id="_5-2-对接prometheus和grafana"><a href="#_5-2-对接prometheus和grafana" class="header-anchor">#</a> 5.2. 对接Prometheus和Grafana</h3> <p>如上面所述，IoTDB对外透出标准Prometheus格式的metrics数据，可以直接和Prometheus以及Grafana集成。</p> <p>IoTDB、Prometheus、Grafana三者的关系如下图所示:</p> <p><img src="https://raw.githubusercontent.com/apache/iotdb-bin-resources/main/docs/UserGuide/System%20Tools/Metrics/iotdb_prometheus_grafana.png" alt="iotdb_prometheus_grafana"></p> <ol><li>IoTDB在运行过程中持续收集metrics数据。</li> <li>Prometheus以固定的间隔（可配置）从IoTDB的HTTP接口拉取metrics数据。</li> <li>Prometheus将拉取到的metrics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metrics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"><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-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br></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 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" class="icon outbound"><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="sr-only">(opens 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 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" class="icon outbound"><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="sr-only">(opens 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 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" class="icon outbound"><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="sr-only">(opens 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 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" class="icon outbound"><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="sr-only">(opens new window)</span></span></a></p> <h3 id="_5-3-apache-iotdb-dashboard"><a href="#_5-3-apache-iotdb-dashboard" class="header-anchor">#</a> 5.3. Apache IoTDB Dashboard</h3> <p>我们提供了Apache IoTDB Dashboard，在Grafana中显示的效果图如下所示：</p> <p><img src="https://github.com/apache/iotdb-bin-resources/blob/main/docs/UserGuide/System%20Tools/Metrics/dashboard.png" alt="Apache IoTDB Dashboard"></p> <h4 id="_5-3-1-获取方式"><a href="#_5-3-1-获取方式" class="header-anchor">#</a> 5.3.1. 获取方式</h4> <ol><li>您可以在grafana-metrics-example文件夹下获取到对应不同iotdb版本的Dashboard的json文件。</li> <li>您可以访问<a href="https://grafana.com/grafana/dashboards/" target="_blank" rel="noopener noreferrer">Grafana Dashboard官网<span><svg 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" class="icon outbound"><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="sr-only">(opens new window)</span></span></a>搜索<code>Apache IoTDB Dashboard</code>并使用</li></ol> <p>在创建Grafana时，您可以选择Import刚刚下载的json文件，并为Apache IoTDB Dashboard选择对应目标数据源。</p> <h4 id="_5-3-2-apache-iotdb-standalone-dashboard-说明"><a href="#_5-3-2-apache-iotdb-standalone-dashboard-说明" class="header-anchor">#</a> 5.3.2. Apache IoTDB StandAlone Dashboard 说明</h4> <blockquote><p>除特殊说明的监控项以外，以下监控项均保证在Important级别的监控框架中可用。</p></blockquote> <ol><li><code>Overview</code>：系统概述 |
| <ol><li><code>The number of entity</code>：实体数量，目前包含时间序列的数量。</li> <li><code>write point per minute</code>：每分钟系统累计写入点数。</li> <li><code>storage group used memory</code>：每个存储组使用的内存大小。</li></ol></li> <li><code>Interface</code>：接口 |
| <ol><li><code>The QPS of Interface</code>：系统接口每秒钟访问次数</li> <li><code>The time consumed of Interface</code>：系统接口的平均耗时</li> <li><code>Cache hit rate</code>：缓存命中率。</li></ol></li> <li><code>Engine</code>：引擎 |
| <ol><li><code>Task number(pending and active)</code>：系统中不同状态的任务个数。</li> <li><code>The time consumed of tasking(pending and active)</code>：系统中不同状态的任务的耗时。</li></ol></li> <li><code>System</code>：系统 |
| <ol><li><code>The size of file</code>：IoTDB系统相关的文件大小，包括wal下的文件总大小、seq下的tsfile文件总大小、unseq下的tsfile文件总大小。</li> <li><code>The number of file</code>：IoTDB系统相关的文件个数，包括wal下的文件个数、seq下的tsfile文件个数、unseq下的tsfile文件个数。</li> <li><code>The number of GC(per minute)</code>：IoTDB每分钟的GC数量，包括Young GC和Full GC。</li> <li><code>The time consumed of GC(per minute)</code>：IoTDB的每分钟平均GC耗时，包括Young GC和Full GC。</li> <li><code>Heap Memory</code>：IoTDB的堆内存。</li> <li><code>Off-heap Memory</code>：IoTDB的堆外内存。</li> <li><code>The number of Java Thread</code>：IoTDB的不同状态线程数。</li></ol></li></ol> <h4 id="_5-3-3-apache-iotdb-confignode-dashboard-说明"><a href="#_5-3-3-apache-iotdb-confignode-dashboard-说明" class="header-anchor">#</a> 5.3.3. Apache IoTDB ConfigNode Dashboard 说明</h4> <blockquote><p>除特殊说明的监控项以外，以下监控项均保证在Important级别的监控框架中可用。</p></blockquote> <ol><li><code>Overview</code>：系统概述 |
| <ol><li><code>Online ConfigNode</code>：线上ConfigNode个数</li> <li><code>Online DataNode</code>：线上DataNode个数</li> <li><code>Storage Group</code>：存储组数量</li> <li><code>TotalRegion</code>：Region总数量</li> <li><code>DataRegion</code>：DataRegion总数量</li> <li><code>SchemaRegion</code>：SchemaRegion总数量</li></ol></li> <li><code>Region</code>：Region分布情况 |
| <ol><li><code>Total Region in Node</code>：不同Node的Region总数量</li> <li><code>Region in Node</code>：不同Node的Region数量，包括SchemaRegion、DataRegion</li> <li><code>Region in Storage Group</code>(Normal级别)：不同存储组的Region数量，包括SchemaRegion、DataRegion</li> <li><code>Slot in Storage Group</code>(Normal级别)：不同存储组的Slot数量，包括DataSlot数量和SchemaSlot数量</li></ol></li> <li><code>System</code>：系统 |
| <ol><li><code>The number of GC(per minute)</code>：IoTDB每分钟的GC数量，包括Young GC和Full GC。</li> <li><code>The time consumed of GC(per minute)</code>：IoTDB的每分钟平均GC耗时，包括Young GC和Full GC。</li> <li><code>Heap Memory</code>：IoTDB的堆内存。</li> <li><code>Off-heap Memory</code>：IoTDB的堆外内存。</li> <li><code>The number of Java Thread</code>：IoTDB的不同状态线程数。</li> <li><code>The time consumed of Interface</code>：系统接口的平均耗时</li></ol></li></ol> <h4 id="_5-3-4-apache-iotdb-datanode-dashboard-说明"><a href="#_5-3-4-apache-iotdb-datanode-dashboard-说明" class="header-anchor">#</a> 5.3.4. Apache IoTDB DataNode Dashboard 说明</h4> <blockquote><p>除特殊说明的监控项以外，以下监控项均保证在Important级别的监控框架中可用。</p></blockquote> <ol><li><code>Overview</code>：系统概述 |
| <ol><li><code>The number of entity</code>：实体数量，目前包含时间序列的数量。</li> <li><code>write point per minute</code>：每分钟系统累计写入点数。</li> <li><code>storage group used memory</code>：每个存储组使用的内存大小。</li></ol></li> <li><code>Interface</code>：接口 |
| <ol><li><code>The QPS of Interface</code>：系统接口每秒钟访问次数</li> <li><code>The time consumed of Interface</code>：系统接口的平均耗时</li></ol></li> <li><code>Engine</code>：引擎 |
| <ol><li><code>Task number(pending and active)</code>：系统中不同状态的任务个数。</li> <li><code>The time consumed of tasking(pending and active)</code>：系统中不同状态的任务的耗时。</li> <li><code>Cache hit rate</code>：缓存命中率。</li></ol></li> <li><code>System</code>：系统 |
| <ol><li><code>The size of file</code>：IoTDB系统相关的文件大小，包括wal下的文件总大小、seq下的tsfile文件总大小、unseq下的tsfile文件总大小。</li> <li><code>The number of file</code>：IoTDB系统相关的文件个数，包括wal下的文件个数、seq下的tsfile文件个数、unseq下的tsfile文件个数。</li> <li><code>The number of GC(per minute)</code>：IoTDB每分钟的GC数量，包括Young GC和Full GC。</li> <li><code>The time consumed of GC(per minute)</code>：IoTDB的每分钟平均GC耗时，包括Young GC和Full GC。</li> <li><code>Heap Memory</code>：IoTDB的堆内存。</li> <li><code>Off-heap Memory</code>：IoTDB的堆外内存。</li> <li><code>The number of Java Thread</code>：IoTDB的不同状态线程数。</li></ol></li></ol></div> <div class="page-nav"><p class="inner"><span class="prev"> |
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