| <!doctype html><html lang=zh-cn class=no-js><head><meta name=ROBOTS content="INDEX, FOLLOW"><link rel=canonical href=https://cn.dubbo.apache.org/zh-cn/blog/2023/02/20/%E6%8C%87%E6%A0%87%E5%9F%8B%E7%82%B9/><script>var _hmt=_hmt||[];(function(){var e,t=document.createElement("script");t.src="https://hm.baidu.com/hm.js?3b78f49ba47181e4d998a66b689446e9",e=document.getElementsByTagName("script")[0],e.parentNode.insertBefore(t,e)})()</script><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta http-equiv=Content-Security-Policy content="frame-src *"><meta name=generator content="Hugo 0.122.0"><link rel="shortcut icon" type=image/png href=/imgs/favicon.png><link rel=apple-touch-icon href=/favicons/apple-touch-icon-180x180.png sizes=180x180><link rel=manifest href=/manifest.webmanifest><title>指标埋点 | Apache Dubbo</title><meta property="og:title" content="指标埋点"> |
| <meta property="og:description" content="概述 1. 指标接入说明 2. 指标体系设计 Dubbo的指标体系，总共涉及三块，指标收集、本地聚合、指标推送 |
| 指标收集：将Dubbo内部需要监控的指标推送至统一的Collector中进行存储 本地聚合：指标收集获取的均为基础指标，而一些分位数指标则需通过本地聚合计算得出 指标推送：收集和聚合后的指标通过一定的方式推送至第三方服务器，目前只涉及Prometheus 3. 结构设计 移除原来与 Metrics 相关的类 创建新模块 dubbo-metrics/dubbo-metrics-api、dubbo-metrics/dubbo-metrics-prometheus，MetricsConfig 作为该模块的配置类 使用micrometer，在Collector中使用基本类型代表指标，如Long、Double等，并在dubbo-metrics-api中引入micrometer，由micrometer对内部指标进行转换 4. 数据流转 5. 目标 指标接口将提供一个 MetricsService，该 Service 不仅提供柔性服务所的接口级数据，也提供所有指标的查询方式，其中方法级指标的查询的接口可按如下方式声明 |
| public interface MetricsService { /** * Default {@link MetricsService} extension name. */ String DEFAULT_EXTENSION_NAME = "default"; /** * The contract version of {@link MetricsService}, the future update must make sure compatible. */ String VERSION = "1.0.0"; /** * Get metrics by prefixes * * @param categories categories * @return metrics - key=MetricCategory value=MetricsEntityList */ Map<MetricsCategory, List<MetricsEntity>> getMetricsByCategories(List<MetricsCategory> categories); /** * Get metrics by interface and prefixes * * @param serviceUniqueName serviceUniqueName (eg."><meta property="og:type" content="article"><meta property="og:url" content="https://cn.dubbo.apache.org/zh-cn/blog/2023/02/20/%E6%8C%87%E6%A0%87%E5%9F%8B%E7%82%B9/"><meta property="article:section" content="blog"><meta property="article:published_time" content="2023-02-20T00:00:00+00:00"><meta property="article:modified_time" content="2023-06-18T13:37:03+08:00"><meta itemprop=name content="指标埋点"><meta itemprop=description content="概述 1. 指标接入说明 2. 指标体系设计 Dubbo的指标体系，总共涉及三块，指标收集、本地聚合、指标推送 |
| 指标收集：将Dubbo内部需要监控的指标推送至统一的Collector中进行存储 本地聚合：指标收集获取的均为基础指标，而一些分位数指标则需通过本地聚合计算得出 指标推送：收集和聚合后的指标通过一定的方式推送至第三方服务器，目前只涉及Prometheus 3. 结构设计 移除原来与 Metrics 相关的类 创建新模块 dubbo-metrics/dubbo-metrics-api、dubbo-metrics/dubbo-metrics-prometheus，MetricsConfig 作为该模块的配置类 使用micrometer，在Collector中使用基本类型代表指标，如Long、Double等，并在dubbo-metrics-api中引入micrometer，由micrometer对内部指标进行转换 4. 数据流转 5. 目标 指标接口将提供一个 MetricsService，该 Service 不仅提供柔性服务所的接口级数据，也提供所有指标的查询方式，其中方法级指标的查询的接口可按如下方式声明 |
| public interface MetricsService { /** * Default {@link MetricsService} extension name. */ String DEFAULT_EXTENSION_NAME = "default"; /** * The contract version of {@link MetricsService}, the future update must make sure compatible. */ String VERSION = "1.0.0"; /** * Get metrics by prefixes * * @param categories categories * @return metrics - key=MetricCategory value=MetricsEntityList */ Map<MetricsCategory, List<MetricsEntity>> getMetricsByCategories(List<MetricsCategory> categories); /** * Get metrics by interface and prefixes * * @param serviceUniqueName serviceUniqueName (eg."><meta itemprop=datePublished content="2023-02-20T00:00:00+00:00"><meta itemprop=dateModified content="2023-06-18T13:37:03+08:00"><meta itemprop=wordCount content="1756"><meta itemprop=keywords content><meta name=twitter:card content="summary"><meta name=twitter:title content="指标埋点"><meta name=twitter:description content="概述 1. 指标接入说明 2. 指标体系设计 Dubbo的指标体系，总共涉及三块，指标收集、本地聚合、指标推送 |
| 指标收集：将Dubbo内部需要监控的指标推送至统一的Collector中进行存储 本地聚合：指标收集获取的均为基础指标，而一些分位数指标则需通过本地聚合计算得出 指标推送：收集和聚合后的指标通过一定的方式推送至第三方服务器，目前只涉及Prometheus 3. 结构设计 移除原来与 Metrics 相关的类 创建新模块 dubbo-metrics/dubbo-metrics-api、dubbo-metrics/dubbo-metrics-prometheus，MetricsConfig 作为该模块的配置类 使用micrometer，在Collector中使用基本类型代表指标，如Long、Double等，并在dubbo-metrics-api中引入micrometer，由micrometer对内部指标进行转换 4. 数据流转 5. 目标 指标接口将提供一个 MetricsService，该 Service 不仅提供柔性服务所的接口级数据，也提供所有指标的查询方式，其中方法级指标的查询的接口可按如下方式声明 |
| public interface MetricsService { /** * Default {@link MetricsService} extension name. */ String DEFAULT_EXTENSION_NAME = "default"; /** * The contract version of {@link MetricsService}, the future update must make sure compatible. */ String VERSION = "1.0.0"; /** * Get metrics by prefixes * * @param categories categories * @return metrics - key=MetricCategory value=MetricsEntityList */ Map<MetricsCategory, List<MetricsEntity>> getMetricsByCategories(List<MetricsCategory> categories); /** * Get metrics by interface and prefixes * * @param serviceUniqueName serviceUniqueName (eg."><script async src="https://www.googletagmanager.com/gtag/js?id=G-NM6FFMT51J"></script><script>var doNotTrack=!1;if(!doNotTrack){window.dataLayer=window.dataLayer||[];function gtag(){dataLayer.push(arguments)}gtag("js",new Date),gtag("config","G-NM6FFMT51J",{anonymize_ip:!1})}</script><link rel=preload href=/scss/main.min.f77e221bcdbe0cadb996060fe82063c747b60c229a1f8bbf0ee529adbadd84fa.css as=style><link href=/scss/main.min.f77e221bcdbe0cadb996060fe82063c747b60c229a1f8bbf0ee529adbadd84fa.css rel=stylesheet integrity><script src=/js/jquery-3.5.1.min.js integrity="sha256-9/aliU8dGd2tb6OSsuzixeV4y/faTqgFtohetphbbj0=" crossorigin=anonymous></script><meta name=theme-color content="#326ce5"><link rel=stylesheet href=/css/feature-states.css><meta name=description content="概述 1. 指标接入说明 2. 指标体系设计 Dubbo的指标体系，总共涉及三块，指标收集、本地聚合、指标推送 |
| 指标收集：将Dubbo内部需要监控的指标推送至统一的Collector中进行存储 本地聚合：指标收集获取的均为基础指标，而一些分位数指标则需通过本地聚合计算得出 指标推送：收集和聚合后的指标通过一定的方式推送至第三方服务器，目前只涉及Prometheus 3. 结构设计 移除原来与 Metrics 相关的类 创建新模块 dubbo-metrics/dubbo-metrics-api、dubbo-metrics/dubbo-metrics-prometheus，MetricsConfig 作为该模块的配置类 使用micrometer，在Collector中使用基本类型代表指标，如Long、Double等，并在dubbo-metrics-api中引入micrometer，由micrometer对内部指标进行转换 4. 数据流转 5. 目标 指标接口将提供一个 MetricsService，该 Service 不仅提供柔性服务所的接口级数据，也提供所有指标的查询方式，其中方法级指标的查询的接口可按如下方式声明 |
| public interface MetricsService { /** * Default {@link MetricsService} extension name. */ String DEFAULT_EXTENSION_NAME = "default"; /** * The contract version of {@link MetricsService}, the future update must make sure compatible. */ String VERSION = "1.0.0"; /** * Get metrics by prefixes * * @param categories categories * @return metrics - key=MetricCategory value=MetricsEntityList */ Map<MetricsCategory, List<MetricsEntity>> getMetricsByCategories(List<MetricsCategory> categories); /** * Get metrics by interface and prefixes * * @param serviceUniqueName serviceUniqueName (eg."><meta property="og:description" content="概述 1. 指标接入说明 2. 指标体系设计 Dubbo的指标体系，总共涉及三块，指标收集、本地聚合、指标推送 |
| 指标收集：将Dubbo内部需要监控的指标推送至统一的Collector中进行存储 本地聚合：指标收集获取的均为基础指标，而一些分位数指标则需通过本地聚合计算得出 指标推送：收集和聚合后的指标通过一定的方式推送至第三方服务器，目前只涉及Prometheus 3. 结构设计 移除原来与 Metrics 相关的类 创建新模块 dubbo-metrics/dubbo-metrics-api、dubbo-metrics/dubbo-metrics-prometheus，MetricsConfig 作为该模块的配置类 使用micrometer，在Collector中使用基本类型代表指标，如Long、Double等，并在dubbo-metrics-api中引入micrometer，由micrometer对内部指标进行转换 4. 数据流转 5. 目标 指标接口将提供一个 MetricsService，该 Service 不仅提供柔性服务所的接口级数据，也提供所有指标的查询方式，其中方法级指标的查询的接口可按如下方式声明 |
| public interface MetricsService { /** * Default {@link MetricsService} extension name. */ String DEFAULT_EXTENSION_NAME = "default"; /** * The contract version of {@link MetricsService}, the future update must make sure compatible. */ String VERSION = "1.0.0"; /** * Get metrics by prefixes * * @param categories categories * @return metrics - key=MetricCategory value=MetricsEntityList */ Map<MetricsCategory, List<MetricsEntity>> getMetricsByCategories(List<MetricsCategory> categories); /** * Get metrics by interface and prefixes * * @param serviceUniqueName serviceUniqueName (eg."><meta name=twitter:description content="概述 1. 指标接入说明 2. 指标体系设计 Dubbo的指标体系，总共涉及三块，指标收集、本地聚合、指标推送 |
| 指标收集：将Dubbo内部需要监控的指标推送至统一的Collector中进行存储 本地聚合：指标收集获取的均为基础指标，而一些分位数指标则需通过本地聚合计算得出 指标推送：收集和聚合后的指标通过一定的方式推送至第三方服务器，目前只涉及Prometheus 3. 结构设计 移除原来与 Metrics 相关的类 创建新模块 dubbo-metrics/dubbo-metrics-api、dubbo-metrics/dubbo-metrics-prometheus，MetricsConfig 作为该模块的配置类 使用micrometer，在Collector中使用基本类型代表指标，如Long、Double等，并在dubbo-metrics-api中引入micrometer，由micrometer对内部指标进行转换 4. 数据流转 5. 目标 指标接口将提供一个 MetricsService，该 Service 不仅提供柔性服务所的接口级数据，也提供所有指标的查询方式，其中方法级指标的查询的接口可按如下方式声明 |
| public interface MetricsService { /** * Default {@link MetricsService} extension name. */ String DEFAULT_EXTENSION_NAME = "default"; /** * The contract version of {@link MetricsService}, the future update must make sure compatible. */ String VERSION = "1.0.0"; /** * Get metrics by prefixes * * @param categories categories * @return metrics - key=MetricCategory value=MetricsEntityList */ Map<MetricsCategory, List<MetricsEntity>> getMetricsByCategories(List<MetricsCategory> categories); /** * Get metrics by interface and prefixes * * @param serviceUniqueName serviceUniqueName (eg."><meta property="og:url" content="https://cn.dubbo.apache.org/zh-cn/blog/2023/02/20/%E6%8C%87%E6%A0%87%E5%9F%8B%E7%82%B9/"><meta property="og:title" content="指标埋点"><meta name=twitter:title content="指标埋点"><meta name=twitter:image:alt content="Apache Dubbo"><meta property="og:image" content="/imgs/docs3-v2/java-sdk/observability/dataflow.png"><meta property="og:type" content="article"><meta name=viewport content="width=device-width"><script async defer src=/js/github-buttons.js></script><link href=/css/community.css rel=stylesheet><link href=/css/contactus.css rel=stylesheet><link href=/css/language.css rel=stylesheet><script src=/js/script.js></script></head><body class="td-page td-documentation"><header><nav class="js-navbar-scroll navbar navbar-expand navbar-dark flex-column flex-md-row td-navbar" data-auto-burger=primary><a class=navbar-brand href=/zh-cn/><span class=navbar-logo></span><span class="text-uppercase font-weight-bold">Apache Dubbo</span></a><div class="td-navbar-nav-scroll ml-md-auto" id=main_navbar><ul class="navbar-nav mt-2 mt-lg-0"><li class="nav-item mr-4 mb-2 mb-lg-0"><a class=nav-link href=/zh-cn/overview/home/><span>文档</span></a></li><li class="nav-item mr-4 mb-2 mb-lg-0"><a class="nav-link active" href=/zh-cn/blog/><span class=active>博客</span></a></li><li class="nav-item mr-4 mb-2 mb-lg-0"><a class=nav-link href=/zh-cn/download/><span>版本发布</span></a></li><li class="nav-item mr-4 mb-2 mb-lg-0"><a class=nav-link href=/zh-cn/contact/><span>联系社区</span></a></li><li class="nav-item mr-4 mb-2 mb-lg-0"><a class=nav-link href=https://start.dubbo.apache.org/bootstrap.html target=_blank><span>Initializer</span><i class='fas fa-external-link-alt'></i></a></li><li class="nav-item mr-4 mb-2 mb-lg-0"><a class=nav-link href=/zh-cn/github/><span>Github</span><i class='fa-brands fa-github'></i></a></li><li class="nav-item dropdown d-lg-block"><a class="nav-link dropdown-toggle" href=# id=navbarDropdownMenuLink role=button data-toggle=dropdown aria-haspopup=true aria-expanded=false>中文</a><div class="dropdown-menu dropdown-menu-right" aria-labelledby=navbarDropdownMenuLink><a class=dropdown-item href=/en/>English</a></div></li><li class="nav-item dropdown d-lg-block"><div class="nav-item d-none d-lg-block"></div></li></ul></div></nav><section class="header-hero text-white pb-0 light-text"></section></header><div class="container-fluid td-outer"><div class=td-main><div class="row flex-md-nowrap"><div class="col-12 col-md-3 col-xl-2 td-sidebar d-print-none"><script>$(function(){$("#td-section-nav a").removeClass("active"),$("#td-section-nav #m-zh-cnblog20230220e68c87e6a087e59f8be782b9").addClass("active"),$("#td-section-nav #m-zh-cnblog20230220e68c87e6a087e59f8be782b9-li span").addClass("td-sidebar-nav-active-item"),$("#td-section-nav #m-zh-cnblog20230220e68c87e6a087e59f8be782b9").parents("li").addClass("active-path"),$("#td-section-nav li.active-path").addClass("show"),$("#td-section-nav li.active-path").children("input").prop("checked",!0),$("#td-section-nav #m-zh-cnblog20230220e68c87e6a087e59f8be782b9-li").siblings("li").addClass("show"),$("#td-section-nav #m-zh-cnblog20230220e68c87e6a087e59f8be782b9-li").children("ul").children("li").addClass("show"),$("#td-sidebar-menu").toggleClass("d-none")})</script><div id=td-sidebar-menu class="td-sidebar__inner d-none"><div id=content-mobile><form class="td-sidebar__search d-flex align-items-center"><button class="btn btn-link td-sidebar__toggle d-md-none p-0 ml-3 fas fa-bars" type=button data-toggle=collapse data-target=#td-section-nav aria-controls=td-docs-nav aria-expanded=false aria-label="Toggle section navigation"></button></form></div><div id=content-desktop></div><nav class="collapse td-sidebar-nav foldable-nav" id=td-section-nav><ul class="td-sidebar-nav__section pr-md-3 ul-0"><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-zh-cnblog-li><ul class=ul-1><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-zh-cnblognews-li><input type=checkbox id=m-zh-cnblognews-check> |
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| <label for=m-zh-cnblog20180807e59ca8-dubbo-e4b8ade4bdbfe794a8e6b3a8e8a7a3-check><a href=/zh-cn/blog/2018/08/07/%E5%9C%A8-dubbo-%E4%B8%AD%E4%BD%BF%E7%94%A8%E6%B3%A8%E8%A7%A3/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20180807e59ca8-dubbo-e4b8ade4bdbfe794a8e6b3a8e8a7a3><span>在 Dubbo 中使用注解</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog20180722dubbo-27x-repackage-e5908ee79a84e585bce5aeb9e5ae9ee78eb0e696b9e6a188-li><input type=checkbox id=m-zh-cnblog20180722dubbo-27x-repackage-e5908ee79a84e585bce5aeb9e5ae9ee78eb0e696b9e6a188-check> |
| <label for=m-zh-cnblog20180722dubbo-27x-repackage-e5908ee79a84e585bce5aeb9e5ae9ee78eb0e696b9e6a188-check><a href=/zh-cn/blog/2018/07/22/dubbo-2.7.x-repackage-%E5%90%8E%E7%9A%84%E5%85%BC%E5%AE%B9%E5%AE%9E%E7%8E%B0%E6%96%B9%E6%A1%88/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20180722dubbo-27x-repackage-e5908ee79a84e585bce5aeb9e5ae9ee78eb0e696b9e6a188><span>Dubbo 2.7.x repackage 后的兼容实现方案</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog20180712dubbo-e4b88ae4b88be69687e4bfa1e681af-li><input type=checkbox id=m-zh-cnblog20180712dubbo-e4b88ae4b88be69687e4bfa1e681af-check> |
| <label for=m-zh-cnblog20180712dubbo-e4b88ae4b88be69687e4bfa1e681af-check><a href=/zh-cn/blog/2018/07/12/dubbo-%E4%B8%8A%E4%B8%8B%E6%96%87%E4%BF%A1%E6%81%AF/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20180712dubbo-e4b88ae4b88be69687e4bfa1e681af><span>Dubbo 上下文信息</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog20180701e7acace4b880e4b8aa-dubbo-filter-li><input type=checkbox id=m-zh-cnblog20180701e7acace4b880e4b8aa-dubbo-filter-check> |
| <label for=m-zh-cnblog20180701e7acace4b880e4b8aa-dubbo-filter-check><a href=/zh-cn/blog/2018/07/01/%E7%AC%AC%E4%B8%80%E4%B8%AA-dubbo-filter/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20180701e7acace4b880e4b8aa-dubbo-filter><span>第一个 Dubbo Filter</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog20180626e59b9ee5a3b0e6b58be8af95-li><input type=checkbox id=m-zh-cnblog20180626e59b9ee5a3b0e6b58be8af95-check> |
| <label for=m-zh-cnblog20180626e59b9ee5a3b0e6b58be8af95-check><a href=/zh-cn/blog/2018/06/26/%E5%9B%9E%E5%A3%B0%E6%B5%8B%E8%AF%95/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20180626e59b9ee5a3b0e6b58be8af95><span>回声测试</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog20180603e4bba5-dubbo-e4b8bae4be8be8818ae8818ae5a682e4bd95e59091e5bc80e6ba90e9a1b9e79baee5819ae8b4a1e78cae-li><input type=checkbox id=m-zh-cnblog20180603e4bba5-dubbo-e4b8bae4be8be8818ae8818ae5a682e4bd95e59091e5bc80e6ba90e9a1b9e79baee5819ae8b4a1e78cae-check> |
| <label for=m-zh-cnblog20180603e4bba5-dubbo-e4b8bae4be8be8818ae8818ae5a682e4bd95e59091e5bc80e6ba90e9a1b9e79baee5819ae8b4a1e78cae-check><a href=/zh-cn/blog/2018/06/03/%E4%BB%A5-dubbo-%E4%B8%BA%E4%BE%8B%E8%81%8A%E8%81%8A%E5%A6%82%E4%BD%95%E5%90%91%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%E5%81%9A%E8%B4%A1%E7%8C%AE/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20180603e4bba5-dubbo-e4b8bae4be8be8818ae8818ae5a682e4bd95e59091e5bc80e6ba90e9a1b9e79baee5819ae8b4a1e78cae><span>以 Dubbo 为例，聊聊如何向开源项目做贡献</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog20180521dubbo-e5a496e983a8e58c96e9858de7bdae-li><input type=checkbox id=m-zh-cnblog20180521dubbo-e5a496e983a8e58c96e9858de7bdae-check> |
| <label for=m-zh-cnblog20180521dubbo-e5a496e983a8e58c96e9858de7bdae-check><a href=/zh-cn/blog/2018/05/21/dubbo-%E5%A4%96%E9%83%A8%E5%8C%96%E9%85%8D%E7%BD%AE/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20180521dubbo-e5a496e983a8e58c96e9858de7bdae><span>Dubbo 外部化配置</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog20180101dubbo-e58d9ae5aea2e69687e6a1a3e4b8ade69687e68e92e78988e68c87e58d97-li><input type=checkbox id=m-zh-cnblog20180101dubbo-e58d9ae5aea2e69687e6a1a3e4b8ade69687e68e92e78988e68c87e58d97-check> |
| <label for=m-zh-cnblog20180101dubbo-e58d9ae5aea2e69687e6a1a3e4b8ade69687e68e92e78988e68c87e58d97-check><a href=/zh-cn/blog/2018/01/01/dubbo-%E5%8D%9A%E5%AE%A2%E6%96%87%E6%A1%A3%E4%B8%AD%E6%96%87%E6%8E%92%E7%89%88%E6%8C%87%E5%8D%97/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20180101dubbo-e58d9ae5aea2e69687e6a1a3e4b8ade69687e68e92e78988e68c87e58d97><span>Dubbo 博客文档中文排版指南</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-zh-cnblogjavacodeanalysis-li><input type=checkbox id=m-zh-cnblogjavacodeanalysis-check> |
| <label for=m-zh-cnblogjavacodeanalysis-check><a href=/zh-cn/blog/java/codeanalysis/ class="align-left pl-0 td-sidebar-link td-sidebar-link__section" id=m-zh-cnblogjavacodeanalysis><span>源码分析</span></a></label><ul class="ul-3 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-zh-cnblogjavacodeanalysismetrics-li><input type=checkbox id=m-zh-cnblogjavacodeanalysismetrics-check> |
| <label for=m-zh-cnblogjavacodeanalysismetrics-check><a href=/zh-cn/blog/java/codeanalysis/metrics/ class="align-left pl-0 td-sidebar-link td-sidebar-link__section" id=m-zh-cnblogjavacodeanalysismetrics><span>dubbo-metrics 指标模块源码浅析</span></a></label><ul class="ul-4 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog20230428e5bc95e8a880-li><input type=checkbox id=m-zh-cnblog20230428e5bc95e8a880-check> |
| <label for=m-zh-cnblog20230428e5bc95e8a880-check><a href=/zh-cn/blog/2023/04/28/%E5%BC%95%E8%A8%80/ title=引言 class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20230428e5bc95e8a880><span>0-引言</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog202304281-e68c87e6a087e6a0b7e69cace79a84e694b6e99b86e4b88ee5ad98e582a8-li><input type=checkbox id=m-zh-cnblog202304281-e68c87e6a087e6a0b7e69cace79a84e694b6e99b86e4b88ee5ad98e582a8-check> |
| <label for=m-zh-cnblog202304281-e68c87e6a087e6a0b7e69cace79a84e694b6e99b86e4b88ee5ad98e582a8-check><a href=/zh-cn/blog/2023/04/28/1-%E6%8C%87%E6%A0%87%E6%A0%B7%E6%9C%AC%E7%9A%84%E6%94%B6%E9%9B%86%E4%B8%8E%E5%AD%98%E5%82%A8/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog202304281-e68c87e6a087e6a0b7e69cace79a84e694b6e99b86e4b88ee5ad98e582a8><span>1-指标样本的收集与存储</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog202304282-e68c87e6a087e694b6e99b86e599a8e79a84e68c87e6a087e98787e99b86e6b581e7a88b-li><input type=checkbox id=m-zh-cnblog202304282-e68c87e6a087e694b6e99b86e599a8e79a84e68c87e6a087e98787e99b86e6b581e7a88b-check> |
| <label for=m-zh-cnblog202304282-e68c87e6a087e694b6e99b86e599a8e79a84e68c87e6a087e98787e99b86e6b581e7a88b-check><a href=/zh-cn/blog/2023/04/28/2-%E6%8C%87%E6%A0%87%E6%94%B6%E9%9B%86%E5%99%A8%E7%9A%84%E6%8C%87%E6%A0%87%E9%87%87%E9%9B%86%E6%B5%81%E7%A8%8B/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog202304282-e68c87e6a087e694b6e99b86e599a8e79a84e68c87e6a087e98787e99b86e6b581e7a88b><span>2-指标收集器的指标采集流程</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog202304283-e68c87e6a087e79b91e590ace6b3a8e5868ce6a2b3e79086-li><input type=checkbox id=m-zh-cnblog202304283-e68c87e6a087e79b91e590ace6b3a8e5868ce6a2b3e79086-check> |
| <label for=m-zh-cnblog202304283-e68c87e6a087e79b91e590ace6b3a8e5868ce6a2b3e79086-check><a href=/zh-cn/blog/2023/04/28/3-%E6%8C%87%E6%A0%87%E7%9B%91%E5%90%AC%E6%B3%A8%E5%86%8C%E6%A2%B3%E7%90%86/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog202304283-e68c87e6a087e79b91e590ace6b3a8e5868ce6a2b3e79086><span>3-指标监听注册梳理</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog202304284-e68c87e6a087e8bdace68da2e4b88ee5afbce587ba-li><input type=checkbox id=m-zh-cnblog202304284-e68c87e6a087e8bdace68da2e4b88ee5afbce587ba-check> |
| <label for=m-zh-cnblog202304284-e68c87e6a087e8bdace68da2e4b88ee5afbce587ba-check><a href=/zh-cn/blog/2023/04/28/4-%E6%8C%87%E6%A0%87%E8%BD%AC%E6%8D%A2%E4%B8%8E%E5%AF%BC%E5%87%BA/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog202304284-e68c87e6a087e8bdace68da2e4b88ee5afbce587ba><span>4-指标转换与导出</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-zh-cnblogjavacodeanalysis308-li><input type=checkbox id=m-zh-cnblogjavacodeanalysis308-check> |
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| <time datetime=2023-02-20 class=text-muted>Monday, February 20, 2023</time></div><header class=article-meta></header><h1 id=概述>概述</h1><h2 id=1-指标接入说明>1. 指标接入说明</h2><h2 id=2-指标体系设计>2. 指标体系设计</h2><p>Dubbo的指标体系，总共涉及三块，指标收集、本地聚合、指标推送</p><ul><li>指标收集：将Dubbo内部需要监控的指标推送至统一的Collector中进行存储</li><li>本地聚合：指标收集获取的均为基础指标，而一些分位数指标则需通过本地聚合计算得出</li><li>指标推送：收集和聚合后的指标通过一定的方式推送至第三方服务器，目前只涉及Prometheus</li></ul><h2 id=3-结构设计>3. 结构设计</h2><ul><li>移除原来与 Metrics 相关的类</li><li>创建新模块 dubbo-metrics/dubbo-metrics-api、dubbo-metrics/dubbo-metrics-prometheus，MetricsConfig 作为该模块的配置类</li><li>使用micrometer，在Collector中使用基本类型代表指标，如Long、Double等，并在dubbo-metrics-api中引入micrometer，由micrometer对内部指标进行转换</li></ul><h2 id=4-数据流转>4. 数据流转</h2><p><img src=/imgs/docs3-v2/java-sdk/observability/dataflow.png alt=img.png></p><h2 id=5-目标>5. 目标</h2><p>指标接口将提供一个 MetricsService，该 Service 不仅提供柔性服务所的接口级数据，也提供所有指标的查询方式，其中方法级指标的查询的接口可按如下方式声明</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span><span style=color:#268bd2>public</span> <span style=color:#268bd2>interface</span> <span style=color:#268bd2>MetricsService</span> { |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#586e75>/** |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * Default {@link MetricsService} extension name. |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> */</span> |
| </span></span><span style=display:flex><span> String DEFAULT_EXTENSION_NAME <span style=color:#719e07>=</span> <span style=color:#2aa198>"default"</span>; |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#586e75>/** |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * The contract version of {@link MetricsService}, the future update must make sure compatible. |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> */</span> |
| </span></span><span style=display:flex><span> String VERSION <span style=color:#719e07>=</span> <span style=color:#2aa198>"1.0.0"</span>; |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#586e75>/** |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * Get metrics by prefixes |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * @param categories categories |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * @return metrics - key=MetricCategory value=MetricsEntityList |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> */</span> |
| </span></span><span style=display:flex><span> Map<span style=color:#719e07><</span>MetricsCategory, List<span style=color:#719e07><</span>MetricsEntity<span style=color:#719e07>>></span> <span style=color:#268bd2>getMetricsByCategories</span>(List<span style=color:#719e07><</span>MetricsCategory<span style=color:#719e07>></span> categories); |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#586e75>/** |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * Get metrics by interface and prefixes |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * @param serviceUniqueName serviceUniqueName (eg.group/interfaceName:version) |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * @param categories categories |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * @return metrics - key=MetricCategory value=MetricsEntityList |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> */</span> |
| </span></span><span style=display:flex><span> Map<span style=color:#719e07><</span>MetricsCategory, List<span style=color:#719e07><</span>MetricsEntity<span style=color:#719e07>>></span> <span style=color:#268bd2>getMetricsByCategories</span>(String serviceUniqueName, List<span style=color:#719e07><</span>MetricsCategory<span style=color:#719e07>></span> categories); |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#586e75>/** |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * Get metrics by interface、method and prefixes |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * @param serviceUniqueName serviceUniqueName (eg.group/interfaceName:version) |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * @param methodName methodName |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * @param parameterTypes method parameter types |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * @param categories categories |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> * @return metrics - key=MetricCategory value=MetricsEntityList |
| </span></span></span><span style=display:flex><span><span style=color:#586e75> */</span> |
| </span></span><span style=display:flex><span> Map<span style=color:#719e07><</span>MetricsCategory, List<span style=color:#719e07><</span>MetricsEntity<span style=color:#719e07>>></span> <span style=color:#268bd2>getMetricsByCategories</span>(String serviceUniqueName, String methodName, Class<span style=color:#719e07><?>[]</span> parameterTypes, List<span style=color:#719e07><</span>MetricsCategory<span style=color:#719e07>></span> categories); |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><p>其中 MetricsCategory 设计如下:</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span><span style=color:#268bd2>public</span> <span style=color:#268bd2>enum</span> MetricsCategory { |
| </span></span><span style=display:flex><span> RT, |
| </span></span><span style=display:flex><span> QPS, |
| </span></span><span style=display:flex><span> REQUESTS, |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><p>MetricsEntity 设计如下</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span><span style=color:#268bd2>public</span> <span style=color:#268bd2>class</span> <span style=color:#268bd2>MetricsEntity</span> { |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> String name; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> Map<span style=color:#719e07><</span>String, String<span style=color:#719e07>></span> tags; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> MetricsCategory category; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> Object value; |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><h1 id=指标收集>指标收集</h1><h2 id=1-嵌入位置>1. 嵌入位置</h2><p>Dubbo 架构图如下 |
| <img src=/imgs/docs3-v2/java-sdk/observability/dubbo.png alt=img.png></p><p>在 provider 中添加一层 MetricsFilter 重写 invoke 方法嵌入调用链路用于收集指标，用 try-catch-finally 处理，核心代码如下</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span><span style=color:#268bd2>@Activate</span>(group <span style=color:#719e07>=</span> PROVIDER, order <span style=color:#719e07>=</span> <span style=color:#719e07>-</span>1) |
| </span></span><span style=display:flex><span><span style=color:#268bd2>public</span> <span style=color:#268bd2>class</span> <span style=color:#268bd2>MetricsFilter</span> <span style=color:#268bd2>implements</span> Filter, ScopeModelAware { |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>@Override</span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>public</span> Result <span style=color:#268bd2>invoke</span>(Invoker<span style=color:#719e07><?></span> invoker, Invocation invocation) <span style=color:#268bd2>throws</span> RpcException { |
| </span></span><span style=display:flex><span> collector.increaseTotalRequests(interfaceName, methodName, group, version); |
| </span></span><span style=display:flex><span> collector.increaseProcessingRequests(interfaceName, methodName, group, version); |
| </span></span><span style=display:flex><span> Long startTime <span style=color:#719e07>=</span> System.currentTimeMillis(); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>try</span> { |
| </span></span><span style=display:flex><span> Result invoke <span style=color:#719e07>=</span> invoker.invoke(invocation); |
| </span></span><span style=display:flex><span> collector.increaseSucceedRequests(interfaceName, methodName, group, version); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>return</span> invoke; |
| </span></span><span style=display:flex><span> } <span style=color:#719e07>catch</span> (RpcException e) { |
| </span></span><span style=display:flex><span> collector.increaseFailedRequests(interfaceName, methodName, group, version); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>throw</span> e; |
| </span></span><span style=display:flex><span> } <span style=color:#719e07>finally</span> { |
| </span></span><span style=display:flex><span> Long endTime <span style=color:#719e07>=</span> System.currentTimeMillis(); |
| </span></span><span style=display:flex><span> Long rt <span style=color:#719e07>=</span> endTime <span style=color:#719e07>-</span> startTime; |
| </span></span><span style=display:flex><span> collector.addRT(interfaceName, methodName, group, version, rt); |
| </span></span><span style=display:flex><span> collector.decreaseProcessingRequests(interfaceName, methodName, group, version); |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><h2 id=2-指标标识>2. 指标标识</h2><p>用以下五个属性作为隔离级别区分标识不同方法，也是各个 ConcurrentHashMap 的 key</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span><span style=color:#268bd2>public</span> <span style=color:#268bd2>class</span> <span style=color:#268bd2>MethodMetric</span> { |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> String applicationName; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> String interfaceName; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> String methodName; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> String group; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> String version; |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><h2 id=3-基础指标>3. 基础指标</h2><p>指标通过 common 模块下的 MetricsCollector 存储所有指标数据</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span><span style=color:#268bd2>public</span> <span style=color:#268bd2>class</span> <span style=color:#268bd2>DefaultMetricsCollector</span> <span style=color:#268bd2>implements</span> MetricsCollector { |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> Boolean collectEnabled <span style=color:#719e07>=</span> <span style=color:#cb4b16>false</span>; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> List<span style=color:#719e07><</span>MetricsListener<span style=color:#719e07>></span> listeners <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ArrayList<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> ApplicationModel applicationModel; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> String applicationName; |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, AtomicLong<span style=color:#719e07>></span> totalRequests <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, AtomicLong<span style=color:#719e07>></span> succeedRequests <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, AtomicLong<span style=color:#719e07>></span> failedRequests <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, AtomicLong<span style=color:#719e07>></span> processingRequests <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, AtomicLong<span style=color:#719e07>></span> lastRT <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, LongAccumulator<span style=color:#719e07>></span> minRT <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, LongAccumulator<span style=color:#719e07>></span> maxRT <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, AtomicLong<span style=color:#719e07>></span> avgRT <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, AtomicLong<span style=color:#719e07>></span> totalRT <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, AtomicLong<span style=color:#719e07>></span> rtCount <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> } |
| </span></span></code></pre></div><h1 id=本地聚合>本地聚合</h1><p>本地聚合指将一些简单的指标通过计算获取各分位数指标的过程</p><h2 id=1-参数设计>1. 参数设计</h2><p>收集指标时，默认只收集基础指标，而一些单机聚合指标则需要开启服务柔性或者本地聚合后另起线程计算。此处若开启服务柔性，则本地聚合默认开启</p><h3 id=11-本地聚合开启方式>1.1 本地聚合开启方式</h3><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-xml data-lang=xml><span style=display:flex><span><span style=color:#268bd2><dubbo:metrics></span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2><dubbo:aggregation</span> enable=<span style=color:#2aa198>"true"</span> <span style=color:#268bd2>/></span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2></dubbo:metrics></span> |
| </span></span></code></pre></div><h3 id=12-指标聚合参数>1.2 指标聚合参数</h3><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-xml data-lang=xml><span style=display:flex><span><span style=color:#268bd2><dubbo:metrics></span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2><dubbo:aggregation</span> enable=<span style=color:#2aa198>"true"</span> bucket-num=<span style=color:#2aa198>"5"</span> time-window-seconds=<span style=color:#2aa198>"10"</span><span style=color:#268bd2>/></span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2></dubbo:metrics></span> |
| </span></span></code></pre></div><h2 id=2-具体指标>2. 具体指标</h2><p>Dubbo的指标模块帮助用户从外部观察正在运行的系统的内部服务状况 ，Dubbo参考 <a href=https://sre.google/sre-book/monitoring-distributed-systems/>“四大黄金信号”</a>、<em>RED方法</em>、<em>USE方法</em>等理论并结合实际企业应用场景从不同维度统计了丰富的关键指标，关注这些核心指标对于提供可用性的服务是至关重要的。</p><p>Dubbo的关键指标包含：<strong>延迟（Latency）</strong>、<strong>流量（Traffic）</strong>、 <strong>错误（Errors）</strong> 和 <strong>饱和度（Saturation）</strong> 等内容 。同时，为了更好的监测服务运行状态，Dubbo 还提供了对核心组件状态的监控，如Dubbo应用信息、线程池信息、三大中心交互的指标数据等。</p><p>在Dubbo中主要包含如下监控指标：</p><table><thead><tr><th style=text-align:left></th><th style=text-align:left>基础设施</th><th style=text-align:left>业务监控</th></tr></thead><tbody><tr><td style=text-align:left>延迟类</td><td style=text-align:left>IO 等待； 网络延迟；</td><td style=text-align:left>接口、服务的平均耗时、TP90、TP99、TP999 等</td></tr><tr><td style=text-align:left>流量类</td><td style=text-align:left>网络和磁盘 IO；</td><td style=text-align:left>服务层面的 QPS、</td></tr><tr><td style=text-align:left>错误类</td><td style=text-align:left>宕机； 磁盘（坏盘或文件系统错误）； 进程或端口挂掉； 网络丢包；</td><td style=text-align:left>错误日志;业务状态码、错误码走势;</td></tr><tr><td style=text-align:left>饱和度类</td><td style=text-align:left>系统资源利用率： CPU、内存、磁盘、网络等； 饱和度：等待线程数，队列积压长度；</td><td style=text-align:left>这里主要包含JVM、线程池等</td></tr></tbody></table><ul><li>qps: 基于滑动窗口获取动态qps</li><li>rt: 基于滑动窗口获取动态rt</li><li>失败请求数: 基于滑动窗口获取最近时间内的失败请求数</li><li>成功请求数: 基于滑动窗口获取最近时间内的成功请求数</li><li>处理中请求数: 前后增加Filter简单统计</li><li>具体指标依赖滑动窗口，额外使用 AggregateMetricsCollector 收集</li></ul><p>输出到普罗米修斯的相关指标可以参考的内容如下：</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-gdscript3 data-lang=gdscript3><span style=display:flex><span><span style=color:#586e75># HELP jvm_gc_live_data_size_bytes Size of long-lived heap memory pool after reclamation</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_gc_live_data_size_bytes gauge</span> |
| </span></span><span style=display:flex><span>jvm_gc_live_data_size_bytes <span style=color:#2aa198>1.6086528E7</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP requests_succeed_aggregate Aggregated Succeed Requests</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE requests_succeed_aggregate gauge</span> |
| </span></span><span style=display:flex><span>requests_succeed_aggregate{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>39.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_buffer_memory_used_bytes An estimate of the memory that the Java virtual machine is using for this buffer pool</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_buffer_memory_used_bytes gauge</span> |
| </span></span><span style=display:flex><span>jvm_buffer_memory_used_bytes{id<span style=color:#719e07>=</span><span style=color:#2aa198>"direct"</span>,} <span style=color:#2aa198>1.679975E7</span> |
| </span></span><span style=display:flex><span>jvm_buffer_memory_used_bytes{id<span style=color:#719e07>=</span><span style=color:#2aa198>"mapped"</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_gc_memory_allocated_bytes_total Incremented for an increase in the size of the (young) heap memory pool after one GC to before the next</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_gc_memory_allocated_bytes_total counter</span> |
| </span></span><span style=display:flex><span>jvm_gc_memory_allocated_bytes_total <span style=color:#2aa198>2.9884416E9</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP requests_total_aggregate Aggregated Total Requests</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE requests_total_aggregate gauge</span> |
| </span></span><span style=display:flex><span>requests_total_aggregate{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>39.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP system_load_average_1m The sum of the number of runnable entities queued to available processors and the number of runnable entities running on the available processors averaged over a period of time</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE system_load_average_1m gauge</span> |
| </span></span><span style=display:flex><span>system_load_average_1m <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP system_cpu_usage The "recent cpu usage" for the whole system</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE system_cpu_usage gauge</span> |
| </span></span><span style=display:flex><span>system_cpu_usage <span style=color:#2aa198>0.015802269043760128</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_threads_peak_threads The peak live thread count since the Java virtual machine started or peak was reset</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_threads_peak_threads gauge</span> |
| </span></span><span style=display:flex><span>jvm_threads_peak_threads <span style=color:#2aa198>40.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP requests_processing Processing Requests</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE requests_processing gauge</span> |
| </span></span><span style=display:flex><span>requests_processing{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_memory_max_bytes The maximum amount of memory in bytes that can be used for memory management</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_memory_max_bytes gauge</span> |
| </span></span><span style=display:flex><span>jvm_memory_max_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"CodeHeap 'profiled nmethods'"</span>,} <span style=color:#2aa198>1.22912768E8</span> |
| </span></span><span style=display:flex><span>jvm_memory_max_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"heap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Survivor Space"</span>,} <span style=color:#719e07>-</span><span style=color:#2aa198>1.0</span> |
| </span></span><span style=display:flex><span>jvm_memory_max_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"heap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Old Gen"</span>,} <span style=color:#2aa198>9.52107008E8</span> |
| </span></span><span style=display:flex><span>jvm_memory_max_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"Metaspace"</span>,} <span style=color:#719e07>-</span><span style=color:#2aa198>1.0</span> |
| </span></span><span style=display:flex><span>jvm_memory_max_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"heap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Eden Space"</span>,} <span style=color:#719e07>-</span><span style=color:#2aa198>1.0</span> |
| </span></span><span style=display:flex><span>jvm_memory_max_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"CodeHeap 'non-nmethods'"</span>,} <span style=color:#2aa198>5828608.0</span> |
| </span></span><span style=display:flex><span>jvm_memory_max_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"Compressed Class Space"</span>,} <span style=color:#2aa198>1.073741824E9</span> |
| </span></span><span style=display:flex><span>jvm_memory_max_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"CodeHeap 'non-profiled nmethods'"</span>,} <span style=color:#2aa198>1.22916864E8</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_threads_states_threads The current number of threads having BLOCKED state</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_threads_states_threads gauge</span> |
| </span></span><span style=display:flex><span>jvm_threads_states_threads{state<span style=color:#719e07>=</span><span style=color:#2aa198>"blocked"</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span>jvm_threads_states_threads{state<span style=color:#719e07>=</span><span style=color:#2aa198>"runnable"</span>,} <span style=color:#2aa198>10.0</span> |
| </span></span><span style=display:flex><span>jvm_threads_states_threads{state<span style=color:#719e07>=</span><span style=color:#2aa198>"waiting"</span>,} <span style=color:#2aa198>16.0</span> |
| </span></span><span style=display:flex><span>jvm_threads_states_threads{state<span style=color:#719e07>=</span><span style=color:#2aa198>"timed-waiting"</span>,} <span style=color:#2aa198>13.0</span> |
| </span></span><span style=display:flex><span>jvm_threads_states_threads{state<span style=color:#719e07>=</span><span style=color:#2aa198>"new"</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span>jvm_threads_states_threads{state<span style=color:#719e07>=</span><span style=color:#2aa198>"terminated"</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_buffer_total_capacity_bytes An estimate of the total capacity of the buffers in this pool</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_buffer_total_capacity_bytes gauge</span> |
| </span></span><span style=display:flex><span>jvm_buffer_total_capacity_bytes{id<span style=color:#719e07>=</span><span style=color:#2aa198>"direct"</span>,} <span style=color:#2aa198>1.6799749E7</span> |
| </span></span><span style=display:flex><span>jvm_buffer_total_capacity_bytes{id<span style=color:#719e07>=</span><span style=color:#2aa198>"mapped"</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP rt_p99 Response Time P99</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE rt_p99 gauge</span> |
| </span></span><span style=display:flex><span>rt_p99{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>1.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_memory_used_bytes The amount of used memory</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_memory_used_bytes gauge</span> |
| </span></span><span style=display:flex><span>jvm_memory_used_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"heap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Survivor Space"</span>,} <span style=color:#2aa198>1048576.0</span> |
| </span></span><span style=display:flex><span>jvm_memory_used_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"CodeHeap 'profiled nmethods'"</span>,} <span style=color:#2aa198>1.462464E7</span> |
| </span></span><span style=display:flex><span>jvm_memory_used_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"heap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Old Gen"</span>,} <span style=color:#2aa198>1.6098728E7</span> |
| </span></span><span style=display:flex><span>jvm_memory_used_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"Metaspace"</span>,} <span style=color:#2aa198>4.0126952E7</span> |
| </span></span><span style=display:flex><span>jvm_memory_used_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"heap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Eden Space"</span>,} <span style=color:#2aa198>8.2837504E7</span> |
| </span></span><span style=display:flex><span>jvm_memory_used_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"CodeHeap 'non-nmethods'"</span>,} <span style=color:#2aa198>1372032.0</span> |
| </span></span><span style=display:flex><span>jvm_memory_used_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"Compressed Class Space"</span>,} <span style=color:#2aa198>4519248.0</span> |
| </span></span><span style=display:flex><span>jvm_memory_used_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"CodeHeap 'non-profiled nmethods'"</span>,} <span style=color:#2aa198>5697408.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP qps Query Per Seconds</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE qps gauge</span> |
| </span></span><span style=display:flex><span>qps{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>0.3333333333333333</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP rt_min Min Response Time</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE rt_min gauge</span> |
| </span></span><span style=display:flex><span>rt_min{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_buffer_count_buffers An estimate of the number of buffers in the pool</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_buffer_count_buffers gauge</span> |
| </span></span><span style=display:flex><span>jvm_buffer_count_buffers{id<span style=color:#719e07>=</span><span style=color:#2aa198>"mapped"</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span>jvm_buffer_count_buffers{id<span style=color:#719e07>=</span><span style=color:#2aa198>"direct"</span>,} <span style=color:#2aa198>10.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP system_cpu_count The number of processors available to the Java virtual machine</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE system_cpu_count gauge</span> |
| </span></span><span style=display:flex><span>system_cpu_count <span style=color:#2aa198>2.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_classes_loaded_classes The number of classes that are currently loaded in the Java virtual machine</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_classes_loaded_classes gauge</span> |
| </span></span><span style=display:flex><span>jvm_classes_loaded_classes <span style=color:#2aa198>7325.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP rt_total Total Response Time</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE rt_total gauge</span> |
| </span></span><span style=display:flex><span>rt_total{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>2783.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP rt_last Last Response Time</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE rt_last gauge</span> |
| </span></span><span style=display:flex><span>rt_last{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_gc_memory_promoted_bytes_total Count of positive increases in the size of the old generation memory pool before GC to after GC</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_gc_memory_promoted_bytes_total counter</span> |
| </span></span><span style=display:flex><span>jvm_gc_memory_promoted_bytes_total <span style=color:#2aa198>1.4450952E7</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_gc_pause_seconds Time spent in GC pause</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_gc_pause_seconds summary</span> |
| </span></span><span style=display:flex><span>jvm_gc_pause_seconds_count{action<span style=color:#719e07>=</span><span style=color:#2aa198>"end of minor GC"</span>,cause<span style=color:#719e07>=</span><span style=color:#2aa198>"Metadata GC Threshold"</span>,} <span style=color:#2aa198>2.0</span> |
| </span></span><span style=display:flex><span>jvm_gc_pause_seconds_sum{action<span style=color:#719e07>=</span><span style=color:#2aa198>"end of minor GC"</span>,cause<span style=color:#719e07>=</span><span style=color:#2aa198>"Metadata GC Threshold"</span>,} <span style=color:#2aa198>0.026</span> |
| </span></span><span style=display:flex><span>jvm_gc_pause_seconds_count{action<span style=color:#719e07>=</span><span style=color:#2aa198>"end of minor GC"</span>,cause<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Evacuation Pause"</span>,} <span style=color:#2aa198>37.0</span> |
| </span></span><span style=display:flex><span>jvm_gc_pause_seconds_sum{action<span style=color:#719e07>=</span><span style=color:#2aa198>"end of minor GC"</span>,cause<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Evacuation Pause"</span>,} <span style=color:#2aa198>0.156</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_gc_pause_seconds_max Time spent in GC pause</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_gc_pause_seconds_max gauge</span> |
| </span></span><span style=display:flex><span>jvm_gc_pause_seconds_max{action<span style=color:#719e07>=</span><span style=color:#2aa198>"end of minor GC"</span>,cause<span style=color:#719e07>=</span><span style=color:#2aa198>"Metadata GC Threshold"</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span>jvm_gc_pause_seconds_max{action<span style=color:#719e07>=</span><span style=color:#2aa198>"end of minor GC"</span>,cause<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Evacuation Pause"</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP rt_p95 Response Time P95</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE rt_p95 gauge</span> |
| </span></span><span style=display:flex><span>rt_p95{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP requests_total Total Requests</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE requests_total gauge</span> |
| </span></span><span style=display:flex><span>requests_total{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>27738.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP process_cpu_usage The "recent cpu usage" for the Java Virtual Machine process</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE process_cpu_usage gauge</span> |
| </span></span><span style=display:flex><span>process_cpu_usage <span style=color:#2aa198>8.103727714748784E-4</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP rt_max Max Response Time</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE rt_max gauge</span> |
| </span></span><span style=display:flex><span>rt_max{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>4.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_gc_max_data_size_bytes Max size of long-lived heap memory pool</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_gc_max_data_size_bytes gauge</span> |
| </span></span><span style=display:flex><span>jvm_gc_max_data_size_bytes <span style=color:#2aa198>9.52107008E8</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_threads_live_threads The current number of live threads including both daemon and non-daemon threads</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_threads_live_threads gauge</span> |
| </span></span><span style=display:flex><span>jvm_threads_live_threads <span style=color:#2aa198>39.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_threads_daemon_threads The current number of live daemon threads</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_threads_daemon_threads gauge</span> |
| </span></span><span style=display:flex><span>jvm_threads_daemon_threads <span style=color:#2aa198>36.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_classes_unloaded_classes_total The total number of classes unloaded since the Java virtual machine has started execution</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_classes_unloaded_classes_total counter</span> |
| </span></span><span style=display:flex><span>jvm_classes_unloaded_classes_total <span style=color:#2aa198>0.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP jvm_memory_committed_bytes The amount of memory in bytes that is committed for the Java virtual machine to use</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE jvm_memory_committed_bytes gauge</span> |
| </span></span><span style=display:flex><span>jvm_memory_committed_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"CodeHeap 'profiled nmethods'"</span>,} <span style=color:#2aa198>1.4680064E7</span> |
| </span></span><span style=display:flex><span>jvm_memory_committed_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"heap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Survivor Space"</span>,} <span style=color:#2aa198>1048576.0</span> |
| </span></span><span style=display:flex><span>jvm_memory_committed_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"heap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Old Gen"</span>,} <span style=color:#2aa198>5.24288E7</span> |
| </span></span><span style=display:flex><span>jvm_memory_committed_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"Metaspace"</span>,} <span style=color:#2aa198>4.1623552E7</span> |
| </span></span><span style=display:flex><span>jvm_memory_committed_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"heap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"G1 Eden Space"</span>,} <span style=color:#2aa198>9.0177536E7</span> |
| </span></span><span style=display:flex><span>jvm_memory_committed_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"CodeHeap 'non-nmethods'"</span>,} <span style=color:#2aa198>2555904.0</span> |
| </span></span><span style=display:flex><span>jvm_memory_committed_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"Compressed Class Space"</span>,} <span style=color:#2aa198>5111808.0</span> |
| </span></span><span style=display:flex><span>jvm_memory_committed_bytes{area<span style=color:#719e07>=</span><span style=color:#2aa198>"nonheap"</span>,id<span style=color:#719e07>=</span><span style=color:#2aa198>"CodeHeap 'non-profiled nmethods'"</span>,} <span style=color:#2aa198>5701632.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP requests_succeed Succeed Requests</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE requests_succeed gauge</span> |
| </span></span><span style=display:flex><span>requests_succeed{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>27738.0</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># HELP rt_avg Average Response Time</span> |
| </span></span><span style=display:flex><span><span style=color:#586e75># TYPE rt_avg gauge</span> |
| </span></span><span style=display:flex><span>rt_avg{application_name<span style=color:#719e07>=</span><span style=color:#2aa198>"metrics-provider"</span>,group<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,hostname<span style=color:#719e07>=</span><span style=color:#2aa198>"iZ8lgm9icspkthZ"</span>,interface<span style=color:#719e07>=</span><span style=color:#2aa198>"org.apache.dubbo.samples.metrics.prometheus.api.DemoService"</span>,ip<span style=color:#719e07>=</span><span style=color:#2aa198>"172.28.236.104"</span>,method<span style=color:#719e07>=</span><span style=color:#2aa198>"sayHello"</span>,version<span style=color:#719e07>=</span><span style=color:#2aa198>""</span>,} <span style=color:#2aa198>0.0</span> |
| </span></span></code></pre></div><h2 id=聚合收集器>聚合收集器</h2><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span><span style=color:#268bd2>public</span> <span style=color:#268bd2>class</span> <span style=color:#268bd2>AggregateMetricsCollector</span> <span style=color:#268bd2>implements</span> MetricsCollector, MetricsListener { |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#dc322f>int</span> bucketNum; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#dc322f>int</span> timeWindowSeconds; |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, TimeWindowCounter<span style=color:#719e07>></span> totalRequests <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, TimeWindowCounter<span style=color:#719e07>></span> succeedRequests <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, TimeWindowCounter<span style=color:#719e07>></span> failedRequests <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, TimeWindowCounter<span style=color:#719e07>></span> qps <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> Map<span style=color:#719e07><</span>MethodMetric, TimeWindowQuantile<span style=color:#719e07>></span> rt <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> ConcurrentHashMap<span style=color:#719e07><></span>(); |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> ApplicationModel applicationModel; |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>static</span> <span style=color:#268bd2>final</span> Integer DEFAULT_COMPRESSION <span style=color:#719e07>=</span> 100; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>static</span> <span style=color:#268bd2>final</span> Integer DEFAULT_BUCKET_NUM <span style=color:#719e07>=</span> 10; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>static</span> <span style=color:#268bd2>final</span> Integer DEFAULT_TIME_WINDOW_SECONDS <span style=color:#719e07>=</span> 120; |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span><span style=color:#586e75>//在构造函数中解析配置信息</span> |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>public</span> <span style=color:#268bd2>AggregateMetricsCollector</span>(ApplicationModel applicationModel) { |
| </span></span><span style=display:flex><span> <span style=color:#719e07>this</span>.applicationModel <span style=color:#719e07>=</span> applicationModel; |
| </span></span><span style=display:flex><span> ConfigManager configManager <span style=color:#719e07>=</span> applicationModel.getApplicationConfigManager(); |
| </span></span><span style=display:flex><span> MetricsConfig config <span style=color:#719e07>=</span> configManager.getMetrics().orElse(<span style=color:#cb4b16>null</span>); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>if</span> (config <span style=color:#719e07>!=</span> <span style=color:#cb4b16>null</span> <span style=color:#719e07>&&</span> config.getAggregation() <span style=color:#719e07>!=</span> <span style=color:#cb4b16>null</span> <span style=color:#719e07>&&</span> Boolean.TRUE.equals(config.getAggregation().getEnabled())) { |
| </span></span><span style=display:flex><span> <span style=color:#586e75>// only registered when aggregation is enabled.</span> |
| </span></span><span style=display:flex><span> registerListener(); |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> AggregationConfig aggregation <span style=color:#719e07>=</span> config.getAggregation(); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>this</span>.bucketNum <span style=color:#719e07>=</span> aggregation.getBucketNum() <span style=color:#719e07>==</span> <span style=color:#cb4b16>null</span> <span style=color:#719e07>?</span> DEFAULT_BUCKET_NUM : aggregation.getBucketNum(); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>this</span>.timeWindowSeconds <span style=color:#719e07>=</span> aggregation.getTimeWindowSeconds() <span style=color:#719e07>==</span> <span style=color:#cb4b16>null</span> <span style=color:#719e07>?</span> DEFAULT_TIME_WINDOW_SECONDS : aggregation.getTimeWindowSeconds(); |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><p>如果开启了本地聚合，则通过 spring 的 BeanFactory 添加监听，将 AggregateMetricsCollector 与 DefaultMetricsCollector 绑定，实现一种生产者消费者的模式，DefaultMetricsCollector 中使用监听器列表，方便扩展</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span><span style=color:#268bd2>private</span> <span style=color:#dc322f>void</span> <span style=color:#268bd2>registerListener</span>() { |
| </span></span><span style=display:flex><span> applicationModel.getBeanFactory().getBean(DefaultMetricsCollector.class).addListener(<span style=color:#719e07>this</span>); |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><h2 id=3-指标聚合>3. 指标聚合</h2><p>滑动窗口 |
| 假设我们初始有6个bucket，每个窗口时间设置为2分钟 |
| 每次写入指标数据时，会将数据分别写入6个bucket内，每隔两分钟移动一个bucket并且清除原来bucket内的数据 |
| 读取指标时，读取当前current指向的bucket，以达到滑动窗口的效果 |
| 具体如下图所示，实现了当前 bucket 内存储了配置中设置的 bucket 生命周期内的数据，即近期数据 |
| <img src=/imgs/docs3-v2/java-sdk/observability/aggre.png alt=img_1.png></p><p>在每个bucket内，使用<strong>TDigest 算法</strong>计算分位数指标</p><blockquote><p><strong>TDigest 算法</strong>（极端分位精确度高，如p1 p99，中间分位精确度低，如p50），相关资料如下</p><ul><li><a href=https://op8867555.github.io/posts/2018-04-09-tdigest.html>https://op8867555.github.io/posts/2018-04-09-tdigest.html</a></li><li><a href=https://blog.csdn.net/csdnnews/article/details/116246540>https://blog.csdn.net/csdnnews/article/details/116246540</a></li><li>开源实现：https://github.com/tdunning/t-digest</li></ul></blockquote><p>代码实现如下，除了 TimeWindowQuantile 用来计算分位数指标外，另外提供了 TimeWindowCounter 来收集时间区间内的指标数量</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span><span style=color:#268bd2>public</span> <span style=color:#268bd2>class</span> <span style=color:#268bd2>TimeWindowQuantile</span> { |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> <span style=color:#dc322f>double</span> compression; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> TDigest<span style=color:#719e07>[]</span> ringBuffer; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#dc322f>int</span> currentBucket; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#dc322f>long</span> lastRotateTimestampMillis; |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> <span style=color:#268bd2>final</span> <span style=color:#dc322f>long</span> durationBetweenRotatesMillis; |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>public</span> <span style=color:#268bd2>TimeWindowQuantile</span>(<span style=color:#dc322f>double</span> compression, <span style=color:#dc322f>int</span> bucketNum, <span style=color:#dc322f>int</span> timeWindowSeconds) { |
| </span></span><span style=display:flex><span> <span style=color:#719e07>this</span>.compression <span style=color:#719e07>=</span> compression; |
| </span></span><span style=display:flex><span> <span style=color:#719e07>this</span>.ringBuffer <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> TDigest<span style=color:#719e07>[</span>bucketNum<span style=color:#719e07>]</span>; |
| </span></span><span style=display:flex><span> <span style=color:#719e07>for</span> (<span style=color:#dc322f>int</span> i <span style=color:#719e07>=</span> 0; i <span style=color:#719e07><</span> bucketNum; i<span style=color:#719e07>++</span>) { |
| </span></span><span style=display:flex><span> <span style=color:#719e07>this</span>.ringBuffer<span style=color:#719e07>[</span>i<span style=color:#719e07>]</span> <span style=color:#719e07>=</span> TDigest.createDigest(compression); |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#719e07>this</span>.currentBucket <span style=color:#719e07>=</span> 0; |
| </span></span><span style=display:flex><span> <span style=color:#719e07>this</span>.lastRotateTimestampMillis <span style=color:#719e07>=</span> System.currentTimeMillis(); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>this</span>.durationBetweenRotatesMillis <span style=color:#719e07>=</span> TimeUnit.SECONDS.toMillis(timeWindowSeconds) <span style=color:#719e07>/</span> bucketNum; |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>public</span> <span style=color:#268bd2>synchronized</span> <span style=color:#dc322f>double</span> <span style=color:#268bd2>quantile</span>(<span style=color:#dc322f>double</span> q) { |
| </span></span><span style=display:flex><span> TDigest currentBucket <span style=color:#719e07>=</span> rotate(); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>return</span> currentBucket.quantile(q); |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>public</span> <span style=color:#268bd2>synchronized</span> <span style=color:#dc322f>void</span> <span style=color:#268bd2>add</span>(<span style=color:#dc322f>double</span> value) { |
| </span></span><span style=display:flex><span> rotate(); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>for</span> (TDigest bucket : ringBuffer) { |
| </span></span><span style=display:flex><span> bucket.add(value); |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>private</span> TDigest <span style=color:#268bd2>rotate</span>() { |
| </span></span><span style=display:flex><span> <span style=color:#dc322f>long</span> timeSinceLastRotateMillis <span style=color:#719e07>=</span> System.currentTimeMillis() <span style=color:#719e07>-</span> lastRotateTimestampMillis; |
| </span></span><span style=display:flex><span> <span style=color:#719e07>while</span> (timeSinceLastRotateMillis <span style=color:#719e07>></span> durationBetweenRotatesMillis) { |
| </span></span><span style=display:flex><span> ringBuffer<span style=color:#719e07>[</span>currentBucket<span style=color:#719e07>]</span> <span style=color:#719e07>=</span> TDigest.createDigest(compression); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>if</span> (<span style=color:#719e07>++</span>currentBucket <span style=color:#719e07>>=</span> ringBuffer.length) { |
| </span></span><span style=display:flex><span> currentBucket <span style=color:#719e07>=</span> 0; |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> timeSinceLastRotateMillis <span style=color:#719e07>-=</span> durationBetweenRotatesMillis; |
| </span></span><span style=display:flex><span> lastRotateTimestampMillis <span style=color:#719e07>+=</span> durationBetweenRotatesMillis; |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> <span style=color:#719e07>return</span> ringBuffer<span style=color:#719e07>[</span>currentBucket<span style=color:#719e07>]</span>; |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><h1 id=指标推送>指标推送</h1><p>指标推送只有用户在设置了<dubbo:metrics />配置且配置protocol参数后才开启，若只开启指标聚合，则默认不推送指标。</p><h2 id=1-promehteus-pull-servicediscovery>1. Promehteus Pull ServiceDiscovery</h2><p>使用dubbo-admin等类似的中间层，启动时根据配置将本机 IP、Port、MetricsURL 推送地址信息至dubbo-admin（或任意中间层）的方式，暴露HTTP ServiceDiscovery供prometheus读取，配置方式如<dubbo:metrics protocol=“prometheus” mode=“pull” address="${dubbo-admin.address}" port=“20888” url="/metrics"/>，其中在pull模式下address为可选参数，若不填则需用户手动在Prometheus配置文件中配置地址</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span><span style=color:#268bd2>private</span> <span style=color:#dc322f>void</span> <span style=color:#268bd2>exportHttpServer</span>() { |
| </span></span><span style=display:flex><span> <span style=color:#dc322f>boolean</span> exporterEnabled <span style=color:#719e07>=</span> url.getParameter(PROMETHEUS_EXPORTER_ENABLED_KEY, <span style=color:#cb4b16>false</span>); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>if</span> (exporterEnabled) { |
| </span></span><span style=display:flex><span> <span style=color:#dc322f>int</span> port <span style=color:#719e07>=</span> url.getParameter(PROMETHEUS_EXPORTER_METRICS_PORT_KEY, PROMETHEUS_DEFAULT_METRICS_PORT); |
| </span></span><span style=display:flex><span> String path <span style=color:#719e07>=</span> url.getParameter(PROMETHEUS_EXPORTER_METRICS_PATH_KEY, PROMETHEUS_DEFAULT_METRICS_PATH); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>if</span> (<span style=color:#719e07>!</span>path.startsWith(<span style=color:#2aa198>"/"</span>)) { |
| </span></span><span style=display:flex><span> path <span style=color:#719e07>=</span> <span style=color:#2aa198>"/"</span> <span style=color:#719e07>+</span> path; |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> <span style=color:#719e07>try</span> { |
| </span></span><span style=display:flex><span> prometheusExporterHttpServer <span style=color:#719e07>=</span> HttpServer.create(<span style=color:#719e07>new</span> InetSocketAddress(port), 0); |
| </span></span><span style=display:flex><span> prometheusExporterHttpServer.createContext(path, httpExchange <span style=color:#719e07>-></span> { |
| </span></span><span style=display:flex><span> String response <span style=color:#719e07>=</span> prometheusRegistry.scrape(); |
| </span></span><span style=display:flex><span> httpExchange.sendResponseHeaders(200, response.getBytes().length); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>try</span> (OutputStream os <span style=color:#719e07>=</span> httpExchange.getResponseBody()) { |
| </span></span><span style=display:flex><span> os.write(response.getBytes()); |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> }); |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> httpServerThread <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> Thread(prometheusExporterHttpServer::start); |
| </span></span><span style=display:flex><span> httpServerThread.start(); |
| </span></span><span style=display:flex><span> } <span style=color:#719e07>catch</span> (IOException e) { |
| </span></span><span style=display:flex><span> <span style=color:#719e07>throw</span> <span style=color:#719e07>new</span> RuntimeException(e); |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><h2 id=2-prometheus-push-pushgateway>2. Prometheus Push Pushgateway</h2><p>用户直接在Dubbo配置文件中配置Prometheus Pushgateway的地址即可，如<dubbo:metrics protocol=“prometheus” mode=“push” address="${prometheus.pushgateway-url}" interval=“5” />，其中interval代表推送间隔</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-java data-lang=java><span style=display:flex><span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2>private</span> <span style=color:#dc322f>void</span> <span style=color:#268bd2>schedulePushJob</span>() { |
| </span></span><span style=display:flex><span> <span style=color:#dc322f>boolean</span> pushEnabled <span style=color:#719e07>=</span> url.getParameter(PROMETHEUS_PUSHGATEWAY_ENABLED_KEY, <span style=color:#cb4b16>false</span>); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>if</span> (pushEnabled) { |
| </span></span><span style=display:flex><span> String baseUrl <span style=color:#719e07>=</span> url.getParameter(PROMETHEUS_PUSHGATEWAY_BASE_URL_KEY); |
| </span></span><span style=display:flex><span> String job <span style=color:#719e07>=</span> url.getParameter(PROMETHEUS_PUSHGATEWAY_JOB_KEY, PROMETHEUS_DEFAULT_JOB_NAME); |
| </span></span><span style=display:flex><span> <span style=color:#dc322f>int</span> pushInterval <span style=color:#719e07>=</span> url.getParameter(PROMETHEUS_PUSHGATEWAY_PUSH_INTERVAL_KEY, PROMETHEUS_DEFAULT_PUSH_INTERVAL); |
| </span></span><span style=display:flex><span> String username <span style=color:#719e07>=</span> url.getParameter(PROMETHEUS_PUSHGATEWAY_USERNAME_KEY); |
| </span></span><span style=display:flex><span> String password <span style=color:#719e07>=</span> url.getParameter(PROMETHEUS_PUSHGATEWAY_PASSWORD_KEY); |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> NamedThreadFactory threadFactory <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> NamedThreadFactory(<span style=color:#2aa198>"prometheus-push-job"</span>, <span style=color:#cb4b16>true</span>); |
| </span></span><span style=display:flex><span> pushJobExecutor <span style=color:#719e07>=</span> Executors.newScheduledThreadPool(1, threadFactory); |
| </span></span><span style=display:flex><span> PushGateway pushGateway <span style=color:#719e07>=</span> <span style=color:#719e07>new</span> PushGateway(baseUrl); |
| </span></span><span style=display:flex><span> <span style=color:#719e07>if</span> (<span style=color:#719e07>!</span>StringUtils.isBlank(username)) { |
| </span></span><span style=display:flex><span> pushGateway.setConnectionFactory(<span style=color:#719e07>new</span> BasicAuthHttpConnectionFactory(username, password)); |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span> pushJobExecutor.scheduleWithFixedDelay(() <span style=color:#719e07>-></span> push(pushGateway, job), pushInterval, pushInterval, TimeUnit.SECONDS); |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span>} |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2>protected</span> <span style=color:#dc322f>void</span> <span style=color:#268bd2>push</span>(PushGateway pushGateway, String job) { |
| </span></span><span style=display:flex><span> <span style=color:#719e07>try</span> { |
| </span></span><span style=display:flex><span> pushGateway.pushAdd(prometheusRegistry.getPrometheusRegistry(), job); |
| </span></span><span style=display:flex><span> } <span style=color:#719e07>catch</span> (IOException e) { |
| </span></span><span style=display:flex><span> logger.error(<span style=color:#2aa198>"Error occurred when pushing metrics to prometheus: "</span>, e); |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><h2 id=可视化展示>可视化展示</h2><p>目前推荐使用 Prometheus 来进行服务监控，Grafana 来展示指标数据。可以通过案例来快速入门 <a href=/zh-cn/overview/tasks/observability/grafana/>Dubbo 可视化监控</a>。</p><ul class="list-unstyled d-flex justify-content-between align-items-center mb-0 pt-5"><li><a href=/zh-cn/blog/2023/01/30/dubbo3-%E5%BA%94%E7%94%A8%E7%BA%A7%E6%9C%8D%E5%8A%A1%E5%8F%91%E7%8E%B0%E8%AE%BE%E8%AE%A1/ aria-label="上一页 - Dubbo3 应用级服务发现设计" class="btn btn-primary"><span class=mr-1>←</span>上一页</a></li><li><a href=/zh-cn/blog/2023/05/26/google-paper-%E9%9D%A2%E5%90%91%E4%BA%91%E6%97%B6%E4%BB%A3%E7%9A%84%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E6%96%B0%E6%A8%A1%E5%BC%8F/ aria-label="下一页 - [Google Paper] 面向云时代的应用开发新模式" class="btn btn-primary">下一页<span class=ml-1>→</span></a></li></ul></div><div id=pre-footer><h2>反馈</h2><p class=feedback--prompt>此页是否对您有帮助？</p><button class="btn btn-primary mb-4 feedback--yes">是</button> |
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| <a href=https://github.com/apache/dubbo/issues/new target=_blank><i class="fas fa-tasks fa-fw"></i> 提交项目问题</a></div><nav id=TableOfContents><ul><li><a href=#1-指标接入说明>1. 指标接入说明</a></li><li><a href=#2-指标体系设计>2. 指标体系设计</a></li><li><a href=#3-结构设计>3. 结构设计</a></li><li><a href=#4-数据流转>4. 数据流转</a></li><li><a href=#5-目标>5. 目标</a></li></ul><ul><li><a href=#1-嵌入位置>1. 嵌入位置</a></li><li><a href=#2-指标标识>2. 指标标识</a></li><li><a href=#3-基础指标>3. 基础指标</a></li></ul><ul><li><a href=#1-参数设计>1. 参数设计</a><ul><li><a href=#11-本地聚合开启方式>1.1 本地聚合开启方式</a></li><li><a href=#12-指标聚合参数>1.2 指标聚合参数</a></li></ul></li><li><a href=#2-具体指标>2. 具体指标</a></li><li><a href=#聚合收集器>聚合收集器</a></li><li><a href=#3-指标聚合>3. 指标聚合</a></li></ul><ul><li><a href=#1-promehteus-pull-servicediscovery>1. Promehteus Pull ServiceDiscovery</a></li><li><a href=#2-prometheus-push-pushgateway>2. 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