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zy>=dS{l@XTT~y)DddMgTPUB-ac4MsNkA?R4quo7#3no(XZ4n10H3@g6OJ1k97Fo*1z>rx!utv@L@U$_jAXZ@5=hL)TiyK|*3rIRTPmW8kh--DUENdB$k9Mdg) zB`(0VePRX2OT1*crt^B#%1`2fYw*s6cp)Zl%TY}~?V+DGfD;-PZ4Pn(;k;yrBvTX7meLy|V42vPRf)j8tN*tyPUc)6 du3Bfou)E@JtBCOe*Gca}sOz12qG}cL{{bp4(K!GB literal 0 HcmV?d00001 From ef0c2787db5cb34edc594c4b4513757fd1ba05f7 Mon Sep 17 00:00:00 2001 From: freyfl <48233548+freyfl@users.noreply.github.com> Date: Fri, 22 May 2020 12:10:12 +0800 Subject: [PATCH 2/4] Update three-data-centers-in-two-cities-deployment.md --- ...e-data-centers-in-two-cities-deployment.md | 188 ++++++++++++++++++ 1 file changed, 188 insertions(+) diff --git a/three-data-centers-in-two-cities-deployment.md b/three-data-centers-in-two-cities-deployment.md index e69de29bb2d1..d9a4b46d56f0 100644 --- a/three-data-centers-in-two-cities-deployment.md +++ b/three-data-centers-in-two-cities-deployment.md @@ -0,0 +1,188 @@ +# 两地三中心部署 +## 两地三中心介绍: +两地三中心架构即生产数据中心、同城灾备中心、异地灾备中心的高可用容灾方案。在这种模式下,两个城市的三个数据中心互联互通,如果一个数据中心发生故障或灾难,其他数据中心可以正常运行并对关键业务或全部业务实现接管。相比同城多中心方案,两地三中心具有跨城级高可用能力,可以应对城市级自然灾害。 + +TiDB 分布式数据库通过 Raft 算法原生支持两地三中心架构的建设,并保证数据库集群数据的一致性和高可用性。而且因同城数据中心网络延迟相对较小,可以把业务流量同时派发到同城两个数据中心,并通过控制 Region leader 和 PD leader 分布实现同城数据中心共同负载业务流量的设计。 +## 两地三中心架构图: +本文以北京和西安为例阐述 TiDB 分布式数据库两地三中心架构的部署模型,例中北京有两个机房 IDC1 和 IDC2,异地西安一个机房 IDC3。北京同城两机房之间网络延迟低于 3ms,北京与西安之间网络使用 ISP 专线,延迟约 20ms。 +如下图 1 所示为集群部署架构图,具体如下: +- 集群采用两地三中心部署方式,分别为北京 IDC1,北京 IDC2,西安 IDC3; +- 集群采用 5 副本模式,其中 IDC1 和 IDC2 分别放 2 个副本,IDC3 放 1 个副本;TiKV 按机柜打 Label,既每个机柜上有一份副本。 +- 副本间同过 raft 协议保证数据的一致性和高可用,对用户完全透明。 + +![图 1 两地三中心集群架构图](/media/three-data-centers-in-two-cities-deployment-01.png) +

+图 1 两地三中心集群架构图 +

+ +该架构具备高可用能力,同时通过 PD 调度限制了 region leader 尽量只出现在同城的两个数据中心,这相比于三数据中心 region leader 分布不受限制的方案具有: + +**优点:** +- region leader 都在同城低延迟机房,数据写入速度更优。 +- 两中心可同时对外提供服务,资源利用率更高。 +- 可保证任一数据中心失效后,服务可用并且不发生数据丢失。 + +**缺点:** +- 因为数据一致性是基于 Raft 算法实现,当同城两个数据中心同时失效时,因为异地灾备中心只剩下一份副本,不满足 Raft 算法大多数副本存活的要求。最终将导致集群暂时不可用,需要从一副本恢复集群,只会丢失少部分还没同步的热数据。这种情况出现的概率是比较小的。 +- 由于使用到了网络专线,导致该架构下网络设施成本较高。 +- 两地三中心需设置 5 副本数据冗余度增加,增加空间成本。 +## 两地三中心部署说明 +下面详细具体介绍两地三中心架构部署。 + +![图2 两地三中心配置详图](/media/three-data-centers-in-two-cities-deployment-02.png) +

+图2 两地三中心配置详图 +

+北京、西安两地三中心配置详解: + +- 如图 2 所示,北京有两个机房 IDC1 和 IDC2,机房 IDC1 中有三套机架 RAC1、RAC2、RAC3,机房 IDC2 有机架 RAC4、RAC5;西安机房 IDC3 有机架 RAC6。 +- 如图 2 中 RAC1 机架所示,TiDB、PD 服务部署在同一台服务器上,还有两台 TiKV 服务器;每台 TiKV 服务器部署 2 个 TiKV 实例(tikv-server),RAC2、RAC4、RAC5、RAC6 类似。 +- 机架 RAC3 上安放 TiDB-Server 及中控 + 监控服务器。部署 TiDB-Server,用于日常管理维护、备份使用。中控 + 监控服务器上部署 TiDB-Ansible、Prometheus,Grafana 以及恢复工具; +- 另可增加备份服务器,其上部署 Mydumper 及 Dranier ,Drainer 以输出 file 文件的方式将 binlog 数据保存到指定位置,实现增量备份的目的。 + +## 两地三中心部署配置 +### tiup topology.yaml 配置举例: +``` +# # Global variables are applied to all deployments and used as the default value of +# # the deployments if a specific deployment value is missing. +global: + user: "tidb" + ssh_port: 22 + deploy_dir: "/data/tidb_cluster/tidb-deploy" + data_dir: "/data/tidb_cluster/tidb-data" + +server_configs: + tikv: + server.grpc-compression-type: gzip + pd: + replication.location-labels: ["dc","rack","zone","host"] + schedule.tolerant-size-ratio: 20.0 + +pd_servers: + - host: 10.63.10.10 + name: "pd-10" + - host: 10.63.10.11 + name: "pd-11" + - host: 10.63.10.12 + name: "pd-12" + - host: 10.63.10.13 + name: "pd-13" + - host: 10.63.10.14 + name: "pd-14" + +tidb_servers: + - host: 10.63.10.10 + - host: 10.63.10.11 + - host: 10.63.10.12 + - host: 10.63.10.13 + - host: 10.63.10.14 + +tikv_servers: + - host: 10.63.10.30 + config: + server.labels: { dc: "1", zone: "1", rack: "1", host: "30" } + - host: 10.63.10.31 + config: + server.labels: { dc: "1", zone: "2", rack: "2", host: "31" } + - host: 10.63.10.32 + config: + server.labels: { dc: "2", zone: "3", rack: "3", host: "32" } + - host: 10.63.10.33 + config: + server.labels: { dc: "2", zone: "4", rack: "4", host: "33" } + - host: 10.63.10.34 + config: + server.labels: { dc: "3", zone: "5", rack: "5", host: "34" } + raftstore.raft-min-election-timeout-ticks: 1000 + raftstore.raft-max-election-timeout-ticks: 1200 + +monitoring_servers: + - host: 10.63.10.60 + +grafana_servers: + - host: 10.63.10.60 + +alertmanager_servers: + - host: 10.63.10.60 +``` +### Labels 设计 +在两地三中心部署方式下,对于 Labels 的设计需要充分考虑到系统的可用性和容灾能力,建议根据部署的物理结构来定义 DC、ZONE、RACK、HOST 四个等级。 +![图3 label逻辑定义图](/media/three-data-centers-in-two-cities-deployment-03.png) +图3 label逻辑定义图 +

+图3 label逻辑定义图 +

+ +PD 设置 为 PD 设置 TiKV 部署位置等级信息。 + +``` +server_configs: + pd: + replication.location-labels: ["dc","zone","rack","host"] +``` + +TiKV Servers 设置基于 tikv 真实物理部署位置的 label 信息,方便 PD 进行全局管理和调度。 + +``` +tikv_servers: + - host: 10.63.10.30 + config: + server.labels: { dc: "1", zone: "1", rack: "1", host: "30" } + - host: 10.63.10.31 + config: + server.labels: { dc: "1", zone: "2", rack: "2", host: "31" } + - host: 10.63.10.32 + config: + server.labels: { dc: "2", zone: "3", rack: "3", host: "32" } + - host: 10.63.10.33 + config: + server.labels: { dc: "2", zone: "4", rack: "4", host: "33" } + - host: 10.63.10.34 + config: + server.labels: { dc: "3", zone: "5", rack: "5", host: "34" } +``` + +### 参数配置优化 +在两地三中心的架构部署中,从性能优化的角度,除了常规参数配置外,还需要对集群中相关组件参数进行调整。 + +- 启用 tikv grpc消息压缩 由于涉及到集群中的数据在网络中传输,需要开启 gRPC 消息压缩,降低网络流量。 + +``` +server.grpc-compression-type: gzip +``` + +- 调整 PD balance 缓冲区大小,提高 PD 容忍度,因为 PD 会根据节点情况计算出各个对象的 score 作为调度的一句,当两个 store 的 leader 或 Region 的得分差距小于指定倍数的 Region size 时,PD 会认为此时 balance 达到均衡状态。 + +``` +schedule.tolerant-size-ratio: 20.0 +``` + +- 异地 DC3 TiKV 节点网络优化,单独修改异地 tikv 此参数,拉长异地副本参与选举的时间,尽量避免异地 TiKV 中的副本参与 raft 选举。 + +``` +raftstore.raft-min-election-timeout-ticks: 1000 +raftstore.raft-max-election-timeout-ticks: 1200 +``` + +- 调度设置,在集群启动后,通过 tiup ctl pd 工具进行调度策略修改。修改 TiKV raft 副本数按照安装时规划好的副本数进行设置,在本例中为 5 副本。 + +``` +config set max-replicas 5 +``` + +- 禁止向异地机房调度 raft leader,当 raft leader 在异地数据中心时,会造成不必要的本地数据中心与异地数据中心间的网络消耗,同时由于网络带宽和延迟的影响,也会对 TiDB 的集群性能产生影响。需要禁用异地中心的 raft leader 的调度。 + +``` +config set label-property reject-leader dc 3 +``` + +- 设置 PD 的优先级 为了避免出现异地数据中心的 PD 成为 leader,可以将本地数据中心的 PD 优先级调高(数字越大,优先级越高),将异地的 PD 优先级调低。 + +``` +member leader_priority PD-10 5 +member leader_priority PD-11 5 +member leader_priority PD-12 5 +member leader_priority PD-13 5 +member leader_priority PD-14 1 +``` + From b3f0d84ef404dc53e2e70046d7f6d10f4ff21713 Mon Sep 17 00:00:00 2001 From: Ran Date: Fri, 22 May 2020 14:15:42 +0800 Subject: [PATCH 3/4] fix ci and update format --- ...e-data-centers-in-two-cities-deployment.md | 159 ++++++++++-------- 1 file changed, 87 insertions(+), 72 deletions(-) diff --git a/three-data-centers-in-two-cities-deployment.md b/three-data-centers-in-two-cities-deployment.md index d9a4b46d56f0..17b4f48c588f 100644 --- a/three-data-centers-in-two-cities-deployment.md +++ b/three-data-centers-in-two-cities-deployment.md @@ -1,47 +1,63 @@ +--- +title: 两地三中心部署 +category: how-to +--- + # 两地三中心部署 -## 两地三中心介绍: -两地三中心架构即生产数据中心、同城灾备中心、异地灾备中心的高可用容灾方案。在这种模式下,两个城市的三个数据中心互联互通,如果一个数据中心发生故障或灾难,其他数据中心可以正常运行并对关键业务或全部业务实现接管。相比同城多中心方案,两地三中心具有跨城级高可用能力,可以应对城市级自然灾害。 -TiDB 分布式数据库通过 Raft 算法原生支持两地三中心架构的建设,并保证数据库集群数据的一致性和高可用性。而且因同城数据中心网络延迟相对较小,可以把业务流量同时派发到同城两个数据中心,并通过控制 Region leader 和 PD leader 分布实现同城数据中心共同负载业务流量的设计。 -## 两地三中心架构图: -本文以北京和西安为例阐述 TiDB 分布式数据库两地三中心架构的部署模型,例中北京有两个机房 IDC1 和 IDC2,异地西安一个机房 IDC3。北京同城两机房之间网络延迟低于 3ms,北京与西安之间网络使用 ISP 专线,延迟约 20ms。 -如下图 1 所示为集群部署架构图,具体如下: +本文档简要介绍两地三中心部署的架构模型。 + +## 简介 + +两地三中心架构,即生产数据中心、同城灾备中心、异地灾备中心的高可用容灾方案。在这种模式下,两个城市的三个数据中心互联互通,如果一个数据中心发生故障或灾难,其他数据中心可以正常运行并对关键业务或全部业务实现接管。相比同城多中心方案,两地三中心具有跨城级高可用能力,可以应对城市级自然灾害。 + +TiDB 分布式数据库通过 Raft 算法原生支持两地三中心架构的建设,并保证数据库集群数据的一致性和高可用性。而且因同城数据中心网络延迟相对较小,可以把业务流量同时派发到同城两个数据中心,并通过控制 Region Leader 和 PD Leader 分布实现同城数据中心共同负载业务流量的设计。 + +## 架构 + +本文以北京和西安为例,阐述 TiDB 分布式数据库两地三中心架构的部署模型。 + +例中,北京有两个机房 IDC1 和 IDC2,异地西安一个机房 IDC3。北京同城两机房之间网络延迟低于 3ms,北京与西安之间的网络使用 ISP 专线,延迟约 20ms。 + +下图为集群部署架构图,具体如下: + - 集群采用两地三中心部署方式,分别为北京 IDC1,北京 IDC2,西安 IDC3; - 集群采用 5 副本模式,其中 IDC1 和 IDC2 分别放 2 个副本,IDC3 放 1 个副本;TiKV 按机柜打 Label,既每个机柜上有一份副本。 -- 副本间同过 raft 协议保证数据的一致性和高可用,对用户完全透明。 - -![图 1 两地三中心集群架构图](/media/three-data-centers-in-two-cities-deployment-01.png) -

-图 1 两地三中心集群架构图 -

- -该架构具备高可用能力,同时通过 PD 调度限制了 region leader 尽量只出现在同城的两个数据中心,这相比于三数据中心 region leader 分布不受限制的方案具有: - -**优点:** -- region leader 都在同城低延迟机房,数据写入速度更优。 -- 两中心可同时对外提供服务,资源利用率更高。 -- 可保证任一数据中心失效后,服务可用并且不发生数据丢失。 - -**缺点:** -- 因为数据一致性是基于 Raft 算法实现,当同城两个数据中心同时失效时,因为异地灾备中心只剩下一份副本,不满足 Raft 算法大多数副本存活的要求。最终将导致集群暂时不可用,需要从一副本恢复集群,只会丢失少部分还没同步的热数据。这种情况出现的概率是比较小的。 -- 由于使用到了网络专线,导致该架构下网络设施成本较高。 -- 两地三中心需设置 5 副本数据冗余度增加,增加空间成本。 -## 两地三中心部署说明 -下面详细具体介绍两地三中心架构部署。 - -![图2 两地三中心配置详图](/media/three-data-centers-in-two-cities-deployment-02.png) -

-图2 两地三中心配置详图 -

+- 副本间通过 Raft 协议保证数据的一致性和高可用,对用户完全透明。 + +![两地三中心集群架构图](/media/three-data-centers-in-two-cities-deployment-01.png) + +该架构具备高可用能力,同时通过 PD 调度限制了 Region Leader 尽量只出现在同城的两个数据中心,这相比于三数据中心,即 Region Leader 分布不受限制的方案有以下优缺点: + +- **优点** + + - Region Leader 都在同城低延迟机房,数据写入速度更优。 + - 两中心可同时对外提供服务,资源利用率更高。 + - 可保证任一数据中心失效后,服务可用并且不发生数据丢失。 + +- **缺点** + + - 因为数据一致性是基于 Raft 算法实现,当同城两个数据中心同时失效时,因为异地灾备中心只剩下一份副本,不满足 Raft 算法大多数副本存活的要求。最终将导致集群暂时不可用,需要从一副本恢复集群,只会丢失少部分还没同步的热数据。这种情况出现的概率是比较小的。 + - 由于使用到了网络专线,导致该架构下网络设施成本较高。 + - 两地三中心需设置 5 副本,数据冗余度增加,增加空间成本。 + +### 详细示例 + 北京、西安两地三中心配置详解: -- 如图 2 所示,北京有两个机房 IDC1 和 IDC2,机房 IDC1 中有三套机架 RAC1、RAC2、RAC3,机房 IDC2 有机架 RAC4、RAC5;西安机房 IDC3 有机架 RAC6。 -- 如图 2 中 RAC1 机架所示,TiDB、PD 服务部署在同一台服务器上,还有两台 TiKV 服务器;每台 TiKV 服务器部署 2 个 TiKV 实例(tikv-server),RAC2、RAC4、RAC5、RAC6 类似。 -- 机架 RAC3 上安放 TiDB-Server 及中控 + 监控服务器。部署 TiDB-Server,用于日常管理维护、备份使用。中控 + 监控服务器上部署 TiDB-Ansible、Prometheus,Grafana 以及恢复工具; -- 另可增加备份服务器,其上部署 Mydumper 及 Dranier ,Drainer 以输出 file 文件的方式将 binlog 数据保存到指定位置,实现增量备份的目的。 +![两地三中心配置详图](/media/three-data-centers-in-two-cities-deployment-02.png) + +- 如上图所示,北京有两个机房 IDC1 和 IDC2,机房 IDC1 中有三套机架 RAC1、RAC2、RAC3,机房 IDC2 有机架 RAC4、RAC5;西安机房 IDC3 有机架 RAC6。 +- 如上图中 RAC1 机架所示,TiDB、PD 服务部署在同一台服务器上,还有两台 TiKV 服务器;每台 TiKV 服务器部署 2 个 TiKV 实例(tikv-server),RAC2、RAC4、RAC5、RAC6 类似。 +- 机架 RAC3 上安放 TiDB Server 及中控 + 监控服务器。部署 TiDB Server,用于日常管理维护、备份使用。中控 + 监控服务器上部署 TiDB Ansible、Prometheus、Grafana 以及恢复工具; +- 另可增加备份服务器,其上部署 Mydumper 及 Dranier,Drainer 以输出 file 文件的方式将 binlog 数据保存到指定位置,实现增量备份的目的。 + +## 配置 + +### 示例 + +以下为一个 `tiup topology.yaml` 文件示例: -## 两地三中心部署配置 -### tiup topology.yaml 配置举例: ``` # # Global variables are applied to all deployments and used as the default value of # # the deployments if a specific deployment value is missing. @@ -105,15 +121,14 @@ grafana_servers: alertmanager_servers: - host: 10.63.10.60 ``` + ### Labels 设计 + 在两地三中心部署方式下,对于 Labels 的设计需要充分考虑到系统的可用性和容灾能力,建议根据部署的物理结构来定义 DC、ZONE、RACK、HOST 四个等级。 -![图3 label逻辑定义图](/media/three-data-centers-in-two-cities-deployment-03.png) -图3 label逻辑定义图 -

-图3 label逻辑定义图 -

-PD 设置 为 PD 设置 TiKV 部署位置等级信息。 +![label 逻辑定义图](/media/three-data-centers-in-two-cities-deployment-03.png) + +PD 设置为 PD 设置 TiKV 部署位置等级信息。 ``` server_configs: @@ -121,7 +136,7 @@ server_configs: replication.location-labels: ["dc","zone","rack","host"] ``` -TiKV Servers 设置基于 tikv 真实物理部署位置的 label 信息,方便 PD 进行全局管理和调度。 +tikv_servers 设置基于 TiKV 真实物理部署位置的 Label 信息,方便 PD 进行全局管理和调度。 ``` tikv_servers: @@ -143,46 +158,46 @@ tikv_servers: ``` ### 参数配置优化 + 在两地三中心的架构部署中,从性能优化的角度,除了常规参数配置外,还需要对集群中相关组件参数进行调整。 - 启用 tikv grpc消息压缩 由于涉及到集群中的数据在网络中传输,需要开启 gRPC 消息压缩,降低网络流量。 -``` -server.grpc-compression-type: gzip -``` + ``` + server.grpc-compression-type: gzip + ``` - 调整 PD balance 缓冲区大小,提高 PD 容忍度,因为 PD 会根据节点情况计算出各个对象的 score 作为调度的一句,当两个 store 的 leader 或 Region 的得分差距小于指定倍数的 Region size 时,PD 会认为此时 balance 达到均衡状态。 -``` -schedule.tolerant-size-ratio: 20.0 -``` - -- 异地 DC3 TiKV 节点网络优化,单独修改异地 tikv 此参数,拉长异地副本参与选举的时间,尽量避免异地 TiKV 中的副本参与 raft 选举。 + ``` + schedule.tolerant-size-ratio: 20.0 + ``` -``` -raftstore.raft-min-election-timeout-ticks: 1000 -raftstore.raft-max-election-timeout-ticks: 1200 -``` +- 异地 DC3 TiKV 节点网络优化,单独修改异地 TiKV 此参数,拉长异地副本参与选举的时间,尽量避免异地 TiKV 中的副本参与 Raft 选举。 -- 调度设置,在集群启动后,通过 tiup ctl pd 工具进行调度策略修改。修改 TiKV raft 副本数按照安装时规划好的副本数进行设置,在本例中为 5 副本。 + ``` + raftstore.raft-min-election-timeout-ticks: 1000 + raftstore.raft-max-election-timeout-ticks: 1200 + ``` -``` -config set max-replicas 5 -``` +- 调度设置,在集群启动后,通过 `tiup ctl pd` 工具进行调度策略修改。修改 TiKV raft 副本数按照安装时规划好的副本数进行设置,在本例中为 5 副本。 -- 禁止向异地机房调度 raft leader,当 raft leader 在异地数据中心时,会造成不必要的本地数据中心与异地数据中心间的网络消耗,同时由于网络带宽和延迟的影响,也会对 TiDB 的集群性能产生影响。需要禁用异地中心的 raft leader 的调度。 + ``` + config set max-replicas 5 + ``` -``` -config set label-property reject-leader dc 3 -``` +- 禁止向异地机房调度 Raft Leader,当 Raft Leader 在异地数据中心时,会造成不必要的本地数据中心与异地数据中心间的网络消耗,同时由于网络带宽和延迟的影响,也会对 TiDB 的集群性能产生影响。需要禁用异地中心的 raft leader 的调度。 -- 设置 PD 的优先级 为了避免出现异地数据中心的 PD 成为 leader,可以将本地数据中心的 PD 优先级调高(数字越大,优先级越高),将异地的 PD 优先级调低。 + ``` + config set label-property reject-leader dc 3 + ``` -``` -member leader_priority PD-10 5 -member leader_priority PD-11 5 -member leader_priority PD-12 5 -member leader_priority PD-13 5 -member leader_priority PD-14 1 -``` +- 设置 PD 的优先级,为了避免出现异地数据中心的 PD 成为 Leader,可以将本地数据中心的 PD 优先级调高(数字越大,优先级越高),将异地的 PD 优先级调低。 + ``` + member leader_priority PD-10 5 + member leader_priority PD-11 5 + member leader_priority PD-12 5 + member leader_priority PD-13 5 + member leader_priority PD-14 1 + ``` From a1b2e66d1c80ea4ec9fd3e0a7721d50a462c5561 Mon Sep 17 00:00:00 2001 From: Ran Date: Fri, 22 May 2020 14:26:31 +0800 Subject: [PATCH 4/4] Update three-data-centers-in-two-cities-deployment.md --- three-data-centers-in-two-cities-deployment.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/three-data-centers-in-two-cities-deployment.md b/three-data-centers-in-two-cities-deployment.md index 17b4f48c588f..9334112acab8 100644 --- a/three-data-centers-in-two-cities-deployment.md +++ b/three-data-centers-in-two-cities-deployment.md @@ -1,11 +1,12 @@ --- title: 两地三中心部署 +summary: 介绍两地三中心部署方式。 category: how-to --- # 两地三中心部署 -本文档简要介绍两地三中心部署的架构模型。 +本文档简要介绍两地三中心部署的架构模型及配置。 ## 简介