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PingCAP 公司受 Google [Spanner](http://research.google.com/archive/spanner.html) / [F1](http://research.google.com/pubs/pub41344.html) 论文启发而设计的开源分布式 HTAP (Hybrid Transactional and Analytical Processing) 数据库,结合了传统的 RDBMS 和 NoSQL 的最佳特性。TiDB 兼容 MySQL,支持无限的水平扩展,具备强一致性和高可用性。TiDB 的目标是为 OLTP (Online Transactional Processing) 和 OLAP (Online Analytical Processing) 场景提供一站式的解决方案。 +TiDB 是 PingCAP 公司设计的开源分布式 HTAP (Hybrid Transactional and Analytical Processing) 数据库,结合了传统的 RDBMS 和 NoSQL 的最佳特性。TiDB 兼容 MySQL,支持无限的水平扩展,具备强一致性和高可用性。TiDB 的目标是为 OLTP (Online Transactional Processing) 和 OLAP (Online Analytical Processing) 场景提供一站式的解决方案。 TiDB 具备如下核心特性: @@ -67,6 +67,10 @@ PD 是一个集群,需要部署奇数个节点,一般线上推荐至少部 TiKV Server 负责存储数据,从外部看 TiKV 是一个分布式的提供事务的 Key-Value 存储引擎。存储数据的基本单位是 Region,每个 Region 负责存储一个 Key Range(从 StartKey 到 EndKey 的左闭右开区间)的数据,每个 TiKV 节点会负责多个 Region。TiKV 使用 Raft 协议做复制,保持数据的一致性和容灾。副本以 Region 为单位进行管理,不同节点上的多个 Region 构成一个 Raft Group,互为副本。数据在多个 TiKV 之间的负载均衡由 PD 调度,这里也是以 Region 为单位进行调度。 +### TiSpark Server + +TiSpark 作为 TiDB 中解决用户复杂 OLAP 需求的主要组件,将 Spark SQL 直接运行在 TiDB 存储层上,同时融合 TiKV 分布式集群的优势,并融入大数据社区生态。至此,TiDB 可以通过一套系统,同时支持 OLTP 与 OLAP,免除用户数据同步烦恼。 + ## 核心特性 ### 水平扩展 From 8184adcae03462cd45a25dfe2f0c11f578350ae8 Mon Sep 17 00:00:00 2001 From: YiniXu9506 Date: Mon, 13 Aug 2018 19:56:53 +0800 Subject: [PATCH 2/2] replace picture and remove TiSpark section --- media/tidb-architecture.png | Bin 40496 -> 202756 bytes overview.md | 4 ---- 2 files changed, 4 deletions(-) diff --git a/media/tidb-architecture.png b/media/tidb-architecture.png index cef2626d0a8fb999424aafc856cf0f350e570f03..51d4f57aa7dd2deeb320dc8953ea43585217edb9 100644 GIT binary patch literal 202756 zcmeFZWmuJ4*ES4GkWfNFx+J8#8w6>jyGy!3x=IPloG zT3@(J=XP9Ab=(+oL4Y~M30F@Ivw(>t>x=pN{vit`c|MaQ8Z0u7FKUnPz_QdgSZ3xY zFn!-|GLH6ngjUaK&m8mw&+pVmR)6Jc!$jirnDbF{A{@cO*m0JrM`TG$Rt7 zr%#J(J`XtNh`1T(f}ZnQM3NoB{W9pQ{DH|J{v?HARi@49KTqN^8_v%gViC7|Xm= zM*^x4Le~f3TAAzP^}v0pOYb7O$k|1LB_M&t^+nr7U>6~a#^fh;4SN8;#3+A^GE 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zdm{R*zfWpW_<{Wfx@ZtSzvIsorS9z>;!%XrkQ|>L_W{57(EMBfJ#i;c0yZih_6u?pR)Dhm~+|}A6 z@=@ibDh$S&)VoM|TLHyfA;A^EK5Dp9`UKI!bf$m5918*AtaL+$O&?rV*AsIy!juYc&W+UlFt!1r$2FsY$u z55e|ev&U4hFfe$Fzcn2M@VW?HwvGyoba7xzfUSlS1xLOQ{%j&QaS2LEe0i&DP!u56)$N*WEvqdkhO~J znDyv+1yw7`t%9{)Uqx%n^PN(l{Wz~t!Gy~yn3ICFcX-Z|qVT=Ru6r>2-?s)06z(%>iNePAkBXuyWaO{N@~G0{vD!jwYCmcS9xMy{E7u;@sJs9*;K~Vs^t3^3&%Fk!{Yf#Rt z0-K$d*Zy1X!dWl*3wjb09V?Qcj@-1UFrzn2A5jJ0Um+D|1u~j5XF;=$CD>gJ^QqR1 z?j!XNzjNbsPR1gohH=LDKd$}J7n(V?OXMaNC`9;Zyb=O+u7GcZ z752((p#vvukTIT$+xmjb*SP`_CeMZN>bzCpw!i;>{*O=~L1Zs}+nkT`2@97x*z#Z2 Lj#gC{Zzug1s~*t# diff --git a/overview.md b/overview.md index 12e651e90218..d2a247190733 100644 --- a/overview.md +++ b/overview.md @@ -67,10 +67,6 @@ PD 是一个集群,需要部署奇数个节点,一般线上推荐至少部 TiKV Server 负责存储数据,从外部看 TiKV 是一个分布式的提供事务的 Key-Value 存储引擎。存储数据的基本单位是 Region,每个 Region 负责存储一个 Key Range(从 StartKey 到 EndKey 的左闭右开区间)的数据,每个 TiKV 节点会负责多个 Region。TiKV 使用 Raft 协议做复制,保持数据的一致性和容灾。副本以 Region 为单位进行管理,不同节点上的多个 Region 构成一个 Raft Group,互为副本。数据在多个 TiKV 之间的负载均衡由 PD 调度,这里也是以 Region 为单位进行调度。 -### TiSpark Server - -TiSpark 作为 TiDB 中解决用户复杂 OLAP 需求的主要组件,将 Spark SQL 直接运行在 TiDB 存储层上,同时融合 TiKV 分布式集群的优势,并融入大数据社区生态。至此,TiDB 可以通过一套系统,同时支持 OLTP 与 OLAP,免除用户数据同步烦恼。 - ## 核心特性 ### 水平扩展