Gp Introduction 200811

Greenplum 公司介绍 ,[object Object],[object Object],[object Object],[object Object],[object Object]

Greenplum 公司介绍 ,[object Object],[object Object],[object Object],[object Object]

Greenplum 数据库 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Greenplum 数据库的关键特性 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],专门针对超大规模 BI 设计的新一款并行数据库系统

Greenplum 数据库软件以较小的成本提供可扩展的、快速分析 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

BI / DW 面对的挑战 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

BI 体系架构中的数据仓库器具 SUN HP IBM ORACLE DB2 EMC Hitachi Operational Systems Oracle IBM SQL Server MySQL Postgres 报表与分析 ,[object Object],[object Object],[object Object],[object Object],[object Object],Cisco Server Database Disk 抽取、转换、加载 (ETL) Informatica DataStage 集成硬件、关系型数据库和存储到一套设备中

Sun/Greenplum 数据仓库器具 ( Appliance) 的优势 ,[object Object],[object Object],[object Object],[object Object],[object Object]

开放性 = 拥有众多合作伙伴的生态环境 System Vendors ISVs Service Providers Platform

Gartner Magic Quadrant – Data Warehouse DBMS 2006 Magic Quadrant 2007 Magic Quadrant

客户案例： June 2006 January 2007 August 2007 0 500 1,000 2,000 3,000 4,000 2 Billion shares traded / day 3 Billion shares traded/day 4.9 Billion shares traded / day+ 日交易量 5,000 ,[object Object],[object Object],[object Object],[object Object],[object Object]

Case Study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],“ With Greenplum Database, we have increased the accuracy of our targeting by two orders of magnitude. The result is that the experience both for users as well as advertisers is continually improving.” -Adam Bain, VP Technology, Fox Interactive Media

Case Study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],“ The sheer amount of data involved has always been the key challenge. Greenplum technology enables us to better understand our customers and their needs.” – Alexander G. Seminiano, Department Head of Convergent Systems

Greenplum 体系架构 ,[object Object],[object Object],[object Object],[object Object]

Client Programs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Master Host ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Segments ,[object Object],[object Object],[object Object],[object Object],[object Object]

Interconnect ,[object Object],[object Object],[object Object],[object Object],[object Object]

Greenplum 高可靠性体系架构

Master Mirroring – Warm Standby Master

Greenplum 数据库的重要概念 ,[object Object],[object Object]

分区：并行的关键因素 Order Order # Order Date Customer ID Greenplum Database High Speed Loader 策略：将数据均匀的分布到尽可能多的节点上（和磁盘中） 43 Oct 20 2005 12 64 Oct 20 2005 111 45 Oct 20 2005 42 46 Oct 20 2005 64 77 Oct 20 2005 32 48 Oct 20 2005 12 50 Oct 20 2005 34 56 Oct 20 2005 213 63 Oct 20 2005 15 44 Oct 20 2005 102 53 Oct 20 2005 82 55 Oct 20 2005 55

[object Object],并行查询的实现在某一个段上扫描 customer 和 sales 表，寻找符合条件的记录，通常查询也会用到其它段上的数据这个例子假设查询计划器选择了 “ Hash Join” 操作，来进行两张表的连接操作，这种情况下，扫描的结果被传输到 Motion 操作，该操作或者是一个广播操作（在通过 Interconnect 发出之前，看看其他段有什么），或者是一个分发操作（把扫描得到的结果传送到其它段做连接），记录按照要连接的列进行重新哈希分布，并有 InterConnect 根据自己运行时的判断发送到正确的段 Hash 节点接收到他自己的一部分数据后，进行连接操作本地段的连接结果被送到 master ( 收集 Motion) ，形成最终的查询结果后，展示给用户

Greenplum 的管理组件 ,[object Object],[object Object]

Greenplum 3 ,[object Object],[object Object],[object Object],[object Object]

Key Features/Enhancements ,[object Object],[object Object],[object Object],[object Object],[object Object]

PB 级规模的数据加载 ,[object Object],[object Object],[object Object],[object Object]

External Data Streams ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Workload Optimization ,[object Object],[object Object]

Additional Capabilities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Compatible With Leading BI & ETL For Complete DW Solutions External Tables High Speed Loader JDBC™ ODBC SQL/92

Greenplum Database – Product Roadmap Proprietary & Confidential

硬件：“白盒子” ,[object Object],[object Object],[object Object],[object Object]

Greenplum and Hardware ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Example Segment Host Configuration

Anatomy of a “Node” Four Segment Instances Running Within One Sun Fire X4500 RAID Z Sets RAM 16GB AMD Opteron Core 1A Core 1B AMD Opteron Core 2A Core 2B Gig/E Gig/E Gig/E Gig/E 11 SATA Drives 11 SATA Drives 11 SATA Drives 11 SATA Drives Solaris 10 Greenplum Database Open Source Postgres Greenplum Database Open Source Postgres Greenplum Database Open Source Postgres Greenplum Database Open Source Postgres Primary A1 Mirror A4 Primary A2 Mirror A1 Primary A3 Mirror A2 Primary A4 Mirror A3 Primary B1 Mirror B4 Primary B2 Mirror B1 Primary B3 Mirror B2 Primary B4 Mirror B3 Primary C1 Mirror C4 Primary C2 Mirror C1 Primary C3 Mirror C2 Primary C4 Mirror C3 Primary D1 Mirror D4 Primary D2 Mirror D1 Primary D3 Mirror D2 Primary D4 Mirror D3

Segment Hosts – Disk Layouts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

SunDW Appliance Specifications ,[object Object],[object Object],[object Object],[object Object]

Master Specifications (X4200) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Segment Specifications (X4500) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

ZFS Disk Configurations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Hardware Verification and Testing ,[object Object],[object Object],[object Object],[object Object]

SUN Data Warehouse SUN x4500 (Thumper)

Sun DW Appliance Facts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Industry leader in performance, price, and power

SUN Data Warehouse SUN x4540 (Thor) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Proprietary & Confidential

Sun DW Appliance Configurations S1002 6 GB/sec. of I/O 10 TB capacity (20TB max) 1 Sun Fire X4200 server 10 Sun Fire X4500 servers 2 Sun 1000-42 racks 1 Sun Fire X4200 server 2 Sun Fire X4500 servers 1 Sun™ 1000-42 rack 1 Sun Fire X4200 server 4 Sun Fire X4500 servers 1 Sun 1000-42 rack S1004 12 GB/sec. of I/O 20 TB capacity (40TB max) S1010 30 GB/sec. of I/O 50 TB capacity (100TB max)

Sun DW Appliance Changes the Game 100 Terabytes 12 kW, 2 Racks $1.8M 20 Terabytes 20 kW, 8 Racks $20M 70 Terabytes 20 kW, 6 Racks $7M

Gp Introduction 200811

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Gp Introduction 200811