Sun Oracle Exadata Technical Overview V1

Exadata and Database Machine Overview

金江 @Channel Sales Consultant
jenkin.jin@oracle.com 13701864820
26-Jan-2010

革命性产品 - Exadata
• Exadata存储服务器和数据库一体机

• V1比普通数据仓库性能快10到100倍 ;V2再次加速并创造TCP-C新世界纪录

• 最优异的扩展性，容量，带宽和处理能力

Agenda议程

• Overview

• Exadata Based Product Offerings

• Exadata Architecture and Features

• Best Data Warehousing Machine

• Best OLTP Machine

• Best Consolidation Machine

Copyright © 2009, Oracle Corporation and/or its affiliates – 3–

产品推出
Exadata Storage Server & Database Machine

• Exadata Storage Server • Sun Oracle Database Machine
– 专为Oracle数据库优化的存储产品 – 预配好的高性能
– 极限 I/O 和 SQL 处理性能 – 平稳的性能配置
– 硬件和软件的组合 – 在构建Oracle部署过程中远离不定
• Exadata Storage Server Software 因素
• Exadata Storage Server Software
• Oracle Database 11.2


挑战 – 诸多瓶颈

• 目前由于存储引起数据库性能的情况较多
– 存储系统限制了从存储到服务器的数据带宽
– 存储阵列内部瓶颈
– SAN的瓶颈
– 由于物理磁盘速度引起的随机I/O瓶颈
• 数据带宽严重限制了数据仓库的性能
• 随机 I/O 瓶颈限制了OLTP应用的性能


Exadata Storage Server
数据带宽瓶颈解决方案

• 增加更多信道
• 增宽信道
• 通过信道传送较少数据


Exadata Smart Storage
打破数据带宽和随机I/O 的瓶颈

Exadata Storage Cells
• Oracle 解决数据带宽瓶颈三种手段存储单元
– 大量的并行存储网格 of high performance Exadata
storage servers (cells).
• Data bandwidth scales with data volume
– 数据密集处理 runs in Exadata storage.
• Queries run in storage as data streams from disk,
offloading database server CPUs
– 列压缩减少数据容量 up to 10x
• Exadata Hybrid Columnar Compression provides 10x
lower cost, 10x higher performance

• 利用Exadata智能闪存缓冲卡来解决随机I/O瓶颈
– Increase random I/Os by factor of 20X


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Exadata Based Product Offerings


Sun Oracle Database Machine
• 网格是未来架构
• Highest performance, lowest cost, redundant, incrementally scalable
• Exadata数据库机是完全满足所有数据管理需求的第一款全面的网格架构

RAC Database Server Grid
• 8 High-performance low-cost Exadata Storage Server Grid
compute servers
• 14 High-performance low-cost
• 2 Intel quad-core Xeons each storage servers
• 100 TB raw SAS disk storage
InfiniBand Network or
• 40 Gb/sec fault-tolerant unified 336 TB raw SATA disk storage
server and storage network • 5TB+ flash storage!


Sun Oracle Database Machine

性能提高到极致

RAC Database Server Grid
• Millions of transactions Exadata Storage Server Grid
per minute
• 21 GB/sec disk bandwidth
• Tens of millions of queries
• 50 GB/sec flash bandwidth
per minute
• 1 million I/Os per second
• Billions of rows per minute

InfiniBand Network
• 880 Gb/sec aggregate throughput

Copyright © 2009, Oracle Corporation and/or its affiliates – 10 –

可扩展的性能和容量

• 扩展性 • 冗余和容错
– Scales to 8 rack database machine – Failure of any component is tolerated
by just adding wires
– Data is mirrored across storage
• More with external InfiniBand switches
servers
– Scales to hundreds of storage servers
• Multi-petabyte databases


大大简化部署

• 数据库机消除了部署数据库系统的复杂性
– Months of configuration, troubleshooting, tuning

• 数据库机当天即用
– Pre-built, tested, standard, supportable configuration
– Runs existing applications unchanged

• 即用的极致性能

数月到数天


Sun Exadata Storage Server Hardware
Sun Exadata Storage • 大量Exadata并行且网格化的存储块
Server Hardware – Up to 1.5 GB/sec raw data bandwidth per cell
– Up to 75,000 IOPS with Flash
• Sun Fire™ X4275 服务器
– 2 Quad-Core Intel® Xeon® E5540 Processors
– 24GB RAM
– Dual-port 4X QDR (40Gb/s) InfiniBand card
– Disk Options
硬件提供商 • 12 x 600 GB SAS disks (7.2 TB total)
• 12 x 2TB SATA disks (24 TB total)
– 4 x 96 GB Sun Flash PCIe Cards (384 GB total)
• 预装软件
– Oracle Exadata Storage Server Software
– Oracle Enterprise Linux
– Drivers, Utilities
软件提供商 • Oracle统一提供支持
– 3 year, 24 x 7, 4 Hr On-site response


Sun Exadata Storage Server Hardware

Dual-redundant, hot-
24 GB DRAM
swappable power supplies

ILOM

Disk Controller
HBA with 512M 12 x 3.5” Disk Drives
battery backed
cache

2 Quad-Core Intel®
Xeon® Processors

预装软件:
InfiniBand QDR • Oracle Exadata Storage Server Software
(40Gb/s) dual
4 x 96GB Sun
port card • Oracle Enterprise Linux
Flash PCIe
Cards • Drivers


Sun Oracle Database Machine Full Rack
Pre-Configured for Extreme Performance

• 8 Sun Fire™ X4170 Oracle Database servers
• 14 Exadata Storage Servers (All SAS or all SATA)
• 3 Sun Datacenter InfiniBand Switch 36
– 36-port Managed QDR (40Gb/s) switch
• 1 “Admin” Cisco Ethernet switch
• Keyboard, Video, Mouse (KVM) hardware
• Redundant Power Distributions Units (PDUs)
• Single Point of Support from Oracle

Add more racks for additional scalability


Sun Oracle Database Machine Half Rack

• 7 Exadata Storage Servers (All SAS or all
SATA)
– 36-port Managed QDR (40Gb/s) switch
• Redundant PDUs

Can Upgrade to a Full Rack


Sun Oracle Database Machine Quarter Rack

SATA)
– 36-port Managed QDR (40Gb/s)
InfiniBand switch
• Redundant PDUs

Can Upgrade to an Half Rack


Sun Oracle Database Machine Basic System
Entry Level non-HA Configuration

SATA)
– 36-port Managed QDR (40Gb/s) InfiniBand
switch
• InfiniBand Cables
• Installed in Customer supplied Rack
• Customer supplied Ethernet and KVM
Infrastructure


Standalone Exadata Storage Servers

• Purchase Exadata Storage Servers from Oracle
– Customer supplied standard 19 inch rack
• Customer supplied x86 64-bit Linux Database
Servers
• Hardware installation more complex
• No single point of support for entire deployment


Exadata 产品的容量

Single Server Quarter Rack Half Rack Full Rack

SAS 7.2 TB 21 TB 50 TB 100 TB
Raw Disk1
SATA 24 TB 72 TB 168 TB 336 TB

Raw Flash1 384 GB 1.1 TB 2.6 TB 5.3 TB

User Data2 SAS 2 TB 6 TB 14 TB 28 TB
(assuming no
compression) SATA 7 TB 21 TB 50 TB 100 TB

1 – Raw capacity calculated using 1 GB = 1000 x 1000 x 1000 bytes and 1 TB = 1000 x 1000 x 1000 x 1000 bytes.
2 - User Data: Actual space for end-user data, computed after single mirroring (ASM normal redundancy) and after
allowing space for database structures such as temp, logs, undo, and indexes. Actual user data capacity varies by
application. User Data capacity calculated using 1 TB = 1024 * 1024 * 1024 * 1024 bytes.


Exadata 产品的性能

Single Server Quarter Rack Half Rack Full Rack

Raw Disk Data SAS 1.5 GB/s 4.5 GB/s 10.5 GB/s 21 GB/s
Bandwidth1,4 SATA 0.85 GB/s 2.5 GB/s 6 GB/s 12 GB/s

Raw Flash Data Bandwidth1,4 3.6 GB/s 11 GB/s 25 GB/s 50 GB/s

Max User Data Bandwidth2,4
(10x compression & Flash)
36 GB/s 110 GB/s 250 GB/s 500 GB/s

SAS 3,600 10,800 25,000 50,000
Disk IOPS3,4
SATA 1,440 4,300 10,000 20,000
Flash IOPS3,4 75,000 225,000 500,000 1,000,000
Data Load Rate4 0.65 TB/hr 1 TB/hr 2.5 TB/hr 5 TB/hr
1 – Bandwidth is peak physical disk scan bandwidth, assuming no compression.
2 - Max User Data Bandwidth assumes scanned data is compressed by factor of 10 and is on Flash.
3 – IOPs – Based on IO requests of size 8K
4 - Actual performance will vary by application.



Exadata Architecture and Features


Exadata的配置
Single-Instance Database RAC Database

InfiniBand Switch/Network

Exadata Cell Exadata Cell Exadata Cell

• 每个Exadata 单元是拥有磁盘存储且运行Exadata软件的自我控制服务器

• Oracle数据库跨越不同Exadata单元进行部署

• Oracle数据库与Exadata存储服务器之间增强协作

• 在网格架构内没有实际的Exadata单元的限制


Exadata的架构

Single-Instance RAC
Database Database
DB Server DB Server DB Server
DB Instance DB Instance DB Instance Enterprise
DBRM DBRM DBRM Manager

ASM ASM ASM

iDB Protocol over
InfiniBand Switch/Network InfiniBand with
Path Failover

OEL OEL OEL
CELLSRV MS CELLSRV MS CELLSRV MS Cell
IORM RS IORM RS IORM RS Control
CLI

… … …


Exadata软件的特性
• Exadata Smart Scans 智能扫描
– 10X or greater reduction in data sent to database servers
• Exadata Storage Indexes 存储索引
– Eliminate unnecessary I/Os to disk
• Hybrid Columnar Compression (HCC) 混合列压缩
– Efficient compression increases effective storage capacity and increases
user data scan bandwidths by a factor of 10X
• Exadata Smart Flash Cache 智能闪存缓存
– Breaks random I/O bottleneck by increasing IOPs by 20X
– Doubles user data scan bandwidths
• I/O Resource Manager (IORM) 资源管理
– Enables storage grid by prioritizing I/Os to ensure predictable performance
• Inter-leaved Grid Disks 交错网格硬盘
– Enables storage grid that allows multiple applications to place frequently
accessed data on faster portions of the disk


Exadata Smart Scan 智能扫描

• Exadata 存储单元通过扫描卸载大大减少了传送到
数据库服务器的数据
– Row filtering based on “where” predicate
– Column filtering
– Join filtering
– Incremental backup filtering
11.2
– Scans on encrypted data
11.2 – Data Mining model scoring

• 正常情况下减少10x 数据量

• 完全应用透明
– Even if cell or disk fails during a query


传统的扫描过程



• 智能扫描举例:
SELECT
Rows Returned – 寻找消费超过$200手机用户
customer_name
FROM calls – 用户信息仅占用1T表中的
WHERE amount > 2M空间
200;
 • 传统存储情况下，所有的数据
DB Host reduces 库智能操作都在数据库节点中
terabyte of data to 1000 完成

customer names that
Table
are returned to client
Extents • 来源于存储的数据被数据库主
Identified 机大部分所丢弃

• 大量的废弃数据占用了宝贵的
  数据库主机资源，严重影响任
I/Os Issued I/Os Executed: 务执行
1 terabyte of data
returned to hosts


Exadata 智能扫描过程

SELECT
customer_name  • 仅关心相关列
FROM calls Rows Returned – customer_name
WHERE amount > and required rows
200;
– where amount>200
are are returned to hosts

 Consolidated • 条件评估消耗的CPU 可卸载到
Smart Scan Result Set Exadata
Constructed And Built From All
Sent To Cells Cells
• 从数据库节点上移除扫描进程已
获得更多可用CPU资源，消除大
量无价值消息

Smart Scan – Returns the needle, not the entire
 hay stack
identifies rows and
2MB of data
columns within
returned to server
terabyte table that
match request


智能扫描的透明特性
• 对应用完全透明
– No application or SQL changes required
– Returned data is fully consistent and transactional
– If a cell dies during a smart scan, the uncompleted portions
of the smart scan are transparently routed to other cells
containing a replica of the data

• 能正常处理复杂的场景包括
– Uncommitted data and locked rows
– Chained rows
– Compressed tables
– National Language Processing
– Date arithmetic
– Regular expression searches
– Partitioned tables

高吞吐量, 低开销, 无需复杂优化


Exadata Smart Scans:
11.2
卸载data mining scoring

• Data mining scoring executed in Exadata:

select cust_id
from customers
where region = ‘US’ Scoring function
and prediction_probability(churnmod, ‘Y’ using *) > 0.8; executed in
Exadata

• All data mining scoring functions offloaded to Exadata
• Up to 10x performance gains
• Reduced CPU utilization on Database Server


Exadata Storage Index 存储索引 11.2
无成本的透明消除I/O

Table Index • Exadata Storage Indexes maintain summary
A B C D information about table data in memory
– Store MIN and MAX values of columns
1 – Typically one index entry for every MB of disk
Min B = 1
3
Max B =5 • Eliminates disk I/Os if MIN and MAX can never
5 match “where” clause of a query
5
8 Min B = 3 • Completely automatic and transparent
Max B =8
3

Select * from Table where B<2 - 只有第一个集合能匹配


Exadata Hybrid Columnar Compression
混合列压缩
11.2
• 数据在列级存储然后再压缩

• 查询模式针对数据仓库
– Optimized for speed
– 10X compression ratio is typical Up To

50X
– Scans improve proportionally

• 归档模式针对不常查询的数据
– Optimized to reduce space
– 15X compression is typical
– Up to 50X for some data


如何工作
Compression
Unit • Tables are organized into sets of a few thousand
rows called Compression Units (CUs)

• Within Compression Unit, data is Organized by
Column and then compressed
– Column organization brings similar values close
together, enhancing compression
Reduces
Table Size
4x to 50x • Useful for data that is bulk loaded and queried
4x to 40x
Reduction – Update activity is light


数据仓库型和归档型

Warehouse Compression Archive Compression
针对速度优化针对空间优化
• 10x average storage savings • 15x average storage savings
• 10x Scan I/O reduction – Up to 50x on some data
• Some access overhead
• For cold or historical data

Smaller Warehouse Reclaim 93% of Disks
Faster Performance Keep Data Online

Can mix compression types by partition for ILM


真实场景中的压缩比
Oracle Production E-Business Suite Tables
52
50 OLTP Compression (avg=3.3)
43
Size Reduction Factor by Table

45 Query Compression (avg=14.6)
40 Archive Compression (avg=22.6)
35 29
30
25 19 19 19 20 21
20 16
15 10 10 10 11
10
5
0

• Columnar compression ratios
• Query = 14.6X
• Archive = 22.6X
• Vary by application and table


磁盘随机 I/O 瓶颈

300 I/O per Sec • 磁盘存放海量数据
– But are limited to about 300 I/Os per second

• 闪存技术存放较少数据
– But can run tens of thousands of I/Os
per second

• 理想的解决方式
– Keep most data on disk for low cost
10000X I/O’s per Sec – Transparently move hot data to flash
– Use flash cards instead of flash disks to avoid disk
controller limitations
– Flash cards in Exadata storage
• High bandwidth, low latency interconnect


Exadata Smart Flash Cache
智能闪存缓存
11.2
• 在4快Flash卡中透明的缓存热数据

• 使用基于快捷PCI的Flash卡来获得更大的吞吐
量和IOPs,并规避磁盘控制器的限制

• 智能缓存
– Smarter than basic LRU algorithm
– Knows when to skip caching objects to 4 x 96 GB Flash Cards
avoid polluting or flushing the cache

• 允许应用显式优化缓存


Flash Cache对SGA的透明扩展
4. User Process Extended Buffer Cache
reads blocks
from SGA
(copied from
Flash Cache if
not in SGA)

Hot Data Warm Data
16 GB 120 GB
SGA Memory 3. Clean blocks Flash Cache
moved to
Flash Cache
based on
LRU*

1. Blocks read 2. Dirty blocks flushed to
into buffer disk
cache

Cold Data * Headers for Flash
360 GB
Magnetic Disks Cached blocks kept in
SGA


Exadata I/O Resource Management
混合工作负载环境

• 传统存储环境中，同数据库中的用户或共享子存储的多个数据库由于应
用处理无法平衡，从而束缚了共享存储的创建和管理
– Hardware isolation is the approach to ensure separation

• Exadata I/O 资源管理确保一个数据库内的不同用户和任务可分配相对合
理的 I/O 资源

• 举例:
– Interactive: 50% of I/O resources Database
Server
– Reporting: 30% of I/O resources
– ETL: 20% of I/O resources



Exadata I/O Resource Management
多个数据库环境

• 确保不同的数据库可分配相对合理的I/O 带宽
– Database A: 33% I/O resources
– Database B: 67% I/O resources

• 确保一个数据库内不同的用户和任务可分配相对合理的I/O 带宽
– Database A:
• Reporting: 60% of I/O resources
Database A Database B
• ETL: 40% of I/O resources
– Database B:
• Interactive: 30% of I/O resources
• Batch: 70% of I/O resources InfiniBand Switch/Network



Exadata 可扩展的存储网格
• 使用Automatic Storage Management实现动态虚拟化存储
– Simple and non-intrusive resource allocation, and reallocation, enabling true
enterprise grid storage
– Database work spread across storage resources for optimal performance

• 强大的存储分配手段和管理机制
– Flexible configuration for performance and availability

Single-Instance Database RAC Database




Exadata 存储层级

• Physical disks map to Cell Disks
• Cell Disks partitioned into one or multiple Grid Disks
• Grid Disks created in order of “hottest” first to “coldest” portion of the
disk last
• ASM diskgroups created from Grid Disks
• Transparent above the ASM layer

ASM disk
Grid Disk 1
Cell
Physical …
Disk Disk
ASM disk
Grid Disk n
Sys Area Sys Area


Exadata 存储层级示例
ASM 镜像和容错设计

ASM ASM
Failure Group Exadata Cell Exadata Cell Failure Group

Hot Hot Hot Hot Hot Hot

Cold Cold … Cold Cold Cold … Cold

• Example shows cell disks divided into two grid disks ASM
– hot and cold Disk Group
• Two ASM disk groups created across the two sets of grid disks
• ASM striping evenly distributes I/O across the disk groups
• ASM mirroring is used to protect against disk failures
• ASM failure groups are used to protect against cell failures


Interleaved Grid Disks 11.2
交错网格硬盘
Grid Disk 1
Hot Data, Cold Data

• Grid disks are optionally split and interleaved
to place frequently accessed data in all grid
disks on higher performing outer tracks

• All applications benefit from higher
performance outer tracks of disks

Grid Disk 2
Hot Data, Cold Data


Exadata 存储的管理

• Enterprise Manager
– Manage & administer Database and ASM
• Exadata Storage Plug-in ( > 10.2.0.3)
– Enterprise Manager Grid Control Plug-in to monitor & manage
Exadata Storage Cells
• Comprehensive CLI
– Local Exadata Storage cell management
– Distributed shell utility to execute CLI across multiple cells
• Sun Embedded Integrated Lights Out Manager (ILOM)
– Remote management and administration of hardware


数据保护的有效手段
• All single points of failure eliminated by the Exadata Storage architecture
• Hardware Assisted Resilient Data (HARD) built in to Exadata Storage
– Prevent data corruption before it happens
• Data Guard provides disaster protection and data corruption protection
– Automatically maintains one or more copies of the database
• Flashback provides human error protection
– Snapshot-like capabilities to rewind database to before error
• Recovery Manager (RMAN) provides backup to disk
– Archiving and corruption protection
– Can be used with Oracle Secure Backup (OSB) or third party tape
backup software
• These work just as they do for traditional non-Exadata storage
– Users and database administrator use familiar tools


Exadata 共存与迁移

• 数据库可并存部署在Exadata和传统存储上
– Tablespaces can exist on Exadata storage, traditional torage, or a combination of the
two, and is transparent to database applications
– SQL offload processing requires all pieces of a tablespace reside on Exadata

• 如果当前使用ASM及ASM冗余可以在线迁移
Database
• 可使用RMAN或Data Guard来完成迁移 Server

Exadata Non-Exadata

Online Migration



Best Data Warehouse Machine


Best Data Warehouse Machine

• 大量高容量的硬件并行加速处理海量数据
– Exadata runs data intensive processing
OLAP directly in storage

• 最全面的分析能力
– OLAP, Statistics, Spatial, Data Mining, Real-time
transactional ETL, Efficient point queries

ETL
• 强大的数据仓库特别优化手段
– Flexible Partitioning, Bitmap Indexing, Join indexing,
Materialized Views, Result Cache

Data Mining
• 卓越的新数据仓库功能
New


Exadata 存储特性

• Exadata 智能扫描
– 10X or greater reduction in data sent to database servers

• Exadata 存储索引
– Eliminate unnecessary I/Os to disk

• Hybrid Columnar Compression 混合列压缩
– Efficient compression increases user data scan rates

• Exadata 闪存
– Combined with Hybrid Columnar Compression, scan rate
is 20X more


内存中并行执行

SQL 确定所查询表的大小如果表非常适用于将表的各部分读到每个
语句内存中并行执行节点的缓冲区缓存中

表非常大
表非常小

只有同一RAC 节点
读到任意节点的上的并行服务器可
以访问每个部分
缓冲区缓存中直接从磁盘读取


内存中并行执行 11.2

• 单个数据库一体机拥有400GB的可缓存内存
QphH: 1 TB TPC-H

1,166,976

1,018,321 • 数据库版本11.2 引入了对内存缓冲数据的并
行查询处理
– Harnesses memory capacity of entire database
cluster for queries
– Foundation for world record 1TB TPC-H

315,842
• Exadata混合列压缩实现了将多个T级表或分
区缓存在内存中

ParAccel Exasol Oracle & HP
Exadata
Memory has 100x more bandwidth than Disk
比特定的内存数据仓库还快

Source: Transaction Processing Council, as of 9/14/2009:
Oracle on HP Bladesystem c-Class 128P RAC, 1,166,976 QphH@1000GB, $5.42/QphH@1000GB, available 12/1/09.
Copyright © 2009, Oracle Corporation and/or its affiliates Exasol on PRIMERGY RX300 S4, 1,018,321 QphH@1000GB, $1.18/QphH@1000GB, available 08/01/08. – 52 –
ParAccel on SunFire X4100 315,842 QphH@1000GB, $4.57 /QphH@1000GB, available 10/29/07.

大型扫描获得多级收益

10 TB 用户数据需要 1 TB 100 GB
10 TB 的IO 压缩分区裁剪

亚秒级
On Database
Machine
20 GB 5 GB
存储索引智能扫描

数据减少10倍，扫描加快2000倍


DBFS – 可扩展共享的文件系统
11.2
• Database Machine comes with DBFS shared Linux file system
– Shared storage for ETL staging, scripts, reports and other application files

• Files stored as SecureFile LOBs in database tables stored in Exadata
– Protected like any DB data – mirroring, DataGuard, Flashback, etc.

• 5 to 7 GB/sec file system I/O throughput

使用外部表来加载数据

ETL Files in DBFS ETL

比高端NAS文件系统更高的吞吐量



Best OLTP Machine


Best OLTP Machine

• 仅Oracle能运行“基于网格”的真实商业应用

• 特有的可容错可扩展 OLTP 数据库
– RAC, Data Guard, Online Operations

• 特有的可容错可扩展，适配OLTP的存储
– ASM, Exadata

• 卓越的新 OLTP 能力


Exadata Flash 11.2
解决随机I/O瓶颈

•Sun Oracle 数据库一体机拥有5+TB
闪存存储
•Exadata Smart Cache 缓存热点数据
•数据库一体机能实现:
– 20x more random I/Os
• Over 1 million per second
– 2x faster sequential query I/O
• 50 GB/sec
– 10x better I/O response time
•Sub-millisecond
– Greatly Reduced Cost
第一款实现闪存优化的 • 10x fewer disks for IOPS
数据库
• Lower Power


Complete, Open, Integrated Availability
Maximum Availability Architecture最大可用性架构

Real Active
Application Data Guard
Clusters

ASM
WAN
Fast Secure
Backup
Recovery Area

• Protection from • Real-time remote standby open for queries
– Server Failures • Human error correction
– Storage Failures – Database, table, row, transaction level
– Network Failures • Online indexing and table redefinition
– Site Failures • Online patching and upgrades


Complete, Open, Integrated Security

监控 Audit
Configuration Vault Total
Management Recall

访问控制

Database Label
Vault Security

加密和屏蔽

Advanced Data
Secure
Security Masking
Backup



Best Consolidation Machine


整合架构

ERP
CRM

ERP CRM
Warehouse HR

Data Mart
Warehouse HR Data Mart

• 融合到数据库一体机
– High performance for all applications
– Low cost platform for all applications
– Predictable response times in a shared environment
– Handles all data management needs
– Complete, Open, Integrated


Consolidate Storage
• Exadata和ASM可跨多个数据库共享所有的存储
服务器

• 配置共享
ERP
– Advanced data striping spreads every database
across all storage servers
CRM
– Eliminates hot-spots and captive unused space
– Full storage grid performance available to all
Warehouse databases
– Database or cluster level storage security
Data Mart
• 可预测性能
HR
– Exadata I/O resource manager prioritizes I/Os to
ensure predictable performance
• At user, job, application, or database level
– No need for isolated storage islands


Consolidate Servers

• 多个数据库可运行在多个数据库一体机上

ERP
• 配置共享
CRM – Applications connect to a database service that
runs on one or more database nodes
• Services can grow, shrink, & move dynamically
Warehouse – Large databases can span nodes using RAC
– Multiple small databases can run on a single node

• 可预测性能
HR Data
– Instance caging provides predictable CPU
Mart resources when multiple databases run on the
same node
• Restricts a database to subset of processors


Best Consolidation Machine

• 在单一系统里整合不同工作负载
– Warehouse oriented bulk data processing
ERP – OLTP oriented random updates
– Multimedia oriented streaming files
CRM
• Sun Oracle数据库一体机以极致性能处理任何
Warehouse 混合后的工作负载
– And predictable response times
Data Mart
• 卓越的新混合能力
HR


Exadata的价值主张

• 极限性能

• 线性扩展

• 企业即用

• 开放标准


未来的架构
大规模的并行网格

Best for Data Warehousing
Best for OLTP
Best for Consolidation


Sun Oracle Exadata Technical Overview V1

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