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    Oracle Exadata Database Machine Overview

    Copyright 2010, Oracle Corporation and/or its affiliates

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    Copyright 2010, Oracle Corporation and/or its affiliates 2

    Best Machine forData Warehousing

    Best Machine forOLTP

    Best Machine forDatabase Consolidation

    UniqueArchitecture Makes it Fastest, Lowest Cost

    Exadata Database MachineBest Platform to Run the Oracle Database

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    Exadata in the MarketplaceRapid adoption in all geographies and industries

    Copyright 2010, Oracle Corporation and/or its affiliates 3

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    Exadata Hardware Architecture

    Database Grid Intell igent Storage Grid

    InfiniBand Network

    Redundant 40Gb/s switches

    Unified server & storage

    network

    14 High-performance low-coststorage servers

    8 Dual-processor x64database servers

    OR

    2 Eight-processor x64database servers

    Scaleable Grid of industry standard servers forCompute and Storage Eliminates long-standing tradeoff between Scalability, Availability, Cost

    100 TB High Performance disk,or336 TB High Capacity disk

    5.3 TB PCI Flash

    Data mirrored across storageservers

    Copyright 2010, Oracle Corporation and/or its affiliates 4

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    Standardized and Simple to Deploy

    All Database Machines are the same

    Delivered ready-to-run

    Tested

    Highly supportable

    No unique configuration issues

    Identical to config used by Oracle Engineering

    Runs existing OLTP and DW applications

    Full 30 years of Oracle DB capabilities

    No Exadata certification required

    Leverages Oracle ecosystem

    Skills, knowledge base, people, partners

    Deploy in Days,

    Not Months

    Copyright 2010, Oracle Corporation and/or its affiliates 5

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    Exadata Storage Server Building Block

    High-performance storage server built fromindustry standard components

    12 disks - 600 GB 15000 RPM High

    Performance SAS or 2TB 7200 RPM HighCapacity SAS

    2 Six-Core Intel Xeon Processors (L5640)

    Dual ported 40 Gb/sec InfiniBand

    4 x 96 GB Flash Cards

    Intelligent Exadata Storage Server Software

    Hardware by Sun

    Software by Oracle

    Copyright 2010, Oracle Corporation and/or its affiliates 6

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    New - Exadata Database Machine X2-8 Full RackExtreme Performance for Consolidation, Large OLTP and DW

    2 x64 Eight-processor Database servers (Sun Fire 4800)

    High Core, High Memory Database Servers

    128 CPU cores (64 per server)

    2 TB (1 TB per server)

    10 GigE connectivity to Data Center

    16 x 10GbE ports (8 per server)

    14 Exadata Storage Servers X2-2

    All with High Performance 600GB SAS disks

    OR

    All with High Capacity 2 TB SAS disks

    3 Sun Datacenter InfiniBand Switch 36

    36-port Managed QDR (40Gb/s) switch

    1 Admin Cisco Ethernet switch Redundant Power Distributions Units (PDUs)

    Add more racks for additional scalability

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    Exadata Database Machine X2-2 Full RackPre-Configured for Extreme Performance

    8 x64 Dual-procesor Database Servers (Sun Fire X4170 M2)

    96 cores (12 per server)

    768 GB memory (96GB per server)

    10 GigE connectivity to Data Center 16 x 10GbE ports (2 per server)

    14 Exadata Storage Servers X2-2

    All with High Performance 600GB SAS disks

    OR

    All with High Capacity 2 TB SAS disks

    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)

    Add more racks for additional scalability

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    4 x64 Dual-procesor Database Servers (Sun Fire X4170M2)

    48 cores (12 per server)

    384 GB memory (96GB per server)

    10 GigE connectivity to Data Center

    8 x 10GbE ports (2 per server)

    7 Exadata Storage Servers X2-2

    All with High Performance 600GB SAS disks

    OR

    All with High Capacity 2 TB SAS disks

    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)

    Can Upgrade to a Full Rack

    Exadata Database Machine X2-2 Half RackPre-Configured for Extreme Performance

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    Can Upgrade to an Half Rack

    Exadata Database Machine X2-2 Quarter RackPre-Configured for Extreme Performance

    2 x64 Dual-procesor Database Servers (Sun Fire X4170 M2)

    24 cores (12 per server)

    192 GB memory (96GB per server)

    10 GigE connectivity to Data Center 4 x 10GbE ports (2 per server)

    3 Exadata Storage Servers X2-2

    All with High Performance 600GB SAS disks

    OR

    All with High Capacity 2 TB SAS disks

    2 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)

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    Start Small and GrowField Upgradeable

    FullRack

    HalfRack

    Balanced Incremental Scaling for OLTP and DW

    QuarterRack

    Copyright 2010, Oracle Corporation and/or its affiliates 11

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    Scale to 8 Racks by Just Adding CablesFull Bandwidth and Redundancy

    Copyright 2010, Oracle Corporation and/or its affiliates 12

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    Complete Family Of Database MachinesFor OLTP, Data Warehousing & Consolidated Workloads

    Quarter, Half, Full and Multi-Racks Full and Multi-Racks

    Oracle Exadata X2-8Oracle Exadata X2-2

    Copyright 2010, Oracle Corporation and/or its affiliates 13

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    Database Server Operating System Choices

    Two Operating System Choices on the database servers

    Oracle Linux

    Solaris 11 Express (x86) Coming Soon Customers will choose their preferred Database Server

    OS at installation time

    Exadata Storage Servers will continue to be Oracle Linux

    Copyright 2010, Oracle Corporation and/or its affiliates 14

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    Copyright 2010, Oracle Corporation and/or its affiliates 15

    Exadata Product Capacity (Uncompressed)

    X2-8

    Full Rack

    X2-2

    Full Rack

    X2-2

    Half Rack

    X2-2

    Quarter Rack

    Raw Disk1High Perf Disk 100 TB 100 TB 50 TB 21 TB

    High Cap Disk 336 TB 336 TB 168 TB 72 TBRaw Flash1 5.3 TB 5.3 TB 2.6 TB 1.1 TB

    Usable Capacity with ASMnormal redundancy2

    High Perf Disk 45 TB 45 TB 22.5 TB 9.25 TB

    High Cap Disk 150 TB 150TB 75 TB 31.5 TB

    Usable Capacity with ASMhigh redundancy3

    High Perf Disk 30 TB 30 TB 15 TB 6.25 TB

    High Cap Disk 100 TB 100TB 50 TB 21.5 TB

    1 - Raw capacity calculated using standard disk drive raw space terminology of 1 GB = 1000 x 1000 x 1000 bytes and1 TB = 1000 x 1000 x 1000 x 1000 bytes.

    2 - Actual space available for a database after mirroring (ASM normal redundancy) and leaving one empty disk tohandle disk failures. Capacity calculated using normal space terminology of 1 TB = 1024 * 1024 * 1024 * 1024 bytes.

    3 - Actual space available for the database computed after triple mirroring (ASM high redundancy). Capacity

    calculated using normal space terminology of 1 TB = 1024 * 1024 * 1024 * 1024 bytes.

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    Copyright 2010, Oracle Corporation and/or its affiliates 16

    Exadata Product Performance

    X2-8

    Full Rack

    X2-2

    Full Rack

    X2-2

    Half Rack

    X2-2

    QuarterRack

    Raw Disk DataBandwidth1,3

    High Perf Disk 25 GB/s 25 GB/s 12.5 GB/s 5.4 GB/s

    High Cap Disk 14 GB/s 14 GB/s 7 GB/s 3 GB/s

    Raw Flash DataBandwidth1,3

    High Perf Disk 75 GB/s 75 GB/s 37.5 GB/s 16 GB/s

    High Cap Disk 64 GB/s 64 GB/s 32 GB/s 13.5 GB/s

    Disk IOPS2,3High Perf Disk 50,000 50,000 25,000 10,800

    High Cap Disk 25,000 25,000 12,500 5,400

    Flash IOPS2,3 1,500,000 1,500,000 750,000 375,000

    Data Load Rate4 12 TB/hr 12 TB/hr 6 TB/hr 3 TB/hr

    1 - Bandwidth is peak physical disk scan bandwidth achieved running SQL, assuming no compression.

    2 - IOPs Based on peak IO requests of size 8K running SQL. Note that other products quote IOPs based on 2K, 4Kor smaller IO sizes that are not relevant for databases.

    3 - Actual performance will vary by application.

    4 - Load rates are typically limited by CPU, not IO. Rates vary based on load method, indexes, data types,

    compression, and partitioning

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    Exadata Storage Software Unique Features

    Exadata Smart Scans 10X or greater reduction in data sent

    to database servers

    Exadata Storage Indexes Eliminate unnecessary I/Os

    Hybrid Columnar Compression Efficient compression increaseseffective storage capacity andincreases user data scan bandwidthsby a factor of up to 10X

    Exadata Smart Flash Cache Breaks random I/O bottleneck by

    increasing IOPs by up to 20X

    Doubles user data scan bandwidths

    I/O Resource Manager (IORM) Enables storage grid by prioritizing

    I/Os to ensure predictable

    performance

    Quality of Service (QoS) Actively meet and maintain SLAs

    Memory Guard to protect existingcurrent transactions from memory-based failures

    Copyright 2010, Oracle Corporation and/or its affiliates 17

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    Data Intensive processing runs in Exadata

    Storage Grid Filter rows and columns as data streams from

    disks (168 Intel Cores)

    Example: How much product X sold last quarter Exadata Storage Reads 10TB from disk

    Exadata Storage Filters rows by Product & Date

    Sends 100GB of matching data to DB Servers

    Scale-out storage parallelizes execution andremoves bottlenecks

    Exadata Intell igent Storage Grid

    Most Scalable Data Processing

    Copyright 2010, Oracle Corporation and/or its affiliates 18

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    Simple Query Example

    Exadata

    Storage Grid

    SUM

    OptimizerChooses

    Partit ions andIndexes toAccess

    10 TB scanned

    1 GB returned to servers

    OracleDatabase Grid

    What were mysales yesterday?

    Select

    sum(sales)where

    Date=24-Sept

    Scan compressedblocks in

    partitions/indexes

    Retrieve sales

    amounts forSept 24

    Copyright 2010, Oracle Corporation and/or its affiliates 19

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    Exadata Intelligent Storage

    Exadata storage servers also run more complexoperations in storage Join filtering

    Incremental backup fil tering

    I/O prioritization

    Storage Indexing

    Database level security

    Offloaded scans on encrypted data

    Data Mining Model Scoring

    10x reduction in data sent to DB serversis common

    ExadataIntelligent Storage

    Grid

    Copyright 2010, Oracle Corporation and/or its affiliates 20

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    Exadata is Smart Storage

    Storage Server is smart storage, not a DB node

    Storage remains an independent tier

    Database Servers

    Perform complex database processing such as

    joins, aggregation, etc.

    Exadata Storage Servers

    Search tables and indexes filtering out data that is

    not relevant to a query Cells serve data to multiple databases enabling

    OLTP and consolidation

    Simplicity, and robustness of storage appliance

    Compute and MemoryIntensive Processing

    Data IntensiveProcessing

    Copyright 2010, Oracle Corporation and/or its affiliates 21

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    Copyright 2010, Oracle Corporation and/or its affiliates 22

    Exadata Storage IndexTransparent I/O Elimination with No Overhead

    Exadata Storage Indexes maintain summaryinformation about table data in memory

    Store MIN and MAX values of columns

    Typically one index entry for every MB of disk

    Eliminates disk I/Os if MIN and MAX can never

    match where clause of a query

    Completely automatic and transparent

    A B C D1

    3

    5

    5

    8

    3

    Min B = 1

    Max B =5

    Table Index

    Min B = 3

    Max B =8

    Select * from Table where B

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    Storage Index with Partitions Example

    Queries on Ship_Date do not benefit from Order_Date partitioning

    However Ship_date and Order# are highly correlated with Order_Date

    e.g. Ship dates are usually near Order_Dates and are never less

    Storage index provides partition pruning like performance for queries onShip_Date and Order#

    Takes advantage of ordering created by partitioning or sorted loading

    Order# Order_Date

    Partitioning Column

    Ship_Date Item

    1 2007 20072 2008 2008

    3 2009 2009

    Orders Table

    Copyright 2010, Oracle Corporation and/or its affiliates 23

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    Storage Index with Joins Example

    A M C D

    1

    3

    5

    5

    55

    FactDimension

    Name M

    Accord 1

    Camry 3

    Civic 5

    Prius 8

    Bloom filterconstructed with

    min/max for M

    Skip IO

    Due to Storage Index

    Perform IO and

    apply bloom fil ter

    Select count(*) from fact, dim

    where fact.m=dim.m and dim.name=Camry

    Copyright 2010, Oracle Corporation and/or its affiliates 24

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    Exadata Smart Flash Cache

    Extreme Performance OLTP & DW

    5X More I/Os than1000 Disk Enterprise

    Storage Array

    Exadata has 5 TB of flash

    56 Flash PCI cards avoid diskcontrol ler bottlenecks

    Intelligently manages flash

    Smart Flash Cache holds hot data

    Avoids large scan wipe-outs of cache

    Gives speed of flash, cost of disk

    Exadata flash cache achieves:

    Over1.5 mill ion IO/sec from SQL (8K)

    Sub-millisecond response times

    Copyright 2010, Oracle Corporation and/or its affiliates 25

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    Exadata Hybrid Columnar Compression

    Highest Capacity, Lowest Cost

    Data is organized and compressed by column Dramatically better compression

    Speed Optimized Query Mode for DataWarehousing 10X compression typical

    Runs faster because of Exadata offload!

    Space OptimizedArchival Mode forinfrequently accessed data 15X to 50X compression typical

    Q

    uery

    Faster and Simpler

    Backup, DR, Caching,Reorg, Clone

    Benefits Multiply

    Copyright 2010, Oracle Corporation and/or its affiliates 26

    C C

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    Exadata Hybrid Columnar Compression

    How it works

    Tables are organized into sets of a few thousand rows Compression Units (CUs)

    Within CU, data is organized by column, then compressed Column organization brings similar values close together,enhancing compression

    Useful for data that is bulk loaded and queried

    Update activity is light

    Compared to best conventional algorithms Gzip, Bzip2 Typically 2X the compression, 10X the performance

    Exadata servers offload filtering, projection, etc. for scanson compressed data

    Indexed accesses return compressed blocks to database sobuffer cache benefits from compression

    Reduces

    Table Size

    4x to 40x

    4x to 50xReduction

    CompressionUnit

    Copyright 2010, Oracle Corporation and/or its affiliates 27

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    Compression Ratio of Real-World Data

    Compression Ratio varies bycustomer and table

    Trials were run on largest tableat 10 ultra large companies

    Average revenue > $60 BB

    Average Query Compressionratio was 13x

    On top of Oracles alreadyhighly efficient format

    Copyright 2010, Oracle Corporation and/or its affiliates 28

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    Exadata I/O Resource ManagementMixed Workloads and Multi-Database Environment

    Ensure different databases areallocated the correct relative amount ofI/O bandwidth

    Database A: 33% I/O resources Database B: 67% I/O resources

    Ensure different users and tasks withina database are allocated the correct

    relative amount of I/O bandwidth Database A:

    Reporting: 60% of I/O resources

    ETL: 40% of I/O resources

    Database B: Interactive: 30% of I/O resources

    Batch: 70% of I/O resources

    Exadata Cell

    InfiniBand Switch/Network

    Database A Database B

    Exadata Cell Exadata Cell

    Copyright 2010, Oracle Corporation and/or its affiliates 29

    Q lit f S i M t

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    Quality of Service ManagementThe Oracle Approach in Action

    Policy-DrivenArchitecture

    Implement and Control

    Define and Enable

    Evaluate

    and Report

    Analyze and

    Recommend

    Classify and Measure

    QoS Policy SetMaintenance Polic y

    Weekend Policy

    Af ter Hours Pol icy

    Business Hours Policy

    Server Pool Allocations

    Performance Objectives

    Server

    Pools

    Performance

    ClassesBusiness Rankings

    Copyright 2010, Oracle Corporation and/or its affiliates 30

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    Integrated, Task-Based ManagementNew EM Quality of Service Management Tool

    Copyright 2010, Oracle Corporation and/or its affiliates 31

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    DBFS - Scalable Shared File System

    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

    ETL Files in DBFS

    Load into databaseusing External Tables

    ETL

    More File Throughput than High-End NAS Filer

    Copyright 2010, Oracle Corporation and/or its affiliates 32

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    Copyright 2010, Oracle Corporation and/or its affiliates 33

    Exadata Storage Management & Administration

    Enterprise Manager Manage & administer Database and ASM

    Monitor the Exadata Database Machine Hardware

    Plug-ins to monitor the Exadata Storage Cells and othercomponents in the Database Machine

    Auto Service Request (ASR)

    File SRs automatically for common hardware faults Comprehensive CLI

    Local Exadata Storage cell management

    Distributed shell utility to execute CLI across multiple cells Embedded Integrated Lights Out Manager (ILOM)

    Remote management and administration of hardware

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    ASR for Exadata

    Customer Datacenter

    Customer

    Oracle FieldEngineer

    FRU replaced byField Engineer

    Fault occurs

    Oracle Support Services

    OracleSupportEngineer

    FRUdispatched by

    SupportEngineer

    ServiceRequestrouted toSupport

    Engineer

    Oracle CaseManagement

    System

    Service Request(SR) created

    ASR Service

    Product's auto-diagnosisfacility sends

    SNMP trap to ASRManager

    SR creationemail noti fication

    to customer

    Fault telemetrysecurely

    transmitted toOracle

    ASRManager

    Copyright 2010, Oracle Corporation and/or its affiliates 34

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    First Secure Database Machine

    Moves decryption from software

    to hardware Over 5x faster

    Near zero overhead for fullyencrypted database

    Queries decrypt data at hundredsof Gigabytes/second

    Copyright 2010, Oracle Corporation and/or its affiliates 35

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    Best Machine for Database Consolidation

    Exadata serves as farm/cloud for

    databases Large memory enables many

    databases to be consolidated

    Extreme performance for complexworkloads that mix OLTP, DW, batch,reporting

    I/O and CPU resource managementisolates workloads

    ERP

    CRM

    Warehouse

    Data Mart

    HR

    Copyright 2010, Oracle Corporation and/or its affiliates 36

    75 GB/sec!

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    Fastest Disk Throughput

    Much Faster with Flash

    50 TB of data fits in Flash Using 10x Query Compression

    Effective Query Throughput on

    compressed data is even higher Hundreds of GB/sec

    2010 Oracle Corporation

    10

    20

    25

    TeradataNetezzaTwinFin 12

    Exadata

    Query ThroughputGB/sec Uncompressed Data

    Single Rack

    Flash

    Disk

    Faster than DW Appliances75 GB/sec!

    F

    lash

    2650 4600

    < 38

    DiskDisk

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    2.5

    9

    < 6

    11???

    25

    IBM

    XIV

    NetApp

    6080

    IBM

    DS8700

    Hitachi

    USP V

    EMC

    VMAX

    Exadata

    V2

    Exadata is fastest

    and scales with more racks

    Storage Arrays already cantdeliver disk bandwidth

    No extra bandwidth from Flash

    No CPU offload

    No Columnar Compression

    No InfiniBand

    Storage Data Bandwidth(Uncompressed GB/sec)

    Flash

    Faster than High End Arrays

    Dis

    k

    Exadata

    V2

    75 GB/sec!

    1 RackMultiple Racks

    Copyright 2010, Oracle Corporation and/or its affiliates 38

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    More Data Capacity

    2010 Oracle Corporation 39

    Exadata10x Compression

    Teradata 26501.4x Compression

    (block compression is archival)

    Netezza TwinFin2x to 4x Compression

    EMC VMAX3x Oracle Compression

    Equivalent Capacity Systems

    All with Largest Disks,Best Compression

    4X

    3X

    7X

    41X for 4600flash appliance

    Exadata is Faster and 6X Lower Cost than

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    Exadata is Faster and 6X Lower Cost than

    IBMs Best - Power 795

    IBM P795 + 4 DS8700s with Flash

    $18,860,000

    2 Exadata X2-8

    $3,000,000

    Comparison of Hardware Prices

    More CPU Cores

    More I/O Performance

    Same Storage Capacity Excluding Exadata compression!

    HA Configuration

    Copyright 2010, Oracle Corporation and/or its affiliates 40

    E d t D t b M hi

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    Exadata Database MachineIdeal Database Platform

    Best for Data Warehousing

    Best for OLTP Best for Database Consolidation

    Hybrid ColumnarCompression

    IntelligentStorage Grid

    Fastest, Lowest Cost

    Smart FlashCache

    Business answers in seconds, not hours

    Hardware

    Decryption

    Copyright 2010, Oracle Corporation and/or its affiliates 41

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    Copyright 2010, Oracle Corporation and/or its affiliates 42

    Resources

    Oracle.com:http://www.oracle.com/exadata

    Oracle Exadata Technology Portal on OTN:http://www.oracle.com/technology/products/bi/db/exadata

    Oracle Exadata white papers:http://www.oracle.com/technetwork/middleware/bi-foundation/exadata-smart-flash-cache-twp-v5-1-128560.pdf

    http://www.oracle.com/technetwork/database/features/availability/xmigration-11-133466.pdf

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