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Business and Technology Status 2007

Global economy is more dependent on ITthan ever before

Information management is THEmajor mission of the

enterprise

Organizations are being pushed toADAPTquickly to change

Economic, Technologic, Regulatory

At least two-thirds of all IT spending is just to sustain the business,

not to change or transform the business.

- Gartner Group

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Growing Data Volumes

Source: 2005 TopTen Program, November 2005 Winter Corporation, Waltham, MA, USA

0

20

40

60

80

100

1998 1999 2000 2001 2002 2003 2004 2005

Database

Size(TB)

Size of the largest

data warehouse in

Winter Corp Survey245% increase

from 2003

to 2005!

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Uptake (TAR Analysis)

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Mar.01

Haz.01

Eyl.01

Ara.01

Mar.02

Haz.02

Eyl.02

Ara.02

Mar.03

Haz.03

Eyl.03

Ara.03

Mar.04

Haz.04

Eyl.04

Ara.04

Mar.05

Haz.05

Eyl.05

Ara.05

Mar.06

Haz.06

Eyl.06

Ara.06

Mar.07

Oracle Database 10g Oracle9i Oracle8i Oracle8 and Earlier

Source: TAR Analysis (April 2007)

59%

36%

5%

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Infrastructure Complexity

Understanding the Costs

Number of things costs = N

Number of connected things = (2N)

Number of KINDS of things = N^N

Complexity Slows Change

More failure points

Uneven levels of process Maturity

Functionality+Virtualization=Agility

Functionality enables agility

Virtualization masks functional complexity

Oracle Grid is Enabling Enterprise Agility by AttackingOracle Grid is Enabling Enterprise Agility by AttackingComplexityComplexity

1 2 3 4 5 6 7 8

# of Things

# of Connections

# of Kinds

0

10

20

30

40

50

60

70

90

80

0

10

20

30

40

50

60

70

90

80

Complexity Cost CurveComplexity Cost Curve

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The 11g Big Message

11g Lowers overall costs while increasing business

and IT agility!

Simplifies your information infrastructure!

Enables change to happen while maintaining stability!

Takes management and diagnostic automation to the next

level! Freeing key personal for higher value tasks!

Provides the least expensive, most scalable, secure and

highly available rapid application development environment!

Traditional Performance Dimensions of Scalability andTraditional Performance Dimensions of Scalability andAvailability Are Now Table Stakes. Agility is the X-FactorAvailability Are Now Table Stakes. Agility is the X-Factor

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Defining Value Innovation Lowers the cost while increasing Agility

Simpler (automates/obfuscates complex tasks) Cheaper (lower TCO via improved sustainability)

More Convenient to Use

Most likely already own it

Solid skills base foundation

Single vendor to manage

Simplifies infrastructure landscape

Fundamentally changes how a task or process has been done in

the past

Value innovation fundamentally changes how oneValue innovation fundamentally changes how oneevaluates a product categoryevaluates a product category

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Oracle Database Innovation

Audit VaultDatabase Vault

Grid Computing

Self Managing Database

XML Database

Oracle Data Guard

Real Application Clusters

Flashback QueryVirtual Private Database

Built in Java VMPartitioning Support

Built in Messaging

Object Relational Support

Multimedia Support

Data Warehousing OptimizationsParallel Operations

Distributed SQL & Transaction Support

Cluster and MPP Support

Multi-version Read Consistency

Client/Server Support

Platform Portability

Commercial SQL Implementation

1977 2007

30 years ofsustainedinnovation

continuing withOracle Database 11g

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Bucking Conventional Wisdom

By The Book Oracle

Platform dependent Portable C code base

Read & write locks Multi-version concurrency

Combined undo/redo log Undo stored in the database

Static SQL compilation Just-in-time SQL compilation

Shared nothing clusters Shared disk/shared cacheclusters

Parallelism tied to partitions Parallelism orthogonal topartitions

Store some of your data Store all your data

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Database 1.0 Database 2.0

Users In-house Everyone

Applications Vertical Silos Horizontal Services

Data Chars, Numbers, Dates All Your Data

Hardware SMP/Mainframe Network/Virtualized

Storage Expensive, Siloed Inexpensive, Shared

Scalability High Cost Scale Up Low Cost Scale Out

WorkloadConsolidation

Specialized-SeparateDW-OLTP Slow TTV

Converging Workloads, FastTTV

HA Difficult, Expensive Easy, Low Cost

Management Monitor and Manage Alert and Automate

Pricing CPU or User Socket or Site

Where Weve Been, Where Were Going

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Top 11g new features

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Physical Standby with Real-Time Query

Physical Standby

Database

Primary

Database

Real-time

Queries

Continuous Redo

Shipment and Apply

Concurrent

Real-Time

Query

Read-only queries on physical standby concurrent with redo apply Supports RAC on primary / standby

Queries see transactionally consistent results

Immediate appeal to the many users of physical standby

DR with real time query is unique in the industry no idle resources

Handles all data types, but not as flexible as logical standby

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Set up Test Environments using

Snapshot Standbys

Convert Physical Standby to SnapshotStandby and open for writes by testingapplications

ALTER DATABASE CONVERT TOSNAPSHOT STANDBY;

Discard testing writes and catch-up toprimary by applying logs

ALTER DATABASE CONVERT TOPHYSICAL STANDBY;

Preserves zero data loss But no real time query or fast

failover

Similar to storage snapshots, but: Provides DR at the same time

Single copy of storage

Physical StandbyApply Logs

Snapshot StandbyPerform Testing

OpenDatabase

Back outChanges

Continuous Redo Shipping

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Database Replay

Capture Workload in Production

Capture production workload with actual load & concurrency

Move the captured workload to test system

Replay Workload in Test

Make the desired changes in test system Replay workload with production load & concurrency

Analyze & Report

Errors

Data divergence

Performance divergence

Use ADDM, AWR for further performance analysis

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Pre-Change Production System

ClientClient

App ServerApp ServerApp Server

Client

Backup

CapturedWorkloadProcess Process Process

Capture Workload

ChangesUnsupporte

d

ChangesSupported

Database Upgrades, Patches

Schema, Parameters

RAC nodes, Interconnect

OS Platforms, OS Upgrades

CPU, Memory

Storage

Etc.

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Post-Change Test System

ReplayDriver

App ServerApp ServerApp Server

Process Process Process Process Process Process

Can use Snapshot Standby astest system

ReplayDriver

ClientClient

Client

Pre-Change Production System

ProcessedCapturedWorkload

Backup

Capture Workload

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SQL Performance Analyzer

Focus on impact of change on SQL query workload

Capture SQL in Production Automatically capture SQL workload over a specified period

Capture SQL text, plans, bind variables, execution statistics

Can capture 10.2 SQL workload

Move captured SQL workload to test system

Replay SQL in Test Replay SQL in pre and post-change configurations

Compare and analyze performance

For regressed SQL, use SQL Tuning Advisor (10g) to improveperformance with SQL Profiles

Changes supported Major & minor database releases, patches, parameters, schema,

optimizer statistics, tuning recommendations

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SQL Performance Analyzer

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SQL Plan Managementcontrolled plan evolution

Business Requirement Data is changing over time

Statistics and execution plans become suboptimal

Statistics have to be updated

Possibly unpredictable changes of execution plans

Today you have freeze critical plans or statistics

Solution

Optimizer automatically manages SQL Plan Baselines

Only known and verified plans are used

Plan changes are automatically verified in maintenance window Only comparable or better plans are used going forward

Can pre-seed critical SQL with baselines from SQL Replay

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Flashback Data Archive

Automatically stores all

changes to selected tables

Archive cannot be modified

View table as of any time

Uses:

Change Tracking

ILM

Long term history - years

Auditing Compliance

ORDERS

User

Tablespaces

Flashback

Data Archive

Archive

Tables

Oracle Database

Changes

Select * from ordersAS OF

Midnight 31-Dec-2004

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EM Support Workbench Overview

Wizard that guides you through the process of handling problems

You can perform the following tasks with the Support

Workbench:

View details on problems and incidents

Run health checks Generate additional diagnostic data

Run advisors to help resolve problems

Create and track service requests through MetaLink

Generate incident packages Close problems once resolved

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Support Workbench

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Incident Packaging Service

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Manageability Evolution

Storage

Backup

Memory

Apps/SQL

Schema

RAC

Recovery

Replication

Auto-TuningTuning

Advisory

InstrumentationLowImpact

Integrated

Adaptive

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Manageability in 11g?

More database administration automation

More intelligent advisors to simplify administration

Fault diagnostic automation

Enhancements to existing features

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0%

25%

50%

75%

100%

T ime Steps

9i

10 g

11 g

Manageability Comparison ofOracle Database 9i, 10g, and11g

SummarySummary Oracle 9i vs. 10g 44% less time

47% fewer steps

Oracle 9i vs. 10g 44% less time

47% fewer steps

Oracle 10g vs. 11g 26% less time

31% fewer steps

Oracle 10g vs. 11g 26% less time

31% fewer steps

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DB Management Pack Enhancements

Diagnostic Pack

ADDM for RAC

AWR Baselines

Transportable AWR

Tuning Pack

Automatic SQL Tuning Advisor

Partition Advisor SQL Monitoring

SPM Automatic Plan Evolution

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Table Compression

Introduced in Oracle9i Release 2

Supports compression during bulk load operations (Direct Load, CTAS)

Data modified using conventional DML not compressed

Optimized compression algorithm for relational data

Improved performance for queries accessing large amounts of data

Fewer IOs Buffer Cache efficiency

Data is compressed at the database block level

Each block contains own compression metadata improves IO efficiency

Local symbol table dynamically adapts to data changes

Compression can be specified at either the table or partition levels Completely transparent to applications

Noticeable impact on write performance

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OLTP Table Compression

Oracle Database 11g extends compression for OLTPdata

Support for conventional DML Operations

(INSERT, UPDATE, DELETE)

New algorithm significantly reduces write overhead Batched compression ensures no impact for most OLTPtransactions

No impact on reads

Reads may actually see improved performance due to fewer

IOs and enhanced memory efficiency

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SecureFiles - Compression

Huge storage savings

Industry standard compression algorithms 2-3x compression for typical files (doc, pdf, xml)

Minimal CPU overhead during compression

Automatically detects if SecureFile data is compressible Skips compression for already compressed data

Auto-turn off compression when space savings are minimal or zero

Two levels of compression provide different compression ratios Compression Levels:MEDIUM (default), HIGH

Higher the degree of compression, higher the latency and CPU overheadincurred

SecureFiles Compression is independent of table or index

compression Server-side compression Allows for random reads and writes to SecureFile data

Can be specified at a partition level

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Data Pump Compression

Metadata compression available since Oracle Database 10g

Oracle Database 11g extends compression to table data during

exports

no need to decompress before import

Single step compression of both data and metadata

compressed data directly hits disk resulting in reduced disk spacerequirements

75% reduction in dump file size on export of sample OE and SH

schemas

Compression factor comparable to GNU gzip utility

Application transparent complete Data Pump functionality available on compressed files

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Backup data and Network transport

Compression

Fast RMAN Compression

compresses the backup set contents before writing them to disk or

tape

no extra decompression steps are required during recovery when

you use RMAN compression.

high performance, industry standard compression algorithm

40% faster backup compression versus Oracle Database 10g

suitable for fast, incremental daily backups

reduces network usage

Data Guard Network Compression compression of redo traffic over the network

improves redo transport performance

gap resolution is up to 2x faster

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Oracle SecureFilesHigh-Performance Large Objects

High-performance transactional

access to large object data

documents, medical, CAD, imaging

low-latency, high throughput, concurrent access

space-optimized storage

Protect your valuable data .. in the db!

transactions

transparent encryption

compression and de-duplication

database-quality security, reliability, and scalability

Better security, single view and management of data

Superset of LOB interfaces easy migration

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0

2 0

4 0

6 0

8 0

1 0 0

1 2 0

0 ,1 1 1 0 1 0 0

LOBs

Linux Files

SecureFiles

Innovative technology for high

performance large object data

Smart buffering, write gathering,

intelligent lockingFast bulk data transfers, LOB

prefetch

Much faster than LOBs with

more capabilities

File system-like performance

with database functionality!File Size (MB)

SecureFiles Breaks the

Performance Barrier!

File Read Performance(MB/second)

O l P titi i

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Oracle Partitioning10 years of innovation

Core functionality

Oracle8 Range partitions, global range index

Oracle8i Hash and composite range-hash partitioning

Oracle9i List partitioning

Oracle9i

R2 Composite range-list partitioningOracle 10g Global hash indexes

Oracle 10gR2 1M partitions per table

O l P titi i

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Oracle Partitioning10 years of innovation

Core functionality

Oracle8 Range partitions, global range index

Oracle8i Hash and composite range-hash partitioning

Oracle9i List partitioning

Oracle9i

R2 Composite range-list partitioningOracle 10g Global hash indexes

Oracle 10gR2 1M partitions per table

Partitioning by referenceVirtual column partitioningNew composite partitioning:

range-range, list-range,list-list, list-hash

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New Partitioning

Features New composite partitioning schemes

Partition (or index) on virtual (computed) columns

Partition advisor Automatic range partition creation

Partition by REFERENCE (primary key of parent)

Range List Hash

Range 11g 9i 8i

List 11g 11g 11g