jerry kara solutions architect dallas technology group [email protected]

Enterprise Applications

Product Family– Contracts, Corporate Performance Management, Customer

Relationship Management, Financials, Human Resources, Interaction Center, Intelligence, Maintenance Management, manufacturing, Marketing, Order Management, Procurement, Product Lifecycle Management, projects, Sales, Service, Supply Chain Planning, Supply Chain Management

Oracle Ebusiness Suiteonline document available

http://www.oracle.com/applications/ebs_brochure.pdf

Infrastructure Software

A Brief look at Oracle’s Database History

Oracle 7– Oracle Parallel Server

Oracle 8i– Transition to Real Application Clusters begins

Oracle 9i– Integrated Data Warehousing – Real Application Clusters

Oracle 10g– New grid capable features

Federated Database

A logical unification of distinct databases

Independent servers No shared resources

(including disk) Connected by LAN

Shared Disk Architecture

Equal access to all disks

No notion of data ownership on any node

Managed by Oracle’s Real Application Clusters (RAC)

Shared Disk Architecture: Scalable

Nodes can be dynamically added and removed from the grid

Adding and removing nodes does not require data to be redistributed

Multi-version read consistency model Based upon Real Application Clusters

Multi-Version Read Consistency

Writers never block readers and readers never block writers

Data is tracked by a System Change Number (SCN) Always provides consistent and accurate results Non-escalating row-level locking

– Locks are contained at the row level

Example: System Change Number

Shared Disk Architecture: Availability

The loss of a cluster node does not cause a loss of data

The loss of a cluster node does not cause another node to “take over” data

Processes can be redistributed to other nodes

Traditional Shared-Disk Clustered Databases

Maintaining data coherency is a hard problem

– Need to synchronize updates to shared data– The disk is the only medium for data sharing

Disk I/O latencies appear in the critical path when multiple nodes access shared data

Disk-based coherency is the main bottleneck to achieving a scalable shared disk cluster

– Only synthetic fully partitioned workloads scale!

Oracle Real Application Clusters (RAC)

An application transparent clustered database

– single node applications run and scale with no changes

Cluster interconnect fabric replaces the disk as the medium for inter-node data sharing

Cache Fusion protocol for data sharing results in a scalable cluster for OLTP and DSS workloads

Oracle RACArchitecture

ClusteredDatabase Instances

Mirrored Disk Subsystem

High Speed Switch or Interconnect

Hub or Switch Fabric

Application Servers/ Network

Centralized Management Console

Storage Area Network

Low Latency Interconnect

Drive and Exploit Industry Advances in Clustering

Users

No SinglePoint Of Failure

Shared Cache

What is Cache Fusion?

The underlying technology that enables RAC

Protocol that allows instances to combine their data caches into a shared global cache

– Global Cache Service (GCS) coordinates sharing

Key features are– Direct sharing of volatile buffer caches– Efficient inter-node messaging framework– Fast recovery from node failures using

cache and CPU resources from all surviving nodes

Read Sharing for Queries– query needs to read a data block that is

currently in another instance’s buffer cache.

Write Sharing for Updates– update needs to modify a data block that is

currently in another instance’s buffer cache.

With Cache Fusion, a disk read is performed only if the block is not already in the global shared cache

Data Sharing Problem

Cache Fusion Read Sharing

Uses Oracle’s Consistent Read (CR) scheme

– undo is applied to make a block transactionally consistent to a System Change Number (SCN).

– a CR copy is shipped to the requesting instance

Instance A Instance B

225 Data BlockData BlockQuerySCN 200

1

CR CopyCR Copy200

2

3

Cache Fusion Write Sharing

Multiple dirty copies of a data block can exist in the global cache, but only one is current

The current copy can move between instances without first being written to disk

– Changes are logged if not already on disk

Non-current dirty copies can directly service queries from any node and instance recovery

Cache Fusion Write Sharing

Instance C

1 2

Instance A Instance B

GCS

Current225

UpdateBlock 10

Requester Holder

200200

Copy225

Copy225

3

4

Master

Efficient Inter-Node Messaging

Messaging cost independent of cluster size– At most 3 nodes involved in a request

requester, holder and master (directory) number of messages to service a request is

bounded

Inter-Node Message Latency– exploits high performance interconnect substrates

so that on-the-wire message transmission times are minimal

Frequency of Inter-Node Synchronization– adaptive directory migration based on access

patterns– fast reconfiguration of resources when a node

joins/leaves

Oracle Grid Computing Goals

Half the Cost Highest Quality of Service Easiest to Manage

StorageGrid

DatabaseGrid

ApplicationGrid

GridControl

Problem with Today’s IT Infrastructure

Islands of Computing Resource

– Some are melting down

– Some are almost idle High Costs

– Hardware– Labor– Software

Hard to Align with Business Priorities

ERP

DW

CRM

Solution: Computing On Demand

Partitioning of one large server Built with high quality,

high cost parts Complete, integrated software High quality of service at

high cost

Coordinated use of many small servers

Built with low cost, standard, modular parts

Open, Complete, integrated software

High quality of service at low cost

Mainframe Model Grid Computing Model

Early Grid Computing

Desktop Grids – SETI@home

Scientific Research Grids– Globus Toolkit, CERN

1111

What about Grids for the Enterprise?

Requirements for Enterprise Grids

Run all your applications Stores all your information Highly scalable, available, reliable Secure Easy to manage

– Make individual systems self-managing– Manage thousands of servers at once

Introducing Oracle 10G

10G10G

Runs all your applications Stores all your information Highly scalable, available,

reliable Secure Easy to manage

– Make individual systems self-managing

– Manage thousands of servers at once

Oracle Database 10G – The First Database

Designed for the Grid

Orders of MAGNITUDE…

~354 NEW 10g features * @5 slides / feature * @2 minutes /slide = 4.5 DAYs [ 9 hour/day ]

Oracle Database 10G – Database for the Grid

Storage for All Your Data Real Application Clusters High Availability Ease of Management Data Provisioning across Grid Business Intelligence on the Grid Application Development on the Grid

Oracle Database 10G – Align Storage with the Business

Problem: Islands of storage

– “My storage is 50% utilized and growing 30% a year”

ERP

DW

CRM

Oracle Database 10G – Align Storage with the Business

Problem: Islands of storage– “My storage is 50% utilized

and growing 30% a year”

Solution: Groups of standard, modular disks

– Consolidated,Networked Storage

– Dynamically Provision

Oracle Grid Storage ManagementHighly Available and Low Cost

Oracle Automatic Storage Management

– Manages disk storage groups– Mirrors, Stripes, Re-balances– Huge reduction in labor cost

Built-In Data Protection at Lowest Cost

– Disk Based Backup and Recovery

– Flashback in Time– Site Recovery

Automatic StorageManagement

Disk BasedBackup &Recovery

Automatic Storage Management – Dynamically Provision and Tune Storage

Portable, high performance file system

Eliminates need for conventional file system and volume manager

Automatic mirroring Automatic I/O tuning

– Stripes data across disks to balance load

ASM

The Operational Stack

Disks

Logical Vols

File System

0010 0010 0010 0010 00100010 0010 0010 0010 0010Files

Tablespace

Tables

Disk Group

Logical Vols

File System

Files

Tablespace

Tables

TODAY ASM

“The best way to lower mgmt costs is to remove complexity”

ASM Disk Groups

Disk Group

A pool of disks managed as a logical unit

Partitions total disk space into uniform sized megabyte units

ASM spreads each file evenly across all disks in a disk group

Coarse or fine grain striping based on file type

Disk groups integrated with Oracle Managed Files

ASM Disk Groups

Fast Disk Group

• Administer disk groups not files• Number of disk groups remains

constant while number of files and disks continually increases

Slow Disk Group

Mirroring with ASMFailure Groups

Disk Group 1

Storage resources organized into Disk Groups and Failure Groups

A Disk Group is a collection of disks managed as a logical unit in which ASM files are stored

Disk Groups assigned by DBAs A Failure Group is a set of disks

sharing a common resource whose failure needs to be tolerated

– Redundant copies of an extent are stored in separate Failure Groups

Failure Groups assigned by DBAs or automatically by ASM

Failure Group 1 Failure Group 2

Controller 1 Controller 2

Automatic Storage Management – Lowest Labor Cost

0

1

2

3

4

5

6

7

8

Nb

r S

tep

s

Install Add Storage RemoveStorage

MigrateStorage

Tune I/O ManageSpace

ASM

Traditional

7 76

8

6 6

5

2 2

4

0 0

ASM Delivers Great Performance with no Manual Tuning

0

4000

8000

12000

16000

20000

24000

Tp

mC

ASM (24 Disks) VxVM (24 Disks, 12 s)

22,648

20,590

Automatic Storage Management -Mission Critical, Low Cost Storage for Enterprise Grids

Mission-critical– Integrated mirroring– Add/drop disk online– Best I/O performance

Easy– Automatic I/O Tuning– Up to 50% less DBA/Sys Admin work

Low Cost– Works well with inexpensive disks – Better storage utilization

41

Oracle DB 10G Stores All Your Data

Complete Integrated

Oracle interMediaOracle interMediaMultimedia managementMultimedia management

Oracle LocatorOracle LocatorLocation and Proximity SearchingLocation and Proximity Searching

XML DBXML DBIntegrated Native XML DatabaseIntegrated Native XML Database

Oracle TextOracle TextText management and searchText management and search

RelationalRelationalCharacters, Numbers and DatesCharacters, Numbers and Dates

OCS FilesOCS FilesLow-cost and EasyLow-cost and Easy

Oracle DB 10G ULDB - Stores ALL Your Data

Database size limit raised to millions of Terabytes (8 Exabytes)

Ultra Large Data Files – Terabytes in single file

Unlimited size LOB columns – Terabytes Automatic Storage Management removes

file system limits

Align Processing with the Business

Problem: Islands of computation

– “My servers are 15% utilized“

ERP

DW

CRM

Align Processing with the Business

Problem: Islands of computation

– “My servers are 15% utilized“

Solution: Groups of industry standard servers

– Lowest cost, highest performance

– Capacity on demand– Not Self-healing,

Disposable

Oracle Database 10G RACCapacity on Demand for the Grid

Only Cluster Database that runs Real Applications and Scales

Highly Available Runs on standard,

low cost servers Proven

– Hundreds of customers

– Certified with leading apps

ERP CRM DW

Automatic Workload Management

Normal Server Allocation

Order Entry Supply ChainSpare

Automatic Workload Management

End of Quarter

Order Entry Supply Chain

Oracle Database 10G RAC -Complete, Integrated Clusterware

Complete Oracle cluster software solution

Single-vendor support Low Cost

– No need to purchase additional software

– Easy to install, manage High quality and functionality

across all platforms Common event and

management API’s Support for third-party

clusterware

ConnectivityMessaging and Locking

Cluster Control/RecoveryServices Framework

Benefits of Integrated Clusterware

Lower software cost Easy

– Deploys in hours not days– Single integrated target for cluster

management provides improved single system image

Less Risk – Same high functionality and quality across

platforms– Single vendor support

Automatic Server Provisioning

Push-button add/drop server to cluster Hands-free allocation and re-allocation of

servers to services – Automatic routing of service requests to

appropriate server with lowest load– On server failure, automatic re-allocation of

surviving servers to services

Works across all platforms

Oracle RAC 10G - Only Solution for Enterprise Grids

Mission Critical Quality of Service on Industry Standard, Low Cost Servers

Complete, Integrated Oracle Clusterware Runs all Applications Provides Capacity on Demand RAC Made Easy for Everyone Automatic Server Provisioning

Low Cost Fault Tolerance

Computer Computer FailuresFailures

Data Data FailuresFailures

System System ChangesChanges

Data Data ChangesChanges

UnplannedUnplannedDowntimeDowntime

PlannedPlannedDowntimeDowntime

Low Cost Fault Tolerance

Oracle10G RAC Integrated

clusterware– Integrated, less

moving parts, better tested

Faster failover between servers

– Single digit seconds







56

New Economics forData Protection & Recovery

Disk-Based RecoveryDisk-Based Recovery







Trade cheap disk spacefor expensive downtime

Flashback Log

Flashback Database

New strategy for point-in-time recovery

Flashback Log captures old versions of changed blocks

– Think of it as a continuous backup

– Replay log to restore DB to time– Restores just changed blocks

It’s fast - recovers in minutes, not hours

It’s easy - single command restore

– SQL> Flashback Database to ‘2:05 PM’

Like a “Rewind” button for the Database

Old Block

VersionDisk Write

New Block

Version

Flash Backup

Fully automatic disk-based backup and recovery

– Set and Forget Nightly incremental

backup rolls forward recovery area backup

– Changed blocks are tracked in production DB

– Dramatically faster (20x)

Use low cost ATA disk array for recovery area

Database Area Recovery Area Tape

Nightly Applyof

IncrementalBackup

WeeklyArchive to

Tape

Oracle Database 10G Highest Data Protection for Lowest Cost

Storage FailureProtection

ASM Mirroring Human Error Protection

Flashback Logs

Flashback

Corruption Protection

On DiskBackups

Flash Backup Site FailureProtection

RedoShipping

Data Guard

60

Allow any change to the system with no downtime

Online ReconfigurationOnline Reconfiguration

Goal

No Cost System Changes

Rolling UpgradesRolling Upgrades







Oracle10G High Availability Features

Backup and Recovery– Automated Disk-

Based Backup and Recovery

– Drop Database– RMAN Database

Deregistration– Backup of Standby

Control File– Automated TSPITR

Instantiation– Simplified Recovery

Manager Cataloging of Backup Files

– Automated Channel Failover for Backup and Restore

– Automated File Creation During Recovery

– Simplified Backups to Disk

– Proxy Copy Backup of Archivelogs

Backup and Recovery (Cont)

– Incrementally Updated Backups

– Simplified Recovery Through Resetlogs

– Restore Tolerates Corrupt or Missing Backups

– Full Database Begin Backup Command

– Change-Aware Incremental Backups

Data Guard– Data Guard Broker

Support for RAC– Automated LogMiner

Configuration– Log Miner Support for

Index-Organized Tables

– Secured Redo Transmission

Data Guard (Cont)– Fine-Grained

Supplemental Logging

– Named Data Guard Configurations

– Simplified Zero Data Loss for Data Guard SQL Apply

– Zero Downtime Instantiation for SQL Apply

– Real Time Apply– Redo Data and

Archivelog Compression

Flashback– Flashback Database– Flashback

Reinstantiation– Flashback Standby

Database– Flashback Table– Flashback Row

History– Flashback Drop– Flashback

Transaction History Online Operations

– Enhanced Online Redefinition

– Improved Handling of DDL Locks on Busy Tables

– Signature-Based Dependency Tracking Using Synonyms

– Rolling Upgrades with Data Guard SQL Apply

Oracle Database 10G Ease of Management

Self-Managing Database

OEM Grid Control– Grid-wide

operations– Scale from one to

hundreds of systems with little incremental cost

Business Challenge – How to Scale DBA’s to the Grid ?

Software Maintenance 6%

Ongoing System Management 55%

Installation 6%

Others

15%

Creation & Configuration 12 %

Source: IOUG 2001 DBA Survey

DataLoading 6%

Oracle10G System Management – Built-In Intelligent Infrastructure

Automatic Workload Repository

– Automatically collects statistics, SQL workload, Feature usage

Automatic Maintenance Tasks

– Pre-packaged, resource controlled

Server-Generated Alerts– Out-of-the-box, Push vs.

Pull, Just-in-time

Oracle10G System Management – Automatic SGA Management

Only 2 memory parameters

Advisor helpsset parameters

Automatically resizes with changes in workload

Maximize usage of available memory

SGA Pool

PGA Pool

Large Batch Jobs

sort

Java Pool

SQL Cache

Large Pool

Buffer Cache

SQL Cache

sort

Online

Users

Large Pool

Buffer Cache

Java Pool

Oracle10G System Management – Self Optimizing SQL Management

Oracle Query Optimizer – Proven Technology– Comprehensive set of access paths, adaptive search

strategy– All cost-based transformations– Preconfigured task to collect object and system statistics – If no statistics available, are collected at parse-time

Automatic memory allocations, automatic degree of parallelism

Automatic identification and capture of high-load SQL– Automatic SQL Tuning– Automatic SQL Analysis – SQL Access Advisor

Oracle10G System Management – Self Optimizing SQL Management

Automated capture and identification of high-load SQL

Automatic SQL Tuning

Automatic SQL Analysis

SQL Access Advisor

Well-tuned SQL

Custom Applications

SQL Advice

PackagedApplications

SQLProfile

High-load SQLPackaged

Applications

Optimizer

Auto SQL Tuning

Auto SQL Analysis

Access Advisor

CustomApplications

CustomApplications

Indexes &MVs

Oracle10G System Management – Automatic Database Diagnostic Monitor

Performance expert in a box

Automatically provides database-wide performance diagnosis, including RAC

Pinpoints root cause and non-problem areas

Runs proactively

Central management for the complete platform

Dramatically lower operations costs

Application service level management

Manage one or many systems with little incremental cost

Enterprise Manager 10G Grid ControlManagement that Scales to the Grid

Scalable Software Maintenance – Discover and Analyze Configurations

Complete inventory of all Oracle software– Versions– Patch levels

Oracle product configuration details Search and compare configurations Change tracking Reference configurations

Scalable Software Maintenance - Automated Software Cloning

Reduce manual labor in software life-cycle– From hours to minutes

Automate mass provisioning of reference systems

Update

Inventory

Clone to

Selected Targets

2

3

Select Software (and Instances) to Clone

1

Scalable Software Maintenance - Automated Patch Management

Real-time discovery of new patches – Security patch rapid deployment dramatically reduces

vulnerabilities Automatic staging and application

– From hours to minutes Rolling RAC upgrade

Update

Inventory

Determine

Applicability2

Apply Patch3

4Patch Published1

Oracle10G Manageability Features

Infrastructure– Easy OracleJVM

Monitoring– SYSAUX Tablespace– Enhanced Wait Model– Database Features Usage

Tracking– Enhanced Database Time

Model– Top Consumers

Performance Monitoring & Diagnostic

– JDBC: End-to-end Java/J2EE Tracing

– SQLJ: End-to-end Java/J2EE Tracing

– Automated Routine Administration Tasks

– Proactive Server-based Alerts and Notifications

– Database Statistics and Workload Respository

– Threshold-Based Alerts

Server Configuration– Automated Storage

Management Configuration

– Automated RAC Services Configuration

– Simplified Upgrade for RAC and OPS Databases

– Automated Enterprise Manager Configuration

– Automated Portable Clusterware Installation

– Automated Configuration of Recovery Area

– Out-of-the-box LDAP Configuration

– Simplified Initialization Parameters

– Easy Upgrade– Upgrade Information Tool– Simplified Database

Install– User Default Tablespace

Instance Tuning– User-Initiated Buffer Cache

Flushing– Database Resource Manager

- Adaptive Consumer Group Mapping

– Database Resource Manager - Fixed CPU Quota

– New Performance Overview Charts in Oracle Enterprise Manager

– Improved SQL Reporting Using Oracle Enterprise Manager

– Integration of Resource Manager and Profiles

– Automated Checkpoint Tuning

– Transaction Rollback & Recovery Monitoring

– Database Performance Analyzer

– Redo Logfile Sizing Advisor– Automated SGA Memory

Tuning

Application Tuning– SQLAccess Advisor– Materialized View Tuning

API– SQL Tuning Advisor– Enhanced SQLAccess

Advisor– Automatic Optimizer

Statistics Collection Backup and Recovery

– Enhanced RMAN Reporting

– Backup Compression– Bounded Backup Window– Manage RMAN Scripts– Recovery Area Full Alert

Storage Management – Multiple Default Temporary

Tablespace Support for SQL Operations

– Automated Storage Management

– Rename Tablespace

Oracle10G Manageability Features(continued)

Network Management – Back Up Directory Naming

Entries to Local Naming File

– Dynamic Connection Manager Configuration

– Easy Connect Naming Method

– Easy OCI/JDBC Install– Improved Network Outage

Detection– Automated LDAP

Discovery for Clients– Improved Connection

Manager Access Rules– Automated Shared Server

Configuration– Simplified Shared Server

Configuration Parameters

Space, Object, Transaction Mgmt

– Automatic Undo Retention Tuning

– Segment Shrink Advisor– Segment Size Estimation– Online Segment Shrink– Proactive Tablespace

Management– Undo Advisor

Database Utilities– SQL*Plus - SPOOL

CREATE, REPLACE, and APPEND Options

– SQL*Plus - Show Recycle Bin

– SQL*Plus - DBMS_OUTPUT After SELECT

– SQL*Plus - SET SQLPROMPT Runtime Variable Substitution

– SQL*Plus -COMPATIBILITY Command Line Option

– SQL*Plus - Run glogin.sql and login.sql After Each CONNECT

– iSQL*Plus Input Prompting

Scheduler– Core Scheduler Features– Usability and

Manageability– Monitoring– Recovery– Support for Jobs in a

Clustered Environment– Job Processing– ILMS Support– Increased Throughput– Redo Minimization– Dynamic Slave Pool

Transportable Tablespaces –Fastest Way to Provision Data

Oracle can unplug and plug database data files

– Move and share data without unload and reload

– Plug/unplug performance independent of tablespace size

– Mount read-only tablespaces on multiple databases

New: Now Works Cross-Platform!

2424

Oracle10G Data Pump

High performance import and export – 60% faster than 9i export (single thread) – 15x-20x faster than 9i import (single thread)

Scales with parallel threads Network transfer data between databases

with no intermediate representation

Oracle Streams Oracle

Oracle Streams moves or copiestablespaces faster than FTP

Same platform or cross platform

Detach, move, attachwith one command

Oracle Streams Oracle

Oracle Streams moves or copiestablespaces faster than FTP

Same platform or cross platform

Detach, move, attachwith one command

Optionally stream delta updates

Migrate to the Grid withthe self-propelled database

Oracle Database 10G– Database for the Grid


Business Intelligence on the Grid

Lower Cost– Leverage 10G hardware, software, labor savings– Manage millions of terabytes

Intelligence when you need it– Real-time data feeds and integrated BI capabilities

More value from your data– Additional integrated BI capabilities

Managing Large Volumes of Data

Partitioning and parallelism are crucial for VLDB Partitioning provides ‘incremental’ operations for:

– WORK SMARTER– Data loading, Indexing, Referential Integrity– Backup and Recovery– Queries

Parallelism for all operations– WORK HARDER– DBA operations: loading, index-creation, table-creation, data-

modification, backup and recovery– End-user operations: Queries– Unbounded scalability: Real Application Clusters

Partitioning - Minimal Unit of Work

Intelligent usage of partitioning information is key success factor for availability

– Partition Pruning– Backup and Recovery– Read-Write versus Read-Only

order table

may99jan99 feb99 mar99 apr99

Partitioning - Rolling Window Partition level management

– Range, Composite (range + hash), List– On-line addition and removal of partitions– Data management operations (loading, index builds)

Improved availability– Localized disk failures, backup and recovery

order table

Drop

may99

Add

jan99 feb99 mar99 apr99

Local Index

Other data is not affected

Table Compression

Table Compression increases:– I/O-subsystem capacity– I/O throughput– query scan performance– buffer cache capacity

Table Compression:– reduces cost of ownership– is easy to use– requires little or no table definition changes– is transparent to applications

Table Compression: What is it?

Tables can be compressed – Compression can also be specified at the partition level– Indexes and index-organized tables are not compressed

Typical compression ratios are 3:1 - 6:1– Compression is dependent upon the actual data– Compression algorithm based on removing data redundancy

All DDL/DML commands are supported on compressed tables

Data is Partitioned into Granules (block range or partition)

Each Scanner is Assigned Multiple Granules

No two scanners ever contend for the same granule

Granules are assigned so that the Load is Balanced Across all Scanners

Dynamic Granules

Scanner #1

Scanner #2

Scanner #3

Oracle Parallel Query - Scanning

. . .

10G Real Time WarehouseAsynchronous CDC

SQL interface to change data Publish/subscribe paradigm Parallel access to log files, leveraging

Oracle Streams Parallel transformation of data

OLTPDB

Archivedlogfiles

Logical Change DataBased on

Streams

DWTables

SQL, PL/SQL,Java

Transform

Oracle10G Business Intelligence Features

Real Time Data Warehousing

– Asynchronous Change Data Capture

– Cross-Platform Transportable Tablespaces

– Enhanced Table Functions– External Tables Unload– Enhanced MERGE

Functionality– Data Pump Export and

Import Utilities– Parallel Data Pump Export

and Import– SQL*Loader Direct Path

Load Support for ROWID Datatype

– SQL*Loader Direct Path Load Support for VARRAY Datatype

– SQL*Loader Direct Path Load Support for XMLType Tables

VLDB– Bigfile Tablespace– Enhanced Partition

Management in Enterprise Manager

– Global Partitioned Indexes - Hash Partitioning

– Partitioned Index-Organized Tables - List Partitioning

– Partitioned Index-Organized Tables - LOB Support

– Partitioned Index-Organized Tables - Global Index Maintenance

– Enhanced Bitmap Index Performance and Space Management

– Local Partitioned Indexes Manageability Improvements

Summary Management– Summary Management

OLAP Query Performance Improvements

– Summary Management - Enhanced Partition-aware Materialized View Refresh

– Summary Management - EXPLAIN PLAN Shows Materialized View Access

– Summary Management - Enhanced Dimensions

– Summary Management - Nested Materialized View Refresh

– Summary Management - Enhanced PCT Refresh

– Summary Management - Query Rewrite Uses Multiple Materialized

OLAP – Parallel AGGREGATE

Command– Parallel SQL IMPORT

Command– PL/SQL Creation of

Analytic Workspaces– Intra-Dimensional

(Attribute) Aggregation– Enhanced Composite

Dimensions Indexing– PL/SQL OLAP Measure

Calculation Definition– Complete Analytical

Workspace Management– Multi-Writer Support– XML Interface for Analytic

Workspace

Oracle10G Business Intelligence Features (Continued)

Data Mining – Frequent Itemsets– Attribute Importance

Algorithms– Enhanced Adaptive Bayes

Network– JSR-73 RI & TCK - Java

Data Mining– Multi-User Access Control– Complete Oracle Data

Mining Management– Enhanced Model Seeker– PMML Producers /

Consumers– Enhanced Data

Preprocessing– Data Mining Rapid

Application Development

Bio-informatics– DOUBLE and FLOAT

Datatypes– BLAST Queries– Statistical Functions– Document Clustering– Document Clustering Non-

negative Matrix Factorization

– Document Clustering Neural Nets

– Document Named Entity Extraction

– Support Vector Machines– Taxonomy Builder

SQL Analytics– Grouped Table Outer Join– Increased Number of

Aggregates per Query– SQL Interrow Calculations– Upsert Through SQL

Interrow Calculations

Application Development on the Grid

HTML DB– Low Cost, Hosted,

Web Based Development Environment

Improved PL/SQL Performance

Database Web Services

HTML DB and the Grid - Business Problem

Departmental and LOB data sharing and information tracking

Lots and lots of desktop databases

Fragmented Inaccurate Untimely Vulnerable

HTML DB – Perfect for the Grid

Productivity of a Desktop Database

Infrastructure of an Enterprise Database

Built for the Web Leverages the Grid

Oracle Database 10G

Half the Cost– Low cost hardware with high utilization– Integrated software stack– Self-managing

Highest Quality of Service– Highest Performance, Scalability,

Availability, Reliability, Security

Easy to Align with Business Priorities

Oracle Database 10g Performance Metrics

PLSQL up to 2x Table Scans up to 2x SQL Profile Tuning

huge Floating point math up

to 10x Bulk LOB Update up to

3x Import up to 15x Export up to 35%

Incremental backup up 10x Parallel media recovery

2-4x Backup compression 17x Infiniband interconnect

½ latency, 2x block transfer

TPC-C – Best absolute and best on 4-

way Intel– +28% on same hardware

AQ&Q U E S T I O N SQ U E S T I O N SA N S W E R SA N S W E R S

jerry kara solutions architect dallas technology group [email protected]

Documents

loss of data

data coherency

data caches

writers data

lan slide

scalable shared disk

data processes

data sharing results