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Oracle Database 11g Overview

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Title: Oracle Database 11g Overview


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Oracle Database 11g Overview
  • Gary Quarles
  • Sales Consultant

3
Oracle Database 11g
  • Major new release of Oracle functionality
  • In Beta since September 2006
  • Production expected in 2007
  • Furthers the adoption of Grid Computing
  • Benefits
  • Unique scale-out technology with single database
    image
  • Lowers server and storage costs
  • Increases availability and scalability
  • Disruptive technology
  • Changes the game for the database industry
  • Changes the way data centers look and operate
  • Currently in rapid adoption phase

4
Sustained Innovation Grid Computing
RACClustersforAvailability
5
Well Proven Scalability
  • RAC 8 node customers
  • Citigroup
  • Burlington Coat Factory
  • J2 Global Communications
  • Genworth Financial
  • Amazon.com
  • MSDS
  • Mercado Libre
  • Yahoo! Overture
  • Babcock Engineering
  • Ordnance Survey
  • Dell
  • Yahoo!
  • SAIC
  • Fairmont Hotels
  • ADESLAS
  • Evite.com
  • Quelle AG
  • Telstra
  • Gas Natural
  • MyTravel
  • Thompson
  • AOL
  • Vivo
  • Sagawa Kyubin

6
Example Amazon Data Warehouse
16 Node RAC Linux Cluster 4 CPUs per Node
  • 51 TB row data
  • 71 TB of disk space
  • RAC and ASM
  • Pure Scale-Out architecture
  • Both server and storage layer
  • In top ten largest Warehouses in Winter Survey
  • 50x growth in data in 6 years
  • More than doubled in last year

8 SAN switches, 32 port each
Switch
Switch
Switch
84 HP MSA-1000 Arrays
7
Benefits Achieved
  • Scalability - Easily Expanded Original 10 Node
    Cluster to 18 Nodes
  • Improved Availability
  • Disaster Tolerance with Dataguard
  • Better Performance - Large Queries 50 Faster
  • Easier, Less Disruptive Storage Changes with ASM
  • Significant Cost Savings, Better IT Productivity

Data Center 2
18-node cluster IBM x-Series Oracle RAC 10gR2
IBM xSeries SUSE Linux
Data Center 1
Standby for SKU 5-8 DBs
Standby for SKU 1-4 DBs
SKU 6 DB
SKU 3 DB
SKU 1 DB
SKU 5 DB
SKU 4 DB
SKU 8 DB
SKU 2 DB
SKU 7 DB
Oracle ASM Two diskgroups, one SAN, one
SATA
Dataguard
8
Mark Beyer, GartnerDecember 2006
Oracle customers are highly satisfied with its
Real Application Clusters and Automatic Storage
Management when pursuing scale-out strategies.
9
Business and Technology Status 2007
  • Global economy is more dependent on IT than ever
    before
  • Information management is THE major mission of
    the enterprise
  • Organizations are being pushed to ADAPT quickly
    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

10
Oracle Database11g Big Message
  • Increases business and IT agility and lowers
    overall costs!
  • Enables change to happen while maintaining
    stability!
  • Takes management and diagnostic automation to the
    next level!
  • Freeing key personal for higher value tasks!
  • Simplifies your information infrastructure!
  • Provides the least expensive, most scalable,
    secure and highly available information
    management and rapid application development
    environment!

11
Make Change Safe
  • Enabling Change While Maintaining Stability

12
Barriers to Change
  • Proactive testing of upgrades is time consuming,
    costly, and often not as effective as needed
  • Upgrades still risk disruption of production
    systems
  • Many upgrades still require significant downtime
  • Still have to endure potentially long period of
    instability as bugs are found and fixed
  • DBAs are asked to do too much to help, e.g.,
    diagnostic patches that require more downtime
  • Software vendors take too long to fix bugs

13
Database Replay
14
The Need for Database Replay
  • Businesses want to adopt new technology that adds
    value
  • Extensive testing and validation is expensive in
    time and cost
  • Despite expensive testing success rate low
  • Many issues go undetected
  • System availability and performance negatively
    impacted
  • Cause of low success rate
  • Current tools provide inadequate testing
  • Simulate synthetic workload instead of replaying
    actual production workload
  • Provide partial workflow coverage

Database Replay makes real-world testing possible
15
Database Replay
  • Replay actual production database workload in
    test environment
  • Identify, analyze and fix potential instabilities
    before making changes to production
  • Capture Workload in Production
  • Capture full production workload with real load,
    timing concurrency characteristics
  • Move the captured workload to test system
  • Replay Workload in Test
  • Make the desired changes in test system
  • Replay workload with full production
    characteristics
  • Honor commit ordering
  • Analyze Report
  • Errors
  • Data divergence
  • Performance divergence

16
Database Replay Supported Changes
Changes Unsupported
Middle Tier
Changes Supported
  • Database Upgrades, Patches
  • Schema, Parameters
  • RAC nodes, Interconnect
  • OS Platforms, OS Upgrades
  • CPU, Memory
  • Storage
  • Etc.

Recording of External Client Requests
Storage
17
Comparison of LoadRunner DB ReplayTesting
e-Business Suite
80
24
20
20
5
4
2
5
0
0
Total Testing Time
  • DB Replay 2 weeks
  • LoadRunner 30 weeks

18
Why DB Replay?
To
From
Production workloads
Artificial workloads
Complete workflows
Partial workflows
Days of development
Months of development
Automated
Manual intensive
Low risk
High risk
19
Database Replay Workflow
Production (10.2.0.4)
Test (11.1)
Clients
Replay Driver
Mid-Tier

Storage
Storage
Replay
Analysis Reporting
Process
Capture
20
Make Change Safe
  • Major online upgrade enhancements
  • Online database upgrades for Data Guard Physical
    Standby
  • Physical Standby is Data Guards high performance
    disaster recovery solution
  • Uses new Transient Logical Standby feature for
    online upgrades
  • Online Database Patching
  • For most one-off patches including diagnostic
    patches

21
Automate Still More Administrative Functions
  • Freeing key personal for higher value tasks!

22
Why Automate?
  • Free key personal for higher value tasks!
  • Increased DBA productivity
  • Reduce risk of DBA errors
  • Dramatically increase the QOS DBAs deliver
  • More proactive management and planning
  • Continual optimized performance
  • Higher availability

23
Long Term Project
  • Goal Automate all administrative functions
  • Over three releases
  • Begun in Oracle9i
  • Major focus in Oracle Database 10g
  • Continued major focus in Oracle Database 11g
  • Three step process
  • Instrumentation lays measurement infrastructure
  • Advisory monitors the administrative function,
    identifies sub-optimal behaviors, alerts DBA to
    problems, and advises on corrective actions
  • Automation gives DBAs the option to turn on
    full automation

24
Self Managing Database
Auto-Tuning
Advisory
Storage Backup Memory Apps/SQL Schema
RAC Recovery Replication
Instrumentation
25
Self Managing Database
Auto-Tuning
Advisory
Storage Backup Memory Apps/SQL Schema
RAC Recovery Replication
Instrumentation
26
ADDM for RAC
  • Automatic Database Diagnostics Managers (ADDM)
    for Real Applications Cluster (RAC)
  • RAC expert in a box
  • Identifies performance problems for the entire
    RAC cluster database
  • Database-wide analysis of
  • Global cache interconnect issues
  • Global resource contention, e.g. IO bandwidth,
    hot blocks
  • Globally high-load SQL
  • Skew in instance response times

Inst 1
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Automatic SQL Tuning
  • Automatically captures high-load SQL
  • Automatically tunes SQL by creating SQL Profiles
  • Automatically implements (optional) greatly
    improved SQL plans
  • Automatically reports analysis
  • Automatically runs during maintenance window

PackagedApps
Custom Apps
Nightly
Automatic SQL Tuning
SQL Profiles
SQL Analysis
Automatic implement
Report
Manually implement
Well-tuned SQL
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Partitioning Advisor
PackagedApps
Custom Apps
  • Considers entire query workload to improve query
    performance
  • Advises on partitioning methods
  • Range (equal-interval), range key and interval
  • Hash, hash key
  • Integrated, non-conflicting advice with Indexes,
    MVs

SQL Workload
SQL Advisor
SQL Plan Tuning
SQLStructure Analysis
Access Analysis
SQLProfile
SQLAdvice
Indexes MVs
Well-tuned SQL Schema
29
Automatic Memory Tuning
  • Automatically adapts to workload changes
  • Maximize memory utilization
  • Single dynamic memory parameter
  • Helps eliminate out-of-memory errors

OS Memory
OS Memory
DB Shared Memory
DB Shared Memory
DB Process Memory
DB Process Memory
30
Simplify Systems
  • Simplify Your Information Infrastructure For
    Maximum Agility and Lowest Cost!

31
Old Pre-Grid Infrastructure
32
The Cost of Same Old Approach
  • Poor Resource Utilization
  • Built for peak periods
  • Gartner estimates average server utilization rate
    at 5-10!
  • Standby hardware and software costs virtually
    double the investment and further reduce useful
    utilization
  • Management happens in silos
  • Uneven process maturity across managed silos
  • Availability, security, performance
  • Increased staff
  • Proliferation of tools that have overlapping
    capabilities
  • Software patching/testing, upgrade tasks are
    multiplied
  • Increases information complexity and lowers
    agility
  • More data movement required (i.e. increased
    latency, increased storage, increased integrity
    issues)

33
Oracle Database 10g Database Grid
Consolidate Workloads to a Single
34
Oracle Database 10g Storage Grid
HR
Financials
DSS
Automatic Storage Management
Low Cost Module Storage
Monolithic Storage
35
Oracle Database 11g Data Guard
  • Fundamentally changes the value of redundant
    infrastructure
  • Can now use Physical Standby for
  • Reporting
  • Read only Physical Standby
  • Online Upgrades
  • Transient Logical Standby
  • Testing
  • Snapshot Stanby
  • Backups
  • Fast incremental backups
  • Major performance enhancements too

36
Oracle Database 11g SecureFiles
  • SecureFiles
  • Eliminates need for file systems
  • Just as fast as file systems with all the
    capabilities of the Oracle Database
  • Store all your data in the database with one
    consistent
  • Security and auditing model
  • Backup recovery mechanism
  • Storage management mechanism (ASM)
  • Transaction and concurrency model
  • Interface and protocol
  • Value added services like encryption,
    compression, and de-duplication

37
Oracle Database 11g Partitioning
  • Major New Partitioning Enhancements
  • One consistent way to manage all your data
  • Not just for data warehouse and high-end OLTP any
    more
  • New referential, virtual column, composite, and
    interval partitioning features bring partitioning
    to mainstream
  • Easier management of todays rapidly growing
    datasets
  • Improved performance
  • Partition elimination speeds table scans
  • Reduced costs
  • Automatically place less used data on lower cost
    storage

38
Oracle Database 11g Partitioning
  • Major New Partitioning Enhancements
  • Partition by parent / child reference
  • e.g., partition orders and order_lines together
  • Virtual column partitioning
  • e.g., partition on virtual order status
    active, less active, etc. derived from
    multiple status fields in order record
  • More composite partitioning options
  • List/Range, Range/Range, List/Hash, List/List
  • e.g., Order Status/Month, Month/Day
  • Automatic interval partitioning
  • e.g., create new partition every month
  • Single partition transportable tablespace

39
Oracle Database 11g Flashback Data Archive
  • Flashback Data Archive
  • Easy, practical way to add time dimension to
    your data
  • For change tracking, ILM, auditing, compliance,
  • Query data AS OF any time in the past
  • Efficient storage / retrieval of undo data
  • Fast query access to very old data
  • Can specified retention policy to automatically
    purge old data

Total Recall
40
Flashback for Rapid Recovery from Human Error
FlashbackData Archiveand Transaction
41
Enhance Performance
  • Major New Performance Innovations

42
Advanced Compression in Oracle Database 11g
43
Storage Challenges
  • Volume of managed data has exploded recently
  • Government regulations (Sarbanes-Oxley, HIPPA,
    etc)
  • User generated content (Web 2.0)
  • Mass adoption of rich multimedia content (audio,
    video, etc)
  • IT managers expected to reduce technology budgets
  • Need to optimize storage consumption
  • Also maintain acceptable application performance

44
Introducing Advanced Compression
  • Advanced compression in Oracle Database 11g
  • Structured data compression
  • Unstructured data compression
  • Compression for backup data
  • Network transport compression
  • Reduces resource requirements and costs
  • Storage System
  • Network Bandwidth
  • Memory Usage

45
Structured Data CompressionFor OLTP and Data
Warehousing Applications
  • Oracle introduced table compression in Oracle9i
    Database
  • Support for bulk load operations
  • Oracle Database 11g extends compression for OLTP
    data
  • Support for conventional DML Operations
  • Support for add/drop columns on compressed tables
  • Significantly reduces disk space consumption
  • Typically 2 to 3x
  • Improves the performance of queries
  • Up to 2x performance improvements for long
    running queries
  • No uncompression required while reading
    compressed data
  • Completely transparent to applications

46
Unstructured Data CompressionOracle SecureFiles
  • New feature in Oracle Database 11g
  • Secure, high performance, storage optimized
    solution
  • Documents, spreadsheets, images, multimedia, etc.
  • SecureFile Compression
  • Automatically determines if SecureFile data is
    compressible
  • 2 to 3x compression for typical files
  • Industry standard compression algorithms
  • Multiple compression levels optimize performance
    space

47
SecureFile De-duplication
  • Multiple copies of identical SecureFiles are
    stored once
  • Faster performance for writes and copy operations
  • May improve read performance
  • Huge reduction in disk space usage
  • Great for document management, email archiving
    etc.

48
Backup Network Data Compression
  • Data Pump compression
  • Compresses data unloaded from the database
  • Single step compression of both data and metadata
  • Fast Recovery Manager (RMAN) compression
  • 40 faster backup compression
  • Data Guard network compression
  • Compression of redo traffic over the network
    during redo gap resolution
  • Improves redo transport performance
  • Gap resolution is up to 2x faster

49
Advanced Compressionin Oracle Database 11g
  • Comprehensive set of data compression
    capabilities
  • Structured, unstructured, backup, network
    transport
  • Reduces storage consumption by 2 3 times
  • Savings cascades into test, dev, QA, backup, DR
    environments
  • Improves application performance
  • Enhances memory and network efficiency
  • Complete application transparency
  • Benefits diverse application workloads
  • Transaction Processing
  • Data Warehousing
  • Content Management

50
Major New Performance Innovations
  • SecureFiles
  • New generation LOBs just as fast as files
  • Table Compression
  • Now for OLTP as well as DW applications
  • Next Generation RAC Cache Fusion
  • Even more scalable
  • Query Results caches
  • Fast caching of query/function results for
    read-mostly data

51
Major New Performance Innovations
  • TimesTen
  • Application tier in-memory database gets even
    more compatible with Oracle, more functional, and
    faster
  • And much more
  • Faster Data Guard and Streams replication
  • Faster PL/SQL and Java (automatic native
    compilation)
  • Faster triggers
  • Faster simple SQL operations
  • Faster NFS storage access (AutoNFS)
  • Faster upgrades
  • Faster backup/restore for large files
  • Faster backup compression

52
Enrich Information Management and Application
Development
  • Across the board improvements in information
    management and application development tools

53
Information Management Highlights
  • Security
  • Transparent tablespace and LOB Encryption
  • Business Intelligence
  • OLAP integration with materialized views
  • Simplified Data Mining
  • Integration
  • Faster Gateways
  • New mainframe Gateways
  • Distributed Scheduler
  • XML DB
  • Binary XML storage
  • Enhanced XML indexing
  • Schema evolution
  • interMedia
  • Comprehensive DICOM medical imagery support
  • 3X faster image processing
  • Spatial
  • 3D support
  • Improved maps

54
Application Development Highlights
  • PL/SQL
  • Automatic compilation
  • Java and JDBC
  • Automatic JIT compilation
  • Like JDK ease of use
  • Windows and .NET
  • Vista support
  • Windows backup (VSS)
  • PHP
  • Database Resident Connection Pool
  • Application Express
  • Microsoft Access application migration
  • Reporting BI Publisher
  • Flash charting
  • Declarative Ajax support
  • WYSIWYG editing
  • SQL Developer
  • Version Control
  • Visual Query Builder
  • Migration Workbench integration

55
Other Oracle Database 11g Highlights
  • High Availability
  • Snapshot Standby
  • Logminer, Physical Standby, Streams support for
    XMLType, TDE
  • Fast Start Failover with Async Propagation
  • Flashback Transaction
  • One step duplicate DB or create standby over the
    network
  • Security
  • Secure By Default
  • Comprehensive Enterprise Manager support
  • Business Intelligence
  • Comprehensive Enterprise Manager support
  • PIVOT/UNPIVOT operators
  • Automatic Storage Management
  • Rolling upgrades
  • Automatic bad block repair
  • Fast disk array resync
  • Preferred read for geo clusters
  • Manageability and Diagnosability
  • Automatic Health Monitoring
  • PL/SQL
  • Fine-grained dependency tracking
  • Dynamic SQL enhancements
  • Performance analysis aids
  • Content Management
  • Storage Query of Semantic Content (RDF, OWL)
  • Secure Enterprise Search connectors
  • Text improvements

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