Download Oracle Database 11g - Greater Cincinnati Oracle Users Group

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Oracle Database 11g Overview
Gary Quarles
Sales Consultant
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
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Sustained Innovation – Grid
Computing
SMP
Dominance
RAC
Clusters
for
Availability
Grids of
low cost
hardware and
storage
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Well Proven Scalability
• RAC 8+ node customers
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Citigroup
Burlington Coat Factory
J2 Global Communications
Genworth Financial
Amazon.com
MSDS
Mercado Libre
Yahoo! Overture
Babcock Engineering
Ordnance Survey
Dell
Yahoo!
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SAIC
Fairmont Hotels
ADESLAS
Evite.com
Quelle AG
Telstra
Gas Natural
MyTravel
Thompson
AOL
Vivo
Sagawa Kyubin
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Example: Amazon Data Warehouse
• 51 TB row data
16 Node RAC Linux Cluster
4 CPUs per Node
• 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
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Benefits Achieved
•Scalability - Easily Expanded Original 10 Node
Cluster to 18 Nodes
•Improved Availability
•Disaster Tolerance with Dataguard
18-node cluster IBM x-Series
Data Center 1
•Better Performance - Large Queries – 50% Faster
•Easier, Less Disruptive Storage Changes with ASM
•Significant Cost Savings, Better IT Productivity
Data Center 2
Oracle RAC 10gR2
IBM xSeries – SUSE Linux
Oracle ASM – Two
diskgroups, one SAN,
one SATA
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Mark Beyer, Gartner
December 2006
“Oracle customers are highly satisfied with
its Real Application Clusters and Automatic
Storage Management when pursuing scaleout strategies.”
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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
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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!
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Make Change Safe
Enabling Change While Maintaining Stability
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
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Database Replay
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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
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Many issues go undetected
System availability and performance negatively impacted
• Cause of low success rate
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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
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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
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Capture full production workload with real load, timing &
concurrency characteristics
Move the captured workload to test system
• Replay Workload in Test
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Make the desired changes in test system
Replay workload with full production characteristics
Honor commit ordering
• Analyze & Report
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Errors
Data divergence
Performance divergence
Analysis & Reporting
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Database Replay: Supported Changes
Client
Client
…
Client
Changes
Unsupported
Middle Tier
Changes Supported
•Database Upgrades, Patches
•Schema, Parameters
Recording of
External Client
Requests
•RAC nodes, Interconnect
•OS Platforms, OS Upgrades
Storage
•CPU, Memory
•Storage
•Etc.
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Comparison of LoadRunner & DB Replay
Testing e-Business Suite
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Time Taken (Days)
80
60
24
40
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20
5
20
4
0
Install & Setup
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Understand
Application
Usage
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Identify Key
Transactions
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Generate
Workload
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LoadRunner
DB Replay
Run Test
Total Testing Time
DB Replay: 2 weeks
LoadRunner: 30 weeks
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Why DB Replay?
150
Days
From:
To:
Artificial workloads
Production workloads
Partial workflows
Complete workflows
Months of development
Days of development
Manual intensive
Automated
High risk
Low risk
10
Days
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Database Replay Workflow
Production (10.2.0.4)
Clients
Test (11.1)
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Replay Driver
Mid-Tier
…
Storage
Storage
Capture
Process
Replay
Analysis &
Reporting
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Make Change Safe
• Major online upgrade enhancements
• Online database upgrades for Data Guard Physical Standby
• Physical Standby is Data Guard’s 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
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Automate Still More Administrative Functions
Freeing key personal for higher value tasks!
Why Automate?
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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
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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 suboptimal behaviors, alerts DBA to problems, and advises on
corrective actions
• Automation – gives DBAs the option to turn on full automation
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Self Managing Database
Auto-Tuning
Advisory
Instrumentation
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Self Managing Database
Auto-Tuning
Advisory
Instrumentation
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ADDM for RAC
Database-Level
ADDM
11g
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Self-Diagnostic Engine
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Instance-Level
ADDM
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Inst 2
Inst 1
AWR 1
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:
AWR 2
Inst 3
AWR 3
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Global cache interconnect
issues
Global resource contention,
e.g. IO bandwidth, hot
blocks
Globally high-load SQL
Skew in instance response
times
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Automatic SQL Tuning
Packaged
Apps
Custom
Apps
Auto Capture
High-Load SQL
Nightly
Automatic SQL Tuning
SQL
Profiles
Automatic
implement
SQL
Analysis
• Automatically captures highload SQL
• Automatically tunes SQL by
creating SQL Profiles
• Automatically implements
(optional) greatly improved
SQL plans
• Automatically reports analysis
• Automatically runs during
maintenance window
Report
Manually
implement
Well-tuned SQL
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Partitioning Advisor
Packaged
Apps
Custom
Apps
SQL Workload
SQL Advisor
SQL
SQL Plan
Access
Structure
Tuning
Analysis
Analysis
SQL
Profile
SQL
Advice
Indexes
& MVs
Well-tuned
SQL &
Schema
New!
Partition
Analysis
Partition
Advice
• 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
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Automatic Memory Tuning
OS Memory
OS Memory
DB Shared
Memory
DB Shared
Memory
• Automatically adapts to
workload changes
• Maximize memory utilization
• Single dynamic memory
parameter
• Helps eliminate out-of-memory
errors
DB Process
Memory
DB Process
Memory
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Simplify Systems
Simplify Your Information Infrastructure For Maximum Agility and
Lowest Cost!
Old Pre-Grid Infrastructure
DSS
HR
DSS
Standby
HR
Standby
Finance
Finance
Standby
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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)
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Oracle Database 10g Database Grid
HR
Financials
DSS
Consolidate Workloads to a Single…
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Oracle Database 10g Storage Grid
HR
Financials
DSS
Automatic
Storage Management
Low Cost Module Storage
Monolithic Storage
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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
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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
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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 today’s rapidly growing datasets
• Improved performance
• Partition elimination speeds table scans
• Reduced costs
• Automatically place less used data on lower cost storage
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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
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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
Select * from orders
AS OF
‘Midnight 31-Dec2003’
ORDERS
User
Tablespaces
Archive
Tables
Flashback Data
Archive
Total Recall
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Flashback for Rapid Recovery from
Human Error
Flashback
Query
Flashback
Tables
Flashback
Database
Flashback
Data Archive
and
Transaction
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Enhance Performance
Major New Performance Innovations
Advanced Compression
in Oracle Database 11g
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
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Introducing Advanced Compression
• Advanced compression in Oracle Database 11g
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Structured data compression
Unstructured data compression
Compression for backup data
Network transport compression
• Reduces resource requirements and costs
• Storage System
• Network Bandwidth
• Memory Usage
Redo Logs
Standby
Backups
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Structured Data Compression
For 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
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Unstructured Data Compression
Oracle SecureFiles
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New feature in Oracle Database 11g
Secure, high performance, storage optimized solution
Documents, spreadsheets, images, multimedia, etc.
SecureFile Compression
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Automatically determines if SecureFile data is compressible
2 to 3x compression for typical files
Industry standard compression algorithms
Multiple compression levels optimize performance & space
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SecureFile De-duplication
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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.
Secure
hash
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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
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Advanced Compression
in 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
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Improves application performance
Enhances memory and network efficiency
Complete application transparency
Benefits diverse application workloads
• Transaction Processing
• Data Warehousing
• Content Management
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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
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Major New Performance Innovations
• TimesTen
• Application tier in-memory database gets even more
compatible with Oracle, more functional, and faster
• And much more …
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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
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Enrich Information Management and Application
Development
Across the board improvements in information management and
application development tools
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
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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
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Other Oracle Database 11g Highlights
• High Availability
• Automatic Storage Management
• Snapshot Standby
• Rolling upgrades
• Logminer, Physical Standby, Streams
• Automatic bad block repair
support for XMLType, TDE
• Fast disk array resync
• Fast Start Failover with Async
• Preferred read for geo clusters
Propagation
• Manageability and Diagnosability
• Flashback Transaction
• Automatic Health Monitoring
• One step duplicate DB or create
• PL/SQL
standby over the network
• Fine-grained dependency tracking
• Security
• Dynamic SQL enhancements
• Secure By Default
• Performance analysis aids
• Comprehensive Enterprise Manager
support
• Content Management
• Business Intelligence
• Storage & Query of Semantic Content
(RDF, OWL)
• Comprehensive Enterprise Manager
• Secure Enterprise Search connectors
support
• Text improvements
• PIVOT/UNPIVOT operators
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QUESTIONS
ANSWERS
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