<Insert Picture Here>
Introduction to Oracle Database 11g –
The Innovation Continues
Pat Shuff
Solutions Architect
Oracle Corporation
BROUG
May 17, 2007
Sample Oracle Innovations
• Automatic Storage Management
• Flashback technologies
• XMLDB
• Application Express
• Real Application Clusters
Oracle Database Innovation
30 years of
sustained
innovation …
Audit Vault
Database Vault
Grid Computing
Self Managing Database
XML Database
Oracle Data Guard
Real Application Clusters
Flashback Query
Virtual Private Database
Built in Java VM
Partitioning Support
Built in Messaging
Object Relational Support
Multimedia Support
Data Warehousing Optimizations
Parallel Operations
Distributed SQL & Transaction Support
Cluster and MPP Support
Multi-version Read Consistency
Client/Server Support
Platform Portability
Commercial SQL Implementation
1977
… continuing with
Oracle Database 11g
2007
Oracle’s Mission
Deliver the best information
with the highest Quality of Service at
the lowest cost
Oracle’s Mission
Deliver the best information
with the highest Quality of Service at
the lowest cost
Oracle Database must be the fastest,
most scaleable, most reliable,
most secure, easiest to use,
for all types of information…
The following is intended to outline our
general product direction. It is intended for
information purposes only, and may not be
incorporated into any contract. It is not a
commitment to deliver any material, code, or
functionality, and should not be relied upon in
making purchasing decisions.
The development, release, and timing of any
features or functionality described for
Oracle’s products remains at the sole
discretion of Oracle.
Managing Storage and Data
Managing & Using Information
Maintaining Availability, Security
and Performance
Managing Systems And
Managing Change
Managing
Storage
and
Data
Automatic Storage Management
ASM Disk
ASM Disk
ASM Disk
ASM Disk
ASM Disk
• The preferred and best storage
manager for Oracle Databases
•
•
•
•
Easier to manage than file systems
Performance of raw volumes
Built-in to Oracle database
Shared storage pool for all databases
• Free, and widely adopted
• >65% of 10g RAC deployments on ASM
• >25% of 10g customers already using ASM
• Many VLDB over 10TB
Automatic Storage Management
ASM Disk
ASM Disk
ASM Disk
ASM Disk
ASM Disk
• Spreads database files evenly
across storage arrays
• Storage arrays can be easily
added or remove
• transparent data redistribution
• Data mirrored across arrays
• Tolerates failure of disks or arrays
New ASM features in Oracle 11g:
•
•
•
•
ASM Fast Disk Resync
ASM Preferred Mirror Read
ASM Rolling Upgrade
Larger extent, allocation unit sizes
Data Compression
for All Applications
• Oracle 9i compresses data only during bulk
load; useful for DW and ILM
• Oracle 11g compresses w/ inserts, updates
• Typical compression ratio of 2x to 3x
• Database directly reads compressed data
eliminating decompression overhead
• Strategy: compress db’s 10 largest tables
• Shrink table data by 50%, increase CPU by 5%
• Savings cascade to all db copies: test, dev,
standby, mirrors, archiving, backup, etc.
Oracle SecureFiles
High-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
SecureFiles Breaks the
Performance Barrier!
File Read Performance
(MB/second)
120
100
80
60
40
20
0
SecureFiles
Linux Files
LOBs
0.1
1
10
File Size (MB)
100
• Innovative technology for high
performance large object data
•Smart buffering, write gathering,
intelligent locking
•Fast bulk data transfers, LOB
prefetch
• Much faster than LOBs with
more capabilities
• File system-like performance
with database functionality!
Database
Encryption
• Encrypt at a column level (10g)
• New: encrypt entire tablespaces
• Redo, undo, backups also
encrypted
• Key management done by
database
• Transparent to applications
Growing Data Volumes
100
80
Database
Size 60
(TB)
40
Size of the largest
data warehouse in
Winter Corp Survey
245% increase
from 2003
to 2005!
20
0
1998
1999
2000
2001
2002
2003
2004
2005
Source: 2005 TopTen Program, November 2005 © Winter Corporation, Waltham, MA, USA
Information Lifecycle Management
Optimize storage cost and performance
Active
Less
Active
Historical
Archive
DIGITAL DATA STORAGE
High Performance
Storage Tier
Low Cost
Storage Tier
Online Archive
Storage Tier
Offline Archive
Storage Tier
• Use Flashback Data Archive for long-term storage of “old” data
• Use table, index partitioning to separate data into different tiers
• Use new ILM assistant to establish policies, create scripts
Flashback Data Archive
Total Data Recall
Select * from orders
AS OF ‘Midnight 31-Dec-2004’
Archive
Tables
User
Tablespaces
Flashback
Data Archive
Oracle 11g Database
• Tamper-proof data
archive
• Efficient storage and
retrieval of undo
• Keep data for months,
years, decades!
• Fast access to even very
old data
• View data, versions of
rows as of any time
• Control data retention
time, purging of data
Flashback Data Archive
Total Data Recall
Select * from orders
AS OF ‘Midnight 31-Dec-2004’
Archive
Tables
User
Tablespaces
Flashback
Data Archive
Oracle 11g Database
• Access Historical Data –
”AS OF”
• Generate Reports –
“ROW VERSIONS”
• Information Lifecycle
Management (ILM)
• Auditing
• Data Recovery
• Enforce Data Retention
Policies
Oracle Partitioning
10 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 partitioning
Oracle 10g
Global hash indexes
Oracle 10g R2 1M partitions per table
Oracle Partitioning
10 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 partitioning
Oracle 10g
Global hash indexes
Oracle 10g R2 1M partitions per table
Partitioning by reference
Virtual column partitioning
New composite partitioning:
range-range, list-range,
list-list, list-hash
New Partitioning
Features
• New composite partitioning schemes
Range
List
•
•
•
•
Range
List
Hash
11g
9i
8i
11g
11g
11g
Partition (or index) on virtual (computed) columns
Partition advisor
Automatic range partition creation
Partition by REFERENCE (primary key of parent)
Partitioning
by REFERENCE
Table ORDERS
...
Jan 2006
Feb 2006
...
• RANGE(order_date)
• Primary key order_id
• Partitioning key inherited
through PK-FK relationship
• Avoids redundant storage,
maintenance of order_date
Table LINEITEMS
...
Jan 2006
Feb 2006
• RANGE(order_date)
... • Foreign key order_id
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
Oracle ILM Assistant
• Manages your ILM environment via a GUI interface
• Define lifecycle definitions
• Manage security & compliance
•
•
•
•
Advises when data needs to be moved, generates scripts
Requires Oracle Application Express
Supports Oracle Database 9i and up
Tool downloaded from OTN (available now!)
Oracle’s Storage Strategy –
Sustained Innovation
• Oracle storage suite builtout over last decade
• Each component
continuously enhanced to
add more value
• Secure Files
• Oracle Secure Backup,
Encryption
• ASM, RMAN Disk Backup
• XML DB, ILM, Compression
• Flashback
• Data Guard
• RMAN
• Best of breed in each area
8.0
8i
9i
9.2
10g
10.2
11g
Managing
and
Using
Information
Managing All Your Information
• Oracle Strategy: evolve the
Oracle database to manage
all enterprise Information
• Meld db and file metaphors
• Enable integration of all
enterprise information sources
• Enable rich information retrieval
capabilities
• Provide solutions built on top of
the database
• Uniform management of
content and metadata
• Scalable, secure, highly available,
integrated, robust, available on all
platforms
Secure Enterprise Search
Enterprise Search Solution
Content DB
Enterprise Content Management
XML DB
Integrated Native XML Database
Text & Ontology
Text and Semantic Processing
Location & Spatial
Location and Proximity Searching
Multimedia
Multimedia management
Relational
Characters, Numbers, Dates, LOBs
Oracle XML Support
• SQL access to XML content and
XML access to relational content
• Flexible native XML storage delivers
optimized application performance
• Repository integration enables
document centric access, security
and integrity and development
• Full support for key XML standards
including the W3C XQuery
recommendation and SQL/XML
Extending Oracle’s
XML Lead
Performance
Comprehensive XML storage and indexing
and efficient end-to-end XML processing
• Binary XML - Compact and efficient storage representation
•
•
•
•
Complements existing object storage and text storage models
XMLtype storage format transparent to developer
Single, compact XML representation across client, mid-tier, db
Plan to place our Binary XML format into open source
• XML Path Indexing for schema-less XML documents
Extending Oracle’s
XML Lead
Performance
Performance improvements in many areas
• Recursive schema handling
• Scalable XSL output
• XQuery and SQL/XML query optimization with
schema-less XML
• XML update optimizations
• Asynchronous XML index updates
Extending Oracle’s
XML Lead
XML application development
Enhanced productivity and flexibility
• Standards Support
•
•
•
•
•
XQuery 1.0 support
XDB as HTTP Server – expose PL/SQL as Web Services
Content Repository API for Java (JSR 170) support
Support for JCR 1.0, SQL:2007
XLink/Xinclude support
• XMLDB Repository Triggers
Extending Oracle’s
XML Lead
Operational completeness
Making XMLDB Mainstream
• XML type support in streams & logical standby
• In-place XML schema evolution
• XML language translation support
• Asynchronous XMLindex updates
• Large text node handling
Oracle XMLDB –
Sustained Innovation
Performance
Binary XML
Storage
& Indexing
XQuery
XML
API’s
1998
XML
Storage &
Repository
2001
2004
2007
Multimedia and
Spatial Enhancements
• New spatial features
• 3-D geometry, surface, and point cloud
storage and indexing
• Spatial web services
• Spatial routing engine enhancements
• Scalability, manageability, reliability,
usability enhancements
• Multimedia and medical imaging
• 3X performance improvement for
common image processing operations
• Large media handling (up to 128 TB)
• DICOM medical imaging support
• Java Advanced Imaging (JAI) support
Text and
Semantic Technology
Oracle Text
•
•
•
•
Enterprise Manager support
Incremental, online indexing
Web services
Composite indexes speed text,
relational queries
• User-defined relevance ranking
• More advanced new multilingual
and linguistic support,
including Arabic and Hebrew
Semantic Technology
• Query using concepts and terms
related to a keyword
• applications in life sciences,
defense, health care, enterprise
information integration
• New in 11g:
• Improved query/optimizer
support
• Improved bulk loading
• native, lightweight OWL
inferencing
Fast OLAP via SQL
Cubes as Materialized Views
SQL Query
• Detail data is stored in tables
• Applications use SQL queries
• Summary data is managed in
cubes (like materialized view)
• Databases manages cube
refresh as data changes
• Fast, incremental
• Cost-based aggregation
• SQL queries automatically rewritten to access the cube
• Application is unchanged, but
updates and queries are faster
OLAP for Every
Data Warehouse
SQL Query
• Any SQL application can
leverage OLAP Option
performance
• Cube technology is optimized
for business intelligence
• Excellent performance for ad-hoc
query loads
• Highly optimized incremental
refresh and aggregation
• Content rich calculations are easily
queried with SQL
• Seamless fit with warehouse
administration process
Oracle Record of OLAP Innovation
SQL
Star Queries
Cubes but no
SQL access
SQL
Views over
Cubes
Transparent
SQL Rewrite
to Cubes
Oracle Data Mining
Enhanced, Automated, Simplified
Find the top 5 stores that are
the furthest below forecast
SELECT store_id, loc,
sales, forecast FROM
(SELECT * FROM
(SELECT s.*,
PREDICTION
(CREATE REGRESSION
FOR sales USING *)
OVER () as forecast
FROM stores)
ORDER BY forecast-sales)
WHERE ROWNUM < 6;
On-the-fly Data Mining in SQL
• Enhanced data mining in SQL
• Eases application use of models
• Data Models as schema objects
• simpler administration, security
• Java API standards compliance
• Automated and embedded data
transformations
• (aka “Supermodels”)
• eases model building and scoring
• New predictive analytic data
mining procedures
• Regressions, segmentation, profiling,
grouping
Enhanced SQL –
PIVOT and UNPIVOT
PROD
QUARTER
AMOUNT
Shoes
Q1
2000
Shoes
Q2
1000
Jeans
Q1
1000
Jeans
Q3
500
Jeans
Q3
100
Jeans
Q4
1000
SELECT * FROM sales
PIVOT
(sum(amount)
FOR quarter in
‘Q1’,’Q2’,’Q3’,’Q4’);
PROD
Q1
Q2
Q3
Q4
Shoes
2000
1000
Null
Null
Jeans
1000
Null
600
1000
• Rotate rows into columns and vice versa
• Create aggregated cross-tabular result set
• Use to combine multiple rows to one, enabling inter-row
computations without self-join`
ALL Your Data –
Sustained Innovation


 Oracle8i 

 Text
 Oracle8  Spatial
 VLDB
 Media
 LOB’s
1999
 Objectrelational
 Extensibility
1977




 Oracle 10g 

 ULDB

 Location
Services
Oracle9i
 XQuery
XML DB
Repository
2004
SQL/XML
2001
Oracle 11g
Secure Files
Ontology
DICOM
Secure Search
Binary XML
XML Index
2007
Maintaining
Availability,
Security and
Performance
The Availability Challenge
Unplanned
Downtime
Server
Failures
Storage Failure
Data
Failures
Human Error
Corruption
Planned
Downtime
System
Changes
Data
Changes
Site Failure
Server Scale-Out with
Real Application Clusters
• Great scalability & availability
Active/passive • Pools standard low cost servers,
clustered servers
improves server utilization
• Runs applications unchanged
• 1000s of production customers
Pool of database
servers
New: 11g fine tunes
performance, scaling,
fail-over, management
Designed to Tolerate Server Failures
Storage Scale-Out with
Automated Storage Management
Dedicated
disks for
database
storage
Pool of Storage
for all databases
• ASM pools storage from
modular storage arrays
• Automatically remirrors
when disk or array fails
New: 11g fine tunes
recovery from corrupt blocks
and crashed storage arrays
Designed to Tolerate Storage Array Failure
Error Investigation with Flashback
• Flashback Query
• Query all data at point in time
select * from Emp
AS OF ‘2:00 P.M.’
where …
• Flashback Versions Query
Tx 3
Tx 2
Tx 1
• See all versions of a row
between times
• See transactions that changed
the row
select * from emp
VERSIONS BETWEEN
‘2:00 PM’ and ‘3:00 PM’
where …
Error Correction with Flashback
Correct errors at any level
Database
Customer
• Flashback Database – restore
database to time
• Flashback Table - restore
contents of tables to time
Order
New: Flashback Transaction –
back out transaction and all
subsequent conflicting
transactions
Data Recovery Advisor
Investigation
and Planning
• Diagnoses persistent data failures
• Presents appropriate repair actions
• Intelligently determines plan for
recovery, selecting repair option
Recovery
Time to Repair
Uncertainty and confusion
during an outage causes
delays and errors
• Data file restore/recovery, media
recovery, Flashback database, etc.
• Validates plan w.r.t. availability of
media components required
• Can automatically apply plan
Reduces Downtime by Eliminating Confusion
Customers Don’t Benefit
from Disaster Recovery
• Cost – choose no DR, or under-configure DR
• Rarely used – so little confidence in fail-over
• Data loss – leads to downstream problems
• Slow – faster to fix problems than fail-over
• Limited protection – site failures only
Oracle Data Guard –
Practical Disaster Protection
Production
Database
•
•
•
•
•
•
Log
Shipping
Synchronous or asynchronous log shipping
Corruptions don’t propagate
Configurable for zero data loss
Automatic fail over in seconds to standby (10.2)
Uses far less bandwidth than remote mirroring
Thousands of production customers
Standby
Database
Snapshot Standby
Physical Standby
Apply Logs
Open
Database
Back out
Changes
Snapshot Standby
Perform Testing
Continuous Redo Shipping
• Use Standby Database for
testing and development
• Eliminates cost of DR
• Preserves zero data loss while
in test/dev mode
• But no real time query or fast
failover
Real-Time Query with
Physical Standby
Production
Database
•
•
•
•
Continuous
Log
Shipping
Real-time
Queries
Logical or
Physical
Standby
Database
Previously available with Logical Standby
Continuous
Available with Physical Standby in 11.1
Real-Time
Query
Handles all data types, very fast, simple operation
Eliminates cost of DR: all hardware used for production
Benefits of Data Guard
for Disaster Recovery
• No cost – hardware and software
• Zero data loss - over long distances
• Fast Automatic Failover
• Covers all common failures – not just site failures
• Works transparently for existing applications
Bonus – Big Reduction in Planned Downtime
Reducing Planned Downtime
for System Changes
• Scaling Servers on Demand
Database
Storage
• Add RAC nodes online w/o data movement
• Scaling storage on demand
• Add ASM disks online w/ auto data rebalancing
• Online patching
• RAC rolling upgrades for complex patches, CPUs
• Rolling upgrades w/ standby for patch sets, version
changes
New: simple one-off patches can be
applied to a running Oracle instance
Data Security: Oracle Products
Access
Control
Identity
Management
• Database Vault
• Label Security
• Oracle Identity Management
Monitoring
• Audit Vault
• EM Configuration Pack
Core
Platform
Security
Data
Protection
• Advanced Security
• Secure Backup
Oracle
Advanced Security
Transparent Data Encryption
• Column level encryption (10gR2)
• Tablespace level encryption
• For encrypting entire application data
• Supports foreign keys and range scan
• LOB encryption
• Master Key protection in hardware
using PKCS #11
Oracle Database Vault
• Controls privileged users, enforces separation of duties
• Administrators can’t access application data
• Site-specific controls limit access by any user
Coming soon for
Oracle9i, 10g, 11g
DBA
FIN DBA
Fin
Fin Realm
SELECT …
Unexpected IP address FIN user
CREATE …
HR DBA
HR
HR Realm
Outside business hours HR DBA
Oracle Audit Vault
Coming soon
Console
Policies
Monitor
Report/Alert
Secure Audit
Warehouse
Enterprise-wide
Audit Solution for
Compliance & Security
• Collects audit info from
multiple sources
• SDK for customization
9i, 10gR1,
10gR2
Non
Oracle
DB
OS
App
Server
Audit
Collectors
Collector
SDK
Applications
• Monitor security-sensitive
activities
• Tamper-evident repository
• Alerting policies
Core Database
Security Enhancements
• Secure configuration by default
• Password management settings
• Audit sensitive administrative
operations
• Stronger password verifier
• PKI / Kerberos authentication for
super privileged DBAs
Oracle Database Security
Sustained Innovation
Oracle Audit Vault
Oracle Database Vault
DB Security Evaluation #19
Transparent Data Encryption
EM Configuration Scanning
Fine Grained Auditing (9i)
Secure application roles
Client Identifier / Identity propagation
Oracle Label Security (2000)
Proxy authentication
Enterprise User Security
Global roles
Virtual Private Database (8i)
Database Encryption API
Strong authentication (PKI, Kerberos, RADIUS)
Native Network Encryption (Oracle7)
Database Auditing
Government customer
1977
2007
Sustain Optimal Performance with
Self-Managing Database
Auto-Tuning
Advisory
Instrumentation
Sustain Optimal Performance with
Self-Managing Database
Auto-Tuning
Advisory
Instrumentation
Automatic SQL Tuning
Packaged
Apps
Custom
Apps
SQL Workload
Automatic SQL Tuning
SQL
Profiles
SQL
Analysis
• Captures high-load SQL
• Tunes SQL by creating SQL
profiles
• Optionally implements
greatly improved SQL plans
• Reports analysis
Report
Nightly
Welltuned
SQL
Manually
implement
• Runs runs in maintenance
window
Automatic
Memory Tuning
OS Memory
• Automatically adapts to
workload changes
OS Memory
DB Shared
Memory
• Adjusts PGA, SGA, o/s
memory
DB Shared
Memory
DB Process
Memory
DB Process
Memory
• Maximizes memory use
efficiency
• Single dynamic memory
parameter
• Helps eliminate out-ofmemory errors
Database Result Cache
• Automatically caches results of queries, query
blocks, or pl/sql function calls
• Cache is shared across statements and sessions on server
• Significant speed up for read-only / read-mostly data
• Full consistency and proper semantics
• Cache refreshed when any underlying table updated
query 1
executes
Group by
join
join
Table 1
Table 2
Table 3
Database Result Cache
• Automatically caches results of queries, query
blocks, or pl/sql function calls
• Cache is shared across statements and sessions on server
• Significant speed up for read-only / read-mostly data
• Full consistency and proper semantics
• Cache refreshed when any underlying table updated
result is
cached
cached
Group
resultby
join
join
Table 1
Table 2
Table 3
Database Result Cache
• Automatically caches results of queries, query
blocks, or pl/sql function calls
• Cache is shared across statements and sessions on server
• Significant speed up for read-only / read-mostly data
• Full consistency and proper semantics
• Cache refreshed when any underlying table updated
join
cached
Group
resultby
join
Table 4
join
query 2 uses cached
result transparently
Group by
join
Table 1
join
Table 2
Table 3
Table 5
Table 5
Database Result Cache
• Automatically caches results of queries, query
blocks, or pl/sql function calls
• Cache is shared across statements and sessions on server
• Significant speed up for read-only / read-mostly data
• Full consistency and proper semantics
• Cache refreshed when any underlying table updated
join
cached
Group
resultby
join
Table 4
join
query 2 uses cached
result transparently
Group by
join
Table 1
join
Table 2
Table 3
Table 5
Table 5
Other Transparent
Performance Improvements
• Auto-compiled PL/SQL and Java
• Compression for all data
• XML performance improvements
• Spatial, multimedia and semantic
optimizations
• Streams performance improvements
• SecureFiles faster than files or LOBs
• RAC and ASM optimizations
Managing
Systems and
Managing
Change
<Insert Picture Here>
Alfred North Whitehead:
Principia Mathematica
“The art of progress is to
preserve order amid
change and to preserve
change amid order.”
Lifecycle of Change Management
Test
Make Change
Set Up Test
Environments
Patches &
Workarounds
Diagnose &
Resolve
Problems
Provision for
Production
Diagnose Problems
Preserve Order Amid Change
Database Replay
Realistic Testing
• Recreate actual production database workload
• Capture production workload incl. concurrency
• Replay workload in test with production timing
• Analyze & fix issues before production
Middle Tier
Production
Environment
Oracle
DB servers
Test (RAC)
Environment`
Capture DB
Workload
Replay DB
Workload
Storage
SQL Performance Analyzer
Realistic Testing
• Test impact of change on SQL performance
• Capture SQL incl incl. statistics & bind vars
• Re-execute SQL in test environment
• Use SQL Tuning Advisor to seed SQL plans
Production
Environment
Oracle
DB servers
Capture
SQL
Storage
Test (RAC)
Environment`
Execute
SQL
Queries
Oracle Enterprise Manager 10g R3
• Configuration Management
• Service Level Management
Applications
• Application Performance Mgmt
• Lifecycle Management
• Dashboards
• Integrated view of applications
and infrastructure
• Manage service levels,
diagnostics and remediation
• Automate capacity on demand
• Simplify deployment
Middleware
Database
O/S
Oracle 10g R3 Grid Control
Stage Gold Image
Create reference system
1
2
Reliable Deployment
Automatic provisioning
from gold image
4
Scale-out RAC nodes
3
Create production system
• Greatly simplify RAC
provisioning with automation
• Single click RAC scale-out
and scale-back
• Provision full RAC and
Clusterware systems
• Configures entire stack
• Pre-requisite checks &
automatic fix-ups
Patch Automation
EM Support
Workbench
Reliable Deployment
 Proactively search
Metalink for
relevant patches
Apply patch
 Download
available patch
 Alert DBA
Proactive advisories from
Oracle Metalink
• Patches acquired based on
configurations and feature
usage (new in 11g DB)
• Stage once in library for
multiple deployments
• Best practice driven patching
• Rolling patching support for
RAC/ASM/Clusterware
(new in 10gR3 Grid Control)
Automatic Diagnostic Workflow
Diagnostic
Repository
 Alert DBA
 Run Health Checks
Error!
 Auto Incident Creation
 First-Failure Capture
 Check Metalink
If unknown issue
 Package incident & config
 Use Repair Advisor
If known issue
EM Support
Workbench
 Apply patch / workaround
 Use Repair Advisors
Reduce Time to Problem Resolution
• Highest Quality of Service
• Performance
• Scalability
• Availability
• Security
• Lowest Cost
• Easier to Manage
• Reduce risk of change
The preceding is intended to outline our
general product direction. It is intended for
information purposes only, and may not be
incorporated into any contract. It is not a
commitment to deliver any material, code, or
functionality, and should not be relied upon in
making purchasing decisions.
The development, release, and timing of any
features or functionality described for
Oracle’s products remain at the sole
discretion of Oracle.