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Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Insert Information Protection Policy Classification from Slide 161
Unleash the Value of Oracle DatabaseJesus Robles (jesus.robles@oracle.com)
Database and Options Business Development Manager
Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Insert Information Protection Policy Classification from Slide 162
• #1 Market Leader (47.3% EMEA market share [Gartner])• Increase server efficiency by enabling database Consolidation on Private Clouds• Improve performance by at least 10x• increase storage efficiency by factor of 10x• Eliminate downtime AND maximize Data Protection• Raise DBA productivity• Improve Data Security
Oracle Database 11g Release 2Lowering IT Costs & Improving IT Service
Gartner: EMEA 2012 RDBMS Vendor Share
Total EMEA RDBMS Revenue (all vendors):
• 2011 Revenue: $8.398B(US)
• 2012 Revenue: $8.877B (US)
Oracle IBM Microsoft SAP/Sybase
14.4% 16.1%10.9%
163.8%
3.1%
-0.5%
12.4%
37.1%
Growth 2011Growth 2012
Oracle47.3%
IBM22.9%
Microsoft17.6%
SAP6.4%
Teradata2.7%
InterSystems0.6%
Progress 1.0%
Others1.5%
Source: Gartner’: “Market Share: All Software Markets, Worldwide 2012,” March 29, 2013, By Colleen Graham, Joanne Correia, David Coyle, Fabrizio Biscotti, Matthew Cheung, Ruggero Contu, Yanna Dharmasthira, Tom Eid, Chad Eschinger, Bianca Granetto, Hai Hong Swinehart, Sharon Mertz, Chris Pang, Asheesh Raina, Dan Sommer, Bhavish Sood, Marianne D'Aquila, Laurie Wurster and Jie Zhang
Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Insert Information Protection Policy Classification from Slide 164
Increasing Server Efficiency Database Consolidation on
Private Clouds
Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Insert Information Protection Policy Classification from Slide 165
Private Database Cloud Business Drivers
Reduce
IT Costs Reduce
Complexity
Increase
Quality of
Service
Increase
Agility
Lower CapEx
Servers Storage S/W licenses
OpEx Maintenance Management
Reduce
Configurations Services
Standardize OS DB Versions
Enhance IT service
time Availability Security
EnableOnline changes Rapid response Faster Time to market
Complexity
Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Insert Information Protection Policy Classification from Slide 166
Transformation
InfrastructureReduce HWReduce Sites
Service Delivery1:many monitoring1:1 monitoring of critical
systems
New InitiativesExisting Assets Discovery
& Control
BASIC
CONSOLIDATION
InfrastructureReduce HWIncrease FTE ratio
Service DeliveryProactive monitoring of
critical systems
New InitiativesContinuous monitoringIdentity Mgmt and Security
CONSOLIDATIO
NRATI
ONALIZATION
InfrastructureCloud InfrastructureShared InfrastructureShared Platforms
Service Delivery1:Many Provisioning1:Many Management
New InitiativesBare-Bone Metal ProvisioningImage Library MgmtAutomated Patch MgmtWorkload Mgmt
ZERO-TO-VIRTUAL
BUSINESS DRIVEN – A2D
InfrastructureBusiness Agility
Service DeliverySelf-ServicePolicy Driven ProvisioningReal-time User Experience
MonitoringCritical Business Flows
MonitoringNew InitiativesCloud Service ModelingCloud Service Set-UpBusiness Flows MgmtPay-As-You-Go
CostReduce Capex
Functional ChangesCentral monitoring
ImpactLow
CostReduce CapexReduce Opex
Functional ChangesStandardizationAutomation
ImpactApps & Users
CostTiered/Partial/Per Usage
Functional ChangesCreation of Cloud adminVirtual Ops MgmtVirtual Assets Mgmt
ImpactFixed Assets Becomes Variable
CostCost per Business FlowsFunctional ChangesBusiness Flows MgmtIdentity Mgmt
ImpactPay per Business Flow
CompletionSmart Sourcing
Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Insert Information Protection Policy Classification from Slide 167
Database Cloud Architectures Common building blocks are shared Database and storage pools
Platform
ERPDW CRM
DB
Platform
DB
DB
Database ConsolidationShared Database server pools
Real Application Clusters 11g R2Oracle Database 11g R2
Platform
ERPDW CRM
Platform
DB
Database Cloud
Schema ConsolidationShared database instances
Oracle Real Application Clusters 11g R2
Infrastructure Cloud
Server Consolidation Deploy in dedicated VMs Server virtualization
Hypervisor
CRMDW ERP
OS
DB
OSD
BOS
DB
HypervisorServer Pools Database Resource Mngr
Database Cloud Architecture (Logical View)
Application
Quality Mgmt
TEST data Management
ApplicationPerformance Mgmt
Diagnostics
Tuning
DB Lifecycle Management
ManageabilitySecurity
Audit Vault
Advanced Security
Data Masking
Database
Vault
Label
Security
Cloud Management
Platform
Oracle Database 11g R2 (11.2.0.3)
Partitioning – Storage Optimiz
ACO – Storage
Optimizat
RAC - High Availability
Active Dataguard –
Data Protection
RAT – Testing & Validation
Spatial -
Geo Location
Oracle Fusion Middleware
ApplicationsOracle Apps3rd Party Apps ISV Apps
InfrastructureOracle Exadata DB Machine
Exadata Smart Flash
HCC (Hybrid Columnar
Compress)
Database Storage IORM OL 5.6 16-32 CPU
cores512 GB Main
Memory
Storage Server Compute Nodes
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Exadata X3 | Database In-Memory Machine
2008
Warehouse
2010
Scale-UpOLTP & VLDB
2009
2012
Massive FlashAll I/Os to Flash
Database On Disk
X3
Database In-Memory
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NEW Exadata X3-2 Eighth RackFaster Than 2010 Quarter-Rack, 2008 Half-Rack
Lowest Cost Exadata ConfigurationPrice: 60% of Quarter Rack
16 Database Cores, 54 TB Disk, 2.4 TB PCI Flash
Highly Available configuration with all Exadata features
Brings Exadata Extreme Performance to smaller workloads, development, test, disaster recoveryHardware Identical to Quarter-Rack
Half CPU Cores, Disks, and Flash Cards Disabled
Half the Database and Exadata Software Licenses
Upgrade to Quarter-Rack with software command
LowestCost
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Increasing Storage Efficiency with Oracle Database 11g
Release2
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StorageEfficiency
Database Storage Challenges
Oracle IOUG survey
Storage Strategies
Oracle Data Partitioning
Oracle Advanced Compression
Hybrid Columnar Compression
Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Insert Information Protection Policy Classification from Slide 1613
Database Storage Challenges
Amount of data is growing
exponentially
• Today’s digital universe will grow 20X over next 10 years
• Not just “Big Data” also structured data in relational databases
Cost of hardware
• Shrinking but NOT exponentially
• Cost of IOP (Input Output operations per second ) is expensive
Cost of Performance
• Adding Tier 1 storage to databases with performance problems can be expensive
Complex Storage Tiering
• Information Lifecycle Management policies can be complex from a pure storage perspective
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IOUG Survey ResultsKey Findings
Data Environment
1 out of 10 Manage a
petabyte or more of online data
32%,Report data is growing more than 25% a year
Regulatory Requirements
12% Keep data ‘forever’
33% healthcare organizations
store data more than a decade
Applications Performance
50% say data growth is
outpacing storage capacity
2 out of 3 upgrade server hardware &
CPU for performance
Storage Strategy
#1 priority in 2012 is Efficiency and
cost savings
1/3 deploy tiered storage
* IOUG Storage Survey 2012
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Storage Strategies
* IOUG Database Growth Survey 2012
• 78% add more disk storage in response to data growth
• 1/3 implement tiered storage
• 61% compress database backups and exports and relational table data
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Oracle Data Partitioning OptionPartition tables into “smarter” pieces
•Queries execute faster against smaller partitions
•“Mandatory” for DWH operations
Increases performance
•24*7 access to critical data
Increases
availability
•Divide large tables into smaller, more manageable subsets.
•DBA operations benefit (data loads, backup, recovery)
•Partitioning Advisor new in Oracle DB 11g
Enables simpler management
•Individual partitions can be assigned to specific storage areas
•Reduces the cost of retaining data
Enables storage
cost optimization
•Applications remain unchanged
Transparent to applications
ActiveLessActive
Historical
Oracle Database Enterprise Edition
Partitioning Option
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ActiveLess
ActiveHistorical
Oracle Database 11g Enterprise Edition
Partitioning Option
AdvancedCompression
2x to 4x Compression Typical
17
Advanced Compression OptionMinimizes database storage usage
•OLTP and DW
Compress Large Application Tables
•Structured and unstructured data types
Compress All Data Types
•Faster RMAN compression
•Data Pump compression
Compress Backup Data
•Cascade storage savings throughout data center
Typical Compression of 2x-4x
•Applications are unchanged
Transparent to applications
•Now part of Advanced Compression in Oracle Database 11R2
Total Recall
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Hybrid Columnar CompressionOracle11g Release 2 feature
HCC Applicability
Data Warehousing
5-15x compression
Archival of Older OLTP
(via Partitioning)
Up to 50x compression
Compressprimary DB
standby test dev backup
Exadata
Pillar Axiom
ZFS SA
Oracle Tiered Storage and Exadata
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Eliminate downtime AND
Maximize Data Protection
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Leading Causes of Unplanned Downtime
Network Outage
Human Error
Server Failure
Storage Failure
Power Outage
Weather, Disaster
0%
10%
20%
30%
40%
50%
Survey of 350 Companies
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Flexible Maintenance
and Migrations
Media and Storage Failures
Human or Application
Error
Database, System,
Cluster, Site, and
Geographic Outages
Oracle Integrated Software Environment
Server Failure
Addressing both Unplanned and Planned Downtime
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Flexible Maintenance
and Migrations
Media and Storage Failures
Human or Application
Error
Database, System,
Cluster, Site, and
Geographic Outages
Oracle Integrated Software Environment
Server Failure
Automatic Storage Management
Recovery Manager (RMAN)
Oracle Secure Backup
• Instance failure
•Server failure
•Rolling maintenance
•Performance scale-out
•Online instance relocation
•Consolidation
Oracle RAC
•Fast point-in-time recovery
•Granular repair of logical corruptions
•Transaction
•Table
•Database
Flashback
• Database failure
• System failure
• Site failure
• Zero data loss
• Automatic failover
• Corruption protection
• Rolling upgrade
• Read-only offload
• Backup offload
Active Data Guard
Addressing both Unplanned and Planned Downtime
•Heterogeneous migrations
•Bi-directional and multi-masterreplication
•Zero downtime maintenance
GoldenGate
Edition Based Redefinition
•Zero downtime application upgrades
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Active Data Guard
Real-time Queries
Active Standby Database
ProductionDatabase
Continuous Redo Shipment and Apply
SYNC/ASYNC
Offload Fast Incremental Backups
Offload Readers
Automatic Block Repair
Real-Time Data Protection and Availability
Data Guard BrokerEnterprise Manager Cloud Control
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Raise DBA productivity
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Database Performance AnalysisChallenges
•Reported by end users•Discovered by daily checks
•Reactive to end-users
Find?
•Relate symptom to possible cause
•Relate possible cause to probable metric
•Implement change
Fix? •Did it work?•End-user feedback?•Run reports on metric
Validate?
•Will it occur again?•Custom script to watch for the metric
•Complex alerting and notification
Track?
1
2
3
4
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• For problem diagnosis use ADDM, EM Performance
• ADDM reveals significant problems including problematic SQL details and recommendations improve to performance
• ADDM family – Compare Period, Real-Time ADDM
1 – Find: Diagnostics
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Boost Administrator Productivity
Eliminate Performance Bottlenecks
Lower IT Management Costs
Deliver Higher Quality of Service
Automatic Performance DiagnosticsMaximize Performance With Self-Managing Database
• Sustain maximum performance with self-managing database• Top-down analysis using Automatic Workload Repository snapshots• Real-time performance analysis with Automatic Database Diagnostic Monitor• Resolve performance issues faster with drill-down root-cause analysis• Classification tree based on Oracle performance tuning expertise• Performance expert; now a RAC specialist too in Oracle Database 11g
Automatic WorkloadRepository Snapshots
Performance & Management
Advisors
HighLoadSQL
RACIssues
IO / CPUIssues
Self-Diagnostic Engine
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Performance Issues Automatically Diagnosed by ADDM
Top SQL I/O Issues
Parsing Configuration Issues
Application Usage
Excessive Logon/Logoff
Undersized Memory
Hot Blocks and Objects
RAC Service Issues
Locks & ITL contention
Checkpoint causes
PL/SQL, Java Time
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Compare Period ADDM
• Full ADDM analysis across two AWR snapshot periods• Detects causes, measure effects, then correlates them
• Causes: workload changes, configuration changes• Effects: regressed SQL, reach resource limits (CPU, I/O, memory, interconnect)
• Makes actionable recommendations along with quantified impact
AWR Snapshot Period 1
AWR Snapshot Period 2
Analysis ReportCompare Period ADDM
SQL Commonality
Regressed SQL
I/O Bound
Undersized SGA
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Compare Period ADDM: Method• Identify what changed
• DB configurations, workload changes
• Quantify performance differences• Uses DB Time as basis for measuring performance
• Identify root cause• Correlate performance differences with changes
Did the Buffer cache get smaller?
Why is there 10% new SQL?
Why Top SQL increased by 45%?
Read I/O are up by 55%, why?
Did a buffer cache reduction
cause a read I/O increase?
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Compare Period – 3 Modes
One snapshot offset
System moving window
Customized period
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Compare Period: Report
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Active Session History (ASH)
All ‘Active’ sessions captured every second• Foregrounds and backgrounds are sampled• Active foregrounds contribute to DB Time
In-memory: V$ACTIVE_SESSION_HISTORY • Sampling interval = 1 second
On-disk: DBA_HIST_ACTIVE_SESS_HISTORY
• Sampling interval = 10 seconds
ASH is a system-wide record of database activity• A FACT table with multiple dimensions that help diagnose performance issues
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Drilling into Logical Dimensions
ASH
SQL
PL/SQL
Resource Usage
Session Identifiers
Session Attributes
SQL
SQL ID
Plan Hash
Operation
OpCode
PL/SQL
PL/SQL
Top Level PL/SQL
Resources
Wait Class
Wait Event
Object
Blocking Session
Identifiers
Instance
Services
User Session
Parallel Process
Program
Session Type
Attributes
Cons. Group
Module
Action
Client
Trans. ID
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ASH Analytics
Flexible Time Picker
Flexible Activity Chart
Flexible Top Chart Flexible Top Chart
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• Seamless integration between Find and Fix
• In-depth analysis and recommendation of the fix
• Gather statistics for this example…
• How would we validate this changes?
2 – Fix: Tuning
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SQL Problems
Bind-sensitive SQL with bind peeking
Literal usage
CURSOR SHARING
Cursor Sharing Issues
Hardware resource crunch
Contention (row lock contention, block update contention)
Data fragmentation
Resource & Contention Issues
RESOURCES
Stale/Missing statistics
Incomplete statistics
Improper optimizer configuration
Upgraded Database: new optimizer
Changing statistics
Rapidly changing data
STATISTICS
Optimizer Statistics Issues
Missing access structures
Poorly written SQL statementsApplication Issues
APPLICATIONS
Not parallelized (no scaling to large data)
Improperly parallelized (partially parallelized, skews)Parallelism Issues
PARALLELISM
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SQL Tuning Advisor
SQL Tuning Advisor
Identifies alternate execution plans using
real-time and historical performance dataRecommends parallel profile if it will improve SQL
performance significantly (2x or more)
SQL Profiling
Statistics Analysis
Access Path Analysis
SQL Restructure Analysis
Alternative Plan Analysis
Parallel Query Analysis
Automatic Tuning Optimizer
Administrator
SQL
SQL TuningRecommendations
Gather Missing or Stale Statistics
Create a SQL Profile
Add Missing Access Structures
Modify SQL Constructs
Adopt AlternativeExecution Plan
Create Parallel SQL Profile
SQL
SQL Tuning Advisor
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Application TuningAutomatic SQL Tuning
Automatic SQL Tuning•Captures high-load SQL
•Tunes SQL using SQL Profiles
•Implements improved SQL plans (optional)
Performance benefit of advice
provided
SQL Profiling tunes execution
plan without changing SQL text
Enables transparent tuning
for packaged applications
Applications
SQL
High-Load
Packaged Apps +SQL Profile
Customizable Apps + SQL Advice
Customizable Apps + Indexes & MVs + Partitions
Tuned SQL
Automatic Tuning Optimizer
Auto SQL Tuning
Auto SQL AnalysisAccess
Analysis
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SQL Access Advisor
Automatic Tuning
Optimizer
Access
PathAnalysis
SQL Cache
SQL Tuning
sets
SQL
SQL Access Advisor
Indexes
Materialized Views
Materialized Views Logs
Partitioned Objects
SQL Access Advisor• Capture SQL Workload
from multiple sources
Set filters on the Workload
SQL Access Recommendations
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Real-Time SQL MonitoringLooking Inside SQL Execution
Guides tuning efforts
Automatically
monitors
long running SQL
Enabled
out-of-the-box
with no performance impact
Monitors
SQL execution
Exposes monitoring statistics
Global execution level
Plan operation level
Parallel Execution level
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SQL Monitoring DetailsExpensive Hash Join
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Real-Time PL/SQL Monitoring
PL/SQL execution no longer a “black box”•Answers questions like “why did my DBMS_STATS job take twice as long this time?”
Shows global (PL/SQL) and SQL level statistics
Each SQL called by PL/SQL recursively
monitored
Drill-down to slow SQL for diagnosing
unexpected PL/SQL behavior
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• End-to-end SPA workflow using Optimizer Statistics
• Seamless integration from Find to Fix to Validate to Implement with confidence
• No more guesswork
3 – Validate: Real Application Testing
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Real Application TestingSQL Performance Analyzer (SPA)
SQL WorkloadSTS
SQL Plans + Run-time StatsPre-Change Trial
SQL Plans + Run-time StatsPost-Change Trial
Compare SQL Performance Analysis Report
• Test and predict impact of system changes on SQL query performance
• Analyze performance changes for improvements and regressions
• Comprehensive performance analysis and reporting
• Re-execute SQL queries in the given environment
• End-to-end solution: STS, SQL Plan Baselines, and SQL Tuning Advisor
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SPA Analysis Report Example
41
32
5
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SPA Report Regressed SQL Statements
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Usage Scenario: Evaluating Changes On Production
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+Parameter Change
Fix Regression thru SPM
+Add indexes
Using SPA For Changes in Production: Example
Fix Regression SQL Profile
Prod
+SQL Profile
+New Stats Change
+Partitioning
+Validate Tuning
Parameter change was bad in this case
And so on…
+Index Unusable
• Bubble following the arrow indicates the delta change on Production
• SPA is used for testing every change
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When to use SPA?
• Optimizer Statistics• Database parameter changes• Database schema changes (e.g., add/drop indexes)• Implementation of tuning recommendations• I/O subsystem changes (e.g., ASM, Database Machine)• For consolidation (schema, CDB/PDB)• On test, standby, and production environments• Extended to home-grown scripts, application specific database changes, third-party
testing tools using STS compare analysis• Supports most applications - EBS, SAP, Siebel, home-grown, etc
SPA Provides Broad Testing Coverage
• My Oracle Support (MOS) Note: 560977.1• 9.2/10.1 10.2 or 11g or 12 releases• 10.2.0.x 10.2.0.y or 11g or 12 releases
SPA Provides Testing in Various Database Releases
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Real Application TestingLoad and SQL impact testing solution providing highest quality testing for the database tier
Remediate
TestTest
Deploy
• Benefit• Faster technology adoption• Lower cost and risk
• Features• Database Replay• SQL Performance Analyzer (SPA)
Business Agility through Superior Testing
Change
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Mantener parcheado al día
Diagnosticar Rendimiento
Gestionar amenazas seguridad
Identificar SQLs con alto consumo recursos
Gestionar el crecimiento con los mismos recursos
Promocionar cambios desde desarrollo a
producción
Aprovisionamiento sistemas para test o desarrollo
Gestionar el crecimiento de datos y sistemas
Efectuar tareas y procesos repetitivos
Monitorizar configuraciones para compliance
45%
42%
35%
33%
33%
26%
21%
17%
13%
21%
Los 10 desafíos principales de la Gestión de la DatabaseIOUG Survey
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Oracle Database Lifecycle Management Functions
Despliegue masivo de Software Oracle (Database, Real Application Clusters)
Soporte para todas las versiones de Grid Infrastructure, desde 11.2
Clonado de Gold Image y despliegue estandarizado via Templates
Mantenimiento integrado versiones parcheadas
Acceso controlado a los Templates de despliegue basado en roles, que elimina errores de proceso
Procedimientos de Despliegue guiados y automáticos basados en Templates
Aprovisionamiento vía Templates
Source DB systems
Target DB Systems
Software Library Storage
Captura y Almacenamiento de Gold images (y opcionalmente Datos) desde sistemas origen a la libreria de software de EM
Despliegue de imágenes almacenadas y datos a sistemas destino incluyendo configuraciones a medida
Actualización diaria desde My Oracle Support
Soporte para “modo desconectado” Recomendaciones parcheado proactivas
incluyendo tipos CPU,PSU Acceso a información complementaria sobre
los parches: errores corregidos, artículos asociados de KM, número de downloads, tendencias, etc.
Sistema de guiado manual o automático de los niveles de Parcheado
Recomendaciones de Parcheado
Comparativas con Gold Image ‘1-1’ y ‘1 a Muchos’ Notificación automática de detección
de desviaciones Encontrar la aguja en el pajar !!
Seguimiento y resolución de incidencias derivadas de errores de configuración
Gestión desviaciones Configuración
=?
=? =
?
DB
DB
DB
RACRAC
?=
Proporciona información continua acerca del grado de compliance de la Empresa
Histórico tendencias y seguimiento progreso global
Resultados exportables via email
Compliance Framework
Compliance Framework
Database Security
Oracle Database Security Products
Core Platform Security
User Management• Oracle Identity Management• Enterprise User Security
Data Protection• Oracle Advanced Security • Oracle Secure Backup
Access Control• Oracle Database Vault• Oracle Label Security
Monitoring• Oracle Audit Vault• Enterprise Mngr
Oracle Database Vault Compliance and Insider Threats
Controls on privileged users– Restrict DBA access to application data
– Provide Separation of Duty
– Security for database and information consolidation
Enforce data access security policies– Control who, when, where and how is data
accessed
– Make decision based on IP address, time, auth…
Validated with PeopleSoft E-Biz & other Apps validation underway,
including 3rd party
Reports
Realms
Multi-FactorAuthorization
Separationof Duty
CommandRules
Oracle Label SecurityManageability
• Policy based model• Multiple policies
supported• ACME, HR, Legal
• Policies are umbrellas applying to one or more tables, schemas, users
• Web based management
DataWrittenTo Disk TransparentlyEncrypted
DataTransparentlyDecryptedThroughSQL Interface
Transparent Data Encryption
Oracle Advanced SecurityTransparent Encryption and Strong Authentication Services
Transparent Data Encryptionwith RMAN Can Encryptentire Backups Sent to Disk
Transparent Network Encryption
Strong Authentication
Oracle Audit Vault
10gR210gR1
Oracle 9iR2(Future)Other Sources,Databases
Monitor Policies
Reports Security
Collect and Consolidate Audit Data
Simplify Compliance Reporting
Detect and Prevent Insider Threats
Scale and Security
Lower IT Costs With Audit Policies
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Oracle Support Lifecycle
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t
2008
2003
2004
2005
2006
2007
2002
2009
2010
today
11g Release 2: 3+ years free premier support
2011
2012
2013
2014
Sustaining SupportPremier Support
R2 July 2007
Extended Support
R2 July 2010
July 2013
http://www.oracle.com/support/library/brochure/lifetime-support-technology.pdf
2015
2016
Jan 2015
Jan 2018
0 YEARS FREE PREMIUM SUPPORT
> 3 YEARS FREE PREMIUM SUPPORT
R2
July 2012
Premier Support
Premier Support
Extended Support
Extended Support
Sustaining Support
Sustaining Support
R2
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