Findfixandvalidate 140221013443-phpapp01

Copyright © 2012, Oracle and/or its affiliates. All rights reserved.1
Maximize your Database
Performance
Find, Fix and Validate
Jesús Leonardo Robles
DB & O Business Development Manager
Valentín Leonard Tabacaru
Presales Technology Consultant

Agenda
 Database Performance Analysis
– Challenges and Solutions
 1.- Find
 2.- Fix
 3.- Validate
 Resources

Database Performance Analysis
Challenges
•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

• 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

Boost Administrator
Productivity
Eliminate Performance
Bottlenecks
Lower IT Management
Costs
Deliver Higher Quality of
Service
Automatic Performance Diagnostics
Maximize 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 Workload
Repository Snapshots
Performance &
Management
Advisors
High
Load
SQL
RAC
Issues
IO / CPU
Issues
Self-Diagnostic
Engine

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

Real-Time ADDM—Architecture
• Makes a lightweight connection without acquiring additional locks and
resources, bypassing the SQL layer through the agent
• Also attempts to initiate standard JDBC connection
• Data returned by either connection is analyzed by Real-Time ADDM
EM Agent
JDBC Connection
Diagnostic Connection
ADDM
Analysis
Database
Resource
Constraints
Hangs
Memory Issues
Resource Limits
Reached
Deadlocks
Top Issues Identified by
Real-Time ADDM

Real-Time ADDM

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

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?

Compare Period – 3 Modes
One snapshot offset
System moving
window
Customized period

Compare Period: Report

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

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

ASH Analytics
Flexible Time Picker
Flexible Activity Chart
Flexible Top Chart Flexible Top Chart

• 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

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

SQL Tuning Advisor
SQL Tuning Advisor
Identifies alternate execution plans using
real-time and historical performance data
Recommends 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 Tuning
Recommendations
Gather Missing or Stale Statistics
Create a SQL Profile
Add Missing Access Structures
Modify SQL Constructs
Adopt Alternative
Execution Plan
Create Parallel SQL Profile
SQL Tuning
Advisor

Application Tuning
Automatic 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
High-Load
Packaged Apps +
SQL Profile
Customizable Apps +
SQL Advice
Customizable Apps +
Indexes & MVs +
Partitions
Tuned SQL
Automatic Tuning Optimizer

SQL Access Advisor
Automatic Tuning
Optimizer
SQL
Cache
SQL
Tuning
sets 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

Real-Time SQL Monitoring
Looking Inside SQL Execution
Guides tuning
effortsAutomatically
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

SQL Monitoring Details
Expensive Hash Join

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

Performance Diagnostics
Active Reports
Interactive reports
for
off-line analysis
Drill-downs for
detailed analysis
Can be emailed
for analysis
Does not require
Oracle Enterprise
Manager
installation

D E M O N S T R A T I O N
Automatic SQL Tuning

Monitoring SQL Statements

• 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: SPA

Real Application Testing
SQL Performance Analyzer (SPA)
SQL Workload
STS
SQL Plans + Run-time Stats
Pre-Change Trial
SQL Plans + Run-time Stats
Post-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

SPA Analysis Report Example
4
1
3
2
5

SPA Report
Regressed SQL Statements

Usage Scenario: Evaluating Changes On
Production

+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

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

SQL Access Advisor & SQL
Performance Analyzer

Advanced Databases Performance Analysis
Solution
• Built-in, self-diagnostics
engine: Automatic
Database Diagnostics
Monitor (ADDM)
(Diagnostics Pack)
Find
• Automates complex and
time consuming task of
application tuning
(Tuning Pack)
Fix • Validates tuning and
“what-if” activities
(Real Application Testing)
Validate
• Extend EM out-of-box
metrics - Can be defined
for any target type,
including applications
(Metric Extensions)
Track

Resources
 Oracle Enterprise Manager 12c:
http://www.oracle.com/us/products/enterprise-manager
 Oracle Enterprise Manager 12c Database Management
http://www.oracle.com/technetwork/oem/db-mgmt
 Database Manageability and Real Application Testing:
http://www.oracle.com/technetwork/database/manageability
 Oracle Enterprise Manager on Beehive Online
Downloadable Technical Assets
oracle12c_es@oracle.com mailing list for support

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