Maximize Your Database

8/19/2019 Maximize Your Database

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Copyright © 2012, Oracle and/or its affiliates. All rights reserved.1

Maximize your DatabasePerformance

Find, Fix and Validate

Jesús Leonardo RoblesDB & O Business Development Manager

Valentín Leonard TabacaruPresales Technology Consultant


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Agenda

Database Performance Analysis

– Challenges and Solutions

1.- Find

2.- Fix

3.- Validate Resources


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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?

•Wil

•Cus

for t

•Com

not

1

2

3


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• For problem diagnosis

use ADDM, EMPerformance

• ADDM revealssignificant problemsincluding problematicSQL details and

recommendationsimprove to performance

• ADDM family – Compare Period, Real-Time ADDM

1 – Find: Diagnostics


5/277Copyright © 2012, Oracle and/or its affiliates. All rights reserved.5

Automatic Performance DiagnosticsMaximize Performance With Self-Managing Da

• 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 / CPUIssues

Self-Diagnostic

Engine


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Performance Issues Automatically Diagnosed

Top SQL I/O Issues

ParsingConfiguration

Issues

ApplicationUsage

ExcessiveLogon/Logoff UndersizedMemory

RAC ServiceIssues

Locks & ITLcontention

PL/SQL,Java Time


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Real-Time ADDM—Architecture

• Makes a lightweight connection without acquiring additional locks

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 ADD

EM Agent

JDBC Connection

Diagnostic Connection

ADDM

AnalysisDatabase

T


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Real-Time ADDM


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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

S

R

U


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Compare Period ADDM: Method

• Identify what changed

• DB con f igurat ions, work load c

• Quantify performance diff

• Uses DB Time as bas is fo

• Identify root cause

• Correlate perform ance di

Did the Buffer cachWhy is there 10%

Why Top SQL incr

Read I/O are up b

Did a buffer cac

cause a read I/O


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Compare Period – 3 Modes

One snapshot o

System movingwindow

Customized per


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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 per


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Drilling into Logical Dimensions

ASH

SQL

PL/SQL

ResourceUsage

SessionIdentifiers

Session Attributes

SQL

SQL ID

PlanHash

Operation

OpCode

PL/SQL

PL/SQL

Top LevelPL/SQL

Resources

WaitClass

WaitEvent

Object

BlockingSession

Identifiers

Instance

Services

UserSession

ParallelProcess

Program

SessionType


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ASH Analytics

Flexible Time Picker

Flexible Activity Chart

Flexible Top Chart Flexible Top Cha


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• Seamless integrationbetween Find and Fix

• In-depth analysis andrecommendation of thefix

• Gather statistics for this

example…

• How would we validatethis changes?

2 – Fix: Tuning

SQL P bl


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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:

Changing statistics

Rapidly changing dat

STATISTICS

Optimizer

Statistics Issues

Missing access structures

Poorly written SQL statements ApplicationIssues

APPLICATIONS

Not parallelized (no scaling to large data)

Improperly parallelized (partially parallelized, skews)ParallelismIssues

PARALLELISM


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SQL Tuning Advisor

SQL Tuning Advisor

Identifies alternate execution plans using

real-time and historical performance data

Recommends parallel profile if it wperformance significantly (2x

SQL Profiling

Statistics Analysis

Access Path Analysis

SQL Restructure Analysis

Alternative Plan Analysis

Parallel Query Analysis

Automatic Tuning Optimizer

S

Reco

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 TuningAdvisor


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Application TuningAutomatic SQL Tuning

Automatic SQLTuning

•Captures high-loadSQL

•Tunes SQL usingSQL Profiles

•Implements improvedSQL plans (optional)

Performancebenefit of advice

provided

SQL Profilingtunes execution

plan withoutchanging SQL

text

Applications

High-Load

PacSQ

Cu

SQ

CuIndPa

T

Automatic Tuning Optimizer


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SQL Access Advisor

Automatic Tuning

Optimizer

SQLCache

SQLTuning

sets SQL Access

Advisor

Indexes

Material

Material

Logs

Partition

SQL Access Advisor

• Capture SQL Workloadfrom multiple sources

Set filters on theWorkload

SReco

R l Ti SQL M it i


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Real-Time SQL MonitoringLooking Inside SQL Execution

G Automatically

monitors

long runningSQL

Enabledout-of-the-box

with noperformance impact

Expose

Glo

Pla

Para


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SQL Monitoring DetailsExpensive Hash Join


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Real-Time PL/SQL Monitoring

PL/SQL execution nolonger a “black box”

•Answers questions like “whydid my DBMS_STATS jobtake twice as long thistime?”

Shows global (PL/SQL)and SQL level statistics

Each SQL called byPL/SQL recursively

monitored

Dril

un


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Performance DiagnosticsActive Reports

Interactive reportsfor

off-line analysis

Drill-downs fordetailed analysis

Can be emailed

for analysis

DO


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D E M O N S T R A T I O

Automatic SQL Tunin


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D E M O N S T R A T I O

Monitoring SQL Stateme


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• End-to-end SPAworkflow using

3 – Validate: SPA


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Optimizer Statistics

• Seamless integrationfrom Find to Fix toValidate to Implementwith confidence

• No more guesswork

Real Application TestingSQL Performance Analyzer (SPA)

SQL Plans + Run-time Stats

Pre-Change Trial


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SQL Workload

STS SQL Plans + Run-time StatsPost-Change Trial

Compare SQLPerformance Ana

• 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

32


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4

1

SPA ReportRegressed SQL Statements


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Usage Scenario: Evaluating Chang


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Production

Fix Regression thru

+Add

indexes

Using SPA For Changes in Production: Example

Prod

Parameter changewas bad in this case


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+Parameter

Change

g

SPM

Fix Regression

SQL Profile

+SQL

Profile

+New Stats

Change

+Partitioning

+Valida

Tuning

• Bubble following the arr

delta change on Produc

• SPA is used for testing

When to use SPA?

• Optimizer Statistics

• Database parameter changes

• Database schema changes (e.g., add/drop indexes)

• Implementation of tuning recommendations

SPA Provides Broad Testing Coverage


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• 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-partytesting tools using STS compare analysis

• Supports most applications - EBS, SAP, Siebel, home-grown, etc

• My Oracle Support (MOS) Note: 560977.1

• 9.2/10.110.2 or 11g or 12 releases

• 10.2.0.x10.2.0.y or 11g or 12 releases

SPA Provides Testing in Various Database Releases


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Advanced Databases Performance Analy

Solution

• Built-in, self-diagnosticsengine: AutomaticDatabase DiagnosticsMonitor (ADDM)

(Diagnostics Pack)

Find

• Automates complex andtime consuming task of

application tuning

(Tuning Pack)

Fix • Validates tuning and“what-if” activities

(Real Application Testing)

Validate

• Extemetr

for aninclu

(Met


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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

http://www.oracle.com/us/products/enterprise-managerhttp://www.oracle.com/technetwork/oem/db-mgmthttp://www.oracle.com/us/products/enterprise-managerhttp://www.oracle.com/technetwork/database/manageabilityhttp://www.oracle.com/technetwork/database/manageabilityhttp://www.oracle.com/us/products/enterprise-managerhttp://www.oracle.com/technetwork/oem/db-mgmthttp://www.oracle.com/technetwork/oem/db-mgmthttp://www.oracle.com/technetwork/oem/db-mgmthttp://www.oracle.com/us/products/enterprise-managerhttp://www.oracle.com/us/products/enterprise-managerhttp://www.oracle.com/us/products/enterprise-manager


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Downloadable Technical Assets

[email protected] mailing list for support

mailto:[email protected]:[email protected]


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