Oracle Database 11g: Performance Tuning

What you will learn

Students learn how to use Oracle Database 11g automatic tuning features such as SQL Tuning Advisor, SQL Access Advisor, Automatic Workload Repository and Automatic Database Diagnostic Monitor, and practice these tuning methods. The course focuses on the tuning tasks expected of a DBA: reactive tuning of SQL statements, maintaining SQL statement performance, and tuning the Oracle Database Instance components. Throughout the course, students practice the art of tuning an Oracle Instance through a series of workshops. The methodology is practiced in the workshops rather than taught.

This course does not address partition tuning, materialized views, or RAC specific issues as they are covered in courses specifically for these products. This course makes use of many features that require the Enterprise Edition and optional Packs.

This course counts towards the Hands-on course requirement for the Oracle Database 11g Administrator Certification. Only instructor-led inclass or instructor-led online formats of this course will meet the Certification Hands-on Requirement. Self Study CD-Rom and Knowledge Center courses DO NOT meet the Hands-on Requirement.

Learn To:

• Use the Oracle Database tuning methodology appropriate to the available tools
• Utilize database advisors to proactively tune an Oracle Database Instance
• Use the tools based on the Automatic Workload Repository to tune the database.
• Diagnose and tune common SQL related performance problems
• Diagnose and tune common Instance related performance problems
• Use Enterprise Manager performance-related pages to monitor an Oracle Database

Audience

Database Administrators, Support Engineer, Technical Consultant

Prerequisites

Oracle Database 11g: Administration Workshop II

Oracle Database 11g: Administration Workshop I

Course Objectives

• Use Database Statistics and Metrics to identify a performance problem
• Interpret Tuning diagnostics
• Identify and eliminate performance issues
• Set tuning priorities and strategies
• Identify problem SQL statements
• Influence the optimizer

Introduction

Tuning Questions

Who tunes

What to tune

How to tune

Monitoring With Basic Tools

Monitoring tools overview

Enterprise Manager

Views, Statistics and Metrics

Wait Events

Time Model: Overview

Using Automatic Workload Repository

Automatic Workload Repository: Overview

Automatic Workload Repository Data

Database Control and AWR

Generating AWR Reports in SQL*Plus

Identifying the Problem

Tuning Life Cycle Phases

Identify a Tuning Issue

Remedy one problem

Identifying Problem SQL Statements

Characteristics of a bad SQL statement

Role of the Optimizer

Generate explain plan

Access Paths Choices

Trace the execution

Influencing the Optimizer

Manage Optimizer Statistics

Calibrate I/O

Optimizer Cost

Changing Optimizer Behavior

SQL Plan Management

Automatic Maintenance Tasks

SQL Profiles

SQL Access Advisor

SQL Outlines

SQL Plan Baselines

Change Management

Types of changes

SQL Performance Analyzer

DB Replay

Server-Generated Alerts

Using Metrics and Alerts

Benefits of Metrics

Database Control Usage Model

User-Defined SQL Metrics

Using AWR Based Tools

Automatic Maintenance Tasks

Using ADDM

Using Active Session History

Historical Data View

Monitoring an Application (Using Services)

Service Overview

Managing Service

Service Aggregation and Tracing

Tracing Your Session

Baselines

Working with Metric Baselines

Setting Adaptive Alert Thresholds

Configuring Normalization Metrics

Tuning the Shared Pool

Shared Pool Operation

Mutex

Statspack/AWR Indicators

Library Cache Activity

Diagnostic Tools

UGA and Oracle Shared Server

Large Pool

Tuning the Buffer Cache

Architecture

Tuning Goals and Techniques

Symptoms

Solutions

Tuning PGA and Temporary Space

Monitoring SQL Memory Usage

Temporary Tablespace Management

Automatic Memory Management

Automatic Memory Management Architecture

Dynamic SGA Feature

Managing Automatic Memory Management

Tuning Block Space Usage

Space Management

Extent Management

Anatomy of a Database Block

Block Space Management

Tuning I/O

I/O Architecture

Striping and Mirroring

Using RAID

I/O Diagnostics

Using Automatic Storage Management

Performance Tuning: Summary

Important Initialization Parameters with Performance Impact

Database High Availability: Best Practices

Tablespace: Best Practices

Statistics Gathering

Using Statspack

Introduction to Statspack

Capturing Statspack Snapshots

Reporting with Statspack

Statspack considerations

Statspack and AWR