Knowledge United

Course Description

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.

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

Required Prerequisites

• Oracle Database 11g: Administration Workshop I
• Oracle Database 11g: Administration Workshop II

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

Course Outline

Introduction

• Tuning Questions
• Who tunes
• What to tune
• How to tune

Monitoring With Basic Tools

• Monitoring tools overview
• Enterprise Manager
• V$ 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