Oracle Database 11g: Performance Tuning
  • Learn the steps a DBA performs to identify problem areas, diagnose problems and fix them
  • For Database Administrators, Support Engineer, Technical Consultant
  • Class is taught by expert trainer

Public Class

Virtual Class

Private Class

In-House Class

Key points about this course

Duration : 4 Days
Training Fee : RM 4,500.00
HRDF Claimable
Course Overview

This Oracle Database 11g Performance Tuning training starts with an unknown database that requires tuning. You’ll then learn the steps a DBA performs to identify problem areas, diagnose common problems and fix them.

Learn how to use Oracle Database 11g Performance Tuning at our training lab in Kuala Lumpur. This Oracle Database 11g Performance Tuning training course is also available if you want to conduct at your venue throughout Malaysia.

Learn To:

  • Describe Oracle tuning methodology.
  • Use Oracle supplied tools for monitoring and diagnosing SQL and Instance tuning issues.
  • Use database advisors to correct performance problems proactively.
  • Identify problem SQL statements & tune SQL performance problems.
  • Monitor the Instance Performance using Enterprise Manager.
  • Tune instance components, primarily using Instance parameters.
Course Objectives
  • 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
Course Content

Introduction

  • Tuning Questions
  • Who tunesa
  • 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

× WhatsApp Us