Oracle Database 12c: Performance Management and Tuning Training

Oracle Database 12c: Performance Management and Tuning Training (12cDB-PMT)


Oracle Database 12c: Performance Management and Tuning Training Course Hands-on

In the Oracle Database 12c: Performance Management and Tuning Training course, learn about the performance analysis and tuning tasks expected of a DBA: proactive management through built-in performance analysis features and tools, diagnosis and tuning of the Oracle Database instance components, and diagnosis and tuning of SQL-related performance issues.

Learn To:

Use the Oracle tuning methodology.
Use Oracle-supplied tools for monitoring and diagnosing SQL and instance performance issues.
Use database advisors to proactively correct performance problems.
Identify and tune problem SQL statements.
Monitor instance performance by using Enterprise Manager.
Tune instance components.

Customize It:

With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.

Audience/Target Group

Data Warehouse Administrator
Database Administrators

Oracle Database 12c: Performance Management and Tuning Training (12cDB-PMT)Related Courses:

Duration: 5 days

Skills Gained:

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

Course Content:


Course Objectives
Course Organization
Course Agenda
Topics Not Included in the Course
Who Tunes?
What Does the DBA Tune?
How to Tune
Tuning Methodology

Basic Tuning Diagnostics

Performance Tuning Diagnostics
Performance Tuning Tools
Tuning Objectives
Top Timed Events
DB Time
CPU and Wait Time Tuning Dimensions
Time Model
Dynamic Performance Views

Using Automatic Workload Repository

Automatic Workload Repository Overview
Automatic Workload Repository Data
Enterprise Manager Cloud Control and AWR
Compare Periods

Defining the Scope of Performance Issues

Defining the Problem
Limiting the Scope
Setting the Priority
Top SQL Reports
Common Tuning Problems
Tuning During the Life Cycle
ADDM Tuning Session
Performance Versus Business Requirements

Using Metrics and Alerts

Metrics and Alerts Overview
Limitation of Base Statistics
Benefits of Metrics
Viewing Metric History Information
Viewing Histograms
Server-Generated Alerts
Setting Thresholds
Metrics and Alerts Views

Using Baselines

Comparative Performance Analysis with AWR Baselines
Automatic Workload Repository Baselines
Moving Window Baseline
Baselines in Performance Page Settings
Baseline Templates
AWR Baseslines
Creating AWR Baselines
Managing Baselines with PL/SQL

Using AWR-Based Tools

Automatic Maintenance Tasks
ADDM Performance Monitoring
Using Compare Periods ADDM
Active Session History
New or Enhanced Automatic Workload Repository Views
Emergency Monitoring
Real-time ADDM

Real-Time Database Operation Monitoring

Use Cases
Defining a Database Operation
Scope of a Composite Database Operation
Database Operation Concepts
Identifying a Database Operation
Enabling Monitoring of Database Operations
Identifying, Starting, and Completing a Database Operation

Monitoring Applications

What is a Service?
Service Attributes
Service Types
Creating Services
Managing Services in a Single-Instance Environment
Where are Services Used?
Using Services with Client Applications
Services and Pluggable Databases

Identifying Problem SQL Statements

SQL Statement Processing Phases
Role of the Oracle Optimizer
Identifying Bad SQL
Top SQL Reports
SQL Monitoring
What is an Execution Plan?
Methods for Viewing Execution Plans
Uses of Execution Plans

Influencing the Optimizer

Functions of the Query Optimizer
Cardinality and Cost
Changing Optimizer Behavior
Optimizer Statistics
Extended Statistics
Controlling the Behavior of the Optimizer with Parameters
Enabling Query Optimizer Features

Reducing the Cost of SQL Operations

Reducing the Cost
Index Maintenance
SQL Access Advisor
Table Maintenance for Performance
Table Reorganization Methods
Space Management
Extent Management
Data Storage

Using SQL Performance Analyzer

Real Application Testing: Overview
Real Application Testing: Use Cases
SQL Performance Analyzer: Process
Capturing the SQL Workload
Creating a SQL Performance Analyzer Task
SQL Performance Analyzer: Tasks
Parameter Change
SQL Performance Analyzer Task Page

SQL Performance Management

Maintaining SQL Performance
Maintaining Optimizer Statistics
Automated Maintenance Tasks
Statistic Gathering Options
Setting Statistic Preferences
Restore Statistics
Deferred Statistics Publishing
Automatic SQL Tuning

Using Database Replay

Using Database Replay
The Big Picture
System Architecture
Capture Considerations
Replay Considerations: Preparation
Replay Considerations
Replay Options
Replay Analysis

Tuning the Shared Pool

Shared Pool Architecture
Shared Pool Operation
The Library Cache
Latch and Mutex
Diagnostic Tools for Tuning the Shared Pool
Avoiding Hard Parses
Reducing the Cost of Soft Parses
Sizing the Shared Pool

Tuning the Buffer Cache

Oracle Database Architecture: Buffer Cache
Buffer Cache: Highlights
Database Buffers
Buffer Hash Table for Lookups
Working Sets
Buffer Cache Tuning Goals and Techniques
Buffer Cache Performance Symptoms
Buffer Cache Performance Solutions

Tuning PGA and Temporary Space

SQL Memory Usage
Performance Impact
Automatic PGA Memory
SQL Memory Manager
Configuring Automatic PGA Memory
Limiting the size of the Program Global Area (PGA)
SQL Memory Usage

Automatic Memory

Oracle Database Architecture
Dynamic SGA
Memory Advisories
Manually Adding Granules to Components
Increasing the Size of an SGA Component
Automatic Shared Memory Management: Overview
SGA Sizing Parameters: Overview

Performance Tuning Summary with Waits

Commonly Observed Wait Events
Additional Statistics
Top 10 Mistakes Found in Customer Systems

Performance Tuning Summary

Initialization Parameters and their Impact on Performance
Initial Memory Sizing
Tuning the Large Pool
Best Practices for Different Types of Tablespaces
Block Sizes
Sizing the Redo Log Buffer and Redo Log Files
Automatic Statistics Gathering
Commonly Observed Wait Events

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Time Frame: 0-3 Months4-12 Months

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