Oracle Database 12c: Performance Management and Tuning

Course code

Orcl_Db12cPMT

Duration

5 Days, 40 Acad. Hours

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Course Overview

Objectives

Prerequisites

Course Outline

Course Overview

Course overview

In the Oracle Database 12c: Performance Management and Tuning 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. In this course, you will be introduced to Oracle Database Cloud Service.

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.
Gain an understanding of the Oracle Database Cloud Service.

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
Gain an understanding of the Oracle Database Cloud Service

Prerequisites

Oracle Database 12c: Install and Upgrade Workshop Ed 1

Audience

Administrator
Database Administrator

Course Outline

Course Topics

1 – Introduction

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

2 – 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

3 – Using Automatic Workload Repository

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

4 – 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

5 – 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

6 – 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

7 – 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

8 – Real-Time Database Operation Monitoring

Overview
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

9 – 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

10 – 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 PlansUses of Execution Plans

11 – Influencing the Optimizer

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

12 – 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

13 – 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

14 – 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

15 – Using Database Replay

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

16 – 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

17 – 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

18 – Tuning PGA and Temporary Space

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

19 – Automatic Memory

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

20 – Performance Tuning Summary with Waits

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

21 – Oracle Database Cloud Service: Overview

Database as a Service Architecture, Features and Tooling
Software Editions: Included Database Options and Management Packs
Accessing the Oracle Database Cloud Service Console Automated Database Provisioning
Managing the Compute Node Associated With a Database Deployment
Managing Network Access to Database as a Service Scaling a Database Deployment
Performance Management in the Database Cloud Environment
Performance Monitoring and Tuning
What Can be Tuned in a DBCS Environment?

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Oracle Database 12c: Performance Management and Tuning

Course code:

Orcl_Db12cPMT

Duration:

5 Days, 40 Acad. Hours

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