Oracle Database 11g Performance Tuning in Chennai

Oracle Database 11g performance Tuning Training Institute in Chennai SQL STAR

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 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.

Benefits to You

Ensure fast, reliable, secure and easy to manage performance. Optimize database workloads, lower IT costs and deliver a higher quality of service by enabling smooth and rapid consolidation within your Datacenter.

Course Methodology

The methodology used in the practices is primarily reactive. After configuring monitoring tools and reviewing the available reports, you'll be presented with the Oracle architecture based on the SQL statement processing of SELECT and DML.

SQL Tuning

The SQL tuning section assumes that the DBA has little or no ability to change the code. The DBA will influence the SQL performance with available tools, and will be introduced to various methods of identifying the SQL statements that require tuning (as well as the diagnostic tools needed to find ways to change the performance).

This will include the use of statistics, outlines and profiles to influence the optimizer, adding and rebuilding indexes and using the SQL Advisors. This course introduces the DB Replay and SQL Performance Analyzer tools to help you test and minimize the impact of change.

Instance Tuning

Instance tuning uses the same general method of observing a problem, diagnosing the problem and implementing a solution. The instance tuning lessons cover the details of major tunable components and describe how you can influence the instance behavior. For each lesson, we will examine the relevant components of the architecture.

The class only discusses the architecture to the level required to understand the symptoms and solutions. More detailed explanations are left to other courses, reference material and Oracle document ation.

Final Lessons

The last lesson of this course is a recap of the best practices discovered in the previous lessons, along with miscellaneous recommendations. The goal is to finish the course with a best practices list for students to take away.

Required Prerequisite

Oracle Database 11g: Administration Workshop I Release 2
Oracle Database 11g: Administration Workshop II Release 2

Audience

Database Administrators
Support Engineer
Technical Consultant

Course Objective

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 Topics
Introduction

This lesson introduces the Performance Tuning course objectives and agenda

Basic Tuning Tools

Monitoring tools overview
Enterprise Manager
Wait Events
V$ Views, Statistics and Metrics

Using Automatic Workload Repository

Managing the Automatic Workload Repository Create AWR Snapshots
Real Time SQL Monitoring (a 11.1 feature new lesson in NF L-15)

Defining Problems

Performance Versus Business Requirements
Limit the Scope & Setting the Priority
Defining the Problem
Monitoring and Tuning Tools: Overview
Top SQL Reports
Common Tuning Problems & Tuning During the Life Cycle
Performance Tuning Resources & Filing a Performance Service Request
ADDM Tuning Session

Using Metrics and Alerts

Viewing Metric History Information & Vsing EM to View Metric Details
Statistic Histograms & Histogram Views
Database Control Usage Model & Setting Thresholds
Server-Generated Alerts, Creating and Testing an Alert & Metric and Alert Views
Benefits of Metrics
Oracle Database 11g Solution: Metrics
Metrics, Alerts, and Baselines
Limitation of Base Statistics & Typical Delta Tools

Using Baselines

Comparative Performance Analysis with AWR Baselines
Moving Window Baseline
Managing Baselines with PL/SQL & Baseline Views
Using EM to Quickly Configure & Changing Adaptive Threshold Settings
Automatic Workload Repository Baselines
Baselines in Performance Page Settings & Baseline Templates
AWR Baselines & Creating AWR Baselines
Performance Monitoring and Baselines & Defining Alert Thresholds Using a Static Baseline

Using AWR Based Tools

ADDM Performance Monitoring
Active Session History: Overview
Automatic Maintenance Tasks

Monitoring an Application

What Is a Service? Service Attributes & Service Types
Creating Services & Managing Services in a Single-Instance Environment
Using Services with Client Applications & Using Services with the Resource Manager
Service Aggregation and Tracing & Service Aggregation Configuration.
Services and Resource Manager with EM & Using Services with the Scheduler
Using Services with Parallel Operations & Metric Thresholds
Everything Switches to Services.
Client Identifier Aggregation and Tracing & Service Performance Views

Identifying Problem SQL Statements

Reading an Execution Plan, Using the V$SQL_PLAN View & Querying the AWR
What Is an Execution Plan? Methods for Viewing Execution Plans & Uses of Execution Plans
DBMS_XPLAN Package: Overview & EXPLAIN PLAN Command
SQL Statement Processing Phases & Role of the Oracle Optimizer
Identifying Bad SQL, Real Time SQL Monitoring (a 11.1 feature new lesson in NF L-15) & TOP SQL Reports
How to Use the SQL Trace Facility
SQL*Plus AUTOTRACE & SQL Trace Facility
Generate an Optimizer Trace

Influencing the Optimizer

Join & Sort Operations
Enabling Query Optimizer Features & Influencing the Optimizer Approach
Using Hints, Optimizer Statistics & Extended Statistics
Controlling the Behavior of the Optimizer with Parameters
Functions of the Query Optimizer, Selectivity, Cardinality and Cost & Changing Optimizer Behavior
How the Query Optimizer Chooses Execution Plans for Joins
Reducing the Cost
Optimizing SQL Statements, Access Paths & Choosing an Access Path

Using SQL Performance Analyzer

SQL Performance Analyzer: Process & Capturing the SQL Workload
Comparison Report & Comparison Report SQL Detail
SQL Performance Analyzer: PL/SQL Example & Data Dictionary Views
Tuning Regressing Statements & Preventing Regressions
Parameter Change Analysis & Guided Workflow Analysis
Real Application Testing: Overview & Use Cases
Creating a SQL Performance Analyzer Task & SPA (NF Lesson 9) DBMS_SQLTUNE.CREATE_TUNING_TASK
Optimizer Upgrade Simulation & SQL Performance Analyzer Task Page

SQL Performance Management

Maintaining SQL Performance and Optimizer Statistics & Automated Maintenance Tasks
Statistic Gathering Options & Setting Statistic Preferences
SQL Plan Management: Overview
Automatic SQL Tuning: Overview
Deferred Statistics Publishing: Overview & Example
Using the SQL Access Advisor
Restore Statistics
SQL Tuning Advisor: Overview

Using Database Replay

The Big Picture & System Architecture
Database Replay Workflow in Enterprise Manager
Data Dictionary Views: Database Replay
Calibrating Replay Clients
Database Replay: PL/SQL Example
Replay Options & Analysis
Capture & Replay Considerations
Packages and Procedures

Tuning the Shared Pool

Diagnostic Tools for Tuning the Shared Pool
Shared Pool Architecture & Operation
Sizing the Shared Pool & Avoiding Fragment ation
Avoiding Hard & Soft Parses
UGA and Oracle Shared Server
The Library Cache & Latch and Mutex
Large Pool & Tuning the Large Pool
Data Dictionary Cache & SQL Query Result Cache

Tuning the Buffer Cache

Flushing the Buffer Cache (for Testing Only)
Buffer Cache Tuning Goals and Techniques
Oracle Database Architecture: Buffer Cache
Automatically Tuned Multiblock Reads
Working Sets
Buffer Cache Performance Symptoms & Solutions
Buffer Hash Table for Lookups
Database Buffers

Tuning PGA and Temporary Space

Monitoring & Tuning SQL Memory Usage
PGA Target Advice Statistics & Histograms
Temporary Tablespace Management: Overview & Monitoring Temporary Tablespace
SQL Memory Usage & Performance Impact
Automatic PGA and Enterprise Manager & Automatic PGA and AWR Reports
Temporary Tablespace Shrink & Tablespace Option for Creating Temporary Table
Configuring Automatic PGA Memory & Setting PGA_AGGREGATE_TARGET Initially
SQL Memory Manager

Automatic Memory Management

Oracle Database Architecture, Dynamic SGA & Memory Advisories
Increasing the Size of an SGA Component, SGA Sizing Parameters & Manually Resizing Dynamic SGA Parameters
Automatic Memory Management
Disabling, Configuring & Monitoring Automatic Shared Memory Management (ASMM)
Automatic Shared Memory Management & Memory Broker Architecture
Behavior of Auto-Tuned & Manually Tuned SGA Parameters
Using the V$PARAMETER View & Resizing SGA_TARGET
Granule & Manually Adding Granules to Components

Tuning Segment Space Usage

Space and Extent Management & Locally Manage d Extents
Block Allocation, Free Lists & Block Space Management with Free Lists
The DB_BLOCK_SIZE Parameter
Automatic Segment Space Management
How Table Data Is Stored & Anatomy of a Database Block
Migration and Chaining, Shrinking Segments & Table Compression: Overview
Minimize Block Visits
Small & Large Block Size: Considerations

Tuning I/O

I/O Diagnostics
I/O Calibration and Enterprise Manager, I/O Calibration and the PL/SQL Interface & I/O Statistics and Enterprise Manager
Stripe and Mirror Everything
Using RAID
What Is Automatic Storage Management?
I/O Architecture, File System Characteristics, I/O Modes & Direct I/O
Band width Versus Size & Important I/O Metrics for Oracle Databases
Database I/O Tuning

Performance Tuning Summary

Summarize the performance tuning methodology
Best practices identified throughout the course

Appendix B: Using Statspack