This Oracle Database 11g: SQL Tuning Workshop Release 2 training assists database developers, DBAs and SQL developers in identifying and tuning inefficient SQL statements. You'll explore investigative methods to reveal varying levels of detail about how the Oracle database executes the SQL statement; this helps you determine the root causes of the inefficient SQL statements.

Learn To:

• Use Oracle tools to identify inefficient SQL statements.
• Use Automatic SQL Tuning.
• Use Real Time SQL monitoring.
• Write more efficient SQL statements.
• Monitor and trace high load SQL statements.
• Manage optimizer statistics on database objects.
• Interpret execution plans, and the different ways in which data can be accessed.

Benefits to You
Gain expertise in relational database data management as you learn how to effectively use SQL commands against your business data. These features will help you query and manipulate data within the database, use the dictionary views to retrieve metadata and create reports about their schema objects.

Explore the Optimizer

Expert instructors will also help you explore how the optimizer chooses the path. You'll also learn how to influence the optimizer to ensure the best method is used.

Automatic SQL Tuning Tools

This course covers Automatic SQL Tuning tools and resources available in the Automatic Workload Repository. Furthermore, take advantage of bind variables, trace files and different types of indexes.

Note: this course is based on Oracle Database 11g Release 2.
Prerequisites
Audience

• Application Developers
• Database Administrators
• Database Administrators
• Developer
• Support Engineer
• Support Engineer
• Data Warehouse Developer
• Data Warehouse Developer
• Data Warehouse Administrator
• Data Warehouse Administrator
• Data Warehouse Administrator
• PL/SQL Developer

Course Objectives

• Trace an application through its different levels of the application architecture
• Understand how the Query Optimizer makes decisions about how to access data
• Define how optimizer statistics affect the performance of SQL
• List the possible methods of accessing data, including different join methods
• Identify poorly performing SQL
• Modify a SQL statement to perform at its best

Course Topics
Exploring the Oracle Database Architecture

• Oracle Database Server Architecture: Overview
• Automated SQL Execution Memory Management
• Database Storage Architecture, Logical and Physical Database Structures
• Physical Structure
• Segments, Extents, and Blocks & SYSTEM and SYSAUX Table spaces
• Automatic Shared Memory Management
• Connecting to the Database Instance
• Oracle Database Memory Structures: Overview

Introduction to SQL Tuning

• Monitoring and Tuning Tools: Overview
• Scalability with Application Design, Implementation, and Configuration
• Simplicity in Application Design
• Reason for Inefficient SQL Performance
• Performance Monitoring Solutions
• Common Mistakes on Customer systems & Proactive Tuning Methodology
• CPU and Wait Time Tuning Dimensions

• Data Modeling, Table Design, Index Design, Using Views, SQL Execution Efficiency, Overview of SQL*Plus & SQL Developer

Introduction to the Optimizer

• Transformer & Estimator
• Optimization During Hard Parse Operation
• SQL Statement Parsing: Overview
• Structured Query Language
• Plan Generator
• Cost-Based Optimizer
• Controlling the Behavior of the Optimizer, Optimizer Features and Oracle Database Releases
• Why Do You Need an Optimizer?

Interpreting Execution Plans

• Looking Beyond Execution Plans
• Automatic Workload Repository (AWR)
• Interpreting an Execution Plan
• Using the V$SQL_PLAN View
• What Is an Execution Plan? Where To Find Execution Plans and Viewing Execution Plans
• Reading More Complex Execution Plans and Reviewing the Execution Plan
• SQL Monitoring: Overview
• Plan Table & AUTOTRACE

Application Tracing

• End-to-End Application Tracing Challenge
• Use Enterprise Manager to Trace Services
• tkprof Output with and without Index: Example
• Location for Diagnostic Traces
• What is a Service? Use Services with Client Applications & Tracing Services
• Session Level Tracing: Example
• The trcsess Utility and SQL Trace File Contents
• Invoking the tkprof Utility and Output of the tkprof Command

Optimizer: Table and Index Operations

• Row Source Operations, Main Structures and Access Paths
• Index-Organized Tables
• Bitmap Indexes, Bitmap Operations and Bitmap Join Index
• Guidelines for Managing Indexes and Investigating Index Usage
• Using Indexes: Considering Nullable Columns
• Full Table Scan
• Indexes: Overview and B*-tree Indexes and Nulls
• Composite Indexes and Invisible Index

Optimizer Join Methods

• Hash Join and Cartesian Join
• Equijoins and Nonequijoins
• Outer Joins
• Antijoins
• Nested Loops Join
• Nested Loops Join: 11g Implementation
• Semijoins
• Sort Merge join

Optimizer: Other Operators

• Result Cache Operator
• When Are Clusters Useful?
• Filter operations and Concatenation Operations
• Count Stop Key Operator
• Min/Max and First Row Operators and Other N-Array Operations
• Sorting Operators and Buffer Sort Operator
• Inlist Iterator and View Operator
• UNION [ALL], INTERSECT, MINUS

Case Study: Star Transformation

• Star Transformation Hints
• Using Bitmap Join Indexes
• The Star Schema Model and The Snowflake Schema Model
• Bitmap Join Indexes: Join Model 1 to 4
• Star Transformation Plan Examples
• Star Transformation
• Retrieving Fact Rows from One Dimension and from All Dimensions
• Joining the Intermediate Result Set with Dimensions

Optimizer Statistics

• Locking Statistics, Export/Import Statistics and Set Statistics
• Gathering System Statistics and Statistic Preferences
• Manual Statistics Gathering
• Table, Index and Column Statistics
• Histograms, Frequency Histograms and Histogram Considerations
• Types of Optimizer Statistics
• Multicolumn Statistics and Expression Statistics Overview
• Index Clustering Factor

Using Bind Variables

• Bind Variable Peeking
• Cursor Sharing Enhancements
• The CURSOR_SHARING Parameter
• Interacting with Adaptive Cursor Sharing
• Cursor Sharing and Different Literal Values
• Forcing Cursor Sharing
• Adaptive Cursor Sharing
• Cursor Sharing and Bind Variables

Using SQL Tuning Advisor

• Tuning SQL Statements Automatically
• Database Control and SQL Tuning Advisor
• Stale or Missing Object Statistics and SQL Statement Profiling
• SQL Tuning Loop, Access Path Analysis and SQL Structure Analysis
• Application Tuning Challenges
• SQL Tuning Advisor: Overview
• Implementing Recommendations
• Plan Tuning Flow and SQL Profile Creation

Using SQL Access Advisor

• SQL Access Advisor: Overview
• SQL Access Advisor: Schedule and Review
• SQL Access Advisor: Workload Source
• SQL Access Advisor: Results
• Possible Recommendations
• SQL Access Advisor Session: Initial Options
• SQL Access Advisor: Recommendation Options
• SQL Access Advisor: Results and Implementation

Using Automatic SQL Tuning

• Automatic SQL Tuning
• Automatic SQL Tuning: Result Summary
• Configuring Automatic SQL Tuning
• SQL Tuning Loop
• Automatic SQL Tuning: Result Details
• Automatic SQL Tuning Result Details: Drilldown
• Automatic SQL Tuning Considerations
• Automatic Tuning Process

SQL Performance Management

• SQL Plan Baseline: Architecture
• Maintaining SQL Performance and SQL Plan Management: Overview
• SQL Plan Selection
• Enterprise Manager and SQL Plan Baselines
• Possible SQL Plan Manageability Scenarios
• SQL Performance Analyzer and SQL Plan Baseline Scenario
• Loading a SQL Plan Baseline Automatically and Purging SQL Management Base Policy
• Important Baseline SQL Plan Attributes