Overview This course assists database developers, DBAs, and SQL developers to identify and tune inefficient SQL statement. It
covers investigative methods to reveal varying levels of detail about how the Oracle database executes the SQL
statement. This allows the student to determine the root causes of the inefficient SQL statements.
Students learn to interpret execution plans, and the different ways in which data can be accessed. They will learn how
the optimizer chooses the path and how to influence the optimizer to ensure that the best method is used. This course
covers Automatic SQL Tuning tools, and resources available in the Automatic Workload Repository, in addition to taking
advantage of bind variables, trace files, and different types of indexes.
This course is based on Oracle Database 11g Release 2.
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
Pre-Requisites
- Suggested Prerequisites
- Oracle Database: SQL Fundamentals I
- Oracle Database: Introduction to SQL
Next Course Dates
Dates available on request. Please contact us
More Information
- Application Developers
- Data Warehouse Administrator
- Data Warehouse Developer
- Database Administrators
- Developer
- PL/SQL Developer
- Support Engineer
- Identify poorly performing SQL
- 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
- Modify a SQL statement to perform at its best
- Exploring the Oracle Database Architecture
- Introduction to SQL Tuning
- Introduction to the Optimizer
- Interpreting Execution Plans
- Application Tracing
- Optimizer: Table and Index Operations
- Optimizer Join Methods
- Optimizer: Other Operators
- Case Study: Star Transformation
- Optimizer Statistics
- Using Bind Variables
- Using SQL Tuning Advisor
- Using SQL Access Advisor
- Using Automatic SQL Tuning
- SQL Performance Management