Oracle Database 11g: SQL and PL/SQL New Features

In this course students learn new features of SQL and PL/SQL in Oracle Database 11g. This course introduces you to the SQL Developer tool, using which you learn various enhancements in language functionality and triggers.

Students learn to practice the language usability enhancements and utilize the performance improvement features such as in lining and flashback, code trigger enhancements to achieve more control over the triggers. Enhancements to the dynamic SQL features are also discussed in this course. Students also learn about the reengineered LOB data type that offers advanced, next-generation functionality such as intelligent compression and transparent encryption. Additionally, students explore the data warehousing usability enhancements with the new SQL PIVOT and UNPIVOT operators.

Learn To:

• Practice the performance improvements
• Monitor dependency tracking and change notification
• Write compound triggers and use the enhancements made to triggers
• Use Secure File LOBS
• Use the SQL Developer interface
• Write SQL statements that include the new functions added to enhance regular expression support functionality

A Live Virtual Class (LVC) is exclusively for registered students; unregistered individuals may not view an LVC at any time. Registered students must view the class from the country listed in the registration form. Unauthorized recording, copying, or transmission of LVC content may not be made.

Audience

• PL/SQL Developer
• Developer
• System Analysts
• Data Warehouse Administrator
• Application Developers

Course Topics Implementing the Language Functionality Enhancements

• Use the new regular expression support functions to find sub patterns and count the occurrences of patterns
• Track dependencies at the element level
• Find and fix exception handlers that do not pass the exception upward to the calling program or environment
• Dispatch an over ride-able object type method using the ANSI SQL 2003 standard for super-types
• Use the WAIT option for DDL statements
• Use the LOCK TABLE new syntax that enables you to specify the maximum number of seconds the statement should wait to obtain a DML lock on the table

Executing Dynamic SQL in PL/SQL with the 11g Enhancements

• Write PL/SQL code that uses dynamic SQL and allows for SQL statements larger than 32kb
• Use the DBMS_SQL.PARSE() function that is overloaded for CLOBs
• Convert a REF CURSOR to a DBMS_SQL cursor and vice versa to support interoperability
• Program using the enhancements to DBMS_SQL that include supporting the full range of data types (including collections and object types)
• Create user-defined collection types and bulk bind them using DBMS_SQL

Utilizing the Performance Improvement Enhancements

• List the compiler changes and how the changes impact native compilation
• Use the new SIMPLE_INTEGER data type
• Describe the process of in-lining
• Use flashback to store and track all transactional changes to a record

Practicing the Language Usability Enhancements

• Implement the sequence calls to NEXTVAL and CURRVAL without using a SQL statement to retrieve the values
• Use the new CONTINUE statement to control the next loop iteration or to leave a loop
• Use both named and mixed notation calls to functions from a SQL statement
• Use the ALTER TABLE statement to change tables to read-only status

Coding the Trigger Enhancements

• Create compound triggers
• Create disabled triggers
• Use the ENABLE clause with a trigger
• Control trigger order with the FOLLOWS and PRECEDES clauses

Administering Secure-File LOBs

• Describe Secure-File LOB features
• Migrate Basic-File LOBs to the Secure-File LOB format
• Analyze the performance of LOBs
• Enable Secure-File LOB de-duplication, compression, and encryption

Using the Data Warehousing Usability Enhancements

• Identify the benefits of pivoting and un-pivoting operations
• Write cross-tab queries to pivot (rotate) column values into new columns and to un-pivot (rotate) columns into column values
• Pivot and un-pivot with multiple columns and multiple aggregates
• Use wildcards and aliases with pivoting operations

Using the SQL Developer Enhancements

• Navigate through the object navigator and view the enhancements
• Compile and debug PL/SQL
• Browse through the available search engines
• Change preferences
• Create reports

Course Objectives

• Explore the PIVOT and UNPIVOT Data warehousing operators
• Use the SQL Developer interface
• Write SQL statements that include the new functions added to enhance regular expression support functionality
• Use the enhancements added to native dynamic SQL and to DBMS_SQL which enable more interoperability between the two methodologies
• Use element level dependency tracking
• Write compound triggers and use the enhancements made to triggers
• Practice the performance improvements
• Use Secure File LOBS
• Write SQL and PL/SQL calls to sequences that are simpler
• Use the new CONTINUE statement to control loops