Oracle SQL 10g: SQL and PL/SQL New Features

Course Overview

In this course, students learn about the new binary-float data types enhancements in Oracle Database 10g. Students also identify the new Large Objects (LOB) enhancements. Students learn the new enhancements to nested collections, table functions, versioning of rows, the flashback feature, and many other SQL enhancements. Participants learn how to use regular expressions to search for and manipulate simple and complex patterns in string data.

Increase productivity, increase return of investment and extend the functionality of your already feature-rich database. Students use the new PL/SQL compiler initialization parameters, use conditional compilation, hide PL/SQL source code using dynamic obfuscation, and identify the new enhancements in bulk binding. Students also use the SQL Model clause to perform spreadsheet like calculations. Finally, some aspects of SQL for data warehousing are covered. Students learn the enhancements made to the MERGE statement and they learn how to use the time series enhancements in SQL retrieval statements. Demonstrations and hands-on practices reinforce the concepts and new features presented.

Audience

• Application Developers
• Business Intelligence Developer
• Data Warehouse Developer
• Developer
• Functional Implementer
• PL/SQL Developer
• Support Engineer
• System Analysts

Prerequisites

• Oracle 9i or earlier RDBMS SQL and PL/SQL Knowledge
• SQL*Plus or iSQL*Plus tools

Skills Gained

• Use the Oracle data types and data enhanced data types
• Identify the Large Objects (LOB) enhancements
• Write code that uses the nested table and VARRAY enhancements
• Identify and use the SQL enhancements
• Use Regular Expressions to search for and manipulate complex patterns in string data
• Perform a case-insensitive or accent-insensitive linguistic sort using NLS_SORT
• Perform a linguistic comparison using NLS_COMP
• Identifying the New PL/SQL Compilation Initialization Parameters
• Setting and using the New PL/SQL Compile Time Warnings for Subprograms
• Use conditional compilation
• Obfuscate PL/SQL source code
• Use the SQL model clause
• Use Analytic Functions in the SQL model clause
• Use SQL enhancements for Data Warehousing
• Cleanse data using the DELETE clause
• Densify data with partitioned outer joins

Course Outline

Using Oracle Database 10g Data Types

• Working with the New BINARY_FLOAT and BINARY_DOUBLE Numeric Data Types
• The Floating-Point Special Values
• Using Comparison Operations on Binary-Floats
• Using the Floating-Point Literals
• Using the Floating-Point Functions
• Using Conversion Operations on Binary-Floats
• Examining Binary-Float Performance
• Supporting NCHAR String Literals

Using Large Objects (LOB) Enhancements

• Identifying the Large Objects Enhancements
• Migrating from LONG to LOB
• Using the DBMS_LOB Package
• Initializing, Populating, and Removing LOB Columns
• Selecting CLOB Values by Using SQL and DBMS_LOB
• Conversion Between CLOB and NCLOB
• Data Interface for LOBs in Abstract Data Types and Remote LOBsSupport for LOB Mrray Read and Write

Using Nested Table and VARRAY Enhancements

• Collections: Overview
• Adjusting the Size of an Element Type
• Using the VARRAY LIMIT Size
• Using VARRAY Columns in Temporary Tables
• Changing a Nested Table's Storage Tablespace
• ANSI Support for Nested Tables
• Introducing the Multiset Operators

Using General SQL Enhancements

• Introducing the VERSIONS Clause
• Using the Row Versions Feature
• Using Flashback Query
• Introducing the FLASHBACK TABLE and FLASHBACK DATABASE Statements
• Overview of Table Functions
• Understanding the Enhanced ODCI Functions
• Using Alternative Quotes
• Using the DROP TABLE ... PURGE statement

Using Regular Expressions and Linguistic Sort and Comparison

• Using Regular Expressions Functions, Conditions, and Meta Characters in SQL and OPL/SQL
• Performing a Basic Search Using the REGEXP_LIKE Condition
• Finding Patterns Using the REGEXP_INSTR Function
• Extracting Sub-strings Using the REGEXP_SUBSTR Function
• Replacing Patterns Using the REGEXP_REPLACE Function
• Performing a Case-Insensitive or Accent-Insensitive Linguistic Sort Using
• LS_SORT
• Performing a Linguistic Comparison Using the NLS_COMP Initialization Parameter
• The NLSSORT Function: Case Insensitive and Accent Insensitive Support

Using the New PL/SQL Compiler

• Identifying the New Initialization Parameters for PL/SQL Compilation
• Using the New PL/SQL Compile Time Warnings for Subprograms
• Setting the Warning Messages Levels Using the PLSQL_WARNINGS initialization parameter
• Setting the Warning Messages Levels Using the DBMS_WARNING Package Subprograms
• Viewing the Current Setting of PLSQL_WARNINGS Using SQL*Plus
• Viewing the Current Setting of PLSQL_WARNINGS Using the Data Dictionary Views
• Guidelines for Using PLSQL_WARNINGS
• Viewing the Current Setting of PLSQL_WARNINGS Using the Data Dictionary Views

Programming with PL/SQL Enhancements

• Using Conditional Compilation
• Using the Selection, Inquiry, and Error Directives
• Displaying the PLSQL_CCFLAGS Setting
• Identifying the Database Version and Release Using the DBMS_DB_VERSION Package Boolean Constants
• Using the DBMS_PREPROCESSOR Procedures to Print or Retrieve the PL/SQL ost-Processed Source Text
• Obfuscating (hiding) PL/SQL Source Code
• Bulk Binding: FORALL Support for Sparse Collections and Index Array
• Maintaining Valid PL/SQL Program Units and Views

Using the SQL Model Clause

• Learning the Concepts and Reviewing the Sample Data
• Using Cell and Range References
• Using the CV() Function
• Using the FOR Construct
• Using Analytic Functions in the SQL Model Clause
• Using the UPDATE, UPSERT, and UPSERT ALL Options
• Nested Cell References and Reference Models
• Cyclic Rules in Models, Cycles, and Simultaneous Equations

Using SQL Enhancements for Data Warehousing

• MERGE Improvements and Extensions
• Using Conditional Updates
• Cleansing Data Using the DELETE Clause
• Densifying Data with Partitioned Outer Joins
• Repeating Data Values to Fill Gaps
• Computing Data Values to Fill Gaps
• Time Series Calculations on Densified Data
• Period-to-Period Comparison of One Time Level

Follow On Courses

• Oracle Database 10g: Advanced PL/SQL
• Oracle Database 10g: SQL Tuning Workshop

Oracle SQL 10g: SQL and PL/SQL New Features / D18410GC10