Book Image

Oracle Advanced PL/SQL Developer Professional Guide

By : Saurabh K. Gupta
Book Image

Oracle Advanced PL/SQL Developer Professional Guide

By: Saurabh K. Gupta

Overview of this book

PL/SQL (Procedural Language/Structured Query Language) is Oracle Corporation's procedural extension language for SQL and the Oracle relational database. Server-side PL/SQL is stored and compiled in the Oracle Database and runs within the Oracle executable. With this guide Oracle developers can work towards accomplishing Oracle 11g Advanced PL/SQL Professional certification, which is the second milestone for developers working at the Associate level. The Oracle Advanced PL/SQL Developer Professional Guide helps you master advanced PL/SQL concepts. Besides the clear and precise explanation on advanced topics, it also contains example code and demonstrations, which gives a sense of application and usage to readers.The book gives a deep insight that will help transform readers from mid-level programmers to professional database developers. It aims to cover the advanced features of PL/SQL for designing and optimizing PL/SQL code.This book starts with an overview of PL/SQL as the programming database language and outlines the benefits and characteristics of the language. The book then covers the advanced features that include PL/SQL code writing using collections, tuning recommendations using result caching, implementing VPD to enforce row level security, and much more. Apart from programming, the book also dives deep into the usage of the development tool SQL Developer, employing best practices in database environments and safeguarding the vulnerable areas in PL/SQL code to avoid code injection.
Table of Contents (22 chapters)
Oracle Advanced PL/SQL Developer Professional Guide
Credits
Foreword
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 7. Using SecureFile LOBs

Today, the application development has taken a new turn to catch up with the growing business. The application environments employ some of the best strategies to accommodate the varied nature of data. Surveys have revealed an astonishing estimation that the nonstructured data grows annually by 65 percent in a typical enterprise data-based application. This pace is accredited to the growing content digitization, boost up rich user experience, web based structures, and physical file storage requirements.

In the previous chapter, we learned the traditional storage of large objects in Oracle. Since its release in Oracle 8i, they have worked well and served at par with the systems' requirements until Oracle 10g. The earlier LOB storage philosophy was based on certain assumptions which by now, were transformed into limitations. These assumptions were as follows:

  • Size of the large object was expected to be in MBs

  • Large objects would be less transactional

  • No Encryption...