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Developing Robust Date and Time Oriented Applications in Oracle Cloud

You're reading from  Developing Robust Date and Time Oriented Applications in Oracle Cloud

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781804611869
Pages 464 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Michal Kvet Michal Kvet
Profile icon Michal Kvet

Table of Contents (26) Chapters

Preface 1. Part 1: Discovering Oracle Cloud
2. Chapter 1: Oracle Cloud Fundamentals 3. Chapter 2: Data Loading and Migration Perspectives 4. Part 2: Understanding the Roots of Date and Time
5. Chapter 3: Date and Time Standardization Principles 6. Chapter 4: Concepts of Temporality 7. Part 3: Modeling, Storing, and Managing Date and Time
8. Chapter 5: Modeling and Storage Principles 9. Chapter 6: Conversion Functions and Element Extraction 10. Chapter 7: Date and Time Management Functions 11. Chapter 8: Delving into National Language Support Parameters 12. Part 4: Modeling Validity Intervals
13. Chapter 9: Duration Modeling and Calculations 14. Chapter 10: Interval Representation and Type Relationships 15. Chapter 11: Temporal Database Concepts 16. Chapter 12: Building Month Calendars Using SQL and PL/SQL 17. Part 5: Building Robust and Secure Temporal Solutions
18. Chapter 13: Flashback Management for Reconstructing the Database Image 19. Chapter 14: Building Reliable Solutions to Avoid SQL Injection 20. Part 6: Expanding a Business Worldwide Using Oracle Cloud
21. Chapter 15: Timestamp Enhancements 22. Chapter 16: Oracle Cloud Time Zone Reflection 23. Assessments 24. Index 25. Other Books You May Enjoy

Storing the date as an INTEGER value

In some cases, I have seen date modeling implemented as an integer in business applications. It is mostly the result of formal date management in Oracle RDBMS, where time elements do not need to be considered. It is assumed that the storage requirements can be lowered by using appropriate numeric value sizing. Moreover, if function-based indexes are applied to numeric date modeling, then the performance of the element extraction can be ensured.

On the other hand, there can be significant issues related to the processing. Firstly, the representation strongly depends on the positional element models. Typically, when represented by the DATE value, separators (mappers) are present, dividing individual elements. However, let’s look at a simple numerical value passing the format DDMMYYYY. The previously stated separator management principle cannot be used, resulting in a possible loss of reliability. Let’s consider the example of 1st...

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