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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 A comprehensive guide to efficient date and time management in Oracle Cloud

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804611869
Length 464 pages
Edition 1st Edition
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Author (1):
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Michal Kvet Michal Kvet
Author Profile Icon Michal Kvet
Michal Kvet
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Table of Contents (26) Chapters Close

Preface 1. Part 1: Discovering Oracle Cloud
2. Chapter 1: Oracle Cloud Fundamentals FREE CHAPTER 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

Understanding SQL Loader

SQL Loader is a tool for inserting third-party system data in various format types, such as CSV, TXT, or any delimited format. The structure of the data is defined by the associated control file controlling the mapping. SQL Loader is a user (client) process defined by the extraction of data rows in the first phase, followed by loading tuples. The loading process can be done conventionally (the insert statements are generated with regard to the UNDO and REDO data logs) or via a direct path (in this case, the buffer cache is bypassed, and data is loaded directly into the data files in a block format). No UNDO data log content is generated. The High Water Mark (HWM) pointer is shifted to point to another location after processing, making new blocks with data accessible to the table structure. The HWM pointer references the last associated block of the particular table. Thus, the direct path type is significantly faster and requires less storage (even REDO logging...

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