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Python Architecture Patterns

You're reading from   Python Architecture Patterns Master API design, event-driven structures, and package management in Python

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801819992
Length 594 pages
Edition 1st Edition
Languages
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture 2. Part I: Design FREE CHAPTER
3. API Design 4. Data Modeling 5. The Data Layer 6. Part II: Architectural Patterns
7. The Twelve-Factor App Methodology 8. Web Server Structures 9. Event-Driven Structures 10. Advanced Event-Driven Structures 11. Microservices vs Monolith 12. Part III: Implementation
13. Testing and TDD 14. Package Management 15. Part IV: Ongoing operations
16. Logging 17. Metrics 18. Profiling 19. Debugging 20. Ongoing Architecture 21. Other Books You May Enjoy
22. Index

Database migrations

An unavoidable fact of development is that software systems are always changing. While the pace of changes in the database is typically not as fast as other areas, there are still changes and they need to be treated carefully.

Data changes are roughly categorized into two different kinds:

  • Format or schema changes: New elements, like fields or tables, to be added or removed; or changes in the format of some fields.
  • Data changes: Requiring changing the data itself, without modifying the format. For example, normalizing an address field including the zip code, or making a string field uppercase.

Backward compatibility

The basic principle related to changes in the database is backward compatibility. This means that any single change in the database needs to work without any change in the code.

This allows you to make changes without interrupting the service. If the changes in the database require a change in the code...

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