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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 transactions

Storing data can be a complex operation internally for a database. In some cases, it can include changing the data in a single place, but there are operations that can affect millions of records in a single operation, for example, "update all records created before this timestamp."

How broad and possible these operations are highly depends on the database, but they are very similar to relational databases. In that case, normally there's the concept of a transaction.

A transaction is an operation that happens in one go. It either happens or it doesn't, but the database is not left in an inconsistent state in the middle. For example, if the operation described before of "update all records created before this timestamp" can produce an effect where, through an error, only half of the records are changed, then it's not a transaction, but multiple independent operations.

It can happen that there's an error...

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