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Mastering Spring Boot 3.0

You're reading from   Mastering Spring Boot 3.0 A comprehensive guide to building scalable and efficient backend systems with Java and Spring

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781803230788
Length 256 pages
Edition 1st Edition
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Author (1):
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Ahmet Meric Ahmet Meric
Author Profile Icon Ahmet Meric
Ahmet Meric
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Architectural Foundations
2. Chapter 1: Introduction to Advanced Spring Boot Concepts FREE CHAPTER 3. Part 2: Architectural Patterns and Reactive Programming
4. Chapter 2: Key Architectural Patterns in Microservices – DDD, CQRS, and Event Sourcing 5. Chapter 3: Reactive REST Development and Asynchronous Systems 6. Part 3: Data Management, Testing, and Security
7. Chapter 4: Spring Data: SQL, NoSQL, Cache Abstraction, and Batch Processing 8. Chapter 5: Securing Your Spring Boot Applications 9. Chapter 6: Advanced Testing Strategies 10. Part 4: Deployment, Scalability, and Productivity
11. Chapter 7: Spring Boot 3.0 Features for Containerization and Orchestration 12. Chapter 8: Exploring Event-Driven Systems with Kafka 13. Chapter 9: Enhancing Productivity and Development Simplification 14. Index 15. Other Books You May Enjoy

The relation of Event Sourcing with CQRS

We mentioned, at the beginning of Event Sourcing section, that we will discover how CQRS fits into the larger picture, so let’s now combine all of the concepts we learned in the previous sections. Alright! Basically, with CQRS, the way you write data is different from how you read it. In the past, you might have just used one database for everything. You could do operations such as inserting data and then get it right back out of the same place, and that works fine if you’re just doing basic create, read, update, and delete operations. But sometimes you might want to scale how much you can write versus read separately. Or maybe you need different views of the data for reading versus writing. That’s where CQRS comes in.

Figure 2.8 shows how commands and queries interact with the database:

Figure 2.8: Representation of CQRS pattern

Figure 2.8: Representation of CQRS pattern

The basic idea is that you split up how you write data from...

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