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Spring Boot 3.0 Cookbook

You're reading from   Spring Boot 3.0 Cookbook Proven recipes for building modern and robust Java web applications with Spring Boot

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835089491
Length 426 pages
Edition 1st Edition
Languages
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Author (1):
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Mr. Felip Miguel Puig Mr. Felip Miguel Puig
Author Profile Icon Mr. Felip Miguel Puig
Mr. Felip Miguel Puig
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Table of Contents (16) Chapters Close

Preface 1. Part 1:Web Applications and Microservices FREE CHAPTER
2. Chapter 1: Building RESTful APIs 3. Chapter 2: Securing Spring Boot Applications with OAuth2 4. Chapter 3: Observability, Monitoring, and Application Management 5. Chapter 4: Spring Cloud 6. Part 2: Database Technologies
7. Chapter 5: Data Persistence and Relational Database Integration with Spring Data 8. Chapter 6: Data Persistence and NoSQL Database Integration with Spring Data 9. Part 3: Application Optimization
10. Chapter 7: Finding Bottlenecks and Optimizing Your Application 11. Chapter 8: Spring Reactive and Spring Cloud Stream 12. Part 4: Upgrading to Spring Boot 3 from Previous Versions
13. Chapter 9: Upgrading from Spring Boot 2.x to Spring Boot 3.0 14. Index 15. Other Books You May Enjoy

Tuning the database connection pool

Database connections are an expensive resource that can take some time when they’re created for the first time. For that reason, Spring Boot uses a technique known as connection pooling. When a connection pool is used, the application doesn’t create a direct connection to the database; instead, it requests an available connection to the connection pool. When the application doesn’t need a connection, it returns it to the pool. The connection pool usually creates some connections at the start of the application. When the connections are returned to the pool, they are not closed but reused by other parts of the application.

A common challenge when operating applications is deciding on the connection pool size. If the size is too small, under a certain load, some requests will take longer as they wait for a connection to become available in the pool. If the connection pool is too large, it will waste resources in the database...

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