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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
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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

Using Native Queries

JPQL is a very powerful mechanism to access relational databases with an abstraction of the underlying database. Native Queries refers to executing SQL statements directly against the database. Depending on your requirements you might consider using Native queries, for instances like:

  • Executing complex SQL operations that are not easily expressible in JPQL, for instance, queries that involve subqueries or database-specific functions.
  • When you need to fine-tune the performance of a query, leveraging database-specific optimizations, indexes, and hints to improve the query execution time.
  • Database-specific features, for instance, the databases that can manage JSON structures, may have different ways of doing it.
  • Bulk Operations: Native queries are often more efficient for executing bulk insert, update, or delete operations on a large number of records, as they bypass the overhead of entity management and caching that comes with JPQL.

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