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Hands-On High Performance with Spring 5

You're reading from   Hands-On High Performance with Spring 5 Techniques for scaling and optimizing Spring and Spring Boot applications

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788838382
Length 408 pages
Edition 1st Edition
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Authors (5):
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Subhash Shah Subhash Shah
Author Profile Icon Subhash Shah
Subhash Shah
Chintan Mehta Chintan Mehta
Author Profile Icon Chintan Mehta
Chintan Mehta
Dinesh Radadiya Dinesh Radadiya
Author Profile Icon Dinesh Radadiya
Dinesh Radadiya
Pritesh Shah Pritesh Shah
Author Profile Icon Pritesh Shah
Pritesh Shah
Prashant Goswami Prashant Goswami
Author Profile Icon Prashant Goswami
Prashant Goswami
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Table of Contents (14) Chapters Close

Preface 1. Exploring Spring Concepts FREE CHAPTER 2. Spring Best Practices and Bean Wiring Configurations 3. Tuning Aspect-Oriented Programming 4. Spring MVC Optimization 5. Understanding Spring Database Interactions 6. Hibernate Performance Tuning and Caching 7. Optimizing Spring Messaging 8. Multithreading and Concurrent Programming 9. Profiling and Logging 10. Application Performance Optimization 11. Inside JVM 12. Spring Boot Microservice Performance Tuning 13. Other Books You May Enjoy

Introduction to Spring Hibernate and Spring Data

As we saw in previous chapters, Java Database Connectivity (JDBC) exposes an API that hides the database vendor-specific communication. However, it suffers from the following limitations:

  • JDBC development is very much verbose, even for trivial tasks
  • JDBC batching requires a specific API and is not transparent
  • JDBC does not provide built-in support for explicit locking and optimistic concurrency control
  • There is a need to handle transactions explicitly, with lots of duplicate code
  • Joined queries require additional processing to transform the ResultSet into domain models, or data transfer objects (DTO)

Almost all limitations of JDBC are covered by ORM frameworks. ORM frameworks provide for object mapping, lazy loading, eager loading, managing resources, cascading, error handling, and other services at the data access layer. One...

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