Book Image

Hands-On High Performance with Spring 5

By : Chintan Mehta, Subhash Shah, Pritesh Shah, Prashant Goswami, Dinesh Radadiya
Book Image

Hands-On High Performance with Spring 5

By: Chintan Mehta, Subhash Shah, Pritesh Shah, Prashant Goswami, Dinesh Radadiya

Overview of this book

While writing an application, performance is paramount. Performance tuning for real-world applications often involves activities geared toward detecting bottlenecks. The recent release of Spring 5.0 brings major advancements in the rich API provided by the Spring framework, which means developers need to master its tools and techniques to achieve high performance applications. Hands-On High Performance with Spring 5 begins with the Spring framework's core features, exploring the integration of different Spring projects. It proceeds to evaluate various Spring specifications to identify those adversely affecting performance. You will learn about bean wiring configurations, aspect-oriented programming, database interaction, and Hibernate to focus on the metrics that help identify performance bottlenecks. You will also look at application monitoring, performance optimization, JVM internals, and garbage collection optimization. Lastly, the book will show you how to leverage the microservice architecture to build a high performance and resilient application. By the end of the book, you will have gained an insight into various techniques and solutions to build and troubleshoot high performance Spring-based applications.
Table of Contents (14 chapters)

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...