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Spring 5 Design Patterns

You're reading from   Spring 5 Design Patterns Master efficient application development with patterns such as proxy, singleton, the template method, and more

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788299459
Length 396 pages
Edition 1st Edition
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Author (1):
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Dinesh Rajput Dinesh Rajput
Author Profile Icon Dinesh Rajput
Dinesh Rajput
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Spring Framework 5.0 and Design Patterns 2. Overview of GOF Design Patterns - Core Design Patterns FREE CHAPTER 3. Consideration of Structural and Behavioral Patterns 4. Wiring Beans using the Dependency Injection Pattern 5. Understanding the Bean Life Cycle and Used Patterns 6. Spring Aspect Oriented Programming with Proxy and Decorator pattern 7. Accessing a Database with Spring and JDBC Template Patterns 8. Accessing Database with Spring ORM and Transactions Implementing Patterns 9. Improving Application Performance Using Caching Patterns 10. Implementing the MVC Pattern in a Web Application using Spring 11. Implementing Reactive Design Patterns 12. Implementing Concurrency Patterns

Summary


An application without data is like a car without fuel. Data is the heart of an application. Some applications may exist in the world without data, but these applications are simply showcase applications such as static blogs. Data is an important part of an application, and you need to develop data-access code for your application. This code should very simple, robust, and customizable.

In a traditional Java application, you could use JDBC to access the data. It is a very basic way, but sometimes, it is very messy to define specifications, handle JDBC exceptions, make database connections, load drivers, and so on. Spring simplifies these things by removing the boilerplate code and simplifying JDBC exception handling. You just write your SQL that should be executed in the application, and the rest is managed by the Spring framework.

In this chapter, you have seen how Spring provides support at the backend for data access and data persistence. JDBC is useful, but using the JDBC API directly...

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