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Mastering Spring 5.0

You're reading from   Mastering Spring 5.0 Master reactive programming, microservices, Cloud Native applications, and more

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787123175
Length 496 pages
Edition 1st Edition
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In28Minutes Official In28Minutes Official
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Table of Contents (14) Chapters Close

Preface 1. Evolution to Spring Framework 5.0 FREE CHAPTER 2. Dependency Injection 3. Building a Web Application with Spring MVC 4. Evolution toward Microservices and Cloud-Native Applications 5. Building Microservices with Spring Boot 6. Extending Microservices 7. Advanced Spring Boot Features 8. Spring Data 9. Spring Cloud 10. Spring Cloud Data Flow 11. Reactive Programming 12. Spring Best Practices 13. Working with Kotlin in Spring

Why is Spring Framework popular?

The first version of Spring Framework was released in March 2004. In the subsequent decade and a half, the use and popularity of Spring Framework only grew.

The important reasons behind the popularity of Spring Framework are as follows:

  • Simplified unit testing--because of dependency injection
  • Reduction in plumbing code
  • Architectural flexibility
  • Keeping up with changing times

Let's discuss each of these in detail.

Simplified unit testing

Earlier versions of EJBs were very difficult to unit test. In fact, it was difficult to run EJBs outside the container (as of version 2.1). The only way to test them was to deploy them in a container.

Spring Framework brought in the concept of Dependency Injection (DI). We will discuss dependency injection in complete detail in Chapter 2, Dependency Injection.

The dependency injection enables unit testing by making it easy to replace the dependencies with their mocks. We do not need to deploy the entire application to unit test it.

Simplifying unit testing has multiple benefits:

  • Programmers are more productive
  • Defects are found earlier so they are less costly to fix
  • Applications have automated unit tests, which can run in Continuous Integration builds, preventing future defects

Reduction in plumbing code

Before Spring Framework, typical J2EE (or Java EE, as it is called now) applications contained a lot of plumbing code. For example: getting a database connection, exception handling code, transaction management code, logging code, and a lot more.

Let's take a look at a simple example of executing a query using prepared statement:

    PreparedStatement st = null;
try {
st = conn.prepareStatement(INSERT_TODO_QUERY);
st.setString(1, bean.getDescription());
st.setBoolean(2, bean.isDone());
st.execute();
}
catch (SQLException e) {
logger.error("Failed : " + INSERT_TODO_QUERY, e);
} finally {
if (st != null) {
try {
st.close();
} catch (SQLException e) {
// Ignore - nothing to do..
}
}
}

In the preceding example, there are four lines of business logic and more than 10 lines of plumbing code.

With Spring Framework, the same logic can be applied in a couple of lines:

    jdbcTemplate.update(INSERT_TODO_QUERY, 
bean.getDescription(), bean.isDone());

How does Spring Framework do this magic?

In the preceding example, Spring JDBC (and Spring, in general) converts most checked exceptions into unchecked exceptions. Typically, when a query fails, there is not a lot we can do--other than to close the statement and fail the transaction. Instead of implementing exception handling in every method, we can have centralized exception handling and inject it in using Spring Aspect-Oriented Programming (AOP).

Spring JDBC removes the need to create all the plumbing code involved in getting a connection, creating a prepared statement, and so on. The jdbcTemplate class can be created in the Spring context and injected into the Data Access Object (DAO) class wherever it is needed.

Similar to the preceding example, Spring JMS, Spring AOP, and other Spring modules help in reducing a lot of plumbing code.

Spring Framework lets the programmer focus on the primary job of a programmer-- writing business logic.

Avoiding all the plumbing code also has another great benefit--reduced duplication in code. Since all code for transaction management, exception handling, and so on (typically, all your cross-cutting concerns) is implemented at one place, it is easier to maintain.

Architectural flexibility

Spring Framework is modular. It is built as a set of independent modules built on top of the core Spring modules. Most of the Spring modules are independent--you can use one of them without having to use others.

Let's look at a few examples:

  • In the web layer, Spring offers a framework of its own--Spring MVC. However, Spring has great support for Struts, Vaadin, JSF, or any web framework of your choice.
  • Spring Beans can provide lightweight implementation for your business logic. However, Spring can be integrated with EJBs as well.
  • In the data layer, Spring simplifies JDBC with its Spring JDBC module. However, Spring has great support for any of your preferred data layer frameworks--JPA, Hibernate (with or without JPA), or iBatis.
  • You have the option of implementing your cross-cutting concerns (logging, transaction management, security, and so on) with Spring AOP. Or, you can integrate with a fully fledged AOP implementation such as AspectJ.

Spring Framework does not want to be the jack-of-all-trades. While focusing on its core job of reducing coupling between different parts of the application and making them testable, Spring provides great integration with frameworks of your choice. This means you have flexibility in your architecture--if you do not want to use a specific framework, you can easily replace it with another.

Keep up with changing times

The first version of Spring Framework focused on making applications testable. However, as time moved on, there were new challenges. Spring Framework managed to evolve and stay ahead of the curve with the flexibility and modules that are offered. A couple of examples are listed as follows:

  • Annotations were introduced in Java 5. Spring Framework (version 2.5 – Nov 2007) was ahead of Java EE in introducing an annotation-based controller model for Spring MVC. Developers using Java EE had to wait until Java EE 6 (Dec 2009 – 2 years) before having comparable functionality.
  • Spring Framework introduced a number of abstractions ahead of Java EE to keep the application decoupled from specific implementation. Caching API provides a case in point. Spring provided a transparent caching support in Spring 3.1. Java EE came up with JSR-107 for JCache (in 2014)--support for which was provided in Spring 4.1.

Another important thing Spring brings in is the umbrella of Spring Projects. Spring Framework is just one of the many projects under Spring Projects. We will discuss the different Spring Projects in a separate section. The following examples illustrate how Spring managed to stay ahead of times with new Spring Projects:

  • Spring Batch defines a new approach to building Java Batch applications. We had to wait until Java EE 7 (June 2013) to have comparable batch application specification in Java EE.
  • As architecture evolved toward Cloud and microservices, Spring came up with new Cloud-oriented Spring Projects. Spring Cloud helps in simplifying the development and deployment of microservices. Spring Cloud Data Flow provides orchestrations around microservice applications.
You have been reading a chapter from
Mastering Spring 5.0
Published in: Jun 2017
Publisher: Packt
ISBN-13: 9781787123175
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