Book Image

Design Patterns and Best Practices in Java

By : Kamalmeet Singh, Adrian Ianculescu, Lucian-Paul Torje
Book Image

Design Patterns and Best Practices in Java

By: Kamalmeet Singh, Adrian Ianculescu, Lucian-Paul Torje

Overview of this book

Having a knowledge of design patterns enables you, as a developer, to improve your code base, promote code reuse, and make the architecture more robust. As languages evolve, new features take time to fully understand before they are adopted en masse. The mission of this book is to ease the adoption of the latest trends and provide good practices for programmers. We focus on showing you the practical aspects of smarter coding in Java. We'll start off by going over object-oriented (OOP) and functional programming (FP) paradigms, moving on to describe the most frequently used design patterns in their classical format and explain how Java’s functional programming features are changing them. You will learn to enhance implementations by mixing OOP and FP, and finally get to know about the reactive programming model, where FP and OOP are used in conjunction with a view to writing better code. Gradually, the book will show you the latest trends in architecture, moving from MVC to microservices and serverless architecture. We will finish off by highlighting the new Java features and best practices. By the end of the book, you will be able to efficiently address common problems faced while developing applications and be comfortable working on scalable and maintainable projects of any size.
Table of Contents (15 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Example project


In the following example, we will show the usage of RxJava in the real-time processing of the temperature received from multiple sensors. The sensor data is provided (randomly generated) by a Spring Boot server. The server is configured to accept the sensor name as a configuration so that we may change it for each instance. We'll start five instances and display warnings on the client side if one of the sensors outputs more than 80 degrees Celsius.

Starting multiple sensors is easily done from bash with the following command:

The server-side code is simple, we have only one REST controller configured to output the sensor data as JSON, as shown in the following code:

@RestController
publicclass SensorController 
{
  @Value("${sensor.name}")
  private String sensorName;
  @RequestMapping(value="/sensor", method=RequestMethod.GET,   
  produces=MediaType.APPLICATION_JSON_VALUE)
  public ResponseEntity<SensorData> sensor() throws Exception 
  {
    SensorData data = new SensorData...