Book Image

Spring Boot 2.0 Projects

By : Mohamed Shazin Sadakath
4 (1)
Book Image

Spring Boot 2.0 Projects

4 (1)
By: Mohamed Shazin Sadakath

Overview of this book

Spring Boot is a lightweight framework that provides a set of tools to create production-grade applications and services. Spring Boot 2.0 Projects is a comprehensive project-based guide for those who are new to Spring, that will get you up to speed with building real-world projects. Complete with clear step-by-step instructions, these easy-to-follow tutorials demonstrate best practices and key insights into building efficient applications with Spring Boot. The book starts off by teaching you how to develop a web application using Spring Boot, followed by giving you an understanding of creating a Spring Boot-based simple blog management system that uses Elasticsearch as the data store. Next, you’ll build a RESTful web services application using Kotlin and the Spring WebFlux framework - a new framework that enables you to create reactive applications in a functional way. Toward the last few chapters, you will build a taxi-hailing API with reactive microservices using Spring Boot, in addition to developing a Twitter clone with the help of a Spring Boot backend. To build on your knowledge further, you’ll also learn how to construct an asynchronous email formatter. By the end of this book, you’ll have a firm foundation in Spring programming and understand how to build powerful, engaging applications in Java using the Spring Boot framework.
Table of Contents (12 chapters)

Chapter 5, Building a Reactive Movie Rating API Using Kotlin

  1. Representational State Transfer (REST) is an architectural style that defines a set of good practices, standards, and properties that can be implemented on top of Hypertext Transfer Protocol (HTTP). A web service that conforms to REST standards enables easy interoperability between devices on the internet.
  2. MongoDB is a free and open source document store that stores data in a schema-less JSON format, which is highly flexible, and each individual document can have different fields. MongoDB allows ad-hoc querying, indexing, and aggregation out of the box.
  3. Kotlin is a programming language for the JVM that has concise syntax, is interoperable, safe, and tool friendly.
  4. The data keyword in Kotlin can be used to mark classes whose sole purpose is to hold and transfer data. Classes with this keyword will get the equals(), hashCode...