Book Image

Java EE 8 Design Patterns and Best Practices

By : Rhuan Rocha, Joao Carlos Purificação
Book Image

Java EE 8 Design Patterns and Best Practices

By: Rhuan Rocha, Joao Carlos Purificação

Overview of this book

Patterns are essential design tools for Java developers. Java EE Design Patterns and Best Practices helps developers attain better code quality and progress to higher levels of architectural creativity by examining the purpose of each available pattern and demonstrating its implementation with various code examples. This book will take you through a number of patterns and their Java EE-specific implementations. In the beginning, you will learn the foundation for, and importance of, design patterns in Java EE, and then will move on to implement various patterns on the presentation tier, business tier, and integration tier. Further, you will explore the patterns involved in Aspect-Oriented Programming (AOP) and take a closer look at reactive patterns. Moving on, you will be introduced to modern architectural patterns involved in composing microservices and cloud-native applications. You will get acquainted with security patterns and operational patterns involved in scaling and monitoring, along with some patterns involved in deployment. By the end of the book, you will be able to efficiently address common problems faced when developing applications and will be comfortable working on scalable and maintainable projects of any size.
Table of Contents (20 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
5
Aspect-Oriented Programming and Design Patterns
Index

Explaining the concept of an asynchronous REST service


Over time, the number of REST applications has grown and many APIs have been created to serve various kinds of services in many environments. In the same way as other applications, some REST applications need asynchronous processes and work with nonblocking processes. 

An asynchronous REST service is an asynchronous process that makes it easier to process threads. In contrast, in a request sent to a server, a new thread can be called to process a nonblocking task, such as operations on a filesystem. JAX-RS supports asynchronous processing in a client API and server API, but the asynchronous rest service is implemented at the server API. This is because it is the server API that provides services. The client API consumes the services and, as a result, we refer to the asynchronous processing in a client API as the asynchronous REST consume.

The client API can be completed through asynchronous invocation, which returns a Future<T> object...