Book Image

Java 11 Cookbook - Second Edition

By : Nick Samoylov, Mohamed Sanaulla
Book Image

Java 11 Cookbook - Second Edition

By: Nick Samoylov, Mohamed Sanaulla

Overview of this book

For more than three decades, Java has been on the forefront of developing robust software that has helped versatile businesses meet their requirements. Being one of the most widely used programming languages in history, it’s imperative for Java developers to discover effective ways of using it in order to take full advantage of the power of the latest Java features. Java 11 Cookbook offers a range of software development solutions with simple and straightforward Java 11 code examples to help you build a modern software system. Starting with the installation of Java, each recipe addresses various problem by explaining the solution and offering insights into how it works. You’ll explore the new features added to Java 11 that will make your application modular, secure, and fast. The book contains recipes on functional programming, GUI programming, concurrent programming, and database programming in Java. You’ll also be taken through the new features introduced in JDK 18.3 and 18.9. By the end of this book, you’ll be equipped with the skills required to write robust, scalable, and optimal Java code effectively.
Table of Contents (18 chapters)

Introduction

Memory management is the process of memory allocation for program execution and memory reuse after some of the allocated memory is not used anymore. In Java, this process is called garbage collection (GC). The effectiveness of GC affects two major application characteristics—responsiveness and throughput.

Responsiveness is measured by how quickly an application responds to the request. For example, how quickly a website returns a page or how quickly a desktop application responds to an event. Naturally, the lower the response time, the better the user experience, which is the goal for many applications.

Throughput indicates the amount of work an application can do in a unit of time. For example, how many requests a web application can serve or how many transactions a database can support. The bigger the number, the more value the application can potentially...