Book Image

Java: High-Performance Apps with Java 9

By : Mayur Ramgir
Book Image

Java: High-Performance Apps with Java 9

By: Mayur Ramgir

Overview of this book

Java 9 which is one of the most popular application development languages. The latest released version Java 9 comes with a host of new features and new APIs with lots of ready to use components to build efficient and scalable applications. Streams, parallel and asynchronous processing, multithreading, JSON support, reactive programming, and microservices comprise the hallmark of modern programming and are now fully integrated into the JDK. This book focuses on providing quick, practical solutions to enhance your application's performance. You will explore the new features, APIs, and various tools added in Java 9 that help to speed up the development process. You will learn about jshell, Ahead-of-Time (AOT) compilation, and the basic threads related topics including sizing and synchronization. You will also explore various strategies for building microservices including container-less, self-contained, and in-container. This book is ideal for developers who would like to build reliable and high-performance applications with Java. This book is embedded with useful assessments that will help you revise the concepts you have learned in this book. This book is repurposed for this specific learning experience from material from Packt's Java 9 High Performance by Mayur Ramgir and Nick Samoylov
Table of Contents (9 chapters)
Java: High-Performance Apps with Java 9
Credits
Preface

Ahead-of-Time (AOT)


The big claim of Java was write-once-run-anywhere. It was achieved by creating an implementation of Java Runtime Environment (JRE) for practically all platforms, so the bytecode generated once from the source by Java compiler (javac tool) could be executed everywhere where JRE was installed, provided the version of the compiler javac was compatible with the version of JRE.

The first releases of JRE were primarily the interpreters of the bytecode and yielded slower performance than some other languages and their compilers, such as C and C++. However, over time, JRE was improved substantially and now produces quite decent results, on a par with many other popular systems. In big part, it is due to the JIT dynamic compiler that converts the bytecodes of the most frequently used methods to the native code. Once generated, the compiled methods (the platform-specific machine code) is executed as needed without any interpretation, thus decreasing the execution time.

To utilize...