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

Filtering Streams


The java.util.streams.Stream interface was introduced in Java 8. It emits elements and supports a variety of operations that perform computations based on these elements. A stream can be finite or infinite, slow or fast emitting. Naturally, there is always a concern that the rate of the newly emitted elements may be higher than the rate of the processing. Besides, the ability to keep up with the input reflects the application's performance. The Stream implementations address the backpressure (when the rate of the element processing is lower than their emitting rate) by adjusting the emitting and processing rates using a buffer and various other techniques. In addition, it is always helpful if an application developer makes sure that the decision about processing or skipping each particular element is made as early as possible so that the processing resources are not wasted. Depending on the situation, different operations can be used for filtering the data.

Basic Filtering...