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

Monitoring Threads


There are two ways to monitor threads, programmatically and using the external tools. We have already seen how the result of a worker calculation could be checked. Let's revisit that code. We will also slightly modify our worker implementation:

class MyRunnable03 implements Runnable {
  private String name;
  private double result;
  public String getName(){ return this.name; }
  public double getResult() { return this.result; }
  public void run() {
    this.name = Thread.currentThread().getName();
    double result = IntStream.rangeClosed(1, 100)
      .flatMap(i -> IntStream.rangeClosed(1, 99999))
      .takeWhile(i -> !Thread.currentThread().isInterrupted())
      .asDoubleStream().map(Math::sqrt).average().getAsDouble();
    if(!Thread.currentThread().isInterrupted()){
      this.result = result;
    }
  }
}

For the worker thread identification, instead of custom ID, we now use the thread name assigned automatically at the time of the execution (that is why we...