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Java 9 High Performance

You're reading from   Java 9 High Performance Practical techniques and best practices for optimizing Java applications through concurrency, reactive programming, and more

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787120785
Length 398 pages
Edition 1st Edition
Languages
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Authors (2):
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Nick Samoylov Nick Samoylov
Author Profile Icon Nick Samoylov
Nick Samoylov
Mayur Ramgir Mayur Ramgir
Author Profile Icon Mayur Ramgir
Mayur Ramgir
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Toc

Table of Contents (11) Chapters Close

1. Learning Java 9 Underlying Performance Improvements 2. Identifying Performance Bottlenecks FREE CHAPTER 3. Learning How to Troubleshoot Code 4. Learning How to Use Profiling Tools 5. Understanding Garbage Collection and Making Use of It 6. Optimizing Code with Microbenchmarking 7. Speeding Up JSON Generation 8. Tools for Higher Productivity and Faster Application 9. Multithreading and Reactive Programming 10. Microservices 11. Making Use of New APIs to Improve Your Code

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...

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