You're reading from Learn Java 17 Programming Learn the fundamentals of Java Programming with this updated guide with the latest features

Product type Paperback

Published in Jul 2022

Publisher Packt

ISBN-13 9781803241432

Length 748 pages

Edition 2nd Edition

Languages

Java

Tools

Java design patterns

Concepts

Object Oriented Programming

Author (1):

Nick Samoylov

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Table of Contents (23) Chapters

Preface

1. Part 1: Overview of Java Programming

2. Chapter 1: Getting Started with Java 17 FREE CHAPTER

3. Chapter 2: Java Object-Oriented Programming (OOP)

4. Chapter 3: Java Fundamentals

5. Part 2: Building Blocks of Java

6. Chapter 4: Exception Handling

7. Chapter 5: Strings, Input/Output,and Files

8. Chapter 6: Data Structures, Generics, and Popular Utilities

9. Chapter 7: Java Standard and External Libraries

10. Chapter 8: Multithreading and Concurrent Processing

11. Chapter 9: JVM Structure and Garbage Collection

12. Chapter 10: Managing Data in a Database

13. Chapter 11: Network Programming

14. Chapter 12: Java GUI Programming

15. Part 3: Advanced Java

16. Chapter 13: Functional Programming

17. Chapter 14: Java Standard Streams

18. Chapter 15: Reactive Programming

19. Chapter 16: Java Microbenchmark Harness

20. Chapter 17: Best Practices for Writing High-Quality Code

21. Assessments

22. Other Books You May Enjoy

Chapter 16: Java Microbenchmark Harness

In this chapter, you will learn about a Java Microbenchmark Harness (JMH) project that allows measuring various code performance characteristics. If performance is an important issue for your application, this tool can help you to identify bottlenecks with precision—up to the method level.

In addition to theoretical knowledge, you will have a chance to run JMH using practical demo examples and recommendations.

The following topics will be covered in this chapter:

What is JMH?
Creating a JMH benchmark
Running the benchmark
Using the IDE plugin
JMH benchmark parameters
JMH usage examples

By the end of the chapter, you will be able to not only measure the average execution time of an application and other performance values (such as throughput, for example) but also to do it in a controlled manner—with or without the JVM optimizations, warm-up runs, and...