Book Image

Learn Java 12 Programming

By : Nick Samoylov
Book Image

Learn Java 12 Programming

By: Nick Samoylov

Overview of this book

Java is one of the preferred languages among developers, used in everything right from smartphones, and game consoles to even supercomputers, and its new features simply add to the richness of the language. This book on Java programming begins by helping you learn how to install the Java Development Kit. You will then focus on understanding object-oriented programming (OOP), with exclusive insights into concepts like abstraction, encapsulation, inheritance, and polymorphism, which will help you when programming for real-world apps. Next, you’ll cover fundamental programming structures of Java such as data structures and algorithms that will serve as the building blocks for your apps. You will also delve into core programming topics that will assist you with error handling, debugging, and testing your apps. As you progress, you’ll move on to advanced topics such as Java libraries, database management, and network programming, which will hone your skills in building professional-grade apps. Further on, you’ll understand how to create a graphic user interface using JavaFX and learn to build scalable apps by taking advantage of reactive and functional programming. By the end of this book, you’ll not only be well versed with Java 10, 11, and 12, but also gain a perspective into the future of this language and software development in general.
Table of Contents (25 chapters)
Free Chapter
Section 1: Overview of Java Programming
Section 2: Building Blocks of Java
Section 3: Advanced Java

What is JMH?

According to the dictionary, a benchmark is a standard or point of reference against which things may be compared or assessed. In programming, it is the way to compare the performance of applications, or just methods. The micro preface is focused on the latter—the smaller code fragments rather than an application as a whole. The JMH is a framework for measuring the performance of a single method.

That may appear to be very useful. Can we not just run a method a thousand or a hundred thousand times in a loop, measure how long it took, and then calculate the average of the method performance? We can. The problem is that JVM is a much more complicated program than just a code-executing machine. It has optimization algorithms focused on making the application code run as fast as possible.

For example, let's look at the following class:

class SomeClass {