Book Image

Learn Java with Projects

By : Dr. Seán Kennedy, Maaike van Putten
5 (3)
Book Image

Learn Java with Projects

5 (3)
By: Dr. Seán Kennedy, Maaike van Putten

Overview of this book

Learn Java with Projects stands out in the world of Java guides; while some books skim the surface and others get lost in too much detail, this one finds a nice middle ground. You’ll begin by exploring the fundamentals of Java, from its primitive data types through to loops and arrays. Next, you’ll move on to object-oriented programming (OOP), where you’ll get to grips with key topics such as classes, objects, encapsulation, inheritance, polymorphism, interfaces, and more. The chapters are designed in a way that focuses on topics that really matter in real-life work situations. No extra fluff here, so that you get more time to spend on the basics and form a solid foundation. As you make progress, you’ll learn advanced topics including generics, collections, lambda expressions, streams and concurrency. This book doesn't just talk about theory—it shows you how things work with little projects, which eventually add up to one big project that brings it all together. By the end of this Java book, you’ll have sound practical knowledge of Java and a helpful guide to walk you through the important parts of Java.
Table of Contents (22 chapters)
1
Part 1: Java Fundamentals
9
Part 2: Object-Oriented Programming
15
Part 3: Advanced Topics

Threading problems

When working with concurrency, we have the opportunity to increase performance! However, with great power comes great responsibility; things can go awfully wrong as well. Therefore, we must be aware of several potential problems that can arise due to incorrect or inefficient synchronization. Let’s discuss four common threading problems: data races, race conditions, deadlocks, livelocks, and starvation.

Data races

We have just talked quite a bit about data races already. They occur when two or more threads access shared data concurrently, and at least one of them modifies the data, leading to unpredictable results. Here’s an example of an innocent-looking snippet of code that can lead to a data race in multithreaded environments:

class Counter {    private int count = 0;
    public void increment() {
        count++;
    }
   &...