The Power of Multithreading and Concurrency in Java — Part 3

FullStackTips
4 min readAug 5, 2023
Photo by Myriam Jessier on Unsplash

Welcome to Part 3 of our blog series on multithreading and concurrency in Java. In Part 1, we explored the basics of multithreading using the Thread class and the efficient task execution capabilities provided by the ExecutorService. In Part 2, we delved into advanced synchronization mechanisms, coordination utilities, CompletableFuture, and parallel streams. In this final part, we will explore atomic variables, concurrent collections, and the latest enhancements introduced in Java 17. Let's get started!

Ensuring Atomicity with Atomic Variables

When dealing with shared data in a concurrent environment, it’s crucial to ensure atomicity, which means that an operation on the shared data is performed as a single, indivisible unit. Java provides the java.util.concurrent.atomic package, which contains classes for atomic operations on primitive types and object references.

Atomic Integer Example

Let’s take a look at an example using the AtomicInteger class.

import java.util.concurrent.atomic.AtomicInteger;

public class AtomicIntegerExample {
private static final AtomicInteger counter = new AtomicInteger(0);

public static void main(String[] args) {
Thread incrementThread = new Thread(() ->…

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