eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with Spring Cloud:

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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

Get started with mocking and improve your application tests using our Mockito guide:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Get started with Spring and Spring Boot, through the Learn Spring course:

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Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

>> The New “REST With Spring Boot”

Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

You can explore the course here:

>> Learn Spring Security

Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

Get started with Spring Data JPA through the guided reference course:

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of Java:

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Partner – LambdaTest – NPI EA (cat= Testing)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

eBook – Java Concurrency – NPI (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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1. Overview

In this tutorial, we’ll look at the differences between the methods set() and lazySet() of Java atomic classes like AtomicInteger and AtomicReference.

2. Atomic Variables – A Quick Recap

Atomic variables in Java allow us to easily perform thread-safe operations on class references or fields without having to add concurrency primitives like monitors or mutexes.

They’ve defined under the java.util.concurrent.atomic package, and although their APIs are different depending on the atomic type, most of them support the set() and lazySet() methods.

To make things simple, we’ll use AtomicReference and AtomicInteger throughout this article, but the same principles apply to other atomic types.

3. The set() Method

The set() method is equivalent to writing to a volatile field.

After calling set(), when we access the field using the get() method from a different thread, the change is immediately visible. This means that the value was flushed from the CPU cache to a memory layer common to all CPU cores.

To showcase the above functionality, let’s create a minimal producer-consumer console app:

public class Application {

    AtomicInteger atomic = new AtomicInteger(0);

    public static void main(String[] args) {
        Application app = new Application();
        new Thread(() -> {
            for (int i = 0; i < 10; i++) {
                app.atomic.set(i);
                System.out.println("Set: " + i);
                Thread.sleep(100);
            }
        }).start();

        new Thread(() -> {
            for (int i = 0; i < 10; i++) {
                synchronized (app.atomic) {
                    int counter = app.atomic.get();
                    System.out.println("Get: " + counter);
                }
                Thread.sleep(100);
            }
        }).start();
    }
}

In the console, we should see a series of “Set” and “Get” messages:

Set: 3
Set: 4
Get: 4
Get: 5

What indicates cache coherence is the fact that values in the “Get” statements are always equal to or greater than those in the “Set” statements above them.

This behavior, although very useful, comes with a performance hit. It’d be great if we could avoid it in cases where we don’t need the cache coherence.

4. The lazySet() Method

The lazySet() method is the same as the set() method but without the cache flushing.

In other words, our changes are only eventually visible to other threads. This means that calling get() on the updated AtomicReference from a different thread might give us the old value.

To see this in action, let’s change the first thread’s Runnable in our previous console app:

for (int i = 0; i < 10; i++) {
    app.atomic.lazySet(i);
    System.out.println("Set: " + i);
    Thread.sleep(100);
}

The new “Set” and “Get” messages might not always be incrementing:

Set: 4
Set: 5
Get: 4
Get: 5

Due to the nature of threads, we might need a few re-runs of the app in order to trigger this behavior. The fact that the consumer thread retrieves the value 4 first even though the producer thread has set the AtomicInteger to 5 means that the system is eventually consistent when lazySet() is used.

In more technical terms, we say that lazySet() methods don’t act as happens-before edges in the code, in contrast to their set() counterparts.

5. When to Use lazySet()

It’s not immediately clear when we should use lazySet() since its differences with set() are subtle. We need to carefully analyze the problem, not only to make sure that we’ll get a performance boost but also to ensure correctness in a multi-threaded environment.

One way we can use it is to replace an object reference with null once we no longer need it. This way, we indicate that the object is eligible for garbage collection without incurring any performance penalties. We assume that the other threads can work with the deprecated value until they see the AtomicReference is null.

Generally, though, we should use lazySet() when we want to make a change to an atomic variable, and we know that the change doesn’t need to become immediately visible to other threads.

6. Conclusion

In this article, we had a look at the differences between set() and lazySet() methods of atomic classes. We also learned when to use which method.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

>> Explore a clean Baeldung

Once the early-adopter seats are all used, the price will go up and stay at $33/year.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

Explore the eBook

Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

eBook – Java Concurrency – NPI (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook Jackson – NPI EA – 3 (cat = Jackson)