Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat= Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat=Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag=Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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.

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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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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:

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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 – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

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Partner – LambdaTest – NPI EA (cat=Testing)
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Accessibility testing is a crucial aspect to ensure that your application is usable for everyone and meets accessibility standards that are required in many countries.

By automating these tests, teams can quickly detect issues related to screen reader compatibility, keyboard navigation, color contrast, and other aspects that could pose a barrier to using the software effectively for people with disabilities.

Learn how to automate accessibility testing with Selenium and the LambdaTest cloud-based testing platform that lets developers and testers perform accessibility automation on over 3000+ real environments:

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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 dive into the details of the AtomicMarkableReference class from the java.util.concurrent.atomic package.

Next, we’ll walk through the API methods of the class, and we’ll see how we can use the AtomicMarkableReference class in practice.

2. Purpose

AtomicMarkableReference is a generic class that encapsulates both a reference to an Object and a boolean flag. These two fields are coupled together and can be updated atomically, either together or individually.

AtomicMarkableReference could also be a possible remedy against the ABA problem

3. Implementation

Let’s take a more in-depth look at the AtomicMarkableReference class implementation:

public class AtomicMarkableReference<V> {

    private static class Pair<T> {
        final T reference;
        final boolean mark;
        private Pair(T reference, boolean mark) {
            this.reference = reference;
            this.mark = mark;
        }
        static <T> Pair<T> of(T reference, boolean mark) {
            return new Pair<T>(reference, mark);
        }
    }

    private volatile Pair<V> pair;

    // ...
}

Notice that AtomicMarkableReference has a static nested class Pair that holds the reference and flag.

Also, we see that both variables are final. As a result, whenever we want to modify these variables, a new instance of the Pair class is created, and the old instance is replaced.

4. Methods

First of all, to discover AtomicMarkableReference‘s usefulness, let’s start by creating an Employee POJO:

class Employee {
    private int id;
    private String name;
    
    // constructor & getters & setters
}

Now, we can create an instance of the AtomicMarkableReference class:

AtomicMarkableReference<Employee> employeeNode 
  = new AtomicMarkableReference<>(new Employee(123, "Mike"), true);

For our examples, let’s suppose that our AtomicMarkableReference instance represents a node in an organization chart. It is holding the two variables: the reference to an instance of the Employee class and a mark that indicates if the employee is active or has left the company.

AtomicMarkableReference comes with several methods to update or retrieve either one or both fields. Let’s have a look at these methods one by one:

4.1. getReference()

We use the getReference method to return the current value of the reference variable:

Employee employee = new Employee(123, "Mike");
AtomicMarkableReference<Employee> employeeNode = new AtomicMarkableReference<>(employee, true);

Assertions.assertEquals(employee, employeeNode.getReference());

4.2. isMarked()

To get the value of the mark variable, we should call the isMarked method:

Employee employee = new Employee(123, "Mike");
AtomicMarkableReference<Employee> employeeNode = new AtomicMarkableReference<>(employee, true);

Assertions.assertTrue(employeeNode.isMarked());

4.3. get()

Next, we use the get method when we want to retrieve both the current reference and the current mark. To get the mark, we should send as a parameter a boolean array of size at least one, which will store at index 0 the current value of the boolean variable. At the same time, the method will return the current value of the reference:

Employee employee = new Employee(123, "Mike");
AtomicMarkableReference<Employee> employeeNode = new AtomicMarkableReference<>(employee, true);

boolean[] markHolder = new boolean[1];
Employee currentEmployee = employeeNode.get(markHolder);

Assertions.assertEquals(employee, currentEmployee);
Assertions.assertTrue(markHolder[0]);

This way of getting both the reference and the mark fields is a little odd because the inner Pair class is not exposed to the caller.

Java doesn’t have a generic Pair<T, U> class in its public API. The main reason for this is that we may be tempted to overuse it instead of creating distinct types.

4.4. set()

In case we want to update both the reference and the mark fields unconditionally, we should use the set method. If at least one of the values sent as a parameter is different, the reference and the mark will be updated:

Employee employee = new Employee(123, "Mike");
AtomicMarkableReference<Employee> employeeNode = new AtomicMarkableReference<>(employee, true);

Employee newEmployee = new Employee(124, "John");
employeeNode.set(newEmployee, false);
        
Assertions.assertEquals(newEmployee, employeeNode.getReference());
Assertions.assertFalse(employeeNode.isMarked());

4.5. compareAndSet()

Next, the compareAndSet method updates both the reference and the mark to the given updated values if the current reference is equal to the expected reference, and the current mark is equal to the expected mark.

Now, let’s see how we can update both reference and mark fields using compareAndSet:

Employee employee = new Employee(123, "Mike");
AtomicMarkableReference<Employee> employeeNode = new AtomicMarkableReference<>(employee, true);
Employee newEmployee = new Employee(124, "John");

Assertions.assertTrue(employeeNode.compareAndSet(employee, newEmployee, true, false));
Assertions.assertEquals(newEmployee, employeeNode.getReference());
Assertions.assertFalse(employeeNode.isMarked());

Also, when calling the compareAndSet method, we get true if the fields were updated or false if the update failed.

4.6. weakCompareAndSet()

The weakCompareAndSet method should be a weaker version of the compareAndSet method. That is, it doesn’t provide strong memory ordering guarantees just like compareAndSet. Also, it may fail spuriously to get exclusive access at the hardware level.

This is the specification for the weakCompareAndSet method. However, currently, the weakCompareAndSet simply calls the compareAndSet method under-the-hoodSo, they have the same strong implementation.

Even though these two methods have the same implementation right now, we should use them based on their specifications. Therefore, we should consider weakCompareAndSet as a weak atomic.

Weak atomics can be less expensive on some platforms and in some circumstances. For instance, if we’re going to perform a compareAndSet in a loop, it may be a better idea to use the weaker version. In this case, we’ll eventually update the state as we’re in a loop, so spurious failures won’t affect the program’s correctness.

The bottom line is, weak atomics can be useful in some specific use-cases and, consequently, aren’t applicable to every possible scenario. So, when in doubt, prefer the stronger compareAndSet.

4.7. attemptMark()

Finally, we have the attemptMark method. It checks whether the current reference is equal to an expected reference sent as a parameter. If they match, it sets the value of the mark atomically to the given updated value:

Employee employee = new Employee(123, "Mike");
AtomicMarkableReference<Employee> employeeNode = new AtomicMarkableReference<>(employee, true);

Assertions.assertTrue(employeeNode.attemptMark(employee, false));
Assertions.assertFalse(employeeNode.isMarked());

It’s important to note that this method may fail spuriously even if the expected and current reference are equal. As a result, we should pay attention to the boolean returned by the method execution.

The result is true if the mark was updated successfully, or false otherwise. However, repeated invocation when the current reference is equal to the expected reference will modify the mark value. As a result, it is advisable to use this method inside a while loop structure.

This failure may occur as a result of the underlying compare-and-swap (CAS) algorithm used by the attemptMark method to update the fields. If we have multiple threads that are trying to update the same value using CAS, one of them manages to change the value, and the other ones are notified that the update failed.

5. Conclusion

In this quick guide, we learned how the AtomicMarkableReference class is implemented. Moreover, we discovered how we could update its properties atomically by going through the class’s public API methods.

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.

Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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:

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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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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Course – LS – NPI EA (cat=REST)

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

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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)