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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.

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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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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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eBook – Persistence – NPI EA (cat=Persistence)
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eBook – RwS – NPI EA (cat=Spring MVC)
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Course – LS – NPI EA (cat=Jackson)
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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:

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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.

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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.

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Course – LJB – NPI EA (cat = Core 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

1. Introduction

In this article, we’ll explore ways to consistently set a property to null when mapping objects with MapStruct.

2. Creating the Models

To illustrate mapping, we’ll create two model classes: one that represents a persisted entity, article, and another that represents an article update object.

First, the persisted Article class:

public class Article {
    private String id;
    private String reviewedBy;

    // no-arg and all-arg constructors
    // getters and setters
}

And the ArticleDTO class, which mutates an entity:

public class ArticleDTO {
    private String title;

    // no-arg and all-arg constructors
    // getters and setters
}

The idea is that each time we update an article using the ArticleDTO, we also update the Article’s reviewedBy field to null.

3. Mapping an ArticleDTO to Article

We’ll use MapStruct to map the DTO to a new entity that we want to save. The first step is to create the ArticleMapper interface annotated with @Mapper:

@Mapper
public interface ArticleMapper {
}

With that, we can add abstract mapper methods to it, and MapStruct will automatically generate the implementation for us.

3.1. Using the expression Property

MapStruct allows us to define Java expressions as strings in our mappers, so it will copy that same expression into the generated implementation code. Hence, one way to set reviewedBy to null is to define an expression that evaluates to null:

@Mapping(target = "title", source = "dto.title")
@Mapping(target = "id", source = "persisted.id")
@Mapping(target = "reviewedBy", expression = "java(null)")
Article toArticleUsingExpression(ArticleDTO dto, Article persisted);

We can also do that by creating a custom default method that returns null:

@Mapping(target = "title", source = "dto.title")
@Mapping(target = "id", source = "persisted.id")
@Mapping(target = "reviewedBy", expression = "java(getReviewedBy())")
Article toArticleUsingExpressionMethod(ArticleDTO dto, Article persisted);

default String getReviewedBy() {
    return null;
}

Both achieve the same functionality, as noted with the test:

@Test
void givenArticleDTO_whenToArticleUsingExpression_thenReturnsArticleWithNullStatus() {
    Article oldArticle1 = new Article("Title 1", "John Doe");
    Article oldArticle2 = new Article("Title 2", "John Doe");

    Article result1 = articleMapper.toArticleUsingExpression(new ArticleDTO("Updated article title"), oldArticle1);
    Article result2 = articleMapper.toArticleUsingExpressionMethod(new ArticleDTO("Updated article title"), oldArticle2);

    assertThat(result1.getReviewedBy()).isNull();
    assertThat(result2.getReviewedBy()).isNull();
    assertThat(result1.getTitle()).isEqualTo("Updated article title");
    assertThat(result2.getTitle()).isEqualTo("Updated article title");
}

The expression using the getReviewedBy() method could be more advantageous if we need to apply any additional logic before returning the null value, favoring reusability.

3.2. Using the qualifiedBy Property

Similarly to expression, we can favor reusability and define a default named method that returns null. Then, we can use it in the qualifiedBy property in the @Mapping annotation:

@Mapping(target = "title", source = "dto.title")
@Mapping(target = "id", source = "persisted.id")
@Mapping(target = "reviewedBy", qualifiedByName = "toNull")
Article toArticleUsingQualifiedBy(ArticleDTO dto, Article persisted);

@Named("toNull")
default String mapToNull(String property) {
    return null;
}

With qualifiedByName, we can name a method using @Named and reuse it in the annotated mapper method. Notably, we named our method toNull and passed it to the @Mapping annotation. That also gives us the correct result:

@Test
void givenArticleDTO_whenToArticleUsingQualifiedBy_thenReturnsArticleWithNullStatus() {
    Article oldArticle1 = new Article("Title 1", "John Doe");

    Article result1 = articleMapper.toArticleUsingQualifiedBy(new ArticleDTO("Updated article 1 title"), oldArticle1);

    assertThat(result1.getReviewedBy()).isNull();
    assertThat(result1.getTitle()).isEqualTo("Updated article 1 title");
}

3.3. Using the ignore Property

We can also use the ignore property of the Mapper annotation to ignore its serialization. Thus, since the target object is a new one created by MapStruct, and all its fields are initialized as null, then ignoring a property will leave its fields with the null value.

To do that, we can modify our mapper to:

@Mapping(target = "title", source = "dto.title")
@Mapping(target = "id", source = "persisted.id")
@Mapping(target = "reviewedBy", ignore = true)
Article toArticleUsingIgnore(ArticleDTO dto, Article persisted);

That also gives us the correct result:

@Test
void givenArticleDTO_whenToArticleUsingIgnore_thenReturnsArticleWithNullReviewedBy() {
    Article oldArticle1 = new Article("Title 1", "John Doe");

    Article result1 = articleMapper.toArticleUsingIgnore(new ArticleDTO("Updated article 1 title"), oldArticle1);

    assertThat(result1.getReviewedBy()).isNull();
    assertThat(result1.getTitle()).isEqualTo("Updated article 1 title");
}

3.4. Using the @AfterMapping Annotation

MapStruct lets us define a default method to run after mapping completes using the @AfterMapping annotation. Hence, we can define an annotated method that sets the reviewedBy field to null when the mapping target is of Article type:

@AfterMapping
default void setNullReviewedBy(@MappingTarget Article article) {
    article.setReviewedBy(null);
}

@Mapping(target = "title", source = "dto.title")
@Mapping(target = "id", source = "persisted.id")
Article toArticleUsingAfterMapping(ArticleDTO dto, Article persisted);

Which also gives us the expected result:

@Test
void givenArticleDTO_whenToArticleWithNullStatus_thenReturnsArticleWithNullStatus() {
    Article oldArticle1 = new Article("Title 1", "John Doe");

    Article result1 = articleMapper.toArticleUsingAfterMapping(new ArticleDTO("Updated article 1 title"), oldArticle1);

    assertThat(result1.getReviewedBy()).isNull();
    assertThat(result1.getTitle()).isEqualTo("Updated article 1 title");
}

With that approach, whenever we use a mapper method (from the same class that AfterMapping is defined) that produces an Article type, the setNullReviewedBy() method runs and sets reviewedBy to null.

Hence, its usage depends on the specific scenario we’re dealing with. If we must always produce Articles with reviewedBy as null, it’s a good fit.

Otherwise, it could cause side effects on other methods of the given mapper class and produce unwanted results.

4. Generalizing to Polymorphic Types

After MapStruct 1.5.0, we can also define mappers for polymorphic supertypes, allowing the mapping behavior to be automatically passed to their subtypes.

To combine this with the behavior of setting the reviewedBy field to null, we can create a generic mapper that sets the reviewedBy to all subtypes of a base entity using MapStruct subtypes.

4.1. Creating the New Class Structure

To illustrate generic mapping, let’s use a new class structure that has two base types. One is the Reviewable type:

public class Reviewable{
    protected String title;
    protected String reviewedBy;

    // getters, setters, and constructors
}

And the other is the ReviewableDTO:

public class ReviewableDTO {
    private String title;
    
    // getters, setters. and constructors
}

With that, we can create Reviewable subclasses:

public class Article extends Reviewable {
    private String title;

    // getter, setter, and constructors
}
public class WeeklyNews extends Reviewable {
    //getters setters constructors
}

And the ReviewableDTO subclasses:

public class ArticleDTO extends ReviewableDTO {
    private String title;

    // getters, setters, and constructors
}
public class WeeklyNewsDTO extends ReviewableDTO {
    private String title;

    // getters, setters, and constructors
}

4.2. Mapping Subtypes

Given the new class structure, we can define the ReviewableMapper:

@Mapper
public interface ReviewableMapper {
    @SubclassMapping(source = ArticleDTO.class, target = Article.class)
    @SubclassMapping(source = WeeklyNewsDTO.class, target = WeeklyNews.class)
    @Mapping(target = "reviewedBy", expression = "java(null)")
    Reviewable toReviewable(ReviewableDTO dto);
}

Notably, the new mapper uses the @SubclassMapping annotation to accept all subclasses of ReviewableDTO and return all subclasses of Reviewable. Additionally, we retained the expression=java(null) for mapping reviewedBy, but we could have chosen any of the forms presented in this article.

Let’s verify the desired behavior:

@Test
void givenArticleDTO_whenToReviewableUsingMapper_thenReturnsArticleWithNullStatus() {
    Reviewable result1 = reviewableMapper.toReviewable(new ArticleDTO("Updated article 1 title"));
    Reviewable result2 = reviewableMapper.toReviewable(new WeeklyNewsDTO());

    assertThat(result1).isInstanceOf(Article.class);
    assertThat(result2).isInstanceOf(WeeklyNews.class);
    assertThat(result1.getReviewedBy()).isNull();
    assertThat(result2.getReviewedBy()).isNull();
}

Noticeably, the mapper accepts both ReviewableDTO subtypes and maps them to the respective Reviewable subtype as verified by AssertJ’s isInstanceOf() method. Additionally, we got the desired behavior of always setting reviewedBy to null using ReviewableMapper.

5. Conclusion

In this article, we’ve learned different ways to always set a specific object field to null using MapStruct using the expression, qualifiedBy, and ignore properties from the @Mapper annotation. In addition, we’ve explored how to achieve this using @AfterMapping.

Finally, we’ve learned how to generalize the behavior for polymorphic types using MapStruct’s @SubclassMapping.

As always, the source code is available over on GitHub.

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:

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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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Course – LS – NPI EA (cat=REST)

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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.

Course – LS – NPI (cat=Java)
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eBook Jackson – NPI EA – 3 (cat = Jackson)