eBook – Guide Spring Cloud – NPI EA (cat=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.

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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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Get Started with Apache Maven:

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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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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:

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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.

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

1. Overview

When building our persistence layer with Spring Data JPA, we often work with entities with enum fields. These enum fields represent a fixed set of constants, such as the status of an order, the role of a user, or the stage of an article in a publishing system.

Querying entities based on their enum fields is a common requirement, and Spring Data JPA provides several ways to accomplish this.

In this tutorial, we’ll explore how we can query enum fields declared in our entity classes using standard JPA methods and native queries.

2. Application Setup

2.1. Data Model

First, let’s define our data model, including an enum field. The central entity in our example is the Article class, which declares an enum field ArticleStage to represent the different stages an article can be in:

public enum ArticleStage {
    TODO, IN_PROGRESS, PUBLISHED;
}

The ArticleStage enum holds three possible stages, representing the lifecycle of an article from its initial creation to its final published state.

Next, let’s create the Article entity class with the ArticleStage enum field:

@Entity
@Table(name = "articles")
public class Article {

    @Id
    private UUID id;

    private String title;

    private String author;

    @Enumerated(EnumType.STRING)
    private ArticleStage stage;

    // standard constructors, getters and setters
}

We map our Article entity class to the articles database table. Additionally, we use the @Enumerated annotation to specify that the stage field should be persisted as a string in the database.

2.2. Repository Layer

With our data model defined, we can now create a repository interface that extends JpaRepository to interact with our database:

@Repository
public interface ArticleRepository extends JpaRepository<Article, UUID> {
}

In the upcoming sections, we’ll be adding query methods to this interface to explore different ways of querying our Article entity by its enum field.

3. Standard JPA Query Methods

Spring Data JPA allows us to define derived query methods in our repository interfaces using method names. This approach works perfectly for simple queries.

Let’s examine how this can be used to query the enum field in our entity class.

3.1. Querying by a Single Enum Value

We can find articles by a single ArticleStage enum value by defining a method in our ArticleRepository interface:

List<Article> findByStage(ArticleStage stage);

Spring Data JPA will generate the appropriate SQL query based on the method name.

We can also combine the stage parameter with other fields to create more specific queries. For example, we can declare a method to find an article by its title and stage:

Article findByTitleAndStage(String title, ArticleStage stage);

We’ll use Instancio to generate test Article data and test these queries:

Article article = Instancio.create(Article.class);
articleRepository.save(article);

List<Article> retrievedArticles = articleRepository.findByStage(article.getStage());

assertThat(retrievedArticles).element(0).usingRecursiveComparison().isEqualTo(article);
Article article = Instancio.create(Article.class);
articleRepository.save(article);

Article retrievedArticle = articleRepository.findByTitleAndStage(article.getTitle(), article.getStage());

assertThat(retrievedArticle).usingRecursiveComparison().isEqualTo(article);

3.2. Querying by Multiple Enum Values

We can also find articles by multiple ArticleStage enum values:

List<Article> findByStageIn(List<ArticleStage> stages);

Spring Data JPA will generate an SQL query that uses the IN clause to find articles whose stage matches any of the provided values.

To verify that our declared method works as expected, let’s test it:

List<Article> articles = Instancio.of(Article.class).stream().limit(100).toList();
articleRepository.saveAll(articles);

List<ArticleStage> stagesToQuery = List.of(ArticleStage.TODO, ArticleStage.IN_PROGRESS);
List<Article> retrievedArticles = articleRepository.findByStageIn(stagesToQuery);

assertThat(retrievedArticles)
  .isNotEmpty()
  .extracting(Article::getStage)
  .doesNotContain(ArticleStage.PUBLISHED)
  .hasSameElementsAs(stagesToQuery);

4. Native Queries

In addition to the standard JPA methods we explored in the previous section, Spring Data JPA also supports native SQL queries. Native queries are useful for executing complex SQL queries and allow us to invoke database-specific functions.

Moreover, we can use SpEL (Spring Expression Language) with the @Query annotation to construct dynamic queries based on method parameters.

Let’s see how we can use native queries with the SpEL to query our entity class Article by its ArticleStage enum value.

4.1. Querying by a Single Enum Value

To query article records by a single enum value using a native query, we can define a method in our ArticleRepository interface and annotate it with the @Query annotation:

@Query(nativeQuery = true, value = "SELECT * FROM articles WHERE stage = :#{#stage?.name()}")
List<Article> getByStage(@Param("stage") ArticleStage stage);

We set the nativeQuery attribute to true to indicate that we’re using a native SQL query instead of the default JPQL definition.

We use a SpEL expression :#{#stage?.name()} in the query to refer to the enum value that is passed to the method parameter. The ? operator in the expression is used to handle null input gracefully.

Let’s verify that our native query method works as expected:

Article article = Instancio.create(Article.class);
articleRepository.save(article);

List<Article> retrievedArticles = articleRepository.getByStage(article.getStage());

assertThat(retrievedArticles).element(0).usingRecursiveComparison().isEqualTo(article);

4.2. Querying by Multiple Enum Values

To query article records by multiple enum values using a native query, we can define another method in our ArticleRepository interface:
@Query(nativeQuery = true, value = "SELECT * FROM articles WHERE stage IN (:#{#stages.![name()]})")
List<Article> getByStageIn(@Param("stages") List<ArticleStage> stages);

To achieve this scenario, we use the IN clause in our SQL query to fetch articles whose stage matches any of the provided values.

The SpEL expression #stages.![name()] transforms the list of enum values into a list of strings representing their names.

Let’s see the behavior of this method:

List<Article> articles = Instancio.of(Article.class).stream().limit(100).toList();
articleRepository.saveAll(articles);

List<ArticleStage> stagesToQuery = List.of(ArticleStage.TODO, ArticleStage.IN_PROGRESS);
List<Article> retrievedArticles = articleRepository.findByStageIn(stagesToQuery);

assertThat(retrievedArticles)
  .isNotEmpty()
  .extracting(Article::getStage)
  .doesNotContain(ArticleStage.PUBLISHED)
  .hasSameElementsAs(stagesToQuery);

5. Conclusion

In this article, we explored how to query enum fields in our entity classes using Spring Data JPA. We’ve looked at both standard JPA methods and native queries with SpEL to achieve this.

We’ve learned how to query entities using both single and multiple enum values. The standard JPA methods provide a clean and straightforward way to query enum fields, while native queries offer more control and flexibility to execute complex SQL queries.

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:

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

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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.

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