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.

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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.

Partner – LambdaTest – NPI EA (cat=Testing)
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Regression testing is an important step in the release process, to ensure that new code doesn't break the existing functionality. As the codebase evolves, we want to run these tests frequently to help catch any issues early on.

The best way to ensure these tests run frequently on an automated basis is, of course, to include them in the CI/CD pipeline. This way, the regression tests will execute automatically whenever we commit code to the repository.

In this tutorial, we'll see how to create regression tests using Selenium, and then include them in our pipeline using GitHub Actions:, to be run on the LambdaTest cloud grid:

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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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1. Introduction

Hibernate is a powerful ORM (Object-Relational Mapping) framework that simplifies the interaction between Java objects and relational databases. Hibernate abstracts away the complexities of writing raw SQL queries, enabling us to retrieve lists of entities using a more object-oriented approach. In this tutorial, we’ll explore a few techniques for retrieving lists of entities from a database using Hibernate.

2. Mapping Database Tables to Entities

Hibernate provides a straightforward way to map database tables to Java classes, known as entities. Each entity class represents a table in the database, with attributes mapping to columns in the table. Annotations such as @Entity, @Table, @Id, and @Column are used to define the mapping between the Java class and the corresponding database table.

Moreover, Hibernate leverages entity mappings to translate our queries (using JPQL or Criteria API) into efficient SQL statements. When we write a JPQL query like “SELECT e FROM Employee e“, Hibernate understands that “Employee” refers to the entity class representing our “Employee” table and “e” represents an instance of that entity. It then translates this into the appropriate SQL statement to retrieve data from the underlying database table.

3. Using Criteria API

The Criteria API provides an alternative for building queries programmatically using Java objects. It allows us to construct queries dynamically at runtime, which can be particularly useful when the query criteria are not known at compile time or need to be built dynamically based on user input or application logic.

Here’s how to retrieve a list of entities using the Criteria API:

@PersistenceContext
private EntityManager entityManager;

public List<Employee> getAllEmployees() {
    CriteriaBuilder criteriaBuilder = entityManager.getCriteriaBuilder();
    CriteriaQuery<Employee> criteriaQuery = criteriaBuilder.createQuery(Employee.class);
    Root<Employee> employeeRoot = criteriaQuery.from(Employee.class);

    criteriaQuery.select(employeeRoot);

    Query query = entityManager.createQuery(criteriaQuery);
    return query.getResultList();
}

This example retrieves all Employee entities. CriteriaBuilder is used to construct the query. We define the root entity (Employee.class) and specify that we want to select all attributes (criteriaQuery.select(employeeRoot)) from this entity. Finally, the query is converted to a typed Query object and executed using getResultList().

The Criteria API allows for building dynamic filtering and sorting criteria. Here’s an example of retrieving employees from the “Engineering” department sorted by last name in ascending order:

public List<Employee> getAllEmployeesByDepartment(String department) {
    CriteriaBuilder criteriaBuilder = entityManager.getCriteriaBuilder();
    CriteriaQuery<Employee> criteriaQuery = criteriaBuilder.createQuery(Employee.class);
    Root<Employee> employeeRoot = criteriaQuery.from(Employee.class);

    Predicate departmentPredicate = criteriaBuilder.equal(employeeRoot.get("department"), department);
    Path<Object> sortByPath = employeeRoot.get("lastName");
    criteriaQuery.orderBy(criteriaBuilder.asc(sortByPath));

    criteriaQuery.select(employeeRoot).where(departmentPredicate);

    Query query = entityManager.createQuery(criteriaQuery);
    return query.getResultList();
}

This example defines a departmentPredicate using the criteriaBuilder.equal() method and applies it to the query. The sorting by last name is achieved using criteriaBuilder.asc().

4. Using JPQL (Java Persistence Query Language)

JPQL offers a convenient way to write queries that resemble SQL syntax but operate on entity and attribute names instead of tables and columns. This simplifies query construction and improves readability.

Here’s how to retrieve all Employee entities using JPQL:

@PersistenceContext
private EntityManager entityManager;

public List<Employee> getAllEmployees() {
    String jpqlQuery = "SELECT e FROM Employee e";
    Query query = entityManager.createQuery(jpqlQuery, Employee.class);

    return query.getResultList();
}

We construct a JPQL query string SELECT e FROM Employee e to retrieve all Employee entities. Next, we use the createQuery() method of EntityManager to create a JPQL query object and set the query string and the expected result type (Employee.class). Finally, we execute the query using the getResultList() method, which returns a list of Employee entities fetched from the database.

JPQL offers functionalities for filtering results using a WHERE clause and sorting them using ORDER BY. Here’s an example demonstrating how to retrieve employees from a specific department sorted by last name in ascending order:

public List<Employee> getAllEmployeesByDepartment() {
    String jpqlQuery = "SELECT e FROM Employee e WHERE e.department = 'Engineering' ORDER BY e.lastName ASC"; 
    Query query = entityManager.createQuery(jpqlQuery, Employee.class); 

    return query.getResultList();
}

This query retrieves all Employee entities (e) where the department attribute equals “Engineering” and sorts them by their lastName attribute in ascending order (ASC).

5. Using Named Queries

While JPQL offers a convenient way to construct queries dynamically, named queries provide a structured approach for pre-defining reusable queries within our entity classes or a separate XML configuration file. This improves code readability and maintainability and reduces the risk of errors in query strings.

There are two primary methods for defining named queries in Hibernate.

5.1. Using Annotations

We can define a named query using the @NamedQuery annotation directly within our entity class:

@Entity
@NamedQuery(name = "findAllEmployees", query = "SELECT e FROM Employee e")
@NamedQuery(name = "findEmployeesByDepartment", query = "SELECT e FROM Employee e WHERE e.department = :department ORDER BY e.lastName ASC")
public class Employee {
    @Id
    @GeneratedValue
    private Integer id;

    private String lastName;

    private String department;

    // getter and setter methods
}

In this example, we define two named queries within the Employee entity class using the @NamedQuery annotation. The first named query, findAllEmployees, retrieves all employees from the database without any filtering criteria.

The second named query, findEmployeesByDepartment, is more specific. It retrieves employees based on their associated department. By providing the department as a parameter (:department), we can filter the employees based on the specified department. Additionally, the query sorts the results by the employees’ last names in ascending order (ORDER BY e.lastName ASC).

5.2. Using XML Configuration

We can create an XML file hibernate.cfg.xml to define named queries. We use the <named-query> element to specify the query name, JPQL string, and target entity:

<hibernate-configuration>
    <named-query name="findAllEmployees">
        <query>SELECT e FROM Employee e</query>
    </named-query>
    <named-query name="findEmployeesByDepartment">
        <query>SELECT e FROM Employee e WHERE e.department = :department ORDER BY e.lastName ASC</query>
    </named-query>
</hibernate-configuration>

This configuration defines the same two named queries (findAllEmployees and findEmployeesByDepartment) as in the annotation approach. XML configuration offers greater separation of concerns and centralized management, while annotations provide a more concise and entity-centric way to define named queries.

5.3. Utilizing Named Queries

To use a named query, we can use the entityManager.createNamedQuery() method. This method allows us to create and execute a named query defined within an entity class or XML configuration.

Here’s a code snippet demonstrating the usage of a named query:

@PersistenceContext
private EntityManager entityManager;

public List<Employee> getAllEmployees() {
    Query query = entityManager.createNamedQuery("findAllEmployees", Employee.class);
    return query.getResultList();
}

public List<Employee> findEmployeesByDepartment(String department) {
    Query query = entityManager.createNamedQuery("findEmployeesByDepartment", Employee.class);
    query.setParameter("department", department);
    return query.getResultList();
}

In this example, we retrieve all employees (findAllEmployees) and filter them by department (findEmployeesByDepartment) using named queries.

6. One-to-Many Relationship

In Hibernate, we can easily access the collection of associated entities from the parent entity using the getter method. The one-to-many relationships allow a single entity (parent) to be associated with a collection of related entities (children). This functionality is particularly useful when retrieving lists of parent entities, as we might also want to access their associated child entities in a single query.

Here’s a code example demonstrating how to retrieve a list of Department entities along with their associated Employee entities using the getEmployees() method:

@Entity
public class Department {
    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;
    
    @OneToMany(mappedBy = "department", fetch = FetchType.EAGER)
    private List<Employee> employees;

    // Getters and setters...
}

In this mapping configuration, the Department entity has a OneToMany association with the Employee entity, mapped by the department field in the Employee entity. The employees field in the Department entity represents the collection of associated employees.

Now, we can directly access the collection of employees for a specific department using the getEmployees() method:

public List<Employee> getAllEmployeesByDepartment(String departmentName) {
    Department department = entityManager.createQuery("SELECT d FROM Department d WHERE d.name = :name", Department.class)
      .setParameter("name", "Engineering")
      .getSingleResult();
    return department.getEmployees();
}

In this example, the @OneToMany annotation on the employees field utilizes fetch = FetchType.EAGER. This instructs Hibernate to retrieve all associated Employee and Department entities in a single query.

7. Conclusion

In this article, we’ve explored various approaches for retrieving lists of entities using Hibernate: JPQL, Criteria API, and one-to-many relationships. JPQL provides a straightforward and intuitive way to construct queries, making it suitable for basic queries or those with known criteria. However, Criteria API can be useful, particularly in scenarios where query criteria are not known at compile time or need to be dynamically adjusted based on application logic or user input.

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:

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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 – 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)