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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.

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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.

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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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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.

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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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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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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 – 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:

Automated Accessibility Testing With Selenium

1. Overview

When we use Hibernate to retrieve data from the database, by default, it uses the retrieved data to construct the whole object graph for the object requested. But sometimes we might want to retrieve only part of the data, preferably in a flat structure.

In this quick tutorial, we’ll see how we can achieve this in Hibernate using a custom class.

2. The Entities

First, let’s look at entities we’ll be using to the retrieve the data:

@Entity
public class DeptEmployee {
 
    @Id
    @GeneratedValue(strategy = GenerationType.SEQUENCE)
    private long id;

    private String employeeNumber;

    private String designation;

    private String name;

    @ManyToOne
    private Department department;

    // constructor, getters and setters 
} 

@Entity
public class Department {
 
    @Id
    @GeneratedValue(strategy = GenerationType.SEQUENCE)
    private long id;

    private String name;

    @OneToMany(mappedBy="department")
    private List<DeptEmployee> employees;

    public Department(String name) {
        this.name = name;
    }
    
    // getters and setters 
}

Here, we have two entities – DeptEmployee and Department. For simplicity, let’s assume that a DeptEmployee can belong to only one Department.

But, a Department can have multiple DeptEmployees.

3. A Custom Query Result Class

Let’s say we want to print a list of all employees with just their name and the name of their department.

Typically, we would retrieve this data with a query like this:

Query<DeptEmployee> query = session.createQuery("from com.baeldung.hibernate.entities.DeptEmployee");
List<DeptEmployee> deptEmployees = query.list();

This will retrieve all employees, all their properties, the associated department, and all its properties.

But, in this particular case, this might be a bit expensive as we only need the name of the employee and the name of the department.

One way to only retrieve the information we need is by specifying the properties in the select clause.

But, when we do this, Hibernate returns a list of arrays instead of a list of Objects:

Query query = session.createQuery("select m.name, m.department.name from com.baeldung.hibernate.entities.DeptEmployee m");
List managers = query.list();
Object[] manager = (Object[]) managers.get(0);
assertEquals("John Smith", manager[0]);
assertEquals("Sales", manager[1]);

As we can see, the returned data is a bit cumbersome to process. But, fortunately, we can get Hibernate to populate this data into a class.

Let’s look at the Result class that we’ll use to populate the retrieved data into:

public class Result {
    private String employeeName;
    
    private String departmentName;
    
    public Result(String employeeName, String departmentName) {
        this.employeeName = employeeName;
        this.departmentName = departmentName;
    }

    public Result() {
    }

    // getters and setters 
}

Note that the class is not an entity but just a POJO. However, we can also use an entity as long as it has a constructor that takes all attributes that we want to populate as parameters.

We’ll see why the constructor is important in the next section.

4. Using a Constructor in HQL

Now, let’s look at the HQL that uses this class:

Query<Result> query = session.createQuery("select new com.baeldung.hibernate.pojo.Result(m.name, m.department.name)" 
  + " from com.baeldung.hibernate.entities.DeptEmployee m");
List<Result> results = query.list();
Result result = results.get(0);
assertEquals("John Smith", result.getEmployeeName());
assertEquals("Sales", result.getDepartmentName());

Here, we use the constructor we defined in the Result class along with the properties we want to retrieve. This will return a list of Result objects with the data populated from the columns.

As we can see, the returned list is easier to process than using a list of object arrays.

It’s important to note that we have to use the fully qualified name of the class in the query.

5. Using a ResultTransformer

An alternative to using a constructor in the HQL query is to use a ResultTransformer:

Query query = session.createQuery("select m.name as employeeName, m.department.name as departmentName" 
  + " from com.baeldung.hibernate.entities.DeptEmployee m");
query.setResultTransformer(Transformers.aliasToBean(Result.class));
List<Result> results = query.list();
Result result = results.get(0);
assertEquals("John Smith", result.getEmployeeName());
assertEquals("Sales", result.getDepartmentName());

We use the Transformers.aliasToBean() method to use the retrieved data to populate the Result objects.

Consequently, we have to make sure the column names or their aliases in the select statement match the properties of the Result class.

Note that Query.setResultTransformer(ResultTransformerhas been deprecated since Hibernate 5.2.

6. Cast Query.list() to List<Type> in Hibernate

Casting the result of Query.list() to List<Type> in Hibernate is a common operation. The key is to make sure that the type we’re casting to matches the type of objects retrieved by the Hibernate query.

6.1. Retrieve the List and Cast

After creating a Hibernate query, the list can be retrieved and cast using the following code:

List<Result> results = query.list();

In this case, it’s assumed that the query retrieves a list of objects of type Result. If working with a different object, replace Result accordingly. Additionally, depending on the Hibernate version, getResultList() might be used instead of list().

6.2. Handle Type Safety and Warnings

While the straightforward cast above is common, it may generate an unchecked cast warning. To handle this more safely, we can use the @SuppressWarnings annotation:

@SuppressWarnings("unchecked")
List<Result> results = query.list();

It is crucial to ensure that the type being cast matches the type of entities retrieved by the query.

7. Conclusion

In this article, we saw how a custom class can be used to retrieve data in a form that is easy to read.

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:

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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:

>> 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?

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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 Jackson – NPI EA – 3 (cat = Jackson)