Partner – Microsoft – NPI EA (cat = Baeldung)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

Let's get started with a Microservice Architecture with Spring Cloud:

>> Join Pro and download the eBook

eBook – Mockito – NPI EA (tag = Mockito)
announcement - icon

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:

Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

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 – Reactive – NPI EA (cat=Reactive)
announcement - icon

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:

>> Join Pro and download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
announcement - icon

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 – Jackson – NPI EA (cat=Jackson)
announcement - icon

Do JSON right with Jackson

Download the E-book

eBook – HTTP Client – NPI EA (cat=Http Client-Side)
announcement - icon

Get the most out of the Apache HTTP Client

Download the E-book

eBook – Maven – NPI EA (cat = Maven)
announcement - icon

Get Started with Apache Maven:

Download the E-book

eBook – Persistence – NPI EA (cat=Persistence)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

eBook – RwS – NPI EA (cat=Spring MVC)
announcement - icon

Building a REST API with Spring?

Download the E-book

Course – LS – NPI EA (cat=Jackson)
announcement - icon

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

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
announcement - icon

Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

>> The New “REST With Spring Boot”

Course – LSS – NPI EA (cat=Spring Security)
announcement - icon

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)
announcement - icon

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:

>> CHECK OUT THE COURSE

Partner – MongoDB – NPI EA (tag=MongoDB)
announcement - icon

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

Partner – LambdaTest – NPI EA (cat=Testing)
announcement - icon

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. Introduction

In this tutorial, we’ll understand how to use @Valid annotation to validate objects and their nested child objects.

Validating incoming data can be straightforward when it is of a basic data type, such as an integer or string. However, it can be more difficult when the incoming information is an object, specifically an object graph. Luckily, @Valid annotation simplifies validating nested child objects.

2. What Is @Valid Annotation?

The @Valid annotation comes from the Jakarta Bean Validation specification and marks particular parameters for validation.

Usage of this annotation ensures that data passed to the method or stored in the field complies with specified validation rules. This helps us promote data integrity and consistency.

When used on the field or method of JavaBean it triggers all defined constraint checks. Some of the most used constraints from Bean Validation API are @NotNull, @NotBlank, @NotEmpty, @Size, @Email, @Pattern, etc.

3. How to Use @Valid Annotation on Child Object

First, we must determine the validation rules and apply the previously mentioned validation constraints to the fields.

Next, we define a class that represents a project and it contains a nested User object that we’ll decorate with the @Valid annotation:

public class User {

    @NotBlank(message = "User name must be present")
    @Size(min = 3, max = 50, message = "User name size not valid")
    private String name;

    @NotBlank(message = "User email must be present")
    @Email(message = "User email format is incorrect")
    private String email;

    // omitted constructors, getters and setters

}

public class Project {

    @NotBlank(message = "Project title must be present")
    @Size(min = 3, max = 20, message = "Project title size not valid")
    private String title;

    @Valid
    private User owner;

    // omitted constructors, getters and setters

}

After that, we’ll perform validation with the simple use of the validate() method on the Validator instance. Let’s ensure the child object is validated with a test:

@Test
public void whenInvalidProjectAndUser_thenAssertConstraintViolations() {
    Project project = new Project(null);
    project.setOwner(new User(null, "invalid-email"));

    List<String> messages = validate(project);

    assertEquals(3, messages.size());
    assertTrue(messages.contains("Project title must be present"));
    assertTrue(messages.contains("User name must be present"));
    assertTrue(messages.contains("User email format is incorrect"));
}

private List<String> validate(Project project) {
    return validator.validate(project)
      .stream()
      .map(ConstraintViolation::getMessage)
      .collect(Collectors.toList());
}

In addition, bean validation using @Valid annotation works perfectly with frameworks such as Spring and Jakarta EE. By using annotation on the method parameter of our controller class, we can perform validation before even entering the controller method, which is perfect for keeping our data consistent.

4. Understand the Object Graph Validation

Now that we’ve seen how to use @Valid, let’s understand better why it works this way. In situations where objects have other nested objects, we have to apply a mechanism known as Object Graph Validation.

This mechanism validates the full structure of related objects in an object graph. All children objects (and their children as well) annotated with @Valid are validated when their parent is. In other words, validation is applied recursively across the entire graph.

As a result of this graph traversal, we get ConstraintViolations as a collection that contains all combined validation violations from nested objects.

Because we validate each object in the graph recursively, we might have a problem with cycling references, where objects reference each other in a cycle. This could make us get stuck in infinite loops, constantly validating the same objects repeatedly.

Fortunately, Jakarta Bean Validation includes a concept of defining a validation path, which is described as the sequence of @Valid associations starting from the root object. The implementation keeps track of each instance it has already validated in the current path, starting from a root object. If the same instance appears multiple times in a given navigation path, the validation routine will ignore it, thus preventing infinite loops.

5. Annotation Usage on Child Objects

Now that we know how to use the @Valid annotation and how it works beneath the surface, let’s check out all the places we can use it. We’ll look at using @Valid on nested instances, collections, and type arguments in container objects.

5.1. Validate Nested Instance With @Valid

One way to validate the nested instances is to use the Field Access Strategy, the same way we validated the nested User object inside the Project in the previous example. Simply, we decorate the field with the @Valid annotation and that instance is added to the navigation path:

@Valid
private User owner;

Similarly, another way of validating nested instances is to use Property Access Strategy, which means we can put @Valid on the getter method accessing the state of a property that way:

@Valid
public User getOwner() {
    return owner;
}

5.2. Validate Iterables With @Valid

Collections, arrays, or any other implementations of java.lang.Iterebale interface are eligible for the @Valid annotation. If we annotate in this case, we’ll apply validation for each element of Iterable following the same rules.

It’s important to know that only values will be validated if a collection is an implementation of the java.util.Map interface. We must specifically annotate keys to trigger validation for them.

For example, let’s check out a Map that validates both the key and value:

private Map<@Valid User, @Valid Task> assignedTasks;

5.3. Using Annotation on Container Objects and Type Arguments

Applying annotation on container objects and type arguments is very similar, let’s first take a look at how to do it:

@Valid 
private List<Task> tasks;
    
private List<@Valid Task> tasks;

The first example shows us using annotation on a container, whereas the second one is on type argument directly. In this case, there is no difference, they both work as we expect them to. As a rule, we should avoid using it in both places because that could result in container elements being validated twice.

As we can see, using annotation in these cases is flexible, but they don’t always work in the way we want them to. In cases where we have nested generic containers, to validate the contents of a container we must apply annotation on the type reference of the inner container.

Let’s see an example where a List is nested inside a Map:

private Map<String, List<@Valid Task>> taskByType;

6. Conclusion

In this article, we learned what @Valid annotation is, how to use it to perform validation on child objects, and how Object Graph Validation works.

The @Valid annotation is a powerful tool we can use in different places to make sure things are validated as intended. It’s great because it automatically checks each validated object in the graph, making our job easier.

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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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:

>> Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

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)
announcement - icon

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)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

Partner – MongoDB – NPI EA (tag=MongoDB)
announcement - icon

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)

announcement - icon

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

>> CHECK OUT THE COURSE

eBook Jackson – NPI EA – 3 (cat = Jackson)
2 Comments
Oldest
Newest
Inline Feedbacks
View all comments