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.

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

In this quick tutorial, we’ll focus on the differences between the @Valid and @Validated annotations in Spring.

Validating users’ input is a common functionality in most of our applications. In the Java Ecosystem, we specifically use the Java Standard Bean Validation API to support this, which is well integrated with Spring from version 4.0 onward. The @Valid and @Validated annotations stem from this Standard Bean API.

In the next sections, we’ll explore them in greater detail.

2. @Valid and @Validated Annotations

In Spring, we use JSR-303’s @Valid annotation for method level validation. We also use it to mark a member attribute for validation. However, this annotation doesn’t support group validation.

Groups help to limit the constraints applied during validation. One particular use case is UI wizards. In the first step, we may have a certain sub-group of fields. In the subsequent step, there may be another group belonging to the same bean. So we need to apply constraints on these limited fields in each step, but @Valid doesn’t support this.

In this case, for group-level, we have to use Spring’s @Validated, which is a variant of JSR-303’s @Valid.  This is used at the method-level. For marking member attributes, we continue to use the @Valid annotation.

Now let’s dive right in and look at the usage of these annotations with an example.

3. Example

Let’s consider a simple user registration form developed using Spring Boot. To begin with, we’ll have only the name and the password attributes:

public class UserAccount {

    @NotNull
    @Size(min = 4, max = 15)
    private String password;

    @NotBlank
    private String name;

    // standard constructors / setters / getters / toString
     
}

Next, let’s look at the controller. Here we’ll have the saveBasicInfo method with the @Valid annotation to validate the user input:

@RequestMapping(value = "/saveBasicInfo", method = RequestMethod.POST)
public String saveBasicInfo(
  @Valid @ModelAttribute("useraccount") UserAccount useraccount, 
  BindingResult result, 
  ModelMap model) {
    if (result.hasErrors()) {
        return "error";
    }
    return "success";
}

Now let’s test this method:

@Test
public void givenSaveBasicInfo_whenCorrectInput_thenSuccess() throws Exception {
    this.mockMvc.perform(MockMvcRequestBuilders.post("/saveBasicInfo")
      .accept(MediaType.TEXT_HTML)
      .param("name", "test123")
      .param("password", "pass"))
      .andExpect(view().name("success"))
      .andExpect(status().isOk())
      .andDo(print());
}

After confirming that the test runs successfully, we’ll extend the functionality. The next logical step is to convert this to a multi-step registration form, as is the case with most wizards. The first step with the name and password remains unchanged. In the second step, we’ll fetch additional information like age and phone. Then we’ll update our domain object with these additional fields:

public class UserAccount {
    
    @NotNull
    @Size(min = 4, max = 15)
    private String password;
 
    @NotBlank
    private String name;
 
    @Min(value = 18, message = "Age should not be less than 18")
    private int age;
 
    @NotBlank
    private String phone;
    
    // standard constructors / setters / getters / toString   
    
}

However, this time we’ll notice that the previous test fails. This is because we aren’t passing in the age and phone fields, which are still not in the picture on the UI. To support this behavior, we’ll need group validation and the @Validated annotation.

For this, we need to group the fields creating two distinct groups. First, we’ll need to create two marker interfaces, a separate one for each group or each step. We can refer to our article on group validation for the exact implementation of this. Here, let’s focus on the differences in the annotations.

We’ll have the BasicInfo interface for the first step, and the AdvanceInfo for the second step. Furthermore, we’ll update our UserAccount class to use these marker interfaces:

public class UserAccount {
    
    @NotNull(groups = BasicInfo.class)
    @Size(min = 4, max = 15, groups = BasicInfo.class)
    private String password;
 
    @NotBlank(groups = BasicInfo.class)
    private String name;
 
    @Min(value = 18, message = "Age should not be less than 18", groups = AdvanceInfo.class)
    private int age;
 
    @NotBlank(groups = AdvanceInfo.class)
    private String phone;
    
    // standard constructors / setters / getters / toString   
    
}

In addition, we’ll update our controller to use the @Validated annotation instead of @Valid:

@RequestMapping(value = "/saveBasicInfoStep1", method = RequestMethod.POST)
public String saveBasicInfoStep1(
  @Validated(BasicInfo.class) 
  @ModelAttribute("useraccount") UserAccount useraccount, 
  BindingResult result, ModelMap model) {
    if (result.hasErrors()) {
        return "error";
    }
    return "success";
}

As a result of this update, our test now runs successfully. We’ll also test this new method:

@Test
public void givenSaveBasicInfoStep1_whenCorrectInput_thenSuccess() throws Exception {
    this.mockMvc.perform(MockMvcRequestBuilders.post("/saveBasicInfoStep1")
      .accept(MediaType.TEXT_HTML)
      .param("name", "test123")
      .param("password", "pass"))
      .andExpect(view().name("success"))
      .andExpect(status().isOk())
      .andDo(print());
}

This too runs successfully. Therefore, we can see how the usage of @Validated is essential for group validation.

Next, let’s see how @Valid is essential to trigger the validation of nested attributes.

4. Using @Valid Annotation to Mark Nested Objects

The @Valid annotation is used to mark nested attributes, in particular. This triggers the validation of the nested object. For instance, in our current scenario, we can create a UserAddress object:

public class UserAddress {

    @NotBlank
    private String countryCode;

    // standard constructors / setters / getters / toString
}

To ensure validation of this nested object, we’ll decorate the attribute with the @Valid annotation:

public class UserAccount {
    
    //...
    
    @Valid
    @NotNull(groups = AdvanceInfo.class)
    private UserAddress useraddress;
    
    // standard constructors / setters / getters / toString 
}

5. Pros and Cons

Let’s look at some of the pros and cons of using the @Valid and @Validated annotations in Spring.

The @Valid annotation ensures the validation of the whole object. Importantly, it performs the validation of the whole object graph. However, this creates issues for scenarios needing only partial validation.

On the other hand, we can use @Validated for group validation, including the above partial validation. However, in this instance, the validated entities have to know the validation rules for all the groups or use-cases they’re used in. Here we’re mixing concerns, which can result in an anti-pattern.

6. Conclusion

In this brief article, we explored the key differences between the @Valid and @Validated Annotations.

To conclude, for any basic validation, we’ll use the JSR @Valid annotation in our method calls. On the other hand, for any group validation, including group sequences, we’ll need to use Spring’s @Validated annotation in our method call. The @Valid annotation is also needed to trigger the validation of nested properties.

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.

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)