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, 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.

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 – 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.

Get started with mocking and improve your application tests using our Mockito guide:

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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 – 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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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:

>> The New “REST With Spring Boot”

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:

>> Learn Spring Security

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 – 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

Partner – LambdaTest – NPI (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

In this tutorial, we’ll learn how to use the ArgumentMatcher, and discuss how it differs from the ArgumentCaptor.

For an introduction to the Mockito framework, please refer to this article.

2. Maven Dependencies

We need to add a single artifact:

<dependency>
    <groupId>org.mockito</groupId> 
    <artifactId>mockito-core</artifactId>
    <version>5.11.0</version> 
    <scope>test</scope>
</dependency>

The latest version of Mockito can be found on Maven Central.

3. ArgumentMatchers

We can configure a mocked method in various ways. One option is to return a fixed value:

doReturn("Flower").when(flowerService).analyze("poppy");

In the above example, the String “Flower” is returned only when the analyze method of FlowerService receives the String “poppy”.

But there may be a case where we need to respond to a wider range of values or unknown values.

In these scenarios, we can configure our mocked methods with argument matchers:

when(flowerService.analyze(anyString())).thenReturn("Flower");

Now, because of the anyString argument matcher, the result will be the same no matter what value we pass to analyze. ArgumentMatchers allow us flexible verification or stubbing.

If a method has more than one argument, we can’t just use ArgumentMatchers for only some of the arguments. Mockito requires that we provide all arguments either by matchers or exact values.

Here we can see an example of an incorrect approach:

when(flowerService.isABigFlower("poppy", anyInt())).thenReturn(true);

We can verify this by running the below test:

assertThrows(InvalidUseOfMatchersException.class, 
    () -> when(flowerService.isABigFlower("poppy", anyInt())).thenReturn(true));

To fix this and keep the String name “poppy” as desired, we’ll use eq matcher:

when(flowerService.isABigFlower(eq("poppy"), anyInt())).thenReturn(true);

Let’s run the test to confirm this:

when(flowerService.isABigFlower(eq("poppy"), anyInt())).thenReturn(true);

Flower flower = new Flower("poppy", 15);

Boolean response = flowerController.isABigFlower(flower);
assertThat(response).isTrue();

There are two more points to note when we use matchers:

  • We can’t use them as a return value; we require an exact value when stubbing calls.
  • We can’t use argument matchers outside of verification or stubbing.

As per the second point, Mockito will detect the misplaced argument and throw an InvalidUseOfMatchersException.

A bad example of this would be:

flowerController.isAFlower("poppy");

String orMatcher = or(eq("poppy"), endsWith("y"));
assertThrows(InvalidUseOfMatchersException.class, () -> verify(flowerService).analyze(orMatcher));

The way we’d implement the above code is:

verify(flowerService).analyze(or(eq("poppy"), endsWith("y")));

Mockito also provides AdditionalMatchers to implement common logical operations (‘not’, ‘and’, ‘or’) on ArgumentMatchers that match both primitive and non-primitive types.

4. Custom Argument Matcher

Creating our own matcher allows us to select the best possible approach for a given scenario and produce high-quality tests that are clean and maintainable.

For instance, we can have a MessageController that delivers messages. It’ll receive a MessageDTO, and from that, it’ll create a Message that MessageService will deliver.

Our verification will be simple; we’ll verify that we called the MessageService exactly 1 time with any Message:

MessageDTO messageDTO = new MessageDTO();
messageDTO.setFrom("me");
messageDTO.setTo("you");
messageDTO.setText("Hello, you!");

messageController.createMessage(messageDTO);

verify(messageService, times(1)).deliverMessage(any(Message.class));

Since the Message is constructed inside the method under test, we must use any as the matcher.

This approach doesn’t let us validate the data inside the Message, which can be different from the data inside the MessageDTO.

For this reason, we’ll implement a custom argument matcher:

public class MessageMatcher implements ArgumentMatcher<Message> {

    private Message left;

    // constructors

    @Override
    public boolean matches(Message right) {
        return left.getFrom().equals(right.getFrom()) &&
          left.getTo().equals(right.getTo()) &&
          left.getText().equals(right.getText()) &&
          right.getDate() != null &&
          right.getId() != null;
    }
}

To use our matcher, we need to modify our test and replace any by argThat:

MessageDTO messageDTO = new MessageDTO();
messageDTO.setFrom("me");
messageDTO.setTo("you");
messageDTO.setText("Hello, you!");

messageController.createMessage(messageDTO);

Message message = new Message();
message.setFrom("me");
message.setTo("you");
message.setText("Hello, you!");

verify(messageService, times(1)).deliverMessage(argThat(new MessageMatcher(message)));

Now we know our Message instance will have the same data as our MessageDTO.

5. Custom Argument Matcher vs ArgumentCaptor

Both techniques, custom argument matchers and ArgumentCaptor can be used to make sure certain arguments are passed to mocks.

However, ArgumentCaptor may be a better fit if we need it to assert on argument values to complete the verification, or our custom argument matcher isn’t likely to be reused.

Custom argument matchers via ArgumentMatcher are usually better for stubbing.

6. Supporting Varargs

Mockito 5 improves how varargs (for example, String… args) are handled, addressing issues that previously made matching them inconsistent and unintuitive.

In earlier versions, matching zero or multiple arguments worked as expected, but matching exactly one argument was problematic. For example, using when(mock.call(any())) would match any number of arguments — zero, one, or more — because any() was vararg-aware and applied to each element, not the entire array.

The new type() method on ArgumentMatcher provides more precise control. It allows tests to specify whether they want to match the entire vararg array or individual elements:

  • To match any number of arguments, use when(mock.call(any(String[].class))).
  • To match an invocation with no arguments, use when(mock.call()).
  • To match exactly one argument, use when(mock.call(any())) or when(mock.call(any(String.class))).
  • To match exactly two arguments, use when(mock.call(any(), any())).

This makes varargs matching far more predictable and removes confusion when testing methods with variable-length arguments.

Mockito 5 also improves ArgumentCaptor for varargs. It can now capture a single element or the entire vararg array, and it’s fully type-aware. For instance:

@Captor private ArgumentCaptor<String> captor;
@Captor private ArgumentCaptor<String[]> arrayCaptor;

This ensures we can capture individual arguments or the whole array as needed.

In addition, ArgumentCaptor now supports capturing specific subtypes. For example, when a method takes a Collection<?>, we can capture only List arguments:

ArgumentCaptor<Collection<?>> captor = ArgumentCaptor.forClass(List.class);
verify(mock).simpleMethod(captor.capture());
assertThat(captor.getAllValues()).containsExactly(List.of());

These improvements make testing varargs and generic collections in Mockito clearer, safer, and more precise.

7. Conclusion

In this article, we explored ArgumentMatcher, a feature of Mockito. We also discussed how it differs from ArgumentCaptor and highlighted how Mockito 5 has improved support for varargs, making it easier to match variable-length arguments in tests.

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.

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:

>> Download the eBook

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)