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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.

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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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LS – NPI EA (cat=Jackson)
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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.

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Course – LSD – NPI EA (tag=Spring Data JPA)
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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.

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Course – LJB – NPI EA (cat = Core Java)
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Partner – Diagrid – NPI EA (cat= Testing)
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In distributed systems, managing multi-step processes (e.g., validating a driver, calculating fares, notifying users) can be difficult. We need to manage state, scattered retry logic, and maintain context when services fail.

Dapr Workflows solves this via Durable Execution which includes automatic state persistence, replaying workflows after failures and built-in resilience through retries, timeouts and error handling.

In this tutorial, we'll see how to orchestrate a multi-step flow for a ride-hailing application by integrating Dapr Workflows and Spring Boot:

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1. Introduction

Message interpolation is the process used for creating error messages for Java bean validation constraints. For example, we can see the messages by providing a null value for a field annotated with the jakarta.validation.constraints.NotNull annotation.

In this tutorial, we’ll learn how to use the default Spring message interpolation and how to create our own interpolation mechanism.

To see examples of other libraries providing constraints besides jakarta.validation, take a look at Hibernate Validator Specific Constraints. We can also create a custom Spring Validation annotation.

2. Default Message Interpolation

Before getting into code snippets, let’s consider an example of an HTTP 400 response with a default @NotNull constraint violation message:

{
    ....
    "status": 400,
    "error": "Bad Request",
    "errors": [
        {
            ....
            "defaultMessage": "must not be null",
            ....
        }
    ],
    "message": "Validation failed for object='notNullRequest'. Error count: 1",
    ....
}

Spring retrieves the constraint violation message details from message descriptors. Each constraint defines its default message descriptor using the message attribute. But, of course, we can overwrite it with a custom value.

As an example, we’ll create a simple REST controller with a POST method:

@RestController
public class RestExample {

    @PostMapping("/test-not-null")
    public void testNotNull(@Valid @RequestBody NotNullRequest request) {
        // ...
    }
}

The request body will be mapped to the NotNullRequest object, which has just one String filed annotated with @NotNull:

public class NotNullRequest {

    @NotNull(message = "stringValue has to be present")
    private String stringValue;

    // getters, setters
}

Now, when we send in a POST request that fails this validation check, we will see our custom error message:

{
    ...
    "errors": [
        {
            ...
            "defaultMessage": "stringValue has to be present",
            ...
        }
    ],
    ...
}

The only value that changes is defaultMessage. But we still get a lot of information about error codes, object name, field name, etc. To limit the number of displayed values, we can implement Custom Error Message Handling for REST API.

3. Interpolation with Message Expressions

In Spring, we can use the Unified Expression Language to define our message descriptors. This allows defining error messages based on conditional logic and also enables advanced formatting options.

To understand it more clearly, let’s look at a few examples.

In every constraint annotation, we can access the actual value of a field that’s being validated:

@Size(
  min = 5,
  max = 14,
  message = "The author email '${validatedValue}' must be between {min} and {max} characters long"
)
private String authorEmail;

Our error message will contain both the actual value of the property and min and max parameters of the @Size annotation:

"defaultMessage": "The author email '[email protected]' must be between 5 and 14 characters long"

Notice that for accessing external variables, we use ${} syntax, but for accessing other properties from the validation annotation, we use {}.

Using the ternary operator is also possible:

@Min(
  value = 1,
  message = "There must be at least {value} test{value > 1 ? 's' : ''} in the test case"
)
private int testCount;

Spring will convert the ternary operator to a single value in the error message:

"defaultMessage": "There must be at least 2 tests in the test case"

We can also call methods on external variables:

@DecimalMin(
  value = "50",
  message = "The code coverage ${formatter.format('%1$.2f', validatedValue)} must be higher than {value}%"
)
private double codeCoverage;

Invalid input will produce an error message with the formatted value:

"defaultMessage": "The code coverage 44.44 must be higher than 50%"

As we can see from these examples, some characters such as {, }, $, and / are used in message expressions, so we need to escape them with a backslash character before using them literally: \{, \}, \$, and \\.

4. Custom Message Interpolation

In some cases, we want to implement a custom message interpolation engine. To do so, we must first implement the jakarta.validation.MessageInterpolation interface:

public class MyMessageInterpolator implements MessageInterpolator {
    private final MessageInterpolator defaultInterpolator;

    public MyMessageInterpolator(MessageInterpolator interpolator) {
        this.defaultInterpolator = interpolator;
    }

    @Override
    public String interpolate(String messageTemplate, Context context) {
        messageTemplate = messageTemplate.toUpperCase();
        return defaultInterpolator.interpolate(messageTemplate, context);
    }

    @Override
    public String interpolate(String messageTemplate, Context context, Locale locale) {
        messageTemplate = messageTemplate.toUpperCase();
        return defaultInterpolator.interpolate(messageTemplate, context, locale);
    }
}

In this simple implementation, we’re just changing the error message to upper-case. By doing so, our error message will look like:

"defaultMessage": "THE CODE COVERAGE 44.44 MUST BE HIGHER THAN 50%"

We also need to register our interpolator in the jakarta.validation.Validation factory:

Validation.byDefaultProvider().configure().messageInterpolator(
  new MyMessageInterpolator(
    Validation.byDefaultProvider().configure().getDefaultMessageInterpolator())
);

5. Conclusion

In this article, we’ve learned how default Spring message interpolation works and how to create a custom message interpolation engine.

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.
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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:

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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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Course – LS – NPI EA (cat=REST)

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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.

Course – LS – NPI – (cat=Spring)
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eBook Jackson – NPI EA – 3 (cat = Jackson)