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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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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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.

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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:

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Course – LJU – NPI (tag = JUnit)
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Master the most popular testing framework for Java, through the Learn JUnit course:

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Partner – Diagrid – NPI (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 short article, we’ll explore the JsonUnit library and use it to create expressive assertions for JSON objects. We’ll start with a simple example, showcasing the smooth integration between JsonUnit and AssertJ.

After that, we’ll learn how to verify JSON against a templated String. This approach offers flexibility and allows us to use custom placeholders to match element values against a wide range of criteria or to ignore specific JSON paths entirely.

2. Getting Started

The JsonUnit project contains a few different modules that can be imported independently. The json-unit-assertj module is the recommended way of using the library, providing a fluent API and a smooth integration with the AssertJ library.

Let’s add this dependency to our pom.xml:

<dependency>
    <groupId>net.javacrumbs.json-unit</groupId>
    <artifactId>json-unit-assertj</artifactId>
    <version>3.5.0</version>
    <scope>test</scope>
</dependency>

The library assumes a JSON deserializer is already in our classpath and automatically tries to use it. Currently, the supported integrations are Gson, org.json, Moshi, and Jackson2.

We can now create an assertion object using the static factory method assertThatJson(). Consequently, we’ll be able to use JsonUnit’s fluent API to validate that the tested JSON is a valid JSON object and verify its key-value pairs:

@Test
void whenWeVerifyAJsonObject_thenItContainsKeyValueEntries() {
    String articleJson = """ 
            {
               "name": "A Guide to Spring Boot",
               "tags": ["java", "spring boot", "backend"]
            }
        """;

    assertThatJson(articleJson)
      .isObject()
      .containsEntry("name", "A Guide to Spring Boot")
      .containsEntry("tags", List.of("java", "spring boot", "backend"));
}

JsonUnit allows us to easily navigate through the JSON object while leveraging AssertJ’s powerful assertions for verifications. For example, we can use methods like node() to navigate the JSON and isArray() to access an API tailored for asserting collections:

assertThatJson(articleJson)
  .isObject()
  .containsEntry("name", "A Guide to Spring Boot")
  .node("tags")
  .isArray()
  .containsExactlyInAnyOrder("java", "spring boot", "backend");

On the other hand, we can compare the tested object to a plain JSON String in a declarative fashion. To do this, we just need to wrap the expected content within an ExpectedNode instance, which can be done using the function JsonAssertion.json():

assertThatJson(articleJson)
  .isObject()
  .isEqualTo(json("""
      {
          "name": "A Guide to Spring Boot",
          "tags": ["java", "spring boot", "backend"]
      }
    """));

3. Supported Features

The library offers many features like navigating complex JSON paths, ignoring fields or values, and asserting against custom matchers or regex patterns. Although we won’t discuss every feature, we’ll explore some key ones.

3.1. Options

JsonUnit enables us to define various configurations for each assertion. We can find the supported features in the Option enum and enable them via the when() method.

Let’s enable the IGNORE_ARRAY_ORDER and IGNORE_EXTRA_ARRAY_ITEMS options for an alternative way of verifying that the JSON contains the tags “java” and “backend” in any order:

assertThatJson(articleJson)
  .when(Option.IGNORING_ARRAY_ORDER)
  .when(Option.IGNORING_EXTRA_ARRAY_ITEMS)
  .node("tags")
  .isEqualTo(json("""
        ["backend", "java"]
      """));

3.2. Placeholders

When verifying JSON output against expected content, the library allows the expected result to be templated. For example, placeholders like ${json-unit.any-string} and ${json-unit.ignore-element} can validate the article’s name as a string while ignoring its list of tags:

assertThatJson(articleJson)
  .isEqualTo(json(""" 
      {
         "name": "${json-unit.any-string}",
         "tags": "${json-unit.ignore-element}"
      }
    """));

Similarly, we can use placeholders like ${json-unit.any-number}, ${json-unit.any-boolean}, ${json-unit.regex}, or even create custom placeholders tailored to specific use cases.

3.3. Ignoring Paths

So far, we’ve learned how to use a placeholder to ignore an element of the JSON object. However, we can also leverage the whenIgnoringPaths() method to define the JSON paths to be ignored when performing the assertions:

assertThatJson(articleJson)
  .whenIgnoringPaths("tags")
  .isEqualTo(json(""" 
        {
           "name": "A Guide to Spring Boot",
           "tags": [ "ignored", "tags" ]
        }
    """));
  }

As we can see, when we use whenIgnoringPaths(“tags”) the assertion passes even if the two JSON objects have different values for the tags key.

4. Conclusion

In this hands-on tutorial, we discussed the basics of JsonUnit and explored its API for creating fluent and declarative assertions, making JSON validation simple and expressive.

We also learned how to verify JSON content by comparing it to a templated String. This technique proves especially powerful when paired with other library features, such as configuration Options, custom placeholders, and type matchers.

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:

>> 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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Course – LS – NPI EA (cat=REST)

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

>> CHECK OUT THE COURSE

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)