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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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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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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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Course – LS – NPI EA (cat=Jackson)
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Course – RWSB – NPI EA (cat=REST)
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Course – LSS – NPI EA (cat=Spring Security)
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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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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 – Summer Sale 2026 – NPI EA (cat= Baeldung)
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Course – Summer Sale 2026 – NPI (cat=Baeldung)
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1. Overview

Our services often have to communicate with other REST services in order to fetch information.

In Spring, we can use RestTemplate to perform synchronous HTTP requests. The data is usually returned as JSON, and RestTemplate can convert it for us.

In this tutorial, we’ll explore how we can convert a JSON Array into three different object structures in Java: Array of Object, Array of POJO and a List of POJO.

2. JSON, POJO and Service

Let’s imagine that we have an endpoint http://localhost:8080/users returning a list of users as the following JSON:

[{
  "id": 1,
  "name": "user1",
}, {
  "id": 2,
  "name": "user2"
}]

We’ll require the corresponding User class to process data:

public class User {
    private int id;
    private String name;

    // getters and setters..
}

For our interface implementation, we write a UserConsumerServiceImpl with RestTemplate as its dependency:

public class UserConsumerServiceImpl implements UserConsumerService {

    private final RestTemplate restTemplate;

    public UserConsumerServiceImpl(RestTemplate restTemplate) {
        this.restTemplate = restTemplate;
    }

...
}

3. Mapping a List of JSON Objects

When the response to a REST request is a JSON array, there are a few ways we can convert it to a Java collection.

Let’s look at the options and see how easily they allow us to process the data that is returned. We’ll look at extracting the usernames of some user objects returned by a REST service.

3.1. RestTemplate With Object Array

First, let’s make the call with RestTemplate.getForEntity and use a ResponseEntity of type Object[] to collect the response:

ResponseEntity<Object[]> responseEntity =
   restTemplate.getForEntity(BASE_URL, Object[].class);

Next, we can extract the body into our array of Object:

Object[] objects = responseEntity.getBody();

The actual Object here is just some arbitrary structure that contains our data but doesn’t use our User type. Let’s convert it into our User objects.

For this, we’ll need an ObjectMapper:

ObjectMapper mapper = new ObjectMapper();

We can declare it inline, though this is usually done as a private static final member of the class.

Lastly, we are ready to extract the usernames:

return Arrays.stream(objects)
  .map(object -> mapper.convertValue(object, User.class))
  .map(User::getName)
  .collect(Collectors.toList());

With this method, we can essentially read an array of anything into an Object array in Java. This can be handy if we only wanted to count the results, for instance.

However, it doesn’t lend itself well to further processing. We had to put extra effort into converting it to a type we could work with.

The Jackson Deserializer actually deserializes JSON into a series of LinkedHashMap objects when we ask it to produce Object as the target type. Post-processing with convertValue is an inefficient overhead.

We can avoid it if we provide our desired type to Jackson in the first place.

3.2. RestTemplate With User Array

We can provide User[]  to RestTemplate, instead of Object[]:

  ResponseEntity<User[]> responseEntity = 
    restTemplate.getForEntity(BASE_URL, User[].class); 
  User[] userArray = responseEntity.getBody();
  return Arrays.stream(userArray) 
    .map(User::getName) 
    .collect(Collectors.toList());

We can see that we no longer need the ObjectMapper.convertValue. The ResponseEntity has User objects inside it. But we still need to do some extra conversions to use the Java Stream API and for our code to work with a List.

3.3. RestTemplate With User List and ParameterizedTypeReference

If we need the convenience of Jackson producing a List of Users instead of an Array, we need to describe the List we want to create. To do this, we have to use RestTemplate.exchange.

This method takes a ParameterizedTypeReference produced by an anonymous inner class:

ResponseEntity<List<User>> responseEntity = 
  restTemplate.exchange(
    BASE_URL,
    HttpMethod.GET,
    null,
    new ParameterizedTypeReference<List<User>>() {}
  );
List<User> users = responseEntity.getBody();
return users.stream()
  .map(User::getName)
  .collect(Collectors.toList());

This produces the List that we want to use.

Let’s have a closer look into why we need to use the ParameterizedTypeReference.

In the first two examples, Spring can easily deserialize the JSON into a User.class type token where the type information is fully available at runtime.

With generics, however, type erasure occurs if we try to use List<User>.class. So, Jackson would not be able to determine the type inside the <>.

We can overcome this by using a super type token called ParameterizedTypeReference. Instantiating it as an anonymous inner class — new ParameterizedTypeReference<List<User>>() {} — exploits the fact that subclasses of generic classes contain compile-time type information that is not subject to type erasure and can be consumed through reflection.

4. Conclusion

In this article, we saw three different ways of processing JSON objects using RestTemplate. We saw how to specify the types of arrays of Object and our own custom classes.

Then we learned how we provide the type information to produce a List by using the ParameterizedTypeReference.

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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Working on getting your persistence layer right with Spring?

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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 – Summer Sale 2026 – NPI EA (cat= Baeldung)
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Course – Summer Sale 2026 – NPI (All)
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Course – LS – NPI (cat=HTTP Client-Side)
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eBook Jackson – NPI EA – 3 (cat = Jackson)