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 – 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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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.

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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.

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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.

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>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

In this cookbook, we’re exploring the various ways to unmarshall JSON into Java objects, using the popular Gson library.

1. Deserialize JSON to Single Basic Object

Let’s start simple – we’re going to unmarshall a simple json to a Java object – Foo:

public class Foo {
    public int intValue;
    public String stringValue;

    // + standard equals and hashCode implementations
}

And the solution:

@Test
public void whenDeserializingToSimpleObject_thenCorrect() {
    String json = "{"intValue":1,"stringValue":"one"}";

    Foo targetObject = new Gson().fromJson(json, Foo.class);

    assertEquals(targetObject.intValue, 1);
    assertEquals(targetObject.stringValue, "one");
}

Further reading:

Exclude Fields from Serialization in Gson

Explore the options available to exclude fields from serialization in Gson.

Gson Serialization Cookbook

Learn how to serialize entities using the Gson library.

Jackson vs Gson

Quick and practical guide to serialization with Jackson and Gson.

2. Deserialize JSON to Generic Object

Next – let’s define an object using generics:

public class GenericFoo<T> {
    public T theValue;
}

And unmarshall some json into this type of object:

@Test
public void whenDeserializingToGenericObject_thenCorrect() {
    Type typeToken = new TypeToken<GenericFoo<Integer>>() { }.getType();
    String json = "{"theValue":1}";

    GenericFoo<Integer> targetObject = new Gson().fromJson(json, typeToken);

    assertEquals(targetObject.theValue, new Integer(1));
}

3. Deserialize JSON With Extra Unknown Fields to Object

Next – let’s deserialize some complex json that contains additional, unknown fields:

@Test
public void givenJsonHasExtraValues_whenDeserializing_thenCorrect() {
    String json = 
      "{"intValue":1,"stringValue":"one","extraString":"two","extraFloat":2.2}";
    Foo targetObject = new Gson().fromJson(json, Foo.class);

    assertEquals(targetObject.intValue, 1);
    assertEquals(targetObject.stringValue, "one");
}

As you can see, Gson will ignore the unknown fields and simply match the fields that it’s able to.

4. Deserialize JSON With Non-Matching Field Names to Object

Now, let’s see how Gson does with a json string containing fields that simply don’t match the fields of our Foo object:

@Test
public void givenJsonHasNonMatchingFields_whenDeserializingWithCustomDeserializer_thenCorrect() {
    String json = "{"valueInt":7,"valueString":"seven"}";

    GsonBuilder gsonBldr = new GsonBuilder();
    gsonBldr.registerTypeAdapter(Foo.class, new FooDeserializerFromJsonWithDifferentFields());
    Foo targetObject = gsonBldr.create().fromJson(json, Foo.class);

    assertEquals(targetObject.intValue, 7);
    assertEquals(targetObject.stringValue, "seven");
}

Notice that we registered a custom deserializer – this was able to correctly parse out the fields from the json string and map them to our Foo:

public class FooDeserializerFromJsonWithDifferentFields implements JsonDeserializer<Foo> {

    @Override
    public Foo deserialize
      (JsonElement jElement, Type typeOfT, JsonDeserializationContext context) 
      throws JsonParseException {
        JsonObject jObject = jElement.getAsJsonObject();
        int intValue = jObject.get("valueInt").getAsInt();
        String stringValue = jObject.get("valueString").getAsString();
        return new Foo(intValue, stringValue);
    }
}

5. Deserialize JSON Array to Java Array of Objects

Next, we’re going to deserialize a json array into a Java array of Foo objects:

@Test
public void givenJsonArrayOfFoos_whenDeserializingToArray_thenCorrect() {
    String json = "[{"intValue":1,"stringValue":"one"}," +
      "{"intValue":2,"stringValue":"two"}]";
    Foo[] targetArray = new GsonBuilder().create().fromJson(json, Foo[].class);

    assertThat(Lists.newArrayList(targetArray), hasItem(new Foo(1, "one")));
    assertThat(Lists.newArrayList(targetArray), hasItem(new Foo(2, "two")));
    assertThat(Lists.newArrayList(targetArray), not(hasItem(new Foo(1, "two"))));
}

6. Deserialize JSON Array to Java Collection

Next, a json array directly into a Java Collection:

@Test
public void givenJsonArrayOfFoos_whenDeserializingCollection_thenCorrect() {
    String json = 
      "[{"intValue":1,"stringValue":"one"},{"intValue":2,"stringValue":"two"}]";
    Type targetClassType = new TypeToken<ArrayList<Foo>>() { }.getType();

    Collection<Foo> targetCollection = new Gson().fromJson(json, targetClassType);
    assertThat(targetCollection, instanceOf(ArrayList.class));
}

7. Deserialize JSON to Nested Objects

Next, let’s define our nested object – FooWithInner:

public class FooWithInner {
    public int intValue;
    public String stringValue;
    public InnerFoo innerFoo;

    public class InnerFoo {
        public String name;
    }
}

And here is how to deserialize an input containing this nested object:

@Test
public void whenDeserializingToNestedObjects_thenCorrect() {
    String json = "{\"intValue\":1,\"stringValue\":\"one\",\"innerFoo\":{\"name\":\"inner\"}}";

    FooWithInner targetObject = new Gson().fromJson(json, FooWithInner.class);

    assertEquals(targetObject.intValue, 1);
    assertEquals(targetObject.stringValue, "one");
    assertEquals(targetObject.innerFoo.name, "inner");
}

8. Deserialize JSON Using Custom Constructor

Finally, let’s see how to force using a specific constructor during deserializations instead of default – no arguments constructor – using InstanceCreator:

public class FooInstanceCreator implements InstanceCreator<Foo> {

    @Override
    public Foo createInstance(Type type) {
        return new Foo("sample");
    }
}

And here is how to use our FooInstanceCreator in deserialization:

@Test
public void whenDeserializingUsingInstanceCreator_thenCorrect() {
    String json = "{\"intValue\":1}";

    GsonBuilder gsonBldr = new GsonBuilder();
    gsonBldr.registerTypeAdapter(Foo.class, new FooInstanceCreator());
    Foo targetObject = gsonBldr.create().fromJson(json, Foo.class);

    assertEquals(targetObject.intValue, 1);
    assertEquals(targetObject.stringValue, "sample");
}

Note that instead of null, the Foo.stringValue equals sample as we used the following constructor:

public Foo(String stringValue) {
    this.stringValue = stringValue;
}

9. Conclusion

This articles shows how to leverage the Gson library to parse JSON input – going over the most common usecases for both single and multiple objects.

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.

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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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)