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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.

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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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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.

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Partner – LambdaTest – NPI EA (cat=Testing)
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Browser testing is essential if you have a website or web applications that users interact with. Manual testing can be very helpful to an extent, but given the multiple browsers available, not to mention versions and operating system, testing everything manually becomes time-consuming and repetitive.

To help automate this process, Selenium is a popular choice for developers, as an open-source tool with a large and active community. What's more, we can further scale our automation testing by running on theLambdaTest cloud-based testing platform.

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Partner – Orkes – NPI EA (cat=Java)
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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.

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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.

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eBook – Jackson – NPI (cat=Jackson)
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1. Overview

In this tutorial, we’ll explore how to force Jackson to deserialize a JSON value to a specific type.

By default, Jackson deserializes JSON values to a type specified by the target field. Sometimes, it’s possible that the target field type isn’t specific. This is done to allow multiple types of values. In such cases, Jackson may deserialize the value by choosing the closest matching subtype of the specified type. This may lead to unexpected results.

We’ll explore how to restrict Jackson from deserializing a JSON value to a specific type.

2. Code Example Setup

For our example, we’ll define a JSON structure with a field that can have multiple types of values. We’ll then create a Java class to represent the JSON structure and use Jackson to deserialize the value to a specific type in certain cases.

2.1. Dependencies

Let’s start by adding the Jackson Databind dependency to our pom.xml file:

<dependency>
    <groupId>com.fasterxml.jackson.core</groupId>
    <artifactId>jackson-databind</artifactId>
    <version>2.17.2</version>
</dependency>

2.2. JSON Structure

Next, let’s look at our input JSON structure:

{
  "person": [
    {
      "key": "name",
      "value": "John"
    },
    {
      "key": "id",
      "value": 25
    }
  ]
}

Here we have a person object with multiple key-value properties. The value field can have different types of values.

2.3. DTO

Next, we’ll create a DTO class to represent the JSON structure:

public class PersonDTO {
    private List<KeyValuePair> person;

    // constructors, getters and setters
    
    public static class KeyValuePair {
        private String key;
        private Object value;

        // constructors, getters and setters
    }
}

The PersonDTO class contains a list of key-value pairs that represent a person. Here, the value field is of type Object to allow multiple types of values.

3. Default Deserialization

To demonstrate our problem, let’s see how default deserialization works in Jackson.

3.1. Reading JSON

We’ll define a method that reads our input JSON and deserializes it to a PersonDTO object:
public PersonDTO readJson(String json) throws JsonProcessingException {
    ObjectMapper mapper = new ObjectMapper();
    return mapper.readValue(json, PersonDTO.class);
}

Here, we use the ObjectMapper class to read the JSON string and convert it to a PersonDTO object. We want the value for id to be deserialized to a Long type. We’ll write a test to verify this behavior.

3.2. Testing the Default Deserialization

Now, let’s test our method by reading the JSON and checking the type of its fields:

@Test
void givenJsonWithDifferentValueTypes_whenDeserialize_thenIntValue() throws JsonProcessingException {
    String json = "{\"person\": [{\"key\": \"name\", \"value\": \"John\"}, {\"key\": \"id\", \"value\": 25}]}";
    PersonDTO personDTO = readJson(json);
    assertEquals(String.class, personDTO.getPerson().get(0).getValue().getClass());
    assertEquals(Integer.class, personDTO.getPerson().get(1).getValue().getClass()); // Integer by default
}

When we run the test, we’ll see that it passes. Jackson deserializes the id value to an Integer type instead of a Long type since the value can fit in an Integer type.

In the next sections, we’ll explore how we can modify this default behavior.

4. Custom Deserialization to Specific Type

The simplest way to force Jackson to deserialize the value to a specific type is to use a custom deserializer.

Let’s create a custom deserializer for the value field in the KeyValuePair class:

public class ValueDeserializer extends JsonDeserializer<Object> {
    @Override
    public Object deserialize(JsonParser p, DeserializationContext ctxt) throws IOException {
        JsonToken currentToken = p.getCurrentToken();
        if (currentToken == JsonToken.VALUE_NUMBER_INT) {
            return p.getLongValue();
        } else if (currentToken == JsonToken.VALUE_STRING) {
            return p.getText();
        } 
        return null;
    }
}

Here we get the current token from the JsonParser and check if it’s a number or a string. If it’s a number, we return the value as a Long type. If it’s a string, we return the value as a String type. In this way, we force Jackson to deserialize the value to a long if it’s a number.

Next, we’ll annotate the value field in the KeyValuePair class with the @JsonDeserialize annotation to use the custom deserializer:

public static class KeyValuePair {
    private String key;

    @JsonDeserialize(using = ValueDeserializer.class)
    private Object value;
}

We can write another test to verify that a Long value is returned now:

@Test
void givenJsonWithDifferentValueTypes_whenDeserialize_thenLongValue() throws JsonProcessingException {
    String json = "{\"person\": [{\"key\": \"name\", \"value\": \"John\"}, {\"key\": \"id\", \"value\": 25}]}";
    PersonDTOWithCustomDeserializer personDTO = readJsonWithCustomDeserializer(json);
    assertEquals(String.class, personDTO.getPerson().get(0).getValue().getClass());
    assertEquals(Long.class, personDTO.getPerson().get(1).getValue().getClass());
}

5. Configuring ObjectMapper

The above method is good when we want custom behavior for a specific field. However, if the same rule applies to all fields of a class or multiple classes, we can configure the ObjectMapper to use the USE_LONG_FOR_INTS deserialization feature:

PersonDTO readJsonWithLongForInts(String json) throws JsonProcessingException {
    ObjectMapper mapper = new ObjectMapper();
    mapper.enable(DeserializationFeature.USE_LONG_FOR_INTS);
    return mapper.readValue(json, PersonDTO.class);
}

Here, we enable the USE_LONG_FOR_INTS feature in the ObjectMapper to force Jackson to deserialize all integer values to Long type.

Let’s test if this configuration works as expected:

@Test
void givenJsonWithDifferentValueTypes_whenDeserializeWithLongForInts_thenLongValue() throws JsonProcessingException {
    String json = "{\"person\": [{\"key\": \"name\", \"value\": \"John\"}, {\"key\": \"id\", \"value\": 25}]}";
    PersonDTO personDTO = readJsonWithLongForInts(json);
    assertEquals(String.class, personDTO.getPerson().get(0).getValue().getClass());
    assertEquals(Long.class, personDTO.getPerson().get(1).getValue().getClass());
}

When we run the test, we’ll see that it passes. Any integer value in the JSON is deserialized to a Long type.

6. Using @JsonTypeInfo

The above two methods convert all integer values in the value field to Long type. If we want to convert the values to a specific type dynamically, we can use the @JsonTypeInfo annotation. However, this requires the input JSON to contain the type information.

6.1. Adding Type to the JSON

We modify the JSON structure to include the type information for the value field:

{
  "person": [
    {
      "key": "name",
      "type": "string",
      "value": "John"
    },
    {
      "key": "id",
      "type": "long",
      "value": 25
    },
    {
      "key": "age",
      "type": "int",
      "value": 30
    }
  ]
}

Here we add a type field in our objects. We also add an Integer field age to test that both int and long values are deserialized correctly.

6.2. Customizing the DTO

Next, we’ll modify the KeyValuePair class to include the type information:

public class PersonDTOWithType {
    private List<KeyValuePair> person;

    public static class KeyValuePair {
        private String key;

        @JsonTypeInfo(use = JsonTypeInfo.Id.NAME, include = JsonTypeInfo.As.EXTERNAL_PROPERTY, property = "type")
        @JsonSubTypes({
            @JsonSubTypes.Type(value = String.class, name = "string"),
            @JsonSubTypes.Type(value = Long.class, name = "long"),
            @JsonSubTypes.Type(value = Integer.class, name = "int")
        })
        private Object value;

        // constructors, getters and setters
    }
}

Here, we use the @JsonTypeInfo annotation to specify the type information for the value field. We specify that an external property with the name “type” contains the type information.

We also use the @JsonSubTypes annotation to define all the subtypes that the value can have. If the type field has the value “string” we convert it to an object of type String.

Now, when Jackson deserializes the value, it uses the type information to determine the exact type of the value.

6.3. Testing

Let’s write a test to verify this behavior:

@Test
void givenJsonWithDifferentValueTypes_whenDeserializeWithTypeInfo_thenSuccess() throws JsonProcessingException {
    String json = "{\"person\": [{\"key\": \"name\", \"type\": \"string\", \"value\": \"John\"}, {\"key\": \"id\", \"type\": \"long\", \"value\": 25}, {\"key\": \"age\", \"type\": \"int\", \"value\": 30}]}";
    PersonDTOWithType personDTO = readJsonWithValueType(json);
    assertEquals(String.class, personDTO.getPerson().get(0).getValue().getClass());
    assertEquals(Long.class, personDTO.getPerson().get(1).getValue().getClass());
    assertEquals(Integer.class, personDTO.getPerson().get(2).getValue().getClass());
}

When we run the test, we see that it passes successfully. The id value is converted to Long and the age value is converted to Integer.

7. Conclusion

In this article, we learned how to force Jackson to deserialize a JSON value to a specific type. We explored different methods to achieve this, such as using a custom deserializer, configuring the ObjectMapper to use a deserialization feature, and using the @JsonTypeInfo annotation to specify the type information for the value field.

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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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.

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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.

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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.

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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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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.

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