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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat= Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

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 – 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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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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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.

Get started with Spring Data JPA through the guided reference course:

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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

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Partner – LambdaTest – NPI EA (cat=Testing)
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Accessibility testing is a crucial aspect to ensure that your application is usable for everyone and meets accessibility standards that are required in many countries.

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

In this tutorial, we’ll explore different methods of converting Jackson’s raw data type JsonNode into typed Java collections. While we can read JSON using JsonNode itself, converting it to a Java collection can be beneficial. Java collections provide advantages over raw JSON data such as type safety, faster processing, and availability of more type-specific operations.

2. Example Setup

In our code example, we’ll look at different ways to convert a JsonNode to a List or Map of objects. Let’s set up the building blocks of our example.

2.1. Dependency

To start with, let’s add the Jackson Core dependency to the pom.xml file:

<dependency>
    <groupId>com.fasterxml.jackson.core</groupId>
    <artifactId>jackson-core</artifactId>
    <version>2.17.0</version>
</dependency>

2.2. JSON Data

Next, let’s define a JSON for our use case:

{
    "persons": [
        {
            "name": "John",
            "age": 30
        },
        {
            "name": "Alice",
            "age": 25
        }
    ],
    "idToPerson" : {
        "1234": {
            "name": "John",
            "age": 30
        },
        "1235": {
            "name": "Alice",
            "age": 25
        }
    }
}

In the above JSON, we have a JSON array persons and a JSON object idToPerson. We’ll look at methods to convert them to Java collections.

2.3. The DTO

Let’s define a Person class that we can use in our example:

public class Person {
    private String name;
    private int age;
    
    // constructors/getters/setters
}

2.4. Converting JSON String to JsonNode

If we want to read an object from the entire JSON, we can use the ObjectMapper class of Jackson to do so:

JsonNode rootNode = new ObjectMapper().readTree(jsonString);
JsonNode childNode = rootNode.get("persons");

To convert the entire JSON into a JsonNode object, we use the readTree() method. We then traverse the JsonNode object using the get() method that returns the nested object with the specified name.

3. Manual Conversion

Before checking library methods, let’s look at a way to convert a JsonNode into a collection manually.

3.1. Manually Converting JsonNode to List

To convert a JsonNode to a list, we can traverse it entry by entry and create a List object with it:

List<Person> manualJsonNodeToList(JsonNode personsNode) {
    List<Person> people = new ArrayList<>();
    for (JsonNode node : personsNode) {
        Person person = new Person(node.get("name").asText(), node.get("age").asInt());
        people.add(person);
    }

    return people;
}

Here, we use a loop to traverse all children of the input node. This is possible only if our input node is an array.

For each node, we create a Person object and add it to the list. We get name and age from the node using the get(fieldName) method. JsonNode provides various methods to convert the returned value into primitive Java types. Here, the asText() and asInt() methods convert the value to String and int, respectively.

3.2. Manually Converting JsonNode to Map

Let’s look at a similar conversion for the map:

Map<String, Person> manualJsonNodeToMap(JsonNode idToPersonsNode) {
    Map<String, Person> mapOfIdToPerson = new HashMap<>();
    idToPersonsNode.fields()
      .forEachRemaining(node -> mapOfIdToPerson.put(node.getKey(),
        new Person(node.getValue().get("name").asText(), node.getValue().get("age").asInt())));

    return mapOfIdToPerson;
}

Here, we use the fields() method to iterate over map entries. It returns an Iterator<Map.Entry<String, JsonNode>> object that we can process further. Next, we read each entry and put it into our Map.

4. Using Jackson’s readValue() and convertValue()

Jackson provides multiple methods to convert JsonNode into Java objects. Let’s look at two of them.

4.1. Using readValue()

The readValue() method can be used to convert to List or Map using a TypeReference:

List<Person> readValueJsonNodeToList(JsonNode personsNode) throws IOException {
    TypeReference<List<Person>> typeReferenceList = new TypeReference<List<Person>>() {};
    return new ObjectMapper().readValue(personsNode.traverse(), typeReferenceList);
}

Map<String, Person> readValueJsonNodeToMap(JsonNode idToPersonsNode) throws IOException {
    TypeReference<Map<String, Person>> typeReferenceMap = new TypeReference<Map<String, Person>>() {};
    return new ObjectMapper().readValue(idToPersonsNode.traverse(), typeReferenceMap);
}

First, we create a TypeReference object by passing the exact type we need to convert to. We then call the readValue() method where JsonParser is provided by jsonNode.traverse(). Using the parser, it deserializes the node to a list or map as per the TypeReference we provide.

4.2. Using convertValue()

Similarly, we can use the convertValue() method:

List<Person> convertValueJsonNodeToList(JsonNode personsNode) {
    TypeReference<List<Person>> typeReferenceList = new TypeReference<List<Person>>() {};
    return new ObjectMapper().convertValue(personsNode, typeReferenceList);
}

Map<String, Person> convertValueJsonNodeToMap(JsonNode idToPersonsNode) {
    TypeReference<Map<String, Person>> typeReferenceMap = new TypeReference<Map<String, Person>>() {};
    return new ObjectMapper().convertValue(idToPersonsNode, typeReferenceMap);
}

The convertValue() method works by first serializing the input object and then deserializing it to the desired type. Therefore, it can be used more flexibly for converting from one object to another. For example, we could also use it for reverse comparison from a Java object to JsonNode.

5. Custom Deserializer

We can also provide a custom deserializer to perform the conversion. Let’s look at how we can define one:

public class CustomPersonListDeserializer extends JsonDeserializer<List<Person>> {
    @Override
    public List<Person> deserialize(com.fasterxml.jackson.core.JsonParser p, 
      com.fasterxml.jackson.databind.DeserializationContext ctxt) throws IOException {
        ObjectMapper objectMapper = (ObjectMapper) p.getCodec();
        List<Person> personList = new ArrayList<>();
        JsonNode personsNode = objectMapper.readTree(p);
        for (JsonNode node : personsNode) {
            personList.add(objectMapper.readValue(node.traverse(), Person.class));
        }

        return personList;
    }
}

Let’s look at a few important parts of the code:

  • First, the class extends Jackson’s JsonDeserializer.
  • Then, we override the deserialize() method and provide our implementation.
  • In the implementation, we get the ObjectMapper from the JsonParser object.
  • objectMapper.readTree() converts the entire tree represented by the parser into a JsonNode instance.
  • Finally, similar to the manual conversion, we convert each node in the JSON array to a Person object by looping over the nodes.

The deserializer works similarly to other methods, except it can provide a separation of concern. Additionally, custom deserializers provide flexibility as we can easily switch between deserializers in the calling code.

We’ll look at how to use the deserializer when we test the code in the next section.

6. Testing

Now that we have our different methods ready, let’s write some tests to verify them.

6.1. Setup

Let’s set up our test class:

public class JsonNodeToCollectionUnitTest {

    public static String jsonString = "{\"persons\":[{\"name\":\"John\",\"age\":30},{\"name\":\"Alice\",\"age\":25}],\"idToPerson\":{\"1234\":{\"name\":\"John\",\"age\":30},\"1235\":{\"name\":\"Alice\",\"age\":25}}}";

    static JsonNode completeJson;
    static JsonNode personsNode;
    static JsonNode idToPersonNode;

    @BeforeAll
    static void setup() throws JsonProcessingException {
        completeJson = new ObjectMapper().readTree(jsonString);
        personsNode = completeJson.get("persons");
        idToPersonNode = completeJson.get("idToPerson");
    }
}

Here, we define a JSON string that we can use as a test input. Then, we define a setup() method that executes before all tests. It sets up our input JsonNode objects.

6.2. Testing Conversion Methods

Next, let’s test our conversion methods:

@Test
void givenJsonNode_whenConvertingToList_thenFieldsAreCorrect() throws IOException {

    List<Person> personList1 = JsonNodeConversionUtil.manualJsonNodeToList(personsNode);
    List<Person> personList2 = JsonNodeConversionUtil.readValueJsonNodeToList(personsNode);
    List<Person> personList3 = JsonNodeConversionUtil.convertValueJsonNodeToList(personsNode);

    validateList(personList1);
    validateList(personList2);
    validateList(personList3);
}

private void validateList(List<Person> personList) {
    assertEquals(2, personList.size());

    Person person1 = personList.get(0);
    assertEquals("John", person1.getName());
    assertEquals(30, person1.getAge());

    Person person2 = personList.get(1);
    assertEquals("Alice", person2.getName());
    assertEquals(25, person2.getAge());
}

Here, we call each method and verify that the contents of the returned list are as we expected.

Let’s add a similar test for map conversions:

@Test
void givenJsonNode_whenConvertingToMap_thenFieldsAreCorrect() throws IOException {

    Map<String, Person> personMap1 = JsonNodeConversionUtil.manualJsonNodeToMap(idToPersonNode);
    Map<String, Person> personMap2 = JsonNodeConversionUtil.readValueJsonNodeToMap(idToPersonNode);
    Map<String, Person> personMap3 = JsonNodeConversionUtil.convertValueJsonNodeToMap(idToPersonNode);

    validateMapOfPersons(personMap1);
    validateMapOfPersons(personMap2);
    validateMapOfPersons(personMap3);
}

private void validateMapOfPersons(Map<String, Person> map) {
    assertEquals(2, map.size());

    Person person1 = map.get("1234");
    assertEquals("John", person1.getName());
    assertEquals(30, person1.getAge());

    Person person2 = map.get("1235");
    assertEquals("Alice", person2.getName());
    assertEquals(25, person2.getAge());
}

6.3. Testing Custom Deserializer

Let’s see how to use the custom deserializer and then compare the results:

@Test
void givenJsonNode_whenConvertingToListWithCustomDeserializer_thenFieldsAreCorrect() throws IOException {
    ObjectMapper objectMapper = new ObjectMapper();
    SimpleModule module = new SimpleModule();
    module.addDeserializer(List.class, new CustomPersonListDeserializer());
    objectMapper.registerModule(module);
    List<Person> personList = objectMapper.convertValue(personsNode, new TypeReference<List<Person>>() {
    });

    validateList(personList);
}

Here, we first wrap the CustomPersonListDeserializer in a module using the SimpleModule class. Then, we register this module with the ObjectMapper instance. By doing this, we instruct the ObjectMapper to use CustomPersonListDeserializer whenever a List needs to be deserialized.

When we call the convertValue() method next, the deserializer is used to return the output list.

7. Conclusion

In this article, we explored how to convert Jackson’s JsonNode into typed Java collections like List and Map. We discussed multiple methods to perform this operation and tested that they all provide the same output.

For small conversions, we may use the manual method. As the JSON size grows, using methods from Jackson’s library would be better. And if a more complex conversion is required, it would be better to provide our custom deserializer.

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.

Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

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.

Try a 14-Day Free Trial of Orkes Conductor today.

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.

Try a 14-Day Free Trial of Orkes Conductor today.

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)
announcement - icon

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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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Course – LS – NPI EA (cat=REST)

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

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eBook Jackson – NPI EA – 3 (cat = Jackson)