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, 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.

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 – 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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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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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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By automating these tests, teams can quickly detect issues related to screen reader compatibility, keyboard navigation, color contrast, and other aspects that could pose a barrier to using the software effectively for people with disabilities.

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

In this article we’ll explore the various ways we can control if a field is serialized / deserialized by Jackson or not.

2. A Public Field

The simplest way to make sure a field is both serializable and deserializable is to make it public.

Let’s declare a simple class with a public, a package-private and a private

public class MyDtoAccessLevel {
    private String stringValue;
    int intValue;
    protected float floatValue;
    public boolean booleanValue;
    // NO setters or getters
}

Out of the four fields of the class, just the public booleanValue will be serialized to JSON by default:

@Test
public void givenDifferentAccessLevels_whenPublic_thenSerializable() 
  throws JsonProcessingException {
    ObjectMapper mapper = new ObjectMapper();

    MyDtoAccessLevel dtoObject = new MyDtoAccessLevel();

    String dtoAsString = mapper.writeValueAsString(dtoObject);
    assertThat(dtoAsString, not(containsString("stringValue")));
    assertThat(dtoAsString, not(containsString("intValue")));
    assertThat(dtoAsString, not(containsString("floatValue")));

    assertThat(dtoAsString, containsString("booleanValue"));
}

3. A Getter Makes a Non-Public Field Serializable and Deserializable

Now, another simple way to make a field – especially a non-public field – serializable, is to add a getter for it:

public class MyDtoWithGetter {
    private String stringValue;
    private int intValue;

    public String getStringValue() {
        return stringValue;
    }
}

We now expect the stringValue field to be serializable, while the other private field not to be, as it has no getter:

@Test
public void givenDifferentAccessLevels_whenGetterAdded_thenSerializable() 
  throws JsonProcessingException {
    ObjectMapper mapper = new ObjectMapper();

    MyDtoGetter dtoObject = new MyDtoGetter();

    String dtoAsString = mapper.writeValueAsString(dtoObject);
    assertThat(dtoAsString, containsString("stringValue"));
    assertThat(dtoAsString, not(containsString("intValue")));
}

Unintuitively, the getter also makes the private field deserializable as well – because once it has a getter, the field is considered a property.

Let’s look at how that work:

@Test
public void givenDifferentAccessLevels_whenGetterAdded_thenDeserializable() 
  throws JsonProcessingException, JsonMappingException, IOException {
    String jsonAsString = "{\"stringValue\":\"dtoString\"}";
    ObjectMapper mapper = new ObjectMapper();
    MyDtoWithGetter dtoObject = mapper.readValue(jsonAsString, MyDtoWithGetter.class);

    assertThat(dtoObject.getStringValue(), equalTo("dtoString"));
}

4. A Setter Makes a Non-Public Field Deserializable Only

We saw how the getter made the private field both serializable and deserializable. On the other hand, a setter will only mark the non-public field as deserializable:

public class MyDtoWithSetter {
    private int intValue;

    public void setIntValue(int intValue) {
        this.intValue = intValue;
    }

    public int accessIntValue() {
        return intValue;
    }
}

As you can see, the private intValue field only has a setter this time. We do have a way to access the value, but that’s not a standard getter.

The unmarshalling process for intValue should work correctly:

@Test
public void givenDifferentAccessLevels_whenSetterAdded_thenDeserializable() 
  throws JsonProcessingException, JsonMappingException, IOException {
    String jsonAsString = "{\"intValue\":1}";
    ObjectMapper mapper = new ObjectMapper();

    MyDtoSetter dtoObject = mapper.readValue(jsonAsString, MyDtoSetter.class);

    assertThat(dtoObject.anotherGetIntValue(), equalTo(1));
}

And as we mentioned, the setter should only make the field deserializable, but not serializable:

@Test
public void givenDifferentAccessLevels_whenSetterAdded_thenStillNotSerializable() 
  throws JsonProcessingException {
    ObjectMapper mapper = new ObjectMapper();

    MyDtoSetter dtoObject = new MyDtoSetter();

    String dtoAsString = mapper.writeValueAsString(dtoObject);
    assertThat(dtoAsString, not(containsString("intValue")));
}

5. Make All Fields Globally Serializable

In some cases where, for example, you might not actually be able to modify the source code directly – we need to configure the way Jackson deals with non-public fields from the outside.

That kind of global configuration can be done at the ObjectMapper level, by turning on the AutoDetect function to use either public fields or getter/setter methods for serialization, or maybe turn on serialization for all fields:

ObjectMapper mapper = new ObjectMapper();
mapper.setVisibility(PropertyAccessor.ALL, Visibility.NONE);
mapper.setVisibility(PropertyAccessor.FIELD, Visibility.ANY);

The following test case verifies all member fields (including non-public) of MyDtoAccessLevel are serializable:

@Test
public void givenDifferentAccessLevels_whenSetVisibility_thenSerializable() 
  throws JsonProcessingException {
    ObjectMapper mapper = new ObjectMapper();
    mapper.setVisibility(PropertyAccessor.FIELD, Visibility.ANY);

    MyDtoAccessLevel dtoObject = new MyDtoAccessLevel();

    String dtoAsString = mapper.writeValueAsString(dtoObject);
    assertThat(dtoAsString, containsString("stringValue"));
    assertThat(dtoAsString, containsString("intValue"));
    assertThat(dtoAsString, containsString("booleanValue"));
}

6. Change the Name of a Property on Serialization/Deserialization

Going beyond controlling which field gets serialized or deserialized, you can also have control over the way a fields maps to JSON and back. I covered this configuration here.

7. Ignore a Field on Serialization or Deserialization

Following this tutorial, we have a guide for how to ignore a field completely on serialization and deserialization.

However, sometimes we only need to ignore the field on either, but not on both. Jackson is flexible enough to accommodate this interesting usecase as well.

The following example shows a User object which contains sensitive password information which shouldn’t be serialized to JSON.

To get there, we simply add the @JsonIgnore annotation on the getter of the password, and enable deserialization for the field by applying the @JsonProperty annotation on the setter:

@JsonIgnore
public String getPassword() {
    return password;
}
@JsonProperty
public void setPassword(String password) {
    this.password = password;
}

Now the password information won’t be serialized to JSON:

@Test
public void givenFieldTypeIsIgnoredOnlyAtSerialization_whenUserIsSerialized_thenIgnored() 
  throws JsonProcessingException {
    ObjectMapper mapper = new ObjectMapper();

    User userObject = new User();
    userObject.setPassword("thePassword");

    String userAsString = mapper.writeValueAsString(userObject);
    assertThat(userAsString, not(containsString("password")));
    assertThat(userAsString, not(containsString("thePassword")));
}

However, the JSON containing the password will be successfully deserialized to the User object:

@Test
public void givenFieldTypeIsIgnoredOnlyAtSerialization_whenUserIsDeserialized_thenCorrect() 
  throws JsonParseException, JsonMappingException, IOException {
    String jsonAsString = "{\"password\":\"thePassword\"}";
    ObjectMapper mapper = new ObjectMapper();

    User userObject = mapper.readValue(jsonAsString, User.class);

    assertThat(userObject.getPassword(), equalTo("thePassword"));
}

8. Conclusion

This tutorial goes over the basic of how Jackson chooses which field is serialized/deserialized and which gets ignored in the process and of course how to get fully control over it.

You may also get to the next step in understanding Jackson 2 by diving deeper with articles such as ignoring a field, deserializing a JSON Array to a Java Array or Collection.

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.

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)
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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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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

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

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