Jackson and JSON in Java, finally learn with a coding-first approach:
>> Download the eBookMocking 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.
Get started with mocking and improve your application tests using our Mockito guide:
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:
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:
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:
Get started with Spring and Spring Boot, through the Learn Spring course:
>> LEARN SPRINGExplore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:
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:
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:
Refactor Java code safely β and automatically β with OpenRewrite.
Refactoring big codebases by hand is slow, risky, and easy to put off. Thatβs 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 β one for newcomers and one for experienced users. Youβll see how recipes work, how to apply them across projects, and how to modernize code with confidence.
Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.
1. Overview
When serializing Java objects to JSON, itβs common to omit properties that donβt carry meaningful values. Jackson provides several ways to exclude null fields from the output, depending on how broadly the behavior should apply.
In this tutorial, we look at how to ignore null values at the class level, the field level, and globally through the ObjectMapper.
Further reading:
Jackson - Change Name of Field
Jackson - Decide What Fields Get Serialized/Deserialized
2. Ignore Null Fields on the Class
Jackson supports configuring null exclusion directly on a class. This approach scopes the behavior to a single type and keeps global configuration untouched:
@JsonInclude(Include.NON_NULL)
public class MyDto { ... }
For finer control, the same annotation can be applied to individual fields instead:
public class MyDto {
@JsonInclude(Include.NON_NULL)
private String stringValue;
private int intValue;
// standard getters and setters
}
With either approach, Jackson omits the annotated null values during serialization.
Letβs verify the behavior with a simple test case:
@Test
public void givenNullsIgnoredOnClass_whenWritingObjectWithNullField_thenIgnored()
throws JsonProcessingException {
ObjectMapper mapper = new ObjectMapper();
MyDto dtoObject = new MyDto();
String dtoAsString = mapper.writeValueAsString(dtoObject);
assertThat(dtoAsString, containsString("intValue"));
assertThat(dtoAsString, not(containsString("stringValue")));
}
Thus, we confirm that applying the annotation at the class or field level prevents null values from appearing in the JSON output.
3. Ignore Null Fields Globally
Additionally, some applications require consistent null exclusion across all serialized classes.
Specifically, we configure this behavior on the ObjectMapper using default property inclusion:
ObjectMapper mapper = new ObjectMapper();
mapper.setDefaultPropertyInclusion(
JsonInclude.Value.construct(
JsonInclude.Include.NON_NULL,
JsonInclude.Include.NON_NULL
)
);
With this configuration in place, the mapper omits null properties from the resulting JSON.
Notably, the behavior applies consistently without requiring annotations on individual classes:
@Test
public void givenNullsIgnoredGlobally_whenWritingObjectWithNullField_thenIgnored()
throws JsonProcessingException {
ObjectMapper mapper = new ObjectMapper();
mapper.setDefaultPropertyInclusion(
JsonInclude.Value.construct(
JsonInclude.Include.NON_NULL,
JsonInclude.Include.NON_NULL
)
);
MyDto dtoObject = new MyDto();
String dtoAsString = mapper.writeValueAsString(dtoObject);
assertThat(dtoAsString, containsString("intValue"));
assertThat(dtoAsString, not(containsString("stringValue")));
}
This way, we verify that the global configuration applies uniformly to all serialized objects handled by the mapper.
4. Conclusion
In this article, we covered several ways to exclude null fields when serializing objects with Jackson. Class-level and field-level annotations provide fine-grained control, while global configuration ensures consistent behavior across an application.
