DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Because the DevOps movement has redefined engineering responsibilities, SREs now have to become stewards of observability strategy.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

Related

  • JSON Handling With GSON in Java With OOP Essence
  • The Configure() Method in Jackson in JSON
  • Let's Unblock: Read Json Using GSON in Scala
  • Easy Mapping JSON to Java Objects Using Jackson

Trending

  • Traditional Testing and RAGAS: A Hybrid Strategy for Evaluating AI Chatbots
  • Distributed Consensus: Paxos vs. Raft and Modern Implementations
  • Navigating and Modernizing Legacy Codebases: A Developer's Guide to AI-Assisted Code Understanding
  • Tired of Spring Overhead? Try Dropwizard for Your Next Java Microservice
  1. DZone
  2. Coding
  3. Languages
  4. Jackson vs Gson: Edge Cases in JSON Parsing for Java Apps

Jackson vs Gson: Edge Cases in JSON Parsing for Java Apps

Jackson and Gson are popular JSON parsers for Java, but they handle edge cases like null values, type mismatches, and custom serialization differently.

By 
Sulakshana Singh user avatar
Sulakshana Singh
·
Feb. 07, 25 · Analysis
Likes (1)
Comment
Save
Tweet
Share
2.9K Views

Join the DZone community and get the full member experience.

Join For Free

JSON (Javascript Object Notation) is a collection of key-value pairs that can be easily parsed and generated by applications. It is a subset of JavaScript Programming Language Standard ECMA-262. The parsing of JSON is required in most applications, such as restful APIs or applications that need data serialization. 

In the Java ecosystem, the two most popular libraries for handling JSON data are Jackson and Gson. Both are used widely and offer unique advantages. This article uses edge-case examples to explore the features of both libraries on different parameters.

Brief Overview of Jackson and Gson

Jackson

Jackson was developed by FasterXML and is used in enterprise applications and frameworks such as Spring Boot. It offers parsing, serialization, and deserialization of JSON data. The following features make this library popular among developers:

  1. Jackson is the default JSON processing library in Spring Boot, which eliminates manual configuration in most cases.
  2. It facilitates JSON deserialization into generic types using TypeReference or JavaType.
  3. It provides different annotations to customize serialization and deserialization behavior.  For example, @JsonProperty(name) makes the mapping between the incoming key and the actual Java POJO field seamless.
  4. It provides extensive and robust support for bidirectional Databinding (JSON to POJO and vice versa), streaming API (API reads JSON into POJO), and Tree model parsing (an in-memory map of JSON objects).
  5. The Jackson library offers high performance due to minimizing memory overhead and optimizing serialization/deserialization (from JSON to POJO and vice versa).
  6. Jackson supports additional modules such as XML, YAML processing, and Kotlin, scala-specific enhancements.
  7. Annotations such as @JsonTypeInfo and @JsonSubTypes handle polymorphic types.
  8. It handles missing or additional fields in JSON data due to its backward and forward compatibility.
  9. Jackson provides support for immutable objects and classes with constructors, including those using builder patterns.
  10. The ObjectMapper class is thread-safe and, therefore, enables efficient use in multithreaded applications.

Gson

Gson was developed by Google and designed for converting JSON to Java objects (POJO) and vice versa. It is simple and ideal to use for smaller applications that need quick implementations. The open-source library offers the following key features:

  1. Gson has minimal external dependencies; therefore, it is easy to integrate.
  2. It supports nested objects and complex data types such as lists, maps, and custom classes.
  3. It can deserialize JSON into generic collections like List<T>, Map<K,V> using TypeToken.
  4. Gson Library’s JsonSerializer and JsonDeserializer interfaces allow customized implementation.
  5. The null values are excluded in the JSON output by default, and if required, null values can be included in the output.
  6. Annotations @SerializedName maps JSON keys to Java fields with different names.
  7. The Gson objects are thread-safe and, therefore, can be used in multithreaded applications.
  8. Class GsonBuilder can apply custom naming policies for fields. For example, FieldNamingPolicy.IDENTITY is the default policy, meaning the field name is unchanged.

Edge Cases Considered in This Comparison

Feature Jackson GSON

Extra Fields

Ignored by default, configurable.

Ignored by default.

Null values

Supports @JsonInclude.

Requires .serializeNulls().

Circular References

Supported using @JsonIdentityInfo.

Not supported directly.

Data Handling

Supports Java 8 Date API with modules.

Requires custom-type adapters.

Polymorphism

Built-in with @JsonTypeInfo.

Needs custom deserialization logic.


The input JSON considered for comparison with Jackson and Gson libraries is present on GitHub.

Input JSON considered for comparison with Jackson and Gson libraries

The model class representation of JSON is on GitHub.

Model class representation of JSON

Jackson Implementation

The above JSON is converted to a Java object using the Jackson libraries below:

XML
 
        <!-- Jackson START-->
		<dependency>
			<groupId>com.fasterxml.jackson.core</groupId>
			<artifactId>jackson-databind</artifactId>
			<version>2.18.2</version>
		</dependency>
		<dependency>
			<groupId>com.fasterxml.jackson.datatype</groupId>
			<artifactId>jackson-datatype-jsr310</artifactId>
			<version>2.18.2</version>
		</dependency>
		<!-- Jackson END-->


JSON Parsing main class using Jackson library:

Java
 
public class JacksonJsonMain {
    public static void main(String[] args) throws IOException {
        ObjectMapper mapper = new ObjectMapper();
        //Jackson Support for LocalDate using jackson-datatype-jsr310
        mapper.registerModule(new JavaTimeModule());
        //Configuration to ignore extra fields
        mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);

        // Deserialize the JSON
        EmployeeModelData employeeModelData = mapper.readValue(json, EmployeeModelData.class);
        Employee employee=employeeModelData.getEmployee();

        // display Json fields
        System.out.println("Jackson Library parsing output");
        System.out.println("Employee Name: " + employee.getName());
        System.out.println("Department Name: " + employee.getDepartment().getName());
        System.out.println("Skills: " + employee.getSkills());
        System.out.println("Team Members Count: " + employeeModelData.getTeamMembers().size());
    }
}


The output of the above class is as follows:

Output of the above class


Gson Implementation

The Gson dependency used to convert the above JSON to a Java object is below:

XML
 
       <!--GSON START -->
		<dependency>
			<groupId>com.google.code.gson</groupId>
			<artifactId>gson</artifactId>
			<version>2.11.0</version>
		</dependency>
		<!--GSON END -->


JSON parsing using GSON library main class:

Java
 
public class GsonJsonMain {
    public static void main(String[] args) {
        Gson gson = new GsonBuilder()
                .registerTypeAdapter(LocalDate.class, new LocalDateAdapter()) // Register LocalDate adapter
                .serializeNulls() // Handle null values
                .setPrettyPrinting() // Pretty print JSON
                .create();

        // Deserialize the JSON
        EmployeeModelData data = gson.fromJson(json, EmployeeModelData.class);

        // Print Employee information
        System.out.println("GSON Library parsing output");
        System.out.println("Employee Name: " + data.getEmployee().getName());
        System.out.println("Department Name: " + data.getEmployee().getDepartment().getName());
        System.out.println("Skills: " + data.getEmployee().getSkills());
        System.out.println("Team Members Count: " + data.getTeamMembers().size());
    }
}


The output of the above main class is as follows:

Output of the main class


Which One Should I Choose?

Jackson offers high performance; therefore, it must be used when projects involve complex data structures or large datasets, whereas Gson must be used when there are smaller datasets and the data structure is simple.

Conclusion

Both libraries can handle the above dataset effectively and are excellent while processing JSON parsing in JAVA. The comparison mentioned above helps one to choose the right library based on project requirements.

The code snippets mentioned above are available in the GitHub repository.

A detailed comparison between Jackson and Gson is available on Baeldung. The Jackson official Documentation offers in-depth information on Jackson’s features and configuration. Similarly, Gson Official documentation provides a detailed implementation guide.

Gson JSON applications Jackson (API)

Opinions expressed by DZone contributors are their own.

Related

  • JSON Handling With GSON in Java With OOP Essence
  • The Configure() Method in Jackson in JSON
  • Let's Unblock: Read Json Using GSON in Scala
  • Easy Mapping JSON to Java Objects Using Jackson

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!