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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.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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1. Overview

This is the third article in a series about XStream. If you want to learn about its basic use in converting Java objects to XML and vice versa, please refer to the previous articles.

Beyond its XML-handling capabilities, XStream can also convert Java objects to and from JSON. In this tutorial, we will learn about these features.

2. Prerequisites

Before reading this tutorial, please go through the first article in this series, in which we explain the basics of the library.

3. Dependencies

<dependency>
    <groupId>com.thoughtworks.xstream</groupId>
    <artifactId>xstream</artifactId>
    <version>1.4.18</version>
</dependency>

4. JSON Drivers

In the previous articles, we learned how to set up an XStream instance and to select an XML driver. Similarly, there are two drivers available to convert objects to and from JSON: JsonHierarchicalStreamDriver and JettisonMappedXmlDriver.

4.1. JsonHierarchicalStreamDriver

This driver class can serialize objects to JSON, but is not capable of deserializing back to objects. It does not require any extra dependencies, and its driver class is self-contained.

4.2. JettisonMappedXmlDriver

This driver class is capable of converting JSON to and from objects. Using this driver class, we need to add an extra dependency for jettison.

<dependency>
    <groupId>org.codehaus.jettison</groupId>
    <artifactId>jettison</artifactId>
    <version>1.4.1</version>
</dependency>

5. Serializing an Object to JSON

Let’s create a Customer class:

public class Customer {

    private String firstName;
    private String lastName;
    private Date dob;
    private String age;
    private List<ContactDetails> contactDetailsList;
       
    // getters and setters
}

Note that we have (perhaps unexpectedly) created age as a String. We will explain this choice later.

5.1. Using JsonHierarchicalStreamDriver

We will pass a JsonHierarchicalStreamDriver to create an XStream instance.

xstream = new XStream(new JsonHierarchicalStreamDriver());
dataJson = xstream.toXML(customer);

This generates the following JSON:

{
  "com.baeldung.pojo.Customer": {
    "firstName": "John",
    "lastName": "Doe",
    "dob": "1986-02-14 16:22:18.186 UTC",
    "age": "30",
    "contactDetailsList": [
      {
        "mobile": "6673543265",
        "landline": "0124-2460311"
      },
      {
        "mobile": "4676543565",
        "landline": "0120-223312"
      }
    ]
  }
}

5.2. JettisonMappedXmlDriver Implementation

We will pass a JettisonMappedXmlDriver class to create an instance.

xstream = new XStream(new JettisonMappedXmlDriver());
dataJson = xstream.toXML(customer);

This generates the following JSON:

{
  "com.baeldung.pojo.Customer": {
    "firstName": "John",
    "lastName": "Doe",
    "dob": "1986-02-14 16:25:50.745 UTC",
    "age": 30,
    "contactDetailsList": [
      {
        "com.baeldung.pojo.ContactDetails": [
          {
            "mobile": 6673543265,
            "landline": "0124-2460311"
          },
          {
            "mobile": 4676543565,
            "landline": "0120-223312"
          }
        ]
      }
    ]
  }
}

5.3. Analysis

Based on the output from the two drivers, we can clearly see that there are some slight differences in the generated JSON. For example, JettisonMappedXmlDriver omits the double quotes for numeric values despite the data type being java.lang.String:

"mobile": 4676543565,
"age": 30,

JsonHierarchicalStreamDriver, on the other hand, retains the double quotes.

6. Deserializing JSON to an Object

Let’s take the following JSON to convert it back to a Customer object:

{
  "customer": {
    "firstName": "John",
    "lastName": "Doe",
    "dob": "1986-02-14 16:41:01.987 UTC",
    "age": 30,
    "contactDetailsList": [
      {
        "com.baeldung.pojo.ContactDetails": [
          {
            "mobile": 6673543265,
            "landline": "0124-2460311"
          },
          {
            "mobile": 4676543565,
            "landline": "0120-223312"
          }
        ]
      }
    ]
  }
}

Recall that only one of the drivers (JettisonMappedXMLDriver) can deserialize JSON. Attempting to use JsonHierarchicalStreamDriver for this purpose will result in an UnsupportedOperationException.

Using the Jettison driver, we can deserialize the Customer object:

customer = (Customer) xstream.fromXML(dataJson);

7. Conclusion

In this article we have covered the JSON handling capabilities XStream, converting objects to and from JSON. We also looked at how we can tweak our JSON output, making it shorter, simpler and more readable.

As with XStream’s XML processing, there are other ways we can further customize the way JSON is serialized by configuring the instance, using either annotations or programmatic configuration. For more details and examples, please refer to the first article in this series.

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.
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eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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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.

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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.

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