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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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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eBook – Maven – NPI EA (cat = Maven)
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eBook – Persistence – NPI EA (cat=Persistence)
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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Course – RWSB – NPI EA (cat=REST)
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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.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

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Course – LJB – NPI EA (cat = Core Java)
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Partner – LambdaTest – NPI EA (cat= Testing)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

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1. Overview

JSON (JavaScript Object Notation) is a lightweight, structured format used for data exchange. Modern software widely uses JSON for data exchange, configuration, and API communication. In Java, working with JSON often involves libraries like org.json, Jackson, or Gson. While converting a JSON object to a JSON array may seem straightforward, the correct approach depends on the input structure and the desired output format.

In this tutorial, we’ll demonstrate how to convert a JSON object to a JSON array using different libraries, with code examples and JUnit tests for validation.

2. Use Cases and Considerations

Converting a JSON object to a JSON array is a common requirement in applications that interact with REST APIs, data pipelines, or configuration files. This transformation often becomes necessary when data originally modeled as key-value pairs must be serialized, iterated over, or reformatted for compatibility with front-end frameworks or external systems. For example, APIs may expect an array of objects rather than a map, especially when rendering tabular data or processing form submissions.

Before choosing a conversion method, developers should assess whether they need only the values from the JSON object or both keys and values as distinct entities. We should also consider how to use the resulting JSON array. Whether for display, transmission, or further manipulation, as this directly impacts the choice of library and transformation strategy.

3. Approaches to Conversion

Let’s now walk through three different approaches for converting a JSON object into a JSON array. For each library, we’ll first build a method to encapsulate the logic and then verify its correctness using the respective Junit.

3.1. Using the org.json Library

The org.json library is simple, widely used, and already included in many Java projects. This library provides a minimal and straightforward API for working with JSON objects. It offers straightforward APIs for both JSONObject and JSONArray. Let’s create a few methods that handle both common scenarios:

JSONArray convertValuesToArray(JSONObject jsonObject) {
    return new JSONArray(jsonObject.toMap().values());
}

This method then extracts the values() collection and wraps it in a JSONArray, resulting in an array of values only.

Let’s now validate the method by passing a simple JSONObject and checking that all values appear in the JSONArray:

@Test
void givenFlatJSONObject_whenConvertValues_thenJSONArrayOfValues() {
    JSONObject jsonObject = new JSONObject();
    jsonObject.put("id", 1);
    jsonObject.put("name", "Alice");

    OrgJsonConverter converter = new OrgJsonConverter();
    JSONArray result = converter.convertValuesToArray(jsonObject);

    assertEquals(2, result.length());
    assertTrue(result.toList().contains("Alice"));
}

Next, we add another method that constructs a JSONArray where each element is a key-value pair represented as its own JSONObject:

JSONArray convertToEntryArray(JSONObject jsonObject) {
    JSONArray result = new JSONArray();
    for (String key : jsonObject.keySet()) {
        JSONObject entry = new JSONObject();
        entry.put("key", key);
        entry.put("value", jsonObject.get(key));
        result.put(entry);
    }
    return result;
}

This method iterates over each key in the JSONObject and creates a new JSONObject containing two fields, “key” and “value”.

In this test, we verify that each key-value pair is correctly converted into a JSONObject with key and value fields inside the resulting JSONArray.

@Test
void givenFlatJSONObject_whenConvertToEntryArray_thenJSONArrayOfObjects() {
    JSONObject jsonObject = new JSONObject();
    jsonObject.put("language", "Java");
    jsonObject.put("framework", "Spring");

    OrgJsonConverter converter = new OrgJsonConverter();
    JSONArray result = converter.convertToEntryArray(jsonObject);

    assertEquals(2, result.length());
    assertEquals("language", result.getJSONObject(0).get("key"));
}

3.2. Using Jackson with Custom Logic

Jackson is a multi-purpose Java library for processing JSON data. It provides greater control over JSON structures using its capabilities. Although Jackson primarily works with its tree model, we can still integrate it with JSONObject by converting it internally.

Let’s write a method that accepts a JSONObject, transforms it into Jackson’s internal model, and returns an ArrayNode:

ArrayNode convertToArray(JSONObject jsonObject) {
    ObjectMapper mapper = new ObjectMapper();
    JsonNode jsonNode = mapper.convertValue(jsonObject.toMap(), JsonNode.class);

    ArrayNode result = mapper.createArrayNode();
    jsonNode.fields().forEachRemaining(entry -> {
        ObjectNode obj = mapper.createObjectNode();
        obj.put("key", entry.getKey());
        obj.set("value", entry.getValue());
        result.add(obj);
    });

    return result;
}

We first convert the JSONObject to a Map and then use Jackson’s convertValue() to treat it as a JSONNode. From there, we loop over the fields and build an ArrayNode containing new key-value pairs. This method is powerful for more complex integrations.

Let’s test the Jackson-based method by converting a JSONObject with two key-value pairs and asserting that it structures them as individual key-value objects in the resulting ArrayNode:

@Test
void givenJSONObject_whenConvertToArray_thenArrayNodeOfKeyValueObjects() {
    JSONObject jsonObject = new JSONObject();
    jsonObject.put("country", "India");
    jsonObject.put("code", "IN");

    JacksonConverter converter = new JacksonConverter();
    ArrayNode result = converter.convertToArray(jsonObject);

    assertEquals(2, result.size());
    assertEquals("country", result.get(0).get("key").asText());
}

3.3. Using Gson With JSON Object

Gson is the next Java JSON library. It doesn’t accept JSON objects directly, but we can still use it by converting it to a map internally. Let’s build a method that creates a JsonArray from a JSONObject, where each element is a key-value pair:

JsonArray convertToKeyValueArray(JSONObject jsonObject) {
    JsonArray result = new JsonArray();
    jsonObject.keySet().forEach(key -> {
        JsonObject entry = new JsonObject();
        entry.addProperty("key", key);
        entry.add("value", com.google.gson.JsonParser.parseString(jsonObject.get(key).toString()));
        result.add(entry);
    });
    return result;
}

We iterate through the keys of the JSONObject and create a new JSONObject for each entry. Each new object holds the key and the parsed value. This approach works well with Gson APIs.

Here, we check if each entry in the JSONObject becomes a key-value object in the JsonArray:

@Test
void givenJSONObject_whenConvertToKeyValueArray_thenJsonArrayWithObjects() {
    JSONObject jsonObject = new JSONObject();
    jsonObject.put("brand", "Tesla");
    jsonObject.put("year", 2024);

    GsonConverter converter = new GsonConverter();
    JsonArray result = converter.convertToKeyValueArray(jsonObject);

    assertEquals(2, result.size());
    assertEquals("brand", result.get(0).getAsJsonObject().get("key").getAsString());
}

4. Conclusion

In this article, we explored ways to transform a JSON object to a JSON array using the most popular Java JSON libraries. The org.json library provides us with straightforward tools for both value-only and key-value pair conversions. Jackson excels when working with complex data models or integrating with other Jackson-based features. Gson provides a lightweight and clean way to achieve the same in Android or microservice environments.

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.

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:

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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 – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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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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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.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

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