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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Let's get started with a Microservice Architecture with 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.

Get started with mocking and improve your application tests using our Mockito guide:

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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 – 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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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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

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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.

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:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Partner – LambdaTest – NPI EA (cat=Testing)
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Accessibility testing is a crucial aspect to ensure that your application is usable for everyone and meets accessibility standards that are required in many countries.

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.

Learn how to automate accessibility testing with Selenium and the LambdaTest cloud-based testing platform that lets developers and testers perform accessibility automation on over 3000+ real environments:

Automated Accessibility Testing With Selenium

1. Introduction

In this tutorial, we’ll explore how to convert a Gson JsonArray to a HashMap in Java. By the end of this tutorial, we’ll understand the process of iterating over a JsonArray, extracting its elements, and storing them in a HashMap.

2. Understanding Gson JsonArray and HashMap Structures

A Gson JsonArray is a part of the Gson library and we use it to represent an array of JSON elements. Here’s an example structure of a JsonArray:

[
    {"name": "John Doe", "age": 35},
    {"name": "Mary Jenn", "age": 41}
]

On the other hand, a HashMap is a collection that stores key-value pairs, where each key maps to a specific value. Each key in the HashMap must be unique, meaning that no two keys can map to the same value. If we attempt to add a duplicate key, the new value overwrites the existing value associated with that key.

3. Iterative Approach

In this approach, we manually iterate over each element of the JsonArray object and populate a HashMap with the key-value pairs extracted from each JsonObject:

Map<String, Integer> convertUsingIterative (JsonArray jsonArray) {
    Map<String, Integer> hashMap = new HashMap<>();
    for (JsonElement element : jsonArray) {
        JsonObject jsonObject = element.getAsJsonObject();
        String type = jsonObject.get("name").getAsString();
        Integer amount = jsonObject.get("age").getAsInt();
        hashMap.put(type, amount);
    }
    return hashMap;
}

We start by creating an empty HashMap to store the resulting key-value pairs. Then, we loop through each element in the JsonArray. Each JsonElement is converted to a JsonObject to facilitate the extraction of its fields.

When using Gson, numeric values are often represented as JsonPrimitive objects containing Number instances. In this example, we extract the values of name and age from the jsonObject using getAsString() and getAsInt() methods respectively.

In addition, to validate this approach, we can create a test case that constructs a sample JsonArray and asserts the expected results.

Before running our tests, we can use the @BeforeEach annotation to set up some test data:

@BeforeEach
void setUp() {
    jsonArray = new JsonArray();

    JsonObject jsonObject1 = new JsonObject();
    jsonObject1.addProperty("name", "John Doe");
    jsonObject1.addProperty("age", 35);
    jsonArray.add(jsonObject1);

    JsonObject jsonObject2 = new JsonObject();
    jsonObject2.addProperty("name", "Mary Jenn");
    jsonObject2.addProperty("age", 41);
    jsonArray.add(jsonObject2);
}

We can now proceed to write a test case that validates the conversion of a JsonArray to a HashMap:

Map<String, Integer> hashMap = JSONArrayToHashMapConverter.convertUsingIterative(jsonArray);

assertEquals(35, hashMap.get("John Doe"));
assertEquals(41, hashMap.get("Mary Jenn"));

This approach is straightforward and effective for scenarios where we need precise control over each element in the JsonArray.

4. Streams Approach

The second approach utilizes Java Streams, allowing us to perform the conversion in a more functional and concise manner. This method efficiently processes each element in the JsonArray and accumulates the results into a HashMap:

Map<String, Integer> convertUsingStreams (JsonArray jsonArray) {
    return StreamSupport.stream(jsonArray.spliterator(), false)
      .map(JsonElement::getAsJsonObject)
      .collect(Collectors.toMap(
        jsonObject -> jsonObject.get("name").getAsString(),
        jsonObject -> jsonObject.get("age").getAsInt()
    ));
}

We begin by creating a stream from the JsonArray. We achieve this with the StreamSupport.stream() method, which takes a Spliterator for the JsonArray and a flag indicating whether the stream should be parallel (in this case, false for sequential processing).

In the map() function, each JsonElement is converted to a JsonObject, which allows us to extract specific fields from the JSON objects. Next, we use the collect() method with Collectors.toMap() to gather these JsonObject entries into a HashMap.

To ensure this method works correctly, we can create a similar test case:

Map<String, Integer> hashMap = JSONArrayToHashMapConverter.convertUsingStreams(jsonArray);

assertEquals(35, hashMap.get("John Doe"));
assertEquals(41, hashMap.get("Mary Jenn")); 

We can use this method for processing large datasets efficiently and it’s well-suited for functional programming enthusiasts as well.

5. Using fromJson() Approach

In the final approach, we utilize Gson’s fromJson() method to convert a JsonArray into a list of maps. This approach leverages Gson’s built-in functionality to simplify the conversion process and then merges these maps into a single HashMap:

Map<String, Integer> convertUsingGson(JsonArray jsonArray) {
    Map<String, Integer> hashMap = new HashMap<>();
    Gson gson = new Gson();
    List<Map<String, Object>> list = new Gson().fromJson(jsonArray, List.class);
    for (Map<String, Object> entry : list) {
        String type = (String) map.get("name");
        Integer amount = ((Double) map.get("age")).intValue(); // Gson parses numbers as Double
        hashMap.put(type, amount);
    }
    return hashMap;
}

First, we use Gson to parse the JsonArray and convert it into a list of Map objects. Each Map represents a JSON object with key-value pairs. We iterate through each map object in the list and extract the name field as a String and the age field as a Double.

Moreover, we convert the age value to an Integer using intValue() because Gson parses numbers as Double by default. Let’s validate our implementation:

Map<String, Integer> hashMap = JSONArrayToHashMapConverter.convertUsingGson(jsonArray);

assertEquals(35, hashMap.get("John Doe"));
assertEquals(41, hashMap.get("Mary Jenn")); 

6. Conclusion

In this article, we’ve explored three methods to convert a Gson JsonArray to a HashMap in Java. The iterative method is useful for complex transformations, the stream approach is ideal for handling large JSON datasets efficiently. In contrast, the Gson method is best suited for straightforward conversions.

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:

>> Explore a clean Baeldung

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:

>> Download the eBook

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?

Explore the eBook

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

Course – LS – NPI EA (cat=REST)

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

>> CHECK OUT THE COURSE

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