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.

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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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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 – 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.

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

Handling key-value-based data is a common requirement in various Java applications. Often, data arrives as Strings or String arrays, and it becomes essential to convert them into Maps for efficient processing. In the same context, Maps provide an easy way to access and manipulate data with key-value pairs, making them a powerful data structure for such scenarios.

In this article, we’ll explore different techniques to convert Strings and String arrays into Maps. We’ll also discuss how to handle duplicate keys when converting String arrays to Maps with Lists of values. Additionally, to ensure the correctness of our implementations.

2. Converting a String to Map

When we have a String with key-value pairs, we can convert it into a Map. The key-value pairs in the String must be separated by a delimiter, which could be any character, such as a comma, semicolon, or an equal sign.

Let’s see the following example:

public Map<String, String> convertStringToMap(String data) {
    Map<String, String> map = new HashMap<>();
    StringTokenizer tokenizer = new StringTokenizer(data, " ");

    while (tokenizer.hasMoreTokens()) {
        String token = tokenizer.nextToken();
        String[] keyValue = token.split("=");
        map.put(keyValue[0], keyValue[1]);
    }

    return map;
}

In this method, we use StringTokenizer() to split the String by the delimiter (comma in this case) and then use split(“=”) to extract the key and value. The resulting key-value pairs are added to the Map. Note that we trim the tokens to remove any leading or trailing whitespace.

Now, we’ll test the convertStringToMap() method, which takes a String containing key-value pairs and converts it into a Map as follows:

@Test
public void given_StringWithKeyValuePairs_whenUsing_convertStringToMap_thenMapCreated() {
    String data = "name=John age=30 city=NewYork";
    Map<String, String> expectedMap = new HashMap<>();
    expectedMap.put("name", "John");
    expectedMap.put("age", "30");
    expectedMap.put("city", "NewYork");
    Map<String, String> resultMap = convertStringToMap(data);
    assertEquals(expectedMap, resultMap);
}

This test method first defines a sample input data, which is a space-separated string with key-value pairs. It then creates an expectedMap that represents the expected output after conversion.

The test proceeds by calling the convertStringToMap(data) method to obtain the actual result in the resultMap. Finally, the assertEquals() method compares the expectedMap with the resultMap to ensure that the conversion is performed correctly and the output Map matches the expected one.

3. Converting an Array String to Map

If we have an array of Strings, where each element represents a key-value pair, we can convert it into a Map:

public Map<String, String> convertStringArrayToMap(String[] data) {
    Map<String, String> map = new HashMap<>();

    for (String keyValue : data) {
        String[] parts = keyValue.split("=");
        map.put(parts[0], parts[1]);
    }

    return map;
}

In this method, we iterate through the String array and split each element into key and value. Next, the resulting key-value pairs are added to the Map.

The following test method is used to validate the convertStringArrayToMap() method:

@Test
public void given_StringArrayWithKeyValuePairs_whenUsing_convertStringArrayToMap_thenMapCreated() {
    String[] data = {"name=John", "age=30", "city=NewYork"};
    Map<String, String> expectedMap = new HashMap<>();
    expectedMap.put("name", "John");
    expectedMap.put("age", "30");
    expectedMap.put("city", "NewYork");
    Map<String, String> resultMap = convertStringArrayToMap(data);
    assertEquals(expectedMap, resultMap);
}

The test method prepares a sample input by creating an array of Strings containing key-value pairs. Then, it generates an expectedMap to represent the desired output after the conversion.

Additionally, it calls the convertStringArrayToMap(data) method to get the actual result stored in the resultMap. Finally, the test uses assertEquals() to ensure that the conversion is correct and that the output Map matches the expected one.

4. Handling Duplicate Keys

In some cases, the String array may contain duplicate keys, and we might need to store multiple values associated with each key in the Map. To achieve this, we can use a Map with Lists of values as follows:

public Map<String, List<String>> convertStringArrayToMapWithDuplicates(String[] data) {
    Map<String, List<String>> map = new HashMap<>();

    for (String keyValue : data) {
        String[] parts = keyValue.split("=");
        String key = parts[0];
        String value = parts[1];

        if (map.containsKey(key)) {
            List<String> valuesList = map.get(key);
            valuesList.add(value);
        } else {
            List<String> valuesList = new ArrayList<>();
            valuesList.add(value);
            map.put(key, valuesList);
        }
    }

    return map;
}

In this method, we check if the key already exists in the Map. If it does, we retrieve the existing List of values and append the new value to it. Otherwise, we create a new entry in the Map with a new List containing the value.

The following test method is designed to test the convertStringArrayToMapWithDuplicates():

@Test
public void given_StringArrayWithKeyValuePairsWithDuplicates_whenUsing_convertStringArrayToMapWithDuplicates_thenMapCreatedWithLists() {
    String[] data = {"name=John", "age=30", "city=NewYork", "age=31"};
    Map<String, List<String>> expectedMap = new HashMap<>();
    expectedMap.put("name", Collections.singletonList("John"));
    expectedMap.put("age", Arrays.asList("30", "31"));
    expectedMap.put("city", Collections.singletonList("NewYork"));
    Map<String, List<String>> resultMap = convertStringArrayToMapWithDuplicates(data);
    assertEquals(expectedMap, resultMap);
}

The test method defines a sample input data, which contains some duplicate keys. It then creates an expectedMap that represents the expected output after conversion. The expectedMap includes Lists of values for keys duplicated in the input data.

The test proceeds by calling the convertStringArrayToMapWithDuplicates(data) method to obtain the actual result in the resultMap. Finally, the assertEquals() method is used to compare the expectedMap with the resultMap to ensure that the conversion is performed correctly and that the output Map with Lists of values matches the expected one.

5. Conclusion

In this article, we have explored different techniques for converting Strings and String arrays into Maps in Java. We covered basic conversions, handling duplicate keys, and provided JUnit test examples to ensure the correctness of the implementations.

By understanding these conversion techniques, we can efficiently process key-value-based data in our Java applications. Remember to consider the specific requirements of our project and choose the appropriate conversion method accordingly.

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:

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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:

>> 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?

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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

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