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.

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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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.

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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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Code your way through and build up a solid, practical foundation of 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:

>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

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.

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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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)