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:

>> Join Pro and download the eBook

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:

>> Download the eBook

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:

>> Join Pro and 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 – 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:

>> LEARN SPRING
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:

>> The New “REST With Spring Boot”

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:

>> Learn Spring Security

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:

>> CHECK OUT THE COURSE

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. Overview

Some programming scenarios require grouping dynamic lists while still maintaining fast index-based access. An array of linked lists offers an effective solution by combining the fixed-position access of arrays with the flexible structure of linked lists.

In this tutorial, we’ll explore what an array of linked lists is, where it fits in real-world scenarios, and how to implement and test it effectively in Java.

2. What Is an Array of Linked Lists?

In Java, an array of linked lists is a structure where each index holds a LinkedList<T> instead of a single value. This lets us maintain indexed access while supporting dynamic insertion and deletion at each index:

LinkedList<Integer>[] listArray = new LinkedList[3];

Each slot is initialized with a LinkedList and can be accessed just like any array element:

listArray[0] = new LinkedList<>();
listArray[0].add(5);

It’s useful when we need both fast access by index and flexible storage within each group.

Now, let’s explore some of its use cases.

3. Where Can We Use an Array of Linked Lists?

This structure isn’t just a coding trick; it solves real problems. Here are a few scenarios where it shines:

  • Graph representation (Adjacency List): Each node in a graph can store a list of adjacent nodes. An array of linked lists is an ideal structure for this.
  • Hash table with chaining: When multiple keys hash to the same index, a linked list can store the colliding values at that index.
  • Bucket sort: This sorting algorithm divides numbers into buckets based on their range and sorts each bucket individually.
  • Index-based grouping: Items such as users, logs, or events can be categorized by attributes like priority, region, or age group using indexed lists.

Now that we understand why we’d use this data structure, we’ll examine several ways to implement it.

4. Using an Array of Linked Lists

To demonstrate the use of an array of linked lists, let’s consider the following problem.

Given a list of integers, let’s categorize them into three groups:

  • Group 0: Numbers less than 10
  • Group 1: Numbers from 10 to 19
  • Group 2: Numbers 20 and above

Let’s define a few utility methods to handle grouping our numbers into the appropriate linked lists. These helpers show how we intend to use this data structure after we’ve created it, so that we can focus on the various ways to create these data structures.

We’ll provide two versions of the utility method allocateNumbers(), one for an outer List, and the other for an outer Array.

The first version works with a List of linked lists:

public static void allocateNumbers(int[] numbers, List<LinkedList<Integer>> groups) {
    for (int num : numbers) {
        int index = (num < 10) ? 0 : (num < 20 ? 1 : 2);
        groups.get(index).add(num);
    }
}

The second version uses an array of linked lists:

public static void allocateNumbers(int[] numbers, LinkedList<Integer>[] groups) {
    for (int num : numbers) {
        int index = (num < 10) ? 0 : (num < 20 ? 1 : 2);
        groups[index].add(num);
    }
}

In both examples, we use ternaries to select the index of the linked list that we want to store the number in, before adding that number to the correct list.

Now that we know how we’ll use these data structures, let’s focus on the various ways to create an array of linked lists.

5. Using a Raw Array with an Initialization Loop

Using a raw array is the most direct way to create an array of linked lists. We’ll declare an array of the desired size and then initialize each element of the array:

public static LinkedList<Integer>[] createUsingRawArray() {
    @SuppressWarnings("unchecked")
    LinkedList<Integer>[] groups = new LinkedList[3];
    for (int i = 0; i < groups.length; i++) {
        groups[i] = new LinkedList<>();
    }
    return groups;
}

In this method, we create a raw array of size three to hold three linked lists. Since Java doesn’t allow direct creation of generic arrays, we suppress the warning with @SuppressWarnings(“unchecked”). Then, we loop through the array and initialize each slot with a new LinkedList. This approach gives us fast index access and is ideal when the size is fixed.

Now, we can use this to group some numbers in our expected way:

int[] numbers = {3, 7, 12, 19, 25, 32};
LinkedList<Integer>[] groups = createUsingRawArray();
LinkedListArray.allocateNumbers(numbers, groups);

This creates the data structure and then fills each list with numbers from the given array according to our grouping rule.

The raw array approach mirrors how arrays are used in C-style languages and is perfect for fixed-size bucket-style problems.

6. Using a List of LinkedLists

Rather than using a raw Array, a safer and more flexible option is to use an ArrayList to store the LinkedList objects:

public static List<LinkedList<Integer>> createUsingList() {
    List<LinkedList<Integer>> groups = new ArrayList<>();
    for (int i = 0; i < 3; i++) {
        groups.add(new LinkedList<>());
    }
    return groups;
}

Here, we create an ArrayList and add three empty linked lists to it. This approach is fully type-safe and avoids unchecked warnings. It’s slightly more flexible than using a raw array, and it’s a common pattern in real-world Java applications.

Let’s use this approach for our problem:

int[] numbers = {3, 7, 12, 19, 25, 32};
List<LinkedList<Integer>> groups = createUsingList();
LinkedListArray.allocateNumbers(numbers, groups);

We first build the data structure and then use our utility method to group the numbers.

7. Using Java 8 Streams

If we prefer a functional style, we can use the Stream API, first introduced in Java 8. It can populate a list of linked lists concisely:

public static List<LinkedList<Integer>> createUsingStreams() {
    List<LinkedList<Integer>> groups = new ArrayList<>();
    IntStream.range(0, 3).forEach(i -> groups.add(new LinkedList<>()));
    return groups;
}

Here, we use IntStream.range() to loop from zero to two, and for each index, we add a new linked list to the main list.

We can use this data structure in the same way:

List<LinkedList<Integer>> groups = createUsingStreams();
LinkedListArray.allocateNumbers(numbers, groups);

This is useful when we prefer declarative style code or want to reduce boilerplate.

8. Using Arrays.setAll() for Java 8+ Versions

If sticking to raw arrays is important, but there’s a desire to avoid explicit loops, we can use Arrays.setAll(). This method lets us assign values to each index without writing an explicit loop:

public static LinkedList<Integer>[] createUsingSetAll() {
    @SuppressWarnings("unchecked")
    LinkedList<Integer>[] groups = new LinkedList[3];
    Arrays.setAll(groups, i -> new LinkedList<>());
    return groups;
}

We still need to suppress the warning because we’re creating a raw array, but Arrays.setAll() makes the initialization step cleaner. It sets each index in the array with a new linked list.

Let’s apply it to our problem:

LinkedList<Integer>[] groups = createUsingSetAll();
LinkedListArray.allocateNumbers(numbers, groups);

This approach is concise and expressive, especially if we’re working with Java 8 or later.

9. Conclusion

In this article, we used an array of linked lists to combine indexed access with dynamic data handling. Whether modeling graphs, implementing hash tables with chaining, or organizing elements into multiple dynamic lists, this structure is both versatile and efficient.

Java supports several approaches to creating and organizing arrays of linked lists. This includes raw arrays with manual initialization to more modern, type-safe alternatives with lists or streams. Each method has its trade-offs, and the right choice depends on the use case, performance goals, and code readability preferences.

As always, the code presented in this article is available over on GitHub.

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)
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