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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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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 – Persistence – NPI EA (cat=Persistence)
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Course – LS – NPI EA (cat=Jackson)
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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. Introduction

In this tutorial, we’ll implement two linked list reversal algorithms in Java.

2. Linked List Data Structure

A linked list is a linear data structure in which a pointer in each element determines the order. Each element of a linked list contains a data field to store the list data and a pointer field to point to the next element in the sequence. Also, we can use a head pointer to point to the start element of a linked list:

linked list

After we reverse the linked list, the head will point to the last element of the original linked list, and the pointer of each element will point to the previous element of the original linked list:

reversed linked list

In Java, we have a LinkedList class to provide a doubly-linked list implementation of the List and Deque interfaces. However, we’ll use a general singly-linked list data structure in this tutorial.

Let’s first start with a ListNode class to represent an element of a linked list:

public class ListNode {

    private int data;
    private ListNode next;

    ListNode(int data) {
        this.data = data;
        this.next = null;
    }

   // standard getters and setters
}

The ListNode class has two fields:

  • An integer value to represent the data of the element
  • A pointer/reference to the next element

A linked list may contain multiple ListNode objects. For example, we can construct the above sample linked list with a loop:

ListNode constructLinkedList() {
    ListNode head = null;
    ListNode tail = null;
    for (int i = 1; i <= 5; i++) {
        ListNode node = new ListNode(i);
        if (head == null) {
            head = node;
        } else {
            tail.setNext(node);
        }
        tail = node;
    }
    return head;
}

3. Iterative Algorithm Implementation

Let’s implement the iterative algorithm in Java:

ListNode reverseList(ListNode head) {
    ListNode previous = null;
    ListNode current = head;
    while (current != null) {
        ListNode nextElement = current.getNext();
        current.setNext(previous);
        previous = current;
        current = nextElement;
    }
    return previous;
}

In this iterative algorithm, we use two ListNode variables, previous and current, to represent two adjacent elements in the linked list. For each iteration, we reverse these two elements and then shift to the next two elements.

In the end, the current pointer will be null, and the previous pointer will be the last element of the old linked list. Therefore, previous is also the new head pointer of the reversed linked list, and we return it from the method.

We can verify this iterative implementation with a simple unit test:

@Test
void givenLinkedList_whenIterativeReverse_thenOutputCorrectResult() {
    ListNode head = constructLinkedList();
    ListNode node = head;
    for (int i = 1; i <= 5; i++) {
        assertNotNull(node);
        assertEquals(i, node.getData());
        node = node.getNext();
    }
 
    LinkedListReversal reversal = new LinkedListReversal();
    node = reversal.reverseList(head);
 
    for (int i = 5; i >= 1; i--) {
        assertNotNull(node);
        assertEquals(i, node.getData());
        node = node.getNext();
    }
}

In this unit test, we first construct a sample linked list with five nodes. Also, we verify that each node in the linked list contains the correct data value. Then, we call the iterative function to reverse the linked list. Finally, we check the reversed linked list to make sure the data are reversed as expected.

4. Recursive Algorithm Implementation

Now, let’s implement the recursive algorithm in Java:

ListNode reverseListRecursive(ListNode head) {
    if (head == null) {
        return null;
    }
    if (head.getNext() == null) {
        return head;
    }
    ListNode node = reverseListRecursive(head.getNext());
    head.getNext().setNext(head);
    head.setNext(null);
    return node;
}

In the reverseListRecursive function, we recursively visit each element in the linked list until we reach the last one. This last element will become the new head of the reversed linked list. Also, we append the visited element to the end of the partially reversed linked list.

Similarly, we can verify this recursive implementation with a simple unit test:

@Test
void givenLinkedList_whenRecursiveReverse_thenOutputCorrectResult() {
    ListNode head = constructLinkedList();
    ListNode node = head;
    for (int i = 1; i <= 5; i++) {
        assertNotNull(node);
        assertEquals(i, node.getData());
        node = node.getNext();
    }
 
    LinkedListReversal reversal = new LinkedListReversal();
    node = reversal.reverseListRecursive(head);
 
    for (int i = 5; i >= 1; i--) {
        assertNotNull(node);
        assertEquals(i, node.getData());
        node = node.getNext();
    }
}

5. Conclusion

In this tutorial, we implemented two algorithms to reverse a linked list.

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.
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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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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.

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