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 – Maven – NPI EA (cat = 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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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

One of the essential methods in PriorityQueue is the iterator() method. This method allows seamless traversal of the elements stored in the queue. In this tutorial, we’ll explore the iterator() method’s functionality and demonstrate its effective use in various scenarios.

2. Overview of PriorityQueue

The PriorityQueue class in Java functions as a data structure, enabling the storage of elements in a queue based on their priority.

PriorityQueue internally utilizes a binary heap, a tree-like structure where elements are arranged based on priority. The highest-priority element resides at the root, and child nodes inherit their parent’s priority. This arrangement ensures that the highest-priority element is positioned at the front while the lowest is placed at the back.

Additionally, the PriorityQueue class implements the Queue interface and offers a range of methods for manipulating the elements within the queue, including the iterator() method. The iterator() method is a part of the Iterable interface, and it is used to obtain an iterator over a collection of elements. The signature of the iterator() method is defined as:

public Iterator<E> iterator()

The iterator() method returns an Iterator over the elements in the queue. The type of parameter E specifies the type of elements in the queue. This method does not take any arguments

3. Iterator Characteristics

Let’s delve into the key characteristics of the iterator:

3.1. Fail-Fast Guarantee

The iterator returned by the iterator() method is a fail-fast iterator. This means that if we attempt to modify the queue (add or remove elements) while an iterator is in use, a ConcurrentModificationException will be thrown. This behavior ensures that the iterator will always reflect the current state of the queue.

In the code, we modify the PriorityQueue by adding one more element after we obtain the iterator:

PriorityQueue<Integer> numbers = new PriorityQueue<>();
numbers.add(3);
numbers.add(1);
numbers.add(2);

Iterator<Integer> iterator = numbers.iterator();
numbers.add(4);

try {
    while (iterator.hasNext()) {
        System.out.println(iterator.next());
    }
} catch (ConcurrentModificationException e) {
    System.out.println("ConcurrentModificationException occurred during iteration.");
}

The output of this program will be:

ConcurrentModificationException occurred during iteration.

3.2. Traversal Order

The iterator() method traverses the heap structure in a specific way, often based on the level-order traversal method. This means it visits elements level by level, starting from the top of the heap and working its way down. This approach is efficient for accessing elements but might not always produce a strictly priority-based order.

Let’s look at an example of how to use the iterator() method to iterate over the elements in a PriorityQueue:

PriorityQueue<Integer> queue = new PriorityQueue<>();
queue.add(3);
queue.add(1);
queue.add(2);

Iterator<Integer> iterator = queue.iterator();
while (iterator.hasNext()) {
    Integer element = iterator.next();
    System.out.println(element);
}

In this example, we create a PriorityQueue of integers and add three elements to it. We then obtain an iterator over the elements in the queue and use a while loop to iterate over the elements, printing each one to the console. The output of this program will be:

1
3
2

Internally, the PriorityQueue looks like:

   1
  / \
 3   2

During iteration, the iterator traverses the elements in level order, producing the order 1, 3, and 2. While this order maintains the general structure of the heap, it does not strictly adhere to the priority-based ordering.

4. Comparator Interface

In certain scenarios, we might want to order elements in the PriorityQueue based on a custom criterion. This can be achieved by utilizing the Comparator interface. This interface allows us to define a comparison function that can be used to order the elements in the queue.

The Comparator interface has a single compare() method, which takes two arguments of the same type and returns an integer value. The value returned by the compare() method determines the ordering of the elements in the queue.

Let’s consider the following example, where we have a Person class, and the requirement is to prioritize individuals based on their age. To address this, we’ll create a custom comparator:

class PersonAgeComparator implements Comparator<Person> {
    @Override
    public int compare(Person p1, Person p2) {
        return p1.age - p2.age; 
    }
}

Subsequently, we’ll create a PriorityQueue with custom ordering. We need to pass an instance of the PersonAgeComparator interface to the constructor of the PriorityQueue. The elements in the queue will then be ordered according to the comparison function defined by the Comparator:

PriorityQueue<Person> priorityQueue = new PriorityQueue<>(new PersonAgeComparator());

priorityQueue.add(new Person("Alice", 25));
priorityQueue.add(new Person("Bob", 30));
priorityQueue.add(new Person("Charlie", 22));

Iterator<Person> iterator = priorityQueue.iterator();

while (iterator.hasNext()) {
    Person person = iterator.next();
    System.out.println("Name: " + person.name + ", Age: " + person.age);
}

The output of this program will be:

Name: Charlie, Age: 22
Name: Bob, Age: 30
Name: Alice, Age: 25

5. Ordered Retrieval

The previous example didn’t display elements in strict ascending age order, even though we used a custom Comparator. The internal structure of PriorityQueue might lead to unexpected outcomes during direct iteration. This is because the iterator follows a level-order traversal, which results in a different sequence during iteration, as it visits elements level by level. 

To ensure elements are retrieved in the exact order of their priority, we can use the poll() method. This method specifically removes the element with the highest priority (in this case, the lowest age) from the PriorityQueue and returns it.

Let’s see how to use the poll() method to retrieve the element in ordering:

while (!priorityQueue.isEmpty()) {
    Person person = priorityQueue.poll();
    System.out.println("Name: " + person.name + ", Age: " + person.age);
}

The output of this program will now be:

Name: Charlie, Age: 22
Name: Alice, Age: 25
Name: Bob, Age: 30

6. Use Case

Although iterator() might not be ideal for strictly-ordered retrieval, it excels in scenarios where the priority order isn’t crucial — for instance, capitalizing the person’s name in PriorityQueue or calculating statistics like average age, regardless of priority. Let’s illustrate the use case with an example:

while (iterator.hasNext()) {
    Person person = iterator.next();
    person.setName(person.getName().toUpperCase());
}

7. Conclusion

In this article, we’ve explored the PriorityQueue class in Java, emphasizing the role of the iterator() method. It’s important to note that while the PriorityQueue maintains sorted order internally, the iterator() method does not guarantee traversal in that order. Therefore, we use the iterator() method to perform operations that don’t rely on the priority order.

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:

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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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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)