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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Course – LS – NPI EA (cat=Jackson)
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Course – RWSB – NPI EA (cat=REST)
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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.

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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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1. Introduction

Iterating over a List is a common operation in Java, but adding elements to it while iterating requires careful consideration to avoid exceptions and ensure the correctness of the code.

In this tutorial, we’ll discuss several methods for adding elements to a collection during iteration.

2. Utilizing the ListIterator Class

One common approach is a ListIterator, which provides bidirectional traversal and modification capabilities for lists.

2.1. String Scenario

Consider the following example, where we add the element JavaScript to the list of programming languages after encountering Python:

List<String> programmingLanguages = new ArrayList<>(List.of("Java", "Python", "C++"));

@Test
public void givenList_whenAddElementWithListIterator_thenModifiedList() {
    ListIterator<String> listIterator = programmingLanguages.listIterator();
    while (listIterator.hasNext()) {
        String language = listIterator.next();
        if (language.equals("Python")) {
            listIterator.add("JavaScript");
        }
    }
    assertIterableEquals(Arrays.asList("Java", "Python", "JavaScript", "C++"), programmingLanguages);
}

In the provided code, we initialize a List named programmingLanguages containing the strings (Java, Python, and C++). In addition, we iterate through the elements of the list using the listIterator.next() method.

When we encounter the element Python we dynamically insert the string JavaScript immediately after it, using listIterator.add(“JavaScript”).

Finally, the test asserts that the modified list matches the expected result, ensuring the successful addition of JavaScript after Python in the list.

2.2. Numeric Scenario

Let’s apply the ListIterator approach to a list of integers, adding double the value when encountering the number 2:

List<Integer> numbers = new ArrayList<>(List.of(1, 2, 3));
@Test
public void givenNumericalList_whenMultiplyElementWithListIterator_thenModifiedList() {
    ListIterator<Integer> listIterator = numbers.listIterator();
    while (listIterator.hasNext()) {
        int num = listIterator.next();
        if (num == 2) {
            listIterator.add(num * 10);
        }
    }
    assertIterableEquals(Arrays.asList(1, 2, 20, 3), numbers);
}

In this numeric scenario, we use the ListIterator to iterate through a list of integers. When the number 2 is encountered, the value is multiplied by 10 and dynamically added to the list.

3. Enhanced for Loop With a Copy

Another strategy involves creating a copy of the original list and iterating over it while modifying the original list.

3.1. String Scenario

Consider the following example, where we add the uppercase version of each word in the original list to the list itself:

@Test
public void givenStringList_whenAddElementWithEnhancedForLoopAndCopy_thenModifiedList() {
    List<String> copyOfWords = new ArrayList<>(programmingLanguages);
    for (String word : copyOfWords) {
        programmingLanguages.add(word.toUpperCase());
    }
    assertIterableEquals(Arrays.asList("Java", "Python", "C++", "JAVA", "PYTHON", "C++"), programmingLanguages);
}

Within the enhanced for loop, we iterate over each element of the copyOfWords list, convert the corresponding value to uppercase, and add it to the original list programmingLanguages.

Notably, this insertion process ensures that the original list is expanded with the uppercase versions of the existing words while maintaining the sequence integrity. In other words, the programmingLanguages list will contain the original elements followed by the newly added uppercase versions.

3.2. Numeric Scenario

Now, let’s apply the enhanced for-loop approach to a list of integers, adding each number multiplied by 2:

List<Integer> numbers = new ArrayList<>(List.of(1, 2, 3));

@Test
public void givenList_whenAddElementWithEnhancedForLoopAndCopy_thenModifiedList() {
    List<Integer> copyOfNumbers = new ArrayList<>(numbers);
    for (int num : copyOfNumbers) {
        numbers.add(num * 2);
    }
    assertIterableEquals(Arrays.asList(1, 2, 3, 2, 4, 6), numbers);
}

Here, we iterate, multiply each element multiplied by 2, and add it to the original list. Same as the string approach,

4. Utilizing the Java 8 Stream Approach

Java 8 Streams provide a concise way to add elements to a list during iteration.

4.1. String Scenario

Consider the following example, where we use Java 8 Streams to add the string JavaScript to the list of programmingLanguages:

@Test
public void givenStringList_whenConvertToUpperCaseWithJava8Stream_thenModifiedList() {
    programmingLanguages = programmingLanguages.stream().map(String::toUpperCase).collect(Collectors.toList());
    assertIterableEquals(Arrays.asList("JAVA", "PYTHON", "C++"), programmingLanguages);
}

In this code snippet, we utilize the map operation to transform each string element in the list to its uppercase equivalent using the toUpperCase method. Then, we collect the transformed elements into a new list using Collectors.toList().

However, it’s essential to note that while the transformation operation appears to directly alter the corresponding original elements in the list in place, it replaces the original list with a new one. This replacement ensures the integrity of the list’s contents, although it effectively removes the original list from memory.

Therefore, while the transformation is performed seamlessly, it’s important to consider the implications, especially if the original list reference is still needed elsewhere in the code.

4.2. Numeric Scenario

Let’s apply the Java 8 Stream approach to a list of integers, multiplying each number by 3:

@Test
public void givenNumericalList_whenMultiplyByThreeWithJava8Stream_thenModifiedList() {
    numbers = numbers.stream().map(num -> num * 3).collect(Collectors.toList());
    assertIterableEquals(Arrays.asList(3, 6, 9), numbers);
}

In this test method, we utilize the map operation, each numeric element in the list undergoes a transformation where it is multiplied by 3. In addition, the resulting stream is collected into a new list through Collectors.toList().

5. Conclusion

In conclusion, we explored diverse methods, including ListIterator, enhanced for loop with a copy, and Java 8 Streams, for adding elements to a list during iteration in Java.

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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Course – LS – NPI EA (cat=REST)

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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)
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