eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with 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.

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:

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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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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:

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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:

>> 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:

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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.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

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. Overview

In this article, we’ll explore the tolerance and restrictions regarding null values in different Java collection types. Java collections handle null values differently, requiring careful attention.

While ArrayList and HashMap allow null values, accessing them risks NullPointerException. In contrast, TreeMap prohibits null keys entirely. Understanding these differences is crucial to avoid runtime errors, especially when using Streams or processing collections. Proper null-checking ensures robust and error-free code.

2. A null Value in a List

A List can include null elements. We can add and retrieve null values without errors. However, always check for null after retrieval to avoid a NullPointerException.

First, let’s define a reusable lambda expression to count null values in a collection:

Function<Collection<?>, Long> countNulls
    = collection -> collection.stream().filter(Objects::isNull).count();

The Function<Collection<?>, Long> interface defines a lambda expression that takes a Collection<?> and returns the count of null values. The stream() method converts the collection into a stream, filter(Objects::isNull) keeps only the null elements, and count() returns the number of those null elements.

Now, let’s test handling null values added to a list:

@Test
void givenList_whenNullValueAdded_doesNotFail() {
    // adding nulls to a list
    Integer[] numberArray = { null, 0, 1, null, 2, 3, null };
    List<Integer> numbers = Arrays.asList(numberArray);
    assertEquals(3, countNulls.apply(numbers));

    // accessing nulls from a list
    Integer number = numbers.get(0);
    assertNull(number);

    // dereferencing nulls from a list
    assertThrows(NullPointerException.class, () -> number.toString());
}

This test verifies that adding null values to a List does not cause an error. Then, the test verifies that our function accurately counts the number of null elements. Next, the test asserts that accessing null elements from the list returns null. Finally, it ensures that attempting to dereference a null (by calling a method on it) throws a NullPointerException.

3. A null Value in a Set

A Set consists of unique elements, meaning each element can only appear once. Also, a Set can contain at most one null value at a time. This characteristic ensures that no duplicates are allowed and helps maintain the integrity of the data.

Not all types of sets permit null values. Let’s explore the reasons behind this.

A HashSet can hold one null value. Backed by a HashMap, the hash-based lookup can handle a single null element. However, we need to be cautious about operations that may trigger NullPointerException if null is used in custom logic, such as hashing.

A TreeSet cannot hold null values because it relies on the Comparable or a custom Comparator. Any attempt to add null results in a NullPointerException as the natural ordering cannot compare null.

Let’s proceed to examine the management of null values within a Set. First, let’s check a HashSet:

@Test
void givenHashSet_whenNullValueAdded_doesNotFail() {
    // adding nulls to a HashSet
    Integer[] numberArray = { null, 0, 1, null, 2, 3, null };
    Set<Integer> numbers = new HashSet<>(Arrays.asList(numberArray));
    assertEquals(1, countNulls.apply(numbers));

    // accessing null from a set
    assertTrue(numbers.contains(null));

    // dereferencing nulls from a set
    assertThrows(NullPointerException.class, () -> numbers.forEach(Object::toString()));
}

Here, we confirm that adding null values to a HashSet does not result in an error. Then, we verify that duplicate null entries are ignored. We then check that the set correctly contains one null and that trying to dereference null within the set iteration throws a NullPointerException.

Now, it’s time to check how a TreeSet handles null values:

@Test
void givenTreeSet_whenNullValueAdded_mightFail() {
    // adding nulls to a TreeSet
    Integer[] numberArray = { null, 0, 1, null, 2, 3, null };
    assertThrows(NullPointerException.class, () -> new TreeSet<>(Arrays.asList(numberArray)));
}

This test demonstrates that adding null values to a TreeSet throws a NullPointerException. Remember that TreeSet requires elements to be comparable, and null cannot be compared during sorting.

4. A null Value in a Map

HashMap in Java is a data structure that allows for storing key-value pairs, accommodating one null key and multiple null values. This means that we can insert a single null key, and at the same time, we can associate multiple null values with other keys. When the null key is added, it is specifically stored in a designated hash bucket reserved for null keys.

When using the get() method to retrieve a value associated with a null key, the HashMap gracefully handles this case without throwing any exceptions, making it straightforward for developers to work with null keys.

However, it’s important to be cautious when dereferencing these null keys and values in our code, as attempting to operate on null references can lead to NullPointerException. Therefore, proper checks should be implemented to ensure we’re managing null values effectively to prevent runtime errors:

@Test
void givenHashMap_whenNullKeyValueAdded_doesNotFail() {
    // adding nulls to key-value pairs
    Integer[] numberArray = { null, 0, 1, null, 2, 3, null };
    Map<Integer, Integer> numbers = new HashMap<>();
    Arrays.stream(numberArray)
        .forEach(integer -> numbers.put(integer, integer));
    assertEquals(1, countNulls.apply(numbers.keySet()));
    assertEquals(1, countNulls.apply(numbers.values()));

    // accessing nulls from a map
    assertTrue(numbers.containsKey(null));
    assertTrue(numbers.containsValue(null));
    assertNull(numbers.get(null));

    // dereferencing nulls from a map
    assertThrows(NullPointerException.class, () -> numbers.get(null)
        .toString());
}

In the above test, we verify that adding null keys and values to a HashMap does not cause errors, demonstrating HashMap’s ability to handle null as both a key and a value. We also check behaviors for the presence of null keys and values, confirm retrieval of null, and assert that dereferencing null triggers a NullPointerException.

Now, it’s time to check how a TreeMap handles null values:

@Test
void givenTreeMap_whenNullKeyAdded_fails() {
    // adding nulls to key-value pairs
    Map<Integer, Integer> numbers = new TreeMap<>();

    // adding null key and null value
    assertThrows(NullPointerException.class, () -> numbers.put(null, null));

    // adding null key and non-null value
    assertThrows(NullPointerException.class, () -> numbers.put(null, 1));

    // adding non-null key and null value
    assertDoesNotThrow(() -> numbers.put(1, null));

    // adding non-null key and non-null value
    assertDoesNotThrow(() -> numbers.put(1, 1));
}

Here, we demonstrate that a TreeMap throws a NullPointerException when trying to add a null key, whether or not the value is null. However, we can see that it allows null values if the key is non-null.

5. Conclusion

In this article, we explored how Java collections handle null values, from ArrayList‘s and HashSet‘s flexibility to TreeMap’s strict restrictions. Understanding these behaviors helps prevent errors, ensuring safer data handling and more reliable applications.

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:

>> CHECK OUT THE COURSE

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)