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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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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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.

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

As Vavr primarily works within the Java ecosystem, there’s always a need to convert Vavr’s data structures into Java-understandable data structures.

For example, consider a function which returns an io.vavr.collection.List, and we need to pass on the result to another function which accepts java.util.List. This is where the Java-Vavr interoperability comes in handy.

In this tutorial, we’re going to look at how to convert several Vavr data structures into our standard Java collections and vice versa.

2. Vavr to Java Conversion

The Value interface in Vavr is a base interface for most Vavr tools. Thus, all Vavr’s collections inherit the properties of Value.

This is useful as the Value interface comes with a lot of toJavaXXX() methods that allow us to convert the Vavr data structures to Java equivalents.

Let’s see how a Java List can be obtained from the List or Stream of Vavr:

List<String> vavrStringList = List.of("JAVA", "Javascript", "Scala");
java.util.List<String> javaStringList = vavrStringList.toJavaList();
Stream<String> vavrStream = Stream.of("JAVA", "Javascript", "Scala");
java.util.List<String> javaStringList = vavrStream.toJavaList();

The first example converts a Vavr list to a Java list, and the next one converts a stream to Java list. Both examples rely on the toJavaList() method.

Similarly, we can obtain other Java collections from Vavr objects.

Let’s see another example of converting a Vavr Map to a Java Map:

Map<String, String> vavrMap = HashMap.of("1", "a", "2", "b", "3", "c");
java.util.Map<String, String> javaMap = vavrMap.toJavaMap();

Besides standard Java collections, Vavr also provides APIs for converting values to Java streams and Optionals.

Let’s see an example of obtaining an Optional using the toJavaOptional() method:

List<String> vavrList = List.of("Java");
Optional<String> optional = vavrList.toJavaOptional();
assertEquals("Java", optional.get());

As an overview of the Vavr methods of this type, we have:

  • toJavaArray()
  • toJavaCollection()
  • toJavaList()
  • toJavaMap()
  • toJavaSet()
  • toJavaOptional()
  • toJavaParallelStream()
  • toJavaStream()

A full list of useful APIs can be found here.

3. Java to Vavr Conversion

All the collection implementations in Vavr have a base type of Traversable. Thus, each collection type features a static method ofAll() that takes an Iterable and converts it to the corresponding Vavr collection.

Let’s see how we can convert a java.util.List to a Vavr List:

java.util.List<String> javaList = Arrays.asList("Java", "Haskell", "Scala");
List<String> vavrList = List.ofAll(javaList);

Similarly, we can use the ofAll() method to convert Java streams to Vavr collections:

java.util.stream.Stream<String> javaStream 
  = Arrays.asList("Java", "Haskell", "Scala").stream();
Stream<String> vavrStream = Stream.ofAll(javaStream);

4. Java Collection Views

The Vavr library also provides Java collection views which delegate calls to the underlying Vavr collections.

The Vavr to Java conversion methods creates a new instance by iterating through all elements to build a Java collection. This means the performance of the conversion is linear, whereas the performance of creating collection views is constant.

As of writing this article, only the List view is supported in Vavr.

For the List, there are two methods that are available to get our View. First is asJava() which returns an immutable List and the next one is asJavaMutable().

Here’s an example that demonstrates the immutable Java List:

@Test(expected = UnsupportedOperationException.class)
public void givenParams_whenVavrListConverted_thenException() {
    java.util.List<String> javaList 
      = List.of("Java", "Haskell", "Scala").asJava();
    
    javaList.add("Python");
    assertEquals(4, javaList.size());
}

As the List is immutable performing any modification on it throws an UnsupportedOperationException.

We can also get a mutable List by invoking the asJavaMutable() method on List.

Here’s how we do it:

@Test
public void givenParams_whenVavrListConvertedToMutable_thenRetunMutableList() {
    java.util.List<String> javaList = List.of("Java", "Haskell", "Scala")
      .asJavaMutable();
    javaList.add("Python");
 
    assertEquals(4, javaList.size());
}

5. Conversion Between Vavr Objects

Similar to conversion between Java to Vavr and vice-versa, we can convert a Value type in Vavr to other Value types. This conversion feature helps conversion between the Vavr objects when there is a need.

For example, we have a List of items, and we want to filter the duplicates while preserving the order. In this case, we would need a LinkedHashSet. Here’s an example that demonstrates the use case:

List<String> vavrList = List.of("Java", "Haskell", "Scala", "Java");
Set<String> linkedSet = vavrList.toLinkedSet();
assertEquals(3, linkedSet.size());
assertTrue(linkedSet instanceof LinkedHashSet);

There are many other methods available in the Value interface which help us to convert collections to different types depending on the use cases.

A full list of the APIs can be found here.

6. Conclusion

In this article, we’ve learned about conversion between Vavr and Java collection types.

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.

Course – LS – NPI (cat=Java)
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Get started with Spring Boot and with core Spring, through the Learn Spring course:

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eBook Jackson – NPI EA – 3 (cat = Jackson)