Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat= Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat=Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag=Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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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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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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:

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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.

Get started with Spring Data JPA through the guided reference course:

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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Partner – LambdaTest – NPI EA (cat=Testing)
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Accessibility testing is a crucial aspect to ensure that your application is usable for everyone and meets accessibility standards that are required in many countries.

By automating these tests, teams can quickly detect issues related to screen reader compatibility, keyboard navigation, color contrast, and other aspects that could pose a barrier to using the software effectively for people with disabilities.

Learn how to automate accessibility testing with Selenium and the LambdaTest cloud-based testing platform that lets developers and testers perform accessibility automation on over 3000+ real environments:

Automated Accessibility Testing With Selenium

1. Overview

Sequences of data are integral to any project and any programming language. In Java, there are two ways to represent a sequence of elements: Collections and arrays.

In this tutorial, we’ll learn how to convert an ArrayList of wrapper classes into an array of primitives. While this sounds like a trivial task, some quirks in the Java APIs make this process less straightforward.

2. Simple for Loop

The easiest way to make this conversion is to use a declarative style with a for loop:

@ParameterizedTest
@MethodSource("floatListProvider")
void givenListOfWrapperFloat_whenConvertToPrimitiveArray_thenGetCorrectResult(List<Float> floats) {
    float[] actual = new float[floats.size()];
    for (int i = 0; i < floats.size(); i++) {
        actual[i] = floats.get(i);
    }
    compareSequences(floats, actual);
}

The main benefit of this code is that it’s explicit and easy to follow. However, we must take care of too many things for such a trivial task.

3. Converting to an Array of Float

The Collection API provides a nice method to convert a List into an array but doesn’t handle unboxing. However, it’s useful enough to consider it in this article:

@ParameterizedTest
@MethodSource("floatListProvider")
void givenListOfWrapperFloat_whenConvertToWrapperArray_thenGetCorrectResult(List<Float> floats) {
    Float[] actual = floats.toArray(new Float[0]);
    assertSequences(floats, actual);
}

The List class has the toArray() method, which can help us with conversion. However, the API is a bit confusing. We need to pass an array to ensure the correct type. The result will be of the same type as the array we pass.

Because we need to pass an instance, it’s unclear what size we should use and if the resulting array would be cropped. In this case, we shouldn’t worry about the size at all, and toArray() will take care of and expand an array if necessary.

At the same time, it’s fine to pass an array of specific size straight away:

@ParameterizedTest
@MethodSource("floatListProvider")
void givenListOfWrapperFloat_whenConvertToWrapperArrayWithPreSizedArray_thenGetCorrectResult(List<Float> floats) {
    Float[] actual = floats.toArray(new Float[floats.size()]);
    assertSequences(floats, actual);
}

Although it seems to be an optimization over the previous version, it’s not necessarily true. Java compiler would take care of the size without any problems. Additionally, calling the size() while creating an array might create issues in a multithreaded environment. Thus, using an empty array is recommended, as shown previously.

4. Unboxing Arrays

While we have the concept of unboxing for numeric values and booleans, trying to unbox arrays would result in a compile-time error. Thus, we should unbox each element separately. Here’s the variation of an example we’ve seen before:

@ParameterizedTest
@MethodSource("floatListProvider")
void givenListOfWrapperFloat_whenUnboxToPrimitiveArray_thenGetCorrectResult(List<Float> floats) {
    float[] actual = new float[floats.size()];
    Float[] floatArray = floats.toArray(new Float[0]);
    for (int i = 0; i < floats.size(); i++) {
        actual[i] = floatArray[i];
    }
    assertSequences(floats, actual);
}

We have two issues here. First, we’re using additional space for temporary arrays; it doesn’t affect the time complexity as we have to use the space for the result anyway.

The second issue is that the for loop doesn’t do much, as we use implicit unboxing here. It would be a good idea to eliminate it. We can do this with the help of utility class from Apache Commons:

@ParameterizedTest
@MethodSource("floatListProvider")
void givenListOfWrapperFloat_whenConvertToPrimitiveArrayWithArrayUtils_thenGetCorrectResult(List<Float> floats) {
    float[] actual = ArrayUtils.toPrimitive(floats.toArray(new Float[]{}));
    assertSequences(floats, actual);
}

This way, we get a nice one-liner solution to our problem. The toPrimitive() method just encapsulated the logic we used previously, with additional checks:

public static float[] toPrimitive(final Float[] array) {
    if (array == null) {
        return null;
    }
    if (array.length == 0) {
        return EMPTY_FLOAT_ARRAY;
    }
    final float[] result = new float[array.length];
    for (int i = 0; i < array.length; i++) {
        result[i] = array[i].floatValue();
    }
    return result;
}

It’s a nice and clean solution but requires some additional libraries. Alternatively, we can implement and use a similar method in our code.

5. Streams

When working with Collections, we can use streams to replicate the logic we used in loops. The Stream API can help us to convert a List and unbox the values at the same time. However, there’s a caveat: Java doesn’t have FloatStream.

If we’re not too picky about the floating point numbers, we can use DoubleStream to convert ArrayList<Float> to double[]:

@ParameterizedTest
@MethodSource("floatListProvider")
void givenListOfWrapperFloat_whenConvertingToPrimitiveArrayUsingStreams_thenGetCorrectResult(List<Float> floats) {
    double[] actual = floats.stream().mapToDouble(Float::doubleValue).toArray();
    assertSequences(floats, actual);
}

We successfully converted the List but in a slightly different floating-point representation. This is because we have only IntStream, LongStream, and DoubleStream available.

6. Custom Collectors

At the same time, we can implement a custom Collector and have all the logic inside it:

public class FloatCollector implements Collector<Float, float[], float[]> {
    private final int size;
    private int index = 0;
    public FloatCollector(int size) {
        this.size = size;
    }

    @Override
    public Supplier<float[]> supplier() {
        return () -> new float[size];
    }

    @Override
    public BiConsumer<float[], Float> accumulator() {
        return (array, number) -> {
            array[index] = number;
            index++;
        };
    }

    // other non-important methods
}

Other non-important methods include some stubs to allow our code to run and a no-op finalizer:

public class FloatCollector implements Collector<Float, float[], float[]> {
    // important methods

    @Override
    public BinaryOperator<float[]> combiner() {
        return null;
    }

    @Override
    public Function<float[], float[]> finisher() {
        return Function.identity();
    }

    @Override
    public Set<Characteristics> characteristics() {
        return Collections.emptySet();
    }
}

And now we can showcase our new and a little bit hacky Collector:

@ParameterizedTest
@MethodSource("floatListProvider")
void givenListOfWrapperFloat_whenConvertingWithCollector_thenGetCorrectResult(List<Float> floats) {
    float[] actual = floats.stream().collect(new FloatCollector(floats.size()));
    assertSequences(floats, actual);
}

While playing with Stream API interfaces is interesting, this solution is overly complex and doesn’t provide any benefits in this particular case. Also, this collector might work in a multithreaded environment, and we should take thread-safety into account.

7. Conclusion

Working with arrays and Collections is usual for any application. While Lists provide a better interface, sometimes we need to convert them into simple arrays.

Additional unboxing during this process makes it more challenging than it should be. However, a couple of tricks, custom methods, or third-party libraries can help streamline it.

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.

Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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:

>> Download the eBook

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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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

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