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.

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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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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.

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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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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LS – NPI EA (cat=Jackson)
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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.

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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 – 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.

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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

Determining all years that start on a Sunday might seem like a simple requirement. However, it can be quite relevant in various real-world scenarios or business use cases. Specific dates and calendar structures often influence operations, events, or schedules. For instance, such a requirement might arise in a holiday or religious event scheduling, or payroll and work schedule planning.

In this tutorial, we’ll look at three approaches to find all the years that start on a Sunday within a given range. We’ll first look at a solution using Date and Calendar, and then see how to use the modern java.time API. Finally, we’ll include an optimized example using Spliterator<LocalDate>.

2. Legacy Solution

To start with, we’ll use the legacy Calendar class to check whether January 1st of each year, for a given range, falls on a Sunday: 

public class FindSundayStartYearsLegacy {

    public static List<Integer> getYearsStartingOnSunday(int startYear, int endYear) {
        List<Integer> years = new ArrayList<>();

        for (int year = startYear; year <= endYear; year++) {
            Calendar calendar = new GregorianCalendar(year, Calendar.JANUARY, 1);
            if (calendar.get(Calendar.DAY_OF_WEEK) == Calendar.SUNDAY) {
                years.add(year);
            }
        }
        return years;
    }
}

First, we create a Calendar object for each year with the date set to January 1st. We then use the calendar.get(Calendar.DAY_OF_WEEK) method, to check if the day is a Sunday. We’ll test our FindSundayStartYearsLegacy implementation using the year range from 2000 to 2025. We expect a result which includes the four years that start on a Sunday: 2006, 2012, 2017, and 2023:

@Test
public void givenYearRange_whenCheckingStartDayLegacy_thenReturnYearsStartingOnSunday() {
    List<Integer> expected = List.of(2006, 2012, 2017, 2023);
    List<Integer> result = FindSundayStartYearsLegacy.getYearsStartingOnSunday(2000, 2025);
    assertEquals(expected, result);
}

3. New API Solution

Let’s solve the same problem using the java.time package introduced in Java 8. We’ll use LocalDate to check if January 1st of each year starts on a Sunday:

public class FindSundayStartYearsTimeApi {

    public static List<Integer> getYearsStartingOnSunday(int startYear, int endYear) {
        List<Integer> years = new ArrayList<>();

        for (int year = startYear; year <= endYear; year++) {
            LocalDate firstDayOfYear = LocalDate.of(year, 1, 1);
            if (firstDayOfYear.getDayOfWeek() == DayOfWeek.SUNDAY) {
                years.add(year);
            }
        }
        return years;
    }
}

We use here LocalDate.of(year, 1, 1) to represent January 1st of each year. Then, we use the getDayOfWeek() method, to check if the day is a Sunday. Next, we validate the solution using the java.time API in the FindSundayStartYearsTimeApi class, with the same input and expected result as in the previous test:

@Test 
public void givenYearRange_whenCheckingStartDayTimeApi_thenReturnYearsStartingOnSunday() {
    List<Integer> expected = List.of(2006, 2012, 2017, 2023);
    List<Integer> result = FindSundayStartYearsTimeApi.getYearsStartingOnSunday(2000, 2025);
    assertEquals(expected, result);
}

4. Enhancements Using Streams

Let’s look at how we can use the Spliterator<LocalDate> to iterate through the years and filter out the ones that start on a Sunday. The Spliterator is useful for efficiently traversing large data ranges:

public class FindSundayStartYearsSpliterator {
    public static List<Integer> getYearsStartingOnSunday(int startYear, int endYear) {
        List<Integer> years = new ArrayList<>();
        Spliterator<LocalDate> spliterator = Spliterators.spliteratorUnknownSize(
          Stream.iterate(LocalDate.of(startYear, 1, 1), date -> date.plus(1, ChronoUnit.YEARS))
            .limit(endYear - startYear + 1)
            .iterator(), Spliterator.ORDERED);

        Stream<LocalDate> stream = StreamSupport.stream(spliterator, false);
        stream.filter(date -> date.getDayOfWeek() == DayOfWeek.SUNDAY)
          .forEach(date -> years.add(date.getYear()));
        return years;
    }
}

Here we create a Spliterator<LocalDate> using Stream.iterator() to iterate over the first day of each year in the given range. Next, the StreamSupport.stream() method converts the Spliterator into a Stream<LocalDate>. Additionally, we use filter() to check if the first day of each year is a Sunday. Finally, we populate the array with the valid entries, which we return at the end. Now we’ll test the Streams-based implementation in the FindSundayStartYearsSpliterator class:

@Test
public void givenYearRange_whenCheckingStartDaySpliterator_thenReturnYearsStartingOnSunday() {
    List<Integer> expected = List.of(2006, 2012, 2017, 2023);
    List<Integer> result = FindSundayStartYearsSpliterator.getYearsStartingOnSunday(2000, 2025);
    assertEquals(expected, result);
}

5. Conclusion

In this article, we looked at three options to find the years that start on Sunday, for a given range. Although Date and Calendar are usable, they come with issues such as mutability, clunky APIs, and deprecated methods. This legacy solution is straightforward but not the best practice for new development. In general, the java.time package provides a cleaner and more robust API for handling dates and times. It’s type-safe, immutable, and easier to work with than Date and Calendar. Consequently, using Spliterator in combination with Stream is a functional and efficient way to process large data ranges, allowing parallelization and lazy evaluation. The java.time approach is the recommended method for handling dates and times in Java. The Spliterator solution adds flexibility and performance benefits.

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.

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:

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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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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)