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 tutorial, we’ll look at two different methods in Java for calculating the number of weekdays between two dates. We’ll look at a readable version using Streams and a less readable but more efficient option that doesn’t loop at all.

2. Full Search Using Streams

First, let’s see how we can do this with Streams. The plan is to loop over every day between our two dates and count the weekdays:

long getWorkingDaysWithStream(LocalDate start, LocalDate end){
    return start.datesUntil(end)
      .map(LocalDate::getDayOfWeek)
      .filter(day -> !Arrays.asList(DayOfWeek.SATURDAY, DayOfWeek.SUNDAY).contains(day))
      .count();
}

To start we’ve utilized LocalDate‘s datesUntil() method. This method returns a Stream of all the dates from the start (inclusive) to the end date (exclusive).

Next, we’ve used map() and LocalDate‘s getDayOfWeek() to transform each date into a day. For example, this would change 10-01-2023 to Wednesday.

Following that, we filter out all the weekend days by checking them against the DaysOfWeek enum. Finally, we can count up the days left, as we know these will all be weekdays.

This method isn’t the quickest, as we have to look at it every single day. However, it’s easily understandable and offers the opportunity to easily put in extra checks or processing if needed.

3. Efficient Search Without Looping

The other option we have is to not loop over all the days, but instead, apply the rules we know about the days of the week. There are several steps we need here, and a few edge cases to take care of.

3.1. Setting up Initial Dates

To start, we’ll define our method signature which will be a lot like our previous one:

long getWorkingDaysWithoutStream(LocalDate start, LocalDate end)

The first step in processing these dates is to exclude any weekends at the start and end. So for the start date, if it’s a weekend we’ll take the following Monday. We’ll also track the fact that we did this with a boolean:

boolean startOnWeekend = false;
if(start.getDayOfWeek().getValue() > 5){
    start = start.with(TemporalAdjusters.next(DayOfWeek.MONDAY));
    startOnWeekend = true;
}

We’ve used the TemporalAdjusters class here, specifically its next() method which lets us jump to the next specified day.

We can then do the same for the end date – if it’s a weekend, we take the previous Friday. This time we’ll use TemporalAdjusters.previous() to take us to the first occurrence of the day we want before the given date:

boolean endOnWeekend = false;
if(end.getDayOfWeek().getValue() > 5){
    end = end.with(TemporalAdjusters.previous(DayOfWeek.FRIDAY));
    endOnWeekend = true;
}

3.2. Accounting for Edge Cases

This already presents us with a potential edge case, if we start on Saturday and end on Sunday. In that case, our start date will now be Monday, and the end date the Friday before. It doesn’t make sense for the start to be after the end, so we can cover this potential use case with a quick check:

if(start.isAfter(end)){
    return 0;
}

We also need to cover another edge case which is why we kept track of starting and ending on a weekend. This is optional and depends on how we want to count the days. For example, if we counted between a Tuesday and Friday in the same week we’d say there are three days between them.

We’d also say there are five weekdays between a Saturday and the following Saturday. However, if we move the start and end days to Monday and Friday as we’re doing here, that now counts as four days. So to counteract that we can simply add a day if required:

long addValue = startOnWeekend || endOnWeekend ? 1 : 0;

3.3. Final Calculations

We’re now in a position to calculate the total amount of weeks between the start and end. For this, we’ll use ChronoUnit’between() method. This method calculates the time between two Temporal objects, in the specified unit which is WEEKS in our case:

long weeks = ChronoUnit.WEEKS.between(start, end);

Finally, we can use everything we’ve gathered so far to get our final value for the number of weekdays:

return ( weeks * 5 ) + ( end.getDayOfWeek().getValue() - start.getDayOfWeek().getValue() ) + addValue;

The steps here are firstly to multiply the number of weeks by the number of weekdays per week. We haven’t accounted for non-whole weeks yet so we add on the extra days between the start day of the week and the end day of the week. To finish we add the adjustment for starting or finishing on a weekend.

4. Conclusion

In this article, we’ve looked at two options for calculating the number of weekdays between two dates.

First, we saw how to use a Stream and check each day individually. This method offers simplicity and readability at the expense of efficiency.

The second option is to apply the rules we know about the days of the week to figure it out without a loop. This offers efficiency at the expense of readability and maintainability.

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:

>> 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?

Explore the eBook

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)