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.

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:

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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

Counting the number of files in a directory and its subdirectories is a common task in programming, whether you’re building a backup utility, monitoring disk usage, or synchronizing files across systems. For Java developers, this seemingly simple problem offers a chance to explore both traditional and modern approaches to file handling.

In this tutorial, we’ll dive into two primary methods: the recursive java.io.File approach, familiar to many, and the more efficient NIO-based solution introduced in Java 7.

2. Setup

The task of counting files in a directory and its subdirectories requires traversing a potentially complex tree structure, where each subdirectory might contain more files or additional subdirectories. This recursive nature poses technical challenges: how do we ensure accuracy across all levels, avoid infinite loops from symbolic links, and manage performance for large datasets?

For Java developers, the solution lies in choosing the right tools and designing a clear and flexible method.

Let’s define our method signature for the upcoming implementations:

public long numberOfFilesIn(String path) {
    // TODO: Implementation 
}

The method accepts a String path input parameter as the starting directory and returns the number of files found as long. The long type ensures we can handle counts beyond the 32-bit int limit, which is critical for enterprise-scale directories.

3. Using java.io.File

Our first implementations, which are to read files in Java and count them, will use the java.io.File library.

3.1. With Java 8+

Let’s start with implementations that use Java 8 and above, allowing us to write in a functional manner with Streams.

Our task to go through a directory, search for files, and continue on to a deeper nested directory is repetitive. One implementation style makes obvious sense here: recursion. The possibility to call oneself helps us to keep the complexity down, compared to an iterative approach:

File currentFile = new File(path);
File[] filesOrNull = currentFile.listFiles();
// Is this a file already?
long currentFileNumber = currentFile.isFile() ? 1 : 0;
if (filesOrNull == null) { // no sub directories found
    return currentFileNumber; // stop condition #1
}
return currentFileNumber + Arrays.stream(filesOrNull)
  .mapToLong(FindFolder::filesInside) // <-- recursion call here
  .sum();

Our implementation has basically three parts:

  1. Check if the current path resolves to a file or directory
  2. If the current directory can’t list any files, we return immediately
  3. Otherwise we count the files in the subfolders recursively and return the sum, including the current file count
private static long filesInside(File it) {
    if (it.isFile()) {
        return 1; // stop condition #2
    } else if (it.isDirectory()) {
        return numberOfFilesIn(it.getAbsolutePath()); // <-- recursion to caller
    } else {
        return 0; // stop condition #3
    }
}

Be aware, that we include three stop conditions to the recursive implementation. Not paying enough attention to break out of the recursion cycle may lead to out-of-memory exceptions. 

3.2. Before Java 8

If we are working with Java below the version 8, we could simply refactor our method from the recursive stream implementation above.

This is how our second approach, the rewritten part without streams would look like:

for (File file : filesOrNull) {
    if (file.isDirectory()) {
        currentFileNumber += numberOfFilesIn(file.getAbsolutePath());
    } else if (file.isFile()) {
        currentFileNumber += 1; // add this file to count
    }
}
return currentFileNumber;

It looks very similar to the mapper function we used before, only this time we modify currentFileNumber variable by adding intermediate results. If we disregard the mutability issue, this solution glances with simplicity, little code and good readability.

4. Using NIO

Working with the file system in Java has another good alternative library, shipped since Java 7: NIO.

4.1. Files.find

Our third approach to the task – counting files in directory and sub directories – will make use of the Files.find functionality:

try (Stream<Path> stream = Files.find(
  Paths.get(path), 
  Integer.MAX_VALUE,
  (__, attr) -> attr.isRegularFile())) {
    return stream.count();
} catch (IOException e) {
    // or log here
    throw new RuntimeException(e);
}

We use try with resources to open a Path Stream inside our initial path directory.

4.2. Walkthrough

A second NIO possibility is to “walkthrough” the file system in an iterative manner.

This is how an implementation with Files.walk would look like:

Path dir = Path.of(path);
try (Stream<Path> stream = Files.walk(dir)) {
    return stream.parallel()
      .map(getFileOrEmpty())
      .flatMap(Optional::stream)
      .filter(it -> !it.isDirectory())
      .count();
} catch (IOException e) {
    throw new RuntimeException(e);
}

Just like before, we get a Stream of Path inside our initial path directory. Since the order in which we search through the directories does not matter and the amount of paths to cover can be great, we convert it to a parallel Stream. Then, we filter out Paths, which can’t be associated with the default provider and wrap them in Java Optional. At last, the count of all present elements, which are not a directory (i.e. file) is returned.

private static Function<Path, Optional<File>> getFileOrEmpty() {
    return it -> {
        try {
            return Optional.of(it.toFile());
        } catch (UnsupportedOperationException e) {
            // You may print or log the exception here;
            return Optional.empty();
        }
    };
}

The extracted method getFileOrEmpty returns a mapper function, to safely wrap a valid File in an Optional. It is useful in two ways: keeping the caller method small and handling the UnsupportedOperationException, which should not be left unhandled inside a Stream.

5. Overall Considerations

Several factors warrant attention when implementing file-counting solutions. Performance is critical – recursive java.io.File methods may struggle with deep directories due to stack overflow risks, while NIO’s stream-based approaches scale better for large datasets. For extensive structures, consider parallel streams with Files.walk, though this requires careful handling of concurrent file modifications.

Security also matters: if user input drives the path, validate it to prevent directory traversal attacks.

Additionally, ensure compatibility with international file names by leveraging NIO’s Unicode support, avoiding issues with non-ASCII characters.

Balancing efficiency, safety, and robustness ensures these methods meet real-world demands effectively.

6. Validation

Now that we’ve seen all our different implementations let’s design a test to run against.

Since the validation must go through real directories, let’s create some files and folders to search through:

filesToBeFound
|-- file1.txt
|-- subEmptyFolder
|-- subFolder1
    |-- file2.txt
    |-- file3.txt
|-- subFolder2 
    |-- file4.txt
    |-- subSubFolder
        |-- subSubSubFolder
            |-- file5.txt

The only remaining part is the test itself:

private final String resourcePath = this.getClass().getResource("/filesToBeFound").getPath();

@Test
void shouldReturnNumberOfAllFilesInsidePath() {
    assertThat(FindFolder.numberOfFilesIn(resourcePath)).isEqualTo(5);
}

Each of our implementations should find the same five files in the setup directory.

7. Conclusion

In this tutorial, we’ve explored two powerful approaches to counting files in a directory and its subdirectories in Java. The java.io.File method, with its recursive simplicity, suits smaller, shallow directory structures and offers a clear entry point for developers. However, its reliance on recursion can falter with deep hierarchies, risking stack overflow errors. In contrast, the NIO-based solutions – using Files.find and Files.walk – provide efficiency and scalability, leveraging streams to handle large datasets. The parallel Files.walk option further optimizes performance for extensive directories, though it requires careful exception handling.

For most modern applications, the NIO approach stands out as the better choice due to its robustness and performance. Choose java.io.File for quick, simple tasks, but opt for NIO when scalability matters.

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.

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:

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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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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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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)