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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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eBook – Reactive – NPI EA (cat=Reactive)
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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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Course – LS – NPI EA (cat=Jackson)
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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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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

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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:

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1. Introduction

In this tutorial, we’ll see how we can replace a specific word in a file using various standard Java packages and the Apache Commons IO library.

2. Sample Data

We’ll use the sample data and parameters defined below for all our examples in this tutorial.

Firstly, let’s start by creating a simple file named data.txt that we’ll use as an input file:

This is a sample file.
This is a sample file.
This is a sample file.

Furthermore, we’ll use the following sample values, like the file path, the output file path, and the output to verify:

private static final String FILE_PATH = "src/test/resources/data.txt";
private static final String FILE_OUTPUT_PATH = "src/test/resources/data_output.txt";
private static final String OUTPUT_TO_VERIFY 
  = "This is a test file."+System.lineSeparator()+"This is a test file."+System.lineSeparator()+"This is a test file.";

3. Using BufferedReader

Let’s explore the BufferedReader class, which allows us to read a file line by line.

First, we’ll traverse the file line by line and use a StringBuilder to append the whole line. We’ll also append the new line character while appending the data. With this, we’ll have the file content stored with us. Then, we’ll use the String replace() method to replace the required word in the whole file content, and then write back the data to the file:

@Test
void givenFile_whenUsingBufferedReader_thenReplacedWordCorrect() throws IOException {
    StringBuilder fileContent = new StringBuilder();
    try (BufferedReader br = Files.newBufferedReader(Paths.get(FILE_PATH))) {
        String line;
        while ((line = br.readLine()) != null) {
            fileContent.append(line).append(System.lineSeparator());
        }
        String replacedContent = fileContent.toString().replace("sample", "test").trim();
        try (FileWriter fw = new FileWriter(FILE_OUTPUT_PATH)) {
            fw.write(replacedContent);
        }

        assertEquals(OUTPUT_TO_VERIFY, replacedContent);
    }
}

With this approach, we have replaced the word in the whole file and written back the updated content to the file using FileWriter.

4. Using Scanner

We can achieve the same result with a similar approach using the Scanner class:

@Test
void givenFile_whenUsingScanner_thenReplacedWordCorrect() throws IOException {
    StringBuilder fileContent = new StringBuilder();
    try (Scanner scanner = new Scanner(new File(FILE_PATH))) {
        while (scanner.hasNextLine()) {
            fileContent.append(scanner.nextLine()).append(System.lineSeparator());
        }
        String replacedContent = fileContent.toString().replace("sample", "test").trim();
        try (FileWriter fw = new FileWriter(FILE_OUTPUT_PATH)) {
            fw.write(replacedContent);
        }

        assertEquals(OUTPUT_TO_VERIFY, replacedContent);
    }
}

5. Using NIO2 Files

Let’s explore the NIO2 Files APIIts lines() method provides a stream to read a file line by line. Using the lambda function, we’ll replace the word with the desired word in each line:

@Test
void givenFile_whenUsingFilesAPI_thenReplacedWordCorrect() throws IOException{
    try (Stream<String> lines = Files.lines(Paths.get(FILE_PATH))) {
        List<String> list = lines.map(line -> line.replace("sample", "test"))
          .collect(Collectors.toList());
        Files.write(Paths.get(FILE_OUTPUT_PATH), list, StandardCharsets.UTF_8);

        assertEquals(OUTPUT_TO_VERIFY, String.join(System.lineSeparator(), list));
    }
}

First, we’ve created the list with the updated file data, and then we write the updated data using the Files.write() method.

6. Using Apache Commons IO

We can use the Apache Commons IO library. We’ll use the FileUtils class. This class provides the readLines() method, using which we can read the whole file into a list.

Similarly, we’ll use the approach of StringBuilder along with the String replace() method:

@Test
void givenFile_whenUsingFileUtils_thenReplacedWordCorrect() throws IOException{
    StringBuilder fileContent = new StringBuilder();
    List<String> lines = FileUtils.readLines(new File(FILE_PATH), "UTF-8");
    lines.forEach(line -> fileContent.append(line).append(System.lineSeparator()));
    String replacedContent = fileContent.toString().replace("sample", "test").trim();
    try (FileWriter fw = new FileWriter(FILE_OUTPUT_PATH)) {
        fw.write(replacedContent);
    }

    assertEquals(OUTPUT_TO_VERIFY, replacedContent);
}

Again, we’ll write the updated data using the FileWriter. Note that this approach causes a file to be stored in memory twice, once as the original and once with updated data. While this is acceptable for small files, it may cause memory issues or performance degradation with large files.

7. Using Memory-Efficient Approach

Each of the above approaches stores the updated file content in memory, which increases memory usage.

Let us take a look at the memory-efficient approach. While reading the file line by line, we’ll continuously write that line to the file using Files.writeString() method:

@Test
void givenLargeFile_whenUsingFilesAPI_thenReplacedWordCorrect() throws IOException {
    try (Stream<String> lines = Files.lines(Paths.get(FILE_PATH))) {
        Files.writeString(Paths.get(FILE_OUTPUT_PATH), "",
          StandardCharsets.UTF_8, StandardOpenOption.CREATE,StandardOpenOption.TRUNCATE_EXISTING);
        lines.forEach(line -> {
            line = line.replace("sample", "test") + System.lineSeparator();
            try {
                Files.writeString(Paths.get(FILE_OUTPUT_PATH),line,StandardCharsets.UTF_8, 
                  StandardOpenOption.APPEND);
            } catch (IOException e) {
                throw new RuntimeException(e);
            }
        });

        assertEquals(OUTPUT_TO_VERIFY, Files.readString(Paths.get(FILE_OUTPUT_PATH)).trim());
    }
}

As a result, we’ll replace the word and continuously write the updated data in the file. Note that this stores an extra new line at the end of the file. While reading the data back from the file, we can use the trim() method.

This approach allows us not to store the whole file in memory, but also causes high IO operations, increasing CPU usage.

8. Conclusion

In this article, we have looked at the different ways to replace a specific word in a file with Java IO & NIO packages and Apache Commons. We should pick the approach considering whether an application can sustain more CPU usage or more memory usage.

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.
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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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Course – LS – NPI EA (cat=REST)

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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.

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