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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.

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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.

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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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eBook – Mockito – NPI EA (tag = Mockito)
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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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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.

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1. Overview

FileReader and BufferedReader are two classes that can read characters from an input stream.

In this tutorial, we’ll see the differences between them.

2. FileReader

The FileReader class can read streams of characters from a file. Moreover, it’s only able to read the file character by character, and every time we call its read() method, it directly accesses the file on the hard drive to read exactly one character from it. As a result, FileReader is very slow and inefficient in and of itself when reading characters from files. In addition, FileReader can only read characters from files and no other type of input stream.

2.1. Constructors

FileReader has three constructors:

  • FileReader(File file): receives a File instance as an argument
  • FileReader(FileDescriptor fd): receives a FileDescriptor as an argument
  • FileReader(String fileName): receives the filename (including its path) as an argument

2.2. What It Returns

Every time we call the read() method, it returns an integer value representing the Unicode value for the character that was read from the file or -1 if the end of the character stream is reached.

2.3. Example

Let’s see an example of using FileReader to read characters from a text file that contains “qwerty” as content:

@Test
public void whenReadingAFile_thenReadsCharByChar() {
    StringBuilder result = new StringBuilder();

    try (FileReader fr = new FileReader("src/test/resources/sampleText2.txt")) {
        int i = fr.read();

        while(i != -1) {
            result.append((char)i);

            i = fr.read();
        }
    } catch (IOException e) {
        e.printStackTrace();
    }

    assertEquals("qwerty", result.toString());
}

In the above code, we cast the return value from the read() method to char before appending it to the result string.

3. BufferedReader

The BufferedReader class creates a buffer to hold data from the character input stream. Moreover, the input stream can be a file, the console, a string, or any other type of character stream.

Its constructor receives a Reader as the character input stream. Therefore, we can give any class that implements the Reader abstract class to BufferedReader as the input stream to read characters from.

When we start reading from a BufferedReader, it reads an entire data block from the input stream and stores it in a buffer. After that, if we continue reading from the BufferedReader, it returns the characters from the buffer instead of the underlying character stream until the buffer is empty. It’ll then read another data block from the input stream and store it in the buffer for further read calls.

The BufferedReader class reduces the read operations called on the input stream, and reading from a buffer is generally much faster than accessing the underlying input stream. Therefore, BufferedReader provides a faster, more efficient way of reading characters from a character stream.

3.1. Constructors

BufferedReader has two constructors:

  • BufferedReader(Reader in): receives the character input stream (which must implement the Reader abstract class) as an argument
  • BufferedReader(Reader in, int sz): receives the character input stream and the buffer size as arguments

3.2. What It Returns

If we call the read() method, it returns an int value, the Unicode value for the character that was read from the input stream. Moreover, if we call the readLine() method, it reads an entire line from the buffer and returns it as a string value.

3.3. Example

Let’s use BufferedReader to read characters from a text file with three lines of content using an implementation of InputStreamReader which is more efficient:

@Test
public void whenReadingAFile_thenReadsLineByLine() {
    StringBuilder result = new StringBuilder();
    
    final Path filePath = new File("src/test/resources/sampleText1.txt").toPath();
    try (BufferedReader br = new BufferedReader(new InputStreamReader(Files.newInputStream(filePath), StandardCharsets.UTF_8))) {
        String line;

        while((line = br.readLine()) != null) {
            result.append(line);
            result.append('\n');
        }
    } catch (IOException e) {
        e.printStackTrace();
    }

    assertEquals("first line\nsecond line\nthird line\n", result.toString());
}

The above test code passes, which means BufferedReader successfully reads all three lines of text from the file.

4. What Is the Difference?

BufferedReader is much faster and more efficient than FileReader since it reads an entire data block from the input stream and holds it in a buffer for further read calls, while FileReader needs to access the file for every character. Moreover, FileReader can only read a file character by character, while BufferedReader has other methods like readLine(), which reads an entire line from the buffer. Finally, FileReader can only read from a file, while BufferedReader can read from any type of character input stream (file, console, string, and so on):

FileReader BufferedReader
Slower and less efficient Faster and more efficient
Can only read character by character Can read characters and lines
Can only read from a file Can read from any kind of character stream

 

FileReader can be enough if we’re reading from small files and when there are few read calls on the file data. However, for large files or when there are many read operations on the data, BufferedReader is the better option.

5. Summary

In this tutorial, we learned how to use FileReader and BufferedReader and the differences between them.

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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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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