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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.

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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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Automated Accessibility Testing With Selenium

1. Overview

In this tutorial – we will learn how to write to a file and then how to read from a file using Guava IO. We will discuss how to write to file.

2. Write Using Files

Let’s start with a simple example to write a String to a file using Files:

@Test
public void whenWriteUsingFiles_thenWritten() throws IOException {
    String expectedValue = "Hello world";
    File file = new File("test.txt");
    Files.write(expectedValue, file, Charsets.UTF_8);
    String result = Files.toString(file, Charsets.UTF_8);
    assertEquals(expectedValue, result);
}

Note that we can also append to an existing file using the Files.append() API.

3. Write to File Using CharSink

Next – let’s see how to write a String to file using CharSink. In the following example – we get a CharSink from a file using Files.asCharSink() then use it to write:

@Test
public void whenWriteUsingCharSink_thenWritten() throws IOException {
    String expectedValue = "Hello world";
    File file = new File("test.txt");
    CharSink sink = Files.asCharSink(file, Charsets.UTF_8);
    sink.write(expectedValue);

    String result = Files.toString(file, Charsets.UTF_8);
    assertEquals(expectedValue, result);
}

We can also use CharSink to write multiple lines to a file. In the following example – we write a List of names and we use a space as a line separator:

@Test
public void whenWriteMultipleLinesUsingCharSink_thenWritten() throws IOException {
    List<String> names = Lists.newArrayList("John", "Jane", "Adam", "Tom");
    File file = new File("test.txt");
    CharSink sink = Files.asCharSink(file, Charsets.UTF_8);
    sink.writeLines(names, " ");

    String result = Files.toString(file, Charsets.UTF_8);
    String expectedValue = Joiner.on(" ").join(names);
    assertEquals(expectedValue, result.trim());
}

4. Write to File Using ByteSink

We can also write raw bytes using ByteSink. In the following example – we get a ByteSink from a file using Files.asByteSink() then use it to write:

@Test
public void whenWriteUsingByteSink_thenWritten() throws IOException {
    String expectedValue = "Hello world";
    File file = new File("test.txt");
    ByteSink sink = Files.asByteSink(file);
    sink.write(expectedValue.getBytes());

    String result = Files.toString(file, Charsets.UTF_8);
    assertEquals(expectedValue, result);
}

Note that we can move between a ByteSink and a CharSink by using the simple conversion byteSink.asCharSink().

5. Read From File Using Files

Next – let’s discuss how to Read from File Using Files.

In the following example – we read all the contents of a file using the simple Files.toString():

@Test
public void whenReadUsingFiles_thenRead() throws IOException {
    String expectedValue = "Hello world";
    File file = new File("test.txt");
    String result = Files.toString(file, Charsets.UTF_8);

    assertEquals(expectedValue, result);
}

We can also read the file into a List of lines as in the following example:

@Test
public void whenReadMultipleLinesUsingFiles_thenRead() throws IOException {
    File file = new File("test.txt");
    List<String> result = Files.readLines(file, Charsets.UTF_8);

    assertThat(result, contains("John", "Jane", "Adam", "Tom"));
}

Note that we can use Files.readFirstLine() to read only the first line of a file.

6. Read From File Using CharSource

Next – let’s see how to Read from File Using Charsource.

In the following example – we get a CharSource from a file using Files.asCharSource() then use it to read all the file contents using read():

@Test
public void whenReadUsingCharSource_thenRead() throws IOException {
    String expectedValue = "Hello world";
    File file = new File("test.txt");
    CharSource source = Files.asCharSource(file, Charsets.UTF_8);

    String result = source.read();
    assertEquals(expectedValue, result);
}

We can also concatenate two CharSources and use them as one CharSource.

In the following example – we read two files, the first one contains “Hello world” and the other contains “Test“:

@Test
public void whenReadMultipleCharSources_thenRead() throws IOException {
    String expectedValue = "Hello worldTest";
    File file1 = new File("test1.txt");
    File file2 = new File("test2.txt");

    CharSource source1 = Files.asCharSource(file1, Charsets.UTF_8);
    CharSource source2 = Files.asCharSource(file2, Charsets.UTF_8);
    CharSource source = CharSource.concat(source1, source2);

    String result = source.read();
    assertEquals(expectedValue, result);
}

7. Read From File Using CharStreams

Now – let’s see how to read the contents of a File into a String using CharStreams, via an intermediary FileReader:

@Test
public void whenReadUsingCharStream_thenRead() throws IOException {
    String expectedValue = "Hello world";
    FileReader reader = new FileReader("test.txt");
    String result = CharStreams.toString(reader);

    assertEquals(expectedValue, result);
    reader.close();
}

8. Read From File Using ByteSource

We can use ByteSource to the File contents in raw byte format – as in the following example:

@Test
public void whenReadUsingByteSource_thenRead() throws IOException {
    String expectedValue = "Hello world";
    File file = new File("test.txt");
    ByteSource source = Files.asByteSource(file);

    byte[] result = source.read();
    assertEquals(expectedValue, new String(result));
}

We can also start reading bytes after specific offset using slice() as in the following example:

@Test
public void whenReadAfterOffsetUsingByteSource_thenRead() throws IOException {
    String expectedValue = "lo world";
    File file = new File("test.txt");
    long offset = 3;
    long len = 1000;

    ByteSource source = Files.asByteSource(file).slice(offset, len);
    byte[] result = source.read();
    assertEquals(expectedValue, new String(result));
}

Note that we can use byteSource.asCharSource() to get a CharSource view of this ByteSource.

9. Read From File Using ByteStreams

Next – let’s see how read the contents of a file into a raw byte array using ByteStreams; we will use an intermediary FileInputStream to perform the conversion:

@Test
public void whenReadUsingByteStream_thenRead() throws IOException {
    String expectedValue = "Hello world";
    FileInputStream reader = new FileInputStream("test.txt");
    byte[] result = ByteStreams.toByteArray(reader);
    reader.close();

    assertEquals(expectedValue, new String(result));
}

10. Read Using Resources

Finally – let’s see how to read files that exist on the classpath – using the Resources utility as in the following example:

@Test
public void whenReadUsingResources_thenRead() throws IOException {
    String expectedValue = "Hello world";
    URL url = Resources.getResource("test.txt");
    String result = Resources.toString(url, Charsets.UTF_8);

    assertEquals(expectedValue, result);
}

11. Conclusion

In this quick tutorial, we illustrated the various ways to read and write Files using the Guava IO support and utilities.

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:

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