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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.

Try a 14-Day Free Trial of Orkes Conductor today.

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.

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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.

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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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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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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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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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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 – 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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Partner – LambdaTest – NPI EA (cat=Testing)
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Learn how to automate accessibility testing with Selenium and the LambdaTest cloud-based testing platform that lets developers and testers perform accessibility automation on over 3000+ real environments:

Automated Accessibility Testing With Selenium

1. Overview

When it comes to testing the code that relies on user input from the console, the process can become quite challenging. Moreover, testing user input scenarios is a crucial part of console-based or standalone applications since we need to ensure the proper handling of different inputs.

Throughout this tutorial, we’ll take a look at the ways we can test the System.in using JUnit.

2. Understanding the System Class

Before we dive in, let’s look at the System class. It’s a final class from the java.lang package.

The class provides access to the standard input and output streams through the in and out variables. Similar to the out variable, the System class has the err variable that represents the standard error output stream.

Furthermore, those variables allow us to read from and write into the console. Using these streams, we allow users to interact with our application from the console.

Next, System.in returns an InputStream which is already open to read data from the standard input. Using System.in, we can redirect the input stream going from the keyboard to the CPU into our application.

3. Example Input

Let’s start with the simple example we’ll use throughout this tutorial:

public static final String NAME = "Name: ";

public static String readName() {
    Scanner scanner = new Scanner(System.in);
    String input = scanner.next();
    return NAME.concat(input);
}

Java offers the Scanner class, which allows us to read input from various sources, including the standard keyboard input. Moreover, it provides the easiest way to read user input. Using Scanner, we can read any primitive data type or String.

In our example method, we use the next() method to read input from the user. In addition, the method reads the next word from the input as a String.

4. Using Core Java

The first approach to unit testing the standard input includes the functionalities provided by the Java API.

We can utilize System.in to create a custom InputStream and simulate user input during testing.

However, before writing the unit test, let’s write the provideInput() helper method in our test class:

void provideInput(String data) {
    ByteArrayInputStream testIn = new ByteArrayInputStream(data.getBytes());
    System.setIn(testIn);
}

Inside the method, we create a new ByteArrayInputStream and pass our desired input as a byte array.

Additionally, we use the System.setIn() method to set a custom input stream as the input for System.in.

Now, let’s write a unit test for our example method. We can call the readName() method of our application class, which now reads our custom input:

@Test
void givenName_whenReadFromInput_thenReturnCorrectResult() {
    provideInput("Baeldung");
    String input = Application.readName();
    assertEquals(NAME.concat("Baeldung"), input);
}

5. Using the System Rules Library and JUnit 4

Now, let’s see how to test standard input using the System Rules library and JUnit 4.

Firstly, let’s add a required dependency to our pom.xml:

<dependency>
    <groupId>com.github.stefanbirkner</groupId>
    <artifactId>system-rules</artifactId>
    <version>1.19.0</version>
    <scope>test</scope>
</dependency>

The library provides JUnit rules for testing the code that relies on System.in and System.out.

Additionally, it allows us to redirect input and output streams during the test execution, which makes it easy to simulate user input.

Secondly, to test System.in, we’ll need to define a new TextFromStandardInputStream rule. We’ll use the emptyStandardInputStream() method to initialize the variable with an empty input stream:

@Rule
public final TextFromStandardInputStream systemIn = emptyStandardInputStream();

Finally, let’s write the unit test:

@Test
public void givenName_whenReadWithSystemRules_thenReturnCorrectResult() {
    systemIn.provideLines("Baeldung");
    assertEquals(NAME.concat("Baeldung"), Application.readName());
}

Additionally, we use the provideLines() method that accepts varargs and sets them as the inputs.

Furthermore, the original System.in is restored after the test execution.

6. Using the System Lambda Library and JUnit 5

It’s important to mention System Rules doesn’t support JUnit 5 by default. However, they provide a System Lambda library we can use with JUnit 5.

We’ll need an additional dependency in our pom.xml:

<dependency>
    <groupId>com.github.stefanbirkner</groupId>
    <artifactId>system-lambda</artifactId>
    <version>1.2.1</version>
    <scope>test</scope>
</dependency>

Now, let’s use System Lambda in our test:

@Test
void givenName_whenReadWithSystemLambda_thenReturnCorrectResult() throws Exception {
    withTextFromSystemIn("Baeldung")
      .execute(() -> assertEquals(NAME.concat("Baeldung"), Application.readName()));
}

Here, we use the withTextFromSystemIn() static method provided in SystemLambda class to set the input lines that will be available from System.in.

7. Using the System Stubs Library and JUnit 4

Additionally, we can test the standard input using JUnit 4 and the System Stubs library.

Let’s add the required dependency:

<dependency>
    <groupId>uk.org.webcompere</groupId>
    <artifactId>system-stubs-junit4</artifactId>
    <version>2.0.2</version>
    <scope>test</scope>
</dependency>

Next, let’s create the SystemInRule and pass the desired input values:

@Rule
public SystemInRule systemInRule = new SystemInRule("Baeldung");

Now, we can use the created rule in our unit test:

@Test
public void givenName_whenReadWithSystemStubs_thenReturnCorrectResult() {
    assertThat(Application.readName()).isEqualTo(NAME.concat("Baeldung"));
}

8. Using the System Stubs Library and JUnit 5

To test System.in using System Stubs and JUnit 5, we’ll need to add another dependency:

<dependency>
    <groupId>uk.org.webcompere</groupId>
    <artifactId>system-stubs-jupiter</artifactId>
    <version>2.0.2</version>
</dependency>

To provide the input values, we’ll use the withTextFromSystemIn() method:

@Test
void givenName_whenReadWithSystemStubs_thenReturnCorrectResult() throws Exception {
    SystemStubs.withTextFromSystemIn("Baeldung")
      .execute(() -> {
        assertThat(Application.readName())
          .isEqualTo(NAME.concat("Baeldung"));
      });
}

9. Conclusion

In this article, we learned how to test System.in with both JUnit 4 and JUnit 5.

Through the first approach, we learned how to customize System.in using the core Java features. In the second approach, we saw how to use the System Rules library. Next, we learned how to use the System Lambda library to write tests with JUnit 5. Finally, we saw how to use the System Stubs library.

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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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:

>> 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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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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