Partner – Microsoft – NPI EA (cat = Baeldung)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

Let's get started with a Microservice Architecture with Spring Cloud:

>> Join Pro and download the eBook

eBook – Mockito – NPI EA (tag = Mockito)
announcement - icon

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:

Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

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 – Reactive – NPI EA (cat=Reactive)
announcement - icon

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:

>> Join Pro and download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
announcement - icon

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:

>> Join Pro and download the eBook

eBook – Jackson – NPI EA (cat=Jackson)
announcement - icon

Do JSON right with Jackson

Download the E-book

eBook – HTTP Client – NPI EA (cat=Http Client-Side)
announcement - icon

Get the most out of the Apache HTTP Client

Download the E-book

eBook – Maven – NPI EA (cat = Maven)
announcement - icon

Get Started with Apache Maven:

Download the E-book

eBook – Persistence – NPI EA (cat=Persistence)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

eBook – RwS – NPI EA (cat=Spring MVC)
announcement - icon

Building a REST API with Spring?

Download the E-book

Course – LS – NPI EA (cat=Jackson)
announcement - icon

Get started with Spring and Spring Boot, through the Learn Spring course:

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
announcement - icon

Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

>> The New “REST With Spring Boot”

Course – LSS – NPI EA (cat=Spring Security)
announcement - icon

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:

>> Learn Spring Security

Course – LSD – NPI EA (tag=Spring Data JPA)
announcement - icon

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:

>> CHECK OUT THE COURSE

Partner – MongoDB – NPI EA (tag=MongoDB)
announcement - icon

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

Partner – LambdaTest – NPI EA (cat=Testing)
announcement - icon

Accessibility testing is a crucial aspect to ensure that your application is usable for everyone and meets accessibility standards that are required in many countries.

By automating these tests, teams can quickly detect issues related to screen reader compatibility, keyboard navigation, color contrast, and other aspects that could pose a barrier to using the software effectively for people with disabilities.

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

Taking and parsing user input is a common task in our daily Java programming, and handling input that includes spaces can sometimes be tricky.

In this tutorial, we’ll explore using the Scanner class to take input as a string with spaces in Java.

2. Introduction to the Problem

As usual, let’s understand the problem with a simple example.

Let’s say our scanner receives two lines of text. The first one is a person’s name, and the second line describes the person briefly:

String input = new StringBuilder().append("Michael Jackson\n")
  .append("He was the 'King of Pop'.\n")
  .toString();

Scanner sc = new Scanner(input);

For simplicity, we’ll feed Scanner objects with strings and use unit test assertions to verify if the results are expected.

Usually, we’ll use the Scanner.next() method to read the next token from the scanner.

Next, let’s try to read two tokens from our scanner object:

String name = sc.next();
String description = sc.next();
assertEquals("Michael", name);
assertEquals("Jackson", description);

If we run the test, it passes. Obviously, Scanner doesn’t intelligently understand our requirements. Instead, it uses whitespace, including spaces and line breaks, as the default delimiter to read tokens. Therefore, we’ve got “Michael” instead of “Michael Jackson as the person’s name.

Actually, this example presents only one scenario of handling input values containing spaces. There can be two scenarios:

  • One value per line, as our “Michael Jackson” example shows
  • Values separated by a special separator

Next, we’ll figure out how to read the values containing spaces from a Scanner object. Of course, we’ll cover both scenarios.

3. One Value per Line

Let’s first take a closer look at the “one value per line” scenario. We’ll still use the previous “Michael Jackson” example as the input in this section.

3.1. Using the nextLine() Method

Since we want to read an entire line from the scanner as a value, the Scanner’s nextLine() method is a good choice. The nextLine() method reads from the current position until the next line break:

Scanner sc = new Scanner(input);
String name = sc.nextLine();
String description = sc.nextLine();
assertEquals("Michael Jackson", name);
assertEquals("He was the 'King of Pop'.", description);

As the code above shows, nextLine() solves the problem straightforwardly.

3.2. Using ‘\n‘ as the Delimiter

We’ve mentioned earlier that Scanner treats space and line breaks as delimiters by default. If we tell Scanner only to take the newline character as a delimiter, we can still use the next() method to read a line as a token. Let’s create a test to verify it:

Scanner sc = new Scanner(input);
sc.useDelimiter("\\n");
String name = sc.next();
String description = sc.next();
assertEquals("Michael Jackson", name);
assertEquals("He was the 'King of Pop'.", description);

As we can see, the useDelimiter() method is the key to solving the problem.

4. Values Separated by a Special Separator

Sometimes, our input has a predefined format. For example, a comma and a space separate an input line of three great artists’ names: “Michael Jackson, Whitney Houston, John Lennon“.

Next, let’s see how to read expected values in this scenario.

4.1. Using the String.split() Method

The first idea for solving this problem is still reading the entire line using nextLine(). Then, we can pass the separator pattern to the convenient String.split() method to get the values in an array:

String input = "Michael Jackson, Whitney Houston, John Lennon\n";

Scanner sc = new Scanner(input);
String[] names = sc.nextLine().split(", ");
assertArrayEquals(new String[] { "Michael Jackson", "Whitney Houston", "John Lennon" }, names);

The test above shows we’ve stored the three names in a string array correctly.

4.2. Customizing the Delimiter

The split() with the separator pattern approach can handle values with a custom separator. However, as arrays have fixed sizes in Java, merging arrays can be slow if the scanner input has multiple lines.

Usually, we’d use lists over arrays in Java. So next, let’s adjust the Scanner’s delimiter and store the names in a list using Scanner’s next() method.

We’ve learned to use the useDelimiter() method to set a custom delimiter pattern. Since the separator of this input example is a comma and space, some of us may come up with the idea: useDelimiter(“, “).

So next, let’s add one more name to the input and see if this idea works as expected:

String input = new StringBuilder().append("Michael Jackson, Whitney Houston, John Lennon\n")
  .append("Elvis Presley\n")
  .toString();

Scanner sc = new Scanner(input);
sc.useDelimiter(", ");
List<String> names = new ArrayList<>();
while (sc.hasNext()) {
    names.add(sc.next());
}
assertEquals(Lists.newArrayList("Michael Jackson", "Whitney Houston", "John Lennon", "Elvis Presley"), names);

The test fails if we give it a run. What a surprise! So, let’s figure out what we have in the list through a couple of assertions:

assertEquals(3, names.size());
assertEquals("John Lennon\nElvis Presley\n", names.get(2));

We can see our result list has three elements instead of four. Also the third element is “John Lennon\nElvis Presley\n”. This is because we’ve set “, ” as the delimiter. Then, newlines become parts of a token. So the next() method will treat newlines as other regular characters in the token.

Now we understand the cause of the problem. Then it’s easy to fix – we must add ‘\n‘ to the delimiter pattern:

Scanner sc = new Scanner(input);
sc.useDelimiter(", |\\n");
List<String> names = new ArrayList<>();
while (sc.hasNext()) {
    names.add(sc.next());
}
assertEquals(Lists.newArrayList("Michael Jackson", "Whitney Houston", "John Lennon", "Elvis Presley"), names);

This time, the test passes.

5. Conclusion

In this article, we’ve learned how to read values containing spaces from a Scanner through examples. The article covers two scenarios, and we’ve explored different approaches to solving the problems.

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)
announcement - icon

Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

>> Explore a clean Baeldung

Once the early-adopter seats are all used, the price will go up and stay at $33/year.

Partner – Microsoft – NPI EA (cat = Baeldung)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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:

>> Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

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)
announcement - icon

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:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

Partner – MongoDB – NPI EA (tag=MongoDB)
announcement - icon

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)

announcement - icon

Get started with Spring Boot and with core Spring, through the Learn Spring course:

>> CHECK OUT THE COURSE

eBook Jackson – NPI EA – 3 (cat = Jackson)
2 Comments
Oldest
Newest
Inline Feedbacks
View all comments