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

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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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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.

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Partner – LambdaTest – NPI EA (cat=Testing)
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1. Overview

String is probably one of the most commonly used types in Java.

In this tutorial, we’ll explore how to convert a String into a String array (String[]).

2. Introduction to the Problem

Converting a string to a string array could have two scenarios:

  • converting the string to a singleton array (an array with only one single element)
  • breaking the string into elements of an array following a particular rule

Case 1 is relatively easy to understand. For example, if we have a string “baeldung”, we want to convert it to String[]{ “baeldung” }. In other words, the converted array has only one element, which is the input string itself.

For case 2, we need to break the input string into pieces. However, how the result should be is entirely dependent on the requirement. For example, if we expect each element in the final array contains two adjacent characters from the input string, given “baeldung”, we’ll have String[]{ “ba”, “el”, “du”, “ng” }. Later, we’ll see more examples.

In this tutorial, we’ll take this string as the input:

String INPUT = "Hi there, nice to meet you!";

Of course, we’ll cover both conversion scenarios. Further, for simplicity, we’ll use unit test assertions to verify whether our solutions work as expected.

3. Converting to a Singleton Array

As the input string will be the only element in the target array, we can simply initialize an array using the input string to solve the problem:

String[] myArray = new String[] { INPUT };
assertArrayEquals(new String[] { "Hi there, nice to meet you!" }, myArray);

Then, if we run the test, it passes.

4. Converting the Input String Into Elements in an Array

Now, let’s see how to break the input string into segments.

4.1. Using the String‘s split() Method

We often need to work with input strings in specific patterns. In this case, we can break the inputs into a String array using regular expressions or regexJava’s String class provides the split() method to do this job.

Next, we’ll address splitting our input example into an array following a few different requirements.

First, let’s say we want to split the input sentence into an array of clauses. To solve this problem, we can split the input string by punctuation marks:

String[] myArray = INPUT.split("[-,.!;?]\\s*" );
assertArrayEquals(new String[] { "Hi there", "nice to meet you" }, myArray);

It’s worth mentioning that when we need a regex’s character class to contain a dash character, we can put it at the very beginning.

The test above shows that the input string is broken into two clauses in an array.

Next, let’s extract all words from the same input string into an array of words. This is also a common problem we may face in the real world.

To get the word array, we can split the input by non-word characters (\W+):

String[] myArray = INPUT.split("\\W+");
assertArrayEquals(new String[] { "Hi", "there", "nice", "to", "meet", "you" }, myArray);

Finally, let’s break the input string into characters:

String[] myArray = INPUT.split("");
assertArrayEquals(new String[] {
    "H", "i", " ", "t", "h", "e", "r", "e", ",", " ",
    "n", "i", "c", "e", " ", "t", "o", " ", "m", "e", "e", "t", " ", "y", "o", "u", "!"
}, myArray);

As the code above shows, we use an empty string (zero width) as the regex. Every character, including the space in the input string, is extracted as an element of the target array.

We should note the String.toCharArray() converts the input to an array too. However, the target array is a char array (char[]) instead of a String array (String[]).

The three examples used the String.split() method to convert the input string to different string arrays. Some popular libraries, such as Guava and Apache Commons, also provide enhanced string split functionalities. We’ve talked about that in another article in detail.

Furthermore, we have many other articles to discuss how to solve different concrete splitting problems.

4.2. Special Parsing Requirements

Sometimes we must follow a particular rule to split the input. An example can quickly clarify it. Let’s say we have this input string:

String FLIGHT_INPUT = "20221018LH720FRAPEK";

And we expect to get this array as a result:

{ "20221018", "LH720", "FRA", "PEK" }

Well, at the first glance, this conversion logic looks obscure. However, if we list the definition of the input string, we’ll see why the array above is expected:

[date][Flight number][Airport from][Airport to]
- date: YYYY-MM-DD; length:8
- Flight number; length: variable
- Airport From: IATA airport code, length:3
- Airport To: IATA airport code, length:3

As we can see, sometimes we need to parse the input string following a pretty special rule. In that case, we need to analyze the requirement and implement a parser:

String dateStr = FLIGHT_INPUT.substring(0, 8);
String flightNo = FLIGHT_INPUT.substring(8, FLIGHT_INPUT.length() - 6);
int airportStart = dateStr.length() + flightNo.length();
String from = FLIGHT_INPUT.substring(airportStart, airportStart + 3);
String to = FLIGHT_INPUT.substring(airportStart + 3);
                                                                               
String[] myArray = new String[] { dateStr, flightNo, from, to };
assertArrayEquals(new String[] { "20221018", "LH720", "FRA", "PEK" }, myArray);

As the code above shows, we’ve used the substring() method to build a parser and processed the flight input correctly.

5. Conclusion

In this article, we’ve learned how to convert a String to a String array in Java.

Simply put, converting a string to a singleton array is pretty straightforward. If we need to break the given string into segments, we can turn to the String.split() method. However, if we need to break the input following a particular rule, we may want to analyze the input format carefully and implement a parser to solve the problem.

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:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Course – LS – NPI EA (cat=REST)

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

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