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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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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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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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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. Introduction

First, let’s go over some basic theory.

Simply put, a number is prime if it’s only divisible by one and by the number itself. The non-prime numbers are called composite numbers. And number one is neither prime nor composite.

In this article, we’ll have a look at different ways to check the primality of a number in Java.

2. A Custom Implementation

With this approach, we can check if a number between 2 and (square root of the number) can accurately divide the number.

The following logic will return true if the number is prime:

boolean isPrime(int number) {
    return number > 1 
      && IntStream.rangeClosed(2, (int) Math.sqrt(number))
      .noneMatch(n -> (number % n == 0));
}

3. Using BigInteger

Usually, we use the BigInteger class for storing large-sized integers, i.e., those greater than 64 bits. It provides a few useful APIs for working with int and long values.

One of those APIs is the isProbablePrime. This API returns false if the number is definitely a composite and returns true if there is some probability of it being prime. It is useful when dealing with large integers because it can be quite an intensive computation to verify these fully.

A quick side-note – the isProbablePrime API uses what’s known as “Miller – Rabin and Lucas – Lehmer” primality tests to check if the number is probably prime. In cases where the number is less than 100 bits, only the “Miller – Rabin” test is used, otherwise, both tests are used for checking the primality of a number.

“Miller-Rabin” test iterates a fixed number of times to determine the primality of number and this iteration count is determined by a simple check which involves the bit length of the number and the certainty value passed to the API:

boolean isPrimeByBigInteger(int number) {
    BigInteger bigInt = BigInteger.valueOf(number);
    return bigInt.isProbablePrime(100);
}

4. Using Apache Commons Math

Apache Commons Math API provides a method named org.apache.commons.math3.primes.Primes, which we will use for checking the primality of a number.

First, we need to import the Apache Commons Math library by adding the following dependency in our pom.xml:

<dependency>
    <groupId>org.apache.commons</groupId>
    <artifactId>commons-math3</artifactId>
    <version>3.6.1</version>
</dependency>

We can check the latest version of the commons-math3 library here.

We could do the check just by calling the method:

Primes.isPrime(number);

5. Finding All Prime Numbers in an int Array

So far, we’ve learned three approaches to determining whether an int is a prime number. Next, let’s use these three approaches to solve a problem: finding all prime numbers in an int array.

Let’s say we have an int array:

int[] theArray = new int[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 };

Our goal is to find all prime numbers in theArray. For simplicity, we would like to put found prime numbers into a Set:

Set<Integer> expected = Set.of(2, 3, 5, 7, 11, 13);

To solve the problem, we could loop through the array to check and collect prime numbers. However, the Stream API enables us to write more functional and readable code for this task. Next, let’s first use the self-implemented prime check method to find primes in the input array:

Set<Integer> result = Arrays.stream(theArray)
  .filter(PrimeChecker::isPrime)
  .boxed()
  .collect(Collectors.toSet());
assertEquals(expected, result);

It’s worth mentioning that we use boxed() to convert IntStream to Stream<Integer> so that the found primes can be collected into a Set<Integer>.

Similarly, we can use the BigInteger approach or the Primes.isPrime() method from the Apache Commons Math library to do the job:

Set<Integer> resultByBigIntegerApproach = Arrays.stream(theArray)
  .filter(PrimeChecker::isPrimeByBigInteger)
  .boxed()
  .collect(Collectors.toSet());
assertEquals(expected, resultByBigIntegerApproach);
 
Set<Integer> resultByApacheCommonsMath = Arrays.stream(theArray)
  .filter(Primes::isPrime)
  .boxed()
  .collect(Collectors.toSet());
assertEquals(expected, resultByApacheCommonsMath);

As we can see, using Stream API, we can make method calls fluently, and the pipeline is pretty easy to follow.

6. Conclusion

In this quick write-up, we have seen three ways of checking for the primality of a number.

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:

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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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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

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