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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, 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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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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Do JSON right with Jackson

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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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Course – LSS – NPI EA (cat=Spring Security)
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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:

>> Learn Spring Security

Course – All Access – NPI EA (cat= Spring)
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All Access is finally out, with all of my Spring courses. Learn JUnit is out as well, and Learn Maven is coming fast. And, of course, quite a bit more affordable. Finally.

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Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

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Partner – LambdaTest – NPI EA (cat=Testing)
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End-to-end testing is a very useful method to make sure that your application works as intended. This highlights issues in the overall functionality of the software, that the unit and integration test stages may miss.

Playwright is an easy-to-use, but powerful tool that automates end-to-end testing, and supports all modern browsers and platforms.

When coupled with LambdaTest (an AI-powered cloud-based test execution platform) it can be further scaled to run the Playwright scripts in parallel across 3000+ browser and device combinations:

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Course – Spring Sale 2025 – NPI EA (cat= Baeldung)
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Course – Spring Sale 2025 – NPI (cat=Baeldung)
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eBook – Guide Junit – NPI (tag = JUnit)
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Improve your tests with JUnit 5, from mastering the basics to employing the new powerful features from JUnit 5 like extensions, tagging, filtering, parameterized tests, and more:

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1. Overview

Dynamic testing is a new programming model introduced in JUnit 5. In this article, we’ll have a look at what exactly dynamic tests are and how to create them.

If you’re completely new to JUnit 5, you might want to check the preview of JUnit 5 and our primary guide.

2. What Is a DynamicTest?

The standard tests annotated with @Test annotation are static tests which are fully specified at the compile time. A DynamicTest is a test generated during runtime. These tests are generated by a factory method annotated with the @TestFactory annotation.

A @TestFactory method must return a Stream, Collection, Iterable, or Iterator of DynamicTest instances. Returning anything else will result in a JUnitException since the invalid return types cannot be detected at compile time. Apart from this, a @TestFactory method cannot be static or private.

The DynamicTests are executed differently than the standard @Tests and do not support lifecycle callbacks. Meaning, the @BeforeEach and the @AfterEach methods will not be called for the DynamicTests.

3. Creating DynamicTests

First, let’s have a look at different ways of creating DynamicTests.

The examples here are not dynamic in nature, but they’ll provide a good starting point for creating truly dynamic ones.

We’re going to create a Collection of DynamicTest:

@TestFactory
Collection<DynamicTest> dynamicTestsWithCollection() {
    return Arrays.asList(
      DynamicTest.dynamicTest("Add test",
        () -> assertEquals(2, Math.addExact(1, 1))),
      DynamicTest.dynamicTest("Multiply Test",
        () -> assertEquals(4, Math.multiplyExact(2, 2))));
}

The @TestFactory method tells JUnit that this is a factory for creating dynamic tests. As we can see, we’re only returning a Collection of DynamicTest. Each of the DynamicTest consists of two parts, the name of the test or the display name, and an Executable.

The output will contain the display name that we passed to the dynamic tests:

Add test(dynamicTestsWithCollection())
Multiply Test(dynamicTestsWithCollection())

The same test can be modified to return an Iterable, Iterator, or a Stream:

@TestFactory
Iterable<DynamicTest> dynamicTestsWithIterable() {
    return Arrays.asList(
      DynamicTest.dynamicTest("Add test",
        () -> assertEquals(2, Math.addExact(1, 1))),
      DynamicTest.dynamicTest("Multiply Test",
        () -> assertEquals(4, Math.multiplyExact(2, 2))));
}

@TestFactory
Iterator<DynamicTest> dynamicTestsWithIterator() {
    return Arrays.asList(
      DynamicTest.dynamicTest("Add test",
        () -> assertEquals(2, Math.addExact(1, 1))),
      DynamicTest.dynamicTest("Multiply Test",
        () -> assertEquals(4, Math.multiplyExact(2, 2))))
        .iterator();
}

@TestFactory
Stream<DynamicTest> dynamicTestsFromIntStream() {
    return IntStream.iterate(0, n -> n + 2).limit(10)
      .mapToObj(n -> DynamicTest.dynamicTest("test" + n,
        () -> assertTrue(n % 2 == 0)));
}

Please note that if the @TestFactory returns a Stream, then it will be automatically closed once all the tests are executed.

The output will be pretty much the same as the first example. It will contain the display name that we pass to the dynamic test.

4. Creating a Stream of DynamicTests

For the demonstration purposes, consider a DomainNameResolver which returns an IP address when we pass the domain name as input.

For the sake of simplicity, let’s have a look at the high-level skeleton of our factory method:

@TestFactory
Stream<DynamicTest> dynamicTestsFromStream() {

    // sample input and output
    List<String> inputList = Arrays.asList(
      "www.somedomain.com", "www.anotherdomain.com", "www.yetanotherdomain.com");
    List<String> outputList = Arrays.asList(
      "154.174.10.56", "211.152.104.132", "178.144.120.156");

    // input generator that generates inputs using inputList
    /*...code here...*/

    // a display name generator that creates a 
    // different name based on the input
    /*...code here...*/

    // the test executor, which actually has the 
    // logic to execute the test case
    /*...code here...*/

    // combine everything and return a Stream of DynamicTest
    /*...code here...*/
}

There isn’t much code related to DynamicTest here apart from the @TestFactory annotation, which we’re already familiar with.

The two ArrayLists will be used as input to DomainNameResolver and expected output respectively.

Let’s now have a look at the input generator:

Iterator<String> inputGenerator = inputList.iterator();

The input generator is nothing but an Iterator of String. It uses our inputList and returns the domain name one by one.

The display name generator is fairly simple:

Function<String, String> displayNameGenerator 
  = (input) -> "Resolving: " + input;

The task of a display name generator is just to provide a display name for the test case that will be used in JUnit reports or the JUnit tab of our IDE.

Here we are just utilizing the domain name to generate unique names for each test. It’s not required to create unique names, but it will help in case of any failure. Having this, we’ll be able to tell the domain name for which the test case failed.

Now let’s have a look at the central part of our test – the test execution code:

DomainNameResolver resolver = new DomainNameResolver();
ThrowingConsumer<String> testExecutor = (input) -> {
    int id = inputList.indexOf(input);
 
    assertEquals(outputList.get(id), resolver.resolveDomain(input));
};

We have used the ThrowingConsumer, which is a @FunctionalInterface for writing the test case. For each input generated by the data generator, we’re fetching the expected output from the outputList and the actual output from an instance of DomainNameResolver.

Now the last part is simply to assemble all the pieces and return as a Stream of DynamicTest:

return DynamicTest.stream(
  inputGenerator, displayNameGenerator, testExecutor);

That’s it. Running the test will display the report containing the names defined by our display name generator:

Resolving: www.somedomain.com(dynamicTestsFromStream())
Resolving: www.anotherdomain.com(dynamicTestsFromStream())
Resolving: www.yetanotherdomain.com(dynamicTestsFromStream())

5. Improving the DynamicTest Using Java 8 Features

The test factory written in the previous section can be drastically improved by using the features of Java 8. The resultant code will be much cleaner and can be written in a lesser number of lines:

@TestFactory
Stream<DynamicTest> dynamicTestsFromStreamInJava8() {
        
    DomainNameResolver resolver = new DomainNameResolver();
        
    List<String> domainNames = Arrays.asList(
      "www.somedomain.com", "www.anotherdomain.com", "www.yetanotherdomain.com");
    List<String> outputList = Arrays.asList(
      "154.174.10.56", "211.152.104.132", "178.144.120.156");
        
    return inputList.stream()
      .map(dom -> DynamicTest.dynamicTest("Resolving: " + dom, 
        () -> {int id = inputList.indexOf(dom);
 
      assertEquals(outputList.get(id), resolver.resolveDomain(dom));
    }));       
}

The above code has the same effect as the one we saw in the previous section. The inputList.stream().map() provides the stream of inputs (input generator). The first argument to dynamicTest() is our display name generator (“Resolving: ” + dom) while the second argument, a lambda, is our test executor.

The output will be the same as the one from the previous section.

6. Additional Example

In this example, we’re further exploring the power of the dynamic tests to filter the inputs based on the test cases:

@TestFactory
Stream<DynamicTest> dynamicTestsForEmployeeWorkflows() {
    List<Employee> inputList = Arrays.asList(
      new Employee(1, "Fred"), new Employee(2), new Employee(3, "John"));
        
    EmployeeDao dao = new EmployeeDao();
    Stream<DynamicTest> saveEmployeeStream = inputList.stream()
      .map(emp -> DynamicTest.dynamicTest(
        "saveEmployee: " + emp.toString(), 
          () -> {
              Employee returned = dao.save(emp.getId());
              assertEquals(returned.getId(), emp.getId());
          }
    ));
        
    Stream<DynamicTest> saveEmployeeWithFirstNameStream 
      = inputList.stream()
      .filter(emp -> !emp.getFirstName().isEmpty())
      .map(emp -> DynamicTest.dynamicTest(
        "saveEmployeeWithName" + emp.toString(), 
        () -> {
            Employee returned = dao.save(emp.getId(), emp.getFirstName());
            assertEquals(returned.getId(), emp.getId());
            assertEquals(returned.getFirstName(), emp.getFirstName());
        }));
        
    return Stream.concat(saveEmployeeStream, 
      saveEmployeeWithFirstNameStream);
}

The save(Long) method needs only the employeeId. Hence, it utilizes all the Employee instances. The save(Long, String) method needs firstName apart from the employeeId. Hence, it filters out the Employee instances without firstName.

Finally, we combine both the streams and return all the tests as a single Stream.

Now, let’s have a look at the output:

saveEmployee: Employee 
  [id=1, firstName=Fred](dynamicTestsForEmployeeWorkflows())
saveEmployee: Employee 
  [id=2, firstName=](dynamicTestsForEmployeeWorkflows())
saveEmployee: Employee 
  [id=3, firstName=John](dynamicTestsForEmployeeWorkflows())
saveEmployeeWithNameEmployee 
  [id=1, firstName=Fred](dynamicTestsForEmployeeWorkflows())
saveEmployeeWithNameEmployee 
  [id=3, firstName=John](dynamicTestsForEmployeeWorkflows())

7. Conclusion

The parameterized tests can replace many of the examples in this article. However, the dynamic tests differ from the parameterized tests as they do not support full test lifecycle, while parametrized tests do.

Moreover, dynamic tests provide more flexibility regarding how the input is generated and how the tests are executed.

JUnit 5 prefers extensions over features principle. As a result, the main aim of dynamic tests is to provide an extension point for third party frameworks or extensions.

You can read more about other features of JUnit 5 in our article on repeated tests in JUnit 5.

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:

>> 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 = 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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Course – LS – NPI EA (cat=REST)

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