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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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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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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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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.

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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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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.

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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.

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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

Aspect-oriented programming (AOP) improves program design by separating a cross-cutting concern into a base unit, called an aspect, from the main application logic. Spring AOP is a framework that helps us implement aspects with ease.

AOP aspects are no different from other software components. They require different tests to verify their correctness. In this tutorial, we’ll learn how to conduct unit and integration tests on Spring AOP aspects.

2. What Is AOP?

AOP is a programming paradigm that complements object-oriented programming (OOP) to modularize cross-cutting concerns, which are functions spanning the main application. A class is a base unit in OOP, while an aspect is the base unit in AOP. Logging and transaction management are typical examples of cross-cutting concerns.

An aspect is composed of two components. One is the advice that defines the logic of the cross-cutting concern, while the other is a pointcut that specifies when we should apply the logic during application execution.

The following table provides an overview of the common AOP terms:

Term Description
Concern Specific functionality of an application.
Cross-cutting concern Specific functionality that spans multiple parts of the applications.
Aspect An AOP base unit that contains advices and pointcuts to implement cross-cutting concerns.
Advice The specific logic we want to invoke in cross-cutting concerns.
Pointcut An expression selecting join points that will apply the advice.
Join Point An execution point of an application such as a method.

3. Execution Time Logging

In this section, let’s create a sample aspect that logs the execution time around a join point.

3.1. Maven Dependency

There are different Java AOP frameworks, such as Spring AOP and AspectJ. In this tutorial, we’ll use Spring AOP and include the following dependency in our pom.xml:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-aop</artifactId>
    <version>3.3.2</version>
</dependency>

For the logging part, we’re choosing SLF4J as the API and SLF4J simple provider for the logging implementation. SLF4J is a facade that provides a unified API across different logging implementations.

As such, we include the SLF4J API and SLF4J simple provider dependencies in our pom.xml as well:

<dependency>
    <groupId>org.slf4j</groupId>
    <artifactId>slf4j-api</artifactId>
    <version>2.0.13</version>
</dependency>
<dependency>
    <groupId>org.slf4j</groupId>
    <artifactId>slf4j-simple</artifactId>
    <version>2.0.13</version>
</dependency>

3.2. Execution Time Aspect

Our ExecutionTimeAspect class is simple and only contains an advice logExecutionTime(). We annotate our class with @Aspect and @Component to declare it an aspect and enable Spring to manage it:

@Aspect
@Component
public class ExecutionTimeAspect {
    private Logger log = LoggerFactory.getLogger(ExecutionTimeAspect.class);

    @Around("execution(* com.baeldung.unittest.ArraySorting.sort(..))")
    public Object logExecutionTime(ProceedingJoinPoint joinPoint) throws Throwable {
        long t = System.currentTimeMillis();
        Object result = joinPoint.proceed();
        log.info("Execution time=" + (System.currentTimeMillis() - t) + "ms");
        return result;
    }
}

The @Around annotation indicates the advice logExecutionTime() runs around the target join point defined by the pointcut expression execution(…). In Spring AOP, a join point is always a method.

4. Unit Test on Aspect

From a unit test perspective, we’re testing solely the logic inside the aspect without any dependencies, including the Spring application context. In this example, we use Mockito to mock the joinPoint and the logger, and then inject the mocks into our testing aspect.

The unit test class is annotated with @ExtendsWith(MockitoExtension.class) to enable the Mockito functionalities for JUnit 5. It automatically initializes mocks and injects them into our testing unit that’s annotated with @InjectMocks:

@ExtendWith(MockitoExtension.class)
class ExecutionTimeAspectUnitTest {
    @Mock
    private ProceedingJoinPoint joinPoint;

    @Mock
    private Logger logger;

    @InjectMocks
    private ExecutionTimeAspect aspect;

    @Test
    void whenExecuteJoinPoint_thenLoggerInfoIsCalled() throws Throwable {
        when(joinPoint.proceed()).thenReturn(null);
        aspect.logExecutionTime(joinPoint);
        verify(joinPoint, times(1)).proceed();
        verify(logger, times(1)).info(anyString());
    }
}

In this test case, we expect the joinPoint.proceed() method to be invoked once in the aspect. Also, the logger info() method should be invoked once as well to log the execution time.

To verify the logging message more precisely, we could use the ArgumentCaptor class to capture the log message. This enables us to assert the message produced beginning with “Execution time=“:

ArgumentCaptor<String> argumentCaptor = ArgumentCaptor.forClass(String.class);
verify(logger, times(1)).info(argumentCaptor.capture());
assertThat(argumentCaptor.getValue()).startsWith("Execution time=");

5. Integration Test on Aspect

From a integration test perspective, we’ll need the class implementation ArraySorting to apply our advice to the target class via pointcut expression. The sort() method simply calls the static method Collections.sort() to sort a list:

@Component
public class ArraySorting {
    public <T extends Comparable<? super T>> void sort(List<T> list) {
        Collections.sort(list);
    }
}

A question may arise: why don’t we apply our advice to the Collections.sort() static method instead? It’s a limitation of Spring AOP that it doesn’t work on static methods. Spring AOP creates dynamic proxies to intercept method calls. This mechanism requires invoking the actual method on the target object, while a static method can be invoked without an object. If we need to intercept static methods, we must adopt another AOP framework, such as AspectJ, that supports compile-time weaving.

In the integration test, we need the Spring application context to create a proxy object to intercept the target method and apply the advice. We annotate the integration test class with @SpringBootTest to load the application context that enables AOP and dependency injection capabilities:

@SpringBootTest
class ExecutionTimeAspectIntegrationTest {
    @Autowired
    private ArraySorting arraySorting;

    private List<Integer> getRandomNumberList(int size) {
        List<Integer> numberList = new ArrayList<>();
        for (int n=0;n<size;n++) {
            numberList.add((int) Math.round(Math.random() * size));
        }
        return numberList;
    }

    @Test
    void whenSort_thenExecutionTimeIsPrinted() {
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        PrintStream originalSystemOut = System.out;
        System.setOut(new PrintStream(baos));

        arraySorting.sort(getRandomNumberList(10000));

        System.setOut(originalSystemOut);
        String logOutput = baos.toString();
        assertThat(logOutput).contains("Execution time=");
    }
}

The test method can be divided into three parts. Initially, it redirects the output stream to a dedicated buffer for the  assertion later. Subsequently, it calls the sort()  method that invokes the advice within the aspect. It’s important to inject the ArraySorting instance via @Autowired instead of instantiating an instance with new ArraySorting(). This ensures Spring AOP is activated on the target class. Finally, it asserts whether the log is present in the buffer.

6. Conclusion

In this article, we discussed the fundamental concepts of AOP and saw how to use a Spring AOP aspect on a target class. We also looked into testing aspects with unit tests and integration tests to verify the correctness of the aspects.

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:

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

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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.

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