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.

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 – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with Spring Cloud:

>> Join Pro and download the eBook

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.

Get started with mocking and improve your application tests using our Mockito guide:

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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 – 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:

>> Join Pro and download the eBook

eBook – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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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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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Get started with Spring and Spring Boot, through the Learn Spring course:

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
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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)
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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 – 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.

Get started with Spring Data JPA through the guided reference course:

>> CHECK OUT THE COURSE

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

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.

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

Jersey is an open source framework for developing RESTful Web Services. It serves as a reference implementation of JAX-RS.

In this article, we’ll explore the creation of a RESTful Web Service using Jersey 2. Also, we’ll use Spring’s Dependency Injection (DI) with Java configuration.

2. Maven Dependencies

Let’s begin by adding dependencies to the pom.xml:

<dependency>
    <groupId>org.glassfish.jersey.containers</groupId>
    <artifactId>jersey-container-servlet</artifactId>
    <version>2.26</version>
</dependency>
<dependency>
    <groupId>org.glassfish.jersey.media</groupId>
    <artifactId>jersey-media-json-jackson</artifactId>
    <version>2.26</version>
</dependency>

Also, for Spring integration we have to add the jersey-spring4 dependency:

<dependency>
    <groupId>org.glassfish.jersey.ext</groupId>
    <artifactId>jersey-spring4</artifactId>
    <version>2.26</version>
</dependency>

The latest version of these dependencies is available at jersey-container-servlet, jersey-media-json-jackson and jersey-spring4.

3. Web Configuration

Next, we need to set up a web project to do Servlet configuration. For this, we’ll use Spring’s WebApplicationInitializer:

@Order(Ordered.HIGHEST_PRECEDENCE)
public class ApplicationInitializer 
  implements WebApplicationInitializer {
 
    @Override
    public void onStartup(ServletContext servletContext) 
      throws ServletException {
 
        AnnotationConfigWebApplicationContext context 
          = new AnnotationConfigWebApplicationContext();
 
        servletContext.addListener(new ContextLoaderListener(context));
        servletContext.setInitParameter(
          "contextConfigLocation", "com.baeldung.server");
    }
}

Here, we’re adding the @Order(Ordered.HIGHEST_PRECEDENCE) annotation to ensure that our initializer is executed before the Jersey-Spring default initializer.

4. A Service Using Jersey JAX-RS

4.1. Resource Representation Class

Let’s use a sample resource representation class:

@XmlRootElement
public class Employee {
    private int id;
    private String firstName;

    // standard getters and setters
}

Note that JAXB annotations like @XmlRootElement are required only if XML support is needed (in addition to JSON).

4.2. Service Implementation

Let’s now look at how we can use JAX-RS annotations to create RESTful web services:

@Path("/employees")
public class EmployeeResource {
 
    @Autowired
    private EmployeeRepository employeeRepository;

    @GET
    @Path("/{id}")
    @Produces({ MediaType.APPLICATION_JSON, MediaType.APPLICATION_XML })
    public Employee getEmployee(@PathParam("id") int id) {
        return employeeRepository.getEmployee(id);
    }

    @POST
    @Consumes({ MediaType.APPLICATION_JSON, MediaType.APPLICATION_XML })
    public Response addEmployee(
      Employee employee, @Context UriInfo uriInfo) {
 
        employeeRepository.addEmployee(new Employee(employee.getId(), 
          employee.getFirstName(), employee.getLastName(), 
          employee.getAge()));
 
        return Response.status(Response.Status.CREATED.getStatusCode())
          .header(
            "Location", 
            String.format("%s/%s",uriInfo.getAbsolutePath().toString(), 
            employee.getId())).build();
    }
}

The @Path annotation provides the relative URI path to the service. We can also embed variables within the URI syntax, as the {id} variable shows. Then, the variables will be substituted at runtime. To obtain, the value of the variable we can use the @PathParam annotation.

@GET, @PUT, @POST, @DELETE and @HEAD define the HTTP method of the request, which will be processed by annotated methods.

The @Produces annotation defines the endpoint’s response type (MIME media type). In our example, we’ve configured it to return either JSON or XML depending on the value of HTTP header Accept (application/json or application/xml).

On the other hand, the @Consumes annotation defines the MIME media types that the service can consume. In our example, the service can consume either JSON or XML depending on the HTTP header Content-Type (application/json or application/xml).

The @Context annotation is used to inject information into a class field, bean property or method parameter. In our example, we’re using it to inject UriInfo. We can also use it to inject ServletConfig, ServletContext, HttpServletRequest and HttpServletResponse.

5. Using ExceptionMapper

ExceptionMapper allows us to intercept the exceptions and return appropriate HTTP response code to the client. In the following example, HTTP response code 404 is returned if EmployeeNotFound exception is thrown:

@Provider
public class NotFoundExceptionHandler 
  implements ExceptionMapper<EmployeeNotFound> {
 
    public Response toResponse(EmployeeNotFound ex) {
        return Response.status(Response.Status.NOT_FOUND).build();
    }
}

6. Managing Resource Classes

Finally, let’s wire up all service implementation classes and exception mappers against an application path:

@ApplicationPath("/resources")
public class RestConfig extends Application {
    public Set<Class<?>> getClasses() {
        return new HashSet<Class<?>>(
          Arrays.asList(
            EmployeeResource.class, 
            NotFoundExceptionHandler.class, 
            AlreadyExistsExceptionHandler.class));
    }
}

7. API Testing

Let’s now test the APIs with some live tests:

public class JerseyApiLiveTest {

    private static final String SERVICE_URL
      = "http://localhost:8082/spring-jersey/resources/employees";

    @Test
    public void givenGetAllEmployees_whenCorrectRequest_thenResponseCodeSuccess() 
      throws ClientProtocolException, IOException {
 
        HttpUriRequest request = new HttpGet(SERVICE_URL);

        HttpResponse httpResponse = HttpClientBuilder
          .create()
          .build()
          .execute(request);

        assertEquals(httpResponse
          .getStatusLine()
          .getStatusCode(), HttpStatus.SC_OK);
    }
}

8. Conclusion

In this article, we’ve introduced the Jersey framework and developed a simple API. We’ve used Spring for Dependency Injection features. We have also seen the use of ExceptionMapper.

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 = 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)
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)
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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:

>> Download the eBook

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)
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)
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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)

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

>> CHECK OUT THE COURSE

Course – LS – NPI (cat=REST)
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Get started with Spring Boot and with core Spring, through the Learn Spring course:

>> CHECK OUT THE COURSE

Partner – Microsoft – NPI (cat=Spring)
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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)