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:

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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.

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:

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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:

>> 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:

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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:

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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

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. Introduction

Jersey is a full-featured open-source framework for developing web services and clients using Java. By using Jersey, we can create robust web applications that support the full set of HTTP features.

In this article, we’ll look at two specific features of Jersey: the @FormDataParam and @FormParam annotations. While these two annotations are similar in nature, they have significant differences, as we’ll see below.

2. Background

There are many ways to exchange data between clients and servers. The two most popular are XML and JSON, but they aren’t the only options.

Form encoded data is another way to format data when sending it between a client and server, particularly when the client is a web page. This is because HTML makes it easy to define forms with a variety of inputs (text, checkboxes, drop downs, etc) and send that data back to a remote server.

This is where the @FormDataParam vs. @FormParam annotations come in. They are both used to handle form data in a Jersey server application but with some important differences.

Now that we know the background of both annotations, let’s take a look at how to use each one and some of their differences.

3. Using @FormParam

In short, we use the @FormParam annotation whenever the API expects URL-encoded data. Let’s look at a simple HTML form with only text fields:

<form method="post" action="/example1">
    <input name="first_name" type="text">
    <input name="last_name" type="text">
    <input name="age" type="text">
    <input type="submit">
</form>

This form has three fields: first name, last name, and age. It also uses the HTTP POST method to send the form data to a URL located at /example1.

To process this form using Jersey, we would define the following endpoint in our server application:

@POST
@Path("/example1")
public String example1(
  @FormParam("first_name") String firstName,
  @FormParam("last_name") String lastName,
  @FormParam("age") String age)
{
    // process form data
}

Notice that we use the annotation for each field in the HTML form. This works the same regardless of how many or what types of fields the form has. By using the @FormParam annotation, Jersey binds the value from each field into the corresponding method parameter.

In practice, form-encoded data correlates to the MIME type application/x-www-form-urlencoded. Under the hood, the data sent between the web browser and our service looks like this:

first_name=john&last_name=smith&age=42

The benefit of this approach is that the data is easy to process because it only involves text and no binary data. Additionally, this approach can work using the HTTP GET verb because the string can be passed as query parameters in the URL. However, we should be careful when passing form data via URL since it may contain sensitive data.

4. Using @FormDataParam

In contrast, the @FormDataParam annotation is more flexible and can handle any combination of text and binary data. In practical terms, this is useful for things like file uploads with HTML forms.

Let’s look at an example form using the @FormDataParam annotation. To start, we must first import the jersey-media-multipart module from Maven Central into our project:

<dependency>
    <groupId>org.glassfish.jersey.media</groupId>
    <artifactId>jersey-media-multipart</artifactId>
    <version>3.1.3</version>
</dependency>

Now, let’s add a file upload field to the HTML form we created above:

<form method="post" action="/example2" enctype="multipart/form-data >
    <input name="first_name" type="text">
    <input name="last_name" type="text">
    <input name="age" type="text">
    <input name="photo" type="file">
    <input type="submit">
</form>

Notice that we’re now specifying the encoding type of multipart/form-data in the form element. This is necessary so the web browser sends the data in a format that our service is expecting.

Next, in our application, we would create the following endpoint to handle the data from this form:

@POST
@Path("/example2")
public String example2(
  @FormDataParam("first_name") String firstName,
  @FormDataParam("last_name") String lastName,
  @FormDataParam("age") String age,
  @FormDataParam("photo") InputStream photo)
{
    // handle form data
}

Notice that each form field now uses the @FormDataParam annotation. We also use an InputStream as the parameter type that handles the binary data.

Unlike the previous example, where each field and its value were combined into a string, this example combines the fields into parts. Each part is separated by a unique token, allowing Jersey to easily identify each parameter and bind each part into the corresponding method parameter.

For example, the raw message sent from this form into our service might look like this:

------WebKitFormBoundarytCyB57mkvJedAHFx
Content-Disposition: form-data; name="first_name"

John
------WebKitFormBoundarytCyB57mkvJedAHFx
Content-Disposition: form-data; name="last_name"

Smith
------WebKitFormBoundarytCyB57mkvJedAHFx
Content-Disposition: form-data; name="age"

42
------WebKitFormBoundarytCyB57mkvJedAHFx
Content-Disposition: form-data; name="photo"; filename="john-smith-profile.jpeg"
Content-Type: image/jpeg


------WebKitFormBoundarytCyB57mkvJedAHFx--

The main benefit of this approach is that we can send text and binary data together. However, there are some downsides when compared to using traditional form-encoded data.

First, we can only use the HTTP POST verb with this type. This is because the binary data cannot be encoded and passed along the URL string. Second, the payload sizes are much larger in size. As we can see in the example above, the additional text required to define separators and headers adds quite a bit of size above normal form-encoded data.

5. Conclusion

In this article, we have looked at two different annotations in the Jersey library: @FormParam and @FormDataParam. Both of these annotations process form data in an application, but as we saw, they have very different purposes.

The @FormParam is better when sending form-encoded data. This can use either GET or POST verbs but can only include text fields. On the other hand, the @FormDataParam annotation processes multi-part data. This can include text and binary data but only works with the POST verb.

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)
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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:

>> 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)
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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 – 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)
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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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Course – LS – NPI (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)