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:

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 – 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:

>> Join Pro and 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 – 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

Download the E-book

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

eBook – HTTP Client – NPI (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

1. Overview

The Java HttpClient API was introduced with Java 11. The API implements the client-side of the most recent HTTP standards. It supports HTTP/1.1 and HTTP/2, both synchronous and asynchronous programming models.

We can use it to send HTTP requests and retrieve their responses. Before Java 11, we had to rely on a rudimentary URLConnection implementation or third-party libraries such as Apache HttpClient.

In this tutorial, we’ll look at the sending POST requests using Java HttpClient. We’ll show how to send both synchronous and asynchronous POST requests, as well as concurrent POST requests. In addition, we’ll check how to add authentication parameters and JSON bodies to POST requests.

Finally, we’ll see how to upload files and submit form data. Therefore, we’ll cover most of the common use cases.

2. Preparing a POST Request

Before we can send an HTTP request, we’ll first need to create an instance of an HttpClient.

HttpClient instances can be configured and created from its builder using the newBuilder method. Otherwise, if no configuration is required, we can make use of the newHttpClient utility method to create a default client:

HttpClient client = HttpClient.newHttpClient();

HttpClient will use HTTP/2 by default. It will also automatically downgrade to HTTP/1.1 if the server doesn’t support HTTP/2.

Now we are ready to create an instance of HttpRequest from its builder. We’ll make use of the client instance to send this request later on. The minimum parameters for a POST request are the server URL, request method, and body:

HttpRequest request = HttpRequest.newBuilder()
  .uri(URI.create(serviceUrl))
  .POST(HttpRequest.BodyPublishers.noBody())
  .build();

A request body needs to be supplied via the BodyPublisher class. It’s a reactive-stream publisher that publishes streams of request body on-demand. In our example, we used a body publisher which sends no request body.

3. Sending a POST Request

Now that we’ve prepared a POST request, let’s look at the different options for sending it.

3.1. Synchronously

We can send the prepared request using this default send method. This method will block our code until the response has been received:

HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString())

The BodyHandlers utility implements various useful handlers, such as handling the response body as a String or streaming the response body to a file. Once the response is received, the HttpResponse object will contain the response status, headers, and body:

assertThat(response.statusCode())
  .isEqualTo(200);
assertThat(response.body())
  .isEqualTo("{\"message\":\"ok\"}");

3.2. Asynchronously

We could send the same request from the previous example asynchronously using the sendAsync method. Instead of blocking our code, this method will immediately return a CompletableFuture instance:

CompletableFuture<HttpResponse<String>> futureResponse = client.sendAsync(request, HttpResponse.BodyHandlers.ofString());

The CompletableFuture completes with the HttpResponse once it becomes available:

HttpResponse<String> response = futureResponse.get();
assertThat(response.statusCode()).isEqualTo(200);
assertThat(response.body()).isEqualTo("{\"message\":\"ok\"}");

3.3. Concurrently

We can combine Streams with CompletableFutures in order to issue several requests concurrently and await their responses:

List<CompletableFuture<HttpResponse<String>>> completableFutures = serviceUrls.stream()
  .map(URI::create)
  .map(HttpRequest::newBuilder)
  .map(builder -> builder.POST(HttpRequest.BodyPublishers.noBody()))
  .map(HttpRequest.Builder::build)
  .map(request -> client.sendAsync(request, HttpResponse.BodyHandlers.ofString()))
  .collect(Collectors.toList());

Now, let’s wait for all the requests to be complete so that we can process their responses all at once:

CompletableFuture<List<HttpResponse<String>>> combinedFutures = CompletableFuture
  .allOf(completableFutures.toArray(new CompletableFuture[0]))
  .thenApply(future ->
    completableFutures.stream()
      .map(CompletableFuture::join)
      .collect(Collectors.toList()));

As we’ve combined all the responses using the allOf and join methods, we get a new CompletableFuture that holds our responses:

List<HttpResponse<String>> responses = combinedFutures.get();
responses.forEach((response) -> {
  assertThat(response.statusCode()).isEqualTo(200);
  assertThat(response.body()).isEqualTo("{\"message\":\"ok\"}");
});

4. Adding Authentication Parameters

We can set an authenticator on the client level for HTTP authentication on all requests:

HttpClient client = HttpClient.newBuilder()
  .authenticator(new Authenticator() {
    @Override
    protected PasswordAuthentication getPasswordAuthentication() {
      return new PasswordAuthentication(
        "baeldung",
        "123456".toCharArray());
      }
  })
  .build();

However, the HttpClient does not send basic credentials until challenged for them with a WWW-Authenticate header from the server.

To bypass this, we can always create and send the basic authorization header manually:

HttpRequest request = HttpRequest.newBuilder()
  .uri(URI.create(serviceUrl))
  .POST(HttpRequest.BodyPublishers.noBody())
  .header("Authorization", "Basic " + 
    Base64.getEncoder().encodeToString(("baeldung:123456").getBytes()))
  .build();

5. Adding a Body

In the examples so far, we haven’t added any bodies to our POST requests. However, the POST method is commonly used to send data to the server via the request body.

5.1. JSON Body

The BodyPublishers utility implements various useful publishers, such as publishing the request body from a String or a file. We can publish JSON data as String, converted using the UTF-8 character set:

HttpRequest request = HttpRequest.newBuilder()
  .uri(URI.create(serviceUrl))
  .POST(HttpRequest.BodyPublishers.ofString("{\"action\":\"hello\"}"))
  .build();

5.2. Uploading Files

Let’s create a temporary file that we can use for uploading via HttpClient:

Path file = tempDir.resolve("temp.txt");
List<String> lines = Arrays.asList("1", "2", "3");
Files.write(file, lines);

HttpClient provides a separate method, BodyPublishers.ofFile, for adding a file to the POST body. We can simply add our temporary file as a method parameter, and the API takes care of the rest:

HttpRequest request = HttpRequest.newBuilder()
  .uri(URI.create(serviceUrl))
  .POST(HttpRequest.BodyPublishers.ofFile(file))
  .build();

5.3. Submitting Forms

Contrary to files, HttpClient does not provide a separate method for posting form data. Therefore, we’ll again need to make use of the BodyPublishers.ofString method:

Map<String, String> formData = new HashMap<>();
formData.put("username", "baeldung");
formData.put("message", "hello");

HttpRequest request = HttpRequest.newBuilder()
  .uri(URI.create(serviceUrl))
  .header("Content-Type", "application/x-www-form-urlencoded")
  .POST(HttpRequest.BodyPublishers.ofString(getFormDataAsString(formData)))
  .build();

However, we’ll need to convert the form data from a Map to a String using a custom implementation:

private static String getFormDataAsString(Map<String, String> formData) {
    StringBuilder formBodyBuilder = new StringBuilder();
    for (Map.Entry<String, String> singleEntry : formData.entrySet()) {
        if (formBodyBuilder.length() > 0) {
            formBodyBuilder.append("&");
        }
        formBodyBuilder.append(URLEncoder.encode(singleEntry.getKey(), StandardCharsets.UTF_8));
        formBodyBuilder.append("=");
        formBodyBuilder.append(URLEncoder.encode(singleEntry.getValue(), StandardCharsets.UTF_8));
    }
    return formBodyBuilder.toString();
}

6. Conclusion

In this article, we explored sending POST requests using Java HttpClient API introduced in Java 11.

We learned how to create an HttpClient instance and prepare a POST request. We saw how to send prepared requests synchronously, asynchronously, and concurrently. Next, we also saw how to add basic authentication parameters.

Finally, we looked at adding a body to a POST request. We covered JSON payloads, uploading files, and submitting form data.

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)
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)
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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:

>> CHECK OUT THE COURSE

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

>> CHECK OUT THE COURSE

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