Partner – Microsoft – NPI EA (cat = Baeldung)
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 – 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, 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)
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 – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
announcement - icon

Let's get started with a Microservice Architecture with Spring Cloud:

>> Join Pro and download the eBook

eBook – Mockito – NPI EA (tag = Mockito)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
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 – Jackson – NPI EA (cat=Jackson)
announcement - icon

Do JSON right with Jackson

Download the E-book

eBook – HTTP Client – NPI EA (cat=Http Client-Side)
announcement - icon

Get the most out of the Apache HTTP Client

Download the E-book

eBook – Maven – NPI EA (cat = Maven)
announcement - icon

Get Started with Apache Maven:

Download the E-book

eBook – Persistence – NPI EA (cat=Persistence)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

eBook – RwS – NPI EA (cat=Spring MVC)
announcement - icon

Building a REST API with Spring?

Download the E-book

Course – LS – NPI EA (cat=Jackson)
announcement - icon

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

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)
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

Partner – LambdaTest – NPI EA (cat=Testing)
announcement - icon

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

Apache Pulsar is a distributed Publisher-Subscriber messaging system. While the features provided by Apache Pulsar are similar to those of Apache Kafka, Pulsar aims to overcome Kafka’s limitations of high latency, low throughput, difficulties in scaling and geo-replication, and more. Apache Pulsar is a good alternative when dealing with large volumes of data that require real-time processing.

In this tutorial, we’ll see how to integrate Apache Pulsar with our Spring Boot application. We’ll leverage the PulsarTemplate and PulsarListener configured by Pulsar’s Spring Boot Starter. We’ll also see how we can modify their default configurations according to our requirements.

2. Maven Dependency

We’ll first run a standalone Apache Pulsar server as described in Introduction to Apache Pulsar.

Next, let’s add the spring-pulsar-spring-boot-starter library to our project:

<dependency>
    <groupId>org.springframework.pulsar</groupId>
    <artifactId>spring-pulsar-spring-boot-starter</artifactId>
    <version>0.2.0</version>
</dependency>

3. PulsarClient

To interact with a Pulsar server, we need to configure a PulsarClient. By default, Spring auto-configures a PulsarClient that connects to the Pulsar server on localhost:6650:

spring:
  pulsar:
    client:
      service-url: pulsar://localhost:6650

We can change this configuration to establish a connection on a different address.

To connect to a secure server, we can use pulsar+ssl instead of pulsar. We can also configure properties like connection timeout, authentication, and memory limit, among others, by adding spring.pulsar.client.* properties to the application.yml.

4. Specifying Schema for Custom Object

We’ll use a simple User class for our application:

public class User {

    private String email;
    private String firstName;

    // standard constructors, getters and setters
}

Spring-Pulsar auto-detects primitive datatypes and generates the relevant schema. But, if we need to work with a custom JSON object, we’ll have to configure its schema information for the PulsarClient:

spring:
  pulsar:
    defaults:
      type-mappings:
        - message-type: com.baeldung.springpulsar.User
          schema-info:
            schema-type: JSON

Here, the message-type property accepts the fully qualified name of the message class and schema-type provides information about the schema type to be used. For complex objects, the schema-type property accepts either AVRO or JSON values.

Although using the properties file to specify the schema is the preferred method, we can also provide this schema through a bean:

@Bean
public SchemaResolverCustomizer<DefaultSchemaResolver> schemaResolverCustomizer() {
    return (schemaResolver) -> {
        schemaResolver.addCustomSchemaMapping(User.class, Schema.JSON(User.class));
    }
}

This configuration should be added to both the producer as well as the listener applications.

5. Publisher

To publish messages on a Pulsar topic, we’ll use a PulsarTemplate. PulsarTemplate implements the PulsarOperations interface and provides methods to publish records in synchronous as well as asynchronous form. The send method blocks the calls to provide synchronous operation capabilities, whereas the sendAsync method offers non-blocking asynchronous operation.

In this tutorial, we’ll use the synchronous operation to publish records.

5.1. Publishing a Message

Spring Boot auto-configures a ready-to-use PulsarTemplate that publishes records to the specified topic.

Let’s create a producer that publishes String messages to the queue:

@Component
public class PulsarProducer {

    @Autowired
    private PulsarTemplate<String> stringTemplate;

    private static final String STRING_TOPIC = "string-topic";

    public void sendStringMessageToPulsarTopic(String str) throws PulsarClientException {
        stringTemplate.send(STRING_TOPIC, str);
    }
}

Now, let’s try to send a User object to a new queue:

@Autowired
private PulsarTemplate<User> template;

private static final String USER_TOPIC = "user-topic";

public void sendMessageToPulsarTopic(User user) throws PulsarClientException {
    template.send(USER_TOPIC, user);
}

In the above code snippet, we used the PulsarTemplate to send an object of the User class to Apache Pulsar’s topic called user-topic.

5.2. Producer-Side Customization

PulsarTemplate accepts TypedMessageBuilderCustomizer to configure outgoing messages and ProducerBuilderCustomizer to customize the producer’s properties.

We can use the TypedMessageBuilderCustomizer to configure message delay, send at a specific time, disable replication, and provide additional properties:

public void sendMessageToPulsarTopic(User user) throws PulsarClientException {
    template.newMessage(user)
      .withMessageCustomizer(mc -> {
        mc.deliverAfter(10L, TimeUnit.SECONDS);
      })
      .send();
}

ProducerBuilderCustomizer can be used to add an access mode, a custom message router, and an interceptor, and to enable or disable chunking and batching:

public void sendMessageToPulsarTopic(User user) throws PulsarClientException {
    template.newMessage(user)
      .withProducerCustomizer(pc -> {
        pc.accessMode(ProducerAccessMode.Shared);
      })
      .send();
}

6. Consumer

After publishing messages to our topic, we’ll now establish a listener for the same topic. To enable listening to a topic, we need to decorate the listener method with the @PulsarListener annotation.

Spring Boot configures all the necessary components for the listener method.

We also need to use @EnablePulsar to use the PulsarListener.

6.1. Receiving A Message

We’ll first create a listener method for the string-topic created in the earlier section:

@Service
public class PulsarConsumer {

    private static final String STRING_TOPIC = "string-topic";

    @PulsarListener(
      subscriptionName = "string-topic-subscription",
      topics = STRING_TOPIC,
      subscriptionType = SubscriptionType.Shared
    )
    public void stringTopicListener(String str) {
        LOGGER.info("Received String message: {}", str);
    }
}

Here, in the PulsarListener annotation, we’ve configured the topic this method would listen to in topicName and have given a subscription name in the subscriptionName attribute.

Now, let’s create a listener method for the user-topic used for the User class:

private static final String USER_TOPIC = "user-topic";

@PulsarListener(
    subscriptionName = "user-topic-subscription",
    topics = USER_TOPIC,
    schemaType = SchemaType.JSON
)
public void userTopicListener(User user) {
    LOGGER.info("Received user object with email: {}", user.getEmail());
}

Apart from the attributes provided in the earlier Listener method, we’ve also added a schemaType attribute that has the same value as that in its producer.

We’ll also add the @EnablePulsar annotation to our main class:

@EnablePulsar
@SpringBootApplication
public class SpringPulsarApplication {

    public static void main(String[] args) {
        SpringApplication.run(SpringPulsarApplication.class, args);
    }
}

6.2. Consumer-Side Customization

In addition to the subscription name and schema type, PulsarListener can be used to configure properties like auto-startup, batch, and acknowledgment mode:

@PulsarListener(
  subscriptionName = "user-topic-subscription",
  topics = USER_TOPIC,
  subscriptionType = SubscriptionType.Shared,
  schemaType = SchemaType.JSON,
  ackMode = AckMode.RECORD,
  properties = {"ackTimeout=60s"}
)
public void userTopicListener(User user) {
    LOGGER.info("Received user object with email: {}", user.getEmail());
}

Here, we’ve set the acknowledgment mode to Record and set the acknowledgment timeout to 60 seconds.

7. Using Dead-Letter Topic

If the acknowledgment of the message times out or the server receives nack, Pulsar tries to redeliver the message a certain number of times. After these retries are exhausted, these undelivered messages can be sent to queues known as Dead Letter Queues (DLQ).

This option is only available for the Shared subscription type. For configuring a DLQ for our user-topic queue, we’ll first create a DeadLetterPolicy bean that will define the number of times the redelivery should be attempted and the name of the queue to be used as DLQ:

private static final String USER_DEAD_LETTER_TOPIC = "user-dead-letter-topic";
@Bean
DeadLetterPolicy deadLetterPolicy() {
    return DeadLetterPolicy.builder()
      .maxRedeliverCount(10)
      .deadLetterTopic(USER_DEAD_LETTER_TOPIC)
      .build();
}

Now, we’ll add this policy to the PulsarListener we created earlier:

@PulsarListener(
  subscriptionName = "user-topic-subscription",
  topics = USER_TOPIC,
  subscriptionType = SubscriptionType.Shared,
  schemaType = SchemaType.JSON,
  deadLetterPolicy = "deadLetterPolicy",
  properties = {"ackTimeout=60s"}
)
public void userTopicListener(User user) {
    LOGGER.info("Received user object with email: {}", user.getEmail());
}

Here, we’ve configured the userTopicListener to use the deadLetterPolicy we created earlier, and we have configured an acknowledgment time of 60 seconds.

We can create a separate Listener to process the messages in the DQL:

@PulsarListener(
  subscriptionName = "dead-letter-topic-subscription",
  topics = USER_DEAD_LETTER_TOPIC,
  subscriptionType = SubscriptionType.Shared
)
public void userDlqTopicListener(User user) {
    LOGGER.info("Received user object in user-DLQ with email: {}", user.getEmail());
}

8. Conclusion

In this tutorial, we saw how to use Apache Pulsar with our Spring Boot applications and a few methods to change the default configurations.

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)
announcement - icon

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)
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 – 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)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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)

announcement - icon

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

>> CHECK OUT THE COURSE

Partner – Microsoft – NPI (cat=Spring)
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.

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