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:

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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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eBook – Persistence – NPI EA (cat=Persistence)
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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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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:

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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:

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eBook – Jackson – NPI (cat=Jackson)
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1. Introduction

The Jackson Library is a de facto standard in the Java world when it comes to processing JSON. Despite Jackson’s well-defined defaults, for mapping a Boolean value to Integer, we still need to do manual configurations.

Certainly, some developers wonder how to achieve this in the best way and with minimum effort.

In this article, we’ll explain how to serialize Boolean values as Integers — plus, numeric strings — and vice versa in Jackson.

2. Serialization

Initially, we’ll look into the serialization part. To test Boolean to Integer serialization, let’s define our model, Game:

public class Game {

    private Long id;
    private String name;
    private Boolean paused;
    private Boolean over;

    // constructors, getters and setters
}

As usual, the default serialization of the Game object will use Jackson’s ObjectMapper:

ObjectMapper mapper = new ObjectMapper();
Game game = new Game(1L, "My Game");
game.setPaused(true);
game.setOver(false);
String json = mapper.writeValueAsString(game);

Not surprisingly, the output for Boolean fields will be the default — true or false:

{"id":1, "name":"My Game", "paused":true, "over":false}

However, we aim to get the following JSON output from our Game object in the end:

{"id":1, "name":"My Game", "paused":1, "over":0}

2.1. Field Level Configuration

One pretty straightforward way of serializing into Integer is annotating our Boolean fields with @JsonFormat and setting the Shape.NUMBER for it:

@JsonFormat(shape = Shape.NUMBER)
private Boolean paused;

@JsonFormat(shape = Shape.NUMBER)
private Boolean over;

Then, let’s try our serialization in a test method:

ObjectMapper mapper = new ObjectMapper();
Game game = new Game(1L, "My Game");
game.setPaused(true);
game.setOver(false);
String json = mapper.writeValueAsString(game);

assertThat(json)
  .isEqualTo("{\"id\":1,\"name\":\"My Game\",\"paused\":1,\"over\":0}");

As we notice in our JSON output, our Boolean fields — paused and over — formed into numbers 1 and 0. We can see that the values are in integer format since they aren’t surrounded by quotes.

2.2. Global Configuration

Sometimes, annotating every field isn’t practical. For example, depending on requirements, we may need to configure our Boolean to Integer serialization globally.

Luckily, Jackson allows us to globally configure @JsonFormat by overriding the defaults in ObjectMapper:

ObjectMapper mapper = new ObjectMapper();
mapper.configOverride(Boolean.class)
  .setFormat(JsonFormat.Value.forShape(Shape.NUMBER));

Game game = new Game(1L, "My Game");
game.setPaused(true);
game.setOver(false);
String json = mapper.writeValueAsString(game);

assertThat(json)
  .isEqualTo("{\"id\":1,\"name\":\"My Game\",\"paused\":1,\"over\":0}");

3. Deserialization

Similarly, we may also want to obtain Boolean values from numbers while deserializing JSON strings into our models.

Fortunately, Jackson can parse numbers — only 1 and 0 — into Boolean values by default. So, we don’t need to use @JsonFormat annotation or any additional configuration either.

Thus, with no configuration, let’s see this behavior with the help of another test method:

ObjectMapper mapper = new ObjectMapper();
String json = "{\"id\":1,\"name\":\"My Game\",\"paused\":1,\"over\":0}";
Game game = mapper.readValue(json, Game.class);

assertThat(game.isPaused()).isEqualTo(true);
assertThat(game.isOver()).isEqualTo(false);

Consequently, Integer to Boolean deserialization is supported out of the box in Jackson.

4. Numeric Strings Instead of Integers

Another use case is using numeric strings — “1” and “0” — instead of integers. In this case, serializing Boolean values into numeric strings or deserializing them back to Boolean needs some more effort.

4.1. Serializing Into Numeric Strings

To serialize a Boolean value into numeric string equivalents, we need to define a custom serializer.

So, let’s create our NumericBooleanSerializer by extending Jackson’s JsonSerializer:

public class NumericBooleanSerializer extends JsonSerializer<Boolean> {

    @Override
    public void serialize(Boolean value, JsonGenerator gen, SerializerProvider serializers)
      throws IOException {
        gen.writeString(value ? "1" : "0");
    }
}

As a side note, normally, Boolean types can be null. However, Jackson handles this internally and doesn’t take our custom serializer into account when the value field is null. Therefore, we’re safe here.

Next, we’ll register our custom serializer so that Jackson recognizes and uses it.

If we need this behavior only for a limited number of fields, we can choose the field level configuration with the @JsonSerialize annotation.

Accordingly, let’s annotate our Boolean fields, paused and over:

@JsonSerialize(using = NumericBooleanSerializer.class)
private Boolean paused;

@JsonSerialize(using = NumericBooleanSerializer.class)
private Boolean over;

Then, likewise, we try the serialization in a test method:

ObjectMapper mapper = new ObjectMapper();
Game game = new Game(1L, "My Game");
game.setPaused(true);
game.setOver(false);
String json = mapper.writeValueAsString(game);

assertThat(json)
  .isEqualTo("{\"id\":1,\"name\":\"My Game\",\"paused\":\"1\",\"over\":\"0\"}");

Although the test method implementation is almost identical to the previous ones, we should pay attention to the quotes — “paused”:”1″, “over”:”0″ — around the number values. Surely, this indicates those values are actual strings containing numeric contents.

Last but not least, in case we need to perform this custom serialization everywhere, Jackson supports global configuration of serializers by adding them to ObjectMapper via Jackson Modules:

ObjectMapper mapper = new ObjectMapper();
SimpleModule module = new SimpleModule();
module.addSerializer(Boolean.class, new NumericBooleanSerializer());
mapper.registerModule(module);

Game game = new Game(1L, "My Game");
game.setPaused(true);
game.setOver(false);
String json = mapper.writeValueAsString(game);

assertThat(json)
  .isEqualTo("{\"id\":1,\"name\":\"My Game\",\"paused\":\"1\",\"over\":\"0\"}");

As a result, Jackson serializes all Boolean typed fields as numeric strings as long as we use the same ObjectMapper instance.

4.2. Deserializing From Numeric Strings

Similar to serializing, this time we’ll define a custom deserializer to parse numeric strings into Boolean values.

Let’s create our class NumericBooleanDeserializer by extending JsonDeserializer:

public class NumericBooleanDeserializer extends JsonDeserializer<Boolean> {

    @Override
    public Boolean deserialize(JsonParser p, DeserializationContext ctxt)
      throws IOException {
        if ("1".equals(p.getText())) {
            return Boolean.TRUE;
        }
        if ("0".equals(p.getText())) {
            return Boolean.FALSE;
        }
        return null;
    }

}

Next, we annotate our Boolean fields once more, but this time with @JsonDeserialize:

@JsonSerialize(using = NumericBooleanSerializer.class)
@JsonDeserialize(using = NumericBooleanDeserializer.class)
private Boolean paused;

@JsonSerialize(using = NumericBooleanSerializer.class)
@JsonDeserialize(using = NumericBooleanDeserializer.class)
private Boolean over;

So, let’s write another test method to see our NumericBooleanDeserializer in action:

ObjectMapper mapper = new ObjectMapper();
String json = "{\"id\":1,\"name\":\"My Game\",\"paused\":\"1\",\"over\":\"0\"}";
Game game = mapper.readValue(json, Game.class);

assertThat(game.isPaused()).isEqualTo(true);
assertThat(game.isOver()).isEqualTo(false);

Alternatively, a global configuration of our custom deserializer is also possible via Jackson Modules:

ObjectMapper mapper = new ObjectMapper();
SimpleModule module = new SimpleModule();
module.addDeserializer(Boolean.class, new NumericBooleanDeserializer());
mapper.registerModule(module);

String json = "{\"id\":1,\"name\":\"My Game\",\"paused\":\"1\",\"over\":\"0\"}";
Game game = mapper.readValue(json, Game.class);

assertThat(game.isPaused()).isEqualTo(true);
assertThat(game.isOver()).isEqualTo(false);

5. Conclusion

In this article, we described how to serialize Boolean values into integers and numeric strings and how to deserialize them back.

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)
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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?

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