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.

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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.

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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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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:

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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

Partner – LambdaTest – NPI EA (cat=Testing)
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Browser testing is essential if you have a website or web applications that users interact with. Manual testing can be very helpful to an extent, but given the multiple browsers available, not to mention versions and operating system, testing everything manually becomes time-consuming and repetitive.

To help automate this process, Selenium is a popular choice for developers, as an open-source tool with a large and active community. What's more, we can further scale our automation testing by running on theLambdaTest cloud-based testing platform.

Read more through our step-by-step tutorial on how to set up Selenium tests with Java and run them on LambdaTest:

>> Automated Browser Testing With Selenium

Partner – Orkes – NPI EA (cat=Java)
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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.

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 – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

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

Formatting dates consistently is essential for maintaining clarity and compatibility in data representation, especially when working with JSON. In this tutorial, we’ll explore various techniques for formatting an Instant field during serialization and parsing it back during deserialization using Jackson’s ObjectMapper. We’ll also discuss the use of @JsonFormat annotations and extending existing serializers and deserializers to achieve full control.

2. Scenario and Setup

To illustrate these techniques, we’ll set up a basic scenario with a predefined date format and DateTimeFormatter:

public interface Instants {

    ZoneOffset TIMEZONE = ZoneOffset.UTC;
    String DATE_FORMAT = "yyyy-MM-dd HH:mm:ss.SSS";
    DateTimeFormatter FORMATTER = DateTimeFormatter.ofPattern(DATE_FORMAT)
      .withZone(ZoneOffset.UTC);
}

For simplicity, we’re using UTC for our timezone. We aim to verify that when using ObjectMapper, we can serialize an Instant field into this format and deserialize it back to the original Instant. So, let’s also include the sample date we’ll use in our tests:

class InstantFormatUnitTest {

    final String DATE_TEXT = "2024-05-27 12:34:56.789";
    final Instant DATE = Instant.from(Instants.FORMATTER.parse(DATE_TEXT));

    // ...
}

Finally, the base for our tests consists of checking if our mapper can serialize an Instant field into the specified format and then deserialize it back to the expected value. We’ll do this by checking if the JSON String contains our expected date text and then if the deserialized field timeStamp matches our DATE object:

void assertSerializedInstantMatchesWhenDeserialized(TimeStampTracker object, ObjectMapper mapper) 
  throws JsonProcessingException {
    String json = mapper.writeValueAsString(object);
    assertTrue(json.contains(DATE_TEXT));

    TimeStampTracker deserialized = mapper.readValue(json, object.getClass());
    assertEquals(DATE, deserialized.getTimeStamp());
}

Since we’ll need different objects to test different approaches, let’s define a simple interface for them:

public interface TimeStampTracker {

    Instant getTimeStamp();
}

3. Full Control With a Custom JsonSerializer

Let’s start with the most standard, universal way to use a specific format to serialize non-standard fields in Jackson, extending JsonSerializer. This class is generic, and we use it to control the serialization of any field. So, let’s write one for Instant types:

public class CustomInstantSerializer extends JsonSerializer<Instant> {

    @Override
    public void serialize(Instant instant, JsonGenerator json, SerializerProvider provider) 
      throws IOException {
        // ...
    }
}

When overriding serialize(), we’re primarily interested in the JsonGenerator parameter, which we use to write the formatted instant value using our formatter:

json.writeString(Instants.FORMATTER.format(instant));

With serialization covered, let’s ensure we can deserialize objects with this specific format.

3.1. Custom JsonDeserializer

For deserialization, we’ll follow a similar route by extending JsonDeserializer:

public class CustomInstantDeserializer extends JsonDeserializer<Instant> {

    @Override
    public Instant deserialize(JsonParser json, DeserializationContext context) 
      throws IOException {
        // ...
    }
}

When overriding deserialize(), we’ll get a JSON parser instead of a generator. Let’s call json.getText(), which holds the field value, and pass it to our formatter for parsing:

return Instant.from(Instants.FORMATTER.parse(json.getText()));

3.2. Using the Custom Serializer and Deserializer

Using our custom serializer and deserializer requires the @JsonSerialize and @JsonDeserialize annotations. Let’s pass our implementations to them:

public class Event implements TimeStampTracker {

    @JsonSerialize(using = CustomInstantSerializer.class)
    @JsonDeserialize(using = CustomInstantDeserializer.class)
    private Instant timeStamp;

    // standard getters and setters
}

Let’s test it, asserting that the generated JSON contains the expected formatted date and that, when deserialized, the instant field matches our original date:

@Test
void givenDefaultMapper_whenUsingCustomSerializerDeserializer_thenExpectedInstantFormat() 
  throws JsonProcessingException {
    Event object = new Event();
    object.setTimeStamp(DATE);

    ObjectMapper mapper = new ObjectMapper();

    assertSerializedInstantMatchesWhenDeserialized(object, mapper);
}

This method is helpful if we have a few classes with Instant fields for dates or want to use a specific serialization/deserialization technique in some classes.

4. Adding the JavaTimeModule Extension

Since Instant isn’t one of the default date types supported by Jackson, we have to add the JavaTimeModule dependency to our pom.xml:

<dependency>
    <groupId>com.fasterxml.jackson.datatype</groupId>
    <artifactId>jackson-datatype-jsr310</artifactId>
    <version>1.17.1</version>
</dependency>

Without it, if we try to serialize a class that contains an Instant field, we’ll get an error:

com.fasterxml.jackson.databind.exc.InvalidDefinitionException: 
  Java 8 date/time type `java.time.Instant` not supported by default

This dependency includes the JavaTimeModule class, which we’ll use later.

4.1. Choosing a Custom Format With @JsonFormat

By default, ObjectMapper serializes date fields as numeric timestamps. When calling disable(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS), we can turn off this behavior on the JsonMapper.builder(), but it won’t let us set a specific format. This is because calling defaultDateFormat() only works for Date and long values. So, one way to use a particular format is with the @JsonFormat annotation:

public class Session implements TimeStampTracker {

    @JsonFormat(pattern = Instants.DATE_FORMAT, timezone = "UTC")
    private Instant timeStamp;

    // standard getters and setters
}

It’s also essential to set the timezone property. Since we’re using “UTC“, we’ll reuse it here, along with the date format we specified at the beginning in the pattern field.

4.2. Testing Our Solution

Let’s put it all together to test serialization and deserialization:

@Test
void givenTimeModuleMapper_whenJsonFormat_thenExpectedInstantFormat() 
  throws JsonProcessingException {
    Session object = new Session();
    object.setTimeStamp(DATE);

    ObjectMapper mapper = JsonMapper.builder()
      .addModule(new JavaTimeModule())
      .build();

    assertSerializedInstantMatchesWhenDeserialized(object, mapper);
}

Disabling WRITE_DATES_AS_TIMESTAMPS won’t matter since we’re using @JsonFormat, so we won’t deactivate it here.

5. Extending InstantSerializer With a Custom Format

Jackson bundles with serializers for most types, including the InstantSerializer, which provides a singleton we can use with the JavaTimeModule:

JavaTimeModule module = new JavaTimeModule();
module.addSerializer(Instant.class, InstantSerializer.INSTANCE);

Unfortunately, this alternative also locks us from using different formats. And, since InstantSerializer doesn’t contain public constructors, we’ll extend it:

public class GlobalInstantSerializer extends InstantSerializer {

    public GlobalInstantSerializer() {
        super(InstantSerializer.INSTANCE, false, false, Instants.FORMATTER);
    }
}

We’re using the constructor that takes the singleton as the base implementation along with a formatter. We also pass false to useTimestamp and useNanoseconds since we want a specific format for our Instant fields. And this time, we don’t need any annotations in our class:

public class History implements TimeStampTracker {

    private Instant timeStamp;

    // standard getters and setters
}

5.1. Extending InstantDeserializer With a Custom Format

Conversely, to use a specific format when deserializing, we’ll need to extend InstantDeserializer and construct it with the InstantDeserializer.INSTANT constant and our formatter:

public class GlobalInstantDeserializer extends InstantDeserializer<Instant> {

    public GlobalInstantDeserializer() {
        super(InstantDeserializer.INSTANT, Instants.FORMATTER);
    }
}

Notably, unlike the serializer, the deserializer is generic and can take any Temporal type as a return type for deserialization.

5.2. Using Our Implementations of InstantSerializer/InstantDeserializer

Finally, let’s configure the Java Time Module to use our serializer and deserializer and test it:

@Test
void givenTimeModuleMapper_whenSerializingAndDeserializing_thenExpectedInstantFormat() 
  throws JsonProcessingException {
    JavaTimeModule module = new JavaTimeModule();
    module.addSerializer(Instant.class, new GlobalInstantSerializer());
    module.addDeserializer(Instant.class, new GlobalInstantDeserializer());

    History object = new History();
    object.setTimeStamp(DATE);

    ObjectMapper mapper = JsonMapper.builder()
      .addModule(module)
      .build();

    assertSerializedInstantMatchesWhenDeserialized(object, mapper);
}

This solution is the most efficient and flexible because we don’t need to use annotations in our classes, and it works for any class with Instant fields.

6. Conclusion

In this article, we extended Jackson’s built-in serializers and deserializers and got a clear understanding of custom ones. We leveraged these techniques by including the @JsonFormat annotation and using extension modules. Ultimately, we can format Instant fields consistently and according to our specifications. This enhances the readability and compatibility of JSON data and provides flexibility and control over the representation of date and time information across different parts of our application.

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:

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Once the early-adopter seats are all used, the price will go up and stay at $33/year.

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:

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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 – 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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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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Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

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