Skip to main content

How to parse JSON with date field in Java - Jackson @JsonDeserialize Annotation Example

How to Parse JSON with Date Field in Java - Jackson `@JsonDeserialize` Annotation Example

Parsing JSON in Java is a common task, but dealing with date fields requires a little extra attention. JSON treats everything as a string, but Java has strong typing, meaning dates need to be handled differently.

In this post, we will see how to parse a JSON with a date field using Jackson, focusing on the `@JsonDeserialize` annotation.

Example Scenario

Let’s assume we have a simple JSON that includes a date field:

```

{

  "name": "John Doe",

  "birthDate": "2024-09-05"

}

```


In Java, we might want to map this to a class with a `LocalDate` for `birthDate`. This is where Jackson's `@JsonDeserialize` annotation comes into play.

Step-by-Step Example

Step 1: Add Jackson Dependency

First, make sure you have the Jackson dependency in your `pom.xml` if you’re using Maven:

```

<dependency>

    <groupId>com.fasterxml.jackson.core</groupId>

    <artifactId>jackson-databind</artifactId>

    <version>2.13.0</version>

</dependency>

```

Step 2: Create the POJO

Let’s create a class `Person` that maps to the JSON structure:

```

import com.fasterxml.jackson.annotation.JsonFormat;

import com.fasterxml.jackson.databind.annotation.JsonDeserialize;

import java.time.LocalDate;

public class Person {

    private String name;

    @JsonDeserialize(using = LocalDateDeserializer.class)

    @JsonFormat(pattern = "yyyy-MM-dd")  // This defines the format in which date is expected

    private LocalDate birthDate;

    // Getters and Setters

    public String getName() {

        return name;

    }

    public void setName(String name) {

        this.name = name;

    }

    public LocalDate getBirthDate() {

        return birthDate;

    }

    public void setBirthDate(LocalDate birthDate) {

        this.birthDate = birthDate;

    }

}

```

Step 3: Create a Custom Deserializer

We need to create a custom deserializer for `LocalDate`. Jackson will use this to convert the date string into a `LocalDate` object.

```
import com.fasterxml.jackson.core.JsonParser;

import com.fasterxml.jackson.core.JsonProcessingException;

import com.fasterxml.jackson.databind.DeserializationContext;

import com.fasterxml.jackson.databind.JsonDeserializer;

import java.io.IOException;

import java.time.LocalDate;

import java.time.format.DateTimeFormatter;

public class LocalDateDeserializer extends JsonDeserializer<LocalDate> {

    @Override

    public LocalDate deserialize(JsonParser jsonParser, DeserializationContext deserializationContext)

            throws IOException, JsonProcessingException {

        String date = jsonParser.getText();

        DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd");

        return LocalDate.parse(date, formatter);

    }

}

```

Step 4: Parse the JSON


Finally, you can use Jackson to parse the JSON into your `Person` object:

```
import com.fasterxml.jackson.databind.ObjectMapper;

public class JsonParserExample {

    public static void main(String[] args) {

        String json = "{ \"name\": \"John Doe\", \"birthDate\": \"2024-09-05\" }";

                ObjectMapper objectMapper = new ObjectMapper();

                try {

            Person person = objectMapper.readValue(json, Person.class);

            System.out.println("Name: " + person.getName());

            System.out.println("Birth Date: " + person.getBirthDate());

        } catch (Exception e) {

            e.printStackTrace();

        }

    }

}

```
Output:

```

Name: John Doe

Birth Date: 2024-09-05

```

Summary


In this example, we used Jackson’s `@JsonDeserialize` to handle the date field. This technique is especially useful when dealing with date formats in JSON that need to be mapped to Java’s `LocalDate` or `Date` objects.

By using a custom deserializer and `@JsonFormat`, you can easily control how dates are handled and parsed in your Java application.


Comments

Popular posts from this blog

Java RoadMap

 

IPL 2025: The Ultimate Season Preview, Stats, and Predictions

 The Indian Premier League (IPL) 2025 is set to be bigger and better than ever. With a mega auction, new regulations, and rising superstars, this season is shaping up to be the most thrilling edition in IPL history. Let’s dive deep into team analyses, key player stats, historic milestones, and predictions to see what IPL 2025 has in store! IPL 2025 at a Glance Start Date: March 22, 2025 Final Match Venue: Eden Gardens, Kolkata Total Matches: 74 Teams: 10 New Rule: Introduction of 'Power Boost Over' (Allows a team to add an extra over to Powerplay if all wickets are intact by the 8th over) --- Interesting IPL 2025 Data & Records 1. The ₹100 Crore Auction - Highest Spending in IPL History Total Money Spent: ₹1050 crore (~$125 million) Most Expensive Player: Rishabh Pant (Lucknow Super Giants) - ₹27 crore Shreyas Iyer (Punjab Kings) - ₹26.75 crore Trent Boult (Delhi Capitals) - ₹18.5 crore 2. The ‘Orange Cap’ Race - Run-Scoring Machines Predicting the top contenders for the hi...

Mastering Java Streams: Best Practices and Common Pitfalls

  Introduction Java Streams, introduced in Java 8, have revolutionized the way developers handle collections and data processing in Java. However, mastering Streams requires understanding not just the syntax but also the best practices and common pitfalls that can arise. In this post, we'll explore advanced tips for working with Java Streams, helping you write more efficient, readable, and maintainable code. Table of Contents Introduction to Java Streams Best Practices for Using Streams Leverage Parallel Streams Wisely Avoid State Mutations in Stream Operations Use Method References for Cleaner Code Short-Circuiting Operations for Efficiency Common Pitfalls in Java Streams Overusing Parallel Streams Modifying Collections During Stream Operations Ignoring Lazy Evaluation Improper Use of Optional with Streams Advanced Stream Operations Grouping and Partitioning Collectors and Custom Collectors FlatMap for Complex Mappings Conclusion 1. Introduction to Java Streams Java Streams provid...