How to Efficiently Format ZonedDateTime for JSON Serialization in Spring Data JPA?

Spring Data JPA: Formatting ZonedDateTime for JSON Serialization

When working with JSON, serialization of ZonedDateTime objects can result in verbose data transfer. This article addresses formatting ZonedDateTime to mitigate excessive data transfer.

Problem Background

ZonedDateTime holds extensive information about date and time. By default, JSON serialization produces a bulky representation that includes all its components. For efficient data transfer, it's desirable to format ZonedDateTime in a concise manner, such as ISO 8601.

Solution with Jackson's JavaTimeModule

To format ZonedDateTime, we can leverage Jackson's JavaTimeModule. Add the dependency to your project's pom.xml:

<dependency>
    <groupId>com.fasterxml.jackson.datatype</groupId>
    <artifactId>jackson-datatype-jsr310</artifactId>
    <version>2.6.0</version>
</dependency>

To use the module, create an ObjectMapper and register JavaTimeModule:

ObjectMapper objectMapper = new ObjectMapper();
objectMapper.registerModule(new JavaTimeModule());

In your entity class, add the @JsonFormat annotation to the ZonedDateTime field:

@JsonFormat(shape = JsonFormat.Shape.STRING, pattern = "yyyy-MM-dd'T'HH:mm:ss.SSSZ")
private ZonedDateTime lastModifiedDate;

Sample Implementation

Below is a sample entity and its JSON representation:

public class Entity {
    private ZonedDateTime time = ZonedDateTime.now();

    @JsonFormat(shape = JsonFormat.Shape.STRING, pattern = "yyyy-MM-dd'T'HH:mm:ss.SSSZ")
    public ZonedDateTime getTime() {
        return time;
    }
}

JSON output:

{"time":"2015-07-25T23:09:01.795+0700"}

Note for Jackson 2.4.x Users

If you're using Jackson 2.4.x, you should use objectMapper.registerModule(new JSR310Module()); instead.

By implementing the above solution, you can effectively format ZonedDateTime for efficient JSON serialization, reducing unnecessary data transfer and improving performance.

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