How to use the Jackson DataFormat: Smile framework in the Java library for data retrograde serialization
Use Jackson DataFormat: Smile framework for data derivative
introduction:
In Java development, the serialization and dependency of data are common operations.Jackson is a powerful Java library that provides many functions to process the serialization and derivativeization of JSON data.Among them, Jackson DataFormat: Smile is a module of Jackson for processing data in Smile format.This article will introduce how to use the Jackson DataFormat: Smile framework in the Java library for data retrograde serialization.
1. Add dependencies
First, Jackson DataFormat: Smile dependencies need to be added to the Maven or Gradle project.Add the following code to the pom.xml file:
<dependency>
<groupId>com.fasterxml.jackson.dataformat</groupId>
<artifactId>jackson-dataformat-smile</artifactId>
<version>2.13.0</version>
</dependency>
Or add the following code to the build.gradle file:
gradle
implementation 'com.fasterxml.jackson.dataformat:jackson-dataformat-smile:2.13.0'
2. Create a pojo class
Before the data is carried out, the corresponding POJO class needs to be created in order to correctly map the data to the Java object.For example, assuming that there is a Person class containing names and age:
public class Person {
private String name;
private int age;
// Getter and Setter methods
// Empty constructor
public Person() {}
public Person(String name, int age) {
this.name = name;
this.age = age;
}
}
3. Perform data derivatives
Next, you can use the Jackson DataFormat: Smile framework for data retrograde.The following is a simple example:
import com.fasterxml.jackson.dataformat.smile.SmileMapper;
import java.io.IOException;
public class DeserializationExample {
public static void main(String[] args) {
// Enter the Smile format data
byte[] smileData = new byte[] {85, 115, 101, 114, 49, 5, 80, 101, 114, 115, 111, 110, 0};
// Create SmileMapper
SmileMapper smileMapper = new SmileMapper();
try {
// Reverse serialization Smile data to PERSON object
Person person = smileMapper.readValue(smileData, Person.class);
// Output Capitalization results
System.out.println("Name: " + person.getName() + ", Age: " + person.getAge());
} catch (IOException e) {
e.printStackTrace();
}
}
}
In the above example, first create a byte array of byte array containing the Smile format data `SmileData.Then, by creating the `SmileMapper` instance, use the` Readvalue` method to sequence the Smile data to the Person object.Finally, the name and age of the Person object output.
in conclusion:
This article introduces how to use the Jackson DataFormat: Smile framework in the Java library for data retrograde.By adding dependencies, creating a POJO class, and using SmileMapper for counter -serialization, you can easily convert data format data into Java objects.I hope this article will help you understand the use of Jackson DataFormat: Smile.
