For detail
Jackson DataFormat: Smile is a framework in the Java class library that is used to process data in Smile format.This article will introduce the technical principles of Jackson DataFormat: Smile, and provide some Java code examples.
Smile is a binary -based data serialization format that is implemented by Jackson DataFormat: Smile in Java.Compared with the traditional JSON format, SILE uses a dual coding method similar to binary JSON to reduce the amount of data and transmission overhead.
In the technical principles of Jackson DataFormat: Smile, the following aspects mainly include:
1. Compression coding: Smile uses compression codes to reduce the volume of data.It optimizes the value of the value by using variable coding and symbolic integrated coding, and represents common data types as smaller byte sequences.
2. Symbol table: Smile uses the symbol table to further reduce the size of the data.The symbol table is mapping the string as the index number, and the index number is represented during serialization.This method can reduce the repeated storage of string and improve the compression ratio of data.
3. Binary indicates that SMILE shows data as binary and can be processed more efficiently when data transmission and storage.Compared with the traditional JSON format, Smile can reduce data transmission overhead and storage space.
Below is a sample code for using Jackson DataFormat: Smile serialization and back -sequence data:
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.dataformat.smile.SmileFactory;
import java.io.IOException;
public class JacksonSmileExample {
public static void main(String[] args) {
SomeObject obj = new SomeObject("example", 123);
// The byte array of sequences to Smile format
byte[] serialized = serializeToSmile(obj);
System.out.println("Serialized: " + new String(serialized));
// Reverse sequences to object
SomeObject deserialized = deserializeFromSmile(serialized);
System.out.println("Deserialized: " + deserialized);
}
public static byte[] serializeToSmile(SomeObject obj) {
ObjectMapper mapper = new ObjectMapper(new SmileFactory());
try {
return mapper.writeValueAsBytes(obj);
} catch (JsonProcessingException e) {
e.printStackTrace();
}
return null;
}
public static SomeObject deserializeFromSmile(byte[] serialized) {
ObjectMapper mapper = new ObjectMapper(new SmileFactory());
try {
return mapper.readValue(serialized, SomeObject.class);
} catch (IOException e) {
e.printStackTrace();
}
return null;
}
}
class SomeObject {
private String name;
private int value;
public SomeObject() {
// Ported constructor
}
public SomeObject(String name, int value) {
this.name = name;
this.value = value;
}
// Getters and Setters are omitted
}
In the above sample code, we first define an SomeObject class, which contains a string attribute and an integer attribute.Then, we use the Jackson DataFormat: Smile to serialize the SomeObject object to the byte array of the SMEOBJECT object to the Smile format, and then sequence the byte array to the SomeObject object, and print the result.
By using Jackson DataFormat: Smile, we can efficiently process data in SMILE format and reduce data transmission and storage overhead.At the same time, using SMILE can maintain compatibility with the traditional JSON format, making the serialization and back -sequentialization process more flexible and convenient.
