In -depth understanding
Jackson DataFormat: The Smile framework is an important component in the Java class library. It uses a binary data format similar to JSON.This article will explore the technical principles of Jackson DataFormat: Smile framework and provide some Java code examples.
1. Introduction
Jackson is a Java class library for handling the JSON data format. It provides flexible and powerful functions that can be serialized and degraded between Java objects and JSON.Smile (Simple Binary Encoding for Json) is a Jackson extension module. It uses a binary data format that is more compact and more efficient than the JSON format.
2. Smile's technical principles
1. Compression
Smile uses a compressed algorithm to reduce the size of the packet.Compared with the JSON format, the amount of data in the SMILE format can greatly reduce the amount of data transmission and improve transmission efficiency.
2. Binary encoding
Smile encodes JSON data into bytes, not string.It uses a simple and efficient way to encode the data in the Java object.Smile serializes the structure information and data of the Java object together to support the more efficient processization process.
3. More efficient serialization and counter -serialization
The SMILE framework provides more efficient serialization and dependentization capabilities by using more compact binary data formats.Compared with the JSON format, Smile can convert the Java object into byte flow faster, and convert the byte running flow back to the Java object.
4. Mutuality
The data in the Smile format can be transformed with the data of the JSON format, so that the data can be transmitted and shared between different systems.Since Smile is implemented as an extension module of Jackson, it can be seamlessly integrated with other functions and tools of Jackson, so that developers can be more convenient to use and expand.
3. Java code example
The following is a Java code example using Jackson DataFormat: Smile framework for serialization and dependentization:
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.dataformat.smile.SmileFactory;
public class SmileExample {
public static void main(String[] args) throws Exception {
// Create a SmileFactory example
SmileFactory factory = new SmileFactory();
// Create an ObjectMapper instance and set it with SmileFactory
ObjectMapper mapper = new ObjectMapper(factory);
// Convert Java objects to byte array in Smile format
MyObject myObject = new MyObject("Hello", "World");
byte[] smileBytes = mapper.writeValueAsBytes(myObject);
// Convert the byte array in Smile format to Java object
MyObject deserializedObject = mapper.readValue(smileBytes, MyObject.class);
// Output the java object after the output
System.out.println(deserializedObject);
}
// Define the Java object of an example
static class MyObject {
private String field1;
private String field2;
public MyObject() {
}
public MyObject(String field1, String field2) {
this.field1 = field1;
this.field2 = field2;
}
// Getter and Setter method omitted
@Override
public String toString() {
return "MyObject{" +
"field1='" + field1 + '\'' +
", field2='" + field2 + '\'' +
'}';
}
}
}
The above code examples use the Jackson DataFormat: Smile framework for serialization and back -sequence operation.First create a SmileFactory instance and use it to create an ObjectMapper instance.Then convert a custom Java object to the byte array of Smile format, and turn the byte array back to the Java object.The final output of the Java object after the output.
Summarize:
This article conducts in -depth discussions on the technical principles of Jackson DataFormat in the Java library: Smile framework, and provide a simple Java code example.By understanding the characteristics of the SMILE framework, binary coding, more efficient serialization and dependentization, developers can better understand and use the framework, thereby improving the performance and efficiency of Java applications.
