Jackson DataFormat: Application of Smile framework technical principles in the Java library
Jackson DataFormat: Application of Smile framework technical principles in the Java library
introduction:
With the development of the Internet, data transmission and storage have become an important demand.In order to improve the efficiency of data transmission and save storage space, compression and optimization data have become a common solution.In Java development, the SMILE framework technology in the Jackson DataFormat library provides a binary -based optimized data serialization and anti -sequentialization solution.This article will introduce the principles of Smile framework technology and provide example code for its application in the Java class library.
1. Smile framework technology introduction
The Smile framework is a module in the Jackson DataFormat library, which provides a high -performance data serialization and device -based scheme based on the binary format.Smile uses a specific compression algorithm and encoding method, which can convert data to binary more efficiently than the JSON format, thereby providing faster data transmission speed and smaller storage space occupation.
2. Smile framework technical principle
The principle of the Smile framework is to achieve efficient data serialization and derivativeization through two key technologies, that is, compression and coding.
-The compression technology:
Smile uses a technology called "Shared String Dictionary" technology to reduce the repetitiveness of the string, thereby achieving the purpose of compression data.This technology shares the same string in the entire data sequence, stores only one copy, and uses pointers to quote them.This method can reduce the storage space occupation of duplicate string and improve the efficiency of data transmission and storage.
-Coding technology:
SMILE uses a binary encoding method to convert data into compact, cross -platform binary formats.By using a long encoding, SMILE can adjust the length of the encoding according to the actual content of the data to reduce the storage space occupied.
3. The application of SMILE framework technology in the Java library
In the Java library, the use of the SMILE framework for data serialization and dependentization is very simple.The following is an example code that shows how to use the Smile framework to serialize and derives the data of data in Java:
import com.fasterxml.jackson.dataformat.smile.SmileFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
public class SmileExample {
public static void main(String[] args) throws Exception {
// Create a SmileFactory example
SmileFactory smileFactory = new SmileFactory();
// Create an ObjectMapper instance for data serialization and counter -serialization
ObjectMapper objectMapper = new ObjectMapper(smileFactory);
// Create a Java object
Person Person = New Person ("Zhang San", 25);
// The sequence of Java objects into a byte array in Smile format
byte[] smileData = objectMapper.writeValueAsBytes(person);
// Sequence the adaptation of the byte array in the Smile format into the Java object
Person deserializedPerson = objectMapper.readValue(smileData, Person.class);
// Print the Java object after the printed back -sequentialization
System.out.println(deserializedPerson);
}
public static class Person {
private String name;
private int age;
public Person() {}
public Person(String name, int age) {
this.name = name;
this.age = age;
}
// omit the getter and setter method
@Override
public String toString() {
return "Person [name=" + name + ", age=" + age + "]";
}
}
}
The above example code shows how to use the Smile framework in the Jackson DataFormat library for data serialization and derivativeization operations.By creating SmileFactory and ObjectMapper instances, we can easily convert Java objects into byte arrays in Smile format, and discern Java objects from the byte array.
in conclusion:
The Smile framework technology in the Jackson DataFormat library provides an efficient binary -based data serialization and derivativeization solution.By using compression and coding technology, SMILE can significantly improve data transmission speed and storage space utilization.In Java development, through simple code calls, we can easily use the SMILE framework for data serialization and derivative operation to improve the performance and efficiency of the application.
