Jackson DataFormat: The technical principles of the Smile framework in the Java library detailed explanation

Jackson is a very popular Java class library for serialization and deeperization operations between Java objects and JSON.It provides a variety of data formats, including SMILE. The Smile framework is an extension of Jackson, which is used to store and transmit data in the binary format.It aims to provide more efficient coding and decoding speed than JSON, while minimizing the size of the data as much as possible.SMILE has achieved high performance and high efficiency by optimizing the storage and transmission of byte array. Smile's technical principles can be explained from two aspects: encoding and decoding. Code part: When the Java object is required to sequence to the Smile format, Jackson uses a method called Smile.It first converts the Java object into internal objects, which represents the SMILE data structure in memory.These objects will be encoded into byte array.Smile coding is based on binary, which can process a variety of data types such as string, numbers, Boolean values, NULL values and complex data structures. SMILE coding uses some optimization strategies to save storage space and increase coding speed.It uses a long encoding to represent numbers, which means that small numbers use less bytes for coding, and large numbers use more bytes for coding.In addition, Smile also uses the mark format to distinguish different data types and use specific byte sequences to represent these types. Decoding part: When SMILE data is needed to decode the Java object, Jackson uses the Smile decoder to perform this process.The decoder first converts the Smile byte array to internal objects, and then these internal objects are converted to Java objects. The decoder read the byte array based on the rules encoded by Smile and converts it into the corresponding data type.It follows the same label format as the encoder to determine what type of data read and decodes accordingly.The decoding process restores the byte array as the Java object. Below is a simple Java code example, demonstrating how to use Smile in Jackson for the serialization and counter -serialization of the object: 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 SmileFactory SmileFactory smileFactory = new SmileFactory(); // Create ObjectMapper and configure using SmileFactory ObjectMapper objectMapper = new ObjectMapper(smileFactory); // Create a serialized Java object MyObject myObject = new MyObject("Hello", 123); // Sequence the java object to SMILE byte array byte[] smileBytes = objectMapper.writeValueAsBytes(myObject); // Catalize the Smile byte array to the Java object MyObject deserializedObject = objectMapper.readValue(smileBytes, MyObject.class); System.out.println("Original object: " + myObject); System.out.println("Deserialized object: " + deserializedObject); } } class MyObject { private String name; private int age; // The constructor and Getter/Setter omit @Override public String toString() { return "MyObject [name=" + name + ", age=" + age + "]"; } } In this example, we first created a SmileFactory object and passed it to ObjectMapper.Then, we created a Java object MyObject that needs to be serialized, and uses ObjectMapper to serialize it into the Smile byte array.Finally, we use the same ObjectMapper to sequence the byte array to the Java object and print the result. This is the detailed explanation of Jackson DataFormat: Smile framework in the Java library.By using SMILE, we can get higher performance and smaller data size during serialization and desertification.Hope this article will help you!