Jackson DataFormat in Java Class Library: technical analysis of the technical principles of Smile framework

Jackson dataformat: technical analysis of the technical principle of Smile framework Jackson is a popular Java library for rapid and flexible conversion between Java objects and JSON formats.It supports a variety of data formats, one of which is Smile format.Smile is a compact and efficient binary data format that provides better performance and smaller data transmission than JSON.This article will explore the technical principles of the Smile framework in Jackson DataFormat and provide some Java code examples. 1. Introduction to the Smile framework Smile is a binary data format, which aims to provide more efficient data exchange methods than JSON.It uses a strict fixed length coding strategy, so that the data can be processed faster during serialization and desertification.Compared with JSON, the Smile format can usually reduce the data volume by about 50%. 2. Jackson DataFormat: Smile's use In order to use the Smile format, we first need to include the dependencies of the Jackson DataFormat: Smile library in the project.You can add the following dependencies to the Maven configuration file to quote the latest version of Jackson DataFormat: Smile library: <dependency> <groupId>com.fasterxml.jackson.dataformat</groupId> <artifactId>jackson-dataformat-smile</artifactId> <version>2.12.5</version> </dependency> 3. Serialization of Smile format The following is a simple Java object. We will use the Jackson library to serialize it into a Smile format: import com.fasterxml.jackson.databind.ObjectMapper; import com.fasterxml.jackson.databind.ObjectWriter; public class SmileSerializationExample { public static void main(String[] args) throws Exception { // Create an object mapping ObjectMapper mapper = new ObjectMapper(new com.fasterxml.jackson.dataformat.smile.SmileFactory()); // Create an object writer, and set the output format and target file ObjectWriter writer = mapper.writerWithDefaultPrettyPrinter(); // Create an example object Employee employee = new Employee("John Doe", 30, "Engineer"); // The serialization object is a byte array in Smile format byte[] smileBytes = writer.writeValueAsBytes(employee); // Print the serialized SMILE format data System.out.println(new String(smileBytes)); } } // Employee class class Employee { private String name; private int age; private String designation; // Construct function, Getter, and Setter method omitted ... } The above code uses an Employee object to serialize an Employee object into a Smile format byte array using the ObjectMapper of the Jackson library.When creating an ObjectMapper object, we set its parameters to SmileFactory to indicate that we want to use the Smile format.Next, we use the ObjectWriter object to write the Java object into the byte array, and sequence it to Smile format data through the `writevalueasbytes' method. 4. Catalize in Smile format Below is a sample code that sequences the Smile format data into the Java object: import com.fasterxml.jackson.databind.ObjectMapper; public class SmileDeserializationExample { public static void main(String[] args) throws Exception { // Create an object mapping ObjectMapper mapper = new ObjectMapper(new com.fasterxml.jackson.dataformat.smile.SmileFactory()); // Smile format data byte [] Smilebytes = / * Smile format data * /; // Reverse serialization Smile format data is Java object Employee employee = mapper.readValue(smileBytes, Employee.class); // Print the Java object after the printed back -sequentialization System.out.println(employee); } } // Employee class class Employee { private String name; private int age; private String designation; // Construct function, Getter, and Setter method omitted ... } In the above code, we use ObjectMapper's `Readvalue` method to sequence the byte array of the Smile format into an Employee object.By specifying the SmileFactory parameter, the ObjectMapper object will operate in the Smile format.Finally, we printed the dependent -serialized Java object. 5. Summary This article introduces the technical principles of the Smile framework in Jackson DataFormat, and provides a Java code example that uses the serialization of Smile formats and the pre -sequentialization.By using Jackson DataFormat: Smile library, we can efficiently process data format data in Java applications.By reducing the amount of transmission data and increasing the processing speed, the Smile format has become an ideal choice for processing a large amount of data exchange.