UPickle Framework Guide: Implement the serialization and derivativeization of the Java object (UPickle Framework User Guide: Serialization and Deserialization of Java Objects)

UPickle Framework Guide: Realize the serialization and derivativeization of the Java object UPickle is a powerful and easy to use SCALA JSON serialization library that helps us serialize and deeperize Java objects in SCALA.This article will introduce how to use the UPickle framework to achieve serialization and derivativeization of the Java object in SCALA.Before the beginning, we need to ensure that the relevant programming environment has been configured. 1. Add upickle dependencies First, add the dependencies of Upickle to your SCALA project construction file (such as Build.sbt or POM.XML).In build.sbt, you can add the following code: libraryDependencies += "com.lihaoyi" %% "upickle" % "1.3.15" 2. Define the Java object By using Javax.persistence annotations, a Java object is defined to serialize and derive.The following is an example Java object: import javax.persistence.*; @Entity @Table(name = "person") public class Person { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private int id; @Column(name="name") private String name; @Column(name="age") private int age; // Getters and setters omitted for brevity } 3. Realize serialization and derivativeization In the SCALA code, we can use UPickle to achieve serialization and derivatives of the Java object.The following is a simple example: scala import upickle.default._ object UPickleExample { def main(args: Array[String]): Unit = { // Create a Person object val person = new Person() person.setName("John") person.setAge(30) // Sequence Person objects to JSON string val json = write(person) // Print json string println(json) // Turn the JSON string back -sequence to Person object val deserializedPerson = read[Person](json) // Print the Person object after the printed back -sequentialization println(deserializedPerson.getName()) println(deserializedPerson.getAge()) } } In the above example, we first created a Person object, and then used the `WRITE` function to series to sequence it into a JSON string.Then we printed the serialized JSON string.Then, we used the `Read` function to turn the JSON string back -order into the Person object and print the data of the Person object after the derivative. 4. Running program Finally, we can run the SCALA code to test the serialization and dependency of the Java object.Run the sample code and the result will be output: {"name":"John","age":30} John 30 This proves that we have successfully used the UPickle framework to achieve serialization and derivatives of the Java object in SCALA. Summarize: This article introduces how to use the UPickle framework to achieve the serialization and derivativeization of the Java object.First, we added the dependencies of the Upickle framework.Then, we define a Java object that requires serialization and deeperization.Then, we use the functions provided by the UPickle framework to implement the serialization and derivative operation of the object.Finally, we run the example code and verify the correctness of implementation.Using the UPickle framework can greatly simplify the process of processing the serialization and deepening of the Java object in SCALA.