从Spark数据帧的行创建对象的规范方法是什么？

import org.apache.spark.sql.Row;
import org.apache.spark.sql.RowFactory;
import org.apache.spark.sql.types.DataTypes;
import org.apache.spark.sql.types.StructField;
import org.apache.spark.sql.types.StructType;

public class CreateRowExample {
    public static void main(String[] args) {
        // 定义数据帧的模式
        StructType schema = DataTypes.createStructType(new StructField[]{
                DataTypes.createStructField("name", DataTypes.StringType, true),
                DataTypes.createStructField("age", DataTypes.IntegerType, true),
                DataTypes.createStructField("city", DataTypes.StringType, true)
        });

        // 创建行对象
        Row row = RowFactory.create("John Doe", 30, "New York");

        // 打印行对象的值
        System.out.println(row.getString(0));  // 输出：John Doe
        System.out.println(row.getInt(1));     // 输出：30
        System.out.println(row.getString(2));  // 输出：New York
    }
}