Hessian序列化详解

简单示例

com.spy.test.hessian.User

public class User implements Serializable {
    private Long    userId;
    private String  userCode;
    private String  userName;
    private String  email;
    private Integer age;

    private List<String> roles;
}

List<String> roles = Arrays.asList("admin");

user = User.builder()
           .userId(1L)
           .userCode("0001")
           .userName("cc")
           .age(20)
           .roles(roles)
           .build();

输出的码流

[67, 25, 99, 111, 109, 46, 115, 112, 121, 46, 116, 101, 115, 116, 46, 104, 101, 115, 115, 105, 97, 110, 46, 85, 115, 101, 114, -106, 6, 117, 115, 101, 114, 73, 100, 8, 117, 115, 101, 114, 67, 111, 100, 101, 8, 117, 115, 101, 114, 78, 97, 109, 101, 5, 101, 109, 97, 105, 108, 3, 97, 103, 101, 5, 114, 111, 108, 101, 115, 96, -31, 4, 48, 48, 48, 49, 2, 99, 99, 78, -92, 113, 26, 106, 97, 118, 97, 46, 117, 116, 105, 108, 46, 65, 114, 114, 97, 121, 115, 36, 65, 114, 114, 97, 121, 76, 105, 115, 116, 5, 97, 100, 109, 105, 110]

现在对码流进行分析，其实也是对hessian序列化的分析

67：C ，代表class

25, 全类类名长度 
99, 111, 109,  com
46, 
115, 112, 121, spy
46, 
116, 101, 115, 116, test 
46, 
104, 101, 115, 115, 105, 97, 110,：hessian 
46, 
85, 115, 101, 114：User

-106, 类中字段个数（6个字段+144）

6, 
117, 115, 101, 114, 73, 100,  字段名称 userId
8, 
117, 115, 101, 114, 67, 111, 100, 101, userCode
8, 
117, 115, 101, 114, 78, 97, 109, 101, userName
5, 
101, 109, 97, 105, 108,  email
3, 
97, 103, 101, age
5, 
114, 111, 108, 101, 115, roles 
96, （96+0）0是引用次数


-31, 1
4, 48, 48, 48, 49, 
2, 99, 99, 
78 , N email字段为null
-92, age=20
113, （112+1） list大小 java.util.Arrays$ArrayList
26, list type大小（即java.util.Arrays$ArrayList的长度）
106, 97, 118, 97, 46, 117, 116, 105, 108, 46, 65, 114, 114, 97, 121, 115, 36, 65, 114, 114, 97, 121, 76, 105, 115, 116, （即java.util.Arrays$ArrayList）
5, 
97, 100, 109, 105, 110（admin）

更多的协议规范可以参考hessian2规范