【Protobuf专题】(四)proto开发神器——Jprotobuf

0 前言

在JAVA团队内部交互数据时,有几种常用的方法,比如JAVA原生序列化方法、Json序列化方法、Protobuf序列化方法等,对比实验详见:几种序列化方式的性能比较

从对比实验可知protobuf性能最佳,因为其高效的序列化性能以及优秀的跨平台能力,被广泛应用于跨平台之间的数据交互。但在不需要考虑跨平台的数据交互时,protobuf的繁琐流程成了烦人的“污点”。

基于ptoro传输数据的一般流程是,先编写proto文件,再手动编译proto文件生成java类,然后实例化java类并填充数据,最后编译成二进制数据进行传输。其中编写及手动编译proto文件是个较繁琐的过程(比如复杂项目中proto之间的相互引用),而且由proto生成的java类使用的是创建者模式(即Bulider模式),其实例化后的赋值过程与项目历史代码风格不一致,为带来较大的改动。

为解决这个问题,本文将介绍百度团队开发的Jprotobuf工具,并总结使用过程中的注意事项,以及通过实验验证其与谷歌团队开发的Protobuf功能的一致性。

1 Jprotobuf介绍

1.1 定义

jprotobuf是针对JAVA程序开发一套简易类库,目的是简化JAVA语言对protobuf类库的使用。使用jprotobuf可以无需再去了解proto文件操作与语法,直接使用JAVA注解定义字段类型即可。

github地址: https://github.com/jhunters/j...

1.2 原理

jprotobuf工作原理如下:

  1. 扫描类上的注解的信息,进行分析(与protobuf读取proto文件进行分析过程相似)
  2. 根据注解分析的结果,动态生成java代码进行protobuf序列化与反序列化的功能实现
  3. 使用JDK6及以上的 code compile API进行编译后加载到classloader

1.3 性能

jprotobuf 主要性能消耗在扫描类上注解,动态生成代码编译的过程。在执行序列化与反序列化的过程中,几乎与protobuf生成的代码效率等同。如果使用预编译插件,则无需在运行中进行代码生成与编译,效率更高。

1.4 特点

  1. 无需编写proto文件及繁琐的手工编译过程,支持基于POJO对象的注解方式,方便快捷。
    支持protobuf所有类型,包括对象嵌套,数组,枚举类型
  2. 提供根据proto文件,动态生成代理对象,可省去POJO对象的编写工作。
    完整支持proto文件所有功能,包括内联对象,匿名对象,枚举类型
  3. 提供从POJO对象的注解方式自动生成proto文件的功能, 方便proto描述文件的管理与维护
  4. 提供预编译Maven插件,进一步提升运行性能
  5. 新增预编译gradle插件
  6. 2.x版本。 支持TimeStamp类型, 与原生protobuf保持一致。 支持Date类型,使用long类型传递 docs

2 Jprotobuf安装

maven代码如下:



    com.baidu
    jprotobuf
    2.4.5


    com.baidu
    jprotobuf-precompile-plugin
    2.2.2

3 案例数据

测试思路:通过各自的方法构建相同的测试数据,进行序列化和反序列比较两者之间的差异。
注意事项:设计的案例数据尽量包含所有的数据类型。

3.1 Protobuf数据定义

组织结构如图,其中data依赖student,student依赖person,teacher作为第三方扩展包,用于测试扩展功能。
【Protobuf专题】(四)proto开发神器——Jprotobuf_第1张图片

data.proto代码如下:

// Google Protocol Buffers Version 3.
syntax = "proto3";
// Package name.
package prcticeProto.messages;
// Options for code generation.
option java_package = "learnProto.practiceTest.protoModel";
option java_outer_classname = "SchoolModel";
option java_multiple_files = true;
// import packages
import "google/protobuf/any.proto";
import "practiceProto/categories/student.proto";
message School {
  message Location{
    string name=1;
    uint32 id=2;
  }
  Location schoolLocation = 1;
  bool isOpen =2;
  repeated categories.Student allStudents = 3;
  google.protobuf.Any extend =4;
}

student.proto代码如下:

// Google Protocol Buffers Version 3.
syntax = "proto3";
// Package name.
package prcticeProto.categories;
// Options for code generation.
option java_package = "learnProto.practiceTest.protoModel";
option java_outer_classname = "StudentModel";
option java_multiple_files = true;
// import packages
import "practiceProto/base/person.proto";
message Student {
  base.Person baseInfo = 1;
  fixed32 calssId = 2;
  sint32 score = 3;
}

person.proto代码如下:

// Google Protocol Buffers Version 3.
syntax = "proto3";
// Package name.
package prcticeProto.base;
// Options for code generation.
option java_package = "learnProto.practiceTest.protoModel";
option java_outer_classname = "PersonModel";
option java_multiple_files = true;
message Person{
  message Location{
    string placeName=1;
    uint64 placeId=2;
  }
  enum Gender{
    man=0;
    woman=1;
  }
  string name = 1;
  int32 age=2;
  Gender gender=3;
  float height=4;
  double weight=5;
  Location location=6;
}

teacher.proto代码如下:

// Google Protocol Buffers Version 3.
syntax = "proto3";
// Options for code generation.
option java_package = "learnProto.practiceTest.protoModel";
option java_outer_classname = "TeacherModel";
option java_multiple_files = true;
message Teacher{
  string name = 1;
  int32 age=2;
}

3.2 Jprotobuf数据定义

组织结构如图所示。
【Protobuf专题】(四)proto开发神器——Jprotobuf_第2张图片

Jprotobuf的定义语法详见: https://github.com/jhunters/j...

school代码如下:

package learnProto.jprotobuf.model;
import com.baidu.bjf.remoting.protobuf.Any;
import com.baidu.bjf.remoting.protobuf.FieldType;
import com.baidu.bjf.remoting.protobuf.annotation.Protobuf;
import com.baidu.bjf.remoting.protobuf.annotation.ProtobufClass;
import java.util.List;

@ProtobufClass
public class School {
 @ProtobufClass
 public static class Location{
        @Protobuf(fieldType= FieldType.STRING, order=1)
        private String name;
        @Protobuf(fieldType= FieldType.UINT32, order=2)
        private Integer id;
        public String getName() {
            return name;
        }
        public Location setName(String name) {
            this.name = name;
            return this;
        }
        public Integer getId() {
            return id;
        }
        public Location setId(Integer id) {
            this.id = id;
            return this;
        }
    }
    @Protobuf(fieldType= FieldType.OBJECT, order=1)
    private Location schoolLocation;
    @Protobuf(fieldType= FieldType.BOOL, order=2)
    private Boolean isOpen;
    @Protobuf(fieldType= FieldType.OBJECT, order=3)
    private List allStudents;
    @Protobuf(fieldType = FieldType.OBJECT,order = 4)
    private Any extend;
    public Any getExtend() {
        return extend;
    }
    public School setExtend(Any extend) {
        this.extend = extend;
        return this;
    }
    public Location getSchoolLocation() {
        return schoolLocation;
    }
    public School setSchoolLocation(Location schoolLocation) {
        this.schoolLocation = schoolLocation;
        return this;
    }
    public Boolean getOpen() {
        return isOpen;
    }
    public School setOpen(Boolean open) {
        isOpen = open;
        return this;
    }
    public List getAllStudents() {
        return allStudents;
    }
    public School setAllStudents(List allStudents) {
        this.allStudents = allStudents;
        return this;
    }
}

student代码如下:

package learnProto.jprotobuf.model;
import com.baidu.bjf.remoting.protobuf.FieldType;
import com.baidu.bjf.remoting.protobuf.annotation.Protobuf;
import com.baidu.bjf.remoting.protobuf.annotation.ProtobufClass;

@ProtobufClass
public class Student{
    @Protobuf(fieldType=FieldType.OBJECT, order=1)
    private Person baseInfo;
    @Protobuf(fieldType=FieldType.FIXED32, order=2)
    private Integer calssId;
    @Protobuf(fieldType=FieldType.SINT32, order=3)
    private Integer score;
    public Person getBaseInfo() {
        return baseInfo;
    }
    public Student setBaseInfo(Person baseInfo) {
        this.baseInfo = baseInfo;
        return this;
    }
    public Integer getCalssId() {
        return calssId;
    }
    public Student setCalssId(Integer calssId) {
        this.calssId = calssId;
        return this;
    }
    public Integer getScore() {
        return score;
    }
    public Student setScore(Integer score) {
        this.score = score;
        return this;
    }
}

person代码如下:

package learnProto.jprotobuf.model;
import com.baidu.bjf.remoting.protobuf.FieldType;
import com.baidu.bjf.remoting.protobuf.annotation.Protobuf;
import com.baidu.bjf.remoting.protobuf.annotation.ProtobufClass;

@ProtobufClass
public class Person {
    @ProtobufClass
 public enum Gender {
        MAN(0),WOMAN(1);
        @Protobuf(fieldType= FieldType.INT32, order=1)
        private final Integer value;
        Gender(Integer value) { this.value = value; }
        public Integer toValue() { return this.value; }
        public Integer value() {
            return toValue();
        }
    }
 @ProtobufClass
 public static class Location{
        @Protobuf(fieldType= FieldType.STRING, order=1)
        private String placeName;
        @Protobuf(fieldType= FieldType.UINT64, order=2)
        private Long placeId;
        public String getPlaceName() {
            return placeName;
        }
        public Location setPlaceName(String placeName) {
            this.placeName = placeName;
            return this;
        }
        public Long getPlaceId() {
            return placeId;
        }
        public Location setPlaceId(Long placeId) {
            this.placeId = placeId;
            return this;
        }
    }
    @Protobuf(fieldType= FieldType.STRING, order=1)
    private String name;
    @Protobuf(fieldType= FieldType.INT32, order=2)
    private Integer age;
    @Protobuf(fieldType= FieldType.ENUM, order=3)
    private Gender gender;
    @Protobuf(fieldType= FieldType.FLOAT, order=4)
    private Float height;
    @Protobuf(fieldType= FieldType.DOUBLE, order=5)
    private Double weight;
    @Protobuf(fieldType= FieldType.OBJECT, order=6)
    private Location personLocation;
    public String getName() {
        return name;
    }
    public Person setName(String name) {
        this.name = name;
        return this;
    }
    public Integer getAge() {
        return age;
    }
    public Person setAge(Integer age) {
        this.age = age;
        return this;
    }
    public Gender getGender() {
        return gender;
    }
    public Person setGender(Gender gender) {
        this.gender = gender;
        return this;
    }
    public Float getHeight() {
        return height;
    }
    public Person setHeight(Float height) {
        this.height = height;
        return this;
    }
    public Double getWeight() {
        return weight;
    }
    public Person setWeight(Double weight) {
        this.weight = weight;
        return this;
    }
    public Location getPersonLocation() {
        return personLocation;
    }
    public Person setPersonLocation(Location personLocation) {
        this.personLocation = personLocation;
        return this;
    }
}

teacher代码如下:

package learnProto.jprotobuf.model;
import com.baidu.bjf.remoting.protobuf.annotation.ProtobufClass;

@ProtobufClass
public class Teacher {
    private Integer id;
    private String name;
    public Integer getId() {
        return id;
    }
    public Teacher setId(Integer id) {
        this.id = id;
        return this;
    }
    public String getName() {
        return name;
    }
    public Teacher setName(String name) {
        this.name = name;
        return this;
    }
}

4 案例测试

4.1 基本数据类型测试

public class jprotobufTest {
    public static void writeFileByte(byte[] b,String path) {
        File file = new File(path);
        long size = file.length();
        try (FileOutputStream fos = new FileOutputStream(file)) {
            fos.write(b);
            fos.flush();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    public static byte[] readFileByte(String path) {
        File file = new File(path);
        long size = file.length();
        byte[] b = new byte[(int) size];
        try (InputStream fis = new FileInputStream(file)) {
            if (fis.read(b) < 0) {
                return null;
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
        return b;
    }
    public void protobuff(String path){
        // 实例化
 learnProto.practiceTest.protoModel.Person.Builder builderPerson = learnProto.practiceTest.protoModel.Person.newBuilder().setAge(10).setGender(learnProto.practiceTest.protoModel.Person.Gender.woman).setName("Tom").setHeight(100.00f).setWeight(100.00d).setLocation(
                learnProto.practiceTest.protoModel.Person.Location.newBuilder().setPlaceId(123l).setPlaceName("hubei")
        );
        learnProto.practiceTest.protoModel.School school = learnProto.practiceTest.protoModel.School.newBuilder()
                .setIsOpen(true)
                .setSchoolLocation(learnProto.practiceTest.protoModel.School.Location.newBuilder().setId(123).setName("hubei"))
                .addAllStudents(Student.newBuilder().setBaseInfo(builderPerson).setCalssId(10).setScore(-1))
                .addAllStudents(Student.newBuilder().setBaseInfo(builderPerson).setCalssId(10).setScore(1))
                .build();
        try {
            // 序列化
 byte[] bytes = school.toByteArray();
            writeFileByte(bytes,path);
            System.out.println("protobuf序列化后的数据:" + Arrays.toString(bytes)+",字节个数:"+bytes.length);
            //反序列化
 byte[] bytes1 = readFileByte(path);
            learnProto.practiceTest.protoModel.School parseFrom = learnProto.practiceTest.protoModel.School.parseFrom(bytes1);
        } catch (InvalidProtocolBufferException e) {
            e.printStackTrace();
        }
    }
    public void jprotobuf(String path){
        // 实例化
 Person person = new Person().setAge(10).setGender(Person.Gender.MAN).setName("Tom").setHeight(100.00f).setWeight(100.00d).setPersonLocation(
                new Person.Location().setPlaceId(123l).setPlaceName("hubei")
        );
        ArrayList studentArrayList = new ArrayList<>();
        studentArrayList.add(new learnProto.jprotobuf.model.Student().setCalssId(10).setScore(-1).setBaseInfo(person));
        studentArrayList.add(new learnProto.jprotobuf.model.Student().setCalssId(10).setScore(1).setBaseInfo(person));
        School sch = new School().setOpen(true).setAllStudents(studentArrayList).setSchoolLocation(new School.Location().setId(123).setName("hubei"));
        try {
            // 序列化
 Codec simpleTypeCodec = ProtobufProxy.create(School.class);
            byte[] b = simpleTypeCodec.encode(sch);
            writeFileByte(b,path);
            System.out.println("Jprotobuf序列化后的数据:" + Arrays.toString(b)+",字节个数:"+b.length);
            // 反序列化
 byte[] bytes =readFileByte(path);
            School newStt = simpleTypeCodec.decode(bytes);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    @Test
 public void test(){
        protobuff("C:UsersadminDesktopProtodemo.pack");
        jprotobuf("C:UsersadminDesktopJprotodemo.pack");
    }
}

运行结果:

protobuf序列化后的数据:[10, 9, 10, 5, 104, 117, 98, 101, 105, 16, 123, 16, 1, 26, 43, 10, 34, 10, 3, 84, 111, 109, 16, 10, 24, 1, 37, 0, 0, -56, 66, 41, 0, 0, 0, 0, 0, 0, 89, 64, 50, 9, 10, 5, 104, 117, 98, 101, 105, 16, 123, 21, 10, 0, 0, 0, 24, 1, 26, 43, 10, 34, 10, 3, 84, 111, 109, 16, 10, 24, 1, 37, 0, 0, -56, 66, 41, 0, 0, 0, 0, 0, 0, 89, 64, 50, 9, 10, 5, 104, 117, 98, 101, 105, 16, 123, 21, 10, 0, 0, 0, 24, 2],字节个数:103
Jprotobuf序列化后的数据:[10, 9, 10, 5, 104, 117, 98, 101, 105, 16, 123, 16, 1, 26, 43, 10, 34, 10, 3, 84, 111, 109, 16, 10, 24, 0, 37, 0, 0, -56, 66, 41, 0, 0, 0, 0, 0, 0, 89, 64, 50, 9, 10, 5, 104, 117, 98, 101, 105, 16, 123, 21, 10, 0, 0, 0, 24, 1, 26, 43, 10, 34, 10, 3, 84, 111, 109, 16, 10, 24, 0, 37, 0, 0, -56, 66, 41, 0, 0, 0, 0, 0, 0, 89, 64, 50, 9, 10, 5, 104, 117, 98, 101, 105, 16, 123, 21, 10, 0, 0, 0, 24, 2],字节个数:103

实验表明,Jprotobuf的序列化方法与Protobuf一致,可以放心使用。

4.2 第三方扩展测试

@Test
public void schooltest() throws IOException {
    // jproto
 Any any = Any.pack(new Teacher());
    School person = new School().setExtend(any);
    Codec simpleTypeCodec = ProtobufProxy.create(School.class);
    try {
        // 序列化
 byte[] b = simpleTypeCodec.encode(person);
        writeFileByte(b,"C:UsersadminDesktopjproto.pack");
        System.out.println("jproto序列化后的数据:" + Arrays.toString(b)+",字节个数:"+b.length);
        // 反序列化
 byte[] bytes =readFileByte("C:UsersadminDesktopjproto.pack");
        School newStt = simpleTypeCodec.decode(bytes);
    } catch (IOException e) {
        e.printStackTrace();
    }
    // proto
 com.google.protobuf.Any any1 = com.google.protobuf.Any.pack(learnProto.practiceTest.protoModel.Teacher.newBuilder().build());
    learnProto.practiceTest.protoModel.School builderPerson = learnProto.practiceTest.protoModel.School.newBuilder()
            .setExtend(any1)
            .build();
    try {
        // 序列化
 String path="C:UsersadminDesktopProtodemo.pack";
        byte[] bytes = builderPerson.toByteArray();
        writeFileByte(bytes,path);
        System.out.println("protobuf序列化后的数据:" + Arrays.toString(bytes)+",字节个数:"+bytes.length);
        //反序列化
 byte[] bytes1 = readFileByte(path);
        learnProto.practiceTest.protoModel.School parseFrom = learnProto.practiceTest.protoModel.School.parseFrom(bytes1);
    } catch (InvalidProtocolBufferException e) {
        e.printStackTrace();
    }
}

运行结果:

jproto序列化后的数据:[34, 58, 10, 54, 116, 121, 112, 101, 46, 103, 111, 111, 103, 108, 101, 97, 112, 105, 115, 46, 99, 111, 109, 47, 108, 101, 97, 114, 110, 80, 114, 111, 116, 111, 46, 106, 112, 114, 111, 116, 111, 98, 117, 102, 46, 109, 111, 100, 101, 108, 46, 84, 101, 97, 99, 104, 101, 114, 18, 0],字节个数:60
protobuf序列化后的数据:[34, 29, 10, 27, 116, 121, 112, 101, 46, 103, 111, 111, 103, 108, 101, 97, 112, 105, 115, 46, 99, 111, 109, 47, 84, 101, 97, 99, 104, 101, 114],字节个数:31

实验表明,Jprotobuf的扩展功能可以正常使用,但其机制可能与protobuf有差异。

5 使用总结

1、字段的注解@Protobuf,可以不写,不写的情况下按照默认类型,order按照书写的顺序;也可以写,自定义类型和order。但一定不要有的字段写,有的字段不写,order会乱!

2、 构建的@ProtobufClass不要带有有参构造器,实例化时也不能带参数构造。只能无参构造后,通过set或add赋值(与proto的实例化规范一致)。

3、 可以调用_getIDL_获得IDL,即proto文件,但所有的嵌套结构都被拆开成了单独的结构。

【Protobuf专题】(四)proto开发神器——Jprotobuf_第3张图片

4、 setter的返回类型可以设定为类本身,从而实现链式。如图:

【Protobuf专题】(四)proto开发神器——Jprotobuf_第4张图片

5、 定义基本数据类型的数据时,要用包装类。比如对于整型,不要写int,而应该写INTGER,如上图中的id,如果设置为int,系统默认初始化了id=0,即使没有赋值,该数值在序列化时会被写入数据;如果设置为INTGER,没有赋值,不会被写入序列化的字节序中。(此处与proto不同,proto中字段设定值等于默认值时,序列化时数据不会被写入,反序列化后所有没被赋值的字段都被赋对应类型的默认值;而jprotobuf完全按照用户输入的意愿,序列化之前赋值什么,序列化时就有什么,反序列化时也对应有什么,如果字段没被赋值,反序列化后为null,enum为第一个枚举值)。

6、反序列化使用时注意:没被赋值的字段反序列化后值为null,并非默认值。

7、设定了多个字段,有些没有赋值,并不会影响数据序列化后的大小。

6 参考文献

[1] 几种序列化方式的性能比较
[2] https://github.com/jhunters/j...
[3] https://github.com/jhunters/j...

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