google protobuf ios开发使用

  

简介:

protobuf 即 google protocol buffer 是一种数据封装格式协议;

比如其他经常用的xml,json等格式;protobuf的优势是效率高,同样的一份数据使用protobuf存储的时候更小,更加方便;

官网:

https://developers.google.com/protocol-buffers/

https://github.com/google/protobuf

 

在iOS上的使用

目前最新的版本需要xcode7.0+,以及不支持ARC

1. 从github上面下载全部代码

2. 在mac上编译protobuf 可能还需要 autoconf,libtool,automake,

   请先在mac上安装这三个依赖库;使用brew安装就行

  brew install autoconf

      brew install libtool

     brew install automake

    automake的安装可能会连接到被墙的网站,这时从网上找一份谷歌host即可;

3. 解压下载的 protobuf-master, 并打开终端入  /protobuf-master/objectivec/DevTools/ 目录

   执行 sudo sh full_mac_build.sh

   等待编译完成,如果遇到错误可能是上面3个依赖或是别的依赖没有安装,排查一下就好

   

4. 安装完成之后,即会在 protobuf-master/src/ 目录下生成 protoc 可执行程序

   以后我们需要用该生成把 .proto文件生成对应平台的代码;

   

5. 如下安装protobuf定义的proto3语法生成一份测试用的数据格式,Person.proto文件

   

syntax = "proto3";

message Person {
  string name = 1;
  int32 age = 2;
  string address = 3;

}

6. 使用 protoc 将 .proto文件 生成对应平台的代码;这里生成oc的代码

  如下protoc命令的帮助

Parse PROTO_FILES and generate output based on the options given:
  -IPATH, --proto_path=PATH   Specify the directory in which to search for
                              imports.  May be specified multiple times;
                              directories will be searched in order.  If not
                              given, the current working directory is used.
  --version                   Show version info and exit.
  -h, --help                  Show this text and exit.
  --encode=MESSAGE_TYPE       Read a text-format message of the given type
                              from standard input and write it in binary
                              to standard output.  The message type must
                              be defined in PROTO_FILES or their imports.
  --decode=MESSAGE_TYPE       Read a binary message of the given type from
                              standard input and write it in text format
                              to standard output.  The message type must
                              be defined in PROTO_FILES or their imports.
  --decode_raw                Read an arbitrary protocol message from
                              standard input and write the raw tag/value
                              pairs in text format to standard output.  No
                              PROTO_FILES should be given when using this
                              flag.
  -oFILE,                     Writes a FileDescriptorSet (a protocol buffer,
    --descriptor_set_out=FILE defined in descriptor.proto) containing all of
                              the input files to FILE.
  --include_imports           When using --descriptor_set_out, also include
                              all dependencies of the input files in the
                              set, so that the set is self-contained.
  --include_source_info       When using --descriptor_set_out, do not strip
                              SourceCodeInfo from the FileDescriptorProto.
                              This results in vastly larger descriptors that
                              include information about the original
                              location of each decl in the source file as
                              well as surrounding comments.
  --dependency_out=FILE       Write a dependency output file in the format
                              expected by make. This writes the transitive
                              set of input file paths to FILE
  --error_format=FORMAT       Set the format in which to print errors.
                              FORMAT may be 'gcc' (the default) or 'msvs'
                              (Microsoft Visual Studio format).
  --print_free_field_numbers  Print the free field numbers of the messages
                              defined in the given proto files. Groups share
                              the same field number space with the parent 
                              message. Extension ranges are counted as 
                              occupied fields numbers.

  --plugin=EXECUTABLE         Specifies a plugin executable to use.
                              Normally, protoc searches the PATH for
                              plugins, but you may specify additional
                              executables not in the path using this flag.
                              Additionally, EXECUTABLE may be of the form
                              NAME=PATH, in which case the given plugin name
                              is mapped to the given executable even if
                              the executable's own name differs.
  --cpp_out=OUT_DIR           Generate C++ header and source.
  --csharp_out=OUT_DIR        Generate C# source file.
  --java_out=OUT_DIR          Generate Java source file.
  --javanano_out=OUT_DIR      Generate Java Nano source file.
  --js_out=OUT_DIR            Generate JavaScript source.
  --objc_out=OUT_DIR          Generate Objective C header and source.
  --php_out=OUT_DIR           Generate PHP source file.
  --python_out=OUT_DIR        Generate Python source file.
  --ruby_out=OUT_DIR          Generate Ruby source file.
View Code

  生成OC代码格式命令

   D/protoc --proto_path=A --objc_out=B C/Person.proto

   D: 表示 protoc 可执行程序的目录

   A:表示处理proto文件需要的目录,和生成目录一样就行

   B:表示生成代码的文件,oc会成生.h和.m 这里就是指生成文件需要放的目录

   C:表示需要的.proto文件,即protoc会根据此文件里面定义的格式生成相应平台代码文件

 

 生成之后的oc,.h 和 .m 就可以放到xcode工程里面使用了,不支持ARC,ARC的工程对此.m添加 -fno-objc-arc

7.  这里使用xcode7.3创建了DEMO工程,GPBDemo,并设置工程为 mrc

   

   把第6步生成的Person.pbobjc.h,Person.pbobjc.m 导入工程

   把 protobuf-master/objectivec/ 目录下面所有的 .h 和.m 手动导入工程,把该目录下的google文件也会部导入工程

   在工程设置 header search path 添加 $(PROJECT_DIR)/GBPDemo , 不然导入上面的google文件夹之后编译会出头文件连接错误;

   把GPBProtocolBuffers.m 从工程里面删除掉(这里是官网说的https://github.com/google/protobuf/tree/master/objectivec)

   导入之后的工程结构如下

  

   以上配置完成之后,编译就正常通过了

   8. 测试使用protobuf

     在工程ViewController.m 里面导入

    #import "GPBProtocolBuffers.h"
    #import "Person.pbobjc.h"

     如下代码 

     

    Person *pe = [[Person alloc]init];
    pe.name = @"jobs";
    pe.age = 86;
    pe.address = @"Beijing";
    
    //以下是效率对比
    //protocbufer
    NSLog(@"protocbufer: %@",pe);
    NSLog(@"%lu",[pe data].length);
    
    
    //json
    NSDictionary *pj = @{@"name":@"jobs",
                           @"age":@86,
                           @"address":@"Beijing"};
    NSData *jsd = [NSJSONSerialization dataWithJSONObject:pj options:0 error:nil];
    NSLog(@"JSON: %@",pj);
    NSLog(@"%lu", jsd.length);
    
    
    //xml
    NSString *xml = @"<name>jobs</name><age>86</age><address>Beijing</address>";
    NSData *xmlData = [xml dataUsingEncoding:NSUTF8StringEncoding];
    NSLog(@"XML: %@",xml);
    NSLog(@"%lu",xmlData.length);
    
    [pe release];

  执行结果:

   

 从上可以看出:

  同样的数据:

   protubuf:占17个字节

   json: 44个字节

   xml:56个字节

 

以上就是效率上的测试使用

9. 总结

   数据按照protobuf封装可以通过网络传给后台,后台同样使用protobuf处理;

   会非常的方便的高效;后台定义一份proto数据格式,然后生成其他平台的代码,集成调用非常的方便,也偏于维护和扩展;

  更新关于protobuf的数据格式,组合语法可以参考官方文档说明

 

10:上述的 iOS 示例工程

      https://github.com/cocoajin/TDDDemo/tree/master/GBPDemo

   protobuf静态类库方式 demo https://github.com/cocoajin/TDDDemo/tree/master/PGBlibT

 

参考:

https://github.com/google/protobuf

http://www.ibm.com/developerworks/cn/linux/l-cn-gpb/

https://my.oschina.net/kgdugyiy/blog/538333 

posted @ 2016-11-25 11:10  cocoajin  阅读(5958)  评论(0编辑  收藏  举报