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来源:jihite ,
www.cnblogs.com/kaituorensheng/p/9022591.html
1. 介绍Protocol Buffers
Protocal Buffers(简称protobuf)是谷歌的一项技术,用于结构化的数据序列化、反序列化,常用于RPC 系统(Remote Procedure Call Protocol System)和持续数据存储系统。
其类似于XML生成和解析,但protobuf的效率高于XML,不过protobuf生成的是字节码,可读性比XML差,类似的还有json、Java的Serializable等。
很适合做数据存储或 RPC 数据交换格式。可用于通讯协议、数据存储等领域的语言无关、平台无关、可扩展的序列化结构数据格式。
2. Idea 安装protobuf插件
安装插件protobuf Support,之后重启
3. 配置依赖
pom.xml添加
<dependencies>
<dependency>
<groupId>com.google.protobuf</groupId>
<artifactId>protobuf-java</artifactId>
<version>3.4.0</version>
</dependency>
</dependencies>
<build>
<extensions>
<extension>
<groupId>kr.motd.maven</groupId>
<artifactId>os-maven-plugin</artifactId>
<version>1.4.1.Final</version>
</extension>
</extensions>
<plugins>
<plugin>
<groupId>org.xolstice.maven.plugins</groupId>
<artifactId>protobuf-maven-plugin</artifactId>
<version>0.5.0</version>
<configuration>
<protocArtifact>
com.google.protobuf:protoc:3.1.0:exe:${os.detected.classifier}
</protocArtifact>
<pluginId>grpc-java</pluginId>
</configuration>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>compile-custom</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
4. 书写proto文件
syntax = "proto3";
option java_package = "com.jihite";
option java_outer_classname = "PersonModel";
message Person {
int32 id = 1;
string name = 2;
string email = 3;
}
5. 转化成Java文件
6. 测试
把生成的类考的代码路径下,用下面测试用例测试
package com.jihite;
import com.google.protobuf.InvalidProtocolBufferException;
import org.junit.Test;
public class protobufTest {
@Test
public void testN() throws InvalidProtocolBufferException {
PersonModel.Person.Builder builder = PersonModel.Person.newBuilder();
builder.setId(1);
builder.setName("jihite");
builder.setEmail("jihite@jihite.com");
PersonModel.Person person = builder.build();
System.out.println("before:" + person);
System.out.println("===Person Byte:");
for (byte b : person.toByteArray()) {
System.out.print(b);
}
System.out.println("================");
byte[] byteArray = person.toByteArray();
PersonModel.Person p2 = PersonModel.Person.parseFrom(byteArray);
System.out.println("after id:" + p2.getId());
System.out.println("after name:" + p2.getName());
System.out.println("after email:" + p2.getEmail());
}
}
结果
before:id: 1
name: "jihite"
email: "jihite@jihite.com"
===Person Byte:
811861061051041051161012617106105104105116101641061051041051161014699111109================
after id:1
after name:jihite
after email:jihite@jihite.com
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