转自:http://www.saily.top/2017/07/23/netty5/

gRPC

Define your service using Protocol Buffers, a powerful binary serialization toolset and language

gRPC是基于Protobuf开发的RPC框架,简化了protobuf的开发,提供了服务端和客户端网络交互这一块的代码。

Demo

照着https://grpc.io/docs/quickstart/java.html测试一下官方的Demo。

记得要把Update a gRPC service部分做了。

gRPC整合Gradle与代码生成

https://github.com/grpc/grpc-java
这个是gRPC-java项目,先引入gRPC的依赖。

1
2
3
compile 'io.grpc:grpc-netty:1.4.0'
compile 'io.grpc:grpc-protobuf:1.4.0'
compile 'io.grpc:grpc-stub:1.4.0'

然后配置gradle的grpc插件

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
apply plugin: 'java'
apply plugin: 'com.google.protobuf' buildscript {
repositories {
mavenCentral()
}
dependencies {
// ASSUMES GRADLE 2.12 OR HIGHER. Use plugin version 0.7.5 with earlier
// gradle versions
classpath 'com.google.protobuf:protobuf-gradle-plugin:0.8.1'
}
} protobuf {
protoc {
artifact = "com.google.protobuf:protoc:3.2.0"
}
plugins {
grpc {
artifact = 'io.grpc:protoc-gen-grpc-java:1.4.0'
}
}
generateProtoTasks {
all()*.plugins {
grpc {}
}
}
}

后面直接用gradle的任务就可以生成代码了。

gRPC提供了3种传输层的实现

  • gRPC comes with three Transport implementations:

    1. The Netty-based transport is the main transport implementation based on Netty. It is for both the client and the server.
    2. The OkHttp-based transport is a lightweight transport based on OkHttp. It is mainly for use on Android and is for client only.
    3. The inProcess transport is for when a server is in the same process as the client. It is useful for testing.

https://github.com/google/protobuf-gradle-plugin

The Gradle plugin that compiles Protocol Buffer (aka. Protobuf) definition files (*.proto) in your project. There are two pieces of its job:

  1. It assembles the Protobuf Compiler (protoc) command line and use it to generate Java source files out of your proto files.
  2. It adds the generated Java source files to the input of the corresponding Java compilation unit (sourceSet in a Java project; variant in an Android project), so that they can be compiled along with your Java sources.

实战

配置好后,进行一个演示

src/main/proto新建一个文件Student.proto

gradle插件默认从src/main/proto找proto源文件进行代码生成,这里有提到,而且这个路径的配置是可以修改的。

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
syntax = "proto3";

package com.sail.proto;

option java_package = "com.sail.proto";
option java_outer_classname = "StudentProto";
option java_multiple_files = true; service StudentService {
rpc GetRealNameByUsername(MyRequest) returns (MyResponse) {} rpc GetStudentsByAge(StudentRequest) returns (stream StudentResponse) {} rpc GetStudentsWrapperByAges(stream StudentRequest) returns (StudentResponseList) {} rpc BiTalk(stream StreamRequest) returns (stream StreamResponse) {}
} message MyRequest {
string username = 1;
} message MyResponse {
string realname = 2;
} message StudentRequest {
int32 age = 1;
} message StudentResponse {
string name = 1;
int32 age = 2;
string city = 3;
} message StudentResponseList {
repeated StudentResponse studentResponse = 1;
} message StreamRequest {
string request_info = 1;
} message StreamResponse {
string response_info = 1;
}

然后执行gradle generateProto,生成的代码默认是放在/build目录下,我们手动拷贝到src/main/java

实现代码

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
package com.sail.grpc;

import com.sail.proto.*;
import io.grpc.stub.StreamObserver; import java.util.UUID; /**
* @author yangfan
* @date 2017/08/01
*/
public class StudentServiceImpl extends StudentServiceGrpc.StudentServiceImplBase { @Override
public void getRealNameByUsername(MyRequest request, StreamObserver<MyResponse> responseObserver) {
System.out.println("接收到客户端信息: " + request.getUsername());
responseObserver.onNext(MyResponse.newBuilder().setRealname("张三").build());
responseObserver.onCompleted();
} /**
* 接收StudentRequest参数
* 返回stream的StudentResponse
*/
@Override
public void getStudentsByAge(StudentRequest request, StreamObserver<StudentResponse> responseObserver) {
System.out.println("接收到客户端信息:" + request.getAge()); responseObserver.onNext(StudentResponse.newBuilder().setName("张三").setAge(20).setCity("北京").build());
responseObserver.onNext(StudentResponse.newBuilder().setName("李四").setAge(30).setCity("天津").build());
responseObserver.onNext(StudentResponse.newBuilder().setName("王五").setAge(40).setCity("成都").build());
responseObserver.onNext(StudentResponse.newBuilder().setName("赵六").setAge(50).setCity("深圳").build()); responseObserver.onCompleted();
} /**
* 接收stream的StudentRequest参数
* 返回StudentResponseList
*/
@Override
public StreamObserver<StudentRequest> getStudentsWrapperByAges(StreamObserver<StudentResponseList> responseObserver) {
return new StreamObserver<StudentRequest>() { @Override
public void onNext(StudentRequest value) {
System.out.println("onNext: " + value.getAge());
} @Override
public void onError(Throwable t) {
System.out.println(t.getMessage());
} @Override
public void onCompleted() {
StudentResponse studentResponse = StudentResponse.newBuilder().setName("张三").setAge(20).setCity("西安").build();
StudentResponse studentResponse2 = StudentResponse.newBuilder().setName("李四").setAge(30).setCity("成都").build(); StudentResponseList studentResponseList = StudentResponseList.newBuilder()
.addStudentResponse(studentResponse).addStudentResponse(studentResponse2).build(); responseObserver.onNext(studentResponseList);
responseObserver.onCompleted();
}
};
} /**
* 双向流式数据传递
*/
@Override
public StreamObserver<StreamRequest> biTalk(StreamObserver<StreamResponse> responseObserver) {
return new StreamObserver<StreamRequest>() {
@Override
public void onNext(StreamRequest value) {
System.out.println(value.getRequestInfo()); responseObserver.onNext(StreamResponse.newBuilder().setResponseInfo(UUID.randomUUID().toString()).build());
} @Override
public void onError(Throwable t) {
System.out.println(t.getMessage());
} @Override
public void onCompleted() {
responseObserver.onCompleted();
}
};
}
}

服务器端

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
package com.sail.grpc;

import io.grpc.Server;
import io.grpc.ServerBuilder; import java.io.IOException; /**
* @author yangfan
* @date 2017/08/01
*/
public class GrpcServer { private Server server; private void start() throws IOException {
this.server = ServerBuilder.forPort(8899).addService(new StudentServiceImpl()).build().start();
System.out.println("server started!"); // 这里在关闭JVM的时候会执行JVM回调钩子
Runtime.getRuntime().addShutdownHook(new Thread(() -> {
System.out.println("关闭jvm");
GrpcServer.this.stop();
})); System.out.println("执行到这里");
} private void stop() {
if (server != null) {
this.server.shutdown();
}
} private void awaitTermination() throws InterruptedException {
if (server != null) {
this.server.awaitTermination();
}
} public static void main(String[] args) throws InterruptedException, IOException { GrpcServer grpcServer = new GrpcServer();
grpcServer.start();
grpcServer.awaitTermination(); }
}

客户端

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
package com.sail.grpc;

import com.sail.proto.*;
import io.grpc.ManagedChannel;
import io.grpc.ManagedChannelBuilder;
import io.grpc.stub.StreamObserver; import java.time.LocalDateTime;
import java.util.Iterator; /**
* @author yangfan
* @date 2017/08/01
*/
public class GrpcClient {
public static void main(String[] args) {
ManagedChannel managedChannel = ManagedChannelBuilder.forAddress("localhost", 8899)
.usePlaintext(true).build(); StudentServiceGrpc.StudentServiceBlockingStub blockingStub = StudentServiceGrpc.newBlockingStub(managedChannel);
StudentServiceGrpc.StudentServiceStub stub = StudentServiceGrpc.newStub(managedChannel);
MyResponse myResponse = blockingStub.getRealNameByUsername(MyRequest.newBuilder().setUsername("zhangsan").build()); System.out.println(myResponse.getRealname()); System.out.println("----------------"); Iterator<StudentResponse> iter = blockingStub.getStudentsByAge(StudentRequest.newBuilder().setAge(20).build()); while (iter.hasNext()) {
StudentResponse studentResponse = iter.next(); System.out.println(studentResponse.getName() + ", " + studentResponse.getAge() + ", " + studentResponse.getCity()); } System.out.println("----------------"); // getStudentsWrapperByAges的调用代码 StreamObserver<StudentResponseList> studentResponseListStreamObserver = new StreamObserver<StudentResponseList>() {
@Override
public void onNext(StudentResponseList value) {
value.getStudentResponseList().forEach(studentResponse -> {
System.out.println(studentResponse.getName() + ", " + studentResponse.getAge() + ", " + studentResponse.getCity());
System.out.println("*******");
});
} @Override
public void onError(Throwable t) {
System.out.println(t.getMessage());
} @Override
public void onCompleted() {
System.out.println("completed!");
}
}; // 只要客户端是以流式发送请求,那么一定是异步的
StreamObserver<StudentRequest> studentRequestStreamObserver = stub.getStudentsWrapperByAges(studentResponseListStreamObserver);
// 发送多条数据
studentRequestStreamObserver.onNext(StudentRequest.newBuilder().setAge(20).build());
studentRequestStreamObserver.onNext(StudentRequest.newBuilder().setAge(30).build());
studentRequestStreamObserver.onNext(StudentRequest.newBuilder().setAge(40).build());
studentRequestStreamObserver.onNext(StudentRequest.newBuilder().setAge(50).build());
studentRequestStreamObserver.onCompleted(); // 以上代码是没有输出结果的,因为stub是异步的,所以当执行完onCompleted的时候程序就已经结束了,还没有来得及发送请求
// 现在加入以下代码,让程序多运行一会
try {
Thread.sleep(50000);
} catch (InterruptedException e) {
e.printStackTrace();
} // 双向数据流的调用 StreamObserver<StreamRequest> requestStreamObserver = stub.biTalk(new StreamObserver<StreamResponse>() {
@Override
public void onNext(StreamResponse value) {
System.out.println(value.getResponseInfo());
} @Override
public void onError(Throwable t) {
System.out.println(t.getMessage());
} @Override
public void onCompleted() {
System.out.println("onCompleted!");
}
}); for (int i = 0; i < 10; i++) {
requestStreamObserver.onNext(StreamRequest.newBuilder().setRequestInfo(LocalDateTime.now().toString()).build());
try {
Thread.sleep(1000);
} catch (InterruptedException e) {
e.printStackTrace();
} }
} }

Netty-gRPC介绍和使用的更多相关文章

  1. Netty简单介绍(非原创)

    文章大纲 一.Netty基础介绍二.Netty代码实战三.项目源码下载四.参考文章   一.Netty基础介绍 1. 简介 官方定义为:”Netty 是一款异步的事件驱动的网络应用程序框架,支持快速地 ...

  2. NETTY 编码器介绍

    1. 背景 1.1. 编解码技术 通常我们也习惯将编码(Encode)称为序列化(serialization),它将对象序列化为字节数组,用于网络传输.数据持久化或者其它用途. 反之,解码(Decod ...

  3. 【Netty】Netty核心组件介绍

    一.前言 前篇博文体验了Netty的第一个示例,下面接着学习Netty的组件和其设计. 二.核心组件 2.1. Channel.EventLoop和ChannelFuture Netty中的核心组件包 ...

  4. grpc介绍

    grpc入门(一) 一.什么是grpc grpc是谷歌开源的一款高性能的rpc框架 (https://grpc.io),可以使用protocol buffers作为IDL(Interface Defi ...

  5. Netty:Netty的介绍以及它的核心组件(一)—— Channel

    1. Netty 介绍 Netty 是一个无阻塞的输入/输出(NIO)框架,它使开发低级网络服务器和客户端变得相对简单.Netty为需要在套接字级别上工作的开发人员提供了令人难以置信的强大功能,例如, ...

  6. Netty组件介绍(转)

    http://www.tuicool.com/articles/mEJvYb 为了更好的理解和进一步深入Netty,我们先总体认识一下Netty用到的组件及它们在整个Netty架构中是怎么协调工作的. ...

  7. [置顶] Netty学习总结(1)——Netty入门介绍

    1.Netty是什么? Netty是一个基于JAVA NIO类库的异步通信框架,它的架构特点是:异步非阻塞.基于事件驱动.高性能.高可靠性和高可定制性. 2.使用Netty能够做什么? 开发异步.非阻 ...

  8. go gRPC介绍, demo

    参考文章: 1. https://www.cnblogs.com/kaixinyufeng/p/9651513.html 2. http://jia-shun.cn/2018/08/12/gRPC/ ...

  9. Netty核心组件介绍及手写简易版Tomcat

    Netty是什么: 异步事件驱动框架,用于快速开发高i性能服务端和客户端 封装了JDK底层BIO和NIO模型,提供高度可用的API 自带编码解码器解决拆包粘包问题,用户只用关心业务逻辑 精心设计的Re ...

  10. Netty:Netty的介绍以及它的核心组件(三)—— 事件和ChannelHandler

    Netty 使用异步事件驱动(Asynchronous Event-Driven)的应用程序范式,因此数据处理的管道(ChannelPipeLine)是经过处理程序(ChannelHandler)的事 ...

随机推荐

  1. [PowerShell Utils] Automatically Change DNS and then Join Domain

    I would like to start a series of blog posts sharing PowerShell scripts to speed up our solution ope ...

  2. Qt5.3.1 静态编译的configure

    今天最终自己静态编译过了QT5.3.1, 成功用在项目上了, 记录下configure指令.  configure -confirm-license -opensource -platform win ...

  3. Android -- com.android.providers.media,external.db

    external.db android是管理多媒体文件(音频.视频.图片)的信息是在/data/data/com.android.providers.media下的数据库文件external.db. ...

  4. Logistic Regression--逻辑回归算法汇总**

    http://www.cnblogs.com/biyeymyhjob/archive/2012/07/18/2595410.html 转自别处 有很多与此类似的文章  也不知道谁是原创 因原文由少于错 ...

  5. List 转 ObservableCollection

    ObservableCollection<UserInfo> oc = new ObservableCollection<UserInfo>(); ls.ForEach(x = ...

  6. Python编译exe

    有几种办法,选择py2exe,从pip安装,还不行,下载看起来都比较老,还是在csdn上下载了一个64位版本for2.7的 http://download.csdn.net/download/henu ...

  7. $(...).modal is not a function

    bootstrap中调用$(...).modal 方法 提示一个错误 is not a function 检查HTML结构发现,是因为使用了多个Jquery版本,产生了冲突. 解决办法:删掉一个Jqu ...

  8. [Docker] Linking Node.js and MongoDB Containers

    To do communcation between containers, we need to do link between containers. 1. Run a container wit ...

  9. Wifidog初分析

    一.综述 wifidog是搭建无线热点认证系统的解决方案之一,他比nocat.nodog更适合互联网营销思路.常见的使用在openwrt系统上,它实现了路由器和认证服务器的数据交互,在路由器方(客户端 ...

  10. brew install Jenkins

    Chens-MacBook-Pro:Downloads chenqing$ brew install jenkins ==> Downloading http://mirrors.jenkins ...