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. 微信小程序显示html格式内容(wxParse使用及循环解析数据渲染)

    小程序默认是不支持html格式的内容显示的,那我们需要显示html内容的时候,就可以通过wxParse来实现. 首先我们下载wxParse,github地址:https://github.com/ic ...

  2. 以快板之名说Android 应用程序电源管理

    当里个当,当里个当.Android开发UE(用户体验)为导向,首要任务便是省电量. 当里个当,当里个当.有一设备立足于墙边,这个设备唤固定电话.你的app造成这样,用户很快把你弃墙角.你咆哮耗电奈何与 ...

  3. windows10-64位安装OpenSSL详细教程(转载)

    相关软件下载地址: 1.ActivePerl 5.26.1:https://www.activestate.com/activeperl/downloads 2.openssl-1.1.0g:http ...

  4. 大数据开发实战:Stream SQL实时开发三

    4.聚合操作 4.1.group by 操作 group by操作是实际业务场景(如实时报表.实时大屏等)中使用最为频繁的操作.通常实时聚合的主要源头数据流不会包含丰富的上下文信息,而是经常需要实时关 ...

  5. ES8新特性——ES8 was Released and here are its Main New Features

    原文: https://hackernoon.com/es8-was-released-and-here-are-its-main-new-features-ee9c394adf66 -------- ...

  6. hadoop hue切换中文版

    搭建了Hue之后发现只有英文的界面,非常不开心,于是百度谷歌了一大堆也没有发现可靠的办法,就自己上手了一把,亲测可行. 英文版: 中文版: hue切换使用中文版的方法如下: 1.修改配置文件 vi / ...

  7. js递归遍历key

    需求:根据Json对象,查找到某key所有值 var obj = { first: "1", second: { name: "abc", mykey: &qu ...

  8. python绘制很美丽的图表

    或许你会觉得python不适合做图形界面的开发,的确如此.可是python却有一个非常美丽的图标模块:pycha,废话少说,先上图,各位看一下. 是不是效果还不错呢,当然这仅仅是一小部分图表,还有其它 ...

  9. JavaScript 从闭包可以做什么开始,将有助于理解闭包

    本文内容 函数内部访问全局变量 函数外部不能直接访问局部变量 函数外部访问局部变量 保护私有成员 持久性 模块化 抽象性 闭包是 JavaScript 的重要特性,非常强大,可用于执行复杂的计算,可并 ...

  10. 轻松python文本专题-字符与字符值转换

    场景: 将字符转换成ascii或者unicode编码 在转换过程中,注意使用ord和chr方法 >>> print(ord('a')) 97 >>> print(c ...