koalas-RPC高可用可拓展的RPC框架

联合创作 · 2023-09-23 12:19

企业生产级百亿日PV高可用可拓展的RPC框架。理论上并发数量接近服务器带宽,客户端采用thrift协议,服务端支持netty和thrift的TThreadedSelectorServer半同步半异步线程模型,支持动态扩容,服务上下线,权重动态,可用性配置,泛化调用,页面流量统计,泛化调用等,支持trace跟踪等,天然接入cat支持数据大盘展示等

1:为什么要写这个RPC

市面上常见的RPC框架很多,grpc,motan,dubbo等,但是随着越来越多的元素加入,复杂的架构设计等因素似使得这些框架和spring一样,虽然号称是轻量级,但是用起来却是让我们很蹩脚,大量的配置,繁杂的API设计,其实,我们根本用不上这些东西!!! 我也算得上是在很多个互联网企业厮杀过,见过很多很多的内部RPC框架,有些优秀的设计让我非常赞赏,有一天我突然想着,为什么不对这些设计原型进行聚合归类,自己搞一套【轻量级】RPC框架呢,碍于工作原因,一直没有时间倒腾出空,十一期间工作闲暇,说搞就搞吧,落地不易,很多细节性问题,比如tcp中怎么解决大量的wait-time,如何做到thrift和netty的兼容等等大量细节的优化,希望源码对大家对认识RPC框架起到推进的作用。东西越写越多,有各种问题欢迎随时拍砖

2:为什么叫koalas

树袋熊英文翻译,希望考拉RPC给那些不太喜欢动手自己去造轮子的人提供可靠的RPC使用环境

3:技术栈

  •  thrift 0.8.0
  •  spring-core-4.2.5,spring-context-4.2.5,spring-beans-4.2.5
  •  log4j,slf4j
  •  org.apache.commons(v2.0+)
  •  io.netty4
  •  fastJson
  •  zookeeper
  •  点评cat(V3.0.0+ 做数据大盘统计上报等使用,可不配置)
  •  AOP,反射代理等

4:关于技术选型

  1. 序列化篇 考察了很多个序列化组件,其中包括jdk原生,kryo、hessian、protoStuff,thrift,json等,最终选择了Thrift,原因如下 原生JDK序列化反序列化效率堪忧,其序列化内容太过全面kryo和hessian,json相对来说比原生JDK强一些,但是对跨语言支持一般,所以舍弃了,最终想在protoBuf和Thrift协议里面选择一套框架,这俩框架很相通,支持跨语言,需要静态编译等等。但是protoBuf不带RPC服务,本着提供多套服务端模式(thrift rpc,netty)的情况下,最终选择了Thrift协议。
  2. IO线程模型篇 原生socket可以模拟出简单的RPC框架,但是对于大规模并发,要求吞吐量的系统来说,也就算得上是一个demo级别的,所以BIO肯定是不考虑了,NIO的模型在序列化技术选型的时候已经说了,Thrift本身支持很多个io线程模型,同步,异步,半同步异步等(SimpleServer,TNonblockingServer,THsHaServer,TThreadedSelectorServer,TThreadPoolServer),其中吞吐量最高的肯定是半同步半异步的IO模TThreadedSelectorServer了,具体原因大家可自行google,这次不做多的阐述,选择好了模型之后,发现thrift简直就是神器一样的存在,再一想,对于服务端来说,IO模型怎么能少得了Netty啊,所以下决心也要支持Netty,但是很遗憾Netty目前没有对Thrift的序列化解析,拆包粘包的处理,但是有protoBuf,和http协议的封装,怎么办,自己在netty上写对thrift的支持呗,虽然工作量大了一些,但是一想netty不就是干这个事儿的嘛- -!
  3. 服务发现 支持集群的RPC框架里面,像dubbo,或者是其他三方框架,对服务发现都进行的封装,那么自研RPC的话,服务发现就要自己来写了,那么简单小巧容易上手的zookeeper肯定是首选了。 输入图片说明

5:安装教程

考拉RPC确保精简,轻量的原则,只需要zk服务器进行服务发现(后续版本服务治理可能需要Datasource),对于zookeeper的各个环境安装教程请自行google,不在本安装教程内特意说明 如果需要cat的数据大盘功能,想更方便的查看服务的调用情况,需要安装cat服务,至于cat的安装就更简单了,就是war包扔在tomcat里面运行,然后配置一些参数即可,当然你也可以不接入cat,单独的作为RPC框架来使用。 CAT接入参考:https://www.oschina.net/p/cat-dianping

二:使用说明

1:前期准以及依赖

maven依赖

 <dependency>
        <groupId>koalas.rpc</groupId>
        <artifactId>com.Koalas.rpc</artifactId>
        <version>Koalas-1.0-SNAPSHOT</version>
    </dependency>

关于私服的引用问题,记得全局文件不要把全局的依赖都代理掉,因为这么做只能从aliyun的私服上下载项目,由于koalas-rpc中的Cat依赖只在美团点评的私有仓库中存在,这么做会下载依赖失败,所以不要暴力的设置下面的代理做法。

    <mirror>
        <id>nexus-aliyun</id>
        <mirrorOf>*</mirrorOf>
        <name>Nexus aliyun</name>
        <url>http://maven.aliyun.com/nexus/content/groups/public</url>
    </mirror>

正确的做法是将代理去掉,直接按照作者在pom.xml文件中给定的依赖仓库地址就可以了。

首先需要编写自己的thrift idl文件了,这里多说一句,在群里的小伙伴曾经说过idl文件编写不熟悉,有可能出错 这里顺带说一嘴,thrift的ldl文件和写java的请求体和service几乎没有任何区别,熟能生巧,上手之后非常简单 这里推荐几篇thrift的文章,有兴趣可以看一看 https://blog.csdn.net/lk10207160511/article/details/50450541, https://blog.csdn.net/hrn1216/article/details/51306395 下面截图为测试的thrift文件

namespace java thrift.service

include 'WmCreateAccountRequest.thrift'
include 'WmCreateAccountRespone.thrift'

service WmCreateAccountService {
      WmCreateAccountRespone.WmCreateAccountRespone getRPC(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest1(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest2(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest3(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest4(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest5(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest6(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest7(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest8(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest9(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest10(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest11(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
      WmCreateAccountRespone.WmCreateAccountRespone koaloasTest12(1:WmCreateAccountRequest.WmCreateAccountRequest wmCreateAccountRequest);
}
namespace java thrift.domain
/**
* 测试类
**/
struct WmCreateAccountRequest {

    1:i32 source,

    2:i32 accountType,

    3:i64 partnerId,

    4:i32 partnerType,

    5:string partnerName,

    6:i32 poiFlag,
}
namespace java thrift.domain
/**
* 测试类
**/
struct WmCreateAccountRespone {
    1:i32 code,
    2:string message,
}

编译器需要大家去下载对应的版本 windows和linux下不同的编译器,下载地址http://archive.apache.org/dist/thrift/0.8.0/ 下载0.8.0版本即可,0.8.0版本是很老的版本了,但是相对稳定,后续会把thirft版本升级。如果上面地址下载不下来或者失效,可以上作者的网盘上下载zip包,上面有win版本和mac,linux版本的0.8.0的thrift编译器,链接: https://pan.baidu.com/s/1JpLqVbmokTOe30nU_TznWw提取码: ntye, 编译上面三个文件 thrift -gen java WmCreateAccountService.thrift, thrift -gen java WmCreateAccountRequest.thrift, thrift -gen java WmCreateAccountRespone.thrift 在当前目录下会生成3个java文件 这三个文件分别是请求体,返回体,和服务类,就这么简单 Ok作为开发者而言,所有的准备工作都结束了。下面就开始进入实际开发~

2:xml配置方式

1. 客户端同步调用


首先在你的xml里面配置一下引用

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	   xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	   xmlns:koalas="http://www.koalas.com/schema/ch"
	   xsi:schemaLocation="http://www.springframework.org/schema/beans
	                       http://www.springframework.org/schema/beans/spring-beans-4.2.xsd
                           http://www.koalas.com/schema/ch
                           http://www.koalas.com/schema/ch.xsd">

	<koalas:client id="wmCreateAccountService1"
			   serviceInterface="thrift.service.WmCreateAccountService"
			   zkPath="127.0.0.1:2181"/>
</beans>

首先引用koalas的自定义schema,xmlns:koalas和xsi:schemaLocation, 其中serviceInterface为thrift自动生成的java类,zkPath为zk的服务地址,默认是同步调用,接下来就是在java里面的远程调用了。

package thrift.service;

import org.apache.thrift.TException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import thrift.domain.WmCreateAccountRequest;
import thrift.domain.WmCreateAccountRespone;

@Service("testService")
public class TestService {

    @Autowired
    WmCreateAccountService.Iface wmCreateAccountService;

    public void getRemoteRpc() throws TException {

        WmCreateAccountRequest request= new WmCreateAccountRequest (  );
        //request.setSource ( 10 );
        request.setAccountType ( 1 );
        request.setPartnerId ( 1 );
        request.setPartnerType ( 1 );
        request.setPartnerName ( "你好" );
        request.setPoiFlag ( 1 );
        WmCreateAccountRespone respone = wmCreateAccountService.getRPC (  request);
        System.out.println (respone);
     }
}

就这么简单一个高性能的RPC框架就诞生了。WmCreateAccountService是thrift自动生成的,作为使用者而言不需要做任何事情,只需要在spring bean中注入xxx.Iface即可。

2. 客户端异步调用


刚刚我们看了客户端的同步调用方式,下面我们一起来看看异步的使用方式, 首先在你的xml里面配置一下引用

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	   xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	   xmlns:koalas="http://www.koalas.com/schema/ch"
	   xsi:schemaLocation="http://www.springframework.org/schema/beans
                           http://www.springframework.org/schema/beans/spring-beans-4.2.xsd
                           http://www.koalas.com/schema/ch
                           http://www.koalas.com/schema/ch.xsd">

	<koalas:client id="wmCreateAccountService2"
	       serviceInterface="thrift.service.WmCreateAccountService"
               zkPath="127.0.0.1:2181"
	       async="true"/>
</beans>

和同步的区别async=true,代表异步使用,接下来就是在java里面的异步远程调用了

package thrift.service;

import client.async.KoalasAsyncCallBack;
import org.apache.thrift.TException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import thrift.domain.WmCreateAccountRequest;
import thrift.domain.WmCreateAccountRespone;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
@Service("testService")
public class TestService2 {
    @Autowired
    WmCreateAccountService.AsyncIface wmCreateAccountService;
    public void getRemoteRpc() throws TException{
        KoalasAsyncCallBack<WmCreateAccountRespone, WmCreateAccountService.AsyncClient.getRPC_call> 
        koalasAsyncCallBack = new KoalasAsyncCallBack<> ();
        WmCreateAccountRequest request= new WmCreateAccountRequest (  );
        request.setAccountType ( 1 );
        request.setPartnerId ( 1 );
        request.setPartnerType ( 1 );
        request.setPartnerName ( "你好啊" );
        request.setPoiFlag ( 1 );
        wmCreateAccountService.getRPC ( request ,koalasAsyncCallBack);
        Future<WmCreateAccountRespone> future= koalasAsyncCallBack.getFuture ();
        try {
            //to get other things
            System.out.println (future.get ());
        } catch (InterruptedException e) {
            e.printStackTrace ();
        } catch (ExecutionException e) {
            e.printStackTrace ();
        }
    }

}

这次调用getRpc方法不会阻塞等待server同步结果了。而是可以去干一些自己的其他事情,然后在调用future.get ()来获得返回resopne,当然future.get ()支持最大等待时间的,超时之后会抛出TimeOutException,当然这仅仅是client超时而已不会影响server的执行结果。

3. 服务端实现

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xmlns:context="http://www.springframework.org/schema/context"
       xmlns:koalas="http://www.koalas.com/schema/ch"
       xsi:schemaLocation="http://www.springframework.org/schema/beans
	   http://www.springframework.org/schema/beans/spring-beans-4.2.xsd
	   http://www.springframework.org/schema/context
	   http://www.springframework.org/schema/context/spring-context-4.2.xsd
	   http://www.koalas.com/schema/ch
	   http://www.koalas.com/schema/ch.xsd">

    <koalas:server id="WmCreateAccountService"
                   serviceInterface="thrift.service.WmCreateAccountService"
                   serviceImpl="wmCreateAccountServiceImpl"
                   port="8001"
                   zkpath="127.0.0.1:2181"/>
</beans>

服务端只需要指定暴露的端口,zk服务地址和服务端实现即可。

@Service
public class WmCreateAccountServiceImpl implements WmCreateAccountService.Iface {
    @Override
    public WmCreateAccountRespone getRPC(WmCreateAccountRequest wmCreateAccountRequest) throws TException {
        WmCreateAccountRespone wmCreateAccountRespone = new WmCreateAccountRespone ();
        wmCreateAccountRespone.setCode ( 1 );
        wmCreateAccountRespone.setMessage ( "你好" );
        if(new Random (  ).nextInt ( 5 )>100){
            throw new RuntimeException ( "测试错误" );
        }
        System.out.println ( "getRPC  start ...." + wmCreateAccountRequest + "------" + atomicInteger.incrementAndGet () );

        return wmCreateAccountRespone;
    }
}

只需要实现xxxx.Iface即可

3:注解配置方式

有的小伙伴会觉得配置xml有点麻烦,koalas-rpc也提供了纯注解的使用方式

1. 客户端调用

xml中的配置

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	   xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	   xmlns:koalas="http://www.koalas.com/schema/ch"
	   xsi:schemaLocation="http://www.springframework.org/schema/beans
	                       http://www.springframework.org/schema/beans/spring-beans-4.2.xsd
                           http://www.koalas.com/schema/ch
                           http://www.koalas.com/schema/ch.xsd">

	<koalas:annotation package="thrift.annotation.client.impl"/>
</beans>

一个扫描标签就行了,如果你在spring bean里想通过调用rpc远程服务,那么扫描一下就行了

java中使用

@Service("testServiceSync")
public class TestServiceSync {

    @KoalasClient(zkPath = "127.0.0.1:2181",readTimeout = 5000*1000)
    WmCreateAccountService.Iface wmCreateAccountService;

    public void getRemoteRpc() throws TException {
        WmCreateAccountRequest request= new WmCreateAccountRequest (  );
        //request.setSource ( 10 );
        request.setAccountType ( 1 );
        request.setPartnerId ( 1 );
        request.setPartnerType ( 1 );
        request.setPartnerName ( "你好啊-我是注解实现的" );
        request.setPoiFlag ( 1 );
        WmCreateAccountRespone respone = wmCreateAccountService.getRPC (  request);
        System.out.println (respone);
     }

}

只需要在你想远程调用的类上加一个@KoalasClient注解就可以了,远程调用就这么简单,当然异步使用方式也类似

@Service("testServiceAsync")
public class TestServiceAsync {
    @KoalasClient(zkPath = "127.0.0.1:2181",readTimeout = 5000*1000)
    WmCreateAccountService.AsyncIface wmCreateAccountService;
    public void getRemoteRpc() throws TException{
        KoalasAsyncCallBack<WmCreateAccountRespone, WmCreateAccountService.AsyncClient.getRPC_call> koalasAsyncCallBack = new KoalasAsyncCallBack<> ();
        WmCreateAccountRequest request= new WmCreateAccountRequest (  );
        //request.setSource ( 10 );
        request.setAccountType ( 1 );
        request.setPartnerId ( 1 );
        request.setPartnerType ( 1 );
        request.setPartnerName ( "你好啊-我是注解实现的" );
        request.setPoiFlag ( 1 );
        wmCreateAccountService.getRPC ( request ,koalasAsyncCallBack);
        Future<WmCreateAccountRespone> future= koalasAsyncCallBack.getFuture ();
        try {
            System.out.println (future.get ());
        } catch (InterruptedException e) {
            e.printStackTrace ();
        } catch (ExecutionException e) {
            e.printStackTrace ();
        }
    }

}

注意和同步调用不同的是自定义注解注入的接口是xxxx.AsyncIface,同步是xxxx.Iface。KoalasAsyncCallBack回调使用方式和上面的xml一样。有一点需要说明

<koalas:annotation package="thrift.annotation.client.impl"/>

如果package属性设置为空,那么所有的@KoalasClient都会生效,也就是说所有在spring bean中的自定义注解@KoalasClient都会自动注入。这里说另外一种用法

private WmCreateAccountService.Iface wmCreateAccountService;

@KoalasClient(zkPath = "127.0.0.1:2181",readTimeout = 5000*1000)
public void setWmCreateAccountService(WmCreateAccountService.Iface wmCreateAccountService){
    this.wmCreateAccountService = wmCreateAccountService;
}

直接注入方法的方式也是可以的。

2. 服务端实现

xml中的配置

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xmlns:koalas="http://www.koalas.com/schema/ch"
       xsi:schemaLocation="http://www.springframework.org/schema/beans
	   http://www.springframework.org/schema/beans/spring-beans-4.2.xsd
	   http://www.koalas.com/schema/ch
	   http://www.koalas.com/schema/ch.xsd">
    <koalas:annotation package="thrift.annotation.server.impl"/>
</beans>

配置和client中一样只需要配置一个自定义标签即可,java中的使用方式如下:

package thrift.annotation.server.impl;

import annotation.KoalasServer;
import org.apache.thrift.TException;
import thrift.domain.WmCreateAccountRequest;
import thrift.domain.WmCreateAccountRespone;
import thrift.service.WmCreateAccountService;

import java.util.Random;
import java.util.concurrent.atomic.AtomicInteger;

@KoalasServer ( port = 8801,zkpath="127.0.0.1:2181")
public class WmCreateAccountServiceNettyImpl implements WmCreateAccountService.Iface {
    private AtomicInteger atomicInteger = new AtomicInteger ( 0 );
    @Override
    public WmCreateAccountRespone getRPC(WmCreateAccountRequest wmCreateAccountRequest) throws TException {
        WmCreateAccountRespone wmCreateAccountRespone = new WmCreateAccountRespone ();
        wmCreateAccountRespone.setCode ( 1 );
        wmCreateAccountRespone.setMessage ( "你好啊" );
        if(new Random (  ).nextInt ( 5 )>100){
            try {
                Thread.sleep ( 5000 );
            } catch (InterruptedException e) {
                e.printStackTrace ();
            }
        }
        System.out.println ( "getRPC  start ...." + wmCreateAccountRequest + "------" + atomicInteger.incrementAndGet () );

        return wmCreateAccountRespone;
    }
}

这样服务实现就会主从注册到zookeeper中提供给client端使用了。值得说明的是被扫描到并且类上有@KoalasServer的类会被加载到spring上下文中,可以当成一个普通的spring bean来处理,还有一点如果你不指定package,配置成如下情况

 <koalas:annotation package=""/>

这样配置会以spring的bean为基础实现,那么使用方式需要改成

package thrift.annotation.server.impl;

import annotation.KoalasServer;
import org.apache.thrift.TException;
import thrift.domain.WmCreateAccountRequest;
import thrift.domain.WmCreateAccountRespone;
import thrift.service.WmCreateAccountService;

import java.util.Random;
import java.util.concurrent.atomic.AtomicInteger;


@KoalasServer ( port = 8801,zkpath="127.0.0.1:2181")
@Service
public class WmCreateAccountServiceNettyImpl implements WmCreateAccountService.Iface {
    private AtomicInteger atomicInteger = new AtomicInteger ( 0 );
    @Override
    public WmCreateAccountRespone getRPC(WmCreateAccountRequest wmCreateAccountRequest) throws TException {
        WmCreateAccountRespone wmCreateAccountRespone = new WmCreateAccountRespone ();
        wmCreateAccountRespone.setCode ( 1 );
        wmCreateAccountRespone.setMessage ( "你好啊" );
        if(new Random (  ).nextInt ( 5 )>100){
            try {
                Thread.sleep ( 5000 );
            } catch (InterruptedException e) {
                e.printStackTrace ();
            }
        }
        System.out.println ( "getRPC  start ...." + wmCreateAccountRequest + "------" + atomicInteger.incrementAndGet () );

        return wmCreateAccountRespone;
    }
}

就这么简单即可。

3. 泛化调用

为什么需要泛化调用? 1:有一个通用压测平台,想去压测不同的server。那么现在就有一个问题了,不可能让压测平台服务端去依赖所有的下游服务,这样依赖会很繁杂,这时候如果说只配置serviceName,request模型和request请求json就可以进行远程调用,那么将大大的减少头疼的依赖。 2:假设php同事对java代码不熟悉,不可能让他们去依赖spring,一共一套简单的api来使用是很有必要的。 3:上游服务不想依赖下游服务的数据模型。

对于泛化调用来说,dubbo已经提供,soft-rpc也有提供。当然koalas-rpc也不会例外,并且支持xml,注解和java api的使用方式。下面几个例子来说明一下使用方式。更多demo去源码中查看,作者已经写好,开箱即用。

xml使用方式

<koalas:client id="wmCreateAccountService3"
				   serviceInterface="thrift.service.WmCreateAccountService"
				   zkPath="127.0.0.1:2181"
				   generic="true"
				   readTimeout="50000000"/>
@Autowired
@Qualifier("wmCreateAccountService3")
GenericService.Iface wmGenericService;

public void getGenericRpc() throws TException {
        GenericRequest request = new GenericRequest (  );
        request.setMethodName ( "getRPC" );

        request.setClassType ( new ArrayList<String> (  ){{
            add ( "thrift.domain.WmCreateAccountRequest");
        }} );

        request.setRequestObj ( new ArrayList<String> (  ){{
            add ( "{\"accountType\":1,\"partnerId\":1,\"partnerName\":\"你好\",\"partnerType\":1,\"poiFlag\":1,\"source\":0}");
        }} );

        String str = wmGenericService.invoke ( request );
        System.out.println (str);
    }

简单说明一下,GenericService.Iface是通用服务,有三个参数,第一个是方法名称,第二个是请求体类型集合,第三个是请求体内容。直接调用即可,返回值是server端的json类型,使用json工具为阿里巴巴的Fast-json

注解使用方式

 @KoalasClient(zkPath = "127.0.0.1:2181",readTimeout = 5000*1000,genericService = "thrift.service.WmCreateAccountService")
 GenericService.Iface genericService;
 
 public void getGenericRemoteRpc() throws TException {
        GenericRequest request = new GenericRequest (  );
        request.setMethodName ( "getRPC" );

        request.setClassType ( new ArrayList<String> (  ){{
            add ( "thrift.domain.WmCreateAccountRequest");
        }} );

        request.setRequestObj ( new ArrayList<String> (  ){{
            add ( "{\"accountType\":1,\"partnerId\":1,\"partnerName\":\"你好\",\"partnerType\":1,\"poiFlag\":1,\"setAccountType\":true,\"setPartnerId\":true,\"setPartnerName\":true,\"setPartnerType\":true,\"setPoiFlag\":true,\"setSource\":false,\"source\":0}");
        }} );

        String str = genericService.invoke ( request );
        System.out.println (str);
    }
    

唯一区别的是注解要指定genericService,当genericService不为空时,默认开启泛化调用 当然,java api方式也是支持的。

        KoalasClientProxy koalasClientProxy = new KoalasClientProxy();
        koalasClientProxy.setServiceInterface ( "thrift.service.WmCreateAccountService" );
        koalasClientProxy.setZkPath ("127.0.0.1:2181"  );
        koalasClientProxy.setGeneric ( true );
        koalasClientProxy.setReadTimeout ( 50000000 );
        koalasClientProxy.afterPropertiesSet ();
        GenericService.Iface genericService = (GenericService.Iface) koalasClientProxy.getObject ();
        GenericRequest request = new GenericRequest (  );
        request.setMethodName ( "getRPC" );

        request.setClassType ( new ArrayList<String> (  ){{
            add ( "thrift.domain.WmCreateAccountRequest");
        }} );

        request.setRequestObj ( new ArrayList<String> (  ){{
            add ( "{\"accountType\":1,\"partnerId\":1,\"partnerName\":\"你好\",\"partnerType\":1,\"poiFlag\":1,\"setAccountType\":true,\"setPartnerId\":true,\"setPartnerName\":true,\"setPartnerType\":true,\"setPoiFlag\":true,\"setSource\":false,\"source\":0}");
        }} );

        String str = genericService.invoke ( request );
        System.out.println (str);
        koalasClientProxy.destroy ();

特别注意的是KoalasClientProxy对象非常非常重,一定要在服务关闭的时候执行koalasClientProxy.destroy ();方法,并且需要带应用程序中缓存该对象,千万不要每次使用都要创建,这样会极大的浪费资源,每个服务对应一个KoalasClientProxy,同步和异步也是不同的对象,这些使用者需要注意。

浏览 5
点赞
评论
收藏
分享

手机扫一扫分享

编辑 分享
举报
评论
图片
表情
推荐
点赞
评论
收藏
分享

手机扫一扫分享

编辑 分享
举报