基于RabbitMQ的RPC通信

基于RabbitMQ的RPC通信

当需要调用局域网中的服务时,可以用frp进行穿透,也可以在公网搭建RabbitMQ服务器做消息中转,本文演示了这个步骤。

版本信息

属性
RabbitMQ 3.13.0
pika 1.3.1
python 3.6.8
CPU 2颗 Intel® Xeon® Gold 6248R CPU @ 3.00GHz

操作步骤

搭建RabbitMQ(默认用户名:guest 密码:guest )

bash 复制代码
docker run -d --name rabbitmq -p 5671:5671 -p 5672:5672 -p 4369:4369 \
				-p 25672:25672 -p 15671:15671 -p 15672:15672 rabbitmq:management

服务端实现(srv.py)

python 复制代码
# -*- coding:utf-8 -*-
import pika
import time
import sys
import os

def request_handler(message):
    #content=message.decode('utf-8')
    #print(content)
    return message
    
def on_request(ch, method, props, body):
    response = request_handler(body)
    ch.basic_publish(exchange="",
                     routing_key=props.reply_to,
                     properties=pika.BasicProperties(
                         content_encoding='utf-8',
                         correlation_id=props.correlation_id,
                     ),
                     body=str(response))
    ch.basic_ack(delivery_tag=method.delivery_tag)

while True:
    try:
        credentials = pika.PlainCredentials("guest", "guest")
        connection = pika.BlockingConnection(pika.ConnectionParameters("127.0.0.1",port=5672, credentials=credentials))
        channel = connection.channel()
        channel.queue_declare(queue="rpc_queue")    
        channel.basic_consume("rpc_queue", on_request)
        print(" waiting requests")
        channel.start_consuming()
    except:
        print("error restart")
        pass
    time.sleep(1)

客户端实现(client.py)

python 复制代码
# -*- coding:utf-8 -*-
import os
import io
import time
import uuid
import sys
import requests
import warnings
import numpy as np
import pika
import time
import sys
import traceback
import json
import queue
import uuid
import time
import argparse

class MqRpcClient(object):
    def __init__(self):
        credentials = pika.PlainCredentials("guest", "guest")
        self.connection = pika.BlockingConnection(pika.ConnectionParameters("127.0.0.1",port=5672, credentials=credentials))
        self.channel = self.connection.channel()
        result = self.channel.queue_declare(queue="", exclusive=True)
        self.callback_queue = result.method.queue
        self.channel.basic_consume(self.callback_queue, self.on_response, True)

    def on_response(self, ch, method, props, body):
        if self.corr_id == props.correlation_id:
            self.response = body

    def send(self, message,timeout=5):
        self.response = None
        self.corr_id = str(uuid.uuid4())
        self.channel.basic_publish(exchange="",
                                   routing_key="rpc_queue",
                                   properties=pika.BasicProperties(
                                       reply_to=self.callback_queue,
                                       content_encoding='utf-8',
                                       correlation_id=self.corr_id,
                                   ),
                                   body=message.encode('utf-8')) 
        t0=time.time()
        while self.response is None:
            self.connection.process_data_events()
            t1=time.time()
            if t1-t0>timeout:
                return None
        return self.response

def send_message(message,loop):
    rpc = MqRpcClient()
    t0=time.time()
    for i in range(loop):
        response = rpc.send(message,1)
        if response is None and response==message:
            print("Failed")
            break
    t1=time.time()
    print("qps:{:.2f}".format(loop/(t1-t0)))
    return True

if __name__ == "__main__":
    parse = argparse.ArgumentParser()
    parse.add_argument('--msg', type=str, default='', help='')
    parse.add_argument('--loop', type=int, default=1, help='')
    args = parse.parse_args()
    send_message(args.msg,args.loop)

性能测试(4919 qps)

bash 复制代码
# 安装依赖
pip3 install pika==1.3.1

# 启动服务端(服务端收到请求后,直接回复)
python3 srv.py &

# 客户端多路请求,测试总吞吐
cat <<EOF | tee rpc.sh
for i in \`seq 0 \$1\`
do
  python3 client.py  --msg HelloWorld --loop 1000 &
done
wait
EOF
bash rpc.sh  16 | awk -F: '{SUM+=$2};END{print SUM}'
相关推荐
幼稚园的山代王2 小时前
RabbitMQ 4.1.1初体验-队列和交换机
分布式·rabbitmq·ruby
高兴达16 小时前
RPC框架--实现一个非常简单的RPC调用
网络协议·rpc·firefox
高兴达20 小时前
RPC--Netty客户端实现
java·spring·rpc
GalaxyPokemon20 小时前
RPC-Client模块
网络·网络协议·rpc
csdn_aspnet1 天前
在 Windows 机器上安装和配置 RabbitMQ
windows·rabbitmq
幼稚园的山代王1 天前
RabbitMQ 4.1.1初体验
分布式·rabbitmq·ruby
csdn_aspnet1 天前
Windows Server 上的 RabbitMQ 安装和配置
windows·rabbitmq
百锦再1 天前
RabbitMQ用法的6种核心模式全面解析
分布式·rabbitmq·路由·消息·通道·交换机·代理
deriva1 天前
.netcore+ef+redis+rabbitmq+dotcap先同步后异步再同步的方法,亲测有效
redis·rabbitmq·.netcore