fcb5511 发表于 2020-8-20 22:07:41

【飞凌嵌入式 OK3399-C 开发板试用体验】(安装RabbitMQ消息队列服务】

本帖最后由 fcb5511 于 2020-9-7 09:00 编辑

提供两种消息队列服务安装方式:一、通过apt命令安装二、通过官方源码以及binary包安装
apt命令安装方式获取的erlang和rabbitmqserver版本一般比较低,erlang版本和rabbitmqserver版本如果匹配不好,在高并发,多连接的情况下,cpu以及内存消耗较大(不知道现在最新安装版本有没有这个问题,有兴趣的可以试一试),优点是安装和使用都很方便,下面是安装和配置的各个步骤:
安装RabbitMQServer需要的语言环境 erlang,执行如下命令1、apt-get installerlang-nox   # 安装erlang2、erl# 查看relang语言版本,成功执行则说明relang安装成功
安装RabbitMQServer消息队列服务apt-get install rabbitmq-server #安装成功自动启动 查看RabbitMQServer安装状态systemctl status rabbitmq-server







启用管理插件(可通过网页登录)rabbitmq-plugins enable rabbitmq_management

在OK3399浏览器中输入localhost:15672,登陆用户名和密码分别为”guest”、”guest”。如果要实现局域网的其它计算机可访问OK3399的MQ服务,需要给MQ服务添加管理员以及管理员权限。新建admin用户并赋予权限1、rabbitmqctl add_useradmin admin2、rabbitmqctl set_user_tagsadmin administrator3、rabbitmqctl set_permissions-p / admin '.*' '.*' '.*'


局域网内计算机浏览器输入192.168.1.109:15672,用户名和密码分别为”admin”、”admin”

源码编译和binary安装需要从erlang官网下载源码自行编译为arm64平台的安装包,rabbitmqserver可直接从官网下载binaray包,手动添加环境变量。这种安装方式优点是可以根据喜好安装最新发布的版本。
从github获取erlang源码包wgethttps://www.erlang.org/downloads/otp_src_22.1.tar.gz 解压源码包tar -zvxf otp_src_22.1.tar.gz #编译&安装 编译前先安装ssl相关的依赖库,否则ok3399在启动mq服务时会报错apt-get install libssl-dev 接下来安装erlangcd otp_src_22.1 ./otp_build autoconf./configure && make && sudo make install安装不指定路径会默认安装到/usr/local/lib/erlang/目录下

rabbitmqserver二进制包安装从github获取安装包wget https://github.com/rabbitmq/rabbitmq-server/releases/download/v3.8.0/rabbitmq-server-generic-unix-3.8.0.tar.xz
解压tar -xvf rabbitmq-server-generic-unix-3.8.0.tar.xz将解压后的包放到/usr/local目录
配置环境变量vim /etc/profile 在后面添加如下命令:export PATH=$PATH:/usr/local/lib/erlang/bin:/usr/local/rabbitmq_server-3.8.0/sbin让新加的环境变量有效source /etc/profile
用erl查看版本号
启动rabbitmq-serverrabbitmq-plugins enable rabbitmq_management//允许网页管理rabbitmq-server 或 rabbitmq-server -detached(后台运行)
新建admin用户并赋予权限1、rabbitmqctl add_useradmin admin2、rabbitmqctl set_user_tagsadmin administrator3、rabbitmqctl set_permissions-p / admin '.*' '.*' '.*'
至此,两种方式安装Rabbitmq服务完成。接下来用python来验证一下功能,python实现一个消费者,一个生产者,生产间隔1秒钟发送一帧数据,消费者从队列取数据并打印。python使用rabbitmq需要引用pika库,pika库是独立于python的第三方库,需要使用pip命令安装。amqproducer.py程序:import pika
import threading
import time
import signal
import os


class Producer(object):
    def __init__(self, host='127.0.0.1', port=5672,
               user='admin', passwd='admin',
               exchange='test_exchange', routing_key='test_key',
               exchange_type= 'fanout', exhcange_durable=False, exchange_autodelete=True
               ):
      self.host=host
      self.port=port
      self.user=user
      self.passwd=passwd
      self.exchange=exchange
      self.routing_key=routing_key
      self.exchange_type=exchange_type
      self.exhcange_durable=exhcange_durable
      self.exchange_autodelete=exchange_autodelete
      self.connection=None
      self.channel=None


    def CreateConnection(self):
      try:
            self.credentials=pika.PlainCredentials(self.user, self.passwd)
            self.connection = pika.BlockingConnection(pika.ConnectionParameters(host = self.host, port = self.port, virtual_host = '/', credentials=self.credentials))
            self.channel = self.connection.channel()   

         
            self.channel.exchange_declare(exchange_type=self.exchange_type, exchange = self.exchange, durable = self.exhcange_durable, auto_delete=self.exchange_autodelete)
      except Exception as e:
            print("occurring an exception when the producer executing the function 'CreateConnection()':", e)


    def PublisMessage(self, Message):
      try:
            self.channel.basic_publish(exchange=self.exchange, routing_key=self.routing_key, properties=pika.BasicProperties(delivery_mode = 2), body=Message)
      except Exception as e:
         print("An exception occurred when publishing message:", e)
      


amqconsumer.py程序:import pika
import time

class Consumer(object):
    def __init__(self, host='127.0.0.1', port=5672,
               user='admin', passwd='admin',
               queue='test_queue', exchange='test_exchange', routing_key='test_key',
               queue_exclusive=False, queue_durable=False, queue_autodelete=True,
               exchange_type= 'fanout', exhcange_durable=False, exchange_autodelete=True
               ):
      self.host=host
      self.port=port
      self.user=user
      self.passwd=passwd
      self.queue=queue
      self.exchange=exchange
      self.routing_key=routing_key
      self.queue_exclusive=queue_exclusive
      self.queue_durable=queue_durable
      self.queue_autodelete=queue_autodelete
      self.exchange_type=exchange_type
      self.exhcange_durable=exhcange_durable
      self.exchange_autodelete=exchange_autodelete

      self.connection=None
      self.channel=None

      
    def CreateConnection(self):
      try:
            self.credentials=pika.PlainCredentials(self.user, self.passwd)
            self.connection = pika.BlockingConnection(pika.ConnectionParameters(host = self.host, port = self.port, virtual_host = '/', credentials=self.credentials))
            self.channel = self.connection.channel()

            self.channel.queue_declare(queue=self.queue, durable=self.queue_durable, exclusive=self.queue_exclusive, auto_delete=self.queue_autodelete)
            
            self.channel.exchange_declare(exchange_type=self.exchange_type, exchange = self.exchange, durable = self.exhcange_durable, auto_delete=self.exchange_autodelete)

            self.channel.queue_bind(queue = self.queue, exchange = self.exchange, routing_key = self.routing_key)

            self.channel.basic_consume(on_message_callback = self.on_response, auto_ack=True, queue=self.queue)

      except Exception as e:
            print("occurring an exception when the consumerRecvData:", e)
            

    def on_response(self, ch, method, props, body):
            #print(" [%s] Received %r" % (time.time(), body))
            print(time.strftime('%H:%M:%S',time.localtime(time.time()))+': Get Message from '+self.host + ':'+body.decode())


    def ProcessConsumeEventBlock(self):
      try:
            self.channel.start_consuming()
      except Exception as e:
            print('An exception occurred when executing consuming, the exception is:',e)


    def ProcessConsumeEventNoneBlock(self):
      try:
            self.connection.process_data_events()
      except Exception as e:
            print('An exception occurred when executing consuming, the exception is:',e)
   



main.py程序:import pika
import time
import threading
from amqconsumer import Consumer
from amqproducer import Producer

class ManageMent:
    def __init__(self):
      self.producer = Producer(host='localhost',user='guest',passwd='guest')
      self.consumer = Consumer(host='localhost',user='guest',passwd='guest')
      
   
    def CreateSever(self):
      self.consumer.CreateConnection()
      self.producer.CreateConnection()
   
    def ProducerRun(self):
      while True:
         self.producer.PublisMessage('this message is used for testing RabbitMQ')
         time.sleep(0.3)

    def ConsumerRun(self):
      self.consumer.ProcessConsumeEventBlock()
      

    def Run1(self):
      while True:   
            self.producer.PublisMessage('this message is used for test RabbitMQ')
            self.consumer.ProcessConsumeEventNoneBlock()
            time.sleep(1)

    def Run(self):
      self.Consumer_thread=threading.Thread(target=self.ConsumerRun)
      self.Producer_thread=threading.Thread(target=self.ProducerRun)
      self.Consumer_thread.start()
      self.Producer_thread.start()


if __name__ == '__main__':
    manage=ManageMent()
    manage.CreateSever()
    manage.Run()



最终运行效果如图

此贴为基础功能,下次将mq数据与qt界面结合,实现动态的界面。
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