【飞凌嵌入式 OK3399-C 开发板试用体验】(安装RabbitMQ消息队列服务】
原创
fcb5511
2020-09-30 13:29:00
RK3399
RK3399开发板
3399开发板
fcb5511
2020-09-30 13:29:00
RK3399
RK3399开发板
3399开发板
作者：fcb5511
提供两种消息队列服务安装方式：
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erlang
2、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rk3399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rk3399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 admin
2、rabbitmqctl set_user_tagsadmin administrator
3、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
wget https://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-server
rabbitmq-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 admin
2、rabbitmqctl set_user_tagsadmin administrator
3、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 consumer RecvData:", 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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