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MQTT简介 MQTT(Message Queuing Telemetry Transport,消息队列遥测传输)是IBM开发的一个即时通讯协议,有可能成为物联网的重要组成部分。该协议支持所有平台,几乎可以把所有联网物品和外部连接起来,被用来当做传感器和制动器(比如通过Twitter让房屋联网)的通信协议。 Docker安装RabbitMQ配置MQTT 使用RabbitMQ作为MQTT服务端,Eclipse Paho作为客户端。宿主机系统为ubuntu16.04 Docker下载镜像
启动RabbitMQ docker run -d --hostname my-rabbit --name some-rabbit -p 15672:15672 -p 5672:5672 -p 1883:1883 -p 15675:15675 daocloud.io/library/rabbitmq:3.7.4 注意映射容器端口
启用插件 默认安装后我们需要手动开启rabbitmq_management插件,rabbitmq_mqtt插件和rabbitmq_web_mqtt插件。 执行如下三条命令 docker exec <容器ID> rabbitmq-plugins enable rabbitmq_management docker exec <容器ID> rabbitmq-plugins enable rabbitmq_mqtt docker exec <容器ID> rabbitmq-plugins enable rabbitmq_web_mqtt 当然你也可以写个脚本start.sh,复制到容器中 /usr/sbin/rabbitmq-plugins enable rabbitmq_management /usr/sbin/rabbitmq-plugins enable rabbitmq_mqtt /usr/sbin/rabbitmq-plugins enable rabbitmq_web_mqtt 进入容器执行这个脚本。
开放宿主机端口 firewall-cmd --zone=public --add-port=15672/tcp --permanent firewall-cmd --zone=public --add-port=5672/tcp --permanent firewall-cmd --zone=public --add-port=1883/tcp --permanent firewall-cmd --zone=public --add-port=15675/tcp --permanent firewall-cmd --reload Python MQTT客户端实现 安装python包
发送数据demo(消费者) # 使用前需要启动hbase和thrift服务器 # 启动hbase在cd /usr/local/hbase下bin/start-hbase.sh 默认端口为 60000 # 启动thrift服务器cd /usr/local/hbase/bin执行./hbase-daemon.sh start thrift 默认端口为9090 import sys import os dir_common = os.path.split(os.path.realpath(__file__))[0] + '/../' sys.path.append(dir_common) # 将根目录添加到系统目录,才能正常引用common文件夹 import argparse # import logging import time,datetime from common.py_log import init_logger,init_console_logger from common.config import * from common.py_hbase import PyHbase import time,json from common.py_rabbit import Rabbit_Consumer import paho.mqtt.client as mqtt import time HOST = "192.168.2.46" PORT = 1883 def client_loop(): client_id = time.strftime('%Y%m%d%H%M%S',time.localtime(time.time())) client = mqtt.Client(client_id) # ClientId不能重复,所以使用当前时间 client.username_pw_set("guest", "guest") # 必须设置,否则会返回「Connected with result code 4」 client.on_connect = on_connect client.on_message = on_message client.connect(HOST, PORT, 60) client.loop_forever() def on_connect(client, userdata, flags, rc): print("Connected with result code "+str(rc)) client.subscribe("test") def on_message(client, userdata, msg): print(msg.topic+" "+msg.payload.decode("utf-8")) if __name__ == '__main__': client_loop() 接收数据demo(生产者) import sys import os dir_common = os.path.split(os.path.realpath(__file__))[0] + '/../' sys.path.append(dir_common) # 将根目录添加到系统目录,才能正常引用common文件夹 import paho.mqtt.client as mqtt import time HOST = "192.168.2.46" PORT = 1883 def client_loop(): client_id = time.strftime('%Y%m%d%H%M%S',time.localtime(time.time())) client = mqtt.Client(client_id) # ClientId不能重复,所以使用当前时间 client.username_pw_set("guest", "guest") # 必须设置,否则会返回「Connected with result code 4」 client.on_connect = on_connect client.on_message = on_message client.connect(HOST, PORT, 60) client.loop_forever() def on_connect(client, userdata, flags, rc): print("Connected with result code "+str(rc)) client.subscribe("test") def on_message(client, userdata, msg): print(msg.topic+" "+msg.payload.decode("utf-8")) if __name__ == '__main__': client_loop() 生产者demo # import paho.mqtt.client as mqtt import paho.mqtt.publish as publish import time HOST = "192.168.2.46" PORT = 1883 def on_connect(client, userdata, flags, rc): print("Connected with result code "+str(rc)) client.subscribe("test") def on_message(client, userdata, msg): print(msg.topic+" "+msg.payload.decode("utf-8")) if __name__ == '__main__': client_id = time.strftime('%Y%m%d%H%M%S',time.localtime(time.time())) # client = mqtt.Client(client_id) # ClientId不能重复,所以使用当前时间 # client.username_pw_set("guest", "guest") # 必须设置,否则会返回「Connected with result code 4」 # client.on_connect = on_connect # client.on_message = on_message # client.connect(HOST, PORT, 60) # client.publish("test", "你好 MQTT", qos=0, retain=False) # 发布消息 publish.single("test", "你好 MQTT", qos = 1,hostname=HOST,port=PORT, client_id=client 官方文档: 总结 以上就是这篇文章的全部内容了,希望本文的内容对大家的学习或者工作具有一定的参考学习价值,谢谢大家对极客世界的支持。如果你想了解更多相关内容请查看下面相关链接 |
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