生产者&消费者.py

1、最简单的 --生产者消费者

send.py
# !/usr/bin/env python3.5
# -*- coding:utf-8 -*-
# __author__ == 'LuoTianShuai'
"""
生产者/发送消息方
"""
import pika

# 远程主机的RabbitMQ Server设置的用户名密码
credentials = pika.PlainCredentials('admin', 'admin123')
connection = pika.BlockingConnection(pika.ConnectionParameters('192.168.1.102', 5672, '/', credentials))

"""
A virtual host holds a bundle of exchanges, queues and bindings. Why would you want multiple virtual hosts?
Easy. A username in RabbitMQ grants you access to a virtual host…in its entirety.
So the only way to keep group A from accessing group B’s exchanges/queues/bindings/etc.
is to create a virtual host for A and one for B. Every RabbitMQ server has a default virtual host named “/”.
If that’s all you need, you’re ready to roll.

virtualHost is used as a namespace
for AMQP resources (default is \"/\"),so different applications could use multiple virtual hosts on the same AMQP server

[root@localhost ~]# rabbitmqctl list_permissions
Listing permissions in vhost "/" ...
admin . . .
guest .* .* .*
...done.

"""
# 创建通道
channel = connection.channel()

# 声明队列hello,RabbitMQ的消息队列机制如果队列不存在那么数据将会被丢掉,下面我们声明一个队列如果不存在创建
channel.queue_declare(queue='hello')

# 给队列中添加消息
channel.publish(exchange="",
routing_key="hello",
body="Hello World")
print("向队列hello添加数据结束")

# 缓冲区已经flush而且消息已经确认发送到了RabbitMQ中，关闭通道
channel.close()

 

receive.py

# !/usr/bin/env python3.5
# -*- coding:utf-8 -*-
# __author__ == 'LuoTianShuai'

"""
消费者/接收消息方
"""

import pika

# 远程主机的RabbitMQ Server设置的用户名密码
credentials = pika.PlainCredentials('admin', 'admin')
connection = pika.BlockingConnection(pika.ConnectionParameters('192.168.31.123', 5672, '/', credentials))

# 创建通道
channel = connection.channel()

# 声明队列
channel.queue_declare(queue='hello')

# 订阅的回调函数这个订阅回调函数是由pika库来调用的
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)

# 定义通道消费者参数
channel.basic_consume(callback,
queue='hello',
no_ack=True)

print(' [*] Waiting for messages. To exit press CTRL+C')

# 开始接收信息，并进入阻塞状态，队列里有信息才会调用callback进行处理。按ctrl+c退出。
channel.start_consuming()