1、rabbitMQ 与ptyhon 进程queue 区别。进程queue 主要用户Python父子进程之间或者统一进程不同子进程。rabbit可以用户不同语言之前的相互交流，socket可以实现同样功能，但是较为复杂。
2、 rabbitMQ 消息轮训。一个生产者对多个消费者时候。会自动将消息轮训给不同消费者。
# Author : xiajinqi
import pika
connetction = pika.BlockingConnection(pika.ConnectionParameters("localhost"))
channel = connetction.channel()
channel.queue_declare(queue='hello')
# 1个生产着，三个消费者，会自动轮训，其中一个消费者宕机后，消息会自动发给其他消费者处理。
channel.basic_publish(exchange='',routing_key='hello',body='hello world!')
print("消息已经发送")
channel.close()
# Author : xiajinqi
import pika
import time
connetction = pika.BlockingConnection(pika.ConnectionParameters("localhost"))
channel = connetction.channel()
channel.queue_declare(queue='hello') #避免生产者后启动，没有这个队列报错。所以在此申明
def callback(ch,method,properties,body):
'''
:param ch: 管道对象内存地址
:param method: 发消息给谁的申明信息
:param properties:
:param body:
:return:
'''
print(ch,method,properties,body)
ch.basic_ack(delivery_tag=method.delivery_tag) #执行完以后告诉服务端
# time.sleep()
pass
## 申明收到调用callbak处理 no_ack 默认为false消息不会丢失，表示需要客户端回调函数处理完，主动告诉服务端已经处理完。为true断电消息会丢失
#channel.basic_consume(callback,queue='hello',no_ack='True')
channel.basic_consume(callback,queue='hello')
print("开始收消息")
channel.start_consuming()
3、服务端消息持久化声明
channel.queue_declare(queue='hello1',durable='True') # durable队列持久化申明
# 1个生产着，三个消费者，会自动轮训，其中一个消费者宕机后，消息会自动发给其他消费者处理。
#delivery_mode 消息持久化声明
channel.basic_publish(exchange='',routing_key='hello1',body='hello world!',properties=pika.BasicProperties(delivery_mode=))
4、消息轮训，机器性能不同时候，可能要求每个机器权重不一样。实现机制如下。prefetch_count =1 只要有消息没有处理完。自动转化给其他人
# Author : xiajinqi
import pika
import time connetction = pika.BlockingConnection(pika.ConnectionParameters("localhost")) channel = connetction.channel() channel.queue_declare(queue='hello2',durable="True") #避免生产者后启动，没有这个队列报错。所以在此申明 def callback(ch,method,properties,body):
'''
:param ch: 管道对象内存地址
:param method: 发消息给谁的申明信息
:param properties:
:param body:
:return:
'''
print(ch,method,properties,body)
ch.basic_ack(delivery_tag=method.delivery_tag) #执行完以后告诉服务端
# time.sleep(30)
pass #channel.basic_consume(callback,queue='hello',no_ack='True')
channel.basic_consume(callback,queue='hello2') channel.basic_qos(prefetch_count=1)
print("开始收消息") channel.start_consuming()
5、exchange 中的fanout模式，广播模式。服务端生成一个交换器exchange（广播台开始广播）。客户端每次随机生成一个队列（收音机）。然后绑定exchange。
广播模式中。会发给所有绑定exchange的队列。消息不会缓存。类似于广播。消息是实时的。即广播时候。用户不在消息不缓存。用户不在线。消息依旧发送
# Author : xiajinqi
import pika
connetction = pika.BlockingConnection(pika.ConnectionParameters("localhost"))
channel = connetction.channel()
#channel.queue_declare(queue='hello1',durable='True') #
channel.exchange_declare(exchange='logs',exchange_type='fanout')
channel.basic_publish(exchange='logs',routing_key='',body='hello world!',properties=pika.BasicProperties(delivery_mode=))
print("消息已经发送")
channel.close()
#E:\RB\rabbitmq_server-3.7.\sbin\rabbitmqctl.bat list_queues
# Author : xiajinqi
import pika
import time
connetction = pika.BlockingConnection(pika.ConnectionParameters("localhost"))
channel = connetction.channel()
#channel.queue_declare(queue='hello2',durable="True") #避免生产者后启动，没有这个队列报错。所以在此申明
channel.exchange_declare(exchange='logs',exchange_type='fanout')
result = channel.queue_declare(exclusive='True') #客户端每次启动会随机生成一个队列
queue_name = result.method.queue # 获取随机生成的队列名
# exchange 绑定 queue
channel.queue_bind(exchange='logs',queue=queue_name)
def callback(ch,method,properties,body):
'''
:param ch: 管道对象内存地址
:param method: 发消息给谁的申明信息
:param properties:
:param body:
:return:
'''
print(ch,method,properties,body)
ch.basic_ack(delivery_tag=method.delivery_tag) #执行完以后告诉服务端
# time.sleep()
pass
## 申明收到调用callbak处理 no_ack 默认为false消息不会丢失，表示需要客户端回调函数处理完，主动告诉服务端已经处理完。为true断电消息会丢失
#channel.basic_consume(callback,queue='hello',no_ack='True')
channel.basic_consume(callback,queue=queue_name)
channel.basic_qos(prefetch_count=)
print("开始收消息")
channel.start_consuming()
6、direct 模式。
# Author : xiajinqi import pika
import sys
connetction = pika.BlockingConnection(pika.ConnectionParameters("localhost")) channel = connetction.channel() #channel.queue_declare(queue='hello1',durable='True') #
channel.exchange_declare(exchange='direct_logs',exchange_type='direct') serverity = sys.argv[] if len(sys.argv)> else 'info'
message = ''.join(sys.argv[:]) or 'hello world' channel.basic_publish(exchange='direct_logs',routing_key=serverity,body=message,properties=pika.BasicProperties(delivery_mode=)) print("消息已经发送") channel.close() # Author : xiajinqi
import pika
import time
import sys
connetction = pika.BlockingConnection(pika.ConnectionParameters("localhost")) channel = connetction.channel() #channel.queue_declare(queue='hello2',durable="True") #避免生产者后启动，没有这个队列报错。所以在此申明 channel.exchange_declare(exchange='direct_logs',exchange_type='direct') result = channel.queue_declare(exclusive='True') #客户端每次启动会随机生成一个队列 channel.exchange_declare(exchange='direct_logs',exchange_type='direct') serverity = sys.argv[:] if not serverity:
print("退出")
sys.exit() queue_name = result.method.queue # 获取随机生成的队列名 for st in serverity:
channel.queue_bind(exchange='direct_logs', queue=queue_name,routing_key=st) def callback(ch,method,properties,body):
'''
:param ch: 管道对象内存地址
:param method: 发消息给谁的申明信息
:param properties:
:param body:
:return:
'''
print(ch,method,properties,body)
ch.basic_ack(delivery_tag=method.delivery_tag) #执行完以后告诉服务端
# time.sleep()
pass ## 申明收到调用callbak处理 no_ack 默认为false消息不会丢失，表示需要客户端回调函数处理完，主动告诉服务端已经处理完。为true断电消息会丢失
#channel.basic_consume(callback,queue='hello',no_ack='True')
channel.basic_consume(callback,queue=queue_name) channel.basic_qos(prefetch_count=)
print("开始收消息") channel.start_consuming()
7、topic 模式 和 direct 可以动态匹配
# Author : xiajinqi import pika
import sys
connetction = pika.BlockingConnection(pika.ConnectionParameters("localhost")) channel = connetction.channel() #channel.queue_declare(queue='hello1',durable='True') #
channel.exchange_declare(exchange='direct_logs',exchange_type='topic') serverity = sys.argv[] if len(sys.argv)> else 'info'
message = ''.join(sys.argv[:]) or 'hello world' channel.basic_publish(exchange='direct_logs',routing_key=serverity,body=message,properties=pika.BasicProperties(delivery_mode=)) print("消息已经发送") channel.close()
8、