RabbitMQ（pika模块）

2024-10-20 18:59:42

RabbitMQ

基础

安装配置epel源

$ rpm -ivh http://dl.fedoraproject.org/pub/epel/6/i386/epel-release-6-8.noarch.rpm

安装erlang

$ yum -y install erlang

安装RabbitMQ

$ yum -y install rabbitmq-server

systemctl start/stop rabbitmq

pip install pika

or

easy_install pika

or

源码

https://pypi.python.org/pypi/pika

API基础操作

先来看看使用RabbitMQ之前，怎么实现消息队列：利用Queue和Thread，每线程往内存里的队列里put一个数，另一个程序再去内存队列里取数。

import Queue

import threading

message = Queue.Queue(10)

def producer(i):

while True:

message.put(i)

def consumer(i):

while True:

msg = message.get()

for i in range(12):

t = threading.Thread(target=producer, args=(i,))

t.start()

for i in range(10):

t = threading.Thread(target=consumer, args=(i,))

t.start()

import pika

# ######################### 生产者 #########################

connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.136.8'))

channel = connection.channel()


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import pika
 
# ########################## 消费者 ##########################
 
connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.136.8'))
channel = connection.channel()
 
channel.queue_declare(queue='hello')    #声明，队列名称，和producer创建的重复没有关系
 
def callback(ch, method, properties, body):
    print(" [x] Received %r" % body)
 
channel.basic_consume(callback,         

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[root@localhost ~]# netstat -ntp |grep beam
tcp6       0      0 192.168.136.8:5672      192.168.136.1:52587     ESTABLISHED 1146/beam


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import pika
#no-ack
########################### 消费者 ##########################
connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.136.8'))
channel = connection.channel()
 
channel.queue_declare(queue='hello')
 
def callback(ch, method, properties, body):
    print(" [x] Received %r" % body)
    import time
    time.sleep(10)
    print 'ok'
    ch.basic_ack(delivery_tag = method.delivery_tag)    #主动发送ack
    #打印‘ok’后才告诉MQ，这个消息已经处理完了。
 
channel.basic_consume(callback,
                      queue='hello',
                      no_ack=False)     #自动应答关闭，与channel.basic_ack共同使用
 
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming()







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import pika
 
#durable
########################## 生产者 #########################
 
connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.136.8'))
channel = connection.channel()
 
channel.queue_declare(queue='hello', durable=True)  #开启持久化
 
channel.basic_publish(exchange='',
                      routing_key='hello',
                      body='Hello World!',
                      properties=pika.BasicProperties(
                          delivery_mode=2, # make message persistent
                      ))
print(" [x] Sent 'Hello World!'")
connection.close()











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import pika
#durable
########################## 消费者 #########################
 
connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.136.8'))
channel = connection.channel()
 
# make message persistent
channel.queue_declare(queue='hello', durable=True)
 
 
def callback(ch, method, properties, body):
    print(" [x] Received %r" % body)
    import time
    time.sleep(10)
    print 'ok'
    ch.basic_ack(delivery_tag = method.delivery_tag)
 
channel.basic_consume(callback,
                      queue='hello',
                      no_ack=False)
 
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming()







消息获取顺序

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import pika
 
connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.211.55.4'))
channel = connection.channel()
 
# make message persistent
channel.queue_declare(queue='hello')
 
 
def callback(ch, method, properties, body):
    print(" [x] Received %r" % body)
    import time
    time.sleep(10)
    print 'ok'
    ch.basic_ack(delivery_tag = method.delivery_tag)
 
channel.basic_qos(prefetch_count=1)    

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# ######################### 发布者 #########################
import pika
import sys
 
connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.136.8'))
channel = connection.channel()
 
channel.exchange_declare(exchange='fanout_name',type='fanout')
 
message = ' '.join(sys.argv[1:]) or "info: Hello World!"
channel.basic_publish(exchange='

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# ########################## 订阅者1 ##########################
 
import pika
 
connection = pika.BlockingConnection(pika.ConnectionParameters(host='192.168.136.8'))
channel = connection.channel()
 
channel.exchange_declare(exchange='

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# ######################### 生产者 #########################
#关键字发送
import pika
import sys
 
connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='192.168.136.8'))
channel = connection.channel()
 
channel.exchange_declare(exchange='direct_logs',
                         type='direct')
 
 
message = 'Hello World!'
channel.basic_publish(exchange='direct_logs',
                      routing_key="yes", #"yes","no","db"
                      body=message)
print(" [x] Sent %r" % (message))
connection.close()






模拟两个消费者，一个消费者的队列是（"yes","db"），另一个消费者队列（"no","db"）。如果生产者发送的队列关键字是"yes"or"no"，其一匹配；如果生产者发送的队列关键字是"db"，则两个消费者都能接收到。









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########################### 消费者1 ##########################
import pika
import sys
  
connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='192.168.136.8'))
channel = connection.channel()
  
channel.exchange_declare(exchange='direct_logs',
                         type='direct')
  
result = channel.queue_declare(exclusive=True)
queue_name = result.method.queue
 
channel.queue_bind(exchange='direct_logs',
                       queue=queue_name,
                       routing_key='yes')
channel.queue_bind(exchange='direct_logs',
                       queue=queue_name,
                       routing_key='db')
  
print(' [*] Waiting for logs. To exit press CTRL+C')
  
def callback(ch, method, properties, body):
    print(" [x] %r:%r" % (method.routing_key, body))
  
channel.basic_consume(callback,
                      queue=queue_name,
                      no_ack=True)
  
channel.start_consuming()












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########################### 消费者2 ##########################
import pika
import sys
  
connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='192.168.136.8'))
channel = connection.channel()
  
channel.exchange_declare(exchange='direct_logs',
                         type='direct')
  
result = channel.queue_declare(exclusive=True)
queue_name = result.method.queue
 
channel.queue_bind(exchange='direct_logs',
                       queue=queue_name,
                       routing_key='no')
channel.queue_bind(exchange='direct_logs',
                       queue=queue_name,
                       routing_key='db')
  
print(' [*] Waiting for logs. To exit press CTRL+C')
  
def callback(ch, method, properties, body):
    print(" [x] %r:%r" % (method.routing_key, body))
  
channel.basic_consume(callback,
                      queue=queue_name,
                      no_ack=True)
  
channel.start_consuming()






2、模糊匹配
exchange type = topic
在topic类型下，可以让队列绑定几个模糊的关键字，之后发送者将数据发送到exchange，exchange将传入”路由值“和 ”关键字“进行匹配，匹配成功，则将数据发送到指定队列。
# 表示可以匹配

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发送者路由值              队列中
python.topic.cn          python.*  -- 不匹配
python.topic.cn          python.#  -- 匹配











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# ######################### 生产者 #########################
#模糊匹配
import pika
import sys
 
connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='192.168.136.8'))
channel = connection.channel()
 
channel.exchange_declare(exchange='topic_logs',
                         type='topic')
 
message = 'Hello World!'
channel.basic_publish(exchange='topic_logs',
                      routing_key="python.topic",
                      body=message)
print(" [x] Sent %r" % (message))
connection.close()






消费者1是‘*’匹配，消费者2是‘#’匹配：





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########################### 消费者1 ##########################
import pika
import sys
 
connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='192.168.136.8'))
channel = connection.channel()
 
channel.exchange_declare(exchange='topic_logs',
                         type='topic')
 
result = channel.queue_declare(exclusive=True)
queue_name = result.method.queue
 
channel.queue_bind(exchange='topic_logs',
                       queue=queue_name,
                       routing_key='python.*')     

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########################### 消费者2 ##########################
import pika
import sys
 
connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='192.168.136.8'))
channel = connection.channel()
 
channel.exchange_declare(exchange='topic_logs',
                         type='topic')
 
result = channel.queue_declare(exclusive=True)
queue_name = result.method.queue
 
channel.queue_bind(exchange='topic_logs',
                       queue=queue_name,
                       routing_key='python.#')    #匹配python.后所有单词
 
print(' [*] Waiting for topic_logs. To exit press CTRL+C')
 
def callback(ch, method, properties, body):
    print(" [x] %r:%r" % (method.routing_key, body))
 
channel.basic_consume(callback,
                      queue=queue_name,
                      no_ack=True)
 
channel.start_consuming()






从结果得出结论，如果生产者发送的routing_key是：
python.topic.cn    -->    只有消费者2能接收到
python.cn            -->    消费者1和消费者2都能接收到
python.                -->    消费者1和消费者2都能接收到
python                 -->    只有消费者2能接收到
网络搜索的概念：
Topic Exchange – 主题式交换器，通过消息的路由关键字和绑定关键字的模式匹配，将消息路由到被绑定的队列中。
这种路由器类型可以被用来支持经典的发布/订阅消息传输模型——使用主题名字空间作为消息寻址模式，将消息传递给那些部分或者全部匹配主题模式的多个消费者。
主题交换器类型的工作方式如下： 绑定关键字用零个或多个标记构成，每一个标记之间用“.”字符分隔。
绑定关键字必须用这种形式明确说明，并支持通配符：“*”匹配一个词组，“#”零个或多个词组。
因此绑定关键字“*.stock.#”匹配路由关键字“usd.stock”和“eur.stock.db”，但是不匹配“stock.nasdaq”
参考来源：http://www.cnblogs.com/wupeiqi/
来自为知笔记(Wiz)
												

																
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巴特西

RabbitMQ（pika模块）

RabbitMQ

基础

API基础操作

消息获取顺序

2、模糊匹配

最新文章

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