RabbitMQ概述
MQ全称为Message Queue，消息队列是应用程序和应用程序之间的通信方法；
RabbitMQ是开源的，实现了AMQP协议的，采用Erlang(面向并发编程语言)编写的，可复用的企业级消息系统；
AMQP（高级消息队列协议）是一个异步消息传递所使用应用层协议规范，为面向消息中间件设计，基于此协议的客户端与消息中间件可以无视消息来源传递消息，不受客户端、消息中间件、不同的开发语言环境等条件的限制；
支持主流操作系统：Linux、Windows，MacOX等；
支持多种客户端开发语言：Java、Python、Ruby、.NET，PHP、C/C++、Node.js等
2.RabbitMQ安装
centos上安装
1.安装前准备
wget http://dl.fedoraproject.org/pub/epel/6/x86_64/epel-release-6-8.noarch.rpm
rpm -ivh epel-release-6-8.noarch.rpm
wget -P /etc/yum.repos.d/ http://repos.fedorapeople.org/repos/peter/erlang/epel-erlang.repo
yum clean all
yum -y install erlang
2.安装rabbitmq
rpm --import http://www.rabbitmq.com/rabbitmq-signing-key-public.asc
wget http://www.rabbitmq.com/releases/rabbitmq-server/v2.8.5/rabbitmq-server-2.8.5-1.noarch.rpm
rpm -ivh rabbitmq-server-2.8.5-1.noarch.rpm
3.启动rabbitmq并设置开机启动
systemctl start rabbitmq-server
chkconfig rabbitmq-server on
4.检查rabbitmq是否启动
ps aux|grep rabbitmq 或者 systemctl status rabbitmq-server
5.开启web管理页面
rabbitmq-plugins enable rabbitmq_management
service rabbitmq-server restart
6.防火墙开放15672端口
/sbin/iptables -I INPUT -p tcp --dport 15672 -j ACCEPT
/etc/rc.d/init.d/iptables save
mac
brew install rabbitmq
2.基本使用
1.启动rabbitmq-server
2.在rabbitmq server上创建一个用户
rabbitmqctl add_user zou 123
3.配置权限，允许从外面访问
rabbitmqctl set_permissions -p / zou ".*" ".*" ".*"
4.查看当前队列
rabbitmqctl list_queues
基本模型
producer
import pika
# 和本地服务器建立连接
credentials = pika.PlainCredentials("zou","123")
parameters = pika.ConnectionParameters(host="192.168.56.10", credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel()
# 声明队列名
channel.queue_declare(queue="hello")
# 在 RabbitMQ 中，消息并不能直接发送到队列中，而总会被传递给代理（exchange）
# 我们可以在参数中将 exchange 设定为空字符串，
# 则可以使用一个默认的 exchange。这个 exchange 非常特殊：
# 允许我们指定使用哪个队列，我们可以使用 routing_key 参数指定队列名称：
channel.basic_publish(
exchange="",
routing_key="hello",
body="fuck you",
)
print("Send 'fuck you' ")
# 关闭连接
connection.close()
consumer
import pika
credentials = pika.PlainCredentials('zou', '123')
parameters = pika.ConnectionParameters(host='192.168.56.10', credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel() # 队列连接通道
channel.queue_declare(queue="hello")
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
channel.basic_consume(callback, # 取到消息后，调用callback 函数
queue='hello',
no_ack=True)
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming() # 阻塞模式
Work Queues
消息持久化
消息的可靠性是RabbitMQ的一大特色，那么RabbitMQ是如何保证消息可靠性的呢——消息持久化。
为了保证RabbitMQ在退出或者crash等异常情况下数据没有丢失，需要将queue，exchange和Message都持久化。
channel.queue_declare(queue="hello3",durable=True)
channel.basic_publish(
exchange="",
routing_key="hello3",
body=message,
properties=pika.BasicProperties(
delivery_mode=2 # 使消息持久化，rabbitmq挂了，队列消息仍在
)
)
消息公平分发
如果Rabbit只管按顺序把消息发到各个消费者身上，不考虑消费者负载的话，很可能出现，一个机器配置不高的消费者那里堆积了很多消息处理不完，同时配置高的消费者却一直很轻松。为解决此问题，可以在各个消费者端，配置perfetch=1,意思就是告诉RabbitMQ在我这个消费者当前消息还没处理完的时候就不要再给我发新消息了。
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消息持久化+公平分发的完整代码
Producer
import pika,time
# 和本地服务器建立连接
credentials = pika.PlainCredentials("zou","123")
parameters = pika.ConnectionParameters(host="192.168.56.10", credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel()
# 声明队列名
channel.queue_declare(queue="hello3",durable=True) # 队列持久化
import sys
message = ' '.join(sys.argv[1:]) or "Hello World! %s" % time.time()
channel.basic_publish(
exchange="",
routing_key="hello3",
body=message,
properties=pika.BasicProperties(
delivery_mode=2 # 使消息持久化，rabbitmq挂了，队列消息仍在
)
)
print("[p] Send %s " % (message))
# 关闭连接
connection.close()
consumer
import pika,time
credentials = pika.PlainCredentials('zou', '123')
parameters = pika.ConnectionParameters(host='192.168.56.10', credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel() # 队列连接通道
# channel.queue_declare(queue="hello3")
def callback(ch, method, properties, body):
print(" [x] Received %s" % body)
time.sleep(6)
print(" [x] Done")
# print("method.delivery_tag",method.delivery_tag)
ch.basic_ack(delivery_tag=method.delivery_tag)
channel.basic_qos(prefetch_count=1)
channel.basic_consume(callback, # 取到消息后，调用callback 函数
queue='hello3',
)
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming() # 阻塞模式
Publish\Subscribe(消息发布\订阅)
fanout: 所有bind到此exchange的queue都可以接收消息
direct: 通过routingKey和exchange决定的那个唯一的queue可以接收消息
topic:所有符合routingKey(此时可以是一个表达式)的routingKey所bind的queue可以接收消息
广播模式
Prodcer
import pika,time
# 和本地服务器建立连接
credentials = pika.PlainCredentials("zou","123")
parameters = pika.ConnectionParameters(host="192.168.56.10", credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel()
# 声明队列名
# channel.queue_declare(queue="hello3",durable=True)
channel.exchange_declare(exchange='logs',type='fanout') # 广播模式
import sys
message = ' '.join(sys.argv[1:]) or "Hello World! %s" % time.time()
channel.basic_publish(
exchange="logs",
routing_key="",
body=message,
properties=pika.BasicProperties(
delivery_mode=2 # 使消息持久化，rabbitmq挂了，队列消息仍在
)
)
print("[p] Send %s " % (message))
# 关闭连接
connection.close()
consumer
import pika,time
credentials = pika.PlainCredentials('zou', '123')
parameters = pika.ConnectionParameters(host='192.168.56.10', credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel() # 队列连接通道
#不指定queue名字,rabbit会随机分配一个名字,
# exclusive=True会在使用此queue的消费者断开后,自动将queue删除
channel.exchange_declare(exchange='logs',type='fanout')
result = channel.queue_declare(exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='logs',
queue=queue_name)
def callback(ch, method, properties, body):
print(" [x] Received %s" % body)
time.sleep(1)
print(" [x] Done")
# print("method.delivery_tag",method.delivery_tag)
ch.basic_ack(delivery_tag=method.delivery_tag) # 代表消费完毕
channel.basic_qos(prefetch_count=1)
channel.basic_consume(callback, # 取到消息后，调用callback 函数
queue=queue_name,
)
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming() # 阻塞模式
组播
Producer
__author__ = 'Administrator'
import pika
import sys
credentials = pika.PlainCredentials('alex', 'alex3714')
parameters = pika.ConnectionParameters(host='192.168.11.106',credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel() #队列连接通道
channel.exchange_declare(exchange='direct_log',type='direct')
log_level = sys.argv[1] if len(sys.argv) > 1 else 'info'
message = ' '.join(sys.argv[1:]) or "info: Hello World!"
channel.basic_publish(exchange='direct_log',
routing_key=log_level,
body=message)
print(" [x] Sent %r" % message)
connection.close()
consumer
__author__ = 'Administrator'
import pika,sys
credentials = pika.PlainCredentials('alex', 'alex3714')
parameters = pika.ConnectionParameters(host='192.168.11.106',credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel() #队列连接通道
queue_obj = channel.queue_declare(exclusive=True) #不指定queue名字,rabbit会随机分配一个名字,exclusive=True会在使用此queue的消费者断开后,自动将queue删除
queue_name = queue_obj.method.queue
print('queue name',queue_name,queue_obj)
log_levels = sys.argv[1:] # info warning errr
if not log_levels:
sys.stderr.write("Usage: %s [info] [warning] [error]\n" % sys.argv[0])
sys.exit(1)
for level in log_levels:
channel.queue_bind(exchange='direct_log',
queue=queue_name,
routing_key=level) #绑定队列到Exchange
print(' [*] Waiting for logs. To exit press CTRL+C')
def callback(ch, method, properties, body):
print(" [x] %r" % body)
channel.basic_consume(callback,queue=queue_name, no_ack=True)
channel.start_consuming()
Topic播
producer
import pika
import sys
credentials = pika.PlainCredentials('alex', 'alex3714')
parameters = pika.ConnectionParameters(host='192.168.11.106',credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel() #队列连接通道
channel.exchange_declare(exchange='topic_log',type='topic')
#log_level = sys.argv[1] if len(sys.argv) > 1 else 'info'
log_level = sys.argv[1] if len(sys.argv) > 1 else 'all.info'
message = ' '.join(sys.argv[1:]) or "all.info: Hello World!"
channel.basic_publish(exchange='topic_log',
routing_key=log_level,
body=message)
print(" [x] Sent %r" % message)
connection.close()
consumer
import pika,sys
credentials = pika.PlainCredentials('alex', 'alex3714')
parameters = pika.ConnectionParameters(host='192.168.11.106',credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel() #队列连接通道
queue_obj = channel.queue_declare(exclusive=True) #不指定queue名字,rabbit会随机分配一个名字,exclusive=True会在使用此queue的消费者断开后,自动将queue删除
queue_name = queue_obj.method.queue
log_levels = sys.argv[1:] # info warning errr
if not log_levels:
sys.stderr.write("Usage: %s [info] [warning] [error]\n" % sys.argv[0])
sys.exit(1)
for level in log_levels:
channel.queue_bind(exchange='topic_log',
queue=queue_name,
routing_key=level) #绑定队列到Exchange
print(' [*] Waiting for logs. To exit press CTRL+C')
def callback(ch, method, properties, body):
print(" [x] %r" % body)
channel.basic_consume(callback,queue=queue_name, no_ack=True)
channel.start_consuming()
Remote procedure call (RPC)
Rpc-Server
__author__ = 'Administrator'
#1 。 定义fib函数
#2. 声明接收指令的队列名rpc_queue
#3. 开始监听队列，收到消息后 调用fib函数
#4 把fib执行结果，发送回客户端指定的reply_to 队列
import subprocess
import pika
import time
credentials = pika.PlainCredentials('zou', '123')
parameters = pika.ConnectionParameters(host='192.168.56.10',credentials=credentials)
connection = pika.BlockingConnection(parameters)
channel = connection.channel() #队列连接通道
channel.queue_declare(queue='rpc_queue2')
def fib(n):
if n == 0:
return 0
elif n == 1:
return 1
else:
return fib(n-1) + fib(n-2)
def run_cmd(cmd):
cmd_obj = subprocess.Popen(cmd,shell=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE)
result = cmd_obj.stdout.read() + cmd_obj.stderr.read()
return result
def on_request(ch, method, props, body):
cmd = body.decode("utf-8")
print(" [.] run (%s)" % cmd)
response = run_cmd(cmd)
ch.basic_publish(exchange='',
routing_key=props.reply_to, #队列
properties=pika.BasicProperties(correlation_id = \
props.correlation_id),
body=response)
ch.basic_ack(delivery_tag = method.delivery_tag)
channel.basic_consume(on_request, queue='rpc_queue2')
print(" [x] Awaiting RPC requests")
channel.start_consuming()
Rpc-Client
# 1.声明一个队列，作为reply_to返回消息结果的队列
# 2. 发消息到队列，消息里带一个唯一标识符uid，reply_to
# 3. 监听reply_to 的队列，直到有结果
import queue
import pika
import uuid
class CMDRpcClient(object):
def __init__(self):
credentials = pika.PlainCredentials('zou', '123')
parameters = pika.ConnectionParameters(host='192.168.11.106',credentials=credentials)
self.connection = pika.BlockingConnection(parameters)
self.channel = self.connection.channel()
result = self.channel.queue_declare(exclusive=True)
self.callback_queue = result.method.queue #命令的执行结果的queue
#声明要监听callback_queue
self.channel.basic_consume(self.on_response, no_ack=True,
queue=self.callback_queue)
def on_response(self, ch, method, props, body):
"""
收到服务器端命令结果后执行这个函数
:param ch:
:param method:
:param props:
:param body:
:return:
"""
if self.corr_id == props.correlation_id:
self.response = body.decode("gbk") #把执行结果赋值给Response
def call(self, n):
self.response = None
self.corr_id = str(uuid.uuid4()) #唯一标识符号
self.channel.basic_publish(exchange='',
routing_key='rpc_queue2',
properties=pika.BasicProperties(
reply_to = self.callback_queue,
correlation_id = self.corr_id,
),
body=str(n))
while self.response is None:
self.connection.process_data_events() # 检测监听的队列里有没有新消息，如果有，收，如果没有，返回None
#检测有没有要发送的新指令
return self.response
cmd_rpc = CMDRpcClient()
print(" [x] Requesting fib(30)")
response = cmd_rpc.call('ipconfig')
print(response)
