RabbitMQ基本使用

一、rabbitmq介绍

# 消息队列:MQ:消息队列就是基础数据结构中的“先进先出”的一种数据机构。想一下,生活中买东西,需要排队,先排的人先买消费,就是典型的“先进先出

# mq解决的问题:
    -应用解耦
    -流量削峰
    -消息分发
    -异步消息
# mq的比较
    -rabbitmq:消息准确性
    -kafka:吞吐量
    
# rabbitmq安装
	-Linux
    	# 安装配置epel源
        # 安装erlang
        yum -y install erlang
        # 安装RabbitMQ
        yum -y install rabbitmq-server
        
    -windows:https://blog.csdn.net/tirster/article/details/121938987
    	-erlang安装包
        -rabbitmq安装包

    -docker安装
    	-docker pull rabbitmq:management
	-docker run -di --name Myrabbitmq -e RABBITMQ_DEFAULT_USER=admin -e RABBITMQ_DEFAULT_PASS=admin -p 15672:15672 -p 5672:5672 rabbitmq:management
    	

    

二、rabbitmq基本使用

# python 操作
# pip3 install pika
import pika

# 没有用户名密码情况
# connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205',port=5672))

# 有密码的情况
credentials = pika.PlainCredentials("admin", "admin")
connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205', port=5672, credentials=credentials))
channel = connection.channel()

# 声明一个消息队列叫hello
channel.queue_declare(queue='hello')
# 往消息队列中放一条消息
# routing_key必须等于队列的名字,body是发送的消息
channel.basic_publish(exchange='', routing_key='hello', body='xxx')
print("Sent 'llnb'")
connection.close()

import pika, sys, os

def main():
    credentials = pika.PlainCredentials("admin", "admin")
    connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205', port=5672, credentials=credentials))
    channel = connection.channel()

    # 创建一个hello的对列
    channel.queue_declare(queue='hello')

    def callback(ch, method, properties, body):
        print(" [x] Received %r" % body)

    channel.basic_consume(queue='hello', on_message_callback=callback, auto_ack=True)

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


if __name__ == '__main__':
    main()

三、ack机制

# 消费者收到消息后,要回复给消息队列,消息队列收到回复,该消息就删除,如果收不到,就一直放在消息队列中,再起一个消费者,还会消费这个消息
import pika

# 没有用户名密码情况
# connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205',port=5672))

# 有密码的情况
credentials = pika.PlainCredentials("admin", "admin")
connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205', port=5672, credentials=credentials))
channel = connection.channel()

# 声明一个消息队列叫hello
channel.queue_declare(queue='hello')
# 往消息队列中放一条消息
# routing_key必须等于队列的名字,body是发送的消息
channel.basic_publish(exchange='', routing_key='hello', body='xxx')
print("Sent 'llnb'")
connection.close()

import pika, sys, os

def main():
    credentials = pika.PlainCredentials("admin", "admin")
    connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205', port=5672, credentials=credentials))
    channel = connection.channel()

    # 创建一个hello的对列
    channel.queue_declare(queue='hello')

    def callback(ch, method, properties, body):
        # raise Exception('sss')
        print(" [x] Received %r" % body)
        # 逻辑执行完了,落盘了,在回复ack
        ch.basic_ack(delivery_tag=method.delivery_tag)


    channel.basic_consume(queue='hello', on_message_callback=callback, auto_ack=False)

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


if __name__ == '__main__':
    main()


四、持久化

# 消息丢失:放在内存中,rabbimq服务挂掉,消息就没了,通过持久化,保证队列和消息都不丢失
# 队列持久化要是一个新队列
import pika, sys, os

def main():
    credentials = pika.PlainCredentials("admin", "admin")
    connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205', port=5672, credentials=credentials))
    channel = connection.channel()

    # 创建一个hello的对列
    channel.queue_declare(queue='hello')

    def callback(ch, method, properties, body):
        # raise Exception('sss')
        print(" [x] Received %r" % body)
        # 逻辑执行完了,落盘了,在回复ack
        ch.basic_ack(delivery_tag=method.delivery_tag)


    channel.basic_consume(queue='hello', on_message_callback=callback, auto_ack=False)

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


if __name__ == '__main__':
    main()


import pika

# 没有用户名密码情况
# connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205',port=5672))

# 有密码的情况
credentials = pika.PlainCredentials("admin", "admin")
connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205', port=5672, credentials=credentials))
channel = connection.channel()

# 声明一个消息队列叫hello,对队列进行持久化
channel.queue_declare(queue='lqz', durable=True)
# 往消息队列中放一条消息
# routing_key必须等于队列的名字,body是发送的消息
channel.basic_publish(exchange='', routing_key='lqz', body='xxx', properties=pika.BasicProperties(
    delivery_mode=2,  # make message persistent,消息也持久化
))
print("Sent 'llnb'")
connection.close()

五、闲置消费

# 如果消息队列中有多条消息,消费者有两个---》第一个取一个消息消费,第二个消费者取第二个消息消费,第一个消费取第三个消息消费
import pika

# 没有用户名密码情况
# connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205',port=5672))

# 有密码的情况
credentials = pika.PlainCredentials("admin", "admin")
connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205', port=5672, credentials=credentials))
channel = connection.channel()

# 声明一个消息队列叫hello,对队列进行持久化
channel.queue_declare(queue='hello')
# 往消息队列中放一条消息
# routing_key必须等于队列的名字,body是发送的消息
channel.basic_publish(exchange='', routing_key='hello', body='3333')
print("Sent 'xxx'")
connection.close()

import pika, sys, os

def main():
    credentials = pika.PlainCredentials("admin", "admin")
    connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.0.0.205', port=5672, credentials=credentials))
    channel = connection.channel()

    # 创建一个hello的对列
    channel.queue_declare(queue='hello')

    def callback(ch, method, properties, body):
        # raise Exception('sss')
        print(" [x] Received %r" % body)
        # 逻辑执行完了,落盘了,在回复ack
        ch.basic_ack(delivery_tag=method.delivery_tag)

    channel.basic_qos(prefetch_count=1) # 哪个消费者空闲,就会去消费消息
    channel.basic_consume(queue='hello', on_message_callback=callback, auto_ack=False)

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


if __name__ == '__main__':
    main()

六、发布订阅

七、rpc

posted @ 2022-08-25 16:39  马氵寿  阅读(66)  评论(0编辑  收藏  举报