python隊(duì)列通信:rabbitMQ的使用(實(shí)例講解)
(一)、前言
為什么引入消息隊(duì)列?
1.程序解耦
2.提升性能
3.降低多業(yè)務(wù)邏輯復(fù)雜度
(二)、python操作rabbit mq
rabbitmq配置安裝基本使用參見上節(jié)文章,不再復(fù)述。
若想使用python操作rabbitmq,需安裝pika模塊,直接pip安裝:
pip install pika
1.最簡單的rabbitmq producer端與consumer端對(duì)話:
producer:
#Author :ywq
import pika
auth=pika.PlainCredentials('ywq','qwe') #save auth indo
connection = pika.BlockingConnection(pika.ConnectionParameters(
'192.168.0.158',5672,'/',auth)) #connect to rabbit
channel = connection.channel() #create channel
channel.queue_declare(queue='hello') #declare queue
#n RabbitMQ a message can never be sent directly to the queue, it always needs to go through an exchange.
channel.basic_publish(exchange='',
routing_key='hello',
body='Hello World!') #the body is the msg content
print(" [x] Sent 'Hello World!'")
connection.close()
consumer:
#Author :ywq
import pika
auth=pika.PlainCredentials('ywq','qwe') #auth info
connection = pika.BlockingConnection(pika.ConnectionParameters(
'192.168.0.158',5672,'/',auth)) #connect to rabbit
channel = connection.channel() #create channel
channel.queue_declare(queue='hello') #decalre queue
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
channel.basic_consume(callback,
queue='hello',
no_ack=True)
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming()
消息傳遞消費(fèi)過程中,可以在rabbit web管理頁面實(shí)時(shí)查看隊(duì)列消息信息。

2.持久化的消息隊(duì)列,避免宕機(jī)等意外情況造成消息隊(duì)列丟失。
consumer端無需改變,在producer端代碼內(nèi)加上兩個(gè)屬性,分別使消息持久化、隊(duì)列持久化,只選其一還是會(huì)出現(xiàn)消息丟失,必須同時(shí)開啟:
delivery_mode=2 #make msg persisdent durable=True
屬性插入位置見如下代碼(producer端):
#Author :ywq
import pika,sys
auth_info=pika.PlainCredentials('ywq','qwe')
connection=pika.BlockingConnection(pika.ConnectionParameters(
'192.168.0.158',5672,'/',auth_info
))
channel=connection.channel()
channel.queue_declare(queue='test1',durable=True) #durable=Ture, make queue persistent
msg=''.join(sys.argv[1:]) or 'Hello'
channel.basic_publish(
exchange='',
routing_key='test1',
body=msg,
properties=pika.BasicProperties(
delivery_mode=2 #make msg persisdent
)
)
print('Send done:',msg)
connection.close()
3.公平分發(fā)
在多consumer的情況下,默認(rèn)rabbit是輪詢發(fā)送消息的,但有的consumer消費(fèi)速度快,有的消費(fèi)速度慢,為了資源使用更平衡,引入ack確認(rèn)機(jī)制。consumer消費(fèi)完消息后會(huì)給rabbit發(fā)送ack,一旦未ack的消息數(shù)量超過指定允許的數(shù)量,則不再往該consumer發(fā)送,改為發(fā)送給其他consumer。
producer端代碼不用改變,需要給consumer端代碼插入兩個(gè)屬性:
channel.basic_qos(prefetch_count= *) #define the max non_ack_count channel.basic_ack(delivery_tag=deliver.delivery_tag) #send ack to rabbitmq
屬性插入位置見如下代碼(consumer端):
#Author :ywq
import pika,time
auth_info=pika.PlainCredentials('ywq','qwe')
connection=pika.BlockingConnection(pika.ConnectionParameters(
'192.168.0.158',5672,'/',auth_info
)
)
channel=connection.channel()
channel.queue_declare(queue='test2',durable=True)
def callback(chann,deliver,properties,body):
print('Recv:',body)
time.sleep(5)
chann.basic_ack(delivery_tag=deliver.delivery_tag) #send ack to rabbit
channel.basic_qos(prefetch_count=1)
'''
注意,no_ack=False 注意,這里的no_ack類型僅僅是告訴rabbit該消費(fèi)者隊(duì)列是否返回ack,若要返回ack,需要在callback內(nèi)定義
prefetch_count=1,未ack的msg數(shù)量超過1個(gè),則此consumer不再接受msg,此配置需寫在channel.basic_consume上方,否則會(huì)造成non_ack情況出現(xiàn)。
'''
channel.basic_consume(
callback,
queue='test2'
)
channel.start_consuming()
三、消息發(fā)布/訂閱
上方的幾種模式都是producer端發(fā)送一次,則consumer端接收一次,能不能實(shí)現(xiàn)一個(gè)producer發(fā)送,多個(gè)關(guān)聯(lián)的consumer同時(shí)接收呢?of course,rabbit支持消息發(fā)布訂閱,共支持三種模式,通過組件exchange轉(zhuǎn)發(fā)器,實(shí)現(xiàn)3種模式:

fanout: 所有bind到此exchange的queue都可以接收消息,類似廣播。
direct: 通過routingKey和exchange決定的哪個(gè)唯一的queue可以接收消息,推送給綁定了該queue的consumer,類似組播。
topic:所有符合routingKey(此時(shí)可以是一個(gè)表達(dá)式)的routingKey所bind的queue可以接收消息,類似前綴列表匹配路由。
1.fanout
publish端(producer):
#Author :ywq
import pika,sys,time
auth_info=pika.PlainCredentials('ywq','qwe')
connection=pika.BlockingConnection(pika.ConnectionParameters(
'192.168.0.158',5672,'/',auth_info
)
)
channel=connection.channel()
channel.exchange_declare(exchange='hello',
exchange_type='fanout'
)
msg=''.join(sys.argv[1:]) or 'Hello world %s' %time.time()
channel.basic_publish(
exchange='hello',
routing_key='',
body=msg,
properties=pika.BasicProperties(
delivery_mode=2
)
)
print('send done')
connection.close()
subscribe端(consumer):
#Author :ywq
import pika
auth_info=pika.PlainCredentials('ywq','qwe')
connection=pika.BlockingConnection(pika.ConnectionParameters(
'192.168.0.158',5672,'/',auth_info
)
)
channel=connection.channel()
channel.exchange_declare(
exchange='hello',
exchange_type='fanout'
)
random_num=channel.queue_declare(exclusive=True) #隨機(jī)與rabbit建立一個(gè)queue,comsumer斷開后,該queue立即刪除釋放
queue_name=random_num.method.queue
channel.basic_qos(prefetch_count=1)
channel.queue_bind(
queue=queue_name,
exchange='hello'
)
def callback(chann,deliver,properties,body):
print('Recv:',body)
chann.basic_ack(delivery_tag=deliver.delivery_tag) #send ack to rabbit
channel.basic_consume(
callback,
queue=queue_name,
)
channel.start_consuming()
實(shí)現(xiàn)producer一次發(fā)送,多個(gè)關(guān)聯(lián)consumer接收。
使用exchange模式時(shí):
1.producer端不再申明queue,直接申明exchange
2.consumer端仍需綁定隊(duì)列并指定exchange來接收message
3.consumer最好創(chuàng)建隨機(jī)queue,使用完后立即釋放。
隨機(jī)隊(duì)列名在web下可以檢測到:

2.direct

使用exchange同時(shí)consumer有選擇性的接收消息。隊(duì)列綁定關(guān)鍵字,producer將數(shù)據(jù)根據(jù)關(guān)鍵字發(fā)送到消息exchange,exchange根據(jù) 關(guān)鍵字 判定應(yīng)該將數(shù)據(jù)發(fā)送至指定隊(duì)列,consumer相應(yīng)接收。即在fanout基礎(chǔ)上增加了routing key.
producer:
#Author :ywq
import pika,sys
auth_info=pika.PlainCredentials('ywq','qwe')
connection=pika.BlockingConnection(pika.ConnectionParameters(
'192.168.0.158',5672,'/',auth_info
)
)
channel=connection.channel()
channel.exchange_declare(exchange='direct_log',
exchange_type='direct',
)
while True:
route_key=input('Input routing key:')
msg=''.join(sys.argv[1:]) or 'Hello'
channel.basic_publish(
exchange='direct_log',
routing_key=route_key,
body=msg,
properties=pika.BasicProperties(
delivery_mode=2
)
)
connection.close()
consumer:
#Author :ywq
import pika,sys
auth_info=pika.PlainCredentials('ywq','qwe')
connection=pika.BlockingConnection(pika.ConnectionParameters(
'192.168.0.158',5672,'/',auth_info
))
channel=connection.channel()
channel.exchange_declare(
exchange='direct_log',
exchange_type='direct'
)
queue_num=channel.queue_declare(exclusive=True)
queue_name=queue_num.method.queue
route_key=input('Input routing key:')
channel.queue_bind(
queue=queue_name,
exchange='direct_log',
routing_key=route_key
)
def callback(chann,deliver,property,body):
print('Recv:[level:%s],[msg:%s]' %(route_key,body))
chann.basic_ack(delivery_tag=deliver.delivery_tag)
channel.basic_qos(prefetch_count=1)
channel.basic_consume(
callback,
queue=queue_name
)
channel.start_consuming()
同時(shí)開啟多個(gè)consumer,其中兩個(gè)接收notice,兩個(gè)接收warning,運(yùn)行效果如下:

3.topic

相較于direct,topic能實(shí)現(xiàn)模糊匹配式工作方式(在consumer端指定匹配方式),只要routing key包含指定的關(guān)鍵字,則將該msg發(fā)往綁定的queue上。
rabbitmq通配符規(guī)則:
符號(hào)“#”匹配一個(gè)或多個(gè)詞,符號(hào)“”匹配一個(gè)詞。因此“abc.#”能夠匹配到“abc.m.n”,但是“abc.*‘' 只會(huì)匹配到“abc.m”?!?'號(hào)為分割符。使用通配符匹配時(shí)必須使用‘.'號(hào)分割。
producer:
#Author :ywq
import pika,sys
auth_info=pika.PlainCredentials('ywq','qwe')
connection=pika.BlockingConnection(pika.ConnectionParameters(
'192.168.0.158',5672,'/',auth_info
)
)
channel=connection.channel()
channel.exchange_declare(exchange='topic_log',
exchange_type='topic',
)
while True:
route_key=input('Input routing key:')
msg=''.join(sys.argv[1:]) or 'Hello'
channel.basic_publish(
exchange='topic_log',
routing_key=route_key,
body=msg,
properties=pika.BasicProperties(
delivery_mode=2
)
)
connection.close()
consumer:
#Author :ywq
import pika,sys
auth_info=pika.PlainCredentials('ywq','qwe')
connection=pika.BlockingConnection(pika.ConnectionParameters(
'192.168.0.158',5672,'/',auth_info
))
channel=connection.channel()
channel.exchange_declare(
exchange='topic_log',
exchange_type='topic'
)
queue_num=channel.queue_declare(exclusive=True)
queue_name=queue_num.method.queue
route_key=input('Input routing key:')
channel.queue_bind(
queue=queue_name,
exchange='topic_log',
routing_key=route_key
)
def callback(chann,deliver,property,body):
print('Recv:[type:%s],[msg:%s]' %(route_key,body))
chann.basic_ack(delivery_tag=deliver.delivery_tag)
channel.basic_qos(prefetch_count=1)
channel.basic_consume(
callback,
queue=queue_name
)
channel.start_consuming()
運(yùn)行效果:

rabbitmq三種publish/subscribe模型簡單介紹完畢。
以上這篇python隊(duì)列通信:rabbitMQ的使用(實(shí)例講解)就是小編分享給大家的全部內(nèi)容了,希望能給大家一個(gè)參考,也希望大家多多支持腳本之家。
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