MQ全稱爲Message Queue, 消息隊列(MQ)是一種應用程序對應用程序的通訊方法。應用程序經過讀寫出入隊列的消息(針對應用程序的數據)來通訊,而無需專用鏈接來連接它們。消 息傳遞指的是程序之間經過在消息中發送數據進行通訊,而不是經過直接調用彼此來通訊,直接調用一般是用於諸如遠程過程調用的技術。排隊指的是應用程序經過 隊列來通訊。隊列的使用除去了接收和發送應用程序同時執行的要求。python
RabbitMQ是一個在AMQP基礎上完整的,可複用的企業消息系統。他遵循Mozilla Public License開源協議api
RabbitMQ是一個消息代理:它接受和轉發消息。 您能夠將其視爲順豐快遞:當您將要發佈的消息快件給到順豐快遞手上,您能夠肯定順豐以及快遞小哥最終會將郵件發送給您的收件人。 在這個類比中,RabbitMQ是一個順豐快遞、快遞小哥、豐巢。服務器
RabbitMQ和順豐之間的主要區別在於它不處理實體貨物信件,而是接受,存儲和轉發二進制數據——消息。fetch
RabbitMQ和通常的消息傳遞使用了一些術語:3d
生產(Producing)就是發送(消息)。 發送消息的程序就所謂的生產者(producer )代理
隊列(queue )是RabbitMQ中的郵箱的名稱。 雖然消息流經RabbitMQ和您的應用程序,但它們只能存儲在隊列中。 隊列只受主機的內存和磁盤限制的約束,它本質上是一個大的消息緩衝區。 許多生產者能夠發送到一個隊列的消息,而且許多消費者能夠嘗試從一個隊列接收數據。 這就是咱們表明隊列的方式:rest
消費(Consuming )與接受(receiving)有相似的意義。 消費者(consumer )是一個主要等待接收消息的程序:code
請注意,生產者,消費者和代理沒必要駐留在同一主機上; 實際上在大多數應用中他們沒有。 應用程序也能夠是生產者和消費者。server
安裝配置epel源 $ rpm -ivh http://dl.fedoraproject.org/pub/epel/6/i386/epel-release-6-8.noarch.rpm 安裝erlang $ yum -y install erlang 安裝RabbitMQ $ yum -y install rabbitmq-server
注意:service rabbitmq-server start/stophtm
安裝API
pip install pika or easy_install pika or 源碼 https://pypi.python.org/pypi/pika
回顧基於Queue實現生產者消費者模型
#!/usr/bin/env python # -*- coding:utf-8 -*- 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()
對於RabbitMQ來講,生產和消費再也不針對內存裏的一個Queue對象,而是某臺服務器上的RabbitMQ Server實現的消息隊列
生產者:
#!/usr/bin/env python import pika # ######################### 生產者 ######################### connection = pika.BlockingConnection(pika.ConnectionParameters( host='localhost')) channel = connection.channel() channel.queue_declare(queue='hello') channel.basic_publish(exchange='', routing_key='hello', body='Hello World!') print(" [x] Sent 'Hello World!'") connection.close()
消費者:
#!/usr/bin/env python import pika # ########################## 消費者 ########################## connection = pika.BlockingConnection(pika.ConnectionParameters( host='localhost')) channel = connection.channel() channel.queue_declare(queue='hello') 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()
no-ack = False,若是消費者遇到狀況(its channel is closed, connection is closed, or TCP connection is lost)掛掉了,那麼,RabbitMQ會從新將該任務添加到隊列中。
import pika connection = pika.BlockingConnection(pika.ConnectionParameters( host='10.211.55.4')) 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) channel.basic_consume(callback, queue='hello', no_ack=False) print(' [*] Waiting for messages. To exit press CTRL+C') channel.start_consuming()
生產者:
#!/usr/bin/env python import pika connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.211.55.4')) channel = connection.channel() # make message persistent channel.queue_declare(queue='hello', durable=True) 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()
消費者:
#!/usr/bin/env python # -*- coding:utf-8 -*- import pika connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.211.55.4')) 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()
默認消息隊列裏的數據是按照順序被消費者拿走,例如:消費者1 去隊列中獲取 奇數 序列的任務,消費者1去隊列中獲取 偶數 序列的任務。
channel.basic_qos(prefetch_count=1) 表示誰來誰取,再也不按照奇偶數排列
消費者:
#!/usr/bin/env python # -*- coding:utf-8 -*- 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) channel.basic_consume(callback, queue='hello', no_ack=False) print(' [*] Waiting for messages. To exit press CTRL+C') channel.start_consuming()
發佈訂閱和簡單的消息隊列區別在於,發佈訂閱會將消息發送給全部的訂閱者,而消息隊列中的數據被消費一次便消失。因此,RabbitMQ實現發佈和訂閱時,會爲每個訂閱者建立一個隊列,而發佈者發佈消息時,會將消息放置在全部相關隊列中。
exchange type = fanout
#!/usr/bin/env python import pika import sys connection = pika.BlockingConnection(pika.ConnectionParameters( host='localhost')) channel = connection.channel() channel.exchange_declare(exchange='logs', type='fanout') message = ' '.join(sys.argv[1:]) or "info: Hello World!" channel.basic_publish(exchange='logs', routing_key='', body=message) print(" [x] Sent %r" % message) connection.close()
#!/usr/bin/env python import pika connection = pika.BlockingConnection(pika.ConnectionParameters( host='localhost')) channel = connection.channel() 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) 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()
exchange type = direct
以前事例,發送消息時明確指定某個隊列並向其中發送消息,RabbitMQ還支持根據關鍵字發送,即:隊列綁定關鍵字,發送者將數據根據關鍵字發送到消息exchange,exchange根據 關鍵字 斷定應該將數據發送至指定隊列。
#!/usr/bin/env python import pika import sys connection = pika.BlockingConnection(pika.ConnectionParameters( host='localhost')) channel = connection.channel() channel.exchange_declare(exchange='direct_logs', type='direct') result = channel.queue_declare(exclusive=True) queue_name = result.method.queue severities = sys.argv[1:] if not severities: sys.stderr.write("Usage: %s [info] [warning] [error]\n" % sys.argv[0]) sys.exit(1) for severity in severities: channel.queue_bind(exchange='direct_logs', queue=queue_name, routing_key=severity) 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()
#!/usr/bin/env python import pika import sys connection = pika.BlockingConnection(pika.ConnectionParameters( host='localhost')) channel = connection.channel() channel.exchange_declare(exchange='direct_logs', type='direct') severity = sys.argv[1] if len(sys.argv) > 1 else 'info' message = ' '.join(sys.argv[2:]) or 'Hello World!' channel.basic_publish(exchange='direct_logs', routing_key=severity, body=message) print(" [x] Sent %r:%r" % (severity, message)) connection.close()
exchange type = topic
在topic類型下,可讓隊列綁定幾個模糊的關鍵字,以後發送者將數據發送到exchange,exchange將傳入」路由值「和 」關鍵字「進行匹配,匹配成功,則將數據發送到指定隊列。
發送者路由值 隊列中 old.boy.python old.* -- 不匹配 old.boy.python old.# -- 匹配
#!/usr/bin/env python import pika import sys connection = pika.BlockingConnection(pika.ConnectionParameters( host='localhost')) channel = connection.channel() channel.exchange_declare(exchange='topic_logs', type='topic') result = channel.queue_declare(exclusive=True) queue_name = result.method.queue binding_keys = sys.argv[1:] if not binding_keys: sys.stderr.write("Usage: %s [binding_key]...\n" % sys.argv[0]) sys.exit(1) for binding_key in binding_keys: channel.queue_bind(exchange='topic_logs', queue=queue_name, routing_key=binding_key) 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()
#!/usr/bin/env python import pika import sys connection = pika.BlockingConnection(pika.ConnectionParameters( host='localhost')) channel = connection.channel() channel.exchange_declare(exchange='topic_logs', type='topic') routing_key = sys.argv[1] if len(sys.argv) > 1 else 'anonymous.info' message = ' '.join(sys.argv[2:]) or 'Hello World!' channel.basic_publish(exchange='topic_logs', routing_key=routing_key, body=message) print(" [x] Sent %r:%r" % (routing_key, message)) connection.close()
注意:
sudo rabbitmqctl add_user wupeiqi 123 # 設置用戶爲administrator角色 sudo rabbitmqctl set_user_tags wupeiqi administrator # 設置權限 sudo rabbitmqctl set_permissions -p "/" root ".*" ".*" ".*" # 而後重啓rabbiMQ服務 sudo /etc/init.d/rabbitmq-server restart # 而後可使用剛纔的用戶遠程鏈接rabbitmq server了。 ------------------------------ credentials = pika.PlainCredentials("wupeiqi","123") connection = pika.BlockingConnection(pika.ConnectionParameters('192.168.14.47',credentials=credentials))
#!/usr/bin/env python # -*- coding:utf-8 -*- import pika from pika.adapters.blocking_connection import BlockingChannel credentials = pika.PlainCredentials("root", "123") conn = pika.BlockingConnection(pika.ConnectionParameters(host='10.211.55.20', credentials=credentials)) # 超時時間 conn.add_timeout(5, lambda: channel.stop_consuming()) channel = conn.channel() channel.queue_declare(queue='hello') def callback(ch, method, properties, body): print(" [x] Received %r" % body) channel.stop_consuming() channel.basic_consume(callback, queue='hello', no_ack=True) print(' [*] Waiting for messages. To exit press CTRL+C') channel.start_consuming()