RabbitMQ是一個在AMQP基礎上完整的,可服用的企業消息系統。他遵循Mozilla Public License開源協議。
MQ全稱為Message Queue,消息隊列(MQ)是一種應用程序對應用程序的通信方法。
應用程序通過讀寫出入隊列的消息(針對應用程序的數據)來通信,而無需專用連接來鏈接它們。
消息傳遞指的是程序之間通過在消息中發送數據進行通信,而不是通過直接調用彼此來通信,直接調用通常是用於諸如遠程過程調用的技術。
隊列的使用除去了接收和發送應用程序同時執行的要求。
RabbitMQ安裝
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/stop
安裝API
pip install pika
or
easy_install pika
or
源碼
https://pypi.python.org/pypi/pika
使用API操作RabbitMQ
基於Queue實現生產者消費者模型
1 #!/usr/bin/env python
2 # -*- coding:utf-8 -*-
3 import Queue
4 import threading
5
6
7 message = Queue.Queue(10)
8
9
10 def producer(i):
11 while True:
12 message.put(i)
13
14
15 def consumer(i):
16 while True:
17 msg = message.get()
18
19
20 for i in range(12):
21 t = threading.Thread(target=producer, args=(i,))
22 t.start()
23
24 for i in range(10):
25 t = threading.Thread(target=consumer, args=(i,))
26 t.start()
基於Queue
對於RabbitMQ來説,生產和消費不再針對內存裏的一個Queue對象,而是某台服務器上的RabbitMQ Server實現的消息隊列。
生產者:
1 #!/usr/bin/env python
2 import pika
3
4 # ######################### 生產者 #########################
5
6 connection = pika.BlockingConnection(pika.ConnectionParameters(
7 host='localhost'))
8 channel = connection.channel()
9
10 channel.queue_declare(queue='hello')
11
12 channel.basic_publish(exchange='',
13 routing_key='hello',
14 body='Hello World!')
15 print(" [x] Sent 'Hello World!'")
16 connection.close()
消費者:
1 #!/usr/bin/env python
2 import pika
3
4 # ########################## 消費者 ##########################
5
6 connection = pika.BlockingConnection(pika.ConnectionParameters(
7 host='localhost'))
8 channel = connection.channel()
9
10 channel.queue_declare(queue='hello')
11
12 def callback(ch, method, properties, body):
13 print(" [x] Received %r" % body)
14
15 channel.basic_consume(callback,
16 queue='hello',
17 no_ack=True)
18
19 print(' [*] Waiting for messages. To exit press CTRL+C')
20 channel.start_consuming()
1.acknowledgment消息不丟失
no-ack = False,如果消費者遇到情況(its channel is closed, connection is closed, or TCP connection is lost)掛掉了,那麼,RabbitMQ會重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()
消費者
2.durable消息不丟失
#!/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()
生產者
#!/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()
消費者
3.消費獲取順序
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,不再按照奇偶數排列
#!/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()
消費者
4.發佈訂閲
發佈訂閲和簡單的消息隊列區別在於,發佈訂閲會將消息發送給所有的訂閲者,而消息隊列中的數據被消費一次便消失。
所以,RabbitMQ實現發佈和訂閲時,會為每一個訂閲者創建一個隊列,而發佈者發佈消息時,會將消息放置在所有相關隊列中。
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()
發佈者
#!/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()
訂閲者
5.關鍵字發送
exchange type = direct
之前事例,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 判定應該將數據發送至指定隊列。
1 #!/usr/bin/env python
2 import pika
3 import sys
4
5 connection = pika.BlockingConnection(pika.ConnectionParameters(
6 host='localhost'))
7 channel = connection.channel()
8
9 channel.exchange_declare(exchange='direct_logs',
10 type='direct')
11
12 result = channel.queue_declare(exclusive=True)
13 queue_name = result.method.queue
14
15 severities = sys.argv[1:]
16 if not severities:
17 sys.stderr.write("Usage: %s [info] [warning] [error]\n" % sys.argv[0])
18 sys.exit(1)
19
20 for severity in severities:
21 channel.queue_bind(exchange='direct_logs',
22 queue=queue_name,
23 routing_key=severity)
24
25 print(' [*] Waiting for logs. To exit press CTRL+C')
26
27 def callback(ch, method, properties, body):
28 print(" [x] %r:%r" % (method.routing_key, body))
29
30 channel.basic_consume(callback,
31 queue=queue_name,
32 no_ack=True)
33
34 channel.start_consuming()
消費者
1 #!/usr/bin/env python
2 import pika
3 import sys
4
5 connection = pika.BlockingConnection(pika.ConnectionParameters(
6 host='localhost'))
7 channel = connection.channel()
8
9 channel.exchange_declare(exchange='direct_logs',
10 type='direct')
11
12 severity = sys.argv[1] if len(sys.argv) > 1 else 'info'
13 message = ' '.join(sys.argv[2:]) or 'Hello World!'
14 channel.basic_publish(exchange='direct_logs',
15 routing_key=severity,
16 body=message)
17 print(" [x] Sent %r:%r" % (severity, message))
18 connection.close()
生產者
6.模糊匹配
exchange type = topic
在topic類型下,可以讓隊列綁定幾個模糊的關鍵字,之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。
- # 表示可以匹配 0 個 或 多個 單詞
- * 表示只能匹配 一個 單詞
1 發送者路由值 隊列中
2 old.boy.python old.* -- 不匹配
3 old.boy.python old.# -- 匹配
1 #!/usr/bin/env python
2 import pika
3 import sys
4
5 connection = pika.BlockingConnection(pika.ConnectionParameters(
6 host='localhost'))
7 channel = connection.channel()
8
9 channel.exchange_declare(exchange='topic_logs',
10 type='topic')
11
12 result = channel.queue_declare(exclusive=True)
13 queue_name = result.method.queue
14
15 binding_keys = sys.argv[1:]
16 if not binding_keys:
17 sys.stderr.write("Usage: %s [binding_key]...\n" % sys.argv[0])
18 sys.exit(1)
19
20 for binding_key in binding_keys:
21 channel.queue_bind(exchange='topic_logs',
22 queue=queue_name,
23 routing_key=binding_key)
24
25 print(' [*] Waiting for logs. To exit press CTRL+C')
26
27 def callback(ch, method, properties, body):
28 print(" [x] %r:%r" % (method.routing_key, body))
29
30 channel.basic_consume(callback,
31 queue=queue_name,
32 no_ack=True)
33
34 channel.start_consuming()
消費者
1 #!/usr/bin/env python
2 import pika
3 import sys
4
5 connection = pika.BlockingConnection(pika.ConnectionParameters(
6 host='localhost'))
7 channel = connection.channel()
8
9 channel.exchange_declare(exchange='topic_logs',
10 type='topic')
11
12 routing_key = sys.argv[1] if len(sys.argv) > 1 else 'anonymous.info'
13 message = ' '.join(sys.argv[2:]) or 'Hello World!'
14 channel.basic_publish(exchange='topic_logs',
15 routing_key=routing_key,
16 body=message)
17 print(" [x] Sent %r:%r" % (routing_key, message))
18 connection.close()
生產者
1 sudo rabbitmqctl add_user alex 123
2 # 設置用户為administrator角色
3 sudo rabbitmqctl set_user_tags alex administrator
4 # 設置權限
5 sudo rabbitmqctl set_permissions -p "/" alex '.''.''.'
6
7 # 然後重啓rabbiMQ服務
8 sudo /etc/init.d/rabbitmq-server restart
9
10 # 然後可以使用剛才的用户遠程連接rabbitmq server了。
11
12
13 ------------------------------
14 credentials = pika.PlainCredentials("alex","123")
15
16 connection = pika.BlockingConnection(pika.ConnectionParameters('192.168.14.47',credentials=credentials))
注意事項