RabbitMQ消息队列:Routing 消息路由
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上篇文章中,我们构建了一个简单的日志系统。接下来,我们将丰富它:能够使用不同的severity来监听不同等级的log。比如我们希望只有error的log才保存到磁盘上。1. Bindings绑定
上篇文章中我们是这么做的绑定:
channel.queue_bind(exchange=exchange_name,
queue=queue_name)
绑定其实就是关联了exchange和queue。或者这么说:queue对exchagne的内容感兴趣,exchange要把它的Message deliver到queue中。
实际上,绑定可以带
routing_key 这个参数。其实这个参数的名称和
basic_publish 的参数名是相同了。为了避免混淆,我们把它成为binding key。
使用一个key来创建binding :
channel.queue_bind(exchange=exchange_name,
queue=queue_name,
routing_key='black')
对于fanout的exchange来说,这个参数是被忽略的。
2. Direct exchange
Direct exchange的路由算法非常简单:通过binding key的完全匹配,可以通过下图来说明。exchange X和两个queue绑定在一起。Q1的binding key是orange。Q2的binding key是black和green。
当P publish key是orange时,exchange会把它放到Q1。如果是black或者green那么就会到Q2。其余的Message都会被丢弃。
3. Multiple bindings
多个queue绑定同一个key是可以的。对于下图的例子,Q1和Q2都绑定了black。也就是说,对于routing key是black的Message,会被deliver到Q1和Q2。其余的Message都会被丢弃。
4. Emitting logs
首先是我们要创建一个direct的exchange:
channel.exchange_declare(exchange='direct_logs',
type='direct')
我们将使用log的severity作为routing key,这样Consumer可以针对不同severity的log进行不同的处理。
publish:
channel.basic_publish(exchange='direct_logs',
routing_key=severity,
body=message)
我们使用三种severity:'info', 'warning', 'error'.
5. Subscribing
对于queue,我们需要绑定severity:
result = channel.queue_declare(exclusive=True)
queue_name = result.method.queue
for severity in severities:
channel.queue_bind(exchange='direct_logs',
queue=queue_name,
routing_key=severity)
6. 最终版本
The code for emit_log_direct.py:
#!/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()
The code for receive_logs_direct.py:
#!/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:
print >> sys.stderr, "Usage: %s [info] [warning] [error]" % \\
(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()
我们想把warning和error的log记录到一个文件中:
$ python receive_logs_direct.py warning error > logs_from_rabbit.log
打印所有log到屏幕:
$ python receive_logs_direct.py info warning error
[*] Waiting for logs. To exit press CTRL+C
尊重原创,转载请注明出处 anzhsoft: http://blog.csdn.net/anzhsoft/article/details/19630147
参考资料:
1. http://www.rabbitmq.com/tutorials/tutorial-four-python.html
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