RabbitMQ的任务分发

direct分发机制会根据分发关键字(routing_key),将task分发到指定的queue,work只需要监听相应的queue即可,在代码中,需要设置相应的routing_key

fanout机制相反,他会将task分发给所有的queue

fanout模式:

emit_log.py

# -*- coding: UTF-8 -*-
import pika

if __name__ == '__main__':

    connection = pika.BlockingConnection(pika.ConnectionParameters("localhost"))
    channel = connection.channel()
    channel.exchange_declare(exchange="logs2",type="direct")
    message = "You are awsome!"
    for i in range(0, 100):  # 循环100次发送消息
        if i%2==0:
            channel.basic_publish(exchange="logs2", routing_key='even', body=message + " " + str(i),)
        else:
            channel.basic_publish(exchange="logs2", routing_key='old', body=message + " " + str(i),)

    print "sending ", message

    #两个receive_log 都将接收到task

receive_log.py

pika

__author__ = callback(, , , body):
    body


__name__ == :
    connection=pika.BlockingConnection(pika.ConnectionParameters())
    channel=connection.channel()
    channel.exchange_declare(=,=)
    result=channel.queue_declare(=)
    queue_name=result..queue
    ,queue_name
    channel.queue_bind(=,=queue_name)
    channel.basic_consume(callback,=queue_name,=)
    channel.start_consuming()

receive_log2.py

pika

__author__ = callback(, , , body):
    body


__name__ == :
    connection=pika.BlockingConnection(pika.ConnectionParameters())
    channel=connection.channel()
    channel.exchange_declare(=,=)
    result=channel.queue_declare(=)
    queue_name=result.method.queue
    ,queue_name
    channel.queue_bind(=,=queue_name)
    channel.basic_consume(callback,=queue_name,=)
    channel.start_consuming()

可以看出两个work均接受到所有的消息

RabbitMQ的任务分发_第1张图片

RabbitMQ的任务分发_第2张图片

direct模式:

work的代码只需要将上述代码中的type改为type="direct",并绑定不同的exchange即可,


pika

__author__ = __name__ == :

    connection = pika.BlockingConnection(pika.ConnectionParameters())
    channel = connection.channel()
    channel.exchange_declare(=,=)
    message = i (, ):  i%==:
            channel.basic_publish(=, =, =message + + (i),)
        :
            channel.basic_publish(=, =, =message + + (i),)

    , message

receive_even_log.py

pika

__author__ = callback(, , , body):
    body


__name__ == :
    connection=pika.BlockingConnection(pika.ConnectionParameters())
    channel=connection.channel()
    channel.exchange_declare(=,=)
    result=channel.queue_declare(=)
    queue_name=result..queue
    ,queue_name
    channel.queue_bind(=,=queue_name,=)
    channel.basic_consume(callback,=queue_name,=)
    channel.start_consuming()

receive_old_log.py

pika

__author__ = callback(, , , body):
    body


__name__ == :
    connection=pika.BlockingConnection(pika.ConnectionParameters())
    channel=connection.channel()
    channel.exchange_declare(=,=)
    result=channel.queue_declare(=)
    queue_name=result.method.queue
    ,queue_name
    channel.queue_bind(=,=queue_name,=)
    channel.basic_consume(callback,=queue_name,=)
    channel.start_consuming()

从结果中看出:task只分发给了相应的queue

RabbitMQ的任务分发_第3张图片

RabbitMQ的任务分发_第4张图片











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