import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
# durable：server挂了队列仍然存在
channel.queue_declare(queue='task_queue', durable=True)
# 使用默认的交换机发送消息。exchange为空就使用默认的。delivery_mode=2：使消息持久化。和队列名称绑定routing_key
message = ' '.join(sys.argv[1:]) or "Hello World!"
channel.basic_publish(exchange='',
routing_key='task_queue',
body=message,
properties=pika.BasicProperties(
delivery_mode=2,
))
print(" [x] Sent %r" % message)
connection.close()
消费端:
import pika
import time
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='task_queue', durable=True)
print(' [*] Waiting for messages. To exit press CTRL+C')
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
time.sleep(body.count(b'.'))
print(" [x] Done")
# 手动对消息进行确认
ch.basic_ack(delivery_tag=method.delivery_tag)
# basic_consume：这个函数有no_ack参数。该参数默认为false。表示：需要对message进行确认。怎么理解：no设置成false，表示要确认
channel.basic_consume(callback, queue='task_queue')
channel.start_consuming()
说明:
个人觉得rabbitMQ比较好的一点是能够对消费的信息进行反馈,如果消费端的程序运行失败了,还可以重复消费.