我有一个RabbitMQ任务队列和一个Pika消费者来使用这些任务(使用acks)。问题是连接在90秒空闲后死亡但我的任务通常需要更长的时间。这意味着当仍在计算任务时,它们将返回到任务队列并且永远不会被激活。
将RabbitMQ 3.5.3和Pika 0.9.14与 channel.basic_consume()方法一起使用。该连接的 heartbeat_interval 为30秒。
消费代码:
import pika
from time import sleep
RABBITMQ_URL = "amqp://user:pass@my-host.com/my_virtual_host?heartbeat_interval=30"
QUEUE_NAME = "my_queue"
def callback(ch, method, properties, body):
print body
sleep(91) # if sleep value < 90 this code works (even 89)
ch.basic_ack(delivery_tag=method.delivery_tag)
parameters = pika.URLParameters(RABBITMQ_URL)
connection = pika.BlockingConnection(parameters)
channel = connection.channel()
channel.queue_declare(queue=QUEUE_NAME, durable=True)
channel.basic_qos(prefetch_count=1)
channel.basic_consume(callback, queue=QUEUE_NAME)
channel.start_consuming()
回溯:
Traceback (most recent call last):
File "main.py", line 19, in <module>
channel.basic_consume(callback, queue=QUEUE_NAME)
File "/usr/local/lib/python2.7/site-packages/pika/channel.py", line 221, in basic_consume
{'consumer_tag': consumer_tag})])
File "/usr/local/lib/python2.7/site-packages/pika/adapters/blocking_connection.py", line 1143, in _rpc
self.connection.process_data_events()
File "/usr/local/lib/python2.7/site-packages/pika/adapters/blocking_connection.py", line 240, in process_data_events
if self._handle_read():
File "/usr/local/lib/python2.7/site-packages/pika/adapters/blocking_connection.py", line 347, in _handle_read
if self._read_poller.ready():
File "/usr/local/lib/python2.7/site-packages/pika/adapters/blocking_connection.py", line 43, in inner
return f(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pika/adapters/blocking_connection.py", line 89, in ready
self.poll_timeout)
select.error: (9, 'Bad file descriptor')
答案 0 :(得分:2)
这里的问题是因为你睡了这么久,pika无法响应来自RabbitMQ的心跳请求,当发生这种情况时,RabbitMQ将关闭连接。
解决此问题的唯一方法是禁用心跳或以较小的间隔睡眠并连续运行process_data_events()
以便鼠兔可以处理心跳。
<强> e.g。像这样的东西
def amqp_sleep(connection, time_to_sleep=20):
remaining = time_to_sleep
while remaining > 0:
connection.process_data_events()
time.sleep(5)
remaining -= 5
就个人而言,我会去一个自动处理后台心跳的图书馆,所以你不必处理它们,例如rabbitpy或我自己的amqp-storm。