排队调用中的rq timeout参数不起作用，导致JobTimeoutException

Question

我试图更改rq作业的超时，但似乎没有任何工作。我得到了一些效果：

my_queue = Queue('my_task', connection=Redis())

job_args = (1, 2, 4)

my_queue.enqueue_call(
                    my_func,
                    args=job_args,
                    timeout=2700
            )

但我还是

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我太绝望了，我甚至试着进入rq模块队列.py并将timeout的默认参数更改为2700和default_timeout（在Queue类中定义的变量，其中包含enqueue_call方法）。是我遗漏了什么，还是有人知道这个问题？谢谢！在

Answer 1

我们可以通过在队列初始化时设置超时来解决这个问题。在

from rq import Worker, Queue, Connection
q = Queue(default_timeout=3600)

希望这能解决你的疑问。在

Answer 2

排队调用中的超时参数没有问题。只是用这个例子来测试一下。在

在函数.py在

from time import sleep
def test(a, b, c):
    sleep(a)
    print str(b+c)

在驱动程序.py在

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结果：

13:08:11 abc: test.test(100, 2, 3) (4b4e96e5-af30-4175-ab94-ceaf9187e581)
5
13:08:13 abc: test.test(300, 2, 3) (04605c34-d039-42ad-954e-7f445f0f8bc9)
13:11:17 JobTimeoutException: Job exceeded maximum timeout value (200 seconds)
Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/rq/worker.py", line 568, in perform_job
    rv = job.perform()
  File "/usr/local/lib/python2.7/dist-packages/rq/job.py", line 495, in perform
    self._result = self.func(*self.args, **self.kwargs)
  File "./test.py", line 4, in test
    sleep(a)
  File "/usr/local/lib/python2.7/dist-packages/rq/timeouts.py", line 51, in handle_death_penalty
    'value ({0} seconds)'.format(self._timeout))
JobTimeoutException: Job exceeded maximum timeout value (200 seconds)
Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/rq/worker.py", line 568, in perform_job
    rv = job.perform()
  File "/usr/local/lib/python2.7/dist-packages/rq/job.py", line 495, in perform
    self._result = self.func(*self.args, **self.kwargs)
  File "./test.py", line 4, in test
    sleep(a)
  File "/usr/local/lib/python2.7/dist-packages/rq/timeouts.py", line 51, in handle_death_penalty
    'value ({0} seconds)'.format(self._timeout))
JobTimeoutException: Job exceeded maximum timeout value (200 seconds)

如果您正在使用诸如supervisor之类的工具来管理rq工作人员，请尝试重新启动服务。在