Scheduling/Queueing 另一个作业中的作业与 redis 队列

Question

Tasker class 在实例化时设置初始作业。基本上我想要的是在 'main_queue' 中放置一个作业，确定作业是否为运行或者是否已经有相同的作业在 'process_queue'、return 中排队当前 'main_queue' 工作。否则在 'process_queue' 中排队作业。当该进程队列完成时，将作业放入 'main_queue'.

然而，'process_queue' 在该持续时间内具有相同的 id 作业，尽管它应该已经完成查看输出。因此，永远不会处理新工作。是否发生了我看不到的死锁？

main_queue 工人

$ rq worker main_queue --with-scheduler
22:44:19 Worker rq:worker:7fe23a24ae404135a10e301f7509eb7e: started, version 1.9.0
22:44:19 Subscribing to channel rq:pubsub:7fe23a24ae404135a10e301f7509eb7e
22:44:19 *** Listening on main_queue...
22:44:19 Trying to acquire locks for main_queue
22:44:19 Scheduler for main_queue started with PID 3747
22:44:19 Cleaning registries for queue: main_queue
22:44:33 main_queue: tasks.redis_test_job() (e90e0dff-bbcc-48ab-afed-6d1ba8b020a8)
None
Job is enqueued to process_queue!
22:44:33 main_queue: Job OK (e90e0dff-bbcc-48ab-afed-6d1ba8b020a8)
22:44:33 Result is kept for 500 seconds
22:44:47 main_queue: tasks.redis_test_job() (1a7f91d0-73f4-466e-92f4-9f918a9dd1e9)
<Job test_job: tasks.print_job()>
!!Scheduler added job to main but same job is already queued in process_queue!!
22:44:47 main_queue: Job OK (1a7f91d0-73f4-466e-92f4-9f918a9dd1e9)
22:44:47 Result is kept for 500 seconds

process_queue 工人

$ rq worker process_queue
22:44:24 Worker rq:worker:d70daf20ff324c18bc17f0ea9576df52: started, version 1.9.0
22:44:24 Subscribing to channel rq:pubsub:d70daf20ff324c18bc17f0ea9576df52
22:44:24 *** Listening on process_queue...
22:44:24 Cleaning registries for queue: process_queue
22:44:33 process_queue: tasks.print_job() (test_job)
The process job executed.
22:44:42 process_queue: Job OK (test_job)
22:44:42 Result is kept for 500 seconds

tasker.py

class Tasker():
    def __init__(self):
        self.tasker_conn = RedisClient().conn
        self.process_queue = Queue(name='process_queue', connection=Redis(), 
                                   default_timeout=-1)
        self.main_queue = Queue(name='main_queue', connection=Redis(),
                                    default_timeout=-1)
        self.__setup_tasks()
    def __setup_tasks(self):
        self.main_queue.enqueue_in(timedelta(seconds=3), tasks.redis_test_job)

tasks.py

import tasks
def redis_test_job():
    q = Queue('process_queue', connection=Redis(), default_timeout=-1)
    queued = q.fetch_job('test_job')
    print(queued)
    if queued:
        print("!!Scheduler added job to main but same job is already queued in process_queue!!")
        return False
    else:
        q.enqueue(tasks.print_job, job_id='test_job')
        print("Job is enqueued to process_queue!")
    return True

def print_job():
    sleep(8)
    print("The process job executed.")
    q = Queue('main_queue', connection=Redis(), default_timeout=-1)
    q.enqueue_in(timedelta(seconds=5), tasks.redis_test_job)

Answer 1

来自the docs, enqueued jobs have a result_ttl that defaults to 500 seconds如果你不定义它。

如果您想将其更改为例如使工作和结果只存在 1 秒，像这样排队你的工作：

 q.enqueue(tasks.print_job, job_id='test_job', result_ttl=1)

Scheduling/Queueing 另一个作业中的作业与 redis 队列

Scheduling/Queueing a job within another job with redis queue

python

redis

rq