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Same task runs multiple times at once? #4400

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jenstroeger opened this Issue Nov 20, 2017 · 18 comments

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@jenstroeger
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jenstroeger commented Nov 20, 2017

The issue is a repost of an unattended Google groups post Same task runs multiple times?

> ./bin/celery -A celery_app report

software -> celery:4.1.0 (latentcall) kombu:4.1.0 py:3.6.1
            billiard:3.5.0.3 redis:2.10.6
platform -> system:Linux arch:64bit, ELF imp:CPython
loader   -> celery.loaders.app.AppLoader
settings -> transport:redis results:redis://localhost:6379/2

broker_url: 'redis://localhost:6379/2'
result_backend: 'redis://localhost:6379/2'
task_serializer: 'json'
result_serializer: 'json'
accept_content: ['json']
timezone: 'Europe/Berlin'
enable_utc: True
imports: 'tasks'
task_routes: {
 'tasks': {'queue': 'celery-test-queue'}}

My application schedules a single group of two, sometimes three tasks, each of which with their own ETA within one hour. When the ETA arrives, I see the following in my celery log:

[2017-11-20 09:55:34,470: INFO/ForkPoolWorker-2] Task tasks._test_exec[bd08ab85-28a8-488f-ba03-c2befde10054] succeeded in 33.81780316866934s: None
[2017-11-20 09:55:34,481: INFO/ForkPoolWorker-2] Task tasks._test_exec[bd08ab85-28a8-488f-ba03-c2befde10054] succeeded in 0.009824380278587341s: None
[2017-11-20 09:55:34,622: INFO/ForkPoolWorker-2] Task tasks._test_exec[bd08ab85-28a8-488f-ba03-c2befde10054] succeeded in 0.14010038413107395s: None
…
[2017-11-20 09:55:37,890: INFO/ForkPoolWorker-8] Task tasks._test_exec[bd08ab85-28a8-488f-ba03-c2befde10054] succeeded in 0.012678759172558784s: None
[2017-11-20 09:55:37,891: INFO/ForkPoolWorker-2] Task tasks._test_exec[bd08ab85-28a8-488f-ba03-c2befde10054] succeeded in 0.01177949644625187s: None
[2017-11-20 09:55:37,899: INFO/ForkPoolWorker-8] Task tasks._test_exec[bd08ab85-28a8-488f-ba03-c2befde10054] succeeded in 0.008250340819358826s: None
…

This can repeat dozens of times. Note the first task’s 33 seconds execution time, and the use of different workers!

I have no explanation for this behavior, and would like to understand what’s going on here.

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georgepsarakis commented Nov 22, 2017

Maybe this is related to visibility timeout?

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jenstroeger commented Nov 23, 2017

@georgepsarakis Could you please elaborate on your suspicion?

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georgepsarakis commented Nov 24, 2017

As far as I know, this is a known issue for broker transports that do not have built-in acknowledgement characteristics of AMQP. The task will be assigned to a new worker if the task completion time exceeds the visibility timeout, thus you may see tasks being executed in parallel.

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jenstroeger commented Nov 24, 2017

@georgepsarakis So if the task is scheduled far ahead in the future, then I might see the above? The “visibility timeout” addresses that? From the documentation you linked:

The default visibility timeout for Redis is 1 hour.

Meaning that if within the hour the worker does not ack the task (i.e. run it?) that task is being sent to another worker which wouldn’t ack, and so on… Indeed this seems to be the case looking at the caveats section of the documentation; this related issue celery/kombu#337; or quoting from this blog:

But when developers just start using it, they regularly face abnormal behaviour of workers, specifically multiple execution of the same task by several workers. The reason which causes it is a visibility timeout setting.

Looks like setting the visibility_timeout to 31,540,000 seconds (one year) might be a quick fix.

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georgepsarakis commented Nov 25, 2017

I would say that if you increase the visibility timeout to 2 hours, your tasks will be executed only once.

So if you combine:

  • Redis broker
  • Late acknowledgement
  • ETA equal/above the visibility timeout
    you get multiple executions on the task.

I think what happens is:

  • After one hour passes one worker process starts processing the task.
  • A second worker will see that this message has been in the queue for longer than the visibility timeout and is being processed by another worker.
  • Message is restored in the queue.
  • Another worker starts processing the same message.
  • The above happens for all worker processes.

Looking into the Redis transport implementation, you will notice that it uses Sorted Sets, passing the queued time as a score to zadd. The message is restored based on that timestamp and comparing to an interval equal to the visibility timeout.

Hope this explains a bit the internals of the Redis transport.

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jenstroeger commented Nov 27, 2017

@georgepsarakis, I’m now thoroughly confused. If a task’s ETA is set for two months from now, why would a worker pick it up one hour after the tasks has been scheduled? Am I missing something?

My (incorrect?) assumption is that:

  • I schedule a task with an ETA at any time in the future; then
  • the task (i.e. its marshaled arguments) and ETA will sit in the queue until ETA arrives; then
  • a worker begins processing the task at ETA.

Your “I think what happens is:” above is quite different from my assumption.

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zivsu commented Dec 17, 2017

I also encountered the same problem,have you solved it? @jenstroeger

Thanks!

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georgepsarakis commented Dec 17, 2017

@jenstroeger that does not sound like a feasible flow, I think the worker just continuously requeues the message in order to postpone execution until the ETA condition is finally met. The concept of the queue is to distribute messages as soon as they arrive, so the worker examines the message and just requeues.

Please note that this is my guess, I am not really aware of the internals of the ETA implementation.

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jenstroeger commented Dec 21, 2017

@zivsu, as mentioned above I’ve set the visibility_timeout to a very large number and that seems to have resolved the symptoms. However, as @georgepsarakis points out, that seems to be a poor approach.

I do not know the cause of the original problem nor how to address it properly.

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zivsu commented Dec 21, 2017

@jenstroeger I read some blog, change visibility_timeout can not solve the problem completely, so I change my borker to rabbitmq.

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jenstroeger commented Dec 22, 2017

@zivsu, can you please share the link to the blog? Did you use Redis before?

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zivsu commented Dec 22, 2017

@jenstroeger I can't find the blog, I used Redis as broker before. For schedule task, I choose rebbitmq to avoid the error happen again.

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Anton-Shutik commented Apr 10, 2018

I have exactly same issue, my config is:
django==1.11.6
celery==4.2rc2
django-celery-beat==1.0.1

settings:

CELERY_ENABLE_UTC = True
# CELERY_TIMEZONE = 'America/Los_Angeles'

And that is the only one working combination of this settings. Also I have to schedule my periodic tasks in UTC timezone.
If you enable CELERY_TIMEZONE or disable CELERY_ENABLE_UTC it starts running periodic tasks multiple times.

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tyan4g commented Apr 27, 2018

I have the save problem. the eta task excute multiply times when using redis as a broker.
any way to solve this..
look like change broker from redis to rabbitmq solve this problem..

@auvipy auvipy added this to the v5.0.0 milestone Apr 27, 2018

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2ps commented May 31, 2018

Using redis, there is a well-known issue when you specify a timezone other than UTC. To work around the issue, subclass the default app, and add your own timezone handling function:

from celery import Celery


class MyAppCelery(Celery):
    def now(self):
        """Return the current time and date as a datetime."""
        from datetime import datetime
        return datetime.now(self.timezone)

Hope that helps anyone else that is running into this problem.

@auvipy auvipy modified the milestones: v5.0.0, v4.3 May 31, 2018

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chrisconlan commented Sep 26, 2018

I get this problem sometimes when frequently restarting celery jobs with beat on multicore machines. I've gotten in the habit of running ps aux | grep celery then kill <each_pid> to resolve it.

Best advice I have is to always make sure you see the "restart DONE" message before disconnecting from the machine.

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zetaab commented Oct 10, 2018

{"log":"INFO 2018-10-09 17:41:08,468 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T17:41:08.468912644Z"}
{"log":"INFO 2018-10-09 17:41:08,468 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T17:41:08.468955918Z"}
{"log":"INFO 2018-10-09 19:46:04,293 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T19:46:04.293780045Z"}
{"log":"INFO 2018-10-09 19:46:04,293 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T19:46:04.293953621Z"}
{"log":"INFO 2018-10-09 20:46:04,802 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T20:46:04.802819711Z"}
{"log":"INFO 2018-10-09 20:46:04,802 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T20:46:04.802974829Z"}
{"log":"INFO 2018-10-09 21:46:05,335 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T21:46:05.336081133Z"}
{"log":"INFO 2018-10-09 21:46:05,335 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T21:46:05.336107517Z"}
{"log":"INFO 2018-10-09 22:46:05,900 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T22:46:05.901078395Z"}
{"log":"INFO 2018-10-09 22:46:05,900 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T22:46:05.901173663Z"}
{"log":"INFO 2018-10-09 23:46:06,484 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T23:46:06.485276904Z"}
{"log":"INFO 2018-10-09 23:46:06,484 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-09T23:46:06.485415253Z"}
{"log":"INFO 2018-10-10 00:46:07,072 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-10T00:46:07.072529828Z"}
{"log":"INFO 2018-10-10 00:46:07,072 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-10T00:46:07.072587887Z"}
{"log":"INFO 2018-10-10 01:46:07,602 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-10T01:46:07.60325321Z"}
{"log":"INFO 2018-10-10 01:46:07,602 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-10T01:46:07.603327426Z"}
{"log":"INFO 2018-10-10 02:46:08,155 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-10T02:46:08.155868992Z"}
{"log":"INFO 2018-10-10 02:46:08,155 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-10T02:46:08.155921893Z"}
{"log":"INFO 2018-10-10 03:46:08,753 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-10T03:46:08.75401387Z"}
{"log":"INFO 2018-10-10 03:46:08,753 strategy celery.worker.strategy 1 140031597243208 Received task: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f]  ETA:[2018-10-10 04:00:00+00:00] \n","stream":"stderr","time":"2018-10-10T03:46:08.754056891Z"}
{"log":"DEBUG 2018-10-10 04:00:00,013 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:70\n","stream":"stderr","time":"2018-10-10T04:00:00.013548928Z"}
{"log":"DEBUG 2018-10-10 04:00:00,013 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:70\n","stream":"stderr","time":"2018-10-10T04:00:00.013592318Z"}
{"log":"DEBUG 2018-10-10 04:00:00,013 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:71\n","stream":"stderr","time":"2018-10-10T04:00:00.014000106Z"}
{"log":"DEBUG 2018-10-10 04:00:00,013 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:71\n","stream":"stderr","time":"2018-10-10T04:00:00.014167558Z"}
{"log":"DEBUG 2018-10-10 04:00:00,014 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:64\n","stream":"stderr","time":"2018-10-10T04:00:00.014661348Z"}
{"log":"DEBUG 2018-10-10 04:00:00,014 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:64\n","stream":"stderr","time":"2018-10-10T04:00:00.014684354Z"}
{"log":"DEBUG 2018-10-10 04:00:00,014 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:65\n","stream":"stderr","time":"2018-10-10T04:00:00.01514884Z"}
{"log":"DEBUG 2018-10-10 04:00:00,014 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:65\n","stream":"stderr","time":"2018-10-10T04:00:00.015249646Z"}
{"log":"DEBUG 2018-10-10 04:00:00,015 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:66\n","stream":"stderr","time":"2018-10-10T04:00:00.01571124Z"}
{"log":"DEBUG 2018-10-10 04:00:00,015 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:66\n","stream":"stderr","time":"2018-10-10T04:00:00.01580249Z"}
{"log":"DEBUG 2018-10-10 04:00:00,019 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:68\n","stream":"stderr","time":"2018-10-10T04:00:00.019260948Z"}
{"log":"DEBUG 2018-10-10 04:00:00,019 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:68\n","stream":"stderr","time":"2018-10-10T04:00:00.019322151Z"}
{"log":"DEBUG 2018-10-10 04:00:00,245 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:70\n","stream":"stderr","time":"2018-10-10T04:00:00.245159563Z"}
{"log":"DEBUG 2018-10-10 04:00:00,245 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:70\n","stream":"stderr","time":"2018-10-10T04:00:00.245177267Z"}
{"log":"DEBUG 2018-10-10 04:00:00,245 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:67\n","stream":"stderr","time":"2018-10-10T04:00:00.245338722Z"}
{"log":"DEBUG 2018-10-10 04:00:00,245 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:67\n","stream":"stderr","time":"2018-10-10T04:00:00.245351289Z"}
{"log":"DEBUG 2018-10-10 04:00:00,256 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:65\n","stream":"stderr","time":"2018-10-10T04:00:00.256770035Z"}
{"log":"DEBUG 2018-10-10 04:00:00,256 request celery.worker.request 1 140031597243208 Task accepted: main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] pid:65\n","stream":"stderr","time":"2018-10-10T04:00:00.256788689Z"}
{"log":"INFO 2018-10-10 04:00:00,371 trace celery.app.trace 68 140031597243208 Task main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] succeeded in 0.35710329699213617s: None\n","stream":"stderr","time":"2018-10-10T04:00:00.371967002Z"}
{"log":"INFO 2018-10-10 04:00:00,371 trace celery.app.trace 68 140031597243208 Task main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] succeeded in 0.35710329699213617s: None\n","stream":"stderr","time":"2018-10-10T04:00:00.371983293Z"}
{"log":"INFO 2018-10-10 04:00:00,387 trace celery.app.trace 69 140031597243208 Task main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] succeeded in 0.10637873200175818s: None\n","stream":"stderr","time":"2018-10-10T04:00:00.388119538Z"}
{"log":"INFO 2018-10-10 04:00:00,387 trace celery.app.trace 69 140031597243208 Task main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] succeeded in 0.10637873200175818s: None\n","stream":"stderr","time":"2018-10-10T04:00:00.388166317Z"}
{"log":"INFO 2018-10-10 04:00:00,404 trace celery.app.trace 70 140031597243208 Task main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] succeeded in 0.16254851799749304s: None\n","stream":"stderr","time":"2018-10-10T04:00:00.404834545Z"}
{"log":"INFO 2018-10-10 04:00:00,404 trace celery.app.trace 70 140031597243208 Task main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] succeeded in 0.16254851799749304s: None\n","stream":"stderr","time":"2018-10-10T04:00:00.404862208Z"}
{"log":"INFO 2018-10-10 04:00:00,421 trace celery.app.trace 65 140031597243208 Task main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] succeeded in 0.1654666289978195s: None\n","stream":"stderr","time":"2018-10-10T04:00:00.421607856Z"}
{"log":"INFO 2018-10-10 04:00:00,421 trace celery.app.trace 65 140031597243208 Task main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] succeeded in 0.1654666289978195s: None\n","stream":"stderr","time":"2018-10-10T04:00:00.421674687Z"}
{"log":"INFO 2018-10-10 04:00:00,438 trace celery.app.trace 67 140031597243208 Task main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] succeeded in 0.19588526099687442s: None\n","stream":"stderr","time":"2018-10-10T04:00:00.438295459Z"}
{"log":"INFO 2018-10-10 04:00:00,438 trace celery.app.trace 67 140031597243208 Task main.batch.sendspam[2a6e5dc8-5fd2-40bd-8f65-7e7334a14b3f] succeeded in 0.19588526099687442s: None\n","stream":"stderr","time":"2018-10-10T04:00:00.438311386Z"}
...

if we check Received task timestamps, every hour it will get new task with same id. The result is that all ETA messages are sent more than 10 times. Looks like rabbitmq is only option if we want to use ETA

@Dedal-O

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Dedal-O commented Jan 2, 2019

Rcently meet similar bug. Also ps aux | grep celery showed more processes than workers started, twice more. Appending parameter --pool gevent to command launching celery workers lowered number of processes to exact number of started workers and celery beat. And now i'm wathnig my tasks execution.

@auvipy auvipy modified the milestones: v4.3, v5.0.0 Jan 8, 2019

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