[jira] [Updated] (BEAM-5386) Flink Runner gets progressively stuck when Pubsub subscription is nearly empty

["Kenneth Knowles (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-5386?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Kenneth Knowles updated BEAM-5386:
----------------------------------
    Fix Version/s:     (was: 2.7.1)

> Flink Runner gets progressively stuck when Pubsub subscription is nearly empty
> ------------------------------------------------------------------------------
>
>                 Key: BEAM-5386
>                 URL: https://issues.apache.org/jira/browse/BEAM-5386
>             Project: Beam
>          Issue Type: Bug
>          Components: io-java-gcp, runner-flink
>    Affects Versions: 2.6.0, 2.7.0, 2.8.0, 2.9.0
>            Reporter: Encho Mishinev
>            Assignee: Maximilian Michels
>            Priority: Major
>             Fix For: 2.10.0
>
>          Time Spent: 6h 20m
>  Remaining Estimate: 0h
>
> I am running the Flink runner on Apache Beam 2.6.0.
> My pipeline involves reading from Google Cloud Pubsub. The problem is that whenever there are few messages left in the subscription I'm reading from, the whole job becomes progressively slower and slower, Flink's checkpoints start taking much more time and messages seem to not get properly acknowledged.
> This happens only whenever the subscription is nearly empty. For example when running 13 taskmanagers with parallelism of 52 for the job and a subscription that has 122 000 000 messages, you start feeling the slowing down after there are only 1 000 000 - 2 000 000 messages left.
> In one of my tests the job processed nearly 122 000 000 messages in an hour and then spent over 30 minutes attempting to do the few hundred thousand left. In the end it was reading a few hundred messages a minute and not reading at all for some periods. Upon stopping it the subscription still had 235 unacknowledged messages, even though Flink's element count was higher than the amount of messages I had loaded. The only explanation is that the messages did not get properly acknowledged and were resent.
> I have set up the subscriptions to a large acknowledgment deadline, but that does not help.
> I did smaller tests on subscriptions with 100 000 messages and a job that simply reads and does nothing else. The problem is still evident. With parallelism of 52 the job gets slow right away. Takes over 5min to read about 100 000 messages and a few hundred seem to keep cycling through never being acknowledged.
> On the other hand a parallelism of 1 works fine until there are about 5000 messages left, and then slows down similarly.
> Parallelism of 16 reads about 75 000 of the 100 000 immediately (a few seconds) and then proceeds to slowly work on the other 25 000 for minutes.
> The PubsubIO connector is provided by Beam so I suspect the problem to be in Beam's Flink runner rather than Flink itself.



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