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https://issues.apache.org/jira/browse/FLINK-33324?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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dongwoo.kim updated FLINK-33324:
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    Attachment: image-2023-10-20-17-42-11-504.png

> Add flink managed timeout mechanism for backend restore operation
> -----------------------------------------------------------------
>
>                 Key: FLINK-33324
>                 URL: https://issues.apache.org/jira/browse/FLINK-33324
>             Project: Flink
>          Issue Type: Improvement
>          Components: Runtime / Checkpointing, Runtime / State Backends
>            Reporter: dongwoo.kim
>            Priority: Minor
>         Attachments: image-2023-10-20-15-16-53-324.png, 
> image-2023-10-20-17-42-11-504.png
>
>
> Hello community, I would like to share an issue our team recently faced and 
> propose a feature to mitigate similar problems in the future.
> h2. Issue
> Our Flink streaming job encountered consecutive checkpoint failures and 
> subsequently attempted a restart. 
> This failure occurred due to timeouts in two subtasks located within the same 
> task manager. 
> The restore operation for this particular task manager also got stuck, 
> resulting in an "initializing" state lasting over an hour. 
> Once we realized the hang during the restore operation, we terminated the 
> task manager pod, resolving the issue.
> !image-2023-10-20-15-16-53-324.png|width=565,height=500!
> The sequence of events was as follows:
> 1. Checkpoint timed out for subtasks within the task manager, referred to as 
> tm-32.
> 2. The Flink job failed and initiated a restart.
> 3. Restoration was successful for 282 subtasks, but got stuck for the 2 
> subtasks in tm-32.
> 4. While the Flink tasks weren't fully in running state, checkpointing was 
> still being triggered, leading to consecutive checkpoint failures.
> 5. These checkpoint failures seemed to be ignored, and did not count to the 
> execution.checkpointing.tolerable-failed-checkpoints configuration. As a 
> result, the job remained in the initialization phase for very long period.
> 6. Once we found this, we terminated the tm-32 pod, leading to a successful 
> Flink job restart.
> h2. Suggestion
> I feel that, a Flink job remaining in the initializing state indefinitely is 
> not ideal. 
> To enhance resilience, I think it would be helpful if we could add timeout 
> feature for restore operation. 
> If the restore operation exceeds a specified duration, an exception should be 
> thrown, causing the job to fail. 
> This way, we can address restore-related issues similarly to how we handle 
> checkpoint failures.
> h2. Notes
> Just to add, I've made a basic version of this feature to see if it works. 
> I've attached a picture from the Flink UI that shows the timeout exception 
> happened during restore operation. 
> It's just a start, but I hope it helps with our discussion. 
> I've simulated network chaos, using litmus chaos engineering tool.
> !image-2023-10-20-17-30-10-751.png|width=839,height=283!
> Thank you for considering my proposal. I'm looking forward to hear your 
> thoughts. 
> If there's agreement on this, I'd be happy to work on implementing this 
> feature.



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