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dongwoo.kim updated FLINK-33324: -------------------------------- 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. -- This message was sent by Atlassian Jira (v8.20.10#820010)