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https://issues.apache.org/jira/browse/FLINK-17073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17170015#comment-17170015
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Biao Liu commented on FLINK-17073:
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[~echauchot], sorry for the late reply. Thanks for pushing this!
I'm OK with [~roman_khachatryan]'s plan. It's simpler to implement in some
aspects indeed. In my plan, we have to consider how to avoid synchronous
cleaning which you mentioned. Because in the near future,
{{CheckpointCoordinator}} would be no big lock anymore.
{quote}...we can drop new checkpoint requests when there are too many
checkpoints to clean...{quote}
I think we should take care of the cleaning for both successful checkpoint and
failed checkpoint.
I have left some comments in the doc.
> Slow checkpoint cleanup causing OOMs
> ------------------------------------
>
> Key: FLINK-17073
> URL: https://issues.apache.org/jira/browse/FLINK-17073
> Project: Flink
> Issue Type: Bug
> Components: Runtime / Checkpointing
> Affects Versions: 1.7.3, 1.8.0, 1.9.0, 1.10.0, 1.11.0
> Reporter: Till Rohrmann
> Assignee: Etienne Chauchot
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.12.0
>
>
> A user reported that he sees a decline in checkpoint cleanup speed when
> upgrading from Flink 1.7.2 to 1.10.0. The result is that a lot of cleanup
> tasks are waiting in the execution queue occupying memory. Ultimately, the JM
> process dies with an OOM.
> Compared to Flink 1.7.2, we introduced a dedicated {{ioExecutor}} which is
> used by the {{HighAvailabilityServices}} (FLINK-11851). Before, we use the
> {{AkkaRpcService}} thread pool which was a {{ForkJoinPool}} with a max
> parallelism of 64. Now it is a {{FixedThreadPool}} with as many threads as
> CPU cores. This change might have caused the decline in completed checkpoint
> discard throughput. This suspicion needs to be validated before trying to fix
> it!
> [1]
> https://lists.apache.org/thread.html/r390e5d775878918edca0b6c9f18de96f828c266a888e34ed30ce8494%40%3Cuser.flink.apache.org%3E
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