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https://issues.apache.org/jira/browse/FLINK-30251?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17644674#comment-17644674
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Yun Gao commented on FLINK-30251:
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Hi [~Ming Li] very thanks for reporting the issue and thanks [~Yanfei Lei] for
tracking the issue! I also think this is indeed an issue and moving it to an
asynchronous thread should be a reasonable solution. [~Ming Li] Could you
first open a formal PR?
There is also one concern:
# The current `asyncOperationsThreadPool` is a cached thread pool, which do
not have an upper limit of the number of threads, and it will create a new
thread whenever there is not free thread when submitting tasks. Then if we have
a large number of file to close, we might end up with a lot of threads, which
might further cause a large number of memory consumption (1MB for each thread
RSS region). We might change it to a thread pool with a limited maximum number
of thread and one unbounded Blocking Queue.
> Move the IO with DFS during abort checkpoint to an asynchronous thread.
> -----------------------------------------------------------------------
>
> Key: FLINK-30251
> URL: https://issues.apache.org/jira/browse/FLINK-30251
> Project: Flink
> Issue Type: Improvement
> Components: Runtime / Checkpointing
> Affects Versions: 1.16.0, 1.15.2
> Reporter: ming li
> Priority: Major
> Attachments: image-2022-11-30-19-10-51-226.png
>
>
> Currently when the {{checkpoint}} fails, we process the abort message in the
> Task's {{{}mailbox{}}}. We will close the output stream and delete the file
> on DFS.
>
> However, when the {{checkpoint}} failure is caused by a DFS system failure
> (for example, the namenode failure of HDFS), this operation may take a long
> time or hang, and the task will not be able to process the data at this time.
>
> So I think we can put the operation of deleting files in an asynchronous
> thread just like uploading checkpoint data asynchronously.
> !image-2022-11-30-19-10-51-226.png|width=731,height=347!
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