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https://issues.apache.org/jira/browse/HADOOP-13826?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15715769#comment-15715769
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Steve Loughran commented on HADOOP-13826:
-----------------------------------------

one thing to consider: now that we've gone to fast upload streams each with 
their own bounded queues, does the main queue need to be bounded at all? I 
guess we have to limit it by the size of the active connections.

we know the big ones are PUT, PUT-PART, COPY and COPY-PART right? The puts are 
limited per stream; if that is locked down (todo: check those numbers), then 
there's no overload on memory unless there are many streams trying to write 
simultaneously.

Copy could get the same treatment: we will need to throttle the number of 
active copy request across the entire FS. Which means the parallel renaming 
should share a blocking pool with all other threads trying to do copies

Oh, and I'd like to submit async delete and simple zero-byte put operations 
somewhere, alongside any async parent directory check (goal: do the full parent 
treewalk on create(), but async and only validate the results before that first 
PUT). 

> S3A Deadlock in multipart copy due to thread pool limits.
> ---------------------------------------------------------
>
>                 Key: HADOOP-13826
>                 URL: https://issues.apache.org/jira/browse/HADOOP-13826
>             Project: Hadoop Common
>          Issue Type: Bug
>          Components: fs/s3
>    Affects Versions: 2.7.3
>            Reporter: Sean Mackrory
>            Assignee: Sean Mackrory
>            Priority: Critical
>         Attachments: HADOOP-13826.001.patch, HADOOP-13826.002.patch
>
>
> In testing HIVE-15093 we have encountered deadlocks in the s3a connector. The 
> TransferManager javadocs 
> (http://docs.aws.amazon.com/AWSJavaSDK/latest/javadoc/com/amazonaws/services/s3/transfer/TransferManager.html)
>  explain how this is possible:
> {quote}It is not recommended to use a single threaded executor or a thread 
> pool with a bounded work queue as control tasks may submit subtasks that 
> can't complete until all sub tasks complete. Using an incorrectly configured 
> thread pool may cause a deadlock (I.E. the work queue is filled with control 
> tasks that can't finish until subtasks complete but subtasks can't execute 
> because the queue is filled).{quote}



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