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https://issues.apache.org/jira/browse/HADOOP-15729?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16609308#comment-16609308
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Sean Mackrory commented on HADOOP-15729:
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Assuming you allow the pool to kill core threads and don't pre-start all your 
threads (and I'm not opposed to adding configs to control these behaviors if 
anyone thinks it'd get used, but I think you'd have to be spending a *lot* of 
time on thread creation for that to be worth it), the only change in behavior 
when you specify a number of core threads is that the executor will always 
prefer to spawn a new thread rather than use an existing idle thread, and 
unless you're gradually ramping up a long-term workload I don't think that 
makes sense. This is inherently bursty, so I think the sensible approach is to 
just 0 as the number of core threads, allow it to expand as needed, and 
completely clean up when idle (and that period of time is already configurable).

I'll test a patch for this, but input welcome.

> [s3a] stop treat fs.s3a.max.threads as the long-term minimum
> ------------------------------------------------------------
>
>                 Key: HADOOP-15729
>                 URL: https://issues.apache.org/jira/browse/HADOOP-15729
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>            Reporter: Sean Mackrory
>            Assignee: Sean Mackrory
>            Priority: Major
>
> A while ago the s3a connector started experiencing deadlocks because the AWS 
> SDK requires an unbounded threadpool. It places monitoring tasks on the work 
> queue before the tasks they wait on, so it's possible (has even happened with 
> larger-than-default threadpools) for the executor to become permanently 
> saturated and deadlock.
> So we started giving an unbounded threadpool executor to the SDK, and using a 
> bounded, blocking threadpool service for everything else S3A needs (although 
> currently that's only in the S3ABlockOutputStream). fs.s3a.max.threads then 
> only limits this threadpool, however we also specified fs.s3a.max.threads as 
> the number of core threads in the unbounded threadpool, which in hindsight is 
> pretty terrible.
> Currently those core threads do not timeout, so this is actually setting a 
> sort of minimum. Once that many tasks have been submitted, the threadpool 
> will be locked at that number until it bursts beyond that, but it will only 
> spin down that far. If fs.s3a.max.threads is set reasonably high and someone 
> uses a bunch of S3 buckets, they could easily have thousands of idle threads 
> constantly.
> We should either not use fs.s3a.max.threads for the corepool size and 
> introduce a new configuration, or we should simply allow core threads to 
> timeout. I'm reading the OpenJDK source now to see what subtle differences 
> there are between core threads and other threads if core threads can timeout.



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