[jira] [Created] (HADOOP-15729) [s3a] stop treat fs.s3a.max.threads as the long-term minimum

["Sean Mackrory (JIRA)" <ji...@apache.org>]

Sean Mackrory created HADOOP-15729:
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             Summary: [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: Bug
            Reporter: Sean Mackrory
            Assignee: Sean Mackrory


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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