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From "Steve Loughran (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HADOOP-13695) S3A to use a thread pool for async path operations
Date Thu, 24 Nov 2016 14:03:58 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-13695?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Steve Loughran updated HADOOP-13695:
    Parent Issue: HADOOP-13204  (was: HADOOP-11694)

> S3A to use a thread pool for async path operations
> --------------------------------------------------
>                 Key: HADOOP-13695
>                 URL: https://issues.apache.org/jira/browse/HADOOP-13695
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>    Affects Versions: 2.8.0
>            Reporter: Steve Loughran
> S3A path operations are often slow due to directory scanning, mock directory create/delete,
etc. Many of these can be done asynchronously
> * because deletion is eventually consistent, deleting parent dirs after an operation
has returned doesn't alter the behaviour, except in the special case of : operation failure.
> * scanning for paths/parents of a file in the create operation only needs to complete
before the close() operation instantiates the object, no need to block create().
> * parallelized COPY calls would permit asynchronous rename.
> We could either use the thread pool used for block writes, or somehow isolate low cost
path ops (GET, DELETE) from the more expensive calls (COPY, PUT) so that a thread doing basic
IO doesn't block for the duration of the long op. Maybe also use {{Semaphore.tryAcquire()}}
and only start async work if there actually is an idle thread, doing it synchronously if not.
Maybe it depends on the operation. path query/cleanup before/after a write is something which
could be scheduled as just more futures to schedule in the block write.

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