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From "Vinod Kumar Vavilapalli (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (HADOOP-14381) S3AUtils.translateException to map 503 reponse to => throttling failure
Date Thu, 22 Mar 2018 05:17:00 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-14381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Vinod Kumar Vavilapalli resolved HADOOP-14381.
       Resolution: Duplicate
    Fix Version/s:     (was: 3.1.0)

> S3AUtils.translateException to map 503 reponse to => throttling failure
> -----------------------------------------------------------------------
>                 Key: HADOOP-14381
>                 URL: https://issues.apache.org/jira/browse/HADOOP-14381
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>    Affects Versions: 2.8.0
>            Reporter: Steve Loughran
>            Assignee: Steve Loughran
>            Priority: Major
> When AWS S3 returns "503", it means that the overall set of requests on a part of an
S3 bucket exceeds the permitted limit; the client(s) need to throttle back or away for some
rebalancing to complete.
> The aws SDK retries 3 times on a 503, but then throws it up. Our code doesn't do anything
with that other than create a generic {{AWSS3IOException}}.
> Proposed
> * add a new exception, {{AWSOverloadedException}}
> * raise it on a 503 from S3 (& for s3guard, on DDB complaints)
> * have it include a link to a wiki page on the topic, as well as the path
> * and any other diags
> Code talking to S3 may then be able to catch this and choose to react. Some retry with
exponential backoff is the obvious option. Failing, well, that could trigger task reattempts
at that part of the query, then job retry —which will again fail, *unless the number of
tasks run in parallel is reduced*
> As this throttling is across all clients talking to the same part of a bucket, fixing
it is potentially a high level option. We can at least start by reporting things better

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