[jira] [Work started] (HADOOP-14303) Review retry logic on all S3 SDK calls, implement where needed

["Steve Loughran (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HADOOP-14303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Work on HADOOP-14303 started by Steve Loughran.
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> Review retry logic on all S3 SDK calls, implement where needed
> --------------------------------------------------------------
>
>                 Key: HADOOP-14303
>                 URL: https://issues.apache.org/jira/browse/HADOOP-14303
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>    Affects Versions: 2.8.0
>            Reporter: Steve Loughran
>            Assignee: Steve Loughran
>
> AWS S3, IAM, KMS, DDB etc all throttle callers: the S3A code needs to handle this without failing, as if it slows down its requests it can recover.
> 1. Look at all the places where we are calling S3A via the AWS SDK and make sure we are retrying with some backoff & jitter policy, ideally something unified. This must be more systematic than the case-by-case, problem-by-problem strategy we are implicitly using.
> 2. Many of the AWS S3 SDK calls do implement retry (e.g PUT/multipart PUT), but we need to check the other parts of the process: login, initiate/complete MPU, ...
> Related
> HADOOP-13811 Failed to sanitize XML document destined for handler class
> HADOOP-13664 S3AInputStream to use a retry policy on read failures
> This stuff is all hard to test. A key need is to be able to differentiate recoverable throttle & network failures from unrecoverable problems like: auth, network config (e.g bad endpoint), etc.
> May be the opportunity to add a faulting subclass of Amazon S3 client which can be configured in IT Tests to fail at specific points. Ryan Blue's mcok S3 client does this in HADOOP-13786, but it is for 100% mock. I'm thinking of something with similar fault raising, but in front of the real S3A client 



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