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From "Aaron Fabbri (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-13904) DynamoDBMetadataStore to handle DDB throttling failures through retry policy
Date Thu, 16 Feb 2017 01:30:41 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-13904?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15868944#comment-15868944
] 

Aaron Fabbri commented on HADOOP-13904:
---------------------------------------

I did not find the SDK code that implements retries, but I just attached a screenshot showing
some of the testing I've done.

This is a >30 minute scale test run on a 1/1 capacity DDB table.  There were zero exceptions
surfaced with the current patch: retry logic is working as expected.

I will at least attach a new patch rebased on latest code.

> DynamoDBMetadataStore to handle DDB throttling failures through retry policy
> ----------------------------------------------------------------------------
>
>                 Key: HADOOP-13904
>                 URL: https://issues.apache.org/jira/browse/HADOOP-13904
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>    Affects Versions: HADOOP-13345
>            Reporter: Steve Loughran
>            Assignee: Aaron Fabbri
>         Attachments: HADOOP-13904-HADOOP-13345.001.patch, HADOOP-13904-HADOOP-13345.002.patch,
screenshot-1.png
>
>
> When you overload DDB, you get error messages warning of throttling, [as documented by
AWS|http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.Errors.html#Programming.Errors.MessagesAndCodes]
> Reduce load on DDB by doing a table lookup before the create, then, in table create/delete
operations and in get/put actions, recognise the error codes and retry using an appropriate
retry policy (exponential backoff + ultimate failure) 



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