[ 
https://issues.apache.org/jira/browse/HADOOP-13904?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15868982#comment-15868982
 ] 

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

Filed HADOOP-14087.

[~ste...@apache.org] any remaining concerns I didn't address here?  (See my 
[last 
reply|https://issues.apache.org/jira/browse/HADOOP-13904?focusedCommentId=15852047&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-15852047]
 to your comment.)

I got Sean's +1 above but wanted to make sure you are also happy (assuming 
Yetus comes back clean)

> 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, HADOOP-13904-HADOOP-13345.003.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) 



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: common-issues-unsubscr...@hadoop.apache.org
For additional commands, e-mail: common-issues-h...@hadoop.apache.org

Reply via email to