You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/09/10 12:04:00 UTC

[jira] [Commented] (FLINK-9061) add entropy to s3 path for better scalability

    [ https://issues.apache.org/jira/browse/FLINK-9061?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16609074#comment-16609074 ] 

ASF GitHub Bot commented on FLINK-9061:
---------------------------------------

StefanRRichter commented on issue #6604: [FLINK-9061] Optionally add entropy to checkpoint paths better S3 scalability
URL: https://github.com/apache/flink/pull/6604#issuecomment-419888830
 
 
   👍  from my side in case you were waiting for that ;-)

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


> add entropy to s3 path for better scalability
> ---------------------------------------------
>
>                 Key: FLINK-9061
>                 URL: https://issues.apache.org/jira/browse/FLINK-9061
>             Project: Flink
>          Issue Type: Bug
>          Components: FileSystem, State Backends, Checkpointing
>    Affects Versions: 1.5.0, 1.4.2
>            Reporter: Jamie Grier
>            Assignee: Indrajit Roychoudhury
>            Priority: Critical
>              Labels: pull-request-available
>
> I think we need to modify the way we write checkpoints to S3 for high-scale jobs (those with many total tasks).  The issue is that we are writing all the checkpoint data under a common key prefix.  This is the worst case scenario for S3 performance since the key is used as a partition key.
>  
> In the worst case checkpoints fail with a 500 status code coming back from S3 and an internal error type of TooBusyException.
>  
> One possible solution would be to add a hook in the Flink filesystem code that allows me to "rewrite" paths.  For example say I have the checkpoint directory set to:
>  
> s3://bucket/flink/checkpoints
>  
> I would hook that and rewrite that path to:
>  
> s3://bucket/[HASH]/flink/checkpoints, where HASH is the hash of the original path
>  
> This would distribute the checkpoint write load around the S3 cluster evenly.
>  
> For reference: https://aws.amazon.com/premiumsupport/knowledge-center/s3-bucket-performance-improve/
>  
> Any other people hit this issue?  Any other ideas for solutions?  This is a pretty serious problem for people trying to checkpoint to S3.
>  
> -Jamie
>  



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)