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https://issues.apache.org/jira/browse/FLINK-9061?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16549386#comment-16549386
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Greg Hogan commented on FLINK-9061:
-----------------------------------

Not that we shouldn't implement the general purpose solution but Amazon looks 
to have increased the PUT rate from 100 to 3500 and the GET rate from 300 to 
5500:

"This S3 request rate performance increase removes any previous guidance to 
randomize object prefixes to achieve faster performance. That means you can now 
use logical or sequential naming patterns in S3 object naming without any 
performance implications."

https://aws.amazon.com/about-aws/whats-new/2018/07/amazon-s3-announces-increased-request-rate-performance/

> 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
>  



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