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https://issues.apache.org/jira/browse/FLINK-9061?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16544858#comment-16544858
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ASF GitHub Bot commented on FLINK-9061:
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Github user indrc commented on the issue:
https://github.com/apache/flink/pull/6302
@StephanEwen Thanks for your comments and feedback, my replies below
1. after talking to @StefanRRichter we decided to bring in this dependency
to use a standard library instead; initially the pr had an impl of random
generator function. Are you suggesting to revert to the old?
(And due to a squash, i lost the review comments; sorry about losing the
context)
2. the feature gets enabled through a new config key; the specific
constructor helps initializing the new feature. My thought was this way, it
doesn't get exposed to default codepath. Do you see a problem with this
approach?
3. sounds good, i will remove that warning.
> 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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