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Posted to issues@flink.apache.org by "Chesnay Schepler (JIRA)" <ji...@apache.org> on 2018/10/17 08:49:00 UTC
[jira] [Closed] (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:all-tabpanel ]
Chesnay Schepler closed FLINK-9061.
-----------------------------------
> 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: 1.4.2, 1.5.0
> Reporter: Jamie Grier
> Assignee: Indrajit Roychoudhury
> Priority: Critical
> Labels: pull-request-available
> Fix For: 1.6.2, 1.7.0
>
>
> 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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