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https://issues.apache.org/jira/browse/HADOOP-16430?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16923434#comment-16923434
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Steve Loughran commented on HADOOP-16430:
-----------------------------------------

committed -thanks for the review. Yes, I like a lot of the GH review mechanism, 
though I still also like the ability to do a quick summary. Sometimes I feel GH 
is more optimised for reviewing details than the overall patch. And once you 
start rebasing longer-lived patches, things get tricky.

Have a play with the vs.code github integration if you haven't -you can review 
the patch with all the code locally checked out, adding comments in the IDE. 
This is very slick, especially for acting on people's suggestions.

> S3AFilesystem.delete to incrementally update s3guard with deletions
> -------------------------------------------------------------------
>
>                 Key: HADOOP-16430
>                 URL: https://issues.apache.org/jira/browse/HADOOP-16430
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>    Affects Versions: 3.2.0, 3.3.0
>            Reporter: Steve Loughran
>            Assignee: Steve Loughran
>            Priority: Major
>         Attachments: Screenshot 2019-07-16 at 22.08.31.png
>
>
> Currently S3AFilesystem.delete() only updates the delete at the end of a 
> paged delete operation. This makes it slow when there are many thousands of 
> files to delete ,and increases the window of vulnerability to failures
> Preferred
> * after every bulk DELETE call is issued to S3, queue the (async) delete of 
> all entries in that post.
> * at the end of the delete, await the completion of these operations.
> * inside S3AFS, also do the delete across threads, so that different HTTPS 
> connections can be used.
> This should maximise DDB throughput against tables which aren't IO limited.
> When executed against small IOP limited tables, the parallel DDB DELETE 
> batches will trigger a lot of throttling events; we should make sure these 
> aren't going to trigger failures



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