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https://issues.apache.org/jira/browse/HBASE-20226?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16411165#comment-16411165
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Steve Loughran commented on HBASE-20226:
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Amazon throttle DELETE to the same shared, so speedup will be sublinear, even
though the cost of a delete/bulk delete is low in terms of network traffic.
f you are doing bulk deletes in > 1 it's probably best to do a bit of shuffling
of the list of directories to delete before queuing the operations.
> Performance Improvement Taking Large Snapshots In Remote Filesystems
> --------------------------------------------------------------------
>
> Key: HBASE-20226
> URL: https://issues.apache.org/jira/browse/HBASE-20226
> Project: HBase
> Issue Type: Improvement
> Components: snapshots
> Affects Versions: 1.4.0
> Environment: HBase 1.4.0 running on an AWS EMR cluster with the
> hbase.rootdir set to point to a folder in S3
> Reporter: Saad Mufti
> Priority: Minor
> Attachments: HBASE-20226..01.patch
>
>
> When taking a snapshot of any table, one of the last steps is to delete the
> region manifests, which have already been rolled up into a larger overall
> manifest and thus have redundant information.
> This proposal is to do the deletion in a thread pool bounded by
> hbase.snapshot.thread.pool.max . For large tables with a lot of regions, the
> current single threaded deletion is taking longer than all the rest of the
> snapshot tasks when the Hbase data and the snapshot folder are both in a
> remote filesystem like S3.
> I have a patch for this proposal almost ready and will submit it tomorrow for
> feedback, although I haven't had a chance to write any tests yet.
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