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https://issues.apache.org/jira/browse/HBASE-21034?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16746427#comment-16746427
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Esteban Gutierrez commented on HBASE-21034:
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[~zghaobac]:
{quote}
This feature is small. And it was backported to branch-1. If we don't backport
this to branch-2.1 and a user use this feature in 1.x version, so can't rolling
upgrade to 2.1.* version?
{quote}
That can obviously be the case too while performing a rolling upgrading to a
previous maintenance release from branch-2.1 and thats why is important to
avoid this kind of things to happen. Even if this is a small feature as few
have mentioned here, it adds few changes to our pubf specs and I think thats
quite a stretch in a maintenance release.
> Add new throttle type: read/write capacity unit
> -----------------------------------------------
>
> Key: HBASE-21034
> URL: https://issues.apache.org/jira/browse/HBASE-21034
> Project: HBase
> Issue Type: Sub-task
> Affects Versions: 3.0.0, 2.2.0
> Reporter: Yi Mei
> Assignee: Yi Mei
> Priority: Major
> Fix For: 3.0.0, 2.2.0
>
> Attachments: HBASE-21034.branch-2.0.001.patch,
> HBASE-21034.branch-2.0.001.patch, HBASE-21034.branch-2.1.001.patch,
> HBASE-21034.branch-2.1.001.patch, HBASE-21034.master.001.patch,
> HBASE-21034.master.002.patch, HBASE-21034.master.003.patch,
> HBASE-21034.master.004.patch, HBASE-21034.master.005.patch,
> HBASE-21034.master.006.patch, HBASE-21034.master.006.patch,
> HBASE-21034.master.007.patch, HBASE-21034.master.007.patch
>
>
> Add new throttle type: read/write capacity unit like DynamoDB.
> One read capacity unit represents that read up to 1K data per time unit. If
> data size is more than 1K, then consume additional read capacity units.
> One write capacity unit represents that one write for an item up to 1 KB in
> size per time unit. If data size is more than 1K, then consume additional
> write capacity units.
> For example, 100 read capacity units per second means that, HBase user can
> read 100 times for 1K data in every second, or 50 times for 2K data in every
> second and so on.
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