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https://issues.apache.org/jira/browse/HBASE-28963?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17898832#comment-17898832
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Hudson commented on HBASE-28963:
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Results for branch branch-2.6
[build #241 on
builds.a.o|https://ci-hbase.apache.org/job/HBase%20Nightly/job/branch-2.6/241/]:
(x) *{color:red}-1 overall{color}*
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details (if available):
(/) {color:green}+1 general checks{color}
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report|https://ci-hbase.apache.org/job/HBase%20Nightly/job/branch-2.6/241/General_20Nightly_20Build_20Report/]
(/) {color:green}+1 jdk8 hadoop2 checks{color}
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report|https://ci-hbase.apache.org/job/HBase%20Nightly/job/branch-2.6/241/JDK8_20Nightly_20Build_20Report_20_28Hadoop2_29/]
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report|https://ci-hbase.apache.org/job/HBase%20Nightly/job/branch-2.6/241/JDK8_20Nightly_20Build_20Report_20_28Hadoop3_29/]
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(/) {color:green}+1 jdk17 hadoop3 checks{color}
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report|https://ci-hbase.apache.org/job/HBase%20Nightly/job/branch-2.6/241/JDK17_20Nightly_20Build_20Report_20_28Hadoop3_29/]
(x) {color:red}-1 jdk17 hadoop ${HADOOP_THREE_VERSION} backward compatibility
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(/) {color:green}+1 jdk17 hadoop ${HADOOP_THREE_VERSION} backward compatibility
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report|https://ci-hbase.apache.org/job/HBase%20Nightly/job/branch-2.6/241/JDK17_20Nightly_20Build_20Report_20_28Hadoop3_29/]
(/) {color:green}+1 source release artifact{color}
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(/) {color:green}+1 client integration test for HBase 2 {color}
(/) {color:green}+1 client integration test for 3.3.5 {color}
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> Updating Quota Factors is too expensive
> ---------------------------------------
>
> Key: HBASE-28963
> URL: https://issues.apache.org/jira/browse/HBASE-28963
> Project: HBase
> Issue Type: Improvement
> Affects Versions: 2.6.1
> Reporter: Ray Mattingly
> Assignee: Ray Mattingly
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0-alpha-1, 2.7.0, 3.0.0-beta-2, 2.6.2
>
> Attachments: image-2024-11-06-12-06-44-317.png,
> quota-refresh-hmaster.png
>
>
> My company is running Quotas across a few hundred clusters of varied size.
> One cluster has hundreds of servers and tens of thousands of regions. We
> noticed that the HMaster was quite busy for this cluster, and after some
> investigation we realized that RegionServers were hammering the HMaster's
> ClusterMetrics endpoint to facilitate the refreshing of table machine quota
> factors.
> There are a few things that we could do here — in a perfect world, I think
> the RegionServers would have a better P2P communication of region states, and
> whatever else is, necessary to derive new quota factors. Relying solely on
> the HMaster for this coordination creates a tricky bottleneck for the
> horizontal scalability of clusters.
> That said, I think that a simpler and preferable initial step would be to
> make our code a bit more cost conscious. At my company, for example, we don't
> even define any table-scoped quotas. Without any table scoped quotas in the
> cache, our cache could be much more thoughtful about the work that it chooses
> to do on each refresh. So I'm proposing that we check [the size of the
> tableQuotaCache
> keyset|https://github.com/apache/hbase/blob/db3ba44a4c692d26e70b6030fc519e92fd79f638/hbase-server/src/main/java/org/apache/hadoop/hbase/quotas/QuotaCache.java#L418]
> earlier, and use this inference to determine what ClusterMetrics we bother
> to fetch.
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