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Posted to dev@hbase.apache.org by "Bryan Beaudreault (Jira)" <ji...@apache.org> on 2022/11/22 18:30:00 UTC

[jira] [Resolved] (HBASE-27496) Optionally limit the amount of plans executed in the Normalizer

     [ https://issues.apache.org/jira/browse/HBASE-27496?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Bryan Beaudreault resolved HBASE-27496.
---------------------------------------
    Fix Version/s: 3.0.0-alpha-4
                   2.5.3
       Resolution: Fixed

Pushed to master, branch-2, branch-2.5

> Optionally limit the amount of plans executed in the Normalizer
> ---------------------------------------------------------------
>
>                 Key: HBASE-27496
>                 URL: https://issues.apache.org/jira/browse/HBASE-27496
>             Project: HBase
>          Issue Type: Improvement
>          Components: Normalizer
>            Reporter: Charles Connell
>            Priority: Minor
>             Fix For: 3.0.0-alpha-4, 2.5.3
>
>
> My company (Hubspot) is starting to use {{{}SimpleRegionNormalizer{}}}. We turn the normalizer switch on for 30 minutes each day, when our database traffic is at a low point. We're using theĀ {{hbase.normalizer.throughput.max_bytes_per_sec}} setting to create a rate limit. I've found that while the {{SimpleRegionNormalizer}} only produces new plans for 30 minutes each day, the plans often take many hours to execute. This leds to region splits, merges, and moves occurring in our HBase clusters during hours we'd prefer them not to.
> I propose a new setting {{{}hbase.normalizer.plans_size_limit.mb{}}}.
> This will allow HBase administrators to limit the number of plans processed by a run of {{{}RegionNormalizerWorker{}}}, by forcing it to stop processing new plans once the cumulative region size limits are exceeded. This will give you a way to limit approximately how long it takes to execute the plans. Because the current limit to execute plans is primarily determined by a per-byte rate limit, I propose that the new settings also work on a similar basis. This will make it feasible to reason about how your rate limit and your size limits interact.



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