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Posted to issues@hbase.apache.org by "Sean Busbey (JIRA)" <ji...@apache.org> on 2017/06/06 17:52:18 UTC

[jira] [Updated] (HBASE-18164) Much faster locality cost function and candidate generator

     [ https://issues.apache.org/jira/browse/HBASE-18164?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Busbey updated HBASE-18164:
--------------------------------
    Priority: Critical  (was: Minor)

> Much faster locality cost function and candidate generator
> ----------------------------------------------------------
>
>                 Key: HBASE-18164
>                 URL: https://issues.apache.org/jira/browse/HBASE-18164
>             Project: HBase
>          Issue Type: Improvement
>          Components: Balancer
>            Reporter: Kahlil Oppenheimer
>            Assignee: Kahlil Oppenheimer
>            Priority: Critical
>
> We noticed that during the stochastic load balancer was not scaling well with cluster size. That is to say that on our smaller clusters (~17 tables, ~12 region servers, ~5k regions), the balancer considers ~100,000 cluster configurations in 60s per balancer run, but only ~5,000 per 60s on our bigger clusters (~82 tables, ~160 region servers, ~13k regions) .
> Because of this, our bigger clusters are not able to converge on balance as quickly for things like table skew, region load, etc. because the balancer does not have enough time to "think".
> We have re-written the locality cost function to be incremental, meaning it only recomputes cost based on the most recent region move proposed by the balancer, rather than recomputing the cost across all regions/servers every iteration.
> Further, we also cache the locality of every region on every server at the beginning of the balancer's execution for both the LocalityBasedCostFunction and the LocalityCandidateGenerator to reference. This way, they need not collect all HDFS blocks of every region at each iteration of the balancer.
> The changes have been running in all 6 of our production clusters and all 4 QA clusters without issue. The speed improvements we noticed are massive. Our big clusters now consider 20x more cluster configurations.
> We are currently preparing a patch for submission.



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