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https://issues.apache.org/jira/browse/HBASE-26178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Duo Zhang resolved HBASE-26178.
-------------------------------
    Fix Version/s: 3.0.0-alpha-2
                   2.5.0
     Hadoop Flags: Reviewed
       Resolution: Fixed

Pushed to master and branch-2.

Thanks [~claraxiong] for contributing.

> Improve data structure and algorithm for BalanceClusterState to improve 
> computation speed for large cluster
> -----------------------------------------------------------------------------------------------------------
>
>                 Key: HBASE-26178
>                 URL: https://issues.apache.org/jira/browse/HBASE-26178
>             Project: HBase
>          Issue Type: Bug
>          Components: Balancer, Performance
>            Reporter: Clara Xiong
>            Assignee: Clara Xiong
>            Priority: Major
>             Fix For: 2.5.0, 3.0.0-alpha-2
>
>
> With ~800 node and ~500 regions per node on our large production cluster, 
> balancer cannot complete within hours even after we just add 2% servers after 
> maintenance. 
> The unit tests with larger number of regions are taking longer and longer 
> with changes to balancer with recent changes too, evident with the increment 
> of the time limit recent PR's included.
> It is time to replace some of the data structure for better time complexity 
> including:
> int[][] regionsPerServer; // serverIndex -> region list
> int[][] regionsPerHost; // hostIndex -> list of regions
>  int[][] regionsPerRack; // rackIndex -> region list
> // serverIndex -> sorted list of regions by primary region index
>  ArrayList<HashSet<Integer>> primariesOfRegionsPerServer;
> // hostIndex -> sorted list of regions by primary region index
>  int[][] primariesOfRegionsPerHost;
> // rackIndex -> sorted list of regions by primary region index
>  int[][] primariesOfRegionsPerRack;
> Areas of algorithm improvement include:
>  # O(n ) to O(1) time to  lookup or update per server/host/rack for every 
> move test iteration.(n = number of regions per server/host/rack).
>  # O(n ) to O(1) time for reserse lookup of region index from primary index.
>  # Recomputation of primaryRegionCountSkewCostFunction reduced from O(n ) to 
> O(1)
>  



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