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From "Mike Drob (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (ACCUMULO-2488) Concurrent randomwalk balance check needs refinement
Date Mon, 17 Mar 2014 21:16:46 GMT

    [ https://issues.apache.org/jira/browse/ACCUMULO-2488?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13938392#comment-13938392
] 

Mike Drob commented on ACCUMULO-2488:
-------------------------------------

The default balancer will allow a difference of up to the number of tables before it starts
moving tablets. In this case it sounds like you had at least 4 (metadata, trace, old table,
active table) and the largest difference was 3 (5-2), so the balancer did not do anything,
as intended.

> Concurrent randomwalk balance check needs refinement
> ----------------------------------------------------
>
>                 Key: ACCUMULO-2488
>                 URL: https://issues.apache.org/jira/browse/ACCUMULO-2488
>             Project: Accumulo
>          Issue Type: Test
>          Components: test
>    Affects Versions: 1.4.4
>            Reporter: Bill Havanki
>            Assignee: Bill Havanki
>            Priority: Minor
>              Labels: randomwalk, test
>
> The check for balanced tablets in the randomwalk Concurrent test too easily fails.
> Here is a real-life example from the test for the number of tablets across five tablet
servers: 2, 5, 2, 2, 3. (An old unrelated table plays into these totals.) This produces a
mean of 2.8. The cluster is considered unbalanced by the test when any server's count differs
from the mean by the larger of 1 or the mean divided by 5. In this case, 2.8/5 is less than
1, so the second tablet server fails since it has more than 3.8 tablets. Even a 4 would fail.
> Part of the problem in this particular case is that there are so few tablets, and so
few tablet servers. The cluster also seems happy to leave these counts as is, as I continue
to check it, so the test's definition of unbalanced is too narrow.
> The test needs to be refined to detect unbalanced conditions with a statistically decent
calculation.



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