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Posted to common-dev@hadoop.apache.org by "Xiaoqiao He (Jira)" <ji...@apache.org> on 2022/09/07 05:52:00 UTC

[jira] [Resolved] (HADOOP-18426) Improve the accuracy of MutableStat mean

     [ https://issues.apache.org/jira/browse/HADOOP-18426?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiaoqiao He resolved HADOOP-18426.
----------------------------------
    Fix Version/s: 3.4.0
     Hadoop Flags: Reviewed
       Resolution: Fixed

> Improve the accuracy of MutableStat mean
> ----------------------------------------
>
>                 Key: HADOOP-18426
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18426
>             Project: Hadoop Common
>          Issue Type: Bug
>            Reporter: Shuyan Zhang
>            Assignee: Shuyan Zhang
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 3.4.0
>
>
> The current MutableStat mean calculation method is more prone to loss accuracy because the sum of samples is too large. 
> Storing large integers in the double type results in a loss of accuracy. For example, 9223372036854775707 and 9223372036854775708 are both stored as doubles as 9223372036854776000. Therefore, we should try to avoid using the cumulative total sum method to calculate the average, but update the average every time we sample. All in all, we can process each sample on its own to improve mean accuracy.



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