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