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https://issues.apache.org/jira/browse/HADOOP-18426?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18035182#comment-18035182
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ASF GitHub Bot commented on HADOOP-18426:
-----------------------------------------
github-actions[bot] commented on PR #4811:
URL: https://github.com/apache/hadoop/pull/4811#issuecomment-3483177090
We're closing this stale PR because it has been open for 100 days with no
activity. This isn't a judgement on the merit of the PR in any way. It's just a
way of keeping the PR queue manageable.
If you feel like this was a mistake, or you would like to continue working
on it, please feel free to re-open it and ask for a committer to remove the
stale tag and review again.
Thanks all for your contribution.
> Improve the accuracy of MutableStat mean
> ----------------------------------------
>
> Key: HADOOP-18426
> URL: https://issues.apache.org/jira/browse/HADOOP-18426
> Project: Hadoop Common
> Issue Type: Bug
> Components: common
> Affects Versions: 3.4.0
> 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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