[jira] [Updated] (HBASE-27224) HFile tool statistic sampling produces misleading results

["Bryan Beaudreault (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HBASE-27224?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Bryan Beaudreault updated HBASE-27224:
--------------------------------------
    Assignee: Bryan Beaudreault
      Labels: patch-available  (was: )
      Status: Patch Available  (was: Open)

I went ahead with the MutableRangeHistogram approach:

https://github.com/apache/hbase/pull/4635

> HFile tool statistic sampling produces misleading results
> ---------------------------------------------------------
>
>                 Key: HBASE-27224
>                 URL: https://issues.apache.org/jira/browse/HBASE-27224
>             Project: HBase
>          Issue Type: Improvement
>            Reporter: Bryan Beaudreault
>            Assignee: Bryan Beaudreault
>            Priority: Major
>              Labels: patch-available
>
> HFile tool uses codahale metrics for collecting statistics about key/values in an HFile. We recently had a case where the statistics printed out that the max row size was only 25k. This was confusing because I was seeing bucket cache allocation failures for blocks as large as 1.5mb. 
> Digging in, I was able to find the large row using the "-p" argument (which was obviously very verbose). Once I found the row, I saw the vlen was listed as ~1.5mb which made much more sense.
> First thing I notice here is that default codahale metrics histogram is using ExponentiallyDecayingReservoir. This probably makes sense for a long-lived histogram, but the HFile tool is run at a point in time. It might be best to use UniformReservoir instead.
> Secondly, we do not need sampling for min/max. Let's supplement the histogram with our own calculation which is guaranteed to be accurate for the entirety of the file.



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