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https://issues.apache.org/jira/browse/HBASE-4038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13056825#comment-13056825
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Jason Rutherglen commented on HBASE-4038:
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@Nicolas Hot row handling would benefit greatly from a row level LRU cache, as
described in the BigTable paper. With a row cache, the 'cost' of the hotness
(seeking into the block) will be minimized to a hash lookup. Though agreed
that general diagnosis will/could be required to turn on row caching.
> Hot Region : Write Diagnosis
> ----------------------------
>
> Key: HBASE-4038
> URL: https://issues.apache.org/jira/browse/HBASE-4038
> Project: HBase
> Issue Type: Improvement
> Components: client, regionserver
> Affects Versions: 0.92.0
> Reporter: Nicolas Spiegelberg
> Assignee: Riley Patterson
> Priority: Minor
>
> We should provide a basic way for end users to operationally diagnose hot row
> problems. Thinking about a 2-phase approach:
> 1. Diagnose hot regions
> 2. Inspect those regions/servers to find the hot rows.
> To diagnose hot regions, we could query the master or regionservers for these
> regions + sort. To inspect the regions for hot rows, we could write another
> script to analyze the HLogs on a server and basically do: sort log|uniq
> -n|sort -n|top
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