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https://issues.apache.org/jira/browse/HBASE-7958?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13997320#comment-13997320
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Andrew Purtell commented on HBASE-7958:
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To make the statistics useful we could introduce CF level APIs for 
coprocessors, export to metrics2 handled by the regionserver, a cluster summary 
API handled by the master, and infrastructure for said API could be used to 
generate output or graphs on the master UI. 

> Statistics per-column family per-region
> ---------------------------------------
>
>                 Key: HBASE-7958
>                 URL: https://issues.apache.org/jira/browse/HBASE-7958
>             Project: HBase
>          Issue Type: New Feature
>    Affects Versions: 0.95.2
>            Reporter: Jesse Yates
>            Assignee: Jesse Yates
>         Attachments: hbase-7958-v0-parent.patch, hbase-7958-v0.patch, 
> hbase-7958_rough-cut-v0.patch
>
>
> Originating from this discussion on the dev list: 
> http://search-hadoop.com/m/coDKU1urovS/Simple+stastics+per+region/v=plain
> Essentially, we should have built-in statistics gathering for HBase tables. 
> This allows clients to have a better understanding of the distribution of 
> keys within a table and a given region. We could also surface this 
> information via the UI.
> There are a couple different proposals from the email, the overview is this:
> We add in something on compactions that gathers stats about the keys that are 
> written and then we surface them to a table.
> The possible proposals include:
> *How to implement it?*
> # Coprocessors - 
> ** advantage - it easily plugs in and people could pretty easily add their 
> own statistics. 
> ** disadvantage - UI elements would also require this, we get into dependent 
> loading, which leads down the OSGi path. Also, these CPs need to be installed 
> _after_ all the other CPs on compaction to ensure they see exactly what gets 
> written (doable, but a pain)
> # Built into HBase as a custom scanner
> ** advantage - always goes in the right place and no need to muck about with 
> loading CPs etc.
> ** disadvantage - less pluggable, at least for the initial cut
> *Where do we store data?*
> # .META.
> ** advantage - its an existing table, so we can jam it into another CF there
> ** disadvantage - this would make META much larger, possibly leading to 
> splits AND will make it much harder for other processes to read the info
> # A new stats table
> ** advantage - cleanly separates out the information from META
> ** disadvantage - should use a 'system table' idea to prevent accidental 
> deletion, manipulation by arbitrary clients, but still allow clients to read 
> it.
> Once we have this framework, we can then move to an actual implementation of 
> various statistics.



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