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https://issues.apache.org/jira/browse/HBASE-2333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12846342#action_12846342
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Andrew Purtell commented on HBASE-2333:
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@Todd: Yes, opt-in.
> Automated anomoly report and anonymous usage statistics collection
> ------------------------------------------------------------------
>
> Key: HBASE-2333
> URL: https://issues.apache.org/jira/browse/HBASE-2333
> Project: Hadoop HBase
> Issue Type: New Feature
> Reporter: Andrew Purtell
> Priority: Minor
>
> Collection of anonymous usage data from users willing to participate can help
> the project in several ways:
> - Characterization of typical workloads
> - Long term trending of various performance metrics across releases
> This could be done by having the master collect information from the region
> servers and itself over a 24 hour period then send a report to a configured
> URL, some web service up on *.hbase.org. The information would be anonymized
> according to detail put up on the wiki. Each master would identify itself via
> a GUID built in part from MAC address. For the above items, only aggregated
> statistics are interesting, number of ops/hour/server, where ops are such
> things as get, put, scanner.next, split, compact, etc. At the same time,
> sample HDFS metrics and system metrics (cpu, ram, wio) over the same
> interval.
> Later some more involved reporting activities can be considered:
> - Trigger based autonomous switch to DEBUG mode and log collection for some
> period -- like automated crash reports -- given failure or stress indications.
> For this type of activity, table names, keys, and server names would be
> replaced with hashes of them, sufficient for event correlation for debugging
> but using cryptographically strong one way functions to fully obfuscate
> details of the application.
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