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From "Steve Loughran (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HADOOP-15231) WavefrontSink for Hadoop Metrics2
Date Wed, 14 Feb 2018 11:27:01 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-15231?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Steve Loughran updated HADOOP-15231:
------------------------------------
    Status: Patch Available  (was: Open)

Ignoring details like code style & state & lack of tests, why do you need to add the
sink into hadoop, rather than just as an adjacent JAR in its own package?

That should work, and will avoid the problems you'll encounter about persuading any backports.

FWIW, I can see the merits in HADOOP-15230, but here, it's adding something essentially untestable,
which the hadoop project would, by adding the class into our codebase, we'd be taking on the
responsibility of maintaining.

I really doubt anyone will be willing to do that

> WavefrontSink for Hadoop Metrics2
> ---------------------------------
>
>                 Key: HADOOP-15231
>                 URL: https://issues.apache.org/jira/browse/HADOOP-15231
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: metrics
>            Reporter: Howard Yoo
>            Priority: Minor
>              Labels: metrics, wavefront
>
> Wavefront is a SaaS based large scale real time metrics monitoring and analytic system
capable of monitoring many different source systems. There are several Sinks available in
Hadoop in order to capture various metrics to external system. The Wavefront data format follows
a similar format as that of Graphite, with the addition of native point tag support and source
value. The details are outlined here: [https://docs.wavefront.com/wavefront_data_format.html]
> It would be greatly helpful for both Hadoop and Wavefront to have a native integration using
 Wavefront Sink to send Hadoop related metrics to Wavefront Server.



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