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From "Sean Busbey (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-13992) Integrate SparkOnHBase into HBase
Date Mon, 29 Jun 2015 22:39:04 GMT

    [ https://issues.apache.org/jira/browse/HBASE-13992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14606567#comment-14606567

Sean Busbey commented on HBASE-13992:

It sounds like so far everyone agrees that as a feature it's a good idea. Feature additions
are handled by lazy consensus; so long as someone wants to work on a feature it's up to those
who oppose it to speak up to avoid moving forward.

Normally the way we'd proceed is you as the contributor would post a short document describing
the feature: the problem, the overall approach, some light implementation details. In this
case, I personally think the existing materials provide enough context to move forward.

The next step after that would be for you to post a patch that adds a new module with the
implementation. If you ran into trouble as you went, you'd post a question either here or
on dev@hbase and one or more committers would step up to help.

What kind of guidance are you looking for? I'm particularly interested in how our contributor
guide could provide the needed groundwork for folks to work on complex features like this.

> Integrate SparkOnHBase into HBase
> ---------------------------------
>                 Key: HBASE-13992
>                 URL: https://issues.apache.org/jira/browse/HBASE-13992
>             Project: HBase
>          Issue Type: Bug
>            Reporter: Ted Malaska
>            Assignee: Ted Malaska
>              Labels: spark
> This Jira is to ask if SparkOnHBase can find a home in side HBase core.
> Here is the github: 
> https://github.com/cloudera-labs/SparkOnHBase
> I am the core author of this project and the license is Apache 2.0
> A blog explaining this project is here
> http://blog.cloudera.com/blog/2014/12/new-in-cloudera-labs-sparkonhbase/
> A spark Streaming example is here
> http://blog.cloudera.com/blog/2014/11/how-to-do-near-real-time-sessionization-with-spark-streaming-and-apache-hadoop/
> A real customer using this in produce is blogged here
> http://blog.cloudera.com/blog/2015/03/how-edmunds-com-used-spark-streaming-to-build-a-near-real-time-dashboard/
> Please debate and let me know what I can do to make this happen.

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