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From "Sean Busbey (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HBASE-13992) Integrate SparkOnHBase into HBase
Date Tue, 28 Jul 2015 16:59:08 GMT

     [ https://issues.apache.org/jira/browse/HBASE-13992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Busbey updated HBASE-13992:
--------------------------------
      Resolution: Fixed
    Release Note: 
This release includes initial support for running Spark against HBase with a richer feature
set than was previously possible with MapReduce bindings:

* Support for Spark and Spark Streaming against Spark 1.3
* RDD/DStream formation from scan operations
* convenience methods for interacting with HBase from an HBase backed RDD / DStream instance
* examples in both the Spark Java API and Spark Scala API
* support for running against a secure HBase cluster
          Status: Resolved  (was: Patch Available)

pushed to master. Thanks [~ted.m]!

I've included a brief release note. If folks think there's something it needs added let me
know.

> Integrate SparkOnHBase into HBase
> ---------------------------------
>
>                 Key: HBASE-13992
>                 URL: https://issues.apache.org/jira/browse/HBASE-13992
>             Project: HBase
>          Issue Type: New Feature
>          Components: spark
>            Reporter: Ted Malaska
>            Assignee: Ted Malaska
>             Fix For: 2.0.0
>
>         Attachments: HBASE-13992.10.patch, HBASE-13992.11.patch, HBASE-13992.12.patch,
HBASE-13992.5.patch, HBASE-13992.6.patch, HBASE-13992.7.patch, HBASE-13992.8.patch, HBASE-13992.9.patch,
HBASE-13992.patch, HBASE-13992.patch.3, HBASE-13992.patch.4, HBASE-13992.patch.5
>
>
> 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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