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https://issues.apache.org/jira/browse/HBASE-13992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14631344#comment-14631344
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Lars Hofhansl commented on HBASE-13992:
---------------------------------------

Few nits:
* Comments in what's happening in the Scala and JavaHBase*Examples
* Might want to have a comment in *HBaseBulkDeleteExample.java explaining that 
it is probably better to use the built-in BulkDeleteEndpoint (which in turn we 
have to document better)
* Comment explaining in *HBaseDistributedScan as to why this is preferred over 
using Spark's built-in HadoopRDD with TableInputFormat or the included HBaseRDD 
(it's obvious, but hey, somebody might look at the classes and wonder why).
* I assume there's quite some heap needed to get the RDD resulting from a scan 
into a (RowKey, List[(columnFamily, columnQualifier, Value) (going by the 
article here). Can that be avoided if it is a problem? Or in other words, is 
there an easy to way to get a raw Result[] or List<Result>? ... sorry if I'm 
missing something.

Very excited about having this in HBase proper.


> 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.patch, HBASE-13992.patch.3, 
> HBASE-13992.patch.4
>
>
> 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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