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https://issues.apache.org/jira/browse/HBASE-13992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14643354#comment-14643354
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Sean Busbey commented on HBASE-13992:
-------------------------------------
{quote}
its probably best to put artifact versions in the root pom.xml, not the spark
one, for one single place for dependencies ... this will matter if >1 scala
module goes in.
{quote}
We've had a couple of folks (myself, Andrew) request all spark and scala
related bits be isolated to this module specifically because we don't have any
other scala modules yet and we want to minimize the reach of those dependencies
until we do. A top-level Scala version would require us to make a determination
now about handling Scala version incompatibilities, e.g. with different module
layouts.
{quote}
{{HBaseDStreamFunctionsSuite.scala}} has the wrong assumption.
{{assert(foo5.equals("bar"), foo4 + "!=bar")}}
Scalatest lets you use assertResult instead, for an auto-generated message
{code}assertResult("bar") { foo5 } {code}
And you can use == for a slightly less informative error message, but one which
still includes the values on either side
{quote}
sounds like a reasonable fixup.
> 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-13992.5.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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