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https://issues.apache.org/jira/browse/SPARK-2447?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14080653#comment-14080653
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Tathagata Das edited comment on SPARK-2447 at 7/31/14 8:41 AM:
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I took a brief look at SPARK-1127 as well. I think both the PRs have their 
merits. We should consider consolidating the functionalities that they provide.

The relevant PR is this https://github.com/apache/spark/pull/194/files

 [~ted.m] can you take a look at this PR as well. I think the saveAsHBaseFile 
is a simpler interface that may be worth supporting if there is enough use of 
this simple interface (which assumes that all rows have same column structure). 


was (Author: tdas):
I took a brief look at SPARK-1127 as well. I think both the PRs have their 
merits. We should consider consolidating the functionalities that they provide.

The relevant PR is this https://github.com/apache/spark/pull/194/files

 [~ted.m]

> Add common solution for sending upsert actions to HBase (put, deletes, and 
> increment)
> -------------------------------------------------------------------------------------
>
>                 Key: SPARK-2447
>                 URL: https://issues.apache.org/jira/browse/SPARK-2447
>             Project: Spark
>          Issue Type: New Feature
>          Components: Spark Core, Streaming
>            Reporter: Ted Malaska
>            Assignee: Ted Malaska
>
> Going to review the design with Tdas today.  
> But first thoughts is to have an extension of VoidFunction that handles the 
> connection to HBase and allows for options such as turning auto flush off for 
> higher through put.
> Need to answer the following questions first.
> - Can it be written in Java or should it be written in Scala?
> - What is the best way to add the HBase dependency? (will review how Flume 
> does this as the first option)
> - What is the best way to do testing? (will review how Flume does this as the 
> first option)
> - How to support python? (python may be a different Jira it is unknown at 
> this time)
> Goals:
> - Simple to use
> - Stable
> - Supports high load
> - Documented (May be in a separate Jira need to ask Tdas)
> - Supports Java, Scala, and hopefully Python
> - Supports Streaming and normal Spark



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