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https://issues.apache.org/jira/browse/SPARK-2447?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14200634#comment-14200634
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Patrick Wendell commented on SPARK-2447:
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Hey All,
I have a question about this - is there any reason this can't exist as a user
library instead of being merged into Spark itself? For these utility libraries
like this, I could see ones coming for Cassandra, Mongo, etc... I don't see it
scaling to put and maintain all of these in the Spark code base. At the same
time however, they are super useful.
As an alternative - what about if it was in HBase similar to e.g. the Hadoop
InputFormat implementation?
> 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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