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https://issues.apache.org/jira/browse/HIVE-7333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14209302#comment-14209302
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Kiran Lonikar commented on HIVE-7333:
-------------------------------------

Hi Rui,

Thanks for your quick reply. I did not mean to ask about specific record reader 
or serde. My question was about RDD since thats what you deal with in spark. 
The spark sql component uses SchemaRDD which is row wise. Just to be clear, I 
am not reporting any problems with this JIRA or your implementation.

I think columnar structure has its advantages and thats what hive vectorization 
did (https://issues.apache.org/jira/browse/HIVE-4160). The earlier SQL 
implementation shark also had some kind of columnar structure. I am not sure 
this spark on hive is preserving it. May be I should ask this at the parent 
JIRA.

-Kiran

> Create RDD translator, translating Hive Tables into Spark RDDs [Spark Branch]
> -----------------------------------------------------------------------------
>
>                 Key: HIVE-7333
>                 URL: https://issues.apache.org/jira/browse/HIVE-7333
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Xuefu Zhang
>            Assignee: Rui Li
>              Labels: Spark-M1
>
> Please refer to the design specification.



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