[GitHub] spark pull request: [SPARK-1669 & SPARK-1379][SQL][WIP] Made Schem...

[kanzhang <gi...@git.apache.org>]

Github user kanzhang commented on the pull request:

    https://github.com/apache/spark/pull/829#issuecomment-44786769
  
    How about we keep the row format behavior and add columnar format behavior separately? For example, ```SchemaRDD.cache()``` and ```unpersist()``` stay as is and they operate on the row format. Independently, we add SchemaRDD.registerAsTable(tableName) and SchemaRDD.cacheAsTable(tableName), which operates on the columnar format. The latter will automatically register it as table and cache the table as ```InMemoryColumnarTableScan```. It can happen that a SchemaRDD is cached in both row and columnar formats, if the user so chooses.


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