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From Michael Armbrust <mich...@databricks.com>
Subject Re: Dataframe v/s SparkSQL
Date Mon, 02 Mar 2015 21:51:21 GMT
They are the same.  These are just different ways to construct catalyst
logical plans.

On Mon, Mar 2, 2015 at 12:50 PM, Manoj Samel <manojsameltech@gmail.com>
wrote:

> Is it correct to say that Spark Dataframe APIs are implemented using same
> execution as SparkSQL ? In other words, while the dataframe API is
> different than SparkSQL, the runtime performance of equivalent constructs
> in Dataframe and SparkSQL should be same. So one should be able to choose
> whichever of the two (DF v/s SQL) suite the use cases and not worry about
> runtime performance.
>
> Pl comment ...
>
> Thanks,
>

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