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From Apurva Nandan <apurva3...@gmail.com>
Subject RDD generated from Dataframes
Date Thu, 21 Apr 2016 13:49:39 GMT
Hello everyone,

Generally speaking, I guess it's well known that dataframes are much faster
than RDD when it comes to performance.
My question is how do you go around when it comes to transforming a
dataframe using map.
I mean then the dataframe gets converted into RDD, hence now do you again
convert this RDD to a new dataframe for better performance?
Further, if you have a process which involves series of transformations
i.e. from one RDD to another, do you keep on converting each RDD to a
dataframe first, all the time?

It's also possible that I might be missing something here, please share
your experiences.


Thanks and Regards,
Apurva

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