Dataframe uses a more efficient binary representation to store and persist
data. You should go for that one in most of the cases. Rdd is slower.
> On 27 Jun 2016, at 07:54, Brandon White wrote:
>
> What is the difference between persisting a dataframe and a rdd? When I
> persist my RDD, the UI says it takes 50G or more of memory. When I persist my
> dataframe, the UI says it takes 9G or less of memory.
>
> Does the dataframe not persist the actual content? Is it better / faster to
> persist a RDD when doing a lot of filter, mapping, and collecting operations?
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