The thing about yarn is you chose what is right for the the workload.

For example: Spark may not the right choice if for example join tables do
not fit in memory.

On Wednesday, March 5, 2014, Anthony Mattas <[email protected]> wrote:
> With Tez and Spark becoming mainstream what does Map Reduce look like
longer term? Will it become a component that sits on top of Tez, or will
they continue to live side by side utilizing YARN?
> I'm struggling a little bit to understand what the roadmap looks like for
the technologies that sit on top of YARN.
>
> Anthony Mattas
> [email protected]

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