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From ll <duy.huynh....@gmail.com>
Subject mllib sparse vector/matrix vs. graphx graph
Date Sun, 05 Oct 2014 04:39:26 GMT
hi.  i am working on an algorithm that has a graph data structure.  

it looks like there 2 ways to implement this with spark

option 1:  use graphx which already provide Vetices and Edges to build out
the graph pretty nicely.

option 2:  use mllib sparse vector / matrix to build out the graph.  the
reason i consider mllib because it looks like it's more stable than graphx.

what are the pros and cons of these 2 options? 

when would you use one vs the other?

any advice is much appreciated!



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