scala - Avoid RDD nested in Spark without Array -


i've big problem!

i have rdd[(int, vector)] , int sort of label.

for example : 

(0, (a,b,c) ); (0, (d,e,f) ); (1, (g,h,i) )

etc...

now, need use rdd(i call myrdd ) : 

myrdd.map{  case(l,v) =>     myrdd.map { case(l_, v_) =>        compare(v, v_)    } }

now, know it's impossible in spark use rdd nested.

i can bypass problem using array. problem can't use array, or goes in memory.

how resolve problem without using array?

thanks in advance!!!

cartesian sounds should work:

myrdd.cartesian(myrdd).map{   case ((_,v),(_,v_)) => compare(v,v_) }

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