loops - huge files spark sort and iterate through the whole data set -

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i new spark , still don't understand if developer needs aware of parallelism. transparent developer. problem following. need sort records (by cityid , timestamp) large number of large files , need iterate through sorted records in loop , calculation. can not group because order of records (by timestamp) same city important calculation. how can in spark?
using rdd , iterate through means on 1 machine because need whole data set , data can not fit on same machine. right?
i read lot rdds still missing part, if data can not fit on same machine, same rdd , want iterate through data in 1 loop.. need control something? there way have 1 loop across cluster?

in general:

  • if computation sequential (loop on records) spark won't provide advantage.

here (if order important in groups defined city):

  • partition data city
  • sort date
  • perform sequential computations on each partition

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