The singleton hack works very different in spark 1.2.0 (it does not work if the program has multiple map-reduce jobs in the same program). I guess there should be an official documentation on how to have each machine/node do an init step locally before executing any other instructions (e.g. loading locally a very big object once at the begining that can be used in all further map jobs that will be assigned to that worker).
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