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From "octavian.ganea" <>
Subject Re: Avoid broacasting huge variables
Date Sun, 18 Jan 2015 12:56:59 GMT
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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