Hi Spark group, We haven't been able to find clear descriptions of how Spark handles the resiliency of RDDs in relationship to executing actions with side-effects. If you do an `rdd.foreach(someSideEffect)`, then you are doing a side-effect for each element in the RDD. If a partition goes down -- the resiliency rebuilds the data, but did it keep track of how far it go in the partition's set of data or will it start from the beginning again. So will it do at-least-once execution of foreach closures or at-most-once?
thanks, Michal
