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MapReduce: Simplied Data Processing on Large Clusters

MapReduce library (implemented in C++). Appendix A contains the full program text for this example. 2.2 Types Eventhoughthepreviouspseudo-codeis written in terms of string inputs and outputs, conceptually the map and reduce functions supplied by the user have associated types: map (k1,v1) ! list(k2,v2) reduce (k2,list(v2)) ! list(v2)

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  Appendix, Mapreduce

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