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From "jon.g.massey" <>
Subject distributing Scala Map datatypes to RDD
Date Mon, 13 Oct 2014 21:02:07 GMT
Hi guys,
Just starting out with Spark and following through a few tutorials, it seems
the easiest way to get ones source data into an RDD is using the
sc.parallelize function. Unfortunately, my local data is in multiple
instances of Map<K,V> types, and the parallelize function only works on
objects with the Seq trait, and produces an RDD which seemingly doesn't then
have the notion of Keys and Values which I require for joins (amongst other

Is there a way of using a SparkContext to create a distributed RDD from a
local Map, rather than from a Hadoop or text file source?


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