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 functions).
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? Thanks, Jon -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/distributing-Scala-Map-datatypes-to-RDD-tp16320.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
