Hi
Playing around with Spark & S3, I'm opening multiple objects (CSV files) with:
val hfile = sc.textFile("s3n://bucket/2014-04-28/")
so hfile is a RDD representing 10 objects that were "underneath" 2014-04-28.
After I've sorted and otherwise transformed the content, I'm trying to write it
back to a single object:
sortedMap.values.map(_.mkString(",")).saveAsTextFile("s3n://bucket/concatted.csv")
unfortunately this results in a "folder" named concatted.csv with 10 objects
underneath, part-00000 .. part-00010, corresponding to the 10 original objects
loaded.
How can I achieve the desired behaviour of putting a single object named
concatted.csv ?
I've tried 0.9.1 and 1.0.0-RC3.
Thanks!
Peter