Added MapPartitionsWithSplitRDD.

number of samples used for sorting

- takeSample was biased towards earlier partitions
- There were some range errors in takeSample
- SampledRDDs with replacement didn't produce appropriate counts
  across partitions (we took exactly frac of each one)

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Add spark-shell.cmd

Added a method to RDD to expose the ClassManifest.

Scripts to start Spark under windows

Separated ShuffledRDD into multiple classes.

Make default number of parallel fetches slightly smaller since it doesn't seem to hurt performance much and it will cause slightly less GC.

HTTP File server fixes

Scala collection one, which often *copies* a collection.

returning deserialized, in-memory RDDs.

Java Programming Guide