[SPARK-4818][Core] Add 'iterator' to reduce memory consumed by join

In Scala, `map` and `flatMap` of `Iterable` will copy the contents of `Iterable` to a new `Seq`. Such as,
```Scala
  val iterable = Seq(1, 2, 3).map(v => {
    println(v)
    v
  })
  println("Iterable map done")

  val iterator = Seq(1, 2, 3).iterator.map(v => {
    println(v)
    v
  })
  println("Iterator map done")
```
outputed
```
1
2
3
Iterable map done
Iterator map done
```
So we should use 'iterator' to reduce memory consumed by join.

Found by Johannes Simon in http://mail-archives.apache.org/mod_mbox/spark-user/201412.mbox/%3C5BE70814-9D03-4F61-AE2C-0D63F2DE4446%40mail.de%3E

Author: zsxwing <zsxwing@gmail.com>

Closes #3671 from zsxwing/SPARK-4824 and squashes the following commits:

48ee7b9 [zsxwing] Remove the explicit types
95d59d6 [zsxwing] Add 'iterator' to reduce memory consumed by join

(cherry picked from commit c233ab3d8d75a33495298964fe73dbf7dd8fe305)
Signed-off-by: Josh Rosen <joshrosen@databricks.com>

Conflicts:
	core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
Spark shell class path is not correctly set if "spark.driver.extraClassPath" is set in defaults.conf
review commit
move usejavacp opt to spark-shell