From Apache Spark FAQ's:
Spark's operators spill data to disk if it does not fit in memory, allowing it to run well on any sized data. Likewise, cached datasets that do not fit in memory are either spilled to disk or recomputed on the fly when needed, as determined by the RDD's storage level.
Refer below link to know more about storage levels and how to choose appropriate one between these levels: programming-guide.html
