====== Storing Data in Binary Format ======

It is also possible to store an ''RDD'' in a binary format, which has several advantages:
  - RDD can be saved an later loaded while preserving the element structure (e.g., elements can be for lists of pairs)
  - the resulting file is reasonably compact
  - saving and loading is fast
Nevertheless, note that the binary format is **different** in Python and in Scala.

===== Python =====

In Python, ''rdd.saveAsPickleFile'' is used to save the file and ''sc.pickleFile'' can load it:
<file python>
data.saveAsPickleFile(path)
...
loaded_data = sc.pickleFile(path)
</file>

===== Scala =====

In Scala, ''rdd.saveAsObjectFile'' is used to save the file and ''sc.objectFile'' can load it:
<file scala>
data.saveAsObjectFile(path)
...
val loaded_data = sc.objectFile(path)
</file>