Fix hash bug

Fix an instance where full standalone mode executor IDs were passed to

Small tweaks to MLlib docs

Job scheduling and cluster mode docs

updated content

Clean-up of Metrics Code/Docs and Add Ganglia Sink

StandaloneSchedulerBackend instead of the smaller IDs used within Spark
(that lack the application name).

This was reported by ClearStory in
https://github.com/clearstorydata/spark/pull/9.

Also fixed some messages that said slave instead of executor.

Fix target JVM version in scala build

SPARK-660: Add StorageLevel support in Python

details on monitoring

Also changed uses of "job" terminology to "application" when they
referred to an entire Spark program, to avoid confusion.

- Add job scheduling docs
- Rename some fair scheduler properties
- Organize intro page better
- Link to Apache wiki for "contributing to Spark"

Provide docs to describe running on CDH/HDP cluster.

Adding Apache license to two files

0.8 Doc changes for make-distribution.sh

Fixed the bug that ResultTask was not properly deserializing outputId.

The sc.StorageLevel -> StorageLevel pathway is a bit janky, but otherwise
the shell would have to call a private method of SparkContext. Having
StorageLevel available in sc also doesn't seem like the end of the world.
There may be a better solution, though.

As for creating the StorageLevel object itself, this seems to be the best
way in Python 2 for creating singleton, enum-like objects:
http://stackoverflow.com/questions/36932/how-can-i-represent-an-enum-in-python

YARN build fixes