SPARK-968, In stage UI, add an overview section that shows task stats grouped by executor id
Merge branch 'master' of https://github.com/leftnoteasy/incubator-spark-1
Merge master into 127
SPARK-968, added sc finalize code to avoid akka rebinding to the same port
Removed superfluous abs call from test cases.
Fixed multiple file stream and checkpointing bugs.
- Made file stream more robust to transient failures.
- Changed Spark.setCheckpointDir API to not have the second
  'useExisting' parameter. Spark will always create a unique directory
  for checkpointing underneath the directory provide to the funtion.
- Fixed bug wrt local relative paths as checkpoint directory.
- Made DStream and RDD checkpointing use
  SparkContext.hadoopConfiguration, so that more HDFS compatible
  filesystems are supported for checkpointing.
Added BoundedPriorityQueue kryo registrator. Fixes top issue.
Merge pull request #97 from dcrankshaw/fix-rddtop

Added BoundedPriorityQueue kryo registrator. Fixes top issue.
Add standalone PageRank using only GraphX operators
Test standalone PageRank
Use standalone PageRank in Analytics
Remove static Pregel; take maxIters in dynamic Pregel
Refactored streaming scheduler and added listener interface.

- Refactored Scheduler + JobManager to JobGenerator + JobScheduler and
  added JobSet for cleaner code. Moved scheduler related code to
  streaming.scheduler package.
- Added StreamingListener trait (similar to SparkListener) to enable
  gathering to streaming stats like processing times and delays.
  StreamingContext.addListener() to added listeners.
- Deduped some code in streaming tests by modifying TestSuiteBase, and
  added StreamingListenerSuite.
Merge pull request #99 from ankurdave/only-dynamic-pregel

Remove static Pregel; take maxIterations in dynamic Pregel
Merge pull request #91 from amplab/standalone-pagerank

Standalone PageRank
Load edges in columnar format

In GraphLoader.edgeListFile, load edges directly into EdgePartitions,
avoiding repartitioning.
Don't partition edges by default; refactor

Instead, expose Graph.partitionBy(PartitionStrategy).
Fix argument bug and closure capture
Clean up imports in EdgeRDD
Remove calls to ClosureCleaner in GraphX

All Spark RDD methods already clean closures so we don't need to.