Write Spark UI url to driver file on HDFS
Don't ignore spark.cores.max when using Mesos Coarse mode
Fixed a scaladoc typo in HadoopRDD.scala
Fixed typos in the CDH4 distributions version codes.
Merge pull request #171 from RIA-pierre-borckmans/master

Fixed typos in the CDH4 distributions version codes.

Nothing important, but annoying when doing a copy/paste...
Merge pull request #170 from liancheng/hadooprdd-doc-typo

Fixed a scaladoc typo in HadoopRDD.scala
Merge pull request #169 from kayousterhout/mesos_fix

Don't ignore spark.cores.max when using Mesos Coarse mode

totalCoresAcquired is decremented but never incremented, causing Spark to effectively ignore spark.cores.max in coarse grained Mesos mode.
Fix bug where scheduler could hang after task failure.

When a task fails, we need to call reviveOffers() so that the
task can be rescheduled on a different machine. In the current code,
the state in ClusterTaskSetManager indicating which tasks are
pending may be updated after revive offers is called (there's a
race condition here), so when revive offers is called, the task set
manager does not yet realize that there are failed tasks that need
to be relaunched.
Don't retry tasks when they fail due to a NotSerializableException
Merge pull request #174 from ahirreddy/master

Write Spark UI url to driver file on HDFS

This makes the SIMR code path simpler
Merge pull request #175 from kayousterhout/no_retry_not_serializable

Don't retry tasks when they fail due to a NotSerializableException

As with my previous pull request, this will be unit tested once the Cluster and Local schedulers get merged.
Merge pull request #173 from kayousterhout/scheduler_hang

Fix bug where scheduler could hang after task failure.

When a task fails, we need to call reviveOffers() so that the
task can be rescheduled on a different machine. In the current code,
the state in ClusterTaskSetManager indicating which tasks are
pending may be updated after revive offers is called (there's a
race condition here), so when revive offers is called, the task set
manager does not yet realize that there are failed tasks that need
to be relaunched.

This isn't currently unit tested but will be once my pull request for
merging the cluster and local schedulers goes in -- at which point
many more of the unit tests will exercise the code paths through
the cluster scheduler (currently the failure test suite uses the local
scheduler, which is why we didn't see this bug before).
Simple cleanup on Spark's Scala code while testing core and yarn modules:
-) Remove some of unused imports as I found them
-) Remove ";" in the imports statements
-) Remove () at the end of method call like size that does not have size effect.
Merge pull request #178 from hsaputra/simplecleanupcode

Simple cleanup on Spark's Scala code

Simple cleanup on Spark's Scala code while testing some modules:
-) Remove some of unused imports as I found them
-) Remove ";" in the imports statements
-) Remove () at the end of method calls like size that does not have size effect.
correct number of tasks in ExecutorsUI
Slightly enhanced PrimitiveVector:
1. Added trim() method
2. Added size method.
3. Renamed getUnderlyingArray to array.
4. Minor documentation update.
rename "a" to "statusId"
Return the vector itself for trim and resize method in PrimitiveVector.
Add PrimitiveVectorSuite and fix bug in resize()
Merge pull request #3 from aarondav/pv-test

Add PrimitiveVectorSuite and fix bug in resize()