This was added to the check for the assembly jar, forgot it for the datanucleus jars.

Author: Aaron Davidson <aaron@databricks.com>

Closes #361 from aarondav/cc and squashes the following commits:

8facc16 [Aaron Davidson] SPARK-1445: compute-classpath should not print error if lib_managed not found

Author: Kan Zhang <kzhang@apache.org>

Closes #318 from kanzhang/SPARK-1348 and squashes the following commits:

e625a5f [Kan Zhang] reverting the changes to startJettyServer()
7a8084e [Kan Zhang] SPARK-1348 binding Master, Worker, and App Web UI to all interfaces

Small nit cleanup to remove extra semicolon and unused import in Yarn's stable ApplicationMaster (it bothers me every time I saw it)

Author: Henry Saputra <hsaputra@apache.org>

Closes #358 from hsaputra/nitcleanup_removesemicolon_import_applicationmaster and squashes the following commits:

bffb685 [Henry Saputra] Remove extra semicolon in import statement and unused import in ApplicationMaster.scala

Previously, when jobs were cancelled, not all of the state in the
DAGScheduler was cleaned up, leading to a slow memory leak in the
DAGScheduler.  As we expose easier ways to cancel jobs, it's more
important to fix these issues.

This commit also fixes a second and less serious problem, which is that
previously, when a stage failed, not all of the appropriate stages
were cancelled.  See the "failure of stage used by two jobs" test
for an example of this.  This just meant that extra work was done, and is
not a correctness problem.

This commit adds 3 tests.  “run shuffle with map stage failure” is
a new test to more thoroughly test this functionality, and passes on
both the old and new versions of the code.  “trivial job
cancellation” fails on the old code because all state wasn’t cleaned
up correctly when jobs were cancelled (we didn’t remove the job from
resultStageToJob).  “failure of stage used by two jobs” fails on the
old code because taskScheduler.cancelTasks wasn’t called for one of
the stages (see test comments).

This should be checked in before #246, which makes it easier to
cancel stages / jobs.

Author: Kay Ousterhout <kayousterhout@gmail.com>

Closes #305 from kayousterhout/incremental_abort_fix and squashes the following commits:

f33d844 [Kay Ousterhout] Mark review comments
9217080 [Kay Ousterhout] Properly cleanup DAGScheduler on job cancellation.

Current version of StreamingContext.stop() directly kills all the data receivers (NetworkReceiver) without waiting for the data already received to be persisted and processed. This PR provides the fix. Now, when the StreamingContext.stop() is called, the following sequence of steps will happen.
1. The driver will send a stop signal to all the active receivers.
2. Each receiver, when it gets a stop signal from the driver, first stop receiving more data, then waits for the thread that persists data blocks to BlockManager to finish persisting all receive data, and finally quits.
3. After all the receivers have stopped, the driver will wait for the Job Generator and Job Scheduler to finish processing all the received data.

It also fixes the semantics of StreamingContext.start and stop. It will throw appropriate errors and warnings if stop() is called before start(), stop() is called twice, etc.

Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes #247 from tdas/graceful-shutdown and squashes the following commits:

61c0016 [Tathagata Das] Updated MIMA binary check excludes.
ae1d39b [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into graceful-shutdown
6b59cfc [Tathagata Das] Minor changes based on Andrew's comment on PR.
d0b8d65 [Tathagata Das] Reduced time taken by graceful shutdown unit test.
f55bc67 [Tathagata Das] Fix scalastyle
c69b3a7 [Tathagata Das] Updates based on Patrick's comments.
c43b8ae [Tathagata Das] Added graceful shutdown to Spark Streaming.

This PR allows Spark to automatically cleanup metadata and data related to persisted RDDs, shuffles and broadcast variables when the corresponding RDDs, shuffles and broadcast variables fall out of scope from the driver program. This is still a work in progress as broadcast cleanup has not been implemented.

**Implementation Details**
A new class `ContextCleaner` is responsible cleaning all the state. It is instantiated as part of a `SparkContext`. RDD and ShuffleDependency classes have overridden `finalize()` function that gets called whenever their instances go out of scope. The `finalize()` function enqueues the object’s identifier (i.e. RDD ID, shuffle ID, etc.) with the `ContextCleaner`, which is a very short and cheap operation and should not significantly affect the garbage collection mechanism. The `ContextCleaner`, on a different thread, performs the cleanup, whose details are given below.

*RDD cleanup:*
`ContextCleaner` calls `RDD.unpersist()` is used to cleanup persisted RDDs. Regarding metadata, the DAGScheduler automatically cleans up all metadata related to a RDD after all jobs have completed. Only the `SparkContext.persistentRDDs` keeps strong references to persisted RDDs. The `TimeStampedHashMap` used for that has been replaced by `TimeStampedWeakValueHashMap` that keeps only weak references to the RDDs, allowing them to be garbage collected.

*Shuffle cleanup:*
New BlockManager message `RemoveShuffle(<shuffle ID>)` asks the `BlockManagerMaster` and currently active `BlockManager`s to delete all the disk blocks related to the shuffle ID. `ContextCleaner` cleans up shuffle data using this message and also cleans up the metadata in the `MapOutputTracker` of the driver. The `MapOutputTracker` at the workers, that caches the shuffle metadata, maintains a `BoundedHashMap` to limit the shuffle information it caches. Refetching the shuffle information from the driver is not too costly.

*Broadcast cleanup:*
To be done. [This PR](https://github.com/apache/incubator-spark/pull/543/) adds mechanism for explicit cleanup of broadcast variables. `Broadcast.finalize()` will enqueue its own ID with ContextCleaner and the PRs mechanism will be used to unpersist the Broadcast data.

*Other cleanup:*
`ShuffleMapTask` and `ResultTask` caches tasks and used TTL based cleanup (using `TimeStampedHashMap`), so nothing got cleaned up if TTL was not set. Instead, they now use `BoundedHashMap` to keep a limited number of map output information. Cost of repopulating the cache if necessary is very small.

**Current state of implementation**
Implemented RDD and shuffle cleanup. Things left to be done are.
- Cleaning up for broadcast variable still to be done.
- Automatic cleaning up keys with empty weak refs as values in `TimeStampedWeakValueHashMap`

Author: Tathagata Das <tathagata.das1565@gmail.com>
Author: Andrew Or <andrewor14@gmail.com>
Author: Roman Pastukhov <ignatich@mail.ru>

Closes #126 from tdas/state-cleanup and squashes the following commits:

61b8d6e [Tathagata Das] Fixed issue with Tachyon + new BlockManager methods.
f489fdc [Tathagata Das] Merge remote-tracking branch 'apache/master' into state-cleanup
d25a86e [Tathagata Das] Fixed stupid typo.
cff023c [Tathagata Das] Fixed issues based on Andrew's comments.
4d05314 [Tathagata Das] Scala style fix.
2b95b5e [Tathagata Das] Added more documentation on Broadcast implementations, specially which blocks are told about to the driver. Also, fixed Broadcast API to hide destroy functionality.
41c9ece [Tathagata Das] Added more unit tests for BlockManager, DiskBlockManager, and ContextCleaner.
6222697 [Tathagata Das] Fixed bug and adding unit test for removeBroadcast in BlockManagerSuite.
104a89a [Tathagata Das] Fixed failing BroadcastSuite unit tests by introducing blocking for removeShuffle and removeBroadcast in BlockManager*
a430f06 [Tathagata Das] Fixed compilation errors.
b27f8e8 [Tathagata Das] Merge pull request #3 from andrewor14/cleanup
cd72d19 [Andrew Or] Make automatic cleanup configurable (not documented)
ada45f0 [Andrew Or] Merge branch 'state-cleanup' of github.com:tdas/spark into cleanup
a2cc8bc [Tathagata Das] Merge remote-tracking branch 'apache/master' into state-cleanup
c5b1d98 [Andrew Or] Address Patrick's comments
a6460d4 [Andrew Or] Merge github.com:apache/spark into cleanup
762a4d8 [Tathagata Das] Merge pull request #1 from andrewor14/cleanup
f0aabb1 [Andrew Or] Correct semantics for TimeStampedWeakValueHashMap + add tests
5016375 [Andrew Or] Address TD's comments
7ed72fb [Andrew Or] Fix style test fail + remove verbose test message regarding broadcast
634a097 [Andrew Or] Merge branch 'state-cleanup' of github.com:tdas/spark into cleanup
7edbc98 [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into state-cleanup
8557c12 [Andrew Or] Merge github.com:apache/spark into cleanup
e442246 [Andrew Or] Merge github.com:apache/spark into cleanup
88904a3 [Andrew Or] Make TimeStampedWeakValueHashMap a wrapper of TimeStampedHashMap
fbfeec8 [Andrew Or] Add functionality to query executors for their local BlockStatuses
34f436f [Andrew Or] Generalize BroadcastBlockId to remove BroadcastHelperBlockId
0d17060 [Andrew Or] Import, comments, and style fixes (minor)
c92e4d9 [Andrew Or] Merge github.com:apache/spark into cleanup
f201a8d [Andrew Or] Test broadcast cleanup in ContextCleanerSuite + remove BoundedHashMap
e95479c [Andrew Or] Add tests for unpersisting broadcast
544ac86 [Andrew Or] Clean up broadcast blocks through BlockManager*
d0edef3 [Andrew Or] Add framework for broadcast cleanup
ba52e00 [Andrew Or] Refactor broadcast classes
c7ccef1 [Andrew Or] Merge branch 'bc-unpersist-merge' of github.com:ignatich/incubator-spark into cleanup
6c9dcf6 [Tathagata Das] Added missing Apache license
d2f8b97 [Tathagata Das] Removed duplicate unpersistRDD.
a007307 [Tathagata Das] Merge remote-tracking branch 'apache/master' into state-cleanup
620eca3 [Tathagata Das] Changes based on PR comments.
f2881fd [Tathagata Das] Changed ContextCleaner to use ReferenceQueue instead of finalizer
e1fba5f [Tathagata Das] Style fix
892b952 [Tathagata Das] Removed use of BoundedHashMap, and made BlockManagerSlaveActor cleanup shuffle metadata in MapOutputTrackerWorker.
a7260d3 [Tathagata Das] Added try-catch in context cleaner and null value cleaning in TimeStampedWeakValueHashMap.
e61daa0 [Tathagata Das] Modifications based on the comments on PR 126.
ae9da88 [Tathagata Das] Removed unncessary TimeStampedHashMap from DAGScheduler, added try-catches in finalize() methods, and replaced ArrayBlockingQueue to LinkedBlockingQueue to avoid blocking in Java's finalizing thread.
cb0a5a6 [Tathagata Das] Fixed docs and styles.
a24fefc [Tathagata Das] Merge remote-tracking branch 'apache/master' into state-cleanup
8512612 [Tathagata Das] Changed TimeStampedHashMap to use WrappedJavaHashMap.
e427a9e [Tathagata Das] Added ContextCleaner to automatically clean RDDs and shuffles when they fall out of scope. Also replaced TimeStampedHashMap to BoundedHashMaps and TimeStampedWeakValueHashMap for the necessary hashmap behavior.
80dd977 [Roman Pastukhov] Fix for Broadcast unpersist patch.
1e752f1 [Roman Pastukhov] Added unpersist method to Broadcast.

JIRA issue: [SPARK-1402](https://issues.apache.org/jira/browse/SPARK-1402)

This PR provides 3 more compression schemes for Spark SQL in-memory columnar storage:

* `BooleanBitSet`
* `IntDelta`
* `LongDelta`

Now there are 6 compression schemes in total, including the no-op `PassThrough` scheme.

Also fixed a bug in PR #286: not all compression schemes are added as available schemes when accessing an in-memory column, and when a column is compressed with an unrecognised scheme, `ColumnAccessor` throws exception.

Author: Cheng Lian <lian.cs.zju@gmail.com>

Closes #330 from liancheng/moreCompressionSchemes and squashes the following commits:

1d037b8 [Cheng Lian] Fixed SPARK-1436: in-memory column byte buffer must be able to be accessed multiple times
d7c0e8f [Cheng Lian] Added test suite for IntegralDelta (IntDelta & LongDelta)
3c1ad7a [Cheng Lian] Added test suite for BooleanBitSet, refactored other test suites
44fe4b2 [Cheng Lian] Refactored CompressionScheme, added 3 more compression schemes.

Change timestamp cast semantics. When cast to numeric types, return the unix time in seconds (instead of millis).

@marmbrus @chenghao-intel

Author: Reynold Xin <rxin@apache.org>

Closes #352 from rxin/timestamp-cast and squashes the following commits:

18aacd3 [Reynold Xin] Fixed precision for double.
2adb235 [Reynold Xin] Change timestamp cast semantics. When cast to numeric types, return the unix time in seconds (instead of millis).

Author: Reynold Xin <rxin@apache.org>

Closes #349 from rxin/rand and squashes the following commits:

fd11322 [Reynold Xin] Added eval for Rand (without any support for user-defined seed).

Removed the default eval implementation from Expression, and added a bunch of override's in classes I touched.

It is more robust to not provide a default implementation for Expression's.

Author: Reynold Xin <rxin@apache.org>

Closes #350 from rxin/eval-default and squashes the following commits:

0a83b8f [Reynold Xin] Removed the default eval implementation from Expression, and added a bunch of override's in classes I touched.

[sql] Rename execution/aggregates.scala Aggregate.scala, and added a bunch of private[this] to variables.

Author: Reynold Xin <rxin@apache.org>

Closes #348 from rxin/aggregate and squashes the following commits:

f4bc36f [Reynold Xin] Rename execution/aggregates.scala Aggregate.scala, and added a bunch of private[this] to variables.

This is the default mode for running spark-shell and pyspark, intended to allow users running spark for the first time to see the performance benefits of using multiple cores, while not breaking backwards compatibility for users who use "local" mode and expect exactly 1 core.

Author: Aaron Davidson <aaron@databricks.com>

Closes #182 from aarondav/110 and squashes the following commits:

a88294c [Aaron Davidson] Rebased changes for new spark-shell
a9f393e [Aaron Davidson] SPARK-1099: Introduce local[*] mode to infer number of cores

This test makes incorrect assumptions about the behavior of Thread.sleep().

Author: Patrick Wendell <pwendell@gmail.com>

Closes #347 from pwendell/stream-tests and squashes the following commits:

10e09e0 [Patrick Wendell] HOTFIX: Disable actor input stream.

container-log4j.properties is a file that YARN provides so that containers can have log4j.properties distinct from that of the NodeManagers.

Logs now go to syslog, and stderr and stdout just have the process's standard err and standard out.

I tested this on pseudo-distributed clusters for both yarn (Hadoop 2.2) and yarn-alpha (Hadoop 0.23.7)/

Author: Sandy Ryza <sandy@cloudera.com>

Closes #148 from sryza/sandy-spark-1252 and squashes the following commits:

c0043b8 [Sandy Ryza] Put log4j.properties file under common
55823da [Sandy Ryza] Add license headers to new files
10934b8 [Sandy Ryza] Add log4j-spark-container.properties and support SPARK_LOG4J_CONF
e74450b [Sandy Ryza] SPARK-1252. On YARN, use container-log4j.properties for executors

Also used this opportunity to add a bunch of override's and made some members private.

Author: Reynold Xin <rxin@apache.org>

Closes #340 from rxin/eval and squashes the following commits:

a7c7ca7 [Reynold Xin] Fixed conflicts in merge.
9069de6 [Reynold Xin] Merge branch 'master' into eval
3ccc313 [Reynold Xin] Merge branch 'master' into eval
1a47e10 [Reynold Xin] Renamed apply to eval for generators and added a bunch of override's.
ea061de [Reynold Xin] Rename Expression.apply to eval for better readability.

While working on spark-1337 with @pwendell, we noticed that not all of the metadata maps in JobProgessListener were being properly cleaned. This could lead to a (hypothetical) memory leak issue should a job run long enough. This patch aims to address the issue.

Author: Davis Shepherd <davis@conviva.com>

Closes #338 from dgshep/master and squashes the following commits:

a77b65c [Davis Shepherd] In the contex of SPARK-1337: Make sure that all metadata fields are properly cleaned

Author: Michael Armbrust <michael@databricks.com>

Closes #343 from marmbrus/toStringFix and squashes the following commits:

37198fe [Michael Armbrust] Fix toString for SchemaRDD NativeCommands.

Given:
```scala
case class Data(a: Int, b: Int)
val rdd =
  sparkContext
    .parallelize(1 to 200)
    .flatMap(_ => (1 to 50000).map(i => Data(i % 100, i)))
rdd.registerAsTable("data")
cacheTable("data")
```
Before:
```
SELECT COUNT(*) FROM data:[10000000]
16795.567ms
SELECT a, SUM(b) FROM data GROUP BY a
7536.436ms
SELECT SUM(b) FROM data
10954.1ms
```

After:
```
SELECT COUNT(*) FROM data:[10000000]
1372.175ms
SELECT a, SUM(b) FROM data GROUP BY a
2070.446ms
SELECT SUM(b) FROM data
958.969ms
```

Author: Michael Armbrust <michael@databricks.com>

Closes #295 from marmbrus/hashAgg and squashes the following commits:

ec63575 [Michael Armbrust] Add comment.
d0495a9 [Michael Armbrust] Use scaladoc instead.
b4a6887 [Michael Armbrust] Address review comments.
a2d90ba [Michael Armbrust] Capture child output statically to avoid issues with generators and serialization.
7c13112 [Michael Armbrust] Rewrite Aggregate operator to stream input and use projections.  Remove unused local RDD functions implicits.
5096f99 [Michael Armbrust] Make HiveUDAF fields transient since object inspectors are not serializable.
6a4b671 [Michael Armbrust] Add option to avoid binding operators expressions automatically.
92cca08 [Michael Armbrust] Always include serialization debug info when running tests.
1279df2 [Michael Armbrust] Increase default number of partitions.

Sometimes if there is a small conflict it's nice to be able to just
manually fix it up rather than have another RTT with the contributor.

Author: Patrick Wendell <pwendell@gmail.com>

Closes #342 from pwendell/merge-conflicts and squashes the following commits:

cdce61a [Patrick Wendell] SPARK-1431: Allow merging conflicting pull requests

This is a fix for [SPARK-1154](https://issues.apache.org/jira/browse/SPARK-1154).   The issue is that worker nodes fill up with a huge number of app-* folders after some time.  This change adds a periodic cleanup task which asynchronously deletes app directories older than a configurable TTL.

Two new configuration parameters have been introduced:
  spark.worker.cleanup_interval
  spark.worker.app_data_ttl

This change does not include moving the downloads of application jars to a location outside of the work directory.  We will address that if we have time, but that potentially involves caching so it will come either as part of this PR or a separate PR.

Author: Evan Chan <ev@ooyala.com>
Author: Kelvin Chu <kelvinkwchu@yahoo.com>

Closes #288 from velvia/SPARK-1154-cleanup-app-folders and squashes the following commits:

0689995 [Evan Chan] CR from @aarondav - move config, clarify for standalone mode
9f10d96 [Evan Chan] CR from @pwendell - rename configs and add cleanup.enabled
f2f6027 [Evan Chan] CR from @andrewor14
553d8c2 [Kelvin Chu] change the variable name to currentTimeMillis since it actually tracks in seconds
8dc9cb5 [Kelvin Chu] Fixed a bug in Utils.findOldFiles() after merge.
cb52f2b [Kelvin Chu] Change the name of findOldestFiles() to findOldFiles()
72f7d2d [Kelvin Chu] Fix a bug of Utils.findOldestFiles(). file.lastModified is returned in milliseconds.
ad99955 [Kelvin Chu] Add unit test for Utils.findOldestFiles()
dc1a311 [Evan Chan] Don't recompute current time with every new file
e3c408e [Evan Chan] Document the two new settings
b92752b [Evan Chan] SPARK-1154: Add a periodic task to clean up app directories

Previously, we based our decision regarding including datanucleus jars based on the existence of a spark-hive-assembly jar, which was incidentally built whenever "sbt assembly" is run. This means that a typical and previously supported pathway would start using hive jars.

This patch has the following features/bug fixes:

- Use of SPARK_HIVE (default false) to determine if we should include Hive in the assembly jar.
- Analagous feature in Maven with -Phive (previously, there was no support for adding Hive to any of our jars produced by Maven)
- assemble-deps fixed since we no longer use a different ASSEMBLY_DIR
- avoid adding log message in compute-classpath.sh to the classpath :)

Still TODO before mergeable:
- We need to download the datanucleus jars outside of sbt. Perhaps we can have spark-class download them if SPARK_HIVE is set similar to how sbt downloads itself.
- Spark SQL documentation updates.

Author: Aaron Davidson <aaron@databricks.com>

Closes #237 from aarondav/master and squashes the following commits:

5dc4329 [Aaron Davidson] Typo fixes
dd4f298 [Aaron Davidson] Doc update
dd1a365 [Aaron Davidson] Eliminate need for SPARK_HIVE at runtime by d/ling datanucleus from Maven
a9269b5 [Aaron Davidson] [WIP] Use SPARK_HIVE to determine if we include Hive in packaging

Currently, spark-shell shares its command history with scala repl.

This fix is simply a modification of the default FileBackedHistory file setting:
https://github.com/scala/scala/blob/master/src/repl/scala/tools/nsc/interpreter/session/FileBackedHistory.scala#L77

Author: Aaron Davidson <aaron@databricks.com>

Closes #267 from aarondav/repl and squashes the following commits:

f9c62d2 [Aaron Davidson] SPARK-1349: spark-shell gets its own command history separate from scala repl

Another handful of small build changes to organize and standardize a bit, and avoid warnings:

- Update Maven plugin versions for good measure
- Since plugins need maven 3.0.4 already, require it explicitly (<3.0.4 had some bugs anyway)
- Use variables to define versions across dependencies where they should move in lock step
- ... and make this consistent between Maven/SBT

OK, I also updated the JIRA URL while I was at it here.

Author: Sean Owen <sowen@cloudera.com>

Closes #291 from srowen/SPARK-1387 and squashes the following commits:

461eca1 [Sean Owen] Couldn't resist also updating JIRA location to new one
c2d5cc5 [Sean Owen] Update plugins and Maven version; use variables consistently across Maven/SBT to define dependency versions that should stay in step.

Author: Egor Pakhomov <pahomov.egor@gmail.com>

Closes #156 from epahomov/SPARK-1259 and squashes the following commits:

8ec8f24 [Egor Pakhomov] Make to local iterator shorter
34aa300 [Egor Pakhomov] Fix toLocalIterator docs
08363ef [Egor Pakhomov] SPARK-1259 from toLocallyIterable to toLocalIterator
6a994eb [Egor Pakhomov] SPARK-1259 Make RDD locally iterable
8be3dcf [Egor Pakhomov] SPARK-1259 Make RDD locally iterable
33ecb17 [Egor Pakhomov] SPARK-1259 Make RDD locally iterable

Author: witgo <witgo@qq.com>

Closes #333 from witgo/SPARK-1420 and squashes the following commits:

902519e [witgo] add dependency scala-reflect to catalyst

The reason it wasn't working was passing a bytearray to stream.write(), which is not supported in Python 2.6 but is in 2.7. (This array came from NumPy when we converted data to send it over to Java). Now we just convert those bytearrays to strings of bytes, which preserves nonprintable characters as well.

Author: Matei Zaharia <matei@databricks.com>

Closes #335 from mateiz/mllib-python-2.6 and squashes the following commits:

f26c59f [Matei Zaharia] Update docs to no longer say we need Python 2.7
a84d6af [Matei Zaharia] SPARK-1421. Make MLlib work on Python 2.6

Use Java 6's recommended equivalent of Java 7's Logger.getGlobal() to retain Java 6 compatibility. See PR #195

Author: Sean Owen <sowen@cloudera.com>

Closes #334 from srowen/FixPR195ForJava6 and squashes the following commits:

f92fbd3 [Sean Owen] Use Java 6's recommended equivalent of Java 7's Logger.getGlobal() to retain Java 6 compatibility

Change to Map and Set - not mutable HashMap and HashSet

Author: Mridul Muralidharan <mridulm80@apache.org>

Closes #302 from mridulm/master and squashes the following commits:

df747af [Mridul Muralidharan] Address review comments
17e2907 [Mridul Muralidharan] fix computePreferredLocations signature to not depend on underlying implementation

This method exposes the Stage objects, which are
private to Spark and should not be exposed to the
user.

This method was added in https://github.com/apache/spark/commit/01d77f329f5878b7c8672bbdc1859f3ca95d759d; ccing @squito here in case there's a good reason to keep this!

Author: Kay Ousterhout <kayousterhout@gmail.com>

Closes #308 from kayousterhout/remove_public_method and squashes the following commits:

2e2f009 [Kay Ousterhout] Remove the getStageInfo() method from SparkContext.

Learnt about `set -o pipefail` is very useful.

Author: Prashant Sharma <prashant.s@imaginea.com>
Author: Prashant Sharma <scrapcodes@gmail.com>

Closes #321 from ScrapCodes/hf-SPARK-1336 and squashes the following commits:

9d22bc2 [Prashant Sharma] added comment why echo -e q exists.
f865951 [Prashant Sharma] made error to match with word boundry so errors does not match. This is there to make sure build fails if provided SparkBuild has compile errors.
7fffdf2 [Prashant Sharma] Removed a stray line.
97379d8 [Prashant Sharma] HOTFIX for broken CI, by SPARK-1336

Author: Prabeesh K <prabsmails@gmail.com>

Closes #331 from prabeesh/patch-3 and squashes the following commits:

9399eb5 [Prabeesh K] small fix(proogram -> program)

Now users who want to use HiveQL should explicitly say `hiveql` or `hql`.

Author: Michael Armbrust <michael@databricks.com>

Closes #319 from marmbrus/standardizeSqlHql and squashes the following commits:

de68d0e [Michael Armbrust] Fix sampling test.
fbe4a54 [Michael Armbrust] Make `sql` always use spark sql parser, users of hive context can now use hql or hiveql to run queries using HiveQL instead.

Move the PR#468 of apache-incubator-spark to the apache-spark
"Adding an option to persist Spark RDD blocks into Tachyon."

Author: Haoyuan Li <haoyuan@cs.berkeley.edu>
Author: RongGu <gurongwalker@gmail.com>

Closes #158 from RongGu/master and squashes the following commits:

72b7768 [Haoyuan Li] merge master
9f7fa1b [Haoyuan Li] fix code style
ae7834b [Haoyuan Li] minor cleanup
a8b3ec6 [Haoyuan Li] merge master branch
e0f4891 [Haoyuan Li] better check offheap.
55b5918 [RongGu] address matei's comment on the replication of offHeap storagelevel
7cd4600 [RongGu] remove some logic code for tachyonstore's replication
51149e7 [RongGu] address aaron's comment on returning value of the remove() function in tachyonstore
8adfcfa [RongGu] address arron's comment on inTachyonSize
120e48a [RongGu] changed the root-level dir name in Tachyon
5cc041c [Haoyuan Li] address aaron's comments
9b97935 [Haoyuan Li] address aaron's comments
d9a6438 [Haoyuan Li] fix for pspark
77d2703 [Haoyuan Li] change python api.git status
3dcace4 [Haoyuan Li] address matei's comments
91fa09d [Haoyuan Li] address patrick's comments
589eafe [Haoyuan Li] use TRY_CACHE instead of MUST_CACHE
64348b2 [Haoyuan Li] update conf docs.
ed73e19 [Haoyuan Li] Merge branch 'master' of github.com:RongGu/spark-1
619a9a8 [RongGu] set number of directories in TachyonStore back to 64; added a TODO tag for duplicated code from the DiskStore
be79d77 [RongGu] find a way to clean up some unnecessay metods and classed to make the code simpler
49cc724 [Haoyuan Li] update docs with off_headp option
4572f9f [RongGu] reserving the old apply function API of StorageLevel
04301d3 [RongGu] rename StorageLevel.TACHYON to Storage.OFF_HEAP
c9aeabf [RongGu] rename the StorgeLevel.TACHYON as StorageLevel.OFF_HEAP
76805aa [RongGu] unifies the config properties name prefix; add the configs into docs/configuration.md
e700d9c [RongGu] add the SparkTachyonHdfsLR example and some comments
fd84156 [RongGu] use randomUUID to generate sparkapp directory name on tachyon;minor code style fix
939e467 [Haoyuan Li] 0.4.1-thrift from maven central
86a2eab [Haoyuan Li] tachyon 0.4.1-thrift is in the staging repo. but jenkins failed to download it. temporarily revert it back to 0.4.1
16c5798 [RongGu] make the dependency on tachyon as tachyon-0.4.1-thrift
eacb2e8 [RongGu] Merge branch 'master' of https://github.com/RongGu/spark-1
bbeb4de [RongGu] fix the JsonProtocolSuite test failure problem
6adb58f [RongGu] Merge branch 'master' of https://github.com/RongGu/spark-1
d827250 [RongGu] fix JsonProtocolSuie test failure
716e93b [Haoyuan Li] revert the version
ca14469 [Haoyuan Li] bump tachyon version to 0.4.1-thrift
2825a13 [RongGu] up-merging to the current master branch of the apache spark
6a22c1a [Haoyuan Li] fix scalastyle
8968b67 [Haoyuan Li] exclude more libraries from tachyon dependency to be the same as referencing tachyon-client.
77be7e8 [RongGu] address mateiz's comment about the temp folder name problem. The implementation followed mateiz's advice.
1dcadf9 [Haoyuan Li] typo
bf278fa [Haoyuan Li] fix python tests
e82909c [Haoyuan Li] minor cleanup
776a56c [Haoyuan Li] address patrick's and ali's comments from the previous PR
8859371 [Haoyuan Li] various minor fixes and clean up
e3ddbba [Haoyuan Li] add doc to use Tachyon cache mode.
fcaeab2 [Haoyuan Li] address Aaron's comment
e554b1e [Haoyuan Li] add python code
47304b3 [Haoyuan Li] make tachyonStore in BlockMananger lazy val; add more comments StorageLevels.
dc8ef24 [Haoyuan Li] add old storelevel constructor
e01a271 [Haoyuan Li] update tachyon 0.4.1
8011a96 [RongGu] fix a brought-in mistake in StorageLevel
70ca182 [RongGu] a bit change in comment
556978b [RongGu] fix the scalastyle errors
791189b [RongGu] "Adding an option to persist Spark RDD blocks into Tachyon." move the PR#468 of apache-incubator-spark to the apache-spark

Keeping up-to-date with the parent, which includes some bugfixes.

Author: Mark Hamstra <markhamstra@gmail.com>

Closes #328 from markhamstra/Apache14 and squashes the following commits:

3f19975 [Mark Hamstra] Bumped parent POM to apache 14

This was requested by a few different people and may be generally
useful, so I'd like to contribute this and not block on a different
PR for it to get in.

Author: Patrick Wendell <pwendell@gmail.com>

Closes #326 from pwendell/class-loader-test-utils and squashes the following commits:

ff3e88e [Patrick Wendell] Add test utility for generating Jar files with compiled classes.

Also clarified comment on each file having to fit in memory

Author: Matei Zaharia <matei@databricks.com>

Closes #327 from mateiz/py-whole-files and squashes the following commits:

9ad64a5 [Matei Zaharia] SPARK-1414. Python API for SparkContext.wholeTextFiles

Author: Michael Armbrust <michael@databricks.com>

Closes #315 from marmbrus/minorFixes and squashes the following commits:

b23a15d [Michael Armbrust] fix scaladoc
11062ac [Michael Armbrust] Fix registering "SELECT *" queries as tables and caching them.  As some tests for this and self-joins.
3997dc9 [Michael Armbrust] Move Row extractor to catalyst.
208bf5e [Michael Armbrust] More idiomatic naming of DSL functions. * subquery => as * for join condition => on, i.e., `r.join(s, condition = 'a == 'b)` =>`r.join(s, on = 'a == 'b)`
87211ce [Michael Armbrust] Correctly handle self joins of in-memory cached tables.
69e195e [Michael Armbrust] Change != to !== in the DSL since != will always translate to != on Any.
01f2dd5 [Michael Armbrust] Correctly assign aliases to tables in SqlParser.

This works as is on Linux/Mac/etc but doesn't cover working on Windows.  In here I use ln -sf for symlinks. Putting this up for comments on that. Do we want to create perhaps some classes for doing shell commands - Linux vs Windows.  Is there some other way we want to do this?   I assume we are still supporting jdk1.6?

Also should I update the Java API for pipes to allow this parameter?

Author: Thomas Graves <tgraves@apache.org>

Closes #128 from tgravescs/SPARK1198 and squashes the following commits:

abc1289 [Thomas Graves] remove extra tag in pom file
ba23fc0 [Thomas Graves] Add support for symlink on windows, remove commons-io usage
da4b221 [Thomas Graves] Merge branch 'master' of https://github.com/tgravescs/spark into SPARK1198
61be271 [Thomas Graves] Fix file name filter
6b783bd [Thomas Graves] style fixes
1ab49ca [Thomas Graves] Add support for running pipe tasks is separate directories

This reduces the time of the test from 11 seconds to 20 milliseconds.

Author: Patrick Wendell <pwendell@gmail.com>

Closes #324 from pwendell/job-test and squashes the following commits:

868d9eb [Patrick Wendell] Don't create SparkContext in JobProgressListenerSuite.

Author: Sandy Ryza <sandy@cloudera.com>

Closes #278 from sryza/sandy-spark-1375 and squashes the following commits:

5fbf1e9 [Sandy Ryza] SPARK-1375. Additional spark-submit cleanup