Since GraphX is no longer alpha as of 1.2, MimaExcludes should not exclude GraphX for 1.3

Here are the individual excludes I had to add + the associated commits:

```
            // SPARK-4444
            ProblemFilters.exclude[IncompatibleResultTypeProblem](
              "org.apache.spark.graphx.EdgeRDD.fromEdges"),
            ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.EdgeRDD.filter"),
            ProblemFilters.exclude[IncompatibleResultTypeProblem](
              "org.apache.spark.graphx.impl.EdgeRDDImpl.filter"),
```
[https://github.com/apache/spark/commit/9ac2bb18ede2e9f73c255fa33445af89aaf8a000]

```
            // SPARK-3623
            ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.Graph.checkpoint")
```
[https://github.com/apache/spark/commit/e895e0cbecbbec1b412ff21321e57826d2d0a982]

```
            // SPARK-4620
            ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.Graph.unpersist"),
```
[https://github.com/apache/spark/commit/8817fc7fe8785d7b11138ca744f22f7e70f1f0a0]

CC: rxin

Author: Joseph K. Bradley <joseph@databricks.com>

Closes #3856 from jkbradley/graphx-mima and squashes the following commits:

1eea2f6 [Joseph K. Bradley] moved cleanup to run-tests
527ccd9 [Joseph K. Bradley] fixed jenkins script to remove ivy2 cache
802e252 [Joseph K. Bradley] Removed GraphX MIMA excludes and added line to clear spark from .m2 dir before Jenkins tests.  This may not work yet...
30f8bb4 [Joseph K. Bradley] added individual mima excludes for graphx
a3fea42 [Joseph K. Bradley] removed graphx mima exclude for 1.3

Enable from follow multiple brackets:
```
select key from ((select * from testData limit 1) union all (select * from testData limit 1)) x limit 1
```

Author: scwf <wangfei1@huawei.com>

Closes #3853 from scwf/from and squashes the following commits:

14f110a [scwf] enable from follow multiple brackets

Author: wangfei <wangfei1@huawei.com>

Closes #3718 from scwf/sparksqlui and squashes the following commits:

e0d6b5d [wangfei] format fix
383b505 [wangfei] fix conflicts
4d2038a [wangfei] using setJobDescription
df79837 [wangfei] fix compile error
92ce834 [wangfei] show sql statement in spark ui when run sql use spark-sql

cc andrewor14

Author: GuoQiang Li <witgo@qq.com>

Closes #3989 from witgo/MQTTStreamSuite and squashes the following commits:

a6e967e [GuoQiang Li] Resolve sbt warnings during build (MQTTStreamSuite.scala).

https://issues.apache.org/jira/browse/SPARK-5181

Currently, even the logManager is not created, we still see the log entry
s"Writing to log $record"

a simple fix to make log more accurate

Author: CodingCat <zhunansjtu@gmail.com>

Closes #3985 from CodingCat/SPARK-5181 and squashes the following commits:

0e27dc5 [CodingCat] do not print writing WAL log when WAL is disabled

Support ! boolean logic operator like NOT in sql as follows
select * from for_test where !(col1 > col2)

Author: YanTangZhai <hakeemzhai@tencent.com>
Author: Michael Armbrust <michael@databricks.com>

Closes #3555 from YanTangZhai/SPARK-4692 and squashes the following commits:

1a9f605 [YanTangZhai] Update HiveQuerySuite.scala
7c03c68 [YanTangZhai] Merge pull request #23 from apache/master
992046e [YanTangZhai] Update HiveQuerySuite.scala
ea618f4 [YanTangZhai] Update HiveQuerySuite.scala
192411d [YanTangZhai] Merge pull request #17 from YanTangZhai/master
e4c2c0a [YanTangZhai] Merge pull request #15 from apache/master
1e1ebb4 [YanTangZhai] Update HiveQuerySuite.scala
efc4210 [YanTangZhai] Update HiveQuerySuite.scala
bd2c444 [YanTangZhai] Update HiveQuerySuite.scala
1893956 [YanTangZhai] Merge pull request #14 from marmbrus/pr/3555
59e4de9 [Michael Armbrust] make hive test
718afeb [YanTangZhai] Merge pull request #12 from apache/master
950b21e [YanTangZhai] Update HiveQuerySuite.scala
74175b4 [YanTangZhai] Update HiveQuerySuite.scala
92242c7 [YanTangZhai] Update HiveQl.scala
6e643f8 [YanTangZhai] Merge pull request #11 from apache/master
e249846 [YanTangZhai] Merge pull request #10 from apache/master
d26d982 [YanTangZhai] Merge pull request #9 from apache/master
76d4027 [YanTangZhai] Merge pull request #8 from apache/master
03b62b0 [YanTangZhai] Merge pull request #7 from apache/master
8a00106 [YanTangZhai] Merge pull request #6 from apache/master
cbcba66 [YanTangZhai] Merge pull request #3 from apache/master
cdef539 [YanTangZhai] Merge pull request #1 from apache/master

Author: Michael Armbrust <michael@databricks.com>

Closes #3987 from marmbrus/hiveUdfCaching and squashes the following commits:

8bca2fa [Michael Armbrust] [SPARK-5187][SQL] Fix caching of tables with HiveUDFs in the WHERE clause

https://issues.apache.org/jira/browse/SPARK-4963
SchemaRDD.sample() return wrong results due to GapSamplingIterator operating on mutable row.
HiveTableScan make RDD with SpecificMutableRow and SchemaRDD.sample() will return GapSamplingIterator for iterating.

override def next(): T = {
    val r = data.next()
    advance
    r
  }

GapSamplingIterator.next() return the current underlying element and assigned it to r.
However if the underlying iterator is mutable row just like what HiveTableScan returned, underlying iterator and r will point to the same object.
After advance operation, we drop some underlying elments and it also changed r which is not expected. Then we return the wrong value different from initial r.

To fix this issue, the most direct way is to make HiveTableScan return mutable row with copy just like the initial commit that I have made. This solution will make HiveTableScan can not get the full advantage of reusable MutableRow, but it can make sample operation return correct result.
Further more, we need to investigate  GapSamplingIterator.next() and make it can implement copy operation inside it. To achieve this, we should define every elements that RDD can store implement the function like cloneable and it will make huge change.

Author: Yanbo Liang <yanbohappy@gmail.com>

Closes #3827 from yanbohappy/spark-4963 and squashes the following commits:

0912ca0 [Yanbo Liang] code format keep
65c4e7c [Yanbo Liang] import file and clear annotation
55c7c56 [Yanbo Liang] better output of test case
cea7e2e [Yanbo Liang] SchemaRDD add copy operation before Sample operator
e840829 [Yanbo Liang] HiveTableScan return mutable row with copy

Follow up for #3712.
This PR finally remove ```CommandStrategy``` and make all commands follow ```RunnableCommand``` so they can go with ```case r: RunnableCommand => ExecutedCommand(r) :: Nil```.

One exception is the ```DescribeCommand``` of hive, which is a special case and need to distinguish hive table and temporary table, so still keep ```HiveCommandStrategy``` here.

Author: scwf <wangfei1@huawei.com>

Closes #3948 from scwf/followup-SPARK-4861 and squashes the following commits:

6b48e64 [scwf] minor style fix
2c62e9d [scwf] fix for hive module
5a7a819 [scwf] Refactory command in spark sql

Adding support for defining schema in foreign DDL commands. Now foreign DDL support commands like:
```
CREATE TEMPORARY TABLE avroTable
USING org.apache.spark.sql.avro
OPTIONS (path "../hive/src/test/resources/data/files/episodes.avro")
```
With this PR user can define schema instead of infer from file, so  support ddl command as follows:
```
CREATE TEMPORARY TABLE avroTable(a int, b string)
USING org.apache.spark.sql.avro
OPTIONS (path "../hive/src/test/resources/data/files/episodes.avro")
```

Author: scwf <wangfei1@huawei.com>
Author: Yin Huai <yhuai@databricks.com>
Author: Fei Wang <wangfei1@huawei.com>
Author: wangfei <wangfei1@huawei.com>

Closes #3431 from scwf/ddl and squashes the following commits:

7e79ce5 [Fei Wang] Merge pull request #22 from yhuai/pr3431yin
38f634e [Yin Huai] Remove Option from createRelation.
65e9c73 [Yin Huai] Revert all changes since applying a given schema has not been testd.
a852b10 [scwf] remove cleanIdentifier
f336a16 [Fei Wang] Merge pull request #21 from yhuai/pr3431yin
baf79b5 [Yin Huai] Test special characters quoted by backticks.
50a03b0 [Yin Huai] Use JsonRDD.nullTypeToStringType to convert NullType to StringType.
1eeb769 [Fei Wang] Merge pull request #20 from yhuai/pr3431yin
f5c22b0 [Yin Huai] Refactor code and update test cases.
f1cffe4 [Yin Huai] Revert "minor refactory"
b621c8f [scwf] minor refactory
d02547f [scwf] fix HiveCompatibilitySuite test failure
8dfbf7a [scwf] more tests for complex data type
ddab984 [Fei Wang] Merge pull request #19 from yhuai/pr3431yin
91ad91b [Yin Huai] Parse data types in DDLParser.
cf982d2 [scwf] fixed test failure
445b57b [scwf] address comments
02a662c [scwf] style issue
44eb70c [scwf] fix decimal parser issue
83b6fc3 [scwf] minor fix
9bf12f8 [wangfei] adding test case
7787ec7 [wangfei] added SchemaRelationProvider
0ba70df [wangfei] draft version

The pull only fixes the parsing error and changes API to use tableIdentifier. Joining different catalog datasource related change is not done in this pull.

Author: Alex Liu <alex_liu68@yahoo.com>

Closes #3941 from alexliu68/SPARK-SQL-4943-3 and squashes the following commits:

343ae27 [Alex Liu] [SPARK-4943][SQL] refactoring according to review
29e5e55 [Alex Liu] [SPARK-4943][SQL] fix failed Hive CTAS tests
6ae77ce [Alex Liu] [SPARK-4943][SQL] fix TestHive matching error
3652997 [Alex Liu] [SPARK-4943][SQL] Allow table name having dot to support db/catalog ...

Author: Alex Liu <alex_liu68@yahoo.com>

Closes #3766 from alexliu68/SPARK-SQL-4925 and squashes the following commits:

3137b51 [Alex Liu] [SPARK-4925][SQL] Remove sql/hive-thriftserver module from pom.xml
15f2e38 [Alex Liu] [SPARK-4925][SQL] Publish Spark SQL hive-thriftserver maven artifact

CaseInsensitiveMap throws java.io.NotSerializableException.

Author: luogankun <luogankun@gmail.com>

Closes #3944 from luogankun/SPARK-5141 and squashes the following commits:

b6d63d5 [luogankun] [SPARK-5141]CaseInsensitiveMap throws java.io.NotSerializableException

Raise exception when k is non-positive in SVD

Author: MechCoder <manojkumarsivaraj334@gmail.com>

Closes #3945 from MechCoder/spark-4406 and squashes the following commits:

64e6d2d [MechCoder] TST: Add better test errors and messages
12dae73 [MechCoder] [SPARK-4406] FIX: Validate k in SVD

https://issues.apache.org/jira/browse/SPARK-4990

Author: WangTaoTheTonic <barneystinson@aliyun.com>
Author: WangTao <barneystinson@aliyun.com>

Closes #3823 from WangTaoTheTonic/SPARK-4990 and squashes the following commits:

133c43e [WangTao] Update spark-submit2.cmd
b1ab402 [WangTao] Update spark-submit
4cc7f34 [WangTaoTheTonic] rebase
55300bc [WangTaoTheTonic] use export to make it global
d8d3cb7 [WangTaoTheTonic] remove blank line
07b9ebf [WangTaoTheTonic] check SPARK_CONF_DIR instead of checking properties file
c5a85eb [WangTaoTheTonic] to find default properties file, search SPARK_CONF_DIR first

fixed import order and other coding style

Author: bilna <bilnap@am.amrita.edu>
Author: Bilna P <bilna.p@gmail.com>

Closes #3966 from Bilna/master and squashes the following commits:

5e76f04 [bilna] fix import order and other coding style
5718d66 [bilna] Merge remote-tracking branch 'upstream/master'
ae56514 [bilna] Merge remote-tracking branch 'upstream/master'
acea3a3 [bilna] Adding dependency with scope test
28681fa [bilna] Merge remote-tracking branch 'upstream/master'
fac3904 [bilna] Correction in Indentation and coding style
ed9db4c [bilna] Merge remote-tracking branch 'upstream/master'
4b34ee7 [Bilna P] Update MQTTStreamSuite.scala
04503cf [bilna] Added embedded broker service for mqtt test
89d804e [bilna] Merge remote-tracking branch 'upstream/master'
fc8eb28 [bilna] Merge remote-tracking branch 'upstream/master'
4b58094 [Bilna P] Update MQTTStreamSuite.scala
b1ac4ad [bilna] Added BeforeAndAfter
5f6bfd2 [bilna] Added BeforeAndAfter
e8b6623 [Bilna P] Update MQTTStreamSuite.scala
5ca6691 [Bilna P] Update MQTTStreamSuite.scala
8616495 [bilna] [SPARK-4631] unit test for MQTT

#3934 upgraded Mesos version so we should also fix docs right?

This issue is really minor so I don't file in JIRA.

Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>

Closes #3982 from sarutak/fix-mesos-version and squashes the following commits:

9a86ee3 [Kousuke Saruta] Fixed mesos version from 0.18.1 to 0.21.0

Dealing with [SPARK-4737], the handling of serialization errors should not be the DAGScheduler's responsibility. The task set manager now catches the error and aborts the stage.

If the TaskSetManager throws a TaskNotSerializableException, the TaskSchedulerImpl will return an empty list of task descriptions, because no tasks were started. The scheduler should abort the stage gracefully.

Note that I'm not too familiar with this part of the codebase and its place in the overall architecture of the Spark stack. If implementing it this way will have any averse side effects please voice that loudly.

Author: mcheah <mcheah@palantir.com>

Closes #3638 from mccheah/task-set-manager-properly-handle-ser-err and squashes the following commits:

1545984 [mcheah] Some more style fixes from Andrew Or.
5267929 [mcheah] Fixing style suggestions from Andrew Or.
dfa145b [mcheah] Fixing style from Josh Rosen's feedback
b2a430d [mcheah] Not returning empty seq when a task set cannot be serialized.
94844d7 [mcheah] Fixing compilation error, one brace too many
5f486f4 [mcheah] Adding license header for fake task class
bf5e706 [mcheah] Fixing indentation.
097e7a2 [mcheah] [SPARK-4737] Catching task serialization exception in TaskSetManager

... size

Ways to set Application Master's memory on yarn-client mode:
1.  `spark.yarn.am.memory` in SparkConf or System Properties
2.  default value 512m

Note: this arguments is only available in yarn-client mode.

Author: WangTaoTheTonic <barneystinson@aliyun.com>

Closes #3607 from WangTaoTheTonic/SPARK4181 and squashes the following commits:

d5ceb1b [WangTaoTheTonic] spark.driver.memeory is used in both modes
6c1b264 [WangTaoTheTonic] rebase
b8410c0 [WangTaoTheTonic] minor optiminzation
ddcd592 [WangTaoTheTonic] fix the bug produced in rebase and some improvements
3bf70cc [WangTaoTheTonic] rebase and give proper hint
987b99d [WangTaoTheTonic] disable --driver-memory in client mode
2b27928 [WangTaoTheTonic] inaccurate description
b7acbb2 [WangTaoTheTonic] incorrect method invoked
2557c5e [WangTaoTheTonic] missing a single blank
42075b0 [WangTaoTheTonic] arrange the args and warn logging
69c7dba [WangTaoTheTonic] rebase
1960d16 [WangTaoTheTonic] fix wrong comment
7fa9e2e [WangTaoTheTonic] log a warning
f6bee0e [WangTaoTheTonic] docs issue
d619996 [WangTaoTheTonic] Merge branch 'master' into SPARK4181
b09c309 [WangTaoTheTonic] use code format
ab16bb5 [WangTaoTheTonic] fix bug and add comments
44e48c2 [WangTaoTheTonic] minor fix
6fd13e1 [WangTaoTheTonic] add overhead mem and remove some configs
0566bb8 [WangTaoTheTonic] yarn client mode Application Master memory size is same as driver memory size

Issues:
* From JIRA: GaussianMixtureEM uses randomness but does not take a random seed. It should take one as a parameter.
* This also makes the test suite flaky since initialization can fail due to stochasticity.

Fix:
* Add random seed
* Use it in test suite

CC: mengxr  tgaloppo

Author: Joseph K. Bradley <joseph@databricks.com>

Closes #3981 from jkbradley/gmm-seed and squashes the following commits:

f0df4fd [Joseph K. Bradley] Added seed parameter to GMM.  Updated test suite to use seed to prevent flakiness

- update version from 0.18.1 to 0.21.0
- I'm doing some tests in order to verify some spark jobs work fine on mesos 0.21.0 environment.

Author: Jongyoul Lee <jongyoul@gmail.com>

Closes #3934 from jongyoul/SPARK-3619 and squashes the following commits:

ab994fa [Jongyoul Lee] [SPARK-3619] Upgrade to Mesos 0.21 to work around MESOS-1688 - update version from 0.18.1 to 0.21.0

This pr uses BLAS.dsyr to replace few implementations in GaussianMixtureEM.

Author: Liang-Chi Hsieh <viirya@gmail.com>

Closes #3949 from viirya/blas_dsyr and squashes the following commits:

4e4d6cf [Liang-Chi Hsieh] Add unit test. Rename function name, modify doc and style.
3f57fd2 [Liang-Chi Hsieh] Add BLAS.dsyr and use it in GaussianMixtureEM.

The current TaskSchedulerImplSuite includes some tests that are
actually for the TaskSchedulerImpl, but the remainder of the tests avoid using
the TaskSchedulerImpl entirely, and actually test the pool and scheduling
algorithm mechanisms. This commit separates the pool/scheduling algorithm
tests into their own suite, and also simplifies those tests.

The pull request replaces #339.

Author: Kay Ousterhout <kayousterhout@gmail.com>

Closes #3967 from kayousterhout/SPARK-1143 and squashes the following commits:

8a898c4 [Kay Ousterhout] [SPARK-1143] Separate pool tests into their own suite.

1. Renames $FWDIR to $SPARK_HOME (vast majority of diff).
2. Use Spark-provided Maven.
3. Logs build flags in the RELEASE file.

Author: Patrick Wendell <pwendell@gmail.com>

Closes #3973 from pwendell/master and squashes the following commits:

340a2fa [Patrick Wendell] HOTFIX: Minor improvements to make-distribution.sh

This PR simply points to the IntelliJ wiki page instead of also including IntelliJ notes in the docs. The intent however is to also update the wiki page with updated tips. This is the text I propose for the IntelliJ section on the wiki. I realize it omits some of the existing instructions on the wiki, about enabling Hive, but I think those are actually optional.

------

IntelliJ supports both Maven- and SBT-based projects. It is recommended, however, to import Spark as a Maven project. Choose "Import Project..." from the File menu, and select the `pom.xml` file in the Spark root directory.

It is fine to leave all settings at their default values in the Maven import wizard, with two caveats. First, it is usually useful to enable "Import Maven projects automatically", sincchanges to the project structure will automatically update the IntelliJ project.

Second, note the step that prompts you to choose active Maven build profiles. As documented above, some build configuration require specific profiles to be enabled. The same profiles that are enabled with `-P[profile name]` above may be enabled on this screen. For example, if developing for Hadoop 2.4 with YARN support, enable profiles `yarn` and `hadoop-2.4`.

These selections can be changed later by accessing the "Maven Projects" tool window from the View menu, and expanding the Profiles section.

"Rebuild Project" can fail the first time the project is compiled, because generate source files are not automatically generated. Try clicking the  "Generate Sources and Update Folders For All Projects" button in the "Maven Projects" tool window to manually generate these sources.

Compilation may fail with an error like "scalac: bad option: -P:/home/jakub/.m2/repository/org/scalamacros/paradise_2.10.4/2.0.1/paradise_2.10.4-2.0.1.jar". If so, go to Preferences > Build, Execution, Deployment > Scala Compiler and clear the "Additional compiler options" field. It will work then although the option will come back when the project reimports.

Author: Sean Owen <sowen@cloudera.com>

Closes #3952 from srowen/SPARK-5136 and squashes the following commits:

f3baa66 [Sean Owen] Point to new IJ / Eclipse wiki link
016b7df [Sean Owen] Point to IntelliJ wiki page instead of also including IntelliJ notes in the docs

Flakey due to the default retry interval being the same as our test's wait timeout.

Author: Aaron Davidson <aaron@databricks.com>

Closes #3972 from aarondav/fix-test and squashes the following commits:

db77cab [Aaron Davidson] [Minor] Fix test after changed config name

Soryy for fetching the wrong max attempts in this commit https://github.com/apache/spark/commit/8fdd48959c93b9cf809f03549e2ae6c4687d1fcd.
We need to fix it now.

tgravescs

If we set an spark.yarn.maxAppAttempts which is larger than `yarn.resourcemanager.am.max-attempts` in yarn side, it will be overrided as described here:
>The maximum number of application attempts. It's a global setting for all application masters. Each application master can specify its individual maximum number of application attempts via the API, but the individual number cannot be more than the global upper bound. If it is, the resourcemanager will override it. The default number is set to 2, to allow at least one retry for AM.

http://hadoop.apache.org/docs/r2.6.0/hadoop-yarn/hadoop-yarn-common/yarn-default.xml

Author: WangTaoTheTonic <barneystinson@aliyun.com>

Closes #3942 from WangTaoTheTonic/HOTFIX and squashes the following commits:

9ac16ce [WangTaoTheTonic] fetch the correct max attempts

I moved the Spark-Shark version map [to the wiki](https://cwiki.apache.org/confluence/display/SPARK/Spark-Shark+version+mapping).

This PR has a [matching PR in mesos/spark-ec2](https://github.com/mesos/spark-ec2/pull/89).

Author: Nicholas Chammas <nicholas.chammas@gmail.com>

Closes #3939 from nchammas/remove-shark and squashes the following commits:

66e0841 [Nicholas Chammas] fix style
ceeab85 [Nicholas Chammas] show default Spark GitHub repo
7270126 [Nicholas Chammas] validate Spark hashes
db4935d [Nicholas Chammas] validate spark version upfront
fc0d5b9 [Nicholas Chammas] remove Shark

This change does a few things to make the hadoop-provided profile more useful:

- Create new profiles for other libraries / services that might be provided by the infrastructure
- Simplify and fix the poms so that the profiles are only activated while building assemblies.
- Fix tests so that they're able to run when the profiles are activated
- Add a new env variable to be used by distributions that use these profiles to provide the runtime
  classpath for Spark jobs and daemons.

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #2982 from vanzin/SPARK-4048 and squashes the following commits:

82eb688 [Marcelo Vanzin] Add a comment.
eb228c0 [Marcelo Vanzin] Fix borked merge.
4e38f4e [Marcelo Vanzin] Merge branch 'master' into SPARK-4048
9ef79a3 [Marcelo Vanzin] Alternative way to propagate test classpath to child processes.
371ebee [Marcelo Vanzin] Review feedback.
52f366d [Marcelo Vanzin] Merge branch 'master' into SPARK-4048
83099fc [Marcelo Vanzin] Merge branch 'master' into SPARK-4048
7377e7b [Marcelo Vanzin] Merge branch 'master' into SPARK-4048
322f882 [Marcelo Vanzin] Fix merge fail.
f24e9e7 [Marcelo Vanzin] Merge branch 'master' into SPARK-4048
8b00b6a [Marcelo Vanzin] Merge branch 'master' into SPARK-4048
9640503 [Marcelo Vanzin] Cleanup child process log message.
115fde5 [Marcelo Vanzin] Simplify a comment (and make it consistent with another pom).
e3ab2da [Marcelo Vanzin] Fix hive-thriftserver profile.
7820d58 [Marcelo Vanzin] Fix CliSuite with provided profiles.
1be73d4 [Marcelo Vanzin] Restore flume-provided profile.
d1399ed [Marcelo Vanzin] Restore jetty dependency.
82a54b9 [Marcelo Vanzin] Remove unused profile.
5c54a25 [Marcelo Vanzin] Fix HiveThriftServer2Suite with *-provided profiles.
1fc4d0b [Marcelo Vanzin] Update dependencies for hive-thriftserver.
f7b3bbe [Marcelo Vanzin] Add snappy to hadoop-provided list.
9e4e001 [Marcelo Vanzin] Remove duplicate hive profile.
d928d62 [Marcelo Vanzin] Redirect child stderr to parent's log.
4d67469 [Marcelo Vanzin] Propagate SPARK_DIST_CLASSPATH on Yarn.
417d90e [Marcelo Vanzin] Introduce "SPARK_DIST_CLASSPATH".
2f95f0d [Marcelo Vanzin] Propagate classpath to child processes during testing.
1adf91c [Marcelo Vanzin] Re-enable maven-install-plugin for a few projects.
284dda6 [Marcelo Vanzin] Rework the "hadoop-provided" profile, add new ones.

...ySpark MLlib

This is a follow up to PR3680 https://github.com/apache/spark/pull/3680 .

Author: RJ Nowling <rnowling@gmail.com>

Closes #3955 from rnowling/spark4891 and squashes the following commits:

1236a01 [RJ Nowling] Fix Python style issues
7a01a78 [RJ Nowling] Fix Python style issues
174beab [RJ Nowling] [SPARK-4891][PySpark][MLlib] Add gamma/log normal/exp dist sampling to PySpark MLlib

[SPARK-4973][CORE] Local directory in the driver of client-mode continues remaining even if application finished when external shuffle is enabled

When we enables external shuffle service, local directories in the driver of client-mode continue remaining even if application has finished.
I think local directories for drivers should be deleted.

Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>

Closes #3811 from sarutak/SPARK-4973 and squashes the following commits:

ad944ab [Kousuke Saruta] Fixed DiskBlockManager to cleanup local directory if it's the driver
43770da [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-4973
88feecd [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-4973
d99718e [Kousuke Saruta] Fixed SparkSubmit.scala and DiskBlockManager.scala in order to delete local directories of the driver of local-mode when external shuffle service is enabled

Author: Fernando Otero (ZeoS) <fotero@gmail.com>

Closes #3953 from zeitos/storageLevel and squashes the following commits:

0f070b9 [Fernando Otero (ZeoS)] fix imports
6869e80 [Fernando Otero (ZeoS)] fix comment length
90c9f7e [Fernando Otero (ZeoS)] fix comment length
18a992e [Fernando Otero (ZeoS)] changing storage level

This pull request is my own work and I license it under Spark's open-source license.

This contribution is an improvement to the documentation. I documented that the maximum number of values per key for groupByKey is limited by available RAM (see [Datablox][datablox link] and [the spark mailing list][list link]).

Just saying that better performance is available is not sufficient. Sometimes you need to do a group-by - your operation needs all the items available in order to complete. This warning explains the problem.

[datablox link]: http://databricks.gitbooks.io/databricks-spark-knowledge-base/content/best_practices/prefer_reducebykey_over_groupbykey.html
[list link]: http://apache-spark-user-list.1001560.n3.nabble.com/Understanding-RDD-GroupBy-OutOfMemory-Exceptions-tp11427p11466.html

Author: Eric Moyer <eric_moyer@yahoo.com>

Closes #3936 from RadixSeven/better-group-by-docs and squashes the following commits:

5b6f4e9 [Eric Moyer] groupByKey docs naming updates
238e81b [Eric Moyer] Doc that groupByKey will OOM for large keys

https://issues.apache.org/jira/browse/SPARK-5130

Author: WangTaoTheTonic <barneystinson@aliyun.com>

Closes #3929 from WangTaoTheTonic/SPARK-5130 and squashes the following commits:

c490648 [WangTaoTheTonic] take yarn-cluster as cluster mode in spark-submit

The property  `spark.executor.id` can represent both `driver` and `<driver>`  for one driver.
It's inconsistent.

This issue is minor so I didn't file this in JIRA.

Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>

Closes #3812 from sarutak/fix-driver-identifier and squashes the following commits:

d885498 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into fix-driver-identifier
4275663 [Kousuke Saruta] Fixed the value represented by spark.executor.id of local mode

when enabling eventlog in standalone mode, if give the wrong configuration, the standalone cluster will down (cause master restart, lose connection with workers).
How to reproduce: just give an invalid value to "spark.eventLog.dir", for example: spark.eventLog.dir=hdfs://tmp/logdir1, hdfs://tmp/logdir2. This will throw illegalArgumentException, which will cause the Master restart. And the whole cluster is not available.

Author: Zhang, Liye <liye.zhang@intel.com>

Closes #3824 from liyezhang556520/wrongConf4Cluster and squashes the following commits:

3c24d98 [Zhang, Liye] revert change with logwarning and excetption for FileNotFoundException
3c1ac2e [Zhang, Liye] change var to val
a49c52f [Zhang, Liye] revert wrong modification
12eee85 [Zhang, Liye] add more message in log and on webUI
5c1fa33 [Zhang, Liye] cache exceptions when eventlog with wrong conf

Convert bi-directional edges into uni-directional ones instead of 'canonicalOrientation' in GraphLoader.edgeListFile.
This function is useful when a graph is loaded as it is and then is transformed into one with canonical edges.
It rewrites the vertex ids of edges so that srcIds are bigger than dstIds, and merges the duplicated edges.

Author: Takeshi Yamamuro <linguin.m.s@gmail.com>

Closes #3760 from maropu/ConvertToCanonicalEdgesSpike and squashes the following commits:

7f8b580 [Takeshi Yamamuro] Add a function to convert into a graph with canonical edges in GraphOps

Author: Sandy Ryza <sandy@cloudera.com>

Closes #3896 from sryza/sandy-spark-5087 and squashes the following commits:

65611d0 [Sandy Ryza] Review feedback
3294176 [Sandy Ryza] SPARK-5087. [YARN] Merge yarn.Client and yarn.ClientBase

This commit exists to close the following pull requests on Github:

Closes #3880 (close requested by 'ash211')
Closes #3649 (close requested by 'marmbrus')
Closes #3791 (close requested by 'mengxr')
Closes #3559 (close requested by 'andrewor14')
Closes #3879 (close requested by 'ash211')

Add extractor for SparseVector and DenseVector in MLlib to save some code while performing pattern matching on Vectors. For example, previously we may use:

     vec match {
          case dv: DenseVector =>
            val values = dv.values
            ...
          case sv: SparseVector =>
            val indices = sv.indices
            val values = sv.values
            val size = sv.size
            ...
      }

with extractor it is:

    vec match {
        case DenseVector(values) =>
          ...
        case SparseVector(size, indices, values) =>
          ...
    }

Author: Shuo Xiang <shuoxiangpub@gmail.com>

Closes #3919 from coderxiang/extractor and squashes the following commits:

359e8d5 [Shuo Xiang] merge master
ca5fc3e [Shuo Xiang] merge master
0b1e190 [Shuo Xiang] use extractor for vectors in RowMatrix.scala
e961805 [Shuo Xiang] use extractor for vectors in StandardScaler.scala
c2bbdaf [Shuo Xiang] use extractor for vectors in IDFscala
8433922 [Shuo Xiang] use extractor for vectors in NaiveBayes.scala and Normalizer.scala
d83c7ca [Shuo Xiang] use extractor for vectors in Vectors.scala
5523dad [Shuo Xiang] Add extractor for SparseVector and DenseVector