In additional-metrics.js, there are some selector notation like `input:checkbox` but JQuery's official document says `input[type="checkbox"]` is better.

https://api.jquery.com/checkbox-selector/

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

Closes #5254 from sarutak/SPARK-6597 and squashes the following commits:

a253bc4 [Kousuke Saruta] Replaced input:checkbox with input[type="checkbox"]

Authorizes incoming access to master on the ports required to use the hadoop hdfs nfs gateway from outside the cluster.

Author: Florian Verhein <florian.verhein@gmail.com>

Closes #5257 from florianverhein/master and squashes the following commits:

72a586a [Florian Verhein] [EC2] [SPARK-6600] initial impl

Hi all - this patch changes the Stage class to an abstract class and introduces two new classes that extend it: ShuffleMapStage and ResultStage - with the goal of increasing readability of the DAGScheduler class. Their usage is updated within DAGScheduler.

Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Author: Ilya Ganelin <ilganeli@gmail.com>

Closes #4708 from ilganeli/SPARK-4655 and squashes the following commits:

c248924 [Ilya Ganelin] Merge branch 'SPARK-4655' of github.com:ilganeli/spark into SPARK-4655
d930385 [Ilya Ganelin] Fixed merge conflict from
a9a765f [Ilya Ganelin] Update DAGScheduler.scala
c03563c [Ilya Ganelin] Minor fixeS
c39e971 [Ilya Ganelin] Added return typing for public methods
845bc87 [Ilya Ganelin] Merge branch 'SPARK-4655' of github.com:ilganeli/spark into SPARK-4655
e8031d8 [Ilya Ganelin] Minor string fixes
4ec53ac [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-4655
c004f62 [Ilya Ganelin] Update DAGScheduler.scala
a2cb03f [Ilya Ganelin] [SPARK-4655] Replaced usages of Nil and eliminated some code reuse
3d5cf20 [Ilya Ganelin] [SPARK-4655] Moved mima exclude to 1.4
6912c55 [Ilya Ganelin] Resolved merge conflict
4bff208 [Ilya Ganelin] Minor stylistic fixes
c6fffbb [Ilya Ganelin] newline
41402ad [Ilya Ganelin] Style fixes
02c6981 [Ilya Ganelin] Merge branch 'SPARK-4655' of github.com:ilganeli/spark into SPARK-4655
c755a09 [Ilya Ganelin] Some more stylistic updates and minor refactoring
b6257a0 [Ilya Ganelin] Update MimaExcludes.scala
0f0c624 [Ilya Ganelin] Fixed merge conflict
2eba262 [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-4655
6b43d7b [Ilya Ganelin] Got rid of some spaces
6f1a5db [Ilya Ganelin] Revert "More minor formatting and refactoring"
1b3471b [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-4655
c9288e2 [Ilya Ganelin] More minor formatting and refactoring
d548caf [Ilya Ganelin] Formatting fix
c3ae5c2 [Ilya Ganelin] Explicit typing
0dacaf3 [Ilya Ganelin] Got rid of stale import
6da3a71 [Ilya Ganelin] Trailing whitespace
b85c5fe [Ilya Ganelin] Added minor fixes
a57dfcd [Ilya Ganelin] Added MiMA exclusion to get around binary compatibility check
83ed849 [Ilya Ganelin] moved braces for consistency
96dd161 [Ilya Ganelin] Fixed minor style error
cfd6f10 [Ilya Ganelin] Updated DAGScheduler to use new ResultStage and ShuffleMapStage classes
83494e9 [Ilya Ganelin] Added new Stage classes

Author: Reynold Xin <rxin@databricks.com>

Closes #5287 from rxin/pyspark-df-doc-cleanup-context and squashes the following commits:

1841b60 [Reynold Xin] Lint.
f2007f1 [Reynold Xin] functions and types.
bc3b72b [Reynold Xin] More improvements to DataFrame Python doc.
ac1d4c0 [Reynold Xin] Bug fix.
b163365 [Reynold Xin] Python fix. Added Experimental flag to DataFrameNaFunctions.
608422d [Reynold Xin] [Doc] Cleanup context.py Python docs.

[SPARK-6614] OutputCommitCoordinator should clear authorized committer only after authorized committer fails, not after any failure

In OutputCommitCoordinator, there is some logic to clear the authorized committer's lock on committing in case that task fails.  However, it looks like the current code also clears this lock if other non-authorized tasks fail, which is an obvious bug.

In theory, it's possible that this could allow a new committer to start, run to completion, and commit output before the authorized committer finished, but it's unlikely that this race occurs often in practice due to the complex combination of failure and timing conditions that would be required to expose it.

This patch addresses this issue and adds a regression test.

Thanks to aarondav for spotting this issue.

Author: Josh Rosen <joshrosen@databricks.com>

Closes #5276 from JoshRosen/SPARK-6614 and squashes the following commits:

d532ba7 [Josh Rosen] Check whether failed task was authorized committer
cbb3784 [Josh Rosen] Add regression test for SPARK-6614

Word2Vec model now supports saving and loading.

a] The Metadata stored in JSON format consists of "version", "classname", "vectorSize" and "numWords"
b] The data stored in Parquet file format consists of an Array of rows with each row consisting of 2 columns, first being the word: String and the second, an Array of Floats.

Author: MechCoder <manojkumarsivaraj334@gmail.com>

Closes #5291 from MechCoder/spark-5692 and squashes the following commits:

1142f3a [MechCoder] Add numWords to metaData
bfe4c39 [MechCoder] [SPARK-5692] Word2Vec save/load

[SPARK-6633][SQL] Should be "Contains" instead of "EndsWith" when constructing sources.StringContains

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

Closes #5299 from viirya/stringcontains and squashes the following commits:

c1ece4c [Liang-Chi Hsieh] Should be Contains instead of EndsWith.

Before it was possible for a query to flip back and forth from a resolved state, allowing resolution to propagate up before coercion had stabilized.  The issue was that `ResolvedReferences` would run after `FunctionArgumentConversion`, but before `PropagateTypes` had run.  This PR ensures we correctly `PropagateTypes` after any coercion has applied.

Author: Michael Armbrust <michael@databricks.com>

Closes #5278 from marmbrus/unionNull and squashes the following commits:

dc3581a [Michael Armbrust] [SPARK-5371][SQL] Propogate types after function conversion / before futher resolution

Python API parity check for classification and multiclass classification support, major disparities need to be added for Python:
```scala
LogisticRegressionWithLBFGS
    setNumClasses
    setValidateData
LogisticRegressionModel
    getThreshold
    numClasses
    numFeatures
SVMWithSGD
    setValidateData
SVMModel
    getThreshold
```
For users the greatest benefit in this PR is multiclass classification was supported by Python API.
Users can train multiclass classification model and use it to predict in pyspark.

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #5137 from yanboliang/spark-6255 and squashes the following commits:

0bd531e [Yanbo Liang] address comments
444d5e2 [Yanbo Liang] LogisticRegressionModel.predict() optimization
fc7990b [Yanbo Liang] address comments
b0d9c63 [Yanbo Liang] Support Mulinomial LR model predict in Python API
ded847c [Yanbo Liang] Python API parity check for classification (support multiclass classification)

This is the sub-task of SPARK-6254.
Wrapping IDFModel `idf` member function for pyspark.

Author: lewuathe <lewuathe@me.com>

Closes #5264 from Lewuathe/SPARK-6598 and squashes the following commits:

1dc522c [lewuathe] [SPARK-6598] Python API for IDFModel

This PR is based on work by cloud-fan in #4904, but with two differences:
 - We isolate the logic for Sort's special handling into `ResolveSortReferences`
 - We avoid creating UnresolvedGetField expressions during resolution.  Instead we either resolve GetField or we return None.  This avoids us going down the wrong path early on.

Author: Michael Armbrust <michael@databricks.com>

Closes #5189 from marmbrus/nestedOrderBy and squashes the following commits:

b8cae45 [Michael Armbrust] fix another test
0f36a11 [Michael Armbrust] WIP
91820cd [Michael Armbrust] Fix bug.

[SPARK-6575] [SQL] Adds configuration to disable schema merging while converting metastore Parquet tables

Consider a metastore Parquet table that

1. doesn't have schema evolution issue
2. has lots of data files and/or partitions

In this case, driver schema merging can be both slow and unnecessary. Would be good to have a configuration to let the use disable schema merging when converting such a metastore Parquet table.

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Author: Cheng Lian <lian@databricks.com>

Closes #5231 from liancheng/spark-6575 and squashes the following commits:

cd96159 [Cheng Lian] Adds configuration to disable schema merging while converting metastore Parquet tables

Also removes temporary workarounds made in #5183 and #5251.

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Author: Cheng Lian <lian@databricks.com>

Closes #5289 from liancheng/spark-6555 and squashes the following commits:

d0095ac [Cheng Lian] Removes unused imports
cfafeeb [Cheng Lian] Removes outdated comment
75a2746 [Cheng Lian] Overrides equals() and hashCode() for MetastoreRelation

Added optional model type parameter for  NaiveBayes training. Can be either Multinomial or Bernoulli.

When Bernoulli is given the Bernoulli smoothing is used for fitting and for prediction as per: http://nlp.stanford.edu/IR-book/html/htmledition/the-bernoulli-model-1.html.

 Default for model is original Multinomial fit and predict.

Added additional testing for Bernoulli and Multinomial models.

Author: leahmcguire <lmcguire@salesforce.com>
Author: Joseph K. Bradley <joseph@databricks.com>
Author: Leah McGuire <lmcguire@salesforce.com>

Closes #4087 from leahmcguire/master and squashes the following commits:

f3c8994 [leahmcguire] changed checks on model type to requires
acb69af [leahmcguire] removed enum type and replaces all modelType parameters with strings
2224b15 [Leah McGuire] Merge pull request #2 from jkbradley/leahmcguire-master
9ad89ca [Joseph K. Bradley] removed old code
6a8f383 [Joseph K. Bradley] Added new model save/load format 2.0 for NaiveBayesModel after modelType parameter was added.  Updated tests.  Also updated ModelType enum-like type.
852a727 [leahmcguire] merged with upstream master
a22d670 [leahmcguire] changed NaiveBayesModel modelType parameter back to NaiveBayes.ModelType, made NaiveBayes.ModelType serializable, fixed getter method in NavieBayes
18f3219 [leahmcguire] removed private from naive bayes constructor for lambda only
bea62af [leahmcguire] put back in constructor for NaiveBayes
01baad7 [leahmcguire] made fixes from code review
fb0a5c7 [leahmcguire] removed typo
e2d925e [leahmcguire] fixed nonserializable error that was causing naivebayes test failures
2d0c1ba [leahmcguire] fixed typo in NaiveBayes
c298e78 [leahmcguire] fixed scala style errors
b85b0c9 [leahmcguire] Merge remote-tracking branch 'upstream/master'
900b586 [leahmcguire] fixed model call so that uses type argument
ea09b28 [leahmcguire] Merge remote-tracking branch 'upstream/master'
e016569 [leahmcguire] updated test suite with model type fix
85f298f [leahmcguire] Merge remote-tracking branch 'upstream/master'
dc65374 [leahmcguire] integrated model type fix
7622b0c [leahmcguire] added comments and fixed style as per rb
b93aaf6 [Leah McGuire] Merge pull request #1 from jkbradley/nb-model-type
3730572 [Joseph K. Bradley] modified NB model type to be more Java-friendly
b61b5e2 [leahmcguire] added back compatable constructor to NaiveBayesModel to fix MIMA test failure
5a4a534 [leahmcguire] fixed scala style error in NaiveBayes
3891bf2 [leahmcguire] synced with apache spark and resolved merge conflict
d9477ed [leahmcguire] removed old inaccurate comment from test suite for mllib naive bayes
76e5b0f [leahmcguire] removed unnecessary sort from test
0313c0c [leahmcguire] fixed style error in NaiveBayes.scala
4a3676d [leahmcguire] Updated changes re-comments. Got rid of verbose populateMatrix method. Public api now has string instead of enumeration. Docs are updated."
ce73c63 [leahmcguire] added Bernoulli option to niave bayes model in mllib, added optional model type parameter for training. When Bernoulli is given the Bernoulli smoothing is used for fitting and for prediction http://nlp.stanford.edu/IR-book/html/htmledition/the-bernoulli-model-1.html

Similar to `CreateArray`, we can add `CreateStruct` to create nested columns. marmbrus

Author: Xiangrui Meng <meng@databricks.com>

Closes #5195 from mengxr/SPARK-6542 and squashes the following commits:

3795c57 [Xiangrui Meng] update error message
ae7ac3e [Xiangrui Meng] move unit test to a separate suite
85dd559 [Xiangrui Meng] use NamedExpr
c78e31a [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-6542
85f3106 [Xiangrui Meng] add CreateStruct

JIRA: https://issues.apache.org/jira/browse/SPARK-6618

Author: Yin Huai <yhuai@databricks.com>

Closes #5281 from yhuai/lookupRelationLock and squashes the following commits:

591b4be [Yin Huai] A test?
b3a9625 [Yin Huai] Just protect client.

To maintain consistency with the Scala API.

Author: Reynold Xin <rxin@databricks.com>

Closes #5284 from rxin/df-na-alias and squashes the following commits:

19f46b7 [Reynold Xin] Show DataFrameNaFunctions in docs.
6618118 [Reynold Xin] [SPARK-6623][SQL] Alias DataFrame.na.drop and DataFrame.na.fill in Python.

Filters such as startsWith, endsWith, contains will be very useful for data sources that provide search functionality, e.g. Succinct, Elastic Search, Solr.

I also took this chance to improve documentation for the data source filters.

Author: Reynold Xin <rxin@databricks.com>

Closes #5285 from rxin/ds-string-filters and squashes the following commits:

f021727 [Reynold Xin] Fixed grammar.
7695a52 [Reynold Xin] [SPARK-6625][SQL] Add common string filters to data sources.

Hotfix for #4588

cc rxin

Author: zsxwing <zsxwing@gmail.com>

Closes #5283 from zsxwing/hotfix and squashes the following commits:

cf3e5a7 [zsxwing] Move StopCoordinator to the receive method since it does not require a reply

This pull request adds variants of DataFrame.na.drop and DataFrame.na.fill to the Scala/Java API, and DataFrame.fillna and DataFrame.dropna to the Python API.

Author: Reynold Xin <rxin@databricks.com>

Closes #5274 from rxin/df-missing-value and squashes the following commits:

4ee1b98 [Reynold Xin] Improve error reporting in Python.
33a330c [Reynold Xin] Remove replace for now.
bc4fdbb [Reynold Xin] Added documentation for replace.
d56f5a5 [Reynold Xin] Added replace for Scala/Java.
2385d00 [Reynold Xin] Feedback from Xiangrui on "how".
914a374 [Reynold Xin] fill with map.
185c67e [Reynold Xin] Allow specifying column subsets in fill.
749eb47 [Reynold Xin] fillna
249b94e [Reynold Xin] Removing undefined functions.
6a73c68 [Reynold Xin] Missing file.
67d7003 [Reynold Xin] [SPARK-6119][SQL] DataFrame.na.drop (Scala/Java) and DataFrame.dropna (Python)

This PR leverages the output commit coordinator introduced in #4066 to help committing Hive and Parquet tables.

This PR extracts output commit code in `SparkHadoopWriter.commit` to `SparkHadoopMapRedUtil.commitTask`, and reuses it for committing Parquet and Hive tables on executor side.

TODO

- [ ] Add tests

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Author: Cheng Lian <lian@databricks.com>

Closes #5139 from liancheng/spark-6369 and squashes the following commits:

72eb628 [Cheng Lian] Fixes typo in javadoc
9a4b82b [Cheng Lian] Adds javadoc and addresses @aarondav's comments
dfdf3ef [Cheng Lian] Uses commit coordinator to help committing Hive and Parquet tables

This PR create an alias for `registerFunction` as `udf.register`, to be consistent with Scala API.

It also deprecated inferSchema() and applySchema(), show an warning for them.

cc rxin

Author: Davies Liu <davies@databricks.com>

Closes #5273 from davies/udf and squashes the following commits:

476e947 [Davies Liu] address comments
c096fdb [Davies Liu] add SQLContext.udf and deprecate inferSchema() and applySchema

Currently there is a bug whereby if a new patch introduces more than one new dependency (or removes more than one) it breaks the Github post output (see [this build](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29399/consoleFull)). This hotfix will remove `awk` print statements in place of `printf` so as not to automatically add the newline character which is then escaped and added directly at the end of the `awk` statement. This should take a failed build output such as:

```json
data: {"body": "  [Test build #29400 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29400/consoleFull) for   PR 5266 at commit [`2aa4be0`](https://github.com/apache/spark/commit/2aa4be0e1d7ce052f8c901c6d9462c611c3a920a).\n * This patch **passes all tests**.\n * This patch merges cleanly.\n * This patch adds the following public classes _(experimental)_:\n  * `class IDF extends Estimator[IDFModel] with IDFParams `\n  * `class Normalizer extends UnaryTransformer[Vector, Vector, Normalizer] `\n\n * This patch **adds the following new dependencies:**\n   * `avro-1.7.7.jar`
   * `breeze-macros_2.10-0.11.2.jar`
   * `breeze_2.10-0.11.2.jar`\n * This patch **removes the following dependencies:**\n   * `avro-1.7.6.jar`
   * `breeze-macros_2.10-0.11.1.jar`
   * `breeze_2.10-0.11.1.jar`"}
```

and turn it into:

```json
data: {"body": "  [Test build #29400 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29400/consoleFull) for   PR 5266 at commit [`2aa4be0`](https://github.com/apache/spark/commit/2aa4be0e1d7ce052f8c901c6d9462c611c3a920a).\n * This patch **passes all tests**.\n * This patch merges cleanly.\n * This patch adds the following public classes _(experimental)_:\n  * `class IDF extends Estimator[IDFModel] with IDFParams `\n  * `class Normalizer extends UnaryTransformer[Vector, Vector, Normalizer] `\n\n * This patch **adds the following new dependencies:**\n   * `avro-1.7.7.jar`\n   * `breeze-macros_2.10-0.11.2.jar`\n   * `breeze_2.10-0.11.2.jar`\n * This patch **removes the following dependencies:**\n   * `avro-1.7.6.jar`\n   * `breeze-macros_2.10-0.11.1.jar`\n   * `breeze_2.10-0.11.1.jar`"}
```

I've tested this locally and all worked.

/cc srowen pwendell nchammas

Author: Brennon York <brennon.york@capitalone.com>

Closes #5269 from brennonyork/HOTFIX-SPARK-4123 and squashes the following commits:

a441068 [Brennon York] Updated awk to use printf and to manually insert newlines so that the JSON github string when posted is corrected

https://issues.apache.org/jira/browse/SPARK-6592

The current impl in SparkBuild.scala filter all classes under catalyst directory, however, we have a corner case that Row class is a public API under that directory

we need to include Row into the scaladoc while still excluding other classes of catalyst project

Thanks for the help on this patch from rxin and liancheng

Author: CodingCat <zhunansjtu@gmail.com>

Closes #5252 from CodingCat/SPARK-6592 and squashes the following commits:

02098a4 [CodingCat] ignore collection, enable types (except those protected classes)
f7af2cb [CodingCat] commit
3ab4403 [CodingCat] fix filter for scaladoc to generate API doc for Row.scala under catalyst directory

Now that we have `DataFrame`s it is possible to have multiple copies in a single query plan.  As such, it needs to inherit from `MultiInstanceRelation` or self joins will break.  I also add better debugging errors when our self join handling fails in case there are future bugs.

Author: Michael Armbrust <michael@databricks.com>

Closes #5251 from marmbrus/multiMetaStore and squashes the following commits:

4272f6d [Michael Armbrust] [SPARK-6595][SQL] MetastoreRelation should be MuliInstanceRelation

wihtout this change the below error happens when I execute sbin/start-all.sh

localhost: /spark-1.3/sbin/start-slave.sh: line 32: unexpected EOF while looking for matching `"'
localhost: /spark-1.3/sbin/start-slave.sh: line 33: syntax error: unexpected end of file

my operating system is Linux Mint 17.1 Rebecca

Author: Jose Manuel Gomez <jmgomez@stratio.com>

Closes #5262 from josegom/patch-2 and squashes the following commits:

453af8b [Jose Manuel Gomez] Update start-slave.sh
2c456bd [Jose Manuel Gomez] Update start-slave.sh

I've updated the Spark Programming Guide to add a section on the shuffle operation providing some background on what it does. I've also addressed some of its performance impacts.

I've included documentation to address the following issues:
https://issues.apache.org/jira/browse/SPARK-5836
https://issues.apache.org/jira/browse/SPARK-3441
https://issues.apache.org/jira/browse/SPARK-5750

https://issues.apache.org/jira/browse/SPARK-4227 is related but can be addressed in a separate PR since it involves updates to the Spark Configuration Guide.

Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Author: Ilya Ganelin <ilganeli@gmail.com>

Closes #5074 from ilganeli/SPARK-5750 and squashes the following commits:

6178e24 [Ilya Ganelin] Update programming-guide.md
7a0b96f [Ilya Ganelin] Update programming-guide.md
2c5df08 [Ilya Ganelin] Merge branch 'SPARK-5750' of github.com:ilganeli/spark into SPARK-5750
dffbd2d [Ilya Ganelin] [SPARK-5750] Slight wording update
1ff4eb4 [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-5750
85f9c6e [Ilya Ganelin] Update programming-guide.md
349d1fa [Ilya Ganelin] Added cross linkf or configuration page
eeb5a7a [Ilya Ganelin] [SPARK-5750] Added some minor fixes
dd5cc9d [Ilya Ganelin] [SPARK-5750] Fixed some factual inaccuracies with regards to shuffle internals.
a8adb57 [Ilya Ganelin] [SPARK-5750] Incoporated feedback from Sean Owen
9954bbe [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-5750
159dd1c [Ilya Ganelin] [SPARK-5750] Style fixes from rxin.
75ef67b [Ilya Ganelin] [SPARK-5750][SPARK-3441][SPARK-5836] Added documentation explaining the shuffle operation and included errata from a number of other JIRAs

In README.md under docs/ directory, it says that

> You can build just the Spark scaladoc by running build/sbt doc from the SPARK_PROJECT_ROOT directory.

I guess the right approach is build/sbt unidoc

Author: CodingCat <zhunansjtu@gmail.com>

Closes #5253 from CodingCat/SPARK-6596 and squashes the following commits:

af379ed [CodingCat] fix the instruction on building scaladoc

[spark-sql] a better exception message than "scala.MatchError" for unsupported types in Schema creation

Currently if trying to register an RDD (or DataFrame in 1.3) as a table that has types that have no supported Schema representation (e.g. type "Any") - it would throw a match error. e.g. scala.MatchError: Any (of class scala.reflect.internal.Types$ClassNoArgsTypeRef)

This fix is just to have a nicer error message than a MatchError

Author: Eran Medan <ehrann.mehdan@gmail.com>

Closes #5235 from eranation/patch-2 and squashes the following commits:

af4b1a2 [Eran Medan] Line should be under 100 chars
0c69e9d [Eran Medan] Change from sys.error UnsupportedOperationException
524be86 [Eran Medan] better exception than scala.MatchError: Any

Error log before fixed
<code>15/03/29 10:07:25 ERROR YarnScheduler: Lost an executor 24 (already removed): Executor heartbeat timed out after ${now - lastSeenMs} ms</code>

Author: Li Zhihui <zhihui.li@intel.com>

Closes #5255 from li-zhihui/fixstringinterpolator and squashes the following commits:

c93f2b7 [Li Zhihui] Fix string interpolator error in HeartbeatReceiver

This PR added a standard internal RPC interface for Spark and an Akka implementation. See [the design document](https://issues.apache.org/jira/secure/attachment/12698710/Pluggable%20RPC%20-%20draft%202.pdf) for more details.

I will split the whole work into multiple PRs to make it easier for code review. This is the first PR and avoid to touch too many files.

Author: zsxwing <zsxwing@gmail.com>

Closes #4588 from zsxwing/rpc-part1 and squashes the following commits:

fe3df4c [zsxwing] Move registerEndpoint and use actorSystem.dispatcher in asyncSetupEndpointRefByURI
f6f3287 [zsxwing] Remove RpcEndpointRef.toURI
8bd1097 [zsxwing] Fix docs and the code style
f459380 [zsxwing] Add RpcAddress.fromURI and rename urls to uris
b221398 [zsxwing] Move send methods above ask methods
15cfd7b [zsxwing] Merge branch 'master' into rpc-part1
9ffa997 [zsxwing] Fix MiMa tests
78a1733 [zsxwing] Merge remote-tracking branch 'origin/master' into rpc-part1
385b9c3 [zsxwing] Fix the code style and add docs
2cc3f78 [zsxwing] Add an asynchronous version of setupEndpointRefByUrl
e8dfec3 [zsxwing] Remove 'sendWithReply(message: Any, sender: RpcEndpointRef): Unit'
08564ae [zsxwing] Add RpcEnvFactory to create RpcEnv
e5df4ca [zsxwing] Handle AkkaFailure(e) in Actor
ec7c5b0 [zsxwing] Fix docs
7fc95e1 [zsxwing] Implement askWithReply in RpcEndpointRef
9288406 [zsxwing] Document thread-safety for setupThreadSafeEndpoint
3007c09 [zsxwing] Move setupDriverEndpointRef to RpcUtils and rename to makeDriverRef
c425022 [zsxwing] Fix the code style
5f87700 [zsxwing] Move the logical of processing message to a private function
3e56123 [zsxwing] Use lazy to eliminate CountDownLatch
07f128f [zsxwing] Remove ActionScheduler.scala
4d34191 [zsxwing] Remove scheduler from RpcEnv
7cdd95e [zsxwing] Add docs for RpcEnv
51e6667 [zsxwing] Add 'sender' to RpcCallContext and rename the parameter of receiveAndReply to 'context'
ffc1280 [zsxwing] Rename 'fail' to 'sendFailure' and other minor code style changes
28e6d0f [zsxwing] Add onXXX for network events and remove the companion objects of network events
3751c97 [zsxwing] Rename RpcResponse to RpcCallContext
fe7d1ff [zsxwing] Add explicit reply in rpc
7b9e0c9 [zsxwing] Fix the indentation
04a106e [zsxwing] Remove NopCancellable and add a const NOP in object SettableCancellable
2a579f4 [zsxwing] Remove RpcEnv.systemName
155b987 [zsxwing] Change newURI to uriOf and add some comments
45b2317 [zsxwing] A standard RPC interface and An Akka implementation

  Change FileServerSuite.test("HttpFileServer should not work with SSL when the server is untrusted") catch SSLException

Author: June.He <jun.hejun@huawei.com>

Closes #5239 from sisihj/SPARK-6585 and squashes the following commits:

cb19ae3 [June.He] Change FileServerSuite.test("HttpFileServer should not work with SSL when the server is untrusted") catch SSLException

Utils.getCurrentUserName returns UserGroupInformation.getCurrentUser().getUserName() when SPARK_USER isn't set. It should return UserGroupInformation.getCurrentUser().getShortUserName()
getUserName() returns the users full principal name (ie user1CORP.COM). getShortUserName() returns just the users login name (user1).

This just happens to work on YARN because the Client code sets:
env("SPARK_USER") = UserGroupInformation.getCurrentUser().getShortUserName()

Author: Thomas Graves <tgraves@apache.org>

Closes #5229 from tgravescs/SPARK-6558 and squashes the following commits:

24830bf [Thomas Graves] Utils.getCurrentUserName returns the full principal name instead of login name

Author: Nishkam Ravi <nravi@cloudera.com>
Author: nishkamravi2 <nishkamravi@gmail.com>
Author: nravi <nravi@c1704.halxg.cloudera.com>

Closes #5085 from nishkamravi2/master_nravi and squashes the following commits:

bad4349 [nishkamravi2] Update Main.java
36a6f87 [Nishkam Ravi] Minor changes and bug fixes
b7f4ae7 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
4a45d6a [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
458af39 [Nishkam Ravi] Locate the jar using getLocation, obviates the need to pass assembly path as an argument
d9658d6 [Nishkam Ravi] Changes for SPARK-6406
ccdc334 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
3faa7a4 [Nishkam Ravi] Launcher library changes (SPARK-6406)
345206a [Nishkam Ravi] spark-class merge Merge branch 'master_nravi' of https://github.com/nishkamravi2/spark into master_nravi
ac58975 [Nishkam Ravi] spark-class changes
06bfeb0 [nishkamravi2] Update spark-class
35af990 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
32c3ab3 [nishkamravi2] Update AbstractCommandBuilder.java
4bd4489 [nishkamravi2] Update AbstractCommandBuilder.java
746f35b [Nishkam Ravi] "hadoop" string in the assembly name should not be mandatory (everywhere else in spark we mandate spark-assembly*hadoop*.jar)
bfe96e0 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
ee902fa [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
d453197 [nishkamravi2] Update NewHadoopRDD.scala
6f41a1d [nishkamravi2] Update NewHadoopRDD.scala
0ce2c32 [nishkamravi2] Update HadoopRDD.scala
f7e33c2 [Nishkam Ravi] Merge branch 'master_nravi' of https://github.com/nishkamravi2/spark into master_nravi
ba1eb8b [Nishkam Ravi] Try-catch block around the two occurrences of removeShutDownHook. Deletion of semi-redundant occurrences of expensive operation inShutDown.
71d0e17 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
494d8c0 [nishkamravi2] Update DiskBlockManager.scala
3c5ddba [nishkamravi2] Update DiskBlockManager.scala
f0d12de [Nishkam Ravi] Workaround for IllegalStateException caused by recent changes to BlockManager.stop
79ea8b4 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
b446edc [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
5c9a4cb [nishkamravi2] Update TaskSetManagerSuite.scala
535295a [nishkamravi2] Update TaskSetManager.scala
3e1b616 [Nishkam Ravi] Modify test for maxResultSize
9f6583e [Nishkam Ravi] Changes to maxResultSize code (improve error message and add condition to check if maxResultSize > 0)
5f8f9ed [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
636a9ff [nishkamravi2] Update YarnAllocator.scala
8f76c8b [Nishkam Ravi] Doc change for yarn memory overhead
35daa64 [Nishkam Ravi] Slight change in the doc for yarn memory overhead
5ac2ec1 [Nishkam Ravi] Remove out
dac1047 [Nishkam Ravi] Additional documentation for yarn memory overhead issue
42c2c3d [Nishkam Ravi] Additional changes for yarn memory overhead issue
362da5e [Nishkam Ravi] Additional changes for yarn memory overhead
c726bd9 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
f00fa31 [Nishkam Ravi] Improving logging for AM memoryOverhead
1cf2d1e [nishkamravi2] Update YarnAllocator.scala
ebcde10 [Nishkam Ravi] Modify default YARN memory_overhead-- from an additive constant to a multiplier (redone to resolve merge conflicts)
2e69f11 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
efd688a [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark
2b630f9 [nravi] Accept memory input as "30g", "512M" instead of an int value, to be consistent with rest of Spark
3bf8fad [nravi] Merge branch 'master' of https://github.com/apache/spark
5423a03 [nravi] Merge branch 'master' of https://github.com/apache/spark
eb663ca [nravi] Merge branch 'master' of https://github.com/apache/spark
df2aeb1 [nravi] Improved fix for ConcurrentModificationIssue (Spark-1097, Hadoop-10456)
6b840f0 [nravi] Undo the fix for SPARK-1758 (the problem is fixed)
5108700 [nravi] Fix in Spark for the Concurrent thread modification issue (SPARK-1097, HADOOP-10456)
681b36f [nravi] Fix for SPARK-1758: failing test org.apache.spark.JavaAPISuite.wholeTextFiles

Starting work on this, but need to find a way to ensure that, after doing a checkout from `apache/master`, we can successfully return to the current checkout. I believe that `git rev-parse HEAD` will get me what I want, but pushing this PR up to test what the Jenkins boxes are seeing.

Author: Brennon York <brennon.york@capitalone.com>

Closes #5093 from brennonyork/SPARK-4123 and squashes the following commits:

42e243e [Brennon York] moved starting test output to before pr tests, fixed indentation, changed mvn call to build/mvn
dadd941 [Brennon York] reverted assembly pom, put the regular test suite back in play
7aa1dee [Brennon York] set new dendencies into a <code> block, removed the bash debugging flag
0074566 [Brennon York] fixed minor echo issue with quotes
e229802 [Brennon York] updated to print the new dependency found
27bb9b5 [Brennon York] changed the assembly pom to test whether the pr test will pick up new deps
5375ad8 [Brennon York] git output to dev null
9bce980 [Brennon York] ensure both gate files exist
8f3c4b4 [Brennon York] updated to reflect the correct pushed in HEAD variable
2bc7b27 [Brennon York] added a pom gate check
a18db71 [Brennon York] full test of new deps script
ea170de [Brennon York] dont let mvn execute tests
f70d8cd [Brennon York] testing mvn with package
62ffd65 [Brennon York] updated dependency output message and changed compile to package given the jenkins failure output
04747e4 [Brennon York] adding simple mvn statement to see if command executes and prints compile output
87f9bea [Brennon York] added -x flag with bash to get insight into what is executing and what isnt
9e87208 [Brennon York] added set blocks to catch any non-zero exit codes and updated output
6b3042b [Brennon York] removed excess git checkout print statements
4077d46 [Brennon York] Merge remote-tracking branch 'upstream/master' into SPARK-4123
2bb5527 [Brennon York] added echo statement so jenkins logs which pr tests are running
d027f8f [Brennon York] proper piping of unnecessary stderr and stdout
6e2890d [Brennon York] updated test output newlines
d9f6f7f [Brennon York] removed echo
bad9a3a [Brennon York] added back the new deps test
e9e3ad1 [Brennon York] removed escapes for quotes
97e5cfb [Brennon York] commenting out new deps script
17379a5 [Brennon York] Merge remote-tracking branch 'upstream/master' into SPARK-4123
56f74a8 [Brennon York] updated the unop for ensuring a test is available
f2abc8c [Brennon York] removed the git checkout
6912584 [Brennon York] added this_mssg echo output
c610d42 [Brennon York] removed the error to dev/null
b98f78c [Brennon York] added the removed deps and echo output for jenkins testing
291a8fe [Brennon York] updated location of maven binary
126ce61 [Brennon York] removing new deps test to isolate why jenkins isn't posting messages
f8011d8 [Brennon York] minor updates and style changes
63a35c9 [Brennon York] updated new dependencies test
dae7ba8 [Brennon York] Capturing output directly from dependency builds
94d3547 [Brennon York] adding the new dependencies script into the test mix
2bca3c3 [Brennon York] added a git checkout 'git rev-parse HEAD' to the end of each pr test
ae83b90 [Brennon York] removed jenkins tests to grab some values from the jenkins box
4110993 [Brennon York] beginning work on pr test to add new dependencies

Author: Reynold Xin <rxin@databricks.com>

Closes #5238 from rxin/pyspark-docs and squashes the following commits:

c285951 [Reynold Xin] Reset deprecation warning.
8c1031e [Reynold Xin] inferSchema
dd91b1a [Reynold Xin] [DOC] Improvements to Python docs.

This fixes `predictAll` after load. jkbradley

Author: Xiangrui Meng <meng@databricks.com>

Closes #5243 from mengxr/SPARK-6571 and squashes the following commits:

82dcaa7 [Xiangrui Meng] use wrapper in MatrixFactorizationModel.load

https://issues.apache.org/jira/browse/SPARK-6552

/cc srowen

Author: WangTaoTheTonic <wangtao111@huawei.com>

Closes #5205 from WangTaoTheTonic/SPARK-6552 and squashes the following commits:

b02263c [WangTaoTheTonic] use less than rather than less equal
f0fa408 [WangTaoTheTonic] expose start-slave.sh

Opening to replace #5188.

When Spark SQL infers a schema for a DataFrame, it will take the union of all field types present in the structured source data (e.g. an RDD of JSON data). When the source data for a row doesn't define a particular field on the DataFrame's schema, a null value will simply be assumed for this field. This workflow makes it very easy to construct tables and query over a set of structured data with a nonuniform schema. However, this behavior is not consistent in some cases when dealing with Parquet files and an external table managed by an external Hive metastore.

In our particular usecase, we use Spark Streaming to parse and transform our input data and then apply a window function to save an arbitrary-sized batch of data as a Parquet file, which itself will be added as a partition to an external Hive table via an *"ALTER TABLE... ADD PARTITION..."* statement. Since our input data is nonuniform, it is expected that not every partition batch will contain every field present in the table's schema obtained from the Hive metastore. As such, we expect that the schema of some of our Parquet files may not contain the same set fields present in the full metastore schema.

In such cases, it seems natural that Spark SQL would simply assume null values for any missing fields in the partition's Parquet file, assuming these fields are specified as nullable by the metastore schema. This is not the case in the current implementation of ParquetRelation2. The **mergeMetastoreParquetSchema()** method used to reconcile differences between a Parquet file's schema and a schema retrieved from the Hive metastore will raise an exception if the Parquet file doesn't match the same set of fields specified by the metastore.

This pull requests alters the behavior of **mergeMetastoreParquetSchema()** by having it first add any nullable fields from the metastore schema to the Parquet file schema if they aren't already present there.

Author: Adam Budde <budde@amazon.com>

Closes #5214 from budde/nullable-fields and squashes the following commits:

a52d378 [Adam Budde] Refactor ParquetSchemaSuite.scala for cases now permitted by SPARK-6471 and SPARK-6538
9041bfa [Adam Budde] Add missing nullable Metastore fields when merging a Parquet schema

Author: Reynold Xin <rxin@databricks.com>

Closes #5226 from rxin/empty-df and squashes the following commits:

1306d88 [Reynold Xin] Proper fix.
e135bb9 [Reynold Xin] [SPARK-6564][SQL] SQLContext.emptyDataFrame should contain 0 rows, not 1 row.