[Build] Diff from branch point

Sometimes Jenkins posts [spurious reports of new classes being added](https://github.com/apache/spark/pull/2339#issuecomment-56570170). I believe this stems from diffing the patch against `master`, as opposed to against `master...`, which starts from the commit the PR was branched from.

This patch fixes that behavior.

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

Closes #2512 from nchammas/diff-only-commits-ahead and squashes the following commits:

c065599 [Nicholas Chammas] comment typo fix
a453c67 [Nicholas Chammas] diff from branch point
[SPARK-3659] Set EC2 version to 1.1.0 and update version map

This brings the master branch in sync with branch-1.1

Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>

Closes #2510 from shivaram/spark-ec2-version and squashes the following commits:

bb0dd16 [Shivaram Venkataraman] Set EC2 version to 1.1.0 and update version map
[SPARK-3634] [PySpark] User's module should take precedence over system modules

Python modules added through addPyFile should take precedence over system modules.

This patch put the path for user added module in the front of sys.path (just after '').

Author: Davies Liu <davies.liu@gmail.com>

Closes #2492 from davies/path and squashes the following commits:

4a2af78 [Davies Liu] fix tests
f7ff4da [Davies Liu] ad license header
6b0002f [Davies Liu] add tests
c16c392 [Davies Liu] put addPyFile in front of sys.path
[SPARK-3679] [PySpark] pickle the exact globals of functions

function.func_code.co_names has all the names used in the function, including name of attributes. It will pickle some unnecessary globals if there is a global having the same name with attribute (in co_names).

There is a regression introduced by #2144, revert part of changes in that PR.

cc JoshRosen

Author: Davies Liu <davies.liu@gmail.com>

Closes #2522 from davies/globals and squashes the following commits:

dfbccf5 [Davies Liu] fix bug while pickle globals of function
[SPARK-3615][Streaming]Fix Kafka unit test hard coded Zookeeper port issue

Details can be seen in [SPARK-3615](https://issues.apache.org/jira/browse/SPARK-3615).

Author: jerryshao <saisai.shao@intel.com>

Closes #2483 from jerryshao/SPARK_3615 and squashes the following commits:

8555563 [jerryshao] Fix Kafka unit test hard coded Zookeeper port issue
[SPARK-546] Add full outer join to RDD and DStream.

leftOuterJoin and rightOuterJoin are already implemented.  This patch adds fullOuterJoin.

Author: Aaron Staple <aaron.staple@gmail.com>

Closes #1395 from staple/SPARK-546 and squashes the following commits:

1f5595c [Aaron Staple] Fix python style
7ac0aa9 [Aaron Staple] [SPARK-546] Add full outer join to RDD and DStream.
3b5d137 [Aaron Staple] In JavaPairDStream, make class tag specification in rightOuterJoin consistent with other functions.
31f2956 [Aaron Staple] Fix left outer join documentation comments.
[SPARK-2778] [yarn] Add yarn integration tests.

This patch adds a couple of, currently, very simple integration tests
to make sure both client and cluster modes are working. The tests don't
do much yet other than run a simple job, but the plan is to enhance
them after we get the framework in.

The cluster tests are noisy, so redirect all log output to a file
like other tests do. Copying the conf around sucks but it's less
work than messing with maven/sbt and having to clean up other
projects.

Note the test is only added for yarn-stable. The code compiles
against yarn-alpha but there are two issues I ran into that I
could not overcome:
- an old netty dependency kept creeping into the classpath and
  causing akka to not work, when using sbt; the old netty was
  correctly suppressed under maven.
- MiniYARNCluster kept failing to execute containers because it
  did not create the NM's local dir itself; this is apparently
  a known behavior, but I'm not sure how to work around it.

None of those issues are present with the stable Yarn.

Also, these tests are a little slow to run. Apparently Spark doesn't
yet tag tests (so that these could be isolated in a "slow" batch),
so this is something to keep in mind.

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #2257 from vanzin/yarn-tests and squashes the following commits:

6d5b84e [Marcelo Vanzin] Fix wrong system property being set.
8b0933d [Marcelo Vanzin] Merge branch 'master' into yarn-tests
5c2b56f [Marcelo Vanzin] Use custom log4j conf for Yarn containers.
ec73f17 [Marcelo Vanzin] More review feedback.
67f5b02 [Marcelo Vanzin] Review feedback.
f01517c [Marcelo Vanzin] Review feedback.
68fbbbf [Marcelo Vanzin] Use older constructor available in older Hadoop releases.
d07ef9a [Marcelo Vanzin] Merge branch 'master' into yarn-tests
add8416 [Marcelo Vanzin] [SPARK-2778] [yarn] Add yarn integration tests.
SPARK-2932 [STREAMING] Move MasterFailureTest out of "main" source directory

(HT @vanzin) Whatever the reason was for having this test class in `main`, if there is one, appear to be moot. This may have been a result of earlier streaming test reorganization.

This simply puts `MasterFailureTest` back under `test/`, removes some redundant copied code, and touches up a few tiny inspection warnings along the way.

Author: Sean Owen <sowen@cloudera.com>

Closes #2399 from srowen/SPARK-2932 and squashes the following commits:

3909411 [Sean Owen] Move MasterFailureTest to src/test, and remove redundant TestOutputStream
[SPARK-3690] Closing shuffle writers we swallow more important exception

Author: epahomov <pahomov.egor@gmail.com>

Closes #2537 from epahomov/SPARK-3690 and squashes the following commits:

a0b7de4 [epahomov] [SPARK-3690] Closing shuffle writers we swallow more important exception
[SPARK-1484][MLLIB] Warn when running an iterative algorithm on uncached data.

Add warnings to KMeans, GeneralizedLinearAlgorithm, and computeSVD when called with input data that is not cached. KMeans is implemented iteratively, and I believe that GeneralizedLinearAlgorithm’s current optimizers are iterative and its future optimizers are also likely to be iterative. RowMatrix’s computeSVD is iterative against an RDD when run in DistARPACK mode. ALS and DecisionTree are iterative as well, but they implement RDD caching internally so do not require a warning.

I added a warning to GeneralizedLinearAlgorithm rather than inside its optimizers, where the iteration actually occurs, because internally GeneralizedLinearAlgorithm maps its input data to an uncached RDD before passing it to an optimizer. (In other words, the warning would be printed for every GeneralizedLinearAlgorithm run, regardless of whether its input is cached, if the warning were in GradientDescent or other optimizer.) I assume that use of an uncached RDD by GeneralizedLinearAlgorithm is intentional, and that the mapping there (adding label, intercepts and scaling) is a lightweight operation. Arguably a user calling an optimizer such as GradientDescent will be knowledgable enough to cache their data without needing a log warning, so lack of a warning in the optimizers may be ok.

Some of the documentation examples making use of these iterative algorithms did not cache their training RDDs (while others did). I updated the examples to always cache. I also fixed some (unrelated) minor errors in the documentation examples.

Author: Aaron Staple <aaron.staple@gmail.com>

Closes #2347 from staple/SPARK-1484 and squashes the following commits:

bd49701 [Aaron Staple] Address review comments.
ab2d4a4 [Aaron Staple] Disable warnings on python code path.
a7a0f99 [Aaron Staple] Change code comments per review comments.
7cca1dc [Aaron Staple] Change warning message text.
c77e939 [Aaron Staple] [SPARK-1484][MLLIB] Warn when running an iterative algorithm on uncached data.
3b6c511 [Aaron Staple] Minor doc example fixes.
[SPARK-3584] sbin/slaves doesn't work when we use password authentication for SSH

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

Closes #2444 from sarutak/slaves-scripts-modification and squashes the following commits:

eff7394 [Kousuke Saruta] Improve the description about Cluster Launch Script in docs/spark-standalone.md
7858225 [Kousuke Saruta] Modified sbin/slaves to use the environment variable "SPARK_SSH_FOREGROUND" as a flag
53d7121 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into slaves-scripts-modification
e570431 [Kousuke Saruta] Added a description for SPARK_SSH_FOREGROUND variable
7120a0c [Kousuke Saruta] Added a description about default host for sbin/slaves
1bba8a9 [Kousuke Saruta] Added SPARK_SSH_FOREGROUND flag to sbin/slaves
88e2f17 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into slaves-scripts-modification
297e75d [Kousuke Saruta] Modified sbin/slaves not to export HOSTLIST
SPARK-2634: Change MapOutputTrackerWorker.mapStatuses to ConcurrentHashMap

MapOutputTrackerWorker.mapStatuses is used concurrently, it should be thread-safe. This bug has already been fixed in #1328. Nevertheless, considering #1328 won't be merged soon, I send this trivial fix and hope this issue can be solved soon.

Author: zsxwing <zsxwing@gmail.com>

Closes #1541 from zsxwing/SPARK-2634 and squashes the following commits:

d450053 [zsxwing] SPARK-2634: Change MapOutputTrackerWorker.mapStatuses to ConcurrentHashMap
[SPARK-3686][STREAMING] Wait for sink to commit the channel before check...

...ing for the channel size.

Author: Hari Shreedharan <hshreedharan@apache.org>

Closes #2531 from harishreedharan/sparksinksuite-fix and squashes the following commits:

30393c1 [Hari Shreedharan] Use more deterministic method to figure out when batches come in.
6ce9d8b [Hari Shreedharan] [SPARK-3686][STREAMING] Wait for sink to commit the channel before checking for the channel size.
[SPARK-3478] [PySpark] Profile the Python tasks

This patch add profiling support for PySpark, it will show the profiling results
before the driver exits, here is one example:

```
============================================================
Profile of RDD<id=3>
============================================================
         5146507 function calls (5146487 primitive calls) in 71.094 seconds

   Ordered by: internal time, cumulative time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
  5144576   68.331    0.000   68.331    0.000 statcounter.py:44(merge)
       20    2.735    0.137   71.071    3.554 statcounter.py:33(__init__)
       20    0.017    0.001    0.017    0.001 {cPickle.dumps}
     1024    0.003    0.000    0.003    0.000 t.py:16(<lambda>)
       20    0.001    0.000    0.001    0.000 {reduce}
       21    0.001    0.000    0.001    0.000 {cPickle.loads}
       20    0.001    0.000    0.001    0.000 copy_reg.py:95(_slotnames)
       41    0.001    0.000    0.001    0.000 serializers.py:461(read_int)
       40    0.001    0.000    0.002    0.000 serializers.py:179(_batched)
       62    0.000    0.000    0.000    0.000 {method 'read' of 'file' objects}
       20    0.000    0.000   71.072    3.554 rdd.py:863(<lambda>)
       20    0.000    0.000    0.001    0.000 serializers.py:198(load_stream)
    40/20    0.000    0.000   71.072    3.554 rdd.py:2093(pipeline_func)
       41    0.000    0.000    0.002    0.000 serializers.py:130(load_stream)
       40    0.000    0.000   71.072    1.777 rdd.py:304(func)
       20    0.000    0.000   71.094    3.555 worker.py:82(process)
```

Also, use can show profile result manually by `sc.show_profiles()` or dump it into disk
by `sc.dump_profiles(path)`, such as

```python
>>> sc._conf.set("spark.python.profile", "true")
>>> rdd = sc.parallelize(range(100)).map(str)
>>> rdd.count()
100
>>> sc.show_profiles()
============================================================
Profile of RDD<id=1>
============================================================
         284 function calls (276 primitive calls) in 0.001 seconds

   Ordered by: internal time, cumulative time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        4    0.000    0.000    0.000    0.000 serializers.py:198(load_stream)
        4    0.000    0.000    0.000    0.000 {reduce}
     12/4    0.000    0.000    0.001    0.000 rdd.py:2092(pipeline_func)
        4    0.000    0.000    0.000    0.000 {cPickle.loads}
        4    0.000    0.000    0.000    0.000 {cPickle.dumps}
      104    0.000    0.000    0.000    0.000 rdd.py:852(<genexpr>)
        8    0.000    0.000    0.000    0.000 serializers.py:461(read_int)
       12    0.000    0.000    0.000    0.000 rdd.py:303(func)
```
The profiling is disabled by default, can be enabled by "spark.python.profile=true".

Also, users can dump the results into disks automatically for future analysis, by "spark.python.profile.dump=path_to_dump"

Author: Davies Liu <davies.liu@gmail.com>

Closes #2351 from davies/profiler and squashes the following commits:

7ef2aa0 [Davies Liu] bugfix, add tests for show_profiles and dump_profiles()
2b0daf2 [Davies Liu] fix docs
7a56c24 [Davies Liu] bugfix
cba9463 [Davies Liu] move show_profiles and dump_profiles to SparkContext
fb9565b [Davies Liu] Merge branch 'master' of github.com:apache/spark into profiler
116d52a [Davies Liu] Merge branch 'master' of github.com:apache/spark into profiler
09d02c3 [Davies Liu] Merge branch 'master' into profiler
c23865c [Davies Liu] Merge branch 'master' into profiler
15d6f18 [Davies Liu] add docs for two configs
dadee1a [Davies Liu] add docs string and clear profiles after show or dump
4f8309d [Davies Liu] address comment, add tests
0a5b6eb [Davies Liu] fix Python UDF
4b20494 [Davies Liu] add profile for python
SPARK-3639 | Removed settings master in examples

This patch removes setting of master as local in Kinesis examples so that users can set it using submit-job.

Author: aniketbhatnagar <aniket.bhatnagar@gmail.com>

Closes #2536 from aniketbhatnagar/Kinesis-Examples-Master-Unset and squashes the following commits:

c9723ac [aniketbhatnagar] Merge remote-tracking branch 'origin/Kinesis-Examples-Master-Unset' into Kinesis-Examples-Master-Unset
fec8ead [aniketbhatnagar] SPARK-3639 | Removed settings master in examples
31cdc59 [aniketbhatnagar] SPARK-3639 | Removed settings master in examples
[SPARK-3614][MLLIB] Add minimumOccurence filtering to IDF

This PR for [SPARK-3614](https://issues.apache.org/jira/browse/SPARK-3614) adds functionality for filtering out terms which do not appear in at least a minimum number of documents.

This is implemented using a minimumOccurence parameter (default 0).  When terms' document frequencies are less than minimumOccurence, their IDFs are set to 0, just like when the DF is 0.  As a result, the TF-IDFs for the terms are found to be 0, as if the terms were not present in the documents.

This PR makes the following changes:
* Add a minimumOccurence parameter to the IDF and DocumentFrequencyAggregator classes.
* Create a parameter-less constructor for IDF with a default minimumOccurence value of 0 to remain backwards-compatibility with the original IDF API.
* Sets the IDFs to 0 for terms which DFs are less than minimumOccurence
* Add tests to the Spark IDFSuite and Java JavaTfIdfSuite test suites
* Updated the MLLib Feature Extraction programming guide to describe the new feature

Author: RJ Nowling <rnowling@gmail.com>

Closes #2494 from rnowling/spark-3614-idf-filter and squashes the following commits:

0aa3c63 [RJ Nowling] Fix identation
e6523a8 [RJ Nowling] Remove unnecessary toDouble's from IDFSuite
bfa82ec [RJ Nowling] Add space after if
30d20b3 [RJ Nowling] Add spaces around equals signs
9013447 [RJ Nowling] Add space before division operator
79978fc [RJ Nowling] Remove unnecessary semi-colon
40fd70c [RJ Nowling] Change minimumOccurence to minDocFreq in code and docs
47850ab [RJ Nowling] Changed minimumOccurence to Int from Long
9fb4093 [RJ Nowling] Remove unnecessary lines from IDF class docs
1fc09d8 [RJ Nowling] Add backwards-compatible constructor to DocumentFrequencyAggregator
1801fd2 [RJ Nowling] Fix style errors in IDF.scala
6897252 [RJ Nowling] Preface minimumOccurence members with val to make them final and immutable
a200bab [RJ Nowling] Remove unnecessary else statement
4b974f5 [RJ Nowling] Remove accidentally-added import from testing
c0cc643 [RJ Nowling] Add minimumOccurence filtering to IDF
[SPARK-3695]shuffle fetch fail output

should output detailed host and port in error message

Author: Daoyuan Wang <daoyuan.wang@intel.com>

Closes #2539 from adrian-wang/fetchfail and squashes the following commits:

6c1b1e0 [Daoyuan Wang] shuffle fetch fail output
[SPARK-3476] Remove outdated memory checks in Yarn

See description in [JIRA](https://issues.apache.org/jira/browse/SPARK-3476).

Author: Andrew Or <andrewor14@gmail.com>

Closes #2528 from andrewor14/yarn-memory-checks and squashes the following commits:

c5400cd [Andrew Or] Simplify checks
e30ffac [Andrew Or] Remove outdated memory checks
[SPARK-3531][SQL]select null from table would throw a MatchError

Author: Daoyuan Wang <daoyuan.wang@intel.com>

Closes #2396 from adrian-wang/selectnull and squashes the following commits:

2458229 [Daoyuan Wang] rebase solution
[SPARK-3393] [SQL] Align the log4j configuration for Spark & SparkSQLCLI

User may be confused for the HQL logging & configurations, we'd better provide a default templates.

Both files are copied from Hive.

Author: Cheng Hao <hao.cheng@intel.com>

Closes #2263 from chenghao-intel/hive_template and squashes the following commits:

53bffa9 [Cheng Hao] Remove the hive-log4j.properties initialization