[maven-release-plugin] prepare for next development iteration
[SPARK-2696] Reduce default value of spark.serializer.objectStreamReset

The current default value of spark.serializer.objectStreamReset is 10,000.
When trying to re-partition (e.g., to 64 partitions) a large file (e.g., 500MB), containing 1MB records, the serializer will cache 10000 x 1MB x 64 ~= 640 GB which will cause out of memory errors.

This patch sets the default value to a more reasonable default value (100).

Author: Hossein <hossein@databricks.com>

Closes #1595 from falaki/objectStreamReset and squashes the following commits:

650a935 [Hossein] Updated documentation
1aa0df8 [Hossein] Reduce default value of spark.serializer.objectStreamReset

(cherry picked from commit 66f26a4610aede57322cb7e193a50aecb6c57d22)
Signed-off-by: Matei Zaharia <matei@databricks.com>
[SPARK-2580] [PySpark] keep silent in worker if JVM close the socket

During rdd.take(n), JVM will close the socket if it had got enough data, the Python worker should keep silent in this case.

In the same time, the worker should not print the trackback into stderr if it send the traceback to JVM successfully.

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

Closes #1625 from davies/error and squashes the following commits:

4fbcc6d [Davies Liu] disable log4j during testing when exception is expected.
cc14202 [Davies Liu] keep silent in worker if JVM close the socket

(cherry picked from commit ccd5ab5f82812abc2eb518448832cc20fb903345)
Signed-off-by: Josh Rosen <joshrosen@apache.org>
[SPARK-791] [PySpark] fix pickle itemgetter with cloudpickle

fix the problem with pickle operator.itemgetter with multiple index.

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

Closes #1627 from davies/itemgetter and squashes the following commits:

aabd7fa [Davies Liu] fix pickle itemgetter with cloudpickle

(cherry picked from commit 92ef02626e793ea853cced4cbfee316f0b748ed7)
Signed-off-by: Josh Rosen <joshrosen@apache.org>

Conflicts:
	python/pyspark/tests.py
[SPARK-2730][SQL] When retrieving a value from a Map, GetItem evaluates key twice

JIRA: https://issues.apache.org/jira/browse/SPARK-2730

Author: Yin Huai <huai@cse.ohio-state.edu>

Closes #1637 from yhuai/SPARK-2730 and squashes the following commits:

1a9f24e [Yin Huai] Remove unnecessary key evaluation.

(cherry picked from commit e3643485de8fdaf5c52b266fead1b13214f29d5e)
Signed-off-by: Michael Armbrust <michael@databricks.com>
Docs: monitoring, streaming programming guide

Fix several awkward wordings and grammatical issues in the following
documents:

*   docs/monitoring.md

*   docs/streaming-programming-guide.md

Author: kballou <kballou@devnulllabs.io>

Closes #1662 from kennyballou/grammar_fixes and squashes the following commits:

e1b8ad6 [kballou] Docs: monitoring, streaming programming guide

(cherry picked from commit cc820502fb08f71b03237103153c34487b2600b4)
Signed-off-by: Josh Rosen <joshrosen@apache.org>
[SPARK-2379] Fix the bug that streaming's receiver may fall into a dead loop

Author: joyyoj <sunshch@gmail.com>

Closes #1694 from joyyoj/SPARK-2379 and squashes the following commits:

d73790d [joyyoj] SPARK-2379 Fix the bug that streaming's receiver may fall into a dead loop
22e7821 [joyyoj] Merge remote-tracking branch 'apache/master'
3f4a602 [joyyoj] Merge remote-tracking branch 'remotes/apache/master'
f4660c5 [joyyoj] [SPARK-1998] SparkFlumeEvent with body bigger than 1020 bytes are not read properly

(cherry picked from commit b270309d7608fb749e402cd5afd36087446be398)
Signed-off-by: Tathagata Das <tathagata.das1565@gmail.com>
Fix some bugs with spaces in directory name.

Any time you use the directory name (`FWDIR`) it needs to be surrounded
in quotes. If you're also using wildcards, you can safely put the quotes
around just `$FWDIR`.

Author: Sarah Gerweck <sarah.a180@gmail.com>

Closes #1756 from sarahgerweck/folderSpaces and squashes the following commits:

732629d [Sarah Gerweck] Fix some bugs with spaces in directory name.
(cherry picked from commit 5507dd8e18fbb52d5e0c64a767103b2418cb09c6)

Conflicts:

	make-distribution.sh
Updating version for Spark 1.0.3 development.
[SPARK-2323] Exception in accumulator update should not crash DAGScheduler & SparkContext

Author: Reynold Xin <rxin@apache.org>

Closes #1772 from rxin/accumulator-dagscheduler and squashes the following commits:

6a58520 [Reynold Xin] [SPARK-2323] Exception in accumulator update should not crash DAGScheduler & SparkContext.

(cherry picked from commit 05bf4e4aff0d052a53d3e64c43688f07e27fec50)
Signed-off-by: Reynold Xin <rxin@apache.org>
[SPARK-2859] Update url of Kryo project in related docs

JIRA Issue: https://issues.apache.org/jira/browse/SPARK-2859

Kryo project has been migrated from googlecode to github, hence we need to update its URL in related docs such as tuning.md.

Author: Guancheng (G.C.) Chen <chenguancheng@gmail.com>

Closes #1782 from gchen/kryo-docs and squashes the following commits:

b62543c [Guancheng (G.C.) Chen] update url of Kryo project
(cherry picked from commit ac3440f4f3c4b79070ffec7db0b08ad062b4df90)

Signed-off-by: Patrick Wendell <pwendell@gmail.com>
SPARK-2869 - Fix tiny bug in JdbcRdd for closing jdbc connection

I inquired on  dev mailing list about the motivation for checking the jdbc statement instead of the connection in the close() logic of JdbcRDD. Ted Yu believes there essentially is none-  it is a simple cut and paste issue. So here is the tiny fix to patch it.

Author: Stephen Boesch <javadba>
Author: Stephen Boesch <javadba@gmail.com>

Closes #1792 from javadba/closejdbc and squashes the following commits:

363be4f [Stephen Boesch] SPARK-2869 - Fix tiny bug in JdbcRdd for closing jdbc connection (reformat with braces)
6518d36 [Stephen Boesch] SPARK-2689 Fix tiny bug in JdbcRdd for closing jdbc connection
3fb23ed [Stephen Boesch] SPARK-2689 Fix potential leak of connection/PreparedStatement in case of error in JdbcRDD
095b2c9 [Stephen Boesch] Fix tiny bug (likely copy and paste error) in closing jdbc connection

(cherry picked from commit 2643e66008cc04074454bb98613c53ba3300e428)
Signed-off-by: Reynold Xin <rxin@apache.org>
[SPARK-2678][Core] Backport PR #1801 to branch-1.0

Backport  SPARK-2678 fix in PR #1801 to branch-1.0

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

Closes #1831 from liancheng/spark-2678-for-1.0 and squashes the following commits:

cc59929 [Cheng Lian] Backported SPARK-2678 fix
[SPARK-2897][SPARK-2920]TorrentBroadcast does use the serializer class specified in the spark option "spark.serializer"

Author: GuoQiang Li <witgo@qq.com>

Closes #1836 from witgo/SPARK-2897 and squashes the following commits:

23cdc5b [GuoQiang Li] review commit
ada4fba [GuoQiang Li] TorrentBroadcast does not support broadcast compression
fb91792 [GuoQiang Li] org.apache.spark.broadcast.TorrentBroadcast does use the serializer class specified in the spark option "spark.serializer"

(cherry picked from commit ec79063fad44751a6689f5e58d47886babeaecff)
Signed-off-by: Reynold Xin <rxin@apache.org>
replace println to log4j

Our program needs to receive a large amount of data and run for a long
time.
We set the log level to WARN but "Storing iterator" "received single"
as such message written to the log file. (over yarn)

Author: fireflyc <fireflyc@126.com>

Closes #1372 from fireflyc/fix-replace-stdout-log and squashes the following commits:

e684140 [fireflyc] 'info' modified into the 'debug'
fa22a38 [fireflyc] replace println to log4j
SPARK-2893: Do not swallow Exceptions when running a custom kryo registrator

The previous behaviour of swallowing ClassNotFound exceptions when running a custom Kryo registrator could lead to difficult to debug problems later on at serialisation / deserialisation time, see SPARK-2878.  Instead it is better to fail fast.

Added test case.

Author: Graham Dennis <graham.dennis@gmail.com>

Closes #1827 from GrahamDennis/feature/spark-2893 and squashes the following commits:

fbe4cb6 [Graham Dennis] [SPARK-2878]: Update the test case to match the updated exception message
65e53c5 [Graham Dennis] [SPARK-2893]: Improve message when a spark.kryo.registrator fails.
f480d85 [Graham Dennis] [SPARK-2893] Fix typo.
b59d2c2 [Graham Dennis] SPARK-2893: Do not swallow Exceptions when running a custom spark.kryo.registrator

(cherry picked from commit 6b8de0e36c7548046c3b8a57f2c8e7e788dde8cc)
Signed-off-by: Reynold Xin <rxin@apache.org>
SPARK-3009: Reverted readObject method in ApplicationInfo so that Applic...

...ationInfo is initialized properly after deserialization

Author: Jacek Lewandowski <lewandowski.jacek@gmail.com>

Closes #1922 from jacek-lewandowski/branch-1.0 and squashes the following commits:

13c1fb3 [Jacek Lewandowski] SPARK-3009: Reverted readObject method in ApplicationInfo so that ApplicationInfo is initialized properly after deserialization
SPARK-2884: Create binary builds in parallel with release script.

Conflicts:

	dev/create-release/create-release.sh
[SPARK-3150] Fix NullPointerException in in Spark recovery: Add initializing default values in DriverInfo.init()

The issue happens when Spark is run standalone on a cluster.
When master and driver fall simultaneously on one node in a cluster, master tries to recover its state and restart spark driver.
While restarting driver, it falls with NPE exception (stacktrace is below).
After falling, it restarts and tries to recover its state and restart Spark driver again. It happens over and over in an infinite cycle.
Namely, Spark tries to read DriverInfo state from zookeeper, but after reading it happens to be null in DriverInfo.worker.

https://issues.apache.org/jira/browse/SPARK-3150

Author: Tatiana Borisova <tanyatik@yandex.ru>

Closes #2062 from tanyatik/spark-3150 and squashes the following commits:

9936043 [Tatiana Borisova] Add initializing default values in DriverInfo.init()

(cherry picked from commit 70d814665baa8b8ca868d3126452105ecfa5cbff)
Signed-off-by: Josh Rosen <joshrosen@apache.org>
[SPARK-3190] Avoid overflow in VertexRDD.count()

VertexRDDs with more than 4 billion elements are counted incorrectly due to integer overflow when summing partition sizes. This PR fixes the issue by converting partition sizes to Longs before summing them.

The following code previously returned -10000000. After applying this PR, it returns the correct answer of 5000000000 (5 billion).

```scala
val pairs = sc.parallelize(0L until 500L).map(_ * 10000000)
  .flatMap(start => start until (start + 10000000)).map(x => (x, x))
VertexRDD(pairs).count()
```

Author: Ankur Dave <ankurdave@gmail.com>

Closes #2106 from ankurdave/SPARK-3190 and squashes the following commits:

641f468 [Ankur Dave] Avoid overflow in VertexRDD.count()

(cherry picked from commit 96df92906978c5f58e0cc8ff5eebe5b35a08be3b)
Signed-off-by: Josh Rosen <joshrosen@apache.org>