GitHub user berngp reopened a pull request:
https://github.com/apache/spark/pull/84
[SPARK-1186] : Enrich the Spark Shell to support additional arguments.
Enrich the Spark Shell functionality to support the following options.
```
Usage: spark-shell [OPTIONS]
OPTIONS:
basic:
-h --help : print this help information.
-c --executor-cores : the maximum number of cores to be used by the
spark shell.
-em --executor-memory : num[m|g], the memory used by each executor of
spark shell.
-dm --driver-memory : num[m|g], the memory used by the spark shell
and driver.
soon to be deprecated:
--cores : please use -c/--executor-cores
--drivermem : please use -dm/--driver-memory
other options:
-mip --master-ip : Spark Master IP/Host Address
-mp --master-port : num, Spark Master Port
-m --master : full string that describes the Spark Master.
-ld --local-dir : absolute path to a local directory that will be
use for "scratch" space in Spark.
-dh --driver-host : hostname or IP address for the driver to listen
on.
-dp --driver-port : num, port for the driver to listen on.
-uip --ui-port : num, port for your application's dashboard,
which shows memory and workload data.
--parallelism : num, default number of tasks to use across the
cluster for distributed shuffle operations when not set by user.
--locality-wait : num, number of milliseconds to wait to launch a
data-local task before giving up.
--schedule-fair : flag, enables FAIR scheduling between jobs
submitted to the same SparkContext.
--max-failures : num, number of individual task failures before
giving up on the job.
--log-conf : flag, log the supplied SparkConf as INFO at
start of spark context.
e.g.
spark-shell -m 127.0.0.1 -ld /tmp -dh 127.0.0.1 -dp 4001 -uip 4010
--parallelism 10 --locality-wait 500 --schedule-fair --max-failures 100
```
[ticket: SPARK-1186] : Enrich the Spark Shell to support additional
arguments.
https://spark-project.atlassian.net/browse/SPARK-1186
Author : [email protected]
Reviewer : ?
Testing : ?
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/berngp/spark feature/enrich-spark-shell
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/84.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #84
----
commit 51ca7bd7038dd5f66327d5b15692a1ccaab42129
Author: liguoqiang <[email protected]>
Date: 2014-03-06T00:38:43Z
Improve building with maven docs
mvn -Dhadoop.version=... -Dsuites=spark.repl.ReplSuite test
to
mvn -Dhadoop.version=... -Dsuites=org.apache.spark.repl.ReplSuite test
Author: liguoqiang <[email protected]>
Closes #70 from witgo/building_with_maven and squashes the following
commits:
6ec8a54 [liguoqiang] spark.repl.ReplSuite to org.apache.spark.repl.ReplSuite
commit cda381f88cc03340fdf7b2d681699babbae2a56e
Author: Mark Grover <[email protected]>
Date: 2014-03-06T00:52:58Z
SPARK-1184: Update the distribution tar.gz to include spark-assembly jar
See JIRA for details.
Author: Mark Grover <[email protected]>
Closes #78 from markgrover/SPARK-1184 and squashes the following commits:
12b78e6 [Mark Grover] SPARK-1184: Update the distribution tar.gz to include
spark-assembly jar
commit 3eb009f362993dbe43028419c2d48011111a200d
Author: CodingCat <[email protected]>
Date: 2014-03-06T05:47:34Z
SPARK-1156: allow user to login into a cluster without slaves
Reported in https://spark-project.atlassian.net/browse/SPARK-1156
The current spark-ec2 script doesn't allow user to login to a cluster
without slaves. One of the issues brought by this behaviour is that when all
the worker died, the user cannot even login to the cluster for debugging, etc.
Author: CodingCat <[email protected]>
Closes #58 from CodingCat/SPARK-1156 and squashes the following commits:
104af07 [CodingCat] output ERROR to stderr
9a71769 [CodingCat] do not allow user to start 0-slave cluster
24a7c79 [CodingCat] allow user to login into a cluster without slaves
commit 3d3acef0474b6dc21f1b470ea96079a491e58b75
Author: Prabin Banka <[email protected]>
Date: 2014-03-06T20:45:27Z
SPARK-1187, Added missing Python APIs
The following Python APIs are added,
RDD.id()
SparkContext.setJobGroup()
SparkContext.setLocalProperty()
SparkContext.getLocalProperty()
SparkContext.sparkUser()
was raised earlier as a part of apache/incubator-spark#486
Author: Prabin Banka <[email protected]>
Closes #75 from prabinb/python-api-backup and squashes the following
commits:
cc3c6cd [Prabin Banka] Added missing Python APIs
commit 40566e10aae4b21ffc71ea72702b8df118ac5c8e
Author: Kyle Ellrott <[email protected]>
Date: 2014-03-06T22:51:00Z
SPARK-942: Do not materialize partitions when DISK_ONLY storage level is
used
This is a port of a pull request original targeted at incubator-spark:
https://github.com/apache/incubator-spark/pull/180
Essentially if a user returns a generative iterator (from a flatMap
operation), when trying to persist the data, Spark would first unroll the
iterator into an ArrayBuffer, and then try to figure out if it could store the
data. In cases where the user provided an iterator that generated more data
then available memory, this would case a crash. With this patch, if the user
requests a persist with a 'StorageLevel.DISK_ONLY', the iterator will be
unrolled as it is inputed into the serializer.
To do this, two changes where made:
1) The type of the 'values' argument in the putValues method of the
BlockStore interface was changed from ArrayBuffer to Iterator (and all code
interfacing with this method was modified to connect correctly.
2) The JavaSerializer now calls the ObjectOutputStream 'reset' method every
1000 objects. This was done because the ObjectOutputStream caches objects (thus
preventing them from being GC'd) to write more compact serialization. If reset
is never called, eventually the memory fills up, if it is called too often then
the serialization streams become much larger because of redundant class
descriptions.
Author: Kyle Ellrott <[email protected]>
Closes #50 from kellrott/iterator-to-disk and squashes the following
commits:
9ef7cb8 [Kyle Ellrott] Fixing formatting issues.
60e0c57 [Kyle Ellrott] Fixing issues (formatting, variable names, etc.)
from review comments
8aa31cd [Kyle Ellrott] Merge ../incubator-spark into iterator-to-disk
33ac390 [Kyle Ellrott] Merge branch 'iterator-to-disk' of
github.com:kellrott/incubator-spark into iterator-to-disk
2f684ea [Kyle Ellrott] Refactoring the BlockManager to replace the
Either[Either[A,B]] usage. Now using trait 'Values'. Also modified
BlockStore.putBytes call to return PutResult, so that it behaves like putValues.
f70d069 [Kyle Ellrott] Adding docs for spark.serializer.objectStreamReset
configuration
7ccc74b [Kyle Ellrott] Moving the 'LargeIteratorSuite' to simply test
persistance of iterators. It doesn't try to invoke a OOM error any more
16a4cea [Kyle Ellrott] Streamlined the LargeIteratorSuite unit test. It
should now run in ~25 seconds. Confirmed that it still crashes an unpatched
copy of Spark.
c2fb430 [Kyle Ellrott] Removing more un-needed array-buffer to iterator
conversions
627a8b7 [Kyle Ellrott] Wrapping a few long lines
0f28ec7 [Kyle Ellrott] Adding second putValues to BlockStore interface that
accepts an ArrayBuffer (rather then an Iterator). This will allow BlockStores
to have slightly different behaviors dependent on whether they get an Iterator
or ArrayBuffer. In the case of the MemoryStore, it needs to duplicate and cache
an Iterator into an ArrayBuffer, but if handed a ArrayBuffer, it can skip the
duplication.
656c33e [Kyle Ellrott] Fixing the JavaSerializer to read from the SparkConf
rather then the System property.
8644ee8 [Kyle Ellrott] Merge branch 'master' into iterator-to-disk
00c98e0 [Kyle Ellrott] Making the Java ObjectStreamSerializer reset rate
configurable by the system variable 'spark.serializer.objectStreamReset',
default is not 10000.
40fe1d7 [Kyle Ellrott] Removing rouge space
31fe08e [Kyle Ellrott] Removing un-needed semi-colons
9df0276 [Kyle Ellrott] Added check to make sure that streamed-to-dist RDD
actually returns good data in the LargeIteratorSuite
a6424ba [Kyle Ellrott] Wrapping long line
2eeda75 [Kyle Ellrott] Fixing dumb mistake ("||" instead of "&&")
0e6f808 [Kyle Ellrott] Deleting temp output directory when done
95c7f67 [Kyle Ellrott] Simplifying StorageLevel checks
56f71cd [Kyle Ellrott] Merge branch 'master' into iterator-to-disk
44ec35a [Kyle Ellrott] Adding some comments.
5eb2b7e [Kyle Ellrott] Changing the JavaSerializer reset to occur every
1000 objects.
f403826 [Kyle Ellrott] Merge branch 'master' into iterator-to-disk
81d670c [Kyle Ellrott] Adding unit test for straight to disk iterator
methods.
d32992f [Kyle Ellrott] Merge remote-tracking branch 'origin/master' into
iterator-to-disk
cac1fad [Kyle Ellrott] Fixing MemoryStore, so that it converts incoming
iterators to ArrayBuffer objects. This was previously done higher up the stack.
efe1102 [Kyle Ellrott] Changing CacheManager and BlockManager to pass
iterators directly to the serializer when a 'DISK_ONLY' persist is called. This
is in response to SPARK-942.
commit 7edbea41b43e0dc11a2de156be220db8b7952d01
Author: Thomas Graves <[email protected]>
Date: 2014-03-07T00:27:50Z
SPARK-1189: Add Security to Spark - Akka, Http, ConnectionManager, UI use
servlets
resubmit pull request. was
https://github.com/apache/incubator-spark/pull/332.
Author: Thomas Graves <[email protected]>
Closes #33 from tgravescs/security-branch-0.9-with-client-rebase and
squashes the following commits:
dfe3918 [Thomas Graves] Fix merge conflict since startUserClass now using
runAsUser
05eebed [Thomas Graves] Fix dependency lost in upmerge
d1040ec [Thomas Graves] Fix up various imports
05ff5e0 [Thomas Graves] Fix up imports after upmerging to master
ac046b3 [Thomas Graves] Merge remote-tracking branch 'upstream/master' into
security-branch-0.9-with-client-rebase
13733e1 [Thomas Graves] Pass securityManager and SparkConf around where we
can. Switch to use sparkConf for reading config whereever possible. Added
ConnectionManagerSuite unit tests.
4a57acc [Thomas Graves] Change UI createHandler routines to createServlet
since they now return servlets
2f77147 [Thomas Graves] Rework from comments
50dd9f2 [Thomas Graves] fix header in SecurityManager
ecbfb65 [Thomas Graves] Fix spacing and formatting
b514bec [Thomas Graves] Fix reference to config
ed3d1c1 [Thomas Graves] Add security.md
6f7ddf3 [Thomas Graves] Convert SaslClient and SaslServer to scala, change
spark.authenticate.ui to spark.ui.acls.enable, and fix up various other things
from review comments
2d9e23e [Thomas Graves] Merge remote-tracking branch 'upstream/master' into
security-branch-0.9-with-client-rebase_rework
5721c5a [Thomas Graves] update AkkaUtilsSuite test for the actorSelection
changes, fix typos based on comments, and remove extra lines I missed in rebase
from AkkaUtils
f351763 [Thomas Graves] Add Security to Spark - Akka, Http,
ConnectionManager, UI to use servlets
commit 328c73d037c17440c2a91a6c88b4258fbefa0c08
Author: Sandy Ryza <[email protected]>
Date: 2014-03-07T01:12:58Z
SPARK-1197. Change yarn-standalone to yarn-cluster and fix up running on
YARN docs
This patch changes "yarn-standalone" to "yarn-cluster" (but still supports
the former). It also cleans up the Running on YARN docs and adds a section on
how to view logs.
Author: Sandy Ryza <[email protected]>
Closes #95 from sryza/sandy-spark-1197 and squashes the following commits:
563ef3a [Sandy Ryza] Review feedback
6ad06d4 [Sandy Ryza] Change yarn-standalone to yarn-cluster and fix up
running on YARN docs
commit 9ae919c02f7b7d069215e8dc6cafef0ec79c9d5f
Author: anitatailor <[email protected]>
Date: 2014-03-07T01:46:43Z
Example for cassandra CQL read/write from spark
Cassandra read/write using CqlPagingInputFormat/CqlOutputFormat
Author: anitatailor <[email protected]>
Closes #87 from anitatailor/master and squashes the following commits:
3493f81 [anitatailor] Fixed scala style as per review
19480b7 [anitatailor] Example for cassandra CQL read/write from spark
commit 33baf14b04bcb5cb8dc39ae0773b9e0ef79ef9cf
Author: Patrick Wendell <[email protected]>
Date: 2014-03-07T01:57:31Z
Small clean-up to flatmap tests
commit dabeb6f160f7ad7df1c54b1b8b069700dd4b74dd
Author: Aaron Davidson <[email protected]>
Date: 2014-03-07T18:22:27Z
SPARK-1136: Fix FaultToleranceTest for Docker 0.8.1
This patch allows the FaultToleranceTest to work in newer versions of
Docker.
See https://spark-project.atlassian.net/browse/SPARK-1136 for more details.
Besides changing the Docker and FaultToleranceTest internals, this patch
also changes the behavior of Master to accept new Workers which share an
address with a Worker that we are currently trying to recover. This can only
happen when the Worker itself was restarted and got the same IP address/port at
the same time as a Master recovery occurs.
Finally, this adds a good bit of ASCII art to the test to make failures,
successes, and actions more apparent. This is very much needed.
Author: Aaron Davidson <[email protected]>
Closes #5 from aarondav/zookeeper and squashes the following commits:
5d7a72a [Aaron Davidson] SPARK-1136: Fix FaultToleranceTest for Docker 0.8.1
commit b7cd9e992cbc2e649534a2cdf9b8bde2c1ee26bd
Author: Thomas Graves <[email protected]>
Date: 2014-03-07T18:36:55Z
SPARK-1195: set map_input_file environment variable in PipedRDD
Hadoop uses the config mapreduce.map.input.file to indicate the input
filename to the map when the input split is of type FileSplit. Some of the
hadoop input and output formats set or use this config. This config can also be
used by user code.
PipedRDD runs an external process and the configs aren't available to that
process. Hadoop Streaming does something very similar and the way they make
configs available is exporting them into the environment replacing '.' with
'_'. Spark should also export this variable when launching the pipe command so
the user code has access to that config.
Note that the config mapreduce.map.input.file is the new one, the old one
which is deprecated but not yet removed is map.input.file. So we should handle
both.
Perhaps it would be better to abstract this out somehow so it goes into the
HadoopParition code?
Author: Thomas Graves <[email protected]>
Closes #94 from tgravescs/map_input_file and squashes the following commits:
cc97a6a [Thomas Graves] Update test to check for existence of command, add
a getPipeEnvVars function to HadoopRDD
e3401dc [Thomas Graves] Merge remote-tracking branch 'upstream/master' into
map_input_file
2ba805e [Thomas Graves] set map_input_file environment variable in PipedRDD
commit 6e730edcde7ca6cbb5727dff7a42f7284b368528
Author: Prashant Sharma <[email protected]>
Date: 2014-03-08T02:48:07Z
Spark 1165 rdd.intersection in python and java
Author: Prashant Sharma <[email protected]>
Author: Prashant Sharma <[email protected]>
Closes #80 from ScrapCodes/SPARK-1165/RDD.intersection and squashes the
following commits:
9b015e9 [Prashant Sharma] Added a note, shuffle is required for
intersection.
1fea813 [Prashant Sharma] correct the lines wrapping
d0c71f3 [Prashant Sharma] SPARK-1165 RDD.intersection in java
d6effee [Prashant Sharma] SPARK-1165 Implemented RDD.intersection in python.
commit a99fb3747a0bc9498cb1d19ae5b5bb0163e6f52b
Author: Sandy Ryza <[email protected]>
Date: 2014-03-08T07:10:35Z
SPARK-1193. Fix indentation in pom.xmls
Author: Sandy Ryza <[email protected]>
Closes #91 from sryza/sandy-spark-1193 and squashes the following commits:
a878124 [Sandy Ryza] SPARK-1193. Fix indentation in pom.xmls
commit 8ad486add941c9686dfb39309adaf5b7ca66345d
Author: Reynold Xin <[email protected]>
Date: 2014-03-08T07:23:59Z
Allow sbt to use more than 1G of heap.
There was a mistake in sbt build file ( introduced by
012bd5fbc97dc40bb61e0e2b9cc97ed0083f37f6 ) in which we set the default to 2048
and the immediately reset it to 1024.
Without this, building Spark can run out of permgen space on my machine.
Author: Reynold Xin <[email protected]>
Closes #103 from rxin/sbt and squashes the following commits:
8829c34 [Reynold Xin] Allow sbt to use more than 1G of heap.
commit 0b7b7fd45cd9037d23cb090e62be3ff075214fe7
Author: Cheng Lian <[email protected]>
Date: 2014-03-08T07:26:46Z
[SPARK-1194] Fix the same-RDD rule for cache replacement
SPARK-1194: https://spark-project.atlassian.net/browse/SPARK-1194
In the current implementation, when selecting candidate blocks to be
swapped out, once we find a block from the same RDD that the block to be stored
belongs to, cache eviction fails and aborts.
In this PR, we keep selecting blocks *not* from the RDD that the block to
be stored belongs to until either enough free space can be ensured (cache
eviction succeeds) or all such blocks are checked (cache eviction fails).
Author: Cheng Lian <[email protected]>
Closes #96 from liancheng/fix-spark-1194 and squashes the following commits:
2524ab9 [Cheng Lian] Added regression test case for SPARK-1194
6e40c22 [Cheng Lian] Remove redundant comments
40cdcb2 [Cheng Lian] Bug fix, and addressed PR comments from @mridulm
62c92ac [Cheng Lian] Fixed SPARK-1194
https://spark-project.atlassian.net/browse/SPARK-1194
commit c2834ec081df392ca501a75b5af06efaa5448509
Author: Reynold Xin <[email protected]>
Date: 2014-03-08T20:40:26Z
Update junitxml plugin to the latest version to avoid recompilation in
every SBT command.
Author: Reynold Xin <[email protected]>
Closes #104 from rxin/junitxml and squashes the following commits:
67ef7bf [Reynold Xin] Update junitxml plugin to the latest version to avoid
recompilation in every SBT command.
commit e59a3b6c415b95e8137f5a154716b12653a8aed0
Author: Patrick Wendell <[email protected]>
Date: 2014-03-09T00:02:42Z
SPARK-1190: Do not initialize log4j if slf4j log4j backend is not being used
Author: Patrick Wendell <[email protected]>
Closes #107 from pwendell/logging and squashes the following commits:
be21c11 [Patrick Wendell] Logging fix
commit 52834d761b059264214dfc6a1f9c70b8bc7ec089
Author: Aaron Davidson <[email protected]>
Date: 2014-03-09T18:08:39Z
SPARK-929: Fully deprecate usage of SPARK_MEM
(Continued from old repo, prior discussion at
https://github.com/apache/incubator-spark/pull/615)
This patch cements our deprecation of the SPARK_MEM environment variable by
replacing it with three more specialized variables:
SPARK_DAEMON_MEMORY, SPARK_EXECUTOR_MEMORY, and SPARK_DRIVER_MEMORY
The creation of the latter two variables means that we can safely set
driver/job memory without accidentally setting the executor memory. Neither is
public.
SPARK_EXECUTOR_MEMORY is only used by the Mesos scheduler (and set within
SparkContext). The proper way of configuring executor memory is through the
"spark.executor.memory" property.
SPARK_DRIVER_MEMORY is the new way of specifying the amount of memory run
by jobs launched by spark-class, without possibly affecting executor memory.
Other memory considerations:
- The repl's memory can be set through the "--drivermem" command-line
option, which really just sets SPARK_DRIVER_MEMORY.
- run-example doesn't use spark-class, so the only way to modify examples'
memory is actually an unusual use of SPARK_JAVA_OPTS (which is normally
overriden in all cases by spark-class).
This patch also fixes a lurking bug where spark-shell misused spark-class
(the first argument is supposed to be the main class name, not java options),
as well as a bug in the Windows spark-class2.cmd. I have not yet tested this
patch on either Windows or Mesos, however.
Author: Aaron Davidson <[email protected]>
Closes #99 from aarondav/sparkmem and squashes the following commits:
9df4c68 [Aaron Davidson] SPARK-929: Fully deprecate usage of SPARK_MEM
commit f6f9d02e85d17da2f742ed0062f1648a9293e73c
Author: Jiacheng Guo <[email protected]>
Date: 2014-03-09T18:37:44Z
Add timeout for fetch file
Currently, when fetch a file, the connection's connect timeout
and read timeout is based on the default jvm setting, in this change, I
change it to
use spark.worker.timeout. This can be usefull, when the
connection status between worker is not perfect. And prevent
prematurely remove task set.
Author: Jiacheng Guo <[email protected]>
Closes #98 from guojc/master and squashes the following commits:
abfe698 [Jiacheng Guo] add space according request
2a37c34 [Jiacheng Guo] Add timeout for fetch file Currently, when fetch
a file, the connection's connect timeout and read timeout is based on the
default jvm setting, in this change, I change it to use
spark.worker.timeout. This can be usefull, when the connection status
between worker is not perfect. And prevent prematurely remove task set.
commit faf4cad1debb76148facc008e0a3308ac96eee7a
Author: Patrick Wendell <[email protected]>
Date: 2014-03-09T18:57:06Z
Fix markup errors introduced in #33 (SPARK-1189)
These were causing errors on the configuration page.
Author: Patrick Wendell <[email protected]>
Closes #111 from pwendell/master and squashes the following commits:
8467a86 [Patrick Wendell] Fix markup errors introduced in #33 (SPARK-1189)
commit b9be160951b9e7a7e801009e9d6ee6c2b5d2d47e
Author: Patrick Wendell <[email protected]>
Date: 2014-03-09T20:17:07Z
SPARK-782 Clean up for ASM dependency.
This makes two changes.
1) Spark uses the shaded version of asm that is (conveniently) published
with Kryo.
2) Existing exclude rules around asm are updated to reflect the new groupId
of `org.ow2.asm`. This made all of the old rules not work with newer
Hadoop
versions that pull in new asm versions.
Author: Patrick Wendell <[email protected]>
Closes #100 from pwendell/asm and squashes the following commits:
9235f3f [Patrick Wendell] SPARK-782 Clean up for ASM dependency.
commit 5d98cfc1c8fb17fbbeacc7192ac21c0b038cbd16
Author: Chen Chao <[email protected]>
Date: 2014-03-10T05:42:12Z
maintain arbitrary state data for each key
RT
Author: Chen Chao <[email protected]>
Closes #114 from CrazyJvm/patch-1 and squashes the following commits:
dcb0df5 [Chen Chao] maintain arbitrary state data for each key
commit 32ad3484ad7a7cc6a0e903f80b6dd3579550e1f9
Author: Bernardo Gomez Palacio <[email protected]>
Date: 2014-03-10T17:41:30Z
[SPARK-1186] : Enrich the Spark Shell to support additional arguments.
Enrich the Spark Shell functionality to support the following options.
```
Usage: spark-shell [OPTIONS]
OPTIONS:
basic:
-h --help : print this help information.
-c --executor-cores : the maximum number of cores to be used by the
spark shell.
-em --executor-memory : num[m|g], the memory used by each executor of
spark shell.
-dm --drivermem --driver-memory : num[m|g], the memory used by the
spark shell and driver.
soon to be deprecated:
--cores : please use -c/--executor-cores
other options:
-mip --master-ip : Spark Master IP/Host Address
-mp --master-port : num, Spark Master Port
-m --master : full string that describes the Spark Master.
-ld --local-dir : absolute path to a local directory that will be
use for "scratch" space in Spark.
-dh --driver-host : hostname or IP address for the driver to listen
on.
-dp --driver-port : num, port for the driver to listen on.
-uip --ui-port : num, port for your application's dashboard,
which shows memory and workload data.
--parallelism : num, default number of tasks to use across the
cluster for distributed shuffle operations when not set by user.
--locality-wait : num, number of milliseconds to wait to launch a
data-local task before giving up.
--schedule-fair : flag, enables FAIR scheduling between jobs
submitted to the same SparkContext.
--max-failures : num, number of individual task failures before
giving up on the job.
--log-conf : flag, log the supplied SparkConf as INFO at
start of spark context.
e.g.
spark-shell -m local -ld /tmp -dh 127.0.0.1 -dp 4001 -uip 4010
--parallelism 10 --locality-wait 500 --schedule-fair --max-failures 100
```
**Note**: this commit reflects the changes applied to _master_ based on
[5d98cfc1].
[ticket: SPARK-1186] : Enrich the Spark Shell to support additional
arguments.
https://spark-project.atlassian.net/browse/SPARK-1186
Author : [email protected]
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