Switch from MUTF8 to UTF8 in PySpark serializers.

This fixes SPARK-1043, a bug introduced in 0.9.0
where PySpark couldn't serialize strings > 64kB.

This fix was written by @tyro89 and @bouk in #512.
This commit squashes and rebases their pull request
in order to fix some merge conflicts.
Merge pull request #523 from JoshRosen/SPARK-1043

Switch from MUTF8 to UTF8 in PySpark serializers.

This fixes SPARK-1043, a bug introduced in 0.9.0 where PySpark couldn't serialize strings > 64kB.

This fix was written by @tyro89 and @bouk in #512. This commit squashes and rebases their pull request in order to fix some merge conflicts.
Merge pull request #497 from tdas/docs-update

Updated Spark Streaming Programming Guide

Here is the updated version of the Spark Streaming Programming Guide. This is still a work in progress, but the major changes are in place. So feedback is most welcome.

In general, I have tried to make the guide to easier to understand even if the reader does not know much about Spark. The updated website is hosted here -

http://www.eecs.berkeley.edu/~tdas/spark_docs/streaming-programming-guide.html

The major changes are:
- Overview illustrates the usecases of Spark Streaming - various input sources and various output sources
- An example right after overview to quickly give an idea of what Spark Streaming program looks like
- Made Java API and examples a first class citizen like Scala by using tabs to show both Scala and Java examples (similar to AMPCamp tutorial's code tabs)
- Highlighted the DStream operations updateStateByKey and transform because of their powerful nature
- Updated driver node failure recovery text to highlight automatic recovery in Spark standalone mode
- Added information about linking and using the external input sources like Kafka and Flume
- In general, reorganized the sections to better show the Basic section and the more advanced sections like Tuning and Recovery.

Todos:
- Links to the docs of external Kafka, Flume, etc
- Illustrate window operation with figure as well as example.

Author: Tathagata Das <tathagata.das1565@gmail.com>

== Merge branch commits ==

commit 18ff10556570b39d672beeb0a32075215cfcc944
Author: Tathagata Das <tathagata.das1565@gmail.com>
Date:   Tue Jan 28 21:49:30 2014 -0800

    Fixed a lot of broken links.

commit 34a5a6008dac2e107624c7ff0db0824ee5bae45f
Author: Tathagata Das <tathagata.das1565@gmail.com>
Date:   Tue Jan 28 18:02:28 2014 -0800

    Updated github url to use SPARK_GITHUB_URL variable.

commit f338a60ae8069e0a382d2cb170227e5757cc0b7a
Author: Tathagata Das <tathagata.das1565@gmail.com>
Date:   Mon Jan 27 22:42:42 2014 -0800

    More updates based on Patrick and Harvey's comments.

commit 89a81ff25726bf6d26163e0dd938290a79582c0f
Author: Tathagata Das <tathagata.das1565@gmail.com>
Date:   Mon Jan 27 13:08:34 2014 -0800

    Updated docs based on Patricks PR comments.

commit d5b6196b532b5746e019b959a79ea0cc013a8fc3
Author: Tathagata Das <tathagata.das1565@gmail.com>
Date:   Sun Jan 26 20:15:58 2014 -0800

    Added spark.streaming.unpersist config and info on StreamingListener interface.

commit e3dcb46ab83d7071f611d9b5008ba6bc16c9f951
Author: Tathagata Das <tathagata.das1565@gmail.com>
Date:   Sun Jan 26 18:41:12 2014 -0800

    Fixed docs on StreamingContext.getOrCreate.

commit 6c29524639463f11eec721e4d17a9d7159f2944b
Author: Tathagata Das <tathagata.das1565@gmail.com>
Date:   Thu Jan 23 18:49:39 2014 -0800

    Added example and figure for window operations, and links to Kafka and Flume API docs.

commit f06b964a51bb3b21cde2ff8bdea7d9785f6ce3a9
Author: Tathagata Das <tathagata.das1565@gmail.com>
Date:   Wed Jan 22 22:49:12 2014 -0800

    Fixed missing endhighlight tag in the MLlib guide.

commit 036a7d46187ea3f2a0fb8349ef78f10d6c0b43a9
Merge: eab351d a1cd185
Author: Tathagata Das <tathagata.das1565@gmail.com>
Date:   Wed Jan 22 22:17:42 2014 -0800

    Merge remote-tracking branch 'apache/master' into docs-update

commit eab351d05c0baef1d4b549e1581310087158d78d
Author: Tathagata Das <tathagata.das1565@gmail.com>
Date:   Wed Jan 22 22:17:15 2014 -0800

    Update Spark Streaming Programming Guide.
Merge pull request #494 from tyro89/worker_registration_issue

Issue with failed worker registrations

I've been going through the spark source after having some odd issues with workers dying and not coming back. After some digging (I'm very new to scala and spark) I believe I've found a worker registration issue. It looks to me like a failed registration follows the same code path as a successful registration which end up with workers believing they are connected (since they received a `RegisteredWorker` event) even tho they are not registered on the Master.

This is a quick fix that I hope addresses this issue (assuming I didn't completely miss-read the code and I'm about to look like a silly person :P)

I'm opening this pr now to start a chat with you guys while I do some more testing on my side :)

Author: Erik Selin <erik.selin@jadedpixel.com>

== Merge branch commits ==

commit 973012f8a2dcf1ac1e68a69a2086a1b9a50f401b
Author: Erik Selin <erik.selin@jadedpixel.com>
Date:   Tue Jan 28 23:36:12 2014 -0500

    break logwarning into two lines to respect line character limit.

commit e3754dc5b94730f37e9806974340e6dd93400f85
Author: Erik Selin <erik.selin@jadedpixel.com>
Date:   Tue Jan 28 21:16:21 2014 -0500

    add log warning when worker registration fails due to attempt to re-register on same address.

commit 14baca241fa7823e1213cfc12a3ff2a9b865b1ed
Author: Erik Selin <erik.selin@jadedpixel.com>
Date:   Wed Jan 22 21:23:26 2014 -0500

    address code style comment

commit 71c0d7e6f59cd378d4e24994c21140ab893954ee
Author: Erik Selin <erik.selin@jadedpixel.com>
Date:   Wed Jan 22 16:01:42 2014 -0500

    Make a failed registration not persist, not send a `RegisteredWordker` event and not run `schedule` but rather send a `RegisterWorkerFailed` message to the worker attempting to register.
Merge pull request #524 from rxin/doc

Added spark.shuffle.file.buffer.kb to configuration doc.

Author: Reynold Xin <rxin@apache.org>

== Merge branch commits ==

commit 0eea1d761ff772ff89be234e1e28035d54e5a7de
Author: Reynold Xin <rxin@apache.org>
Date:   Wed Jan 29 14:40:48 2014 -0800

    Added spark.shuffle.file.buffer.kb to configuration doc.
Merge pull request #527 from ankurdave/graphx-assembly-pom

Add GraphX to assembly/pom.xml

Author: Ankur Dave <ankurdave@gmail.com>

== Merge branch commits ==

commit bb0b33ef9eb1b3d4a4fc283d9abb2ece4abcac23
Author: Ankur Dave <ankurdave@gmail.com>
Date:   Fri Jan 31 15:24:52 2014 -0800

    Add GraphX to assembly/pom.xml
Merge pull request #529 from hsaputra/cleanup_right_arrowop_scala

Change the ⇒ character (maybe from scalariform) to => in Scala code for style consistency

Looks like there are some ⇒ Unicode character (maybe from scalariform) in Scala code.
This PR is to change it to => to get some consistency on the Scala code.

If we want to use ⇒ as default we could use sbt plugin scalariform to make sure all Scala code has ⇒ instead of =>

And remove unused imports found in TwitterInputDStream.scala while I was there =)

Author: Henry Saputra <hsaputra@apache.org>

== Merge branch commits ==

commit 29c1771d346dff901b0b778f764e6b4409900234
Author: Henry Saputra <hsaputra@apache.org>
Date:   Sat Feb 1 22:05:16 2014 -0800

    Change the ⇒ character (maybe from scalariform) to => in Scala code for style consistency.
Merge pull request #530 from aarondav/cleanup. Closes #530.

Remove explicit conversion to PairRDDFunctions in cogroup()

As SparkContext._ is already imported, using the implicit conversion appears to make the code much cleaner. Perhaps there was some sinister reason for doing the conversion explicitly, however.

Author: Aaron Davidson <aaron@databricks.com>

== Merge branch commits ==

commit aa4a63f1bfd5b5178fe67364dd7ce4d84c357996
Author: Aaron Davidson <aaron@databricks.com>
Date:   Sun Feb 2 23:48:04 2014 -0800

    Remove explicit conversion to PairRDDFunctions in cogroup()

    As SparkContext._ is already imported, using the implicit conversion
    appears to make the code much cleaner. Perhaps there was some sinister
    reason for doing the converion explicitly, however.
Merge pull request #528 from mengxr/sample. Closes #528.

 Refactor RDD sampling and add randomSplit to RDD (update)

Replace SampledRDD by PartitionwiseSampledRDD, which accepts a RandomSampler instance as input. The current sample with/without replacement can be easily integrated via BernoulliSampler and PoissonSampler. The benefits are:

1) RDD.randomSplit is implemented in the same way, related to https://github.com/apache/incubator-spark/pull/513
2) Stratified sampling and importance sampling can be implemented in the same manner as well.

Unit tests are included for samplers and RDD.randomSplit.

This should performance better than my previous request where the BernoulliSampler creates many Iterator instances:
https://github.com/apache/incubator-spark/pull/513

Author: Xiangrui Meng <meng@databricks.com>

== Merge branch commits ==

commit e8ce957e5f0a600f2dec057924f4a2ca6adba373
Author: Xiangrui Meng <meng@databricks.com>
Date:   Mon Feb 3 12:21:08 2014 -0800

    more docs to PartitionwiseSampledRDD

commit fbb4586d0478ff638b24bce95f75ff06f713d43b
Author: Xiangrui Meng <meng@databricks.com>
Date:   Mon Feb 3 00:44:23 2014 -0800

    move XORShiftRandom to util.random and use it in BernoulliSampler

commit 987456b0ee8612fd4f73cb8c40967112dc3c4c2d
Author: Xiangrui Meng <meng@databricks.com>
Date:   Sat Feb 1 11:06:59 2014 -0800

    relax assertions in SortingSuite because the RangePartitioner has large variance in this case

commit 3690aae416b2dc9b2f9ba32efa465ba7948477f4
Author: Xiangrui Meng <meng@databricks.com>
Date:   Sat Feb 1 09:56:28 2014 -0800

    test split ratio of RDD.randomSplit

commit 8a410bc933a60c4d63852606f8bbc812e416d6ae
Author: Xiangrui Meng <meng@databricks.com>
Date:   Sat Feb 1 09:25:22 2014 -0800

    add a test to ensure seed distribution and minor style update

commit ce7e866f674c30ab48a9ceb09da846d5362ab4b6
Author: Xiangrui Meng <meng@databricks.com>
Date:   Fri Jan 31 18:06:22 2014 -0800

    minor style change

commit 750912b4d77596ed807d361347bd2b7e3b9b7a74
Author: Xiangrui Meng <meng@databricks.com>
Date:   Fri Jan 31 18:04:54 2014 -0800

    fix some long lines

commit c446a25c38d81db02821f7f194b0ce5ab4ed7ff5
Author: Xiangrui Meng <meng@databricks.com>
Date:   Fri Jan 31 17:59:59 2014 -0800

    add complement to BernoulliSampler and minor style changes

commit dbe2bc2bd888a7bdccb127ee6595840274499403
Author: Xiangrui Meng <meng@databricks.com>
Date:   Fri Jan 31 17:45:08 2014 -0800

    switch to partition-wise sampling for better performance

commit a1fca5232308feb369339eac67864c787455bb23
Merge: ac712e4 cf6128f
Author: Xiangrui Meng <meng@databricks.com>
Date:   Fri Jan 31 16:33:09 2014 -0800

    Merge branch 'sample' of github.com:mengxr/incubator-spark into sample

commit cf6128fb672e8c589615adbd3eaa3cbdb72bd461
Author: Xiangrui Meng <meng@databricks.com>
Date:   Sun Jan 26 14:40:07 2014 -0800

    set SampledRDD deprecated in 1.0

commit f430f847c3df91a3894687c513f23f823f77c255
Author: Xiangrui Meng <meng@databricks.com>
Date:   Sun Jan 26 14:38:59 2014 -0800

    update code style

commit a8b5e2021a9204e318c80a44d00c5c495f1befb6
Author: Xiangrui Meng <meng@databricks.com>
Date:   Sun Jan 26 12:56:27 2014 -0800

    move package random to util.random

commit ab0fa2c4965033737a9e3a9bf0a59cbb0df6a6f5
Author: Xiangrui Meng <meng@databricks.com>
Date:   Sun Jan 26 12:50:35 2014 -0800

    add Apache headers and update code style

commit 985609fe1a55655ad11966e05a93c18c138a403d
Author: Xiangrui Meng <meng@databricks.com>
Date:   Sun Jan 26 11:49:25 2014 -0800

    add new lines

commit b21bddf29850a2c006a868869b8f91960a029322
Author: Xiangrui Meng <meng@databricks.com>
Date:   Sun Jan 26 11:46:35 2014 -0800

    move samplers to random.IndependentRandomSampler and add tests

commit c02dacb4a941618e434cefc129c002915db08be6
Author: Xiangrui Meng <meng@databricks.com>
Date:   Sat Jan 25 15:20:24 2014 -0800

    add RandomSampler

commit 8ff7ba3c5cf1fc338c29ae8b5fa06c222640e89c
Author: Xiangrui Meng <meng@databricks.com>
Date:   Fri Jan 24 13:23:22 2014 -0800

    init impl of IndependentlySampledRDD
add maxretrynumber of driver in worker and master
shrinking the serialized object, simplify the counter monitoring