[SPARK-4419] Upgrade snappy-java to 1.1.1.6

This upgrades snappy-java to 1.1.1.6, which includes a patch that improves error messages when attempting to deserialize empty inputs using SnappyInputStream (see xerial/snappy-java#89).

We previously tried up upgrade to 1.1.1.5 in #2911 but reverted that patch after discovering a memory leak in snappy-java.  This should leak have been fixed in 1.1.1.6, though (see xerial/snappy-java#92).

Author: Josh Rosen <joshrosen@databricks.com>

Closes #3287 from JoshRosen/SPARK-4419 and squashes the following commits:

5d6f4cc [Josh Rosen] [SPARK-4419] Upgrade snappy-java to 1.1.1.6.
[SPARK-4426][SQL][Minor] The symbol of BitwiseOr is wrong, should not be '&'

The symbol of BitwiseOr is defined as '&' but I think it's wrong. It should be '|'.

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

Closes #3284 from sarutak/bitwise-or-symbol-fix and squashes the following commits:

aff4be5 [Kousuke Saruta] Fixed symbol of BitwiseOr
[SPARK-4393] Fix memory leak in ConnectionManager ACK timeout TimerTasks; use HashedWheelTimer

This patch is intended to fix a subtle memory leak in ConnectionManager's ACK timeout TimerTasks: in the old code, each TimerTask held a reference to the message being sent and a cancelled TimerTask won't necessarily be garbage-collected until it's scheduled to run, so this caused huge buildups of messages that weren't garbage collected until their timeouts expired, leading to OOMs.

This patch addresses this problem by capturing only the message ID in the TimerTask instead of the whole message, and by keeping a WeakReference to the promise in the TimerTask.  I've also modified this code to use Netty's HashedWheelTimer, whose performance characteristics should be better for this use-case.

Thanks to cristianopris for narrowing down this issue!

Author: Josh Rosen <joshrosen@databricks.com>

Closes #3259 from JoshRosen/connection-manager-timeout-bugfix and squashes the following commits:

afcc8d6 [Josh Rosen] Address rxin's review feedback.
2a2e92d [Josh Rosen] Keep only WeakReference to promise in TimerTask;
0f0913b [Josh Rosen] Spelling fix: timout => timeout
3200c33 [Josh Rosen] Use Netty HashedWheelTimer
f847dd4 [Josh Rosen] Don't capture entire message in ACK timeout task.
[SPARK-4309][SPARK-4407][SQL] Date type support for Thrift server, and fixes for complex types

SPARK-4407 was detected while working on SPARK-4309. Merged these two into a single PR since 1.2.0 RC is approaching.

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Author: Cheng Lian <lian@databricks.com>

Closes #3178 from liancheng/date-for-thriftserver and squashes the following commits:

6f71d0b [Cheng Lian] Makes toHiveString static
26fa955 [Cheng Lian] Fixes complex type support in Hive 0.13.1 shim
a92882a [Cheng Lian] Updates HiveShim for 0.13.1
73f442b [Cheng Lian] Adds Date support for HiveThriftServer2 (Hive 0.12.0)
Revert "[SPARK-4309][SPARK-4407][SQL] Date type support for Thrift server, and fixes for complex types"

Author: Michael Armbrust <michael@databricks.com>

Closes #3292 from marmbrus/revert4309 and squashes the following commits:

808e96e [Michael Armbrust] Revert "[SPARK-4309][SPARK-4407][SQL] Date type support for Thrift server, and fixes for complex types"
[SPARK-4422][MLLIB]In some cases, Vectors.fromBreeze get wrong results.

cc mengxr

Author: GuoQiang Li <witgo@qq.com>

Closes #3281 from witgo/SPARK-4422 and squashes the following commits:

5f1fa5e [GuoQiang Li] import order
50783bd [GuoQiang Li] review commits
7a10123 [GuoQiang Li] In some cases, Vectors.fromBreeze get wrong results.
[SPARK-4410][SQL] Add support for external sort

Adds a new operator that uses Spark's `ExternalSort` class.  It is off by default now, but we might consider making it the default if benchmarks show that it does not regress performance.

Author: Michael Armbrust <michael@databricks.com>

Closes #3268 from marmbrus/externalSort and squashes the following commits:

48b9726 [Michael Armbrust] comments
b98799d [Michael Armbrust] Add test
afd7562 [Michael Armbrust] Add support for external sort.
SPARK-4445, Don't display storage level in toDebugString unless RDD is persisted.

Author: Prashant Sharma <prashant.s@imaginea.com>

Closes #3310 from ScrapCodes/SPARK-4445/rddDebugStringFix and squashes the following commits:

4e57c52 [Prashant Sharma] SPARK-4445, Don't display storage level in toDebugString unless RDD is persisted
SPARK-2811 upgrade algebird to 0.8.1

Author: Adam Pingel <adam@axle-lang.org>

Closes #3282 from adampingel/master and squashes the following commits:

70c8d3c [Adam Pingel] relocate the algebird example back to example/src
7a9d8be [Adam Pingel] SPARK-2811 upgrade algebird to 0.8.1
[SPARK-4444] Drop VD type parameter from EdgeRDD

Due to vertex attribute caching, EdgeRDD previously took two type parameters: ED and VD. However, this is an implementation detail that should not be exposed in the interface, so this PR drops the VD type parameter.

This requires removing the `filter` method from the EdgeRDD interface, because it depends on vertex attribute caching.

Author: Ankur Dave <ankurdave@gmail.com>

Closes #3303 from ankurdave/edgerdd-drop-tparam and squashes the following commits:

38dca9b [Ankur Dave] Leave EdgeRDD.fromEdges public
fafeb51 [Ankur Dave] Drop VD type parameter from EdgeRDD
Revert "[SPARK-4075] [Deploy] Jar url validation is not enough for Jar file"

This reverts commit 098f83c7ccd7dad9f9228596da69fe5f55711a52.
[DOCS][SQL] Fix broken link to Row class scaladoc

Author: Andy Konwinski <andykonwinski@gmail.com>

Closes #3323 from andyk/patch-2 and squashes the following commits:

4699fdc [Andy Konwinski] Fix broken link to Row class scaladoc
[SPARK-4180] [Core] Prevent creation of multiple active SparkContexts

This patch adds error-detection logic to throw an exception when attempting to create multiple active SparkContexts in the same JVM, since this is currently unsupported and has been known to cause confusing behavior (see SPARK-2243 for more details).

**The solution implemented here is only a partial fix.**  A complete fix would have the following properties:

1. Only one SparkContext may ever be under construction at any given time.
2. Once a SparkContext has been successfully constructed, any subsequent construction attempts should fail until the active SparkContext is stopped.
3. If the SparkContext constructor throws an exception, then all resources created in the constructor should be cleaned up (SPARK-4194).
4. If a user attempts to create a SparkContext but the creation fails, then the user should be able to create new SparkContexts.

This PR only provides 2) and 4); we should be able to provide all of these properties, but the correct fix will involve larger changes to SparkContext's construction / initialization, so we'll target it for a different Spark release.

### The correct solution:

I think that the correct way to do this would be to move the construction of SparkContext's dependencies into a static method in the SparkContext companion object.  Specifically, we could make the default SparkContext constructor `private` and change it to accept a `SparkContextDependencies` object that contains all of SparkContext's dependencies (e.g. DAGScheduler, ContextCleaner, etc.).  Secondary constructors could call a method on the SparkContext companion object to create the `SparkContextDependencies` and pass the result to the primary SparkContext constructor.  For example:

```scala
class SparkContext private (deps: SparkContextDependencies) {
  def this(conf: SparkConf) {
    this(SparkContext.getDeps(conf))
  }
}

object SparkContext(
  private[spark] def getDeps(conf: SparkConf): SparkContextDependencies = synchronized {
    if (anotherSparkContextIsActive) { throw Exception(...) }
    var dagScheduler: DAGScheduler = null
    try {
        dagScheduler = new DAGScheduler(...)
        [...]
    } catch {
      case e: Exception =>
         Option(dagScheduler).foreach(_.stop())
          [...]
    }
    SparkContextDependencies(dagScheduler, ....)
  }
}
```

This gives us mutual exclusion and ensures that any resources created during the failed SparkContext initialization are properly cleaned up.

This indirection is necessary to maintain binary compatibility.  In retrospect, it would have been nice if SparkContext had no private constructors and could only be created through builder / factory methods on its companion object, since this buys us lots of flexibility and makes dependency injection easier.

### Alternative solutions:

As an alternative solution, we could refactor SparkContext's primary constructor to perform all object creation in a giant `try-finally` block.  Unfortunately, this will require us to turn a bunch of `vals` into `vars` so that they can be assigned from the `try` block.  If we still want `vals`, we could wrap each `val` in its own `try` block (since the try block can return a value), but this will lead to extremely messy code and won't guard against the introduction of future code which doesn't properly handle failures.

The more complex approach outlined above gives us some nice dependency injection benefits, so I think that might be preferable to a `var`-ification.

### This PR's solution:

- At the start of the constructor, check whether some other SparkContext is active; if so, throw an exception.
- If another SparkContext might be under construction (or has thrown an exception during construction), allow the new SparkContext to begin construction but log a warning (since resources might have been leaked from a failed creation attempt).
- At the end of the SparkContext constructor, check whether some other SparkContext constructor has raced and successfully created an active context.  If so, throw an exception.

This guarantees that no two SparkContexts will ever be active and exposed to users (since we check at the very end of the constructor).  If two threads race to construct SparkContexts, then one of them will win and another will throw an exception.

This exception can be turned into a warning by setting `spark.driver.allowMultipleContexts = true`.  The exception is disabled in unit tests, since there are some suites (such as Hive) that may require more significant refactoring to clean up their SparkContexts.  I've made a few changes to other suites' test fixtures to properly clean up SparkContexts so that the unit test logs contain fewer warnings.

Author: Josh Rosen <joshrosen@databricks.com>

Closes #3121 from JoshRosen/SPARK-4180 and squashes the following commits:

23c7123 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180
d38251b [Josh Rosen] Address latest round of feedback.
c0987d3 [Josh Rosen] Accept boolean instead of SparkConf in methods.
85a424a [Josh Rosen] Incorporate more review feedback.
372d0d3 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180
f5bb78c [Josh Rosen] Update mvn build, too.
d809cb4 [Josh Rosen] Improve handling of failed SparkContext creation attempts.
79a7e6f [Josh Rosen] Fix commented out test
a1cba65 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180
7ba6db8 [Josh Rosen] Add utility to set system properties in tests.
4629d5c [Josh Rosen] Set spark.driver.allowMultipleContexts=true in tests.
ed17e14 [Josh Rosen] Address review feedback; expose hack workaround for existing unit tests.
1c66070 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180
06c5c54 [Josh Rosen] Add / improve SparkContext cleanup in streaming BasicOperationsSuite
d0437eb [Josh Rosen] StreamingContext.stop() should stop SparkContext even if StreamingContext has not been started yet.
c4d35a2 [Josh Rosen] Log long form of creation site to aid debugging.
918e878 [Josh Rosen] Document "one SparkContext per JVM" limitation.
afaa7e3 [Josh Rosen] [SPARK-4180] Prevent creations of multiple active SparkContexts.
[SQL] Makes conjunction pushdown more aggressive for in-memory table

This is inspired by the [Parquet record filter generation code](https://github.com/apache/spark/blob/64c6b9bad559c21f25cd9fbe37c8813cdab939f2/sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetFilters.scala#L387-L400).

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Author: Cheng Lian <lian@databricks.com>

Closes #3318 from liancheng/aggresive-conj-pushdown and squashes the following commits:

78b69d2 [Cheng Lian] Makes conjunction pushdown more aggressive
[SPARK-4420][SQL] Change nullability of Cast from DoubleType/FloatType to DecimalType.

This is follow-up of [SPARK-4390](https://issues.apache.org/jira/browse/SPARK-4390) (#3256).

Author: Takuya UESHIN <ueshin@happy-camper.st>

Closes #3278 from ueshin/issues/SPARK-4420 and squashes the following commits:

7fea558 [Takuya UESHIN] Add some tests.
cb2301a [Takuya UESHIN] Fix tests.
133bad5 [Takuya UESHIN] Change nullability of Cast from DoubleType/FloatType to DecimalType.
[SPARK-4425][SQL] Handle NaN or Infinity cast to Timestamp correctly.

`Cast` from `NaN` or `Infinity` of `Double` or `Float` to `TimestampType` throws `NumberFormatException`.

Author: Takuya UESHIN <ueshin@happy-camper.st>

Closes #3283 from ueshin/issues/SPARK-4425 and squashes the following commits:

14def0c [Takuya UESHIN] Fix Cast to be able to handle NaN or Infinity to TimestampType.
[SQL] Construct the MutableRow from an Array

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

Closes #3217 from chenghao-intel/mutablerow and squashes the following commits:

e8a10bd [Cheng Hao] revert the change of Row object
4681aea [Cheng Hao] Add toMutableRow method in object Row
a751838 [Cheng Hao] Construct the MutableRow from an existed row
[SPARK-4309][SPARK-4407][SQL] Date type support for Thrift server, and fixes for complex types

This PR is exactly the same as #3178 except it reverts the `FileStatus.isDir` to `FileStatus.isDirectory` change, since it doesn't compile with Hadoop 1.

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Author: Cheng Lian <lian@databricks.com>

Closes #3298 from liancheng/date-for-thriftserver and squashes the following commits:

866037e [Cheng Lian] Revers isDirectory to isDir (it breaks Hadoop 1 profile)
6f71d0b [Cheng Lian] Makes toHiveString static
26fa955 [Cheng Lian] Fixes complex type support in Hive 0.13.1 shim
a92882a [Cheng Lian] Updates HiveShim for 0.13.1
73f442b [Cheng Lian] Adds Date support for HiveThriftServer2 (Hive 0.12.0)
[SPARK-4443][SQL] Fix statistics for external table in spark sql hive

The `totalSize` of external table  is always zero, which will influence join strategy(always use broadcast join for external table).

Author: w00228970 <wangfei1@huawei.com>

Closes #3304 from scwf/statistics and squashes the following commits:

568f321 [w00228970] fix statistics for external table
[SPARK-4448] [SQL] unwrap for the ConstantObjectInspector

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

Closes #3308 from chenghao-intel/unwrap_constant_oi and squashes the following commits:

156b500 [Cheng Hao] rebase the master
c5b20ab [Cheng Hao] unwrap for the ConstantObjectInspector