[SQL] Make Hive Metastore conversion functions publicly visible.

I need this to be public for the implementation of SharkServer2.  However, I think this functionality is generally useful and should be pretty stable.

Author: Michael Armbrust <michael@databricks.com>

Closes #750 from marmbrus/metastoreTypes and squashes the following commits:

f51b62e [Michael Armbrust] Make Hive Metastore conversion functions publicly visible.
Typo: resond -> respond

Author: Andrew Ash <andrew@andrewash.com>

Closes #743 from ash211/patch-4 and squashes the following commits:

c959f3b [Andrew Ash] Typo: resond -> respond
L-BFGS Documentation

Documentation for L-BFGS, and an example of training binary L2 logistic regression using L-BFGS.

Author: DB Tsai <dbtsai@alpinenow.com>

Closes #702 from dbtsai/dbtsai-lbfgs-doc and squashes the following commits:

0712215 [DB Tsai] Update
38fdfa1 [DB Tsai] Removed extra empty line
5745b64 [DB Tsai] Update again
e9e418e [DB Tsai] Update
7381521 [DB Tsai] L-BFGS Documentation
Modify a typo in monitoring.md

As I mentioned in SPARK-1765, there is a word 'JXM' in monitoring.md.
I think it's typo for 'JMX'.

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

Closes #698 from sarutak/SPARK-1765 and squashes the following commits:

bae9843 [Kousuke Saruta] modified a typoe in monitoring.md
SPARK-1757 Failing test for saving null primitives with .saveAsParquetFile()

https://issues.apache.org/jira/browse/SPARK-1757

The first test succeeds, but the second test fails with exception:

```
[info] - save and load case class RDD with Nones as parquet *** FAILED *** (14 milliseconds)
[info]   java.lang.RuntimeException: Unsupported datatype StructType(List())
[info]   at scala.sys.package$.error(package.scala:27)
[info]   at org.apache.spark.sql.parquet.ParquetTypesConverter$.fromDataType(ParquetRelation.scala:201)
[info]   at org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$1.apply(ParquetRelation.scala:235)
[info]   at org.apache.spark.sql.parquet.ParquetTypesConverter$$anonfun$1.apply(ParquetRelation.scala:235)
[info]   at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
[info]   at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
[info]   at scala.collection.immutable.List.foreach(List.scala:318)
[info]   at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
[info]   at scala.collection.AbstractTraversable.map(Traversable.scala:105)
[info]   at org.apache.spark.sql.parquet.ParquetTypesConverter$.convertFromAttributes(ParquetRelation.scala:234)
[info]   at org.apache.spark.sql.parquet.ParquetTypesConverter$.writeMetaData(ParquetRelation.scala:267)
[info]   at org.apache.spark.sql.parquet.ParquetRelation$.createEmpty(ParquetRelation.scala:143)
[info]   at org.apache.spark.sql.parquet.ParquetRelation$.create(ParquetRelation.scala:122)
[info]   at org.apache.spark.sql.execution.SparkStrategies$ParquetOperations$.apply(SparkStrategies.scala:139)
[info]   at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
[info]   at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
[info]   at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
[info]   at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
[info]   at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:264)
[info]   at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:264)
[info]   at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:265)
[info]   at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:265)
[info]   at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:268)
[info]   at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:268)
[info]   at org.apache.spark.sql.SchemaRDDLike$class.saveAsParquetFile(SchemaRDDLike.scala:66)
[info]   at org.apache.spark.sql.SchemaRDD.saveAsParquetFile(SchemaRDD.scala:98)
```

Author: Andrew Ash <andrew@andrewash.com>
Author: Michael Armbrust <michael@databricks.com>

Closes #690 from ash211/rdd-parquet-save and squashes the following commits:

747a0b9 [Andrew Ash] Merge pull request #1 from marmbrus/pr/690
54bd00e [Michael Armbrust] Need to put Option first since Option <: Seq.
8f3f281 [Andrew Ash] SPARK-1757 Add failing test for saving SparkSQL Schemas with Option[?] fields as parquet