[SQL] Minor fix for doc and comment

docs/sql-programming-guide.md

@@ -994,7 +994,7 @@ Several caching related features are not supported yet:
 ## Compatibility with Apache Hive
 
 Spark SQL is designed to be compatible with the Hive Metastore, SerDes and UDFs.  Currently Spark
-SQL is based on Hive 0.12.0.
+SQL is based on Hive 0.12.0 and 0.13.1.
 
 #### Deploying in Existing Hive Warehouses
 
@@ -1033,6 +1033,7 @@ Spark SQL supports the vast majority of Hive features, such as:
 * Sampling
 * Explain
 * Partitioned tables
+* View
 * All Hive DDL Functions, including:
   * `CREATE TABLE`
   * `CREATE TABLE AS SELECT`

examples/src/main/scala/org/apache/spark/examples/sql/hive/HiveFromSpark.scala

@@ -28,9 +28,10 @@ object HiveFromSpark {
     val sparkConf = new SparkConf().setAppName("HiveFromSpark")
     val sc = new SparkContext(sparkConf)
 
-    // A local hive context creates an instance of the Hive Metastore in process, storing 
-    // the warehouse data in the current directory.  This location can be overridden by
-    // specifying a second parameter to the constructor.
+    // A hive context adds support for finding tables in the MetaStore and writing queries
+    // using HiveQL. Users who do not have an existing Hive deployment can still create a
+    // HiveContext. When not configured by the hive-site.xml, the context automatically
+    // creates metastore_db and warehouse in the current directory.
     val hiveContext = new HiveContext(sc)
     import hiveContext._
 

sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala

@@ -49,7 +49,7 @@ class DefaultSource extends RelationProvider {
       sqlContext: SQLContext,
       parameters: Map[String, String]): BaseRelation = {
     val path =
-      parameters.getOrElse("path", sys.error("'path' must be specifed for parquet tables."))
+      parameters.getOrElse("path", sys.error("'path' must be specified for parquet tables."))
 
     ParquetRelation2(path)(sqlContext)
   }