[SPARK-2710][SQL] fix fcalastyle checks errors

Author: chutium

sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala

@@ -250,7 +250,6 @@ class SQLContext(@transient val sparkContext: SparkContext)
         sql, lowerBound, upperBound, numPartitions,
         (r: ResultSet) => r
     )
-    //new SchemaRDD(this, JdbcResultSetRDD.inferSchema(resultSetRDD))
     val appliedSchema = JdbcResultSetRDD.inferSchema(resultSetRDD)
     val rowRDD = JdbcResultSetRDD.jdbcResultSetToRow(resultSetRDD, appliedSchema)
     applySchema(rowRDD, appliedSchema)
@@ -463,7 +462,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
     protected def stringOrError[A](f: => A): String =
       try f.toString catch { case e: Throwable => e.toString }
 
-    def simpleString: String = 
+    def simpleString: String =
       s"""== Physical Plan ==
          |${stringOrError(executedPlan)}
       """

sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcTypes.scala

@@ -57,19 +57,19 @@ private[sql] object JdbcTypes extends Logging {
       // case java.sql.Types.CLOB
 
       // TODO: BLOB only works with getBlob or getBinaryStream
-      //case java.sql.Types.BLOB
+      // case java.sql.Types.BLOB
 
       // TODO: nested types
-      //case java.sql.Types.ARRAY     => ArrayType
-      //case java.sql.Types.STRUCT    => StructType
+      // case java.sql.Types.ARRAY     => ArrayType
+      // case java.sql.Types.STRUCT    => StructType
 
       // TODO: unsupported types
-      //case java.sql.Types.DISTINCT
-      //case java.sql.Types.REF
+      // case java.sql.Types.DISTINCT
+      // case java.sql.Types.REF
 
       // TODO: more about JAVA_OBJECT:
       //   http://docs.oracle.com/javase/6/docs/technotes/guides/jdbc/getstart/mapping.html#1038181
-      //case java.sql.Types.JAVA_OBJECT => BinaryType
+      // case java.sql.Types.JAVA_OBJECT => BinaryType
 
       case _ => sys.error(
         s"Unsupported jdbc datatype")