SPARK-6225 [CORE] [SQL] [STREAMING] Resolve most build warnings, 1.3.0 edition

Resolve javac, scalac warnings of various types -- deprecations, Scala lang, unchecked cast, etc.

Author: Sean Owen <sowen@cloudera.com>

Closes #4950 from srowen/SPARK-6225 and squashes the following commits:

3080972 [Sean Owen] Ordered imports: Java, Scala, 3rd party, Spark
c67985b [Sean Owen] Resolve javac, scalac warnings of various types -- deprecations, Scala lang, unchecked cast, etc.

1 files changed, 4 insertions, 4 deletions

diff --git a/mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala b/mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
index c399496568..5f5a996a87 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
@@ -199,12 +199,12 @@ object MatrixFactorizationModel extends Loader[MatrixFactorizationModel] {
       assert(formatVersion == thisFormatVersion)
       val rank = (metadata \ "rank").extract[Int]
       val userFeatures = sqlContext.parquetFile(userPath(path))
-        .map { case Row(id: Int, features: Seq[Double]) =>
-          (id, features.toArray)
+        .map { case Row(id: Int, features: Seq[_]) =>
+          (id, features.asInstanceOf[Seq[Double]].toArray)
         }
       val productFeatures = sqlContext.parquetFile(productPath(path))
-        .map { case Row(id: Int, features: Seq[Double]) =>
-        (id, features.toArray)
+        .map { case Row(id: Int, features: Seq[_]) =>
+        (id, features.asInstanceOf[Seq[Double]].toArray)
       }
       new MatrixFactorizationModel(rank, userFeatures, productFeatures)
     }