Fixed updateStateByKey to work with primitive types.

streaming/src/main/scala/spark/streaming/PairDStreamFunctions.scala

@@ -377,7 +377,7 @@ extends Serializable {
    *                   corresponding state key-value pair will be eliminated.
    * @tparam S State type
    */
-  def updateStateByKey[S <: AnyRef : ClassManifest](
+  def updateStateByKey[S: ClassManifest](
       updateFunc: (Seq[V], Option[S]) => Option[S]
     ): DStream[(K, S)] = {
     updateStateByKey(updateFunc, defaultPartitioner())
@@ -392,7 +392,7 @@ extends Serializable {
    * @param numPartitions Number of partitions of each RDD in the new DStream.
    * @tparam S State type
    */
-  def updateStateByKey[S <: AnyRef : ClassManifest](
+  def updateStateByKey[S: ClassManifest](
       updateFunc: (Seq[V], Option[S]) => Option[S],
       numPartitions: Int
     ): DStream[(K, S)] = {
@@ -408,7 +408,7 @@ extends Serializable {
    * @param partitioner Partitioner for controlling the partitioning of each RDD in the new DStream.
    * @tparam S State type
    */
-  def updateStateByKey[S <: AnyRef : ClassManifest](
+  def updateStateByKey[S: ClassManifest](
       updateFunc: (Seq[V], Option[S]) => Option[S],
       partitioner: Partitioner
     ): DStream[(K, S)] = {
@@ -431,7 +431,7 @@ extends Serializable {
    * @param rememberPartitioner Whether to remember the paritioner object in the generated RDDs.
    * @tparam S State type
    */
-  def updateStateByKey[S <: AnyRef : ClassManifest](
+  def updateStateByKey[S: ClassManifest](
       updateFunc: (Iterator[(K, Seq[V], Option[S])]) => Iterator[(K, S)],
       partitioner: Partitioner,
       rememberPartitioner: Boolean

streaming/src/main/scala/spark/streaming/dstream/StateDStream.scala

@@ -7,7 +7,7 @@ import spark.storage.StorageLevel
 import spark.streaming.{Duration, Time, DStream}
 
 private[streaming]
-class StateDStream[K: ClassManifest, V: ClassManifest, S <: AnyRef : ClassManifest](
+class StateDStream[K: ClassManifest, V: ClassManifest, S: ClassManifest](
     parent: DStream[(K, V)],
     updateFunc: (Iterator[(K, Seq[V], Option[S])]) => Iterator[(K, S)],
     partitioner: Partitioner,

streaming/src/test/scala/spark/streaming/BasicOperationsSuite.scala

@@ -151,10 +151,10 @@ class BasicOperationsSuite extends TestSuiteBase {
       )
 
     val updateStateOperation = (s: DStream[String]) => {
-      val updateFunc = (values: Seq[Int], state: Option[RichInt]) => {
-        Some(new RichInt(values.foldLeft(0)(_ + _) + state.map(_.self).getOrElse(0)))
+      val updateFunc = (values: Seq[Int], state: Option[Int]) => {
+        Some(values.foldLeft(0)(_ + _) + state.getOrElse(0))
       }
-      s.map(x => (x, 1)).updateStateByKey[RichInt](updateFunc).map(t => (t._1, t._2.self))
+      s.map(x => (x, 1)).updateStateByKey[Int](updateFunc)
     }
 
     testOperation(inputData, updateStateOperation, outputData, true)