Use public method sparkContext instead of protected sc in streaming examples

examples/src/main/scala/spark/streaming/examples/QueueStream.scala

@@ -30,10 +30,10 @@ object QueueStream {
     
     // Create and push some RDDs into
     for (i <- 1 to 30) {
-      rddQueue += ssc.sc.makeRDD(1 to 1000, 10)
+      rddQueue += sc.sparkContext.makeRDD(1 to 1000, 10)
       Thread.sleep(1000)
     }
     ssc.stop()
     System.exit(0)
   }
-}
+}
\ No newline at end of file

examples/src/main/scala/spark/streaming/examples/RawNetworkGrep.scala

@@ -34,7 +34,7 @@ object RawNetworkGrep {
     val ssc = new StreamingContext(master, "RawNetworkGrep", Milliseconds(batchMillis))
 
     // Warm up the JVMs on master and slave for JIT compilation to kick in
-    RawTextHelper.warmUp(ssc.sc)
+    RawTextHelper.warmUp(sc.sparkContext)
 
     val rawStreams = (1 to numStreams).map(_ =>
       ssc.rawSocketStream[String](host, port, StorageLevel.MEMORY_ONLY_SER_2)).toArray

examples/src/main/scala/spark/streaming/examples/clickstream/PageViewStream.scala

@@ -60,7 +60,7 @@ object PageViewStream {
                                    .map("Unique active users: " + _)
 
     // An external dataset we want to join to this stream
-    val userList = ssc.sc.parallelize(
+    val userList = ssc.sparkContext.parallelize(
        Map(1 -> "Patrick Wendell", 2->"Reynold Xin", 3->"Matei Zaharia").toSeq)
 
     metric match {