Removed unused code, clarified intent of the program, batch size to 1 second

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

@@ -4,7 +4,7 @@ import spark.streaming._
 import spark.streaming.StreamingContext._
 
 /**
- * Counts words in UTF8 encoded, '\n' delimited text received from the network every second.
+ * Counts words cumulatively in UTF8 encoded, '\n' delimited text received from the network every second.
  * Usage: StatefulNetworkWordCount <master> <hostname> <port>
  *   <master> is the Spark master URL. In local mode, <master> should be 'local[n]' with n > 1.
  *   <hostname> and <port> describe the TCP server that Spark Streaming would connect to receive data.
@@ -15,8 +15,6 @@ import spark.streaming.StreamingContext._
  *    `$ ./run spark.streaming.examples.StatefulNetworkWordCount local[2] localhost 9999`
  */
 object StatefulNetworkWordCount {
-  private def className[A](a: A)(implicit m: Manifest[A]) = m.toString
-
   def main(args: Array[String]) {
     if (args.length < 3) {
       System.err.println("Usage: StatefulNetworkWordCount <master> <hostname> <port>\n" +
@@ -32,8 +30,8 @@ object StatefulNetworkWordCount {
       Some(currentCount + previousCount)
     }
 
-    // Create the context with a 10 second batch size
-    val ssc = new StreamingContext(args(0), "NetworkWordCumulativeCountUpdateStateByKey", Seconds(10),
+    // Create the context with a 1 second batch size
+    val ssc = new StreamingContext(args(0), "NetworkWordCumulativeCountUpdateStateByKey", Seconds(1),
       System.getenv("SPARK_HOME"), Seq(System.getenv("SPARK_EXAMPLES_JAR")))
     ssc.checkpoint(".")