JavaKafkaWordCount not working under Spark Streaming

I am embarrassed to admit but I can't get a basic 'word count' to work
under Kafka/Spark streaming. My code looks like this. I don't see any
word counts in console output. Also, don't see any output in UI. Needless
to say, I am newbie in both 'Spark' as well as 'Kafka'.

Please help. Thanks.

Here's the code:

public static void main(String[] args) {
if (args.length < 4) {
System.err.println("Usage: JavaKafkaWordCount <zkQuorum>
<group> <topics> <numThreads>");
System.exit(1);

// StreamingExamples.setStreamingLogLevels();
// SparkConf sparkConf = new
SparkConf().setAppName("JavaKafkaWordCount");

// Location of the Spark directory
String sparkHome = "/opt/mapr/spark/spark-1.0.2/";

// URL of the Spark cluster
String sparkUrl = "spark://mymachine:7077";

// Location of the required JAR files
String jarFiles =
"./spark-streaming-kafka_2.10-1.1.0.jar,./DlSpark-1.0-SNAPSHOT.jar,./zkclient-0.3.jar,./kafka_2.10-0.8.1.1.jar,./metrics-core-2.2.0.jar";

SparkConf sparkConf = new SparkConf();
sparkConf.setAppName("JavaKafkaWordCount");
sparkConf.setJars(new String[]{jarFiles});
sparkConf.setMaster(sparkUrl);
sparkConf.set("spark.ui.port", "2348");
sparkConf.setSparkHome(sparkHome);

Map<String, String> kafkaParams = new HashMap<String, String>();
kafkaParams.put("zookeeper.connect", "myedgenode:2181");
kafkaParams.put("group.id", "1");
kafkaParams.put("metadata.broker.list", "myedgenode:9092");
kafkaParams.put("serializer.class",
"kafka.serializer.StringEncoder");
kafkaParams.put("request.required.acks", "1");

// Create the context with a 1 second batch size
JavaStreamingContext jssc = new JavaStreamingContext(sparkConf, new
Duration(2000));

int numThreads = Integer.parseInt(args[3]);
Map<String, Integer> topicMap = new HashMap<String, Integer>();
String[] topics = args[2].split(",");
for (String topic: topics) {
topicMap.put(topic, numThreads);

// JavaPairReceiverInputDStream<String, String> messages =
// KafkaUtils.createStream(jssc, args[0], args[1], topicMap);
JavaPairDStream<String, String> messages =
KafkaUtils.createStream(jssc,
String.class,
String.class,
StringDecoder.class,
StringDecoder.class,
kafkaParams,
topicMap,
StorageLevel.MEMORY_ONLY_SER());

JavaDStream<String> lines = messages.map(new
Function<Tuple2<String, String>, String>() {
@Override
public String call(Tuple2<String, String> tuple2) {
return tuple2._2();

});

JavaDStream<String> words = lines.flatMap(new
FlatMapFunction<String, String>() {
@Override
public Iterable<String> call(String x) {
return Lists.newArrayList(SPACE.split(x));

});

JavaPairDStream<String, Integer> wordCounts = words.mapToPair(
new PairFunction<String, String, Integer>() {
@Override
public Tuple2<String, Integer> call(String s) {
return new Tuple2<String, Integer>(s, 1);

}).reduceByKey(new Function2<Integer, Integer, Integer>() {
@Override
public Integer call(Integer i1, Integer i2) {
return i1 + i2;

});

wordCounts.print();
jssc.start();
jssc.awaitTermination();