public static void main(String[] args) { // Create a Spark Context. SparkConf conf = new SparkConf().setAppName("Activity").set("spark.eventLog.enabled", "true"); ; JavaSparkContext sc = new JavaSparkContext(conf); JavaStreamingContext jssc = new JavaStreamingContext(sc, STREAM_INTERVAL); String TOPIC = "activityevent"; String zkQuorum = "localhost:2181"; String group = "1"; Map<String, Integer> topicMap = new HashMap<String, Integer>(); topicMap.put(TOPIC, 1); JavaPairReceiverInputDStream<String, String> messages = KafkaUtils.createStream(jssc, zkQuorum, group, topicMap); // messages.print(); JavaDStream<String> activitydatastream = messages.map( new Function<Tuple2<String, String>, String>() { @Override public String call(Tuple2<String, String> tuple2) { return tuple2._2(); } }); final Long teamWindowDurationMs = Durations.minutes(1).milliseconds(); JavaDStream<Activity> ActivityEntryDStream = activitydatastream.map(Activity::parseFromLine); JavaPairDStream<WithTimestamp<String>, Double> ActivityWindowDStream = ActivityEntryDStream.mapToPair( windows -> new Tuple2<>( WithTimestamp.create( windows.getActivity(), // Apply Fixed Window by rounding the timestamp down to the nearest // multiple of the window size (convertMillsecs(windows.getTimestamp()) / teamWindowDurationMs) * teamWindowDurationMs), windows.getXaxis())) .reduceByKey(SUM_REDUCER); ActivityWindowDStream.print(); jssc.start(); jssc.awaitTermination(); // jssc.close(); sc.stop(); sc.close(); }