public static void main(String[] args) {
if (args.length == 0) {
System.err.println("Usage: Main <file>");
System.exit(1);
}
SparkConf conf = new SparkConf().setAppName("Days of the week by on-time arrival performance");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> lines = sc.textFile(args[0]);
JavaPairRDD<String, Double> dayArrivalDelayPair =
lines.flatMapToPair(
line -> {
String[] splitLine = line.split(SPLIT_PATTERN);
String key = splitLine.length == 0 ? "" : splitLine[0];
Double value = splitLine.length < 2 ? value = 0.0 : Double.valueOf(splitLine[1]);
return Arrays.asList(new Tuple2<>(key, value));
});
JavaPairRDD<String, AverageWrapper> dayAverageWrapper =
dayArrivalDelayPair.mapValues(value -> new AverageWrapper(value, 1));
JavaPairRDD<String, AverageWrapper> daysValueCount =
dayAverageWrapper.reduceByKey(
(aw1, aw2) ->
new AverageWrapper(
aw1.getValue() + aw2.getValue(), aw1.getCount() + aw2.getCount()));
Map<String, AverageWrapper> resultMap = daysValueCount.collectAsMap();
List<Map.Entry<String, AverageWrapper>> listResults = new ArrayList<>();
listResults.addAll(resultMap.entrySet());
Collections.sort(
listResults,
(entry1, entry2) ->
Double.valueOf(entry1.getValue().getValue()).compareTo(entry2.getValue().getValue()));
for (Map.Entry<String, AverageWrapper> entry : listResults) {
System.out.printf(
"%s -> (%f, %d)\n",
entry.getKey(), entry.getValue().getValue(), entry.getValue().getCount());
}
// JavaPairRDD<String, Double> resultRDD =
// daysValueCount.mapValues(averageWrapper -> averageWrapper.getValue() /
// averageWrapper.getCount());
//
// Map<String, Double> results = resultRDD.collectAsMap();
// List<Map.Entry<String, Double>> listResults = new ArrayList<>();
// listResults.addAll(results.entrySet());
// Collections.sort(listResults, (entry1, entry2) ->
// entry1.getValue().compareTo(entry2.getValue()));
//
// for (Map.Entry<String, Double> entry : listResults) {
// System.out.printf("%s:\t%f\n", entry.getKey(), entry.getValue());
// }
}
/**
* Class used to analyze themes life cycle.
*
* @param hmmInput The hmmInput from which is going to be used the background model, the lexicon
* and the wordStream. Themes must be added before any analytics can be done.
*/
public LifeCycleAnalyserSpark(HmmInputFromParser hmmInput) {
this.wordStream = hmmInput.wordStream;
this.lexicon = hmmInput.lexicon;
this.lexiconAsMap = lexicon.collectAsMap();
getInvertedLexicon();
numberOfThemes = 0L;
numberOfWords = lexicon.count();
// themes = new ArrayList<double[]>();
setBackgroundModelAsThemebyId(hmmInput.backgroundModelById);
}
