Exemplo n.º 1
0
  public Iterable<MeasurementDataNumericHighLowComposite> findDataForResource(
      int scheduleId, long beginTime, long endTime, int numberOfBuckets) {
    Stopwatch stopwatch = new Stopwatch().start();
    try {
      DateTime begin = new DateTime(beginTime);

      if (dateTimeService.isInRawDataRange(begin)) {
        Iterable<RawNumericMetric> metrics = dao.findRawMetrics(scheduleId, beginTime, endTime);
        return createRawComposites(metrics, beginTime, endTime, numberOfBuckets);
      }

      List<AggregateNumericMetric> metrics = null;
      if (dateTimeService.isIn1HourDataRange(begin)) {
        metrics = dao.findAggregateMetrics(scheduleId, Bucket.ONE_HOUR, beginTime, endTime);
        return createComposites(metrics, beginTime, endTime, numberOfBuckets);
      } else if (dateTimeService.isIn6HourDataRange(begin)) {
        metrics = dao.findAggregateMetrics(scheduleId, Bucket.SIX_HOUR, beginTime, endTime);
        return createComposites(metrics, beginTime, endTime, numberOfBuckets);
      } else if (dateTimeService.isIn24HourDataRange(begin)) {
        metrics = dao.findAggregateMetrics(scheduleId, Bucket.TWENTY_FOUR_HOUR, beginTime, endTime);
        return createComposites(metrics, beginTime, endTime, numberOfBuckets);
      } else {
        throw new IllegalArgumentException(
            "beginTime[" + beginTime + "] is outside the accepted range.");
      }
    } finally {
      stopwatch.stop();
      if (log.isDebugEnabled()) {
        log.debug(
            "Finished calculating resource summary aggregate in "
                + stopwatch.elapsed(TimeUnit.MILLISECONDS)
                + " ms");
      }
    }
  }
Exemplo n.º 2
0
  public AggregateNumericMetric getSummaryAggregate(int scheduleId, long beginTime, long endTime) {
    Stopwatch stopwatch = new Stopwatch().start();
    try {
      DateTime begin = new DateTime(beginTime);

      if (dateTimeService.isInRawDataRange(begin)) {
        Iterable<RawNumericMetric> metrics = dao.findRawMetrics(scheduleId, beginTime, endTime);
        return calculateAggregatedRaw(metrics, beginTime);
      }

      Bucket bucket = getBucket(begin);
      List<AggregateNumericMetric> metrics =
          dao.findAggregateMetrics(scheduleId, bucket, beginTime, endTime);
      return calculateAggregate(metrics, beginTime, bucket);
    } finally {
      stopwatch.stop();
      if (log.isDebugEnabled()) {
        log.debug(
            "Finished calculating resource summary aggregate for [scheduleId: "
                + scheduleId
                + ", beginTime: "
                + beginTime
                + ", endTime: "
                + endTime
                + "] in "
                + stopwatch.elapsed(TimeUnit.MILLISECONDS)
                + " ms");
      }
    }
  }