/** * Once we call this method, all MetricDatums added to the scope will be enqueued to the publisher runnable. * We enqueue MetricDatumWithKey because the publisher will aggregate similar metrics (i.e. MetricDatum with the * same metricName) in the background thread. Hence aggregation using MetricDatumWithKey will be especially useful * when aggregating across multiple MetricScopes. */ @Override public void end() { super.end(); final List<MetricDatumWithKey<CloudWatchMetricKey>> dataWithKeys = data.values().stream() .map(metricDatum -> metricDatum.toBuilder().dimensions(getDimensions()).build()) .map(metricDatum -> new MetricDatumWithKey<>(new CloudWatchMetricKey(metricDatum), metricDatum)) .collect(Collectors.toList()); publisher.enqueue(dataWithKeys); }
/** * Once we call this method, all MetricDatums added to the scope will be enqueued to the publisher runnable. * We enqueue MetricDatumWithKey because the publisher will aggregate similar metrics (i.e. MetricDatum with the * same metricName) in the background thread. Hence aggregation using MetricDatumWithKey will be especially useful * when aggregating across multiple MetricScopes. */ @Override public void end() { super.end(); final List<MetricDatumWithKey<CloudWatchMetricKey>> dataWithKeys = data.values().stream() .map(metricDatum -> metricDatum.toBuilder().dimensions(getDimensions()).build()) .map(metricDatum -> new MetricDatumWithKey<>(new CloudWatchMetricKey(metricDatum), metricDatum)) .collect(Collectors.toList()); publisher.enqueue(dataWithKeys); }
private void accumulate(MetricDatumWithKey<KeyType> metricDatumWithKey, MetricDatum newDatum) { MetricDatum oldDatum = metricDatumWithKey.datum; if (!oldDatum.unit().equals(newDatum.unit())) { throw new IllegalArgumentException("Unit mismatch for datum named " + oldDatum.metricName()); } StatisticSet oldStats = oldDatum.statisticValues(); StatisticSet newStats = newDatum.statisticValues(); StatisticSet statisticSet = oldStats.toBuilder().sum(oldStats.sum() + newStats.sum()) .minimum(Math.min(oldStats.minimum(), newStats.minimum())) .maximum(Math.max(oldStats.maximum(), newStats.maximum())) .sampleCount(oldStats.sampleCount() + newStats.sampleCount()).build(); MetricDatum datum = oldDatum.toBuilder().statisticValues(statisticSet).build(); metricDatumWithKey.datum(datum); } }
private void accumulate(MetricDatumWithKey<KeyType> metricDatumWithKey, MetricDatum newDatum) { MetricDatum oldDatum = metricDatumWithKey.datum; if (!oldDatum.unit().equals(newDatum.unit())) { throw new IllegalArgumentException("Unit mismatch for datum named " + oldDatum.metricName()); } StatisticSet oldStats = oldDatum.statisticValues(); StatisticSet newStats = newDatum.statisticValues(); StatisticSet statisticSet = oldStats.toBuilder().sum(oldStats.sum() + newStats.sum()) .minimum(Math.min(oldStats.minimum(), newStats.minimum())) .maximum(Math.max(oldStats.maximum(), newStats.maximum())) .sampleCount(oldStats.sampleCount() + newStats.sampleCount()).build(); MetricDatum datum = oldDatum.toBuilder().statisticValues(statisticSet).build(); metricDatumWithKey.datum(datum); } }
.sum(oldStatisticSet.sum() + value).build(); metricDatum = datum.toBuilder().statisticValues(statisticSet).build();
.sum(oldStatisticSet.sum() + value).build(); metricDatum = datum.toBuilder().statisticValues(statisticSet).build();