Package com.amazonaws.services.cloudwatch.model

Examples of com.amazonaws.services.cloudwatch.model.StatisticSet

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    /**
     * @param rescale the submitted sum by this multiplier. 1.0 is the identity (no rescale).
     */
    private void sampling(DemuxedKey key, Sampling metric, double rescale, String type, Collection<MetricDatum> data) {
        Snapshot snapshot = metric.getSnapshot();
        data.add(key.newDatum(type).withStatisticValues(new StatisticSet()
                .withSum(sum(snapshot.getValues()) * rescale)
                .withSampleCount((double) snapshot.size())
                .withMinimum((double) snapshot.getMin())
                .withMaximum((double) snapshot.getMax())));
    }
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        if (statDatum == null) {
            statDatum = new MetricDatum()
                .withDimensions(datum.getDimensions())
                .withMetricName(metricName)
                .withUnit(datum.getUnit())
                .withStatisticValues(new StatisticSet()
                    .withMaximum(value)
                    .withMinimum(value)
                    .withSampleCount(0.0)
                    .withSum(0.0))
                ;
            uniqueMetrics.put(key, statDatum);
        }
        StatisticSet stat = statDatum.getStatisticValues();
        stat.setSampleCount(stat.getSampleCount() + 1.0);
        stat.setSum(stat.getSum() + value);
        if (value > stat.getMaximum()) {
            stat.setMaximum(value);
        } else if (value < stat.getMinimum()) {
            stat.setMinimum(value);
        }
    }
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        if (statDatum == null) {
            statDatum = new MetricDatum()
                .withDimensions(datum.getDimensions())
                .withMetricName(metricName)
                .withUnit(datum.getUnit())
                .withStatisticValues(new StatisticSet()
                    .withMaximum(value)
                    .withMinimum(value)
                    .withSampleCount(0.0)
                    .withSum(0.0))
                ;
            uniqueMetrics.put(key, statDatum);
        }
        StatisticSet stat = statDatum.getStatisticValues();
        stat.setSampleCount(stat.getSampleCount() + 1.0);
        stat.setSum(stat.getSum() + value);
        if (value > stat.getMaximum()) {
            stat.setMaximum(value);
        } else if (value < stat.getMinimum()) {
            stat.setMinimum(value);
        }
    }
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    private void accumulate(MetricDatum oldDatum, MetricDatum newDatum) {
        if (!oldDatum.getUnit().equals(newDatum.getUnit())) {
            throw new IllegalArgumentException("Unit mismatch for datum named " + oldDatum.getMetricName());
        }

        StatisticSet oldStats = oldDatum.getStatisticValues();
        StatisticSet newStats = newDatum.getStatisticValues();

        oldStats.setSampleCount(oldStats.getSampleCount() + newStats.getSampleCount());
        oldStats.setMaximum(Math.max(oldStats.getMaximum(), newStats.getMaximum()));
        oldStats.setMinimum(Math.min(oldStats.getMinimum(), newStats.getMinimum()));
        oldStats.setSum(oldStats.getSum() + newStats.getSum());
    }
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            needsComma = true;
        }
        output.append("\n");

        for (MetricDatum datum : data.values()) {
            StatisticSet statistics = datum.getStatisticValues();
            output.append(String.format("Name=%25s\tMin=%.2f\tMax=%.2f\tCount=%.2f\tSum=%.2f\tAvg=%.2f\tUnit=%s\n",
                    datum.getMetricName(),
                    statistics.getMinimum(),
                    statistics.getMaximum(),
                    statistics.getSampleCount(),
                    statistics.getSum(),
                    statistics.getSum() / statistics.getSampleCount(),
                    datum.getUnit()));
        }

        LOG.info(output.toString());
    }
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        MetricDatum datum = data.get(key);
        if (datum == null) {
            data.put(key,
                    new MetricDatum().withMetricName(name)
                            .withUnit(unit)
                            .withStatisticValues(new StatisticSet().withMaximum(value)
                                    .withMinimum(value)
                                    .withSampleCount(1.0)
                                    .withSum(value)));
        } else {
            if (!datum.getUnit().equals(unit.name())) {
                throw new IllegalArgumentException("Cannot add to existing metric with different unit");
            }

            StatisticSet statistics = datum.getStatisticValues();
            statistics.setMaximum(Math.max(value, statistics.getMaximum()));
            statistics.setMinimum(Math.min(value, statistics.getMinimum()));
            statistics.setSampleCount(statistics.getSampleCount() + 1);
            statistics.setSum(statistics.getSum() + value);
        }
    }
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     */
    void reportSampling(Map.Entry<String, ? extends Sampling> entry, String type, double rescale, List<MetricDatum> data) {
        Sampling metric = entry.getValue();
        Snapshot snapshot = metric.getSnapshot();
        double scaledSum = sum(snapshot.getValues()) * rescale;
        final StatisticSet statisticSet = new StatisticSet()
                .withSum(scaledSum)
                .withSampleCount((double) snapshot.size())
                .withMinimum((double) snapshot.getMin())
                .withMaximum((double) snapshot.getMax());

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     */
    void reportSampling(Map.Entry<String, ? extends Sampling> entry, String type, double rescale, List<MetricDatum> data) {
        Sampling metric = entry.getValue();
        Snapshot snapshot = metric.getSnapshot();
        double scaledSum = sum(snapshot.getValues()) * rescale;
        final StatisticSet statisticSet = new StatisticSet()
                .withSum(scaledSum)
                .withSampleCount((double) snapshot.size())
                .withMinimum((double) snapshot.getMin() * rescale)
                .withMaximum((double) snapshot.getMax() * rescale);

 
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        if (statDatum == null) {
            statDatum = new MetricDatum()
                .withDimensions(datum.getDimensions())
                .withMetricName(metricName)
                .withUnit(datum.getUnit())
                .withStatisticValues(new StatisticSet()
                    .withMaximum(value)
                    .withMinimum(value)
                    .withSampleCount(0.0)
                    .withSum(0.0))
                ;
            uniqueMetrics.put(key, statDatum);
        }
        StatisticSet stat = statDatum.getStatisticValues();
        stat.setSampleCount(stat.getSampleCount() + 1.0);
        stat.setSum(stat.getSum() + value);
        if (value > stat.getMaximum()) {
            stat.setMaximum(value);
        } else if (value < stat.getMinimum()) {
            stat.setMinimum(value);
        }
    }
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        if (statDatum == null) {
            statDatum = new MetricDatum()
                .withDimensions(datum.getDimensions())
                .withMetricName(metricName)
                .withUnit(datum.getUnit())
                .withStatisticValues(new StatisticSet()
                    .withMaximum(value)
                    .withMinimum(value)
                    .withSampleCount(0.0)
                    .withSum(0.0))
                ;
            uniqueMetrics.put(key, statDatum);
        }
        StatisticSet stat = statDatum.getStatisticValues();
        stat.setSampleCount(stat.getSampleCount() + 1.0);
        stat.setSum(stat.getSum() + value);
        if (value > stat.getMaximum()) {
            stat.setMaximum(value);
        } else if (value < stat.getMinimum()) {
            stat.setMinimum(value);
        }
    }
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Related Classes of com.amazonaws.services.cloudwatch.model.StatisticSet

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  • com.amazonaws.services.kinesis.metrics.impl.MetricAccumulatingQueue
  • com.blacklocus.metrics.CloudWatchReporter
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