Example usage for java.util IntSummaryStatistics getCount

List of usage examples for java.util IntSummaryStatistics getCount

Introduction

In this page you can find the example usage for java.util IntSummaryStatistics getCount.

Prototype

public final long getCount() 

Source Link

Document

Returns the count of values recorded.

Usage

From source file:eu.cloudwave.wp5.feedbackhandler.aggregations.strategies.SimpleRequestAggregationStrategyImpl.java

/**
 * {@inheritDoc}//from w w  w . j a  v  a 2s .  co m
 */
@Override
public RequestAggregationValues aggregate(RequestCollector requests) {

    IntSummaryStatistics stats = requests.getReqTimestamps().stream()
            .collect(Collectors.groupingBy(
                    timestamp -> DateUtils.round(new Date(timestamp), timestampAggregation),
                    Collectors.counting()))
            .values().stream().mapToInt(p -> toInt(p)).summaryStatistics();

    return new RequestAggregationValuesImpl(stats.getMin(), stats.getMax(), stats.getAverage(), stats.getSum(),
            stats.getCount());
}

From source file:eu.cloudwave.wp5.feedbackhandler.aggregations.strategies.RequestAggregationStrategyImpl.java

/**
 * {@inheritDoc}// ww  w. ja  v  a  2 s .  c o  m
 */
@Override
public RequestAggregationValues aggregate(RequestCollector requests) {
    double expectedCount = getExpectedNumberOfMeasurementValueGroups();

    /*
     * Group by aggregation interval and create summary statistics with min, avg, max and count
     */
    Collection<Long> groupedByAggregationInterval = requests.getReqTimestamps().stream()
            .collect(Collectors.groupingBy(
                    timestamp -> DateUtils.round(new Date(timestamp), timestampAggregation),
                    Collectors.counting()))
            .values();
    int calculatedCount = groupedByAggregationInterval.size();

    try {
        if (calculatedCount != 0) {
            // use integer summaryStatistics to get min, avg, max
            IntSummaryStatistics stats = groupedByAggregationInterval.stream().mapToInt(p -> toInt(p))
                    .summaryStatistics();

            // no time range selected, just return int summary
            if (expectedCount == 0) {
                return new RequestAggregationValuesImpl(stats.getMin(), stats.getMax(), stats.getAverage(),
                        stats.getSum(), stats.getCount());
            } else {
                // if calculated count != expected count --> adjust minimum, average and count value
                if (Double.compare(calculatedCount, expectedCount) != 0) {
                    double newAverage = (double) (stats.getSum() / expectedCount);
                    return new RequestAggregationValuesImpl(0, stats.getMax(), newAverage, stats.getSum(),
                            (int) expectedCount);
                } else {
                    return new RequestAggregationValuesImpl(stats.getMin(), stats.getMax(), stats.getAverage(),
                            stats.getSum(), (int) expectedCount);
                }
            }
        } else {
            return new RequestAggregationValuesImpl(0, 0, 0, 0, 0);
        }
    } catch (ArithmeticException e) {
        System.out.println(e.getMessage());
        return new RequestAggregationValuesImpl(0, 0, 0, 0, 0);
    }
}