/** * Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be * redacted from this string using a placeholder value. */ @Override public String toString() { return ToString.builder("StatisticSet").add("SampleCount", sampleCount()).add("Sum", sum()).add("Minimum", minimum()) .add("Maximum", maximum()).build(); }
public <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) { switch (fieldName) { case "SampleCount": return Optional.ofNullable(clazz.cast(sampleCount())); case "Sum": return Optional.ofNullable(clazz.cast(sum())); case "Minimum": return Optional.ofNullable(clazz.cast(minimum())); case "Maximum": return Optional.ofNullable(clazz.cast(maximum())); default: return Optional.empty(); } }
public <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) { switch (fieldName) { case "SampleCount": return Optional.ofNullable(clazz.cast(sampleCount())); case "Sum": return Optional.ofNullable(clazz.cast(sum())); case "Minimum": return Optional.ofNullable(clazz.cast(minimum())); case "Maximum": return Optional.ofNullable(clazz.cast(maximum())); default: return Optional.empty(); } }
@Override public int hashCode() { int hashCode = 1; hashCode = 31 * hashCode + Objects.hashCode(sampleCount()); hashCode = 31 * hashCode + Objects.hashCode(sum()); hashCode = 31 * hashCode + Objects.hashCode(minimum()); hashCode = 31 * hashCode + Objects.hashCode(maximum()); return hashCode; }
/** * Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be * redacted from this string using a placeholder value. */ @Override public String toString() { return ToString.builder("StatisticSet").add("SampleCount", sampleCount()).add("Sum", sum()).add("Minimum", minimum()) .add("Maximum", maximum()).build(); }
@Override public int hashCode() { int hashCode = 1; hashCode = 31 * hashCode + Objects.hashCode(sampleCount()); hashCode = 31 * hashCode + Objects.hashCode(sum()); hashCode = 31 * hashCode + Objects.hashCode(minimum()); hashCode = 31 * hashCode + Objects.hashCode(maximum()); return hashCode; }
@Override public boolean equals(Object obj) { if (this == obj) { return true; } if (obj == null) { return false; } if (!(obj instanceof StatisticSet)) { return false; } StatisticSet other = (StatisticSet) obj; return Objects.equals(sampleCount(), other.sampleCount()) && Objects.equals(sum(), other.sum()) && Objects.equals(minimum(), other.minimum()) && Objects.equals(maximum(), other.maximum()); }
@Override public boolean equals(Object obj) { if (this == obj) { return true; } if (obj == null) { return false; } if (!(obj instanceof StatisticSet)) { return false; } StatisticSet other = (StatisticSet) obj; return Objects.equals(sampleCount(), other.sampleCount()) && Objects.equals(sum(), other.sum()) && Objects.equals(minimum(), other.minimum()) && Objects.equals(maximum(), other.maximum()); }
@Override public void end() { StringBuilder output = new StringBuilder(); output.append("Metrics:\n"); output.append("Dimensions: "); boolean needsComma = false; for (Dimension dimension : getDimensions()) { output.append(String.format("%s[%s: %s]", needsComma ? ", " : "", dimension.name(), dimension.value())); needsComma = true; } output.append("\n"); for (MetricDatum datum : data.values()) { StatisticSet statistics = datum.statisticValues(); output.append(String.format("Name=%25s\tMin=%.2f\tMax=%.2f\tCount=%.2f\tSum=%.2f\tAvg=%.2f\tUnit=%s\n", datum.metricName(), statistics.minimum(), statistics.maximum(), statistics.sampleCount(), statistics.sum(), statistics.sum() / statistics.sampleCount(), datum.unit())); } log.info(output.toString()); } }
@Override public void end() { StringBuilder output = new StringBuilder(); output.append("Metrics:\n"); output.append("Dimensions: "); boolean needsComma = false; for (Dimension dimension : getDimensions()) { output.append(String.format("%s[%s: %s]", needsComma ? ", " : "", dimension.name(), dimension.value())); needsComma = true; } output.append("\n"); for (MetricDatum datum : data.values()) { StatisticSet statistics = datum.statisticValues(); output.append(String.format("Name=%25s\tMin=%.2f\tMax=%.2f\tCount=%.2f\tSum=%.2f\tAvg=%.2f\tUnit=%s\n", datum.metricName(), statistics.minimum(), statistics.maximum(), statistics.sampleCount(), statistics.sum(), statistics.sum() / statistics.sampleCount(), datum.unit())); } log.info(output.toString()); } }
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); } }
.maximum(Math.max(value, oldStatisticSet.maximum())) .minimum(Math.min(value, oldStatisticSet.minimum())).sampleCount(oldStatisticSet.sampleCount() + 1) .sum(oldStatisticSet.sum() + value).build();
.maximum(Math.max(value, oldStatisticSet.maximum())) .minimum(Math.min(value, oldStatisticSet.minimum())).sampleCount(oldStatisticSet.sampleCount() + 1) .sum(oldStatisticSet.sum() + value).build();