use of io.opencensus.metrics.export.Point in project instrumentation-java by census-instrumentation.
the class DropWizardMetrics method collectSnapshotAndCount.
/**
* Returns a {@code Metric} collected from {@link Snapshot}.
*
* @param metricName the metric name.
* @param metricDescription the metric description.
* @param labelKeys metric label keys
* @param labelValues metric label values
* @param codahaleSnapshot the snapshot object to collect
* @param count the value or count
* @return a {@code Metric}.
*/
private Metric collectSnapshotAndCount(String metricName, String metricDescription, List<LabelKey> labelKeys, List<LabelValue> labelValues, String unit, io.dropwizard.metrics5.Snapshot codahaleSnapshot, long count) {
List<ValueAtPercentile> valueAtPercentiles = Arrays.asList(ValueAtPercentile.create(50.0, codahaleSnapshot.getMedian()), ValueAtPercentile.create(75.0, codahaleSnapshot.get75thPercentile()), ValueAtPercentile.create(98.0, codahaleSnapshot.get98thPercentile()), ValueAtPercentile.create(99.0, codahaleSnapshot.get99thPercentile()), ValueAtPercentile.create(99.9, codahaleSnapshot.get999thPercentile()));
Snapshot snapshot = Snapshot.create((long) codahaleSnapshot.size(), 0.0, valueAtPercentiles);
Point point = Point.create(Value.summaryValue(Summary.create(count, 0.0, snapshot)), clock.now());
// TODO(mayurkale): OPTIMIZATION: Cache the MetricDescriptor objects.
MetricDescriptor metricDescriptor = MetricDescriptor.create(metricName, metricDescription, unit, Type.SUMMARY, labelKeys);
TimeSeries timeSeries = TimeSeries.createWithOnePoint(labelValues, point, cumulativeStartTimestamp);
return Metric.createWithOneTimeSeries(metricDescriptor, timeSeries);
}
use of io.opencensus.metrics.export.Point in project instrumentation-java by census-instrumentation.
the class SignalFxSessionAdaptor method adapt.
/**
* Converts the given Metric into datapoints that can be sent to SignalFx.
*
* @param metric The {@link Metric} containing the timeseries of each combination of label values.
* @return A list of datapoints for the corresponding metric timeseries of this metric.
*/
static List<DataPoint> adapt(Metric metric) {
MetricDescriptor metricDescriptor = metric.getMetricDescriptor();
MetricType metricType = getType(metricDescriptor.getType());
if (metricType == null) {
return Collections.emptyList();
}
DataPoint.Builder shared = DataPoint.newBuilder();
shared.setMetric(metricDescriptor.getName());
shared.setMetricType(metricType);
ArrayList<DataPoint> datapoints = Lists.newArrayList();
for (TimeSeries timeSeries : metric.getTimeSeriesList()) {
DataPoint.Builder builder = shared.clone();
builder.addAllDimensions(createDimensions(metricDescriptor.getLabelKeys(), timeSeries.getLabelValues()));
List<Point> points = timeSeries.getPoints();
datapoints.ensureCapacity(datapoints.size() + points.size());
for (Point point : points) {
datapoints.add(builder.setValue(createDatum(point.getValue())).build());
}
}
return datapoints;
}
use of io.opencensus.metrics.export.Point in project instrumentation-java by census-instrumentation.
the class DropWizardMetrics method collectSnapshotAndCount.
/**
* Returns a {@code Metric} collected from {@link Snapshot}.
*
* @param metricName the metric name.
* @param metricDescription the metric description.
* @param unit the metric descriptor unit.
* @param codahaleSnapshot the snapshot object to collect
* @param count the value or count
* @return a {@code Metric}.
*/
private Metric collectSnapshotAndCount(String metricName, String metricDescription, String unit, com.codahale.metrics.Snapshot codahaleSnapshot, long count) {
List<ValueAtPercentile> valueAtPercentiles = Arrays.asList(ValueAtPercentile.create(50.0, codahaleSnapshot.getMedian()), ValueAtPercentile.create(75.0, codahaleSnapshot.get75thPercentile()), ValueAtPercentile.create(98.0, codahaleSnapshot.get98thPercentile()), ValueAtPercentile.create(99.0, codahaleSnapshot.get99thPercentile()), ValueAtPercentile.create(99.9, codahaleSnapshot.get999thPercentile()));
Snapshot snapshot = Snapshot.create((long) codahaleSnapshot.size(), 0.0, valueAtPercentiles);
Point point = Point.create(Value.summaryValue(Summary.create(count, 0.0, snapshot)), clock.now());
// TODO(mayurkale): OPTIMIZATION: Cache the MetricDescriptor objects.
MetricDescriptor metricDescriptor = MetricDescriptor.create(metricName, metricDescription, unit, Type.SUMMARY, Collections.<LabelKey>emptyList());
TimeSeries timeSeries = TimeSeries.createWithOnePoint(Collections.<LabelValue>emptyList(), point, cumulativeStartTimestamp);
return Metric.createWithOneTimeSeries(metricDescriptor, timeSeries);
}
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