org.apache.rocketmq.shaded.io.opentelemetry.sdk.metrics.internal.data.exponentialhistogram.ExponentialHistogramPointData Maven / Gradle / Ivy
/*
* Copyright The OpenTelemetry Authors
* SPDX-License-Identifier: Apache-2.0
*/
package org.apache.rocketmq.shaded.io.opentelemetry.sdk.metrics.internal.data.exponentialhistogram;
import org.apache.rocketmq.shaded.io.opentelemetry.api.common.Attributes;
import org.apache.rocketmq.shaded.io.opentelemetry.sdk.metrics.data.DoubleExemplarData;
import org.apache.rocketmq.shaded.io.opentelemetry.sdk.metrics.data.PointData;
import java.util.List;
import javax.annotation.concurrent.Immutable;
/**
* ExponentialHistogramPointData represents an approximate distribution of measurements across
* exponentially increasing bucket boundaries, taken for a {@link ExponentialHistogramData}. It
* contains the necessary information to calculate bucket boundaries and perform aggregation.
*
* The bucket boundaries are calculated using both the scale {@link #getScale()}, and the offset
* {@link ExponentialHistogramBuckets#getOffset()}.
*
*
See:
* https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/metrics/datamodel.md#exponentialhistogram
*
*
This class is internal and is hence not for public use. Its APIs are unstable and can change
* at any time.
*/
@Immutable
public interface ExponentialHistogramPointData extends PointData {
/**
* Create an ExponentialHistogramPointData.
*
* @return an ExponentialHistogramPointData.
*/
static ExponentialHistogramPointData create(
int scale,
double sum,
long zeroCount,
ExponentialHistogramBuckets positiveBuckets,
ExponentialHistogramBuckets negativeBuckets,
long startEpochNanos,
long epochNanos,
Attributes attributes,
List exemplars) {
return ImmutableExponentialHistogramPointData.create(
scale,
sum,
zeroCount,
positiveBuckets,
negativeBuckets,
startEpochNanos,
epochNanos,
attributes,
exemplars);
}
/**
* Scale characterises the resolution of the histogram, with larger values of scale offering
* greater precision. Bucket boundaries of the histogram are located at integer powers of the
* base, where base = Math.pow(2, Math.pow(2, -scale)).
*
* @return the scale.
*/
int getScale();
/**
* Returns the sum of all measurements in the data point. The sum should be disregarded if there
* are both positive and negative measurements.
*
* @return the sum of all measurements in this data point.
*/
double getSum();
/**
* Returns the number of measurements taken for this data point, including the positive bucket
* counts, negative bucket counts, and the zero count.
*
* @return the number of measurements in this data point.
*/
long getCount();
/**
* Returns the number of measurements equal to zero in this data point.
*
* @return the number of values equal to zero.
*/
long getZeroCount();
/**
* Return the {@link ExponentialHistogramBuckets} representing the positive measurements taken for
* this histogram.
*
* @return the positive buckets.
*/
ExponentialHistogramBuckets getPositiveBuckets();
/**
* Return the {@link ExponentialHistogramBuckets} representing the negative measurements taken for
* this histogram.
*
* @return the negative buckets.
*/
ExponentialHistogramBuckets getNegativeBuckets();
/** List of exemplars collected from measurements that were used to form the data point. */
@Override
List getExemplars();
}