io.opentelemetry.sdk.metrics.internal.exemplar.ExemplarReservoir Maven / Gradle / Ivy
/*
* Copyright The OpenTelemetry Authors
* SPDX-License-Identifier: Apache-2.0
*/
package io.opentelemetry.sdk.metrics.internal.exemplar;
import io.opentelemetry.api.common.Attributes;
import io.opentelemetry.context.Context;
import io.opentelemetry.sdk.common.Clock;
import io.opentelemetry.sdk.metrics.data.DoubleExemplarData;
import io.opentelemetry.sdk.metrics.data.ExemplarData;
import io.opentelemetry.sdk.metrics.data.LongExemplarData;
import java.util.List;
import java.util.Random;
import java.util.function.Supplier;
/**
* An interface for an exemplar reservoir of samples.
*
* This represents a reservoir for a specific "point" of metric data.
*
*
This class is internal and is hence not for public use. Its APIs are unstable and can change
* at any time.
*/
public interface ExemplarReservoir {
/** Wraps a {@link ExemplarReservoir} with a measurement pre-filter. */
static ExemplarReservoir filtered(
ExemplarFilter filter, ExemplarReservoir original) {
return new FilteredExemplarReservoir<>(filter, original);
}
/** A double exemplar reservoir that stores no exemplars. */
static ExemplarReservoir doubleNoSamples() {
return NoopExemplarReservoir.DOUBLE_INSTANCE;
}
/** A long exemplar reservoir that stores no exemplars. */
static ExemplarReservoir longNoSamples() {
return NoopExemplarReservoir.LONG_INSTANCE;
}
/**
* A double reservoir with fixed size that stores the given number of exemplars.
*
* @param clock The clock to use when annotating measurements with time.
* @param size The maximum number of exemplars to preserve.
* @param randomSupplier The random number generator to use for sampling.
*/
static ExemplarReservoir doubleFixedSizeReservoir(
Clock clock, int size, Supplier randomSupplier) {
return RandomFixedSizeExemplarReservoir.createDouble(clock, size, randomSupplier);
}
/**
* A long reservoir with fixed size that stores the given number of exemplars.
*
* @param clock The clock to use when annotating measurements with time.
* @param size The maximum number of exemplars to preserve.
* @param randomSupplier The random number generator to use for sampling.
*/
static ExemplarReservoir longFixedSizeReservoir(
Clock clock, int size, Supplier randomSupplier) {
return RandomFixedSizeExemplarReservoir.createLong(clock, size, randomSupplier);
}
/**
* A Reservoir sampler that preserves the latest seen measurement per-histogram bucket.
*
* @param clock The clock to use when annotating measurements with time.
* @param boundaries A list of (inclusive) upper bounds for the histogram. Should be in order from
* lowest to highest.
*/
static ExemplarReservoir histogramBucketReservoir(
Clock clock, List boundaries) {
return new HistogramExemplarReservoir(clock, boundaries);
}
/** Offers a {@code double} measurement to be sampled. */
void offerDoubleMeasurement(double value, Attributes attributes, Context context);
/** Offers a {@code long} measurement to be sampled. */
void offerLongMeasurement(long value, Attributes attributes, Context context);
/**
* Returns an immutable list of Exemplars for exporting from the current reservoir.
*
* Additionally, clears the reservoir for the next sampling period.
*
* @param pointAttributes the {@link Attributes} associated with the metric point. {@link
* ExemplarData}s should filter these out of their final data state.
* @return An (immutable) list of sampled exemplars for this point. Implementers are expected to
* filter out {@code pointAttributes} from the original recorded attributes.
*/
List collectAndReset(Attributes pointAttributes);
}