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dd094e4012
* chore: update otel dependencies * refactor: combine tracing & metrics in observability package * chore: update example tracing compose file
71 lines
2.1 KiB
Go
71 lines
2.1 KiB
Go
// Copyright The OpenTelemetry Authors
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// SPDX-License-Identifier: Apache-2.0
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package exemplar // import "go.opentelemetry.io/otel/sdk/metric/exemplar"
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import (
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"context"
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"slices"
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"sort"
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"time"
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"go.opentelemetry.io/otel/attribute"
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)
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// HistogramReservoirProvider is a provider of [HistogramReservoir].
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func HistogramReservoirProvider(bounds []float64) ReservoirProvider {
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cp := slices.Clone(bounds)
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slices.Sort(cp)
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return func(_ attribute.Set) Reservoir {
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return NewHistogramReservoir(cp)
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}
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}
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// NewHistogramReservoir returns a [HistogramReservoir] that samples the last
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// measurement that falls within a histogram bucket. The histogram bucket
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// upper-boundaries are define by bounds.
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//
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// The passed bounds must be sorted before calling this function.
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func NewHistogramReservoir(bounds []float64) *HistogramReservoir {
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return &HistogramReservoir{
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bounds: bounds,
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storage: newStorage(len(bounds) + 1),
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}
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}
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var _ Reservoir = &HistogramReservoir{}
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// HistogramReservoir is a [Reservoir] that samples the last measurement that
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// falls within a histogram bucket. The histogram bucket upper-boundaries are
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// define by bounds.
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type HistogramReservoir struct {
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*storage
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// bounds are bucket bounds in ascending order.
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bounds []float64
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}
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// Offer accepts the parameters associated with a measurement. The
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// parameters will be stored as an exemplar if the Reservoir decides to
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// sample the measurement.
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//
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// The passed ctx needs to contain any baggage or span that were active
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// when the measurement was made. This information may be used by the
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// Reservoir in making a sampling decision.
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//
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// The time t is the time when the measurement was made. The v and a
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// parameters are the value and dropped (filtered) attributes of the
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// measurement respectively.
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func (r *HistogramReservoir) Offer(ctx context.Context, t time.Time, v Value, a []attribute.KeyValue) {
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var x float64
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switch v.Type() {
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case Int64ValueType:
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x = float64(v.Int64())
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case Float64ValueType:
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x = v.Float64()
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default:
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panic("unknown value type")
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}
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r.store[sort.SearchFloat64s(r.bounds, x)] = newMeasurement(ctx, t, v, a)
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}
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