293 lines
10 KiB
Go
293 lines
10 KiB
Go
// Copyright The OpenTelemetry Authors
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package metricdata // import "go.opentelemetry.io/otel/sdk/metric/metricdata"
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import (
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"time"
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"go.opentelemetry.io/otel/attribute"
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"go.opentelemetry.io/otel/sdk/instrumentation"
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"go.opentelemetry.io/otel/sdk/resource"
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)
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// ResourceMetrics is a collection of ScopeMetrics and the associated Resource
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// that created them.
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type ResourceMetrics struct {
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// Resource represents the entity that collected the metrics.
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Resource *resource.Resource
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// ScopeMetrics are the collection of metrics with unique Scopes.
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ScopeMetrics []ScopeMetrics
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}
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// ScopeMetrics is a collection of Metrics Produces by a Meter.
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type ScopeMetrics struct {
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// Scope is the Scope that the Meter was created with.
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Scope instrumentation.Scope
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// Metrics are a list of aggregations created by the Meter.
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Metrics []Metrics
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}
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// Metrics is a collection of one or more aggregated timeseries from an Instrument.
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type Metrics struct {
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// Name is the name of the Instrument that created this data.
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Name string
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// Description is the description of the Instrument, which can be used in documentation.
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Description string
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// Unit is the unit in which the Instrument reports.
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Unit string
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// Data is the aggregated data from an Instrument.
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Data Aggregation
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}
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// Aggregation is the store of data reported by an Instrument.
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// It will be one of: Gauge, Sum, Histogram.
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type Aggregation interface {
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privateAggregation()
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}
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// Gauge represents a measurement of the current value of an instrument.
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type Gauge[N int64 | float64] struct {
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// DataPoints are the individual aggregated measurements with unique
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// Attributes.
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DataPoints []DataPoint[N]
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}
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func (Gauge[N]) privateAggregation() {}
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// Sum represents the sum of all measurements of values from an instrument.
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type Sum[N int64 | float64] struct {
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// DataPoints are the individual aggregated measurements with unique
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// Attributes.
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DataPoints []DataPoint[N]
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// Temporality describes if the aggregation is reported as the change from the
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// last report time, or the cumulative changes since a fixed start time.
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Temporality Temporality
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// IsMonotonic represents if this aggregation only increases or decreases.
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IsMonotonic bool
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}
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func (Sum[N]) privateAggregation() {}
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// DataPoint is a single data point in a timeseries.
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type DataPoint[N int64 | float64] struct {
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// Attributes is the set of key value pairs that uniquely identify the
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// timeseries.
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Attributes attribute.Set
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// StartTime is when the timeseries was started. (optional)
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StartTime time.Time `json:",omitempty"`
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// Time is the time when the timeseries was recorded. (optional)
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Time time.Time `json:",omitempty"`
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// Value is the value of this data point.
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Value N
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// Exemplars is the sampled Exemplars collected during the timeseries.
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Exemplars []Exemplar[N] `json:",omitempty"`
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}
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// Histogram represents the histogram of all measurements of values from an instrument.
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type Histogram[N int64 | float64] struct {
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// DataPoints are the individual aggregated measurements with unique
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// Attributes.
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DataPoints []HistogramDataPoint[N]
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// Temporality describes if the aggregation is reported as the change from the
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// last report time, or the cumulative changes since a fixed start time.
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Temporality Temporality
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}
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func (Histogram[N]) privateAggregation() {}
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// HistogramDataPoint is a single histogram data point in a timeseries.
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type HistogramDataPoint[N int64 | float64] struct {
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// Attributes is the set of key value pairs that uniquely identify the
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// timeseries.
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Attributes attribute.Set
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// StartTime is when the timeseries was started.
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StartTime time.Time
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// Time is the time when the timeseries was recorded.
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Time time.Time
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// Count is the number of updates this histogram has been calculated with.
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Count uint64
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// Bounds are the upper bounds of the buckets of the histogram. Because the
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// last boundary is +infinity this one is implied.
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Bounds []float64
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// BucketCounts is the count of each of the buckets.
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BucketCounts []uint64
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// Min is the minimum value recorded. (optional)
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Min Extrema[N]
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// Max is the maximum value recorded. (optional)
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Max Extrema[N]
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// Sum is the sum of the values recorded.
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Sum N
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// Exemplars is the sampled Exemplars collected during the timeseries.
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Exemplars []Exemplar[N] `json:",omitempty"`
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}
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// ExponentialHistogram represents the histogram of all measurements of values from an instrument.
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type ExponentialHistogram[N int64 | float64] struct {
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// DataPoints are the individual aggregated measurements with unique
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// attributes.
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DataPoints []ExponentialHistogramDataPoint[N]
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// Temporality describes if the aggregation is reported as the change from the
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// last report time, or the cumulative changes since a fixed start time.
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Temporality Temporality
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}
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func (ExponentialHistogram[N]) privateAggregation() {}
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// ExponentialHistogramDataPoint is a single exponential histogram data point in a timeseries.
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type ExponentialHistogramDataPoint[N int64 | float64] struct {
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// Attributes is the set of key value pairs that uniquely identify the
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// timeseries.
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Attributes attribute.Set
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// StartTime is when the timeseries was started.
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StartTime time.Time
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// Time is the time when the timeseries was recorded.
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Time time.Time
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// Count is the number of updates this histogram has been calculated with.
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Count uint64
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// Min is the minimum value recorded. (optional)
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Min Extrema[N]
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// Max is the maximum value recorded. (optional)
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Max Extrema[N]
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// Sum is the sum of the values recorded.
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Sum N
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// Scale describes the resolution of the histogram. Boundaries are
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// located at powers of the base, where:
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//
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// base = 2 ^ (2 ^ -Scale)
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Scale int32
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// ZeroCount is the number of values whose absolute value
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// is less than or equal to [ZeroThreshold].
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// When ZeroThreshold is 0, this is the number of values that
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// cannot be expressed using the standard exponential formula
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// as well as values that have been rounded to zero.
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// ZeroCount represents the special zero count bucket.
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ZeroCount uint64
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// PositiveBucket is range of positive value bucket counts.
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PositiveBucket ExponentialBucket
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// NegativeBucket is range of negative value bucket counts.
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NegativeBucket ExponentialBucket
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// ZeroThreshold is the width of the zero region. Where the zero region is
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// defined as the closed interval [-ZeroThreshold, ZeroThreshold].
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ZeroThreshold float64
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// Exemplars is the sampled Exemplars collected during the timeseries.
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Exemplars []Exemplar[N] `json:",omitempty"`
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}
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// ExponentialBucket are a set of bucket counts, encoded in a contiguous array
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// of counts.
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type ExponentialBucket struct {
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// Offset is the bucket index of the first entry in the Counts slice.
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Offset int32
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// Counts is an slice where Counts[i] carries the count of the bucket at
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// index (Offset+i). Counts[i] is the count of values greater than
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// base^(Offset+i) and less than or equal to base^(Offset+i+1).
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Counts []uint64
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}
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// Extrema is the minimum or maximum value of a dataset.
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type Extrema[N int64 | float64] struct {
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value N
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valid bool
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}
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// NewExtrema returns an Extrema set to v.
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func NewExtrema[N int64 | float64](v N) Extrema[N] {
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return Extrema[N]{value: v, valid: true}
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}
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// Value returns the Extrema value and true if the Extrema is defined.
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// Otherwise, if the Extrema is its zero-value, defined will be false.
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func (e Extrema[N]) Value() (v N, defined bool) {
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return e.value, e.valid
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}
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// Exemplar is a measurement sampled from a timeseries providing a typical
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// example.
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type Exemplar[N int64 | float64] struct {
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// FilteredAttributes are the attributes recorded with the measurement but
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// filtered out of the timeseries' aggregated data.
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FilteredAttributes []attribute.KeyValue
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// Time is the time when the measurement was recorded.
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Time time.Time
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// Value is the measured value.
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Value N
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// SpanID is the ID of the span that was active during the measurement. If
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// no span was active or the span was not sampled this will be empty.
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SpanID []byte `json:",omitempty"`
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// TraceID is the ID of the trace the active span belonged to during the
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// measurement. If no span was active or the span was not sampled this will
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// be empty.
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TraceID []byte `json:",omitempty"`
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}
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// Summary metric data are used to convey quantile summaries,
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// a Prometheus (see: https://prometheus.io/docs/concepts/metric_types/#summary)
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// data type.
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//
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// These data points cannot always be merged in a meaningful way. The Summary
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// type is only used by bridges from other metrics libraries, and cannot be
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// produced using OpenTelemetry instrumentation.
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type Summary struct {
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// DataPoints are the individual aggregated measurements with unique
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// attributes.
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DataPoints []SummaryDataPoint
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}
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func (Summary) privateAggregation() {}
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// SummaryDataPoint is a single data point in a timeseries that describes the
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// time-varying values of a Summary metric.
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type SummaryDataPoint struct {
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// Attributes is the set of key value pairs that uniquely identify the
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// timeseries.
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Attributes attribute.Set
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// StartTime is when the timeseries was started.
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StartTime time.Time
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// Time is the time when the timeseries was recorded.
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Time time.Time
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// Count is the number of updates this summary has been calculated with.
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Count uint64
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// Sum is the sum of the values recorded.
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Sum float64
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// (Optional) list of values at different quantiles of the distribution calculated
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// from the current snapshot. The quantiles must be strictly increasing.
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QuantileValues []QuantileValue
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}
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// QuantileValue is the value at a given quantile of a summary.
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type QuantileValue struct {
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// Quantile is the quantile of this value.
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//
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// Must be in the interval [0.0, 1.0].
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Quantile float64
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// Value is the value at the given quantile of a summary.
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//
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// Quantile values must NOT be negative.
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Value float64
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}
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