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- // Copyright 2018, OpenCensus Authors
- //
- // Licensed under the Apache License, Version 2.0 (the "License");
- // you may not use this file except in compliance with the License.
- // You may obtain a copy of the License at
- //
- // http://www.apache.org/licenses/LICENSE-2.0
- //
- // Unless required by applicable law or agreed to in writing, software
- // distributed under the License is distributed on an "AS IS" BASIS,
- // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- // See the License for the specific language governing permissions and
- // limitations under the License.
- package metricdata
- import (
- "time"
- )
- // Point is a single data point of a time series.
- type Point struct {
- // Time is the point in time that this point represents in a time series.
- Time time.Time
- // Value is the value of this point. Prefer using ReadValue to switching on
- // the value type, since new value types might be added.
- Value interface{}
- }
- //go:generate stringer -type ValueType
- // NewFloat64Point creates a new Point holding a float64 value.
- func NewFloat64Point(t time.Time, val float64) Point {
- return Point{
- Value: val,
- Time: t,
- }
- }
- // NewInt64Point creates a new Point holding an int64 value.
- func NewInt64Point(t time.Time, val int64) Point {
- return Point{
- Value: val,
- Time: t,
- }
- }
- // NewDistributionPoint creates a new Point holding a Distribution value.
- func NewDistributionPoint(t time.Time, val *Distribution) Point {
- return Point{
- Value: val,
- Time: t,
- }
- }
- // NewSummaryPoint creates a new Point holding a Summary value.
- func NewSummaryPoint(t time.Time, val *Summary) Point {
- return Point{
- Value: val,
- Time: t,
- }
- }
- // ValueVisitor allows reading the value of a point.
- type ValueVisitor interface {
- VisitFloat64Value(float64)
- VisitInt64Value(int64)
- VisitDistributionValue(*Distribution)
- VisitSummaryValue(*Summary)
- }
- // ReadValue accepts a ValueVisitor and calls the appropriate method with the
- // value of this point.
- // Consumers of Point should use this in preference to switching on the type
- // of the value directly, since new value types may be added.
- func (p Point) ReadValue(vv ValueVisitor) {
- switch v := p.Value.(type) {
- case int64:
- vv.VisitInt64Value(v)
- case float64:
- vv.VisitFloat64Value(v)
- case *Distribution:
- vv.VisitDistributionValue(v)
- case *Summary:
- vv.VisitSummaryValue(v)
- default:
- panic("unexpected value type")
- }
- }
- // Distribution contains summary statistics for a population of values. It
- // optionally contains a histogram representing the distribution of those
- // values across a set of buckets.
- type Distribution struct {
- // Count is the number of values in the population. Must be non-negative. This value
- // must equal the sum of the values in bucket_counts if a histogram is
- // provided.
- Count int64
- // Sum is the sum of the values in the population. If count is zero then this field
- // must be zero.
- Sum float64
- // SumOfSquaredDeviation is the sum of squared deviations from the mean of the values in the
- // population. For values x_i this is:
- //
- // Sum[i=1..n]((x_i - mean)^2)
- //
- // Knuth, "The Art of Computer Programming", Vol. 2, page 323, 3rd edition
- // describes Welford's method for accumulating this sum in one pass.
- //
- // If count is zero then this field must be zero.
- SumOfSquaredDeviation float64
- // BucketOptions describes the bounds of the histogram buckets in this
- // distribution.
- //
- // A Distribution may optionally contain a histogram of the values in the
- // population.
- //
- // If nil, there is no associated histogram.
- BucketOptions *BucketOptions
- // Bucket If the distribution does not have a histogram, then omit this field.
- // If there is a histogram, then the sum of the values in the Bucket counts
- // must equal the value in the count field of the distribution.
- Buckets []Bucket
- }
- // BucketOptions describes the bounds of the histogram buckets in this
- // distribution.
- type BucketOptions struct {
- // Bounds specifies a set of bucket upper bounds.
- // This defines len(bounds) + 1 (= N) buckets. The boundaries for bucket
- // index i are:
- //
- // [0, Bounds[i]) for i == 0
- // [Bounds[i-1], Bounds[i]) for 0 < i < N-1
- // [Bounds[i-1], +infinity) for i == N-1
- Bounds []float64
- }
- // Bucket represents a single bucket (value range) in a distribution.
- type Bucket struct {
- // Count is the number of values in each bucket of the histogram, as described in
- // bucket_bounds.
- Count int64
- // Exemplar associated with this bucket (if any).
- Exemplar *Exemplar
- }
- // Summary is a representation of percentiles.
- type Summary struct {
- // Count is the cumulative count (if available).
- Count int64
- // Sum is the cumulative sum of values (if available).
- Sum float64
- // HasCountAndSum is true if Count and Sum are available.
- HasCountAndSum bool
- // Snapshot represents percentiles calculated over an arbitrary time window.
- // The values in this struct can be reset at arbitrary unknown times, with
- // the requirement that all of them are reset at the same time.
- Snapshot Snapshot
- }
- // Snapshot represents percentiles over an arbitrary time.
- // The values in this struct can be reset at arbitrary unknown times, with
- // the requirement that all of them are reset at the same time.
- type Snapshot struct {
- // Count is the number of values in the snapshot. Optional since some systems don't
- // expose this. Set to 0 if not available.
- Count int64
- // Sum is the sum of values in the snapshot. Optional since some systems don't
- // expose this. If count is 0 then this field must be zero.
- Sum float64
- // Percentiles is a map from percentile (range (0-100.0]) to the value of
- // the percentile.
- Percentiles map[float64]float64
- }
- //go:generate stringer -type Type
- // Type is the overall type of metric, including its value type and whether it
- // represents a cumulative total (since the start time) or if it represents a
- // gauge value.
- type Type int
- // Metric types.
- const (
- TypeGaugeInt64 Type = iota
- TypeGaugeFloat64
- TypeGaugeDistribution
- TypeCumulativeInt64
- TypeCumulativeFloat64
- TypeCumulativeDistribution
- TypeSummary
- )
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