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opentelemetry-go/sdk/metric/aggregator/histogram/histogram.go

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// Copyright 2020, OpenTelemetry 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 histogram // import "go.opentelemetry.io/otel/sdk/metric/aggregator/histogram"
import (
"context"
"sort"
"go.opentelemetry.io/otel/api/core"
export "go.opentelemetry.io/otel/sdk/export/metric"
"go.opentelemetry.io/otel/sdk/export/metric/aggregator"
"go.opentelemetry.io/otel/sdk/internal"
)
type (
// Aggregator observe events and counts them in pre-determined buckets.
// It also calculates the sum and count of all events.
Aggregator struct {
// This aggregator uses the StateLocker that enables a lock-free Update()
// in exchange of a blocking and consistent Checkpoint(). Since Checkpoint()
// is called by the sdk itself and it is not part of a hot path,
// the user is not impacted by these blocking calls.
//
// The algorithm keeps two states. At every instance of time there exist one current state,
// in which new updates are aggregated, and one checkpoint state, that represents the state
// since the last Checkpoint(). These states are swapped when a `Checkpoint()` occur.
// states needs to be aligned for 64-bit atomic operations.
states [2]state
lock internal.StateLocker
boundaries []core.Number
kind core.NumberKind
}
// state represents the state of a histogram, consisting of
// the sum and counts for all observed values and
// the less than equal bucket count for the pre-determined boundaries.
state struct {
// all fields have to be aligned for 64-bit atomic operations.
buckets aggregator.Buckets
count core.Number
sum core.Number
}
)
var _ export.Aggregator = &Aggregator{}
var _ aggregator.Sum = &Aggregator{}
var _ aggregator.Count = &Aggregator{}
var _ aggregator.Histogram = &Aggregator{}
// New returns a new measure aggregator for computing Histograms.
//
// A Histogram observe events and counts them in pre-defined buckets.
// And also provides the total sum and count of all observations.
//
// Note that this aggregator maintains each value using independent
// atomic operations, which introduces the possibility that
// checkpoints are inconsistent.
func New(desc *export.Descriptor, boundaries []core.Number) *Aggregator {
// Boundaries MUST be ordered otherwise the histogram could not
// be properly computed.
sortedBoundaries := numbers{
numbers: make([]core.Number, len(boundaries)),
kind: desc.NumberKind(),
}
copy(sortedBoundaries.numbers, boundaries)
sort.Sort(&sortedBoundaries)
boundaries = sortedBoundaries.numbers
agg := Aggregator{
kind: desc.NumberKind(),
boundaries: boundaries,
states: [2]state{
{
buckets: aggregator.Buckets{
Boundaries: boundaries,
Counts: make([]core.Number, len(boundaries)+1),
},
},
{
buckets: aggregator.Buckets{
Boundaries: boundaries,
Counts: make([]core.Number, len(boundaries)+1),
},
},
},
}
return &agg
}
// Sum returns the sum of all values in the checkpoint.
func (c *Aggregator) Sum() (core.Number, error) {
c.lock.Lock()
defer c.lock.Unlock()
return c.checkpoint().sum, nil
}
// Count returns the number of values in the checkpoint.
func (c *Aggregator) Count() (int64, error) {
c.lock.Lock()
defer c.lock.Unlock()
return int64(c.checkpoint().count), nil
}
// Histogram returns the count of events in pre-determined buckets.
func (c *Aggregator) Histogram() (aggregator.Buckets, error) {
c.lock.Lock()
defer c.lock.Unlock()
return c.checkpoint().buckets, nil
}
// Checkpoint saves the current state and resets the current state to
// the empty set. Since no locks are taken, there is a chance that
// the independent Sum, Count and Bucket Count are not consistent with each
// other.
func (c *Aggregator) Checkpoint(ctx context.Context, desc *export.Descriptor) {
c.lock.SwapActiveState(c.resetCheckpoint)
}
// checkpoint returns the checkpoint state by inverting the lower bit of generationAndHotIdx.
func (c *Aggregator) checkpoint() *state {
return &c.states[c.lock.ColdIdx()]
}
func (c *Aggregator) resetCheckpoint() {
checkpoint := c.checkpoint()
checkpoint.count.SetUint64(0)
checkpoint.sum.SetNumber(core.Number(0))
checkpoint.buckets.Counts = make([]core.Number, len(checkpoint.buckets.Counts))
}
// Update adds the recorded measurement to the current data set.
func (c *Aggregator) Update(_ context.Context, number core.Number, desc *export.Descriptor) error {
kind := desc.NumberKind()
cIdx := c.lock.Start()
defer c.lock.End(cIdx)
current := &c.states[cIdx]
current.count.AddUint64Atomic(1)
current.sum.AddNumberAtomic(kind, number)
for i, boundary := range c.boundaries {
if number.CompareNumber(kind, boundary) < 0 {
current.buckets.Counts[i].AddUint64Atomic(1)
return nil
}
}
// Observed event is bigger than all defined boundaries.
current.buckets.Counts[len(c.boundaries)].AddUint64Atomic(1)
return nil
}
// Merge combines two histograms that have the same buckets into a single one.
func (c *Aggregator) Merge(oa export.Aggregator, desc *export.Descriptor) error {
o, _ := oa.(*Aggregator)
if o == nil {
return aggregator.NewInconsistentMergeError(c, oa)
}
// Lock() synchronize Merge() and Checkpoint() to make sure all operations of
// Merge() is done to the same state.
c.lock.Lock()
defer c.lock.Unlock()
current := c.checkpoint()
// We assume that the aggregator being merged is not being updated nor checkpointed or this could be inconsistent.
ocheckpoint := o.checkpoint()
current.sum.AddNumber(desc.NumberKind(), ocheckpoint.sum)
current.count.AddNumber(core.Uint64NumberKind, ocheckpoint.count)
for i := 0; i < len(current.buckets.Counts); i++ {
current.buckets.Counts[i].AddNumber(core.Uint64NumberKind, ocheckpoint.buckets.Counts[i])
}
return nil
}
// numbers is an auxiliary struct to order histogram bucket boundaries (slice of core.Number)
type numbers struct {
numbers []core.Number
kind core.NumberKind
}
var _ sort.Interface = (*numbers)(nil)
func (n *numbers) Len() int {
return len(n.numbers)
}
func (n *numbers) Less(i, j int) bool {
return -1 == n.numbers[i].CompareNumber(n.kind, n.numbers[j])
}
func (n *numbers) Swap(i, j int) {
n.numbers[i], n.numbers[j] = n.numbers[j], n.numbers[i]
}