mirror of
https://github.com/ceph/ceph-csi.git
synced 2024-11-22 22:30:23 +00:00
e3bf375035
update kubernetes to latest v1.25.0 release. Signed-off-by: Madhu Rajanna <madhupr007@gmail.com>
190 lines
5.4 KiB
Go
190 lines
5.4 KiB
Go
/*
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Copyright 2022 The Kubernetes Authors.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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*/
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package prometheusextension
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import (
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"errors"
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"time"
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"github.com/prometheus/client_golang/prometheus"
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dto "github.com/prometheus/client_model/go"
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)
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// GaugeOps is the part of `prometheus.Gauge` that is relevant to
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// instrumented code.
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// This factoring should be in prometheus, analogous to the way
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// it already factors out the Observer interface for histograms and summaries.
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type GaugeOps interface {
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// Set is the same as Gauge.Set
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Set(float64)
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// Inc is the same as Gauge.inc
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Inc()
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// Dec is the same as Gauge.Dec
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Dec()
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// Add is the same as Gauge.Add
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Add(float64)
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// Sub is the same as Gauge.Sub
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Sub(float64)
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// SetToCurrentTime the same as Gauge.SetToCurrentTime
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SetToCurrentTime()
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}
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// A TimingHistogram tracks how long a `float64` variable spends in
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// ranges defined by buckets. Time is counted in nanoseconds. The
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// histogram's sum is the integral over time (in nanoseconds, from
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// creation of the histogram) of the variable's value.
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type TimingHistogram interface {
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prometheus.Metric
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prometheus.Collector
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GaugeOps
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}
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// TimingHistogramOpts is the parameters of the TimingHistogram constructor
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type TimingHistogramOpts struct {
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Namespace string
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Subsystem string
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Name string
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Help string
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ConstLabels prometheus.Labels
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// Buckets defines the buckets into which observations are
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// accumulated. Each element in the slice is the upper
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// inclusive bound of a bucket. The values must be sorted in
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// strictly increasing order. There is no need to add a
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// highest bucket with +Inf bound. The default value is
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// prometheus.DefBuckets.
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Buckets []float64
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// The initial value of the variable.
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InitialValue float64
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}
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// NewTimingHistogram creates a new TimingHistogram
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func NewTimingHistogram(opts TimingHistogramOpts) (TimingHistogram, error) {
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return NewTestableTimingHistogram(time.Now, opts)
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}
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// NewTestableTimingHistogram creates a TimingHistogram that uses a mockable clock
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func NewTestableTimingHistogram(nowFunc func() time.Time, opts TimingHistogramOpts) (TimingHistogram, error) {
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desc := prometheus.NewDesc(
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prometheus.BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
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wrapTimingHelp(opts.Help),
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nil,
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opts.ConstLabels,
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)
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return newTimingHistogram(nowFunc, desc, opts)
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}
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func wrapTimingHelp(given string) string {
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return "EXPERIMENTAL: " + given
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}
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func newTimingHistogram(nowFunc func() time.Time, desc *prometheus.Desc, opts TimingHistogramOpts, variableLabelValues ...string) (TimingHistogram, error) {
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allLabelsM := prometheus.Labels{}
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allLabelsS := prometheus.MakeLabelPairs(desc, variableLabelValues)
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for _, pair := range allLabelsS {
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if pair == nil || pair.Name == nil || pair.Value == nil {
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return nil, errors.New("prometheus.MakeLabelPairs returned a nil")
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}
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allLabelsM[*pair.Name] = *pair.Value
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}
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weighted, err := newWeightedHistogram(desc, WeightedHistogramOpts{
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Namespace: opts.Namespace,
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Subsystem: opts.Subsystem,
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Name: opts.Name,
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Help: opts.Help,
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ConstLabels: allLabelsM,
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Buckets: opts.Buckets,
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}, variableLabelValues...)
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if err != nil {
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return nil, err
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}
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return &timingHistogram{
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nowFunc: nowFunc,
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weighted: weighted,
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lastSetTime: nowFunc(),
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value: opts.InitialValue,
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}, nil
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}
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type timingHistogram struct {
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nowFunc func() time.Time
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weighted *weightedHistogram
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// The following fields must only be accessed with weighted's lock held
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lastSetTime time.Time // identifies when value was last set
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value float64
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}
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var _ TimingHistogram = &timingHistogram{}
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func (th *timingHistogram) Set(newValue float64) {
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th.update(func(float64) float64 { return newValue })
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}
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func (th *timingHistogram) Inc() {
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th.update(func(oldValue float64) float64 { return oldValue + 1 })
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}
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func (th *timingHistogram) Dec() {
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th.update(func(oldValue float64) float64 { return oldValue - 1 })
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}
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func (th *timingHistogram) Add(delta float64) {
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th.update(func(oldValue float64) float64 { return oldValue + delta })
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}
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func (th *timingHistogram) Sub(delta float64) {
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th.update(func(oldValue float64) float64 { return oldValue - delta })
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}
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func (th *timingHistogram) SetToCurrentTime() {
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th.update(func(oldValue float64) float64 { return th.nowFunc().Sub(time.Unix(0, 0)).Seconds() })
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}
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func (th *timingHistogram) update(updateFn func(float64) float64) {
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th.weighted.lock.Lock()
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defer th.weighted.lock.Unlock()
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now := th.nowFunc()
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delta := now.Sub(th.lastSetTime)
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value := th.value
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if delta > 0 {
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th.weighted.observeWithWeightLocked(value, uint64(delta))
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th.lastSetTime = now
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}
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th.value = updateFn(value)
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}
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func (th *timingHistogram) Desc() *prometheus.Desc {
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return th.weighted.Desc()
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}
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func (th *timingHistogram) Write(dest *dto.Metric) error {
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th.Add(0) // account for time since last update
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return th.weighted.Write(dest)
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}
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func (th *timingHistogram) Describe(ch chan<- *prometheus.Desc) {
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ch <- th.weighted.Desc()
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}
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func (th *timingHistogram) Collect(ch chan<- prometheus.Metric) {
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ch <- th
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}
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