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Merge pull request #110104 from MikeSpreitzer/add-timing-ratio-histograms
Add timing ratio histograms
This commit is contained in:
Kubernetes Prow Robot
GitHub
commit
22d018cf76
@ -220,13 +220,6 @@ func TestApfRejectRequest(t *testing.T) {
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}
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func TestApfExemptRequest(t *testing.T) {
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epmetrics.Register()
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fcmetrics.Register()
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// Wait for at least one sampling window to pass since creation of metrics.ReadWriteConcurrencyObserverPairGenerator,
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// so that an observation will cause some data to go into the Prometheus metrics.
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time.Sleep(time.Millisecond * 50)
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server := newApfServerWithSingleRequest(t, decisionNoQueuingExecute)
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defer server.Close()
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@ -240,19 +233,11 @@ func TestApfExemptRequest(t *testing.T) {
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checkForExpectedMetrics(t, []string{
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"apiserver_current_inflight_requests",
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"apiserver_flowcontrol_read_vs_write_request_count_watermarks",
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"apiserver_flowcontrol_read_vs_write_request_count_samples",
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"apiserver_flowcontrol_read_vs_write_current_requests",
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})
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}
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func TestApfExecuteRequest(t *testing.T) {
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epmetrics.Register()
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fcmetrics.Register()
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// Wait for at least one sampling window to pass since creation of metrics.ReadWriteConcurrencyObserverPairGenerator,
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// so that an observation will cause some data to go into the Prometheus metrics.
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time.Sleep(time.Millisecond * 50)
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server := newApfServerWithSingleRequest(t, decisionQueuingExecute)
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defer server.Close()
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@ -267,19 +252,11 @@ func TestApfExecuteRequest(t *testing.T) {
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checkForExpectedMetrics(t, []string{
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"apiserver_current_inflight_requests",
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"apiserver_current_inqueue_requests",
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"apiserver_flowcontrol_read_vs_write_request_count_watermarks",
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"apiserver_flowcontrol_read_vs_write_request_count_samples",
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"apiserver_flowcontrol_read_vs_write_current_requests",
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})
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}
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func TestApfExecuteMultipleRequests(t *testing.T) {
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epmetrics.Register()
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fcmetrics.Register()
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// Wait for at least one sampling window to pass since creation of metrics.ReadWriteConcurrencyObserverPairGenerator,
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// so that an observation will cause some data to go into the Prometheus metrics.
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time.Sleep(time.Millisecond * 50)
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concurrentRequests := 5
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preStartExecute, postStartExecute := &sync.WaitGroup{}, &sync.WaitGroup{}
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preEnqueue, postEnqueue := &sync.WaitGroup{}, &sync.WaitGroup{}
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@ -347,8 +324,7 @@ func TestApfExecuteMultipleRequests(t *testing.T) {
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checkForExpectedMetrics(t, []string{
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"apiserver_current_inflight_requests",
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"apiserver_current_inqueue_requests",
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"apiserver_flowcontrol_read_vs_write_request_count_watermarks",
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"apiserver_flowcontrol_read_vs_write_request_count_samples",
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"apiserver_flowcontrol_read_vs_write_current_requests",
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})
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}
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@ -27,7 +27,6 @@ import (
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compbasemetrics "k8s.io/component-base/metrics"
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"k8s.io/component-base/metrics/legacyregistry"
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basemetricstestutil "k8s.io/component-base/metrics/testutil"
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"k8s.io/utils/clock"
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)
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const (
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@ -36,11 +35,13 @@ const (
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)
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const (
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requestKind = "request_kind"
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priorityLevel = "priority_level"
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flowSchema = "flow_schema"
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phase = "phase"
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mark = "mark"
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requestKind = "request_kind"
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priorityLevel = "priority_level"
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flowSchema = "flow_schema"
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phase = "phase"
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LabelNamePhase = "phase"
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LabelValueWaiting = "waiting"
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LabelValueExecuting = "executing"
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)
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var (
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@ -106,66 +107,45 @@ var (
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[]string{priorityLevel, flowSchema},
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)
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// PriorityLevelExecutionSeatsGaugeVec creates observers of seats occupied throughout execution for priority levels
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PriorityLevelExecutionSeatsGaugeVec = NewSampleAndWaterMarkHistogramsVec(clock.RealClock{}, time.Millisecond,
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&compbasemetrics.HistogramOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "priority_level_seat_count_samples",
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Help: "Periodic observations of number of seats occupied for any stage of execution (but only initial stage for WATCHes)",
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Buckets: []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1},
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PriorityLevelExecutionSeatsGaugeVec = NewTimingRatioHistogramVec(
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&compbasemetrics.TimingHistogramOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "priority_level_seat_utilization",
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Help: "Observations, at the end of every nanosecond, of utilization of seats for any stage of execution (but only initial stage for WATCHes)",
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// Buckets for both 0.99 and 1.0 mean PromQL's histogram_quantile will reveal saturation
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Buckets: []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.95, 0.99, 1},
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ConstLabels: map[string]string{phase: "executing"},
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StabilityLevel: compbasemetrics.ALPHA,
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},
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&compbasemetrics.HistogramOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "priority_level_seat_count_watermarks",
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Help: "Watermarks of the number of seats occupied for any stage of execution (but only initial stage for WATCHes)",
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Buckets: []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1},
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ConstLabels: map[string]string{phase: "executing"},
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StabilityLevel: compbasemetrics.ALPHA,
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},
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[]string{priorityLevel},
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priorityLevel,
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)
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// PriorityLevelConcurrencyGaugeVec creates gauges of concurrency broken down by phase, priority level
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PriorityLevelConcurrencyGaugeVec = NewSampleAndWaterMarkHistogramsVec(clock.RealClock{}, time.Millisecond,
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&compbasemetrics.HistogramOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "priority_level_request_count_samples",
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Help: "Periodic observations of the number of requests waiting or in any stage of execution (but only initial stage for WATCHes)",
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Buckets: []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1},
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PriorityLevelConcurrencyGaugeVec = NewTimingRatioHistogramVec(
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&compbasemetrics.TimingHistogramOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "priority_level_request_utilization",
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Help: "Observations, at the end of every nanosecond, of number of requests (as a fraction of the relevant limit) waiting or in any stage of execution (but only initial stage for WATCHes)",
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// For executing: the denominator will be seats, so this metric will skew low.
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// FOr waiting: the denominiator is individual queue length limit, so this metric can go over 1. Issue #110160
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Buckets: []float64{0, 0.001, 0.0025, 0.005, 0.1, 0.25, 0.5, 0.75, 1, 10, 100},
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StabilityLevel: compbasemetrics.ALPHA,
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},
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&compbasemetrics.HistogramOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "priority_level_request_count_watermarks",
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Help: "Watermarks of the number of requests waiting or in any stage of execution (but only initial stage for WATCHes)",
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Buckets: []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1},
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StabilityLevel: compbasemetrics.ALPHA,
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},
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[]string{LabelNamePhase, priorityLevel},
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LabelNamePhase, priorityLevel,
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)
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// ReadWriteConcurrencyGaugeVec creates gauges of number of requests broken down by phase and mutating vs readonly
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ReadWriteConcurrencyGaugeVec = NewSampleAndWaterMarkHistogramsVec(clock.RealClock{}, time.Millisecond,
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&compbasemetrics.HistogramOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "read_vs_write_request_count_samples",
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Help: "Periodic observations of the number of requests waiting or in regular stage of execution",
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Buckets: []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1},
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// ReadWriteConcurrencyPairVec creates gauges of number of requests broken down by phase and mutating vs readonly
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ReadWriteConcurrencyGaugeVec = NewTimingRatioHistogramVec(
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&compbasemetrics.TimingHistogramOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "read_vs_write_current_requests",
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Help: "Observations, at the end of every nanosecond, of the number of requests (as a fraction of the relevant limit, if max-in-flight filter is being used) waiting or in regular stage of execution",
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Buckets: []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.95, 0.99, 1, 3, 10, 30, 100, 300, 1000, 3000},
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// TODO: something about the utilization vs count irregularity. Issue #109846
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StabilityLevel: compbasemetrics.ALPHA,
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},
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&compbasemetrics.HistogramOpts{
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Namespace: namespace,
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Subsystem: subsystem,
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Name: "read_vs_write_request_count_watermarks",
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Help: "Watermarks of the number of requests waiting or in regular stage of execution",
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Buckets: []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1},
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StabilityLevel: compbasemetrics.ALPHA,
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},
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[]string{LabelNamePhase, requestKind},
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LabelNamePhase, requestKind,
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)
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apiserverCurrentR = compbasemetrics.NewGaugeVec(
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&compbasemetrics.GaugeOpts{
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@ -1,204 +0,0 @@
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/*
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Copyright 2019 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 metrics
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import (
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"sync"
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"time"
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compbasemetrics "k8s.io/component-base/metrics"
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"k8s.io/klog/v2"
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"k8s.io/utils/clock"
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)
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const (
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labelNameMark = "mark"
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labelValueLo = "low"
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labelValueHi = "high"
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LabelNamePhase = "phase"
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LabelValueWaiting = "waiting"
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LabelValueExecuting = "executing"
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)
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// SampleAndWaterMarkObserverVec creates RatioedGauges that
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// populate histograms of samples and low- and high-water-marks. The
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// generator has a samplePeriod, and the histograms get an observation
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// every samplePeriod. The sampling windows are quantized based on
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// the monotonic rather than wall-clock times. The `t0` field is
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// there so to provide a baseline for monotonic clock differences.
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type SampleAndWaterMarkObserverVec struct {
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*sampleAndWaterMarkObserverVec
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}
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type sampleAndWaterMarkObserverVec struct {
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clock clock.PassiveClock
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t0 time.Time
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samplePeriod time.Duration
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samples *compbasemetrics.HistogramVec
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waterMarks *compbasemetrics.HistogramVec
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}
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var _ RatioedGaugeVec = SampleAndWaterMarkObserverVec{}
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// NewSampleAndWaterMarkHistogramsVec makes a new one
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func NewSampleAndWaterMarkHistogramsVec(clock clock.PassiveClock, samplePeriod time.Duration, sampleOpts, waterMarkOpts *compbasemetrics.HistogramOpts, labelNames []string) SampleAndWaterMarkObserverVec {
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return SampleAndWaterMarkObserverVec{
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&sampleAndWaterMarkObserverVec{
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clock: clock,
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t0: clock.Now(),
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samplePeriod: samplePeriod,
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samples: compbasemetrics.NewHistogramVec(sampleOpts, labelNames),
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waterMarks: compbasemetrics.NewHistogramVec(waterMarkOpts, append([]string{labelNameMark}, labelNames...)),
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}}
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}
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func (swg *sampleAndWaterMarkObserverVec) quantize(when time.Time) int64 {
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return int64(when.Sub(swg.t0) / swg.samplePeriod)
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}
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// NewForLabelValuesSafe makes a new RatioedGauge
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func (swg *sampleAndWaterMarkObserverVec) NewForLabelValuesSafe(initialNumerator, initialDenominator float64, labelValues []string) RatioedGauge {
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ratio := initialNumerator / initialDenominator
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when := swg.clock.Now()
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return &sampleAndWaterMarkHistograms{
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sampleAndWaterMarkObserverVec: swg,
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labelValues: labelValues,
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loLabelValues: append([]string{labelValueLo}, labelValues...),
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hiLabelValues: append([]string{labelValueHi}, labelValues...),
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denominator: initialDenominator,
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sampleAndWaterMarkAccumulator: sampleAndWaterMarkAccumulator{
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lastSet: when,
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lastSetInt: swg.quantize(when),
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numerator: initialNumerator,
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ratio: ratio,
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loRatio: ratio,
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hiRatio: ratio,
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}}
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}
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func (swg *sampleAndWaterMarkObserverVec) metrics() Registerables {
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return Registerables{swg.samples, swg.waterMarks}
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}
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type sampleAndWaterMarkHistograms struct {
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*sampleAndWaterMarkObserverVec
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labelValues []string
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loLabelValues, hiLabelValues []string
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sync.Mutex
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denominator float64
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sampleAndWaterMarkAccumulator
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}
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type sampleAndWaterMarkAccumulator struct {
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lastSet time.Time
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lastSetInt int64 // lastSet / samplePeriod
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numerator float64
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ratio float64 // numerator/denominator
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loRatio, hiRatio float64
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}
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var _ RatioedGauge = (*sampleAndWaterMarkHistograms)(nil)
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func (saw *sampleAndWaterMarkHistograms) Set(numerator float64) {
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saw.innerSet(func() {
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saw.numerator = numerator
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})
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}
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func (saw *sampleAndWaterMarkHistograms) Add(deltaNumerator float64) {
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saw.innerSet(func() {
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saw.numerator += deltaNumerator
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})
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}
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func (saw *sampleAndWaterMarkHistograms) Sub(deltaNumerator float64) {
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saw.innerSet(func() {
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saw.numerator -= deltaNumerator
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})
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}
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func (saw *sampleAndWaterMarkHistograms) Inc() {
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saw.innerSet(func() {
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saw.numerator += 1
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})
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}
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func (saw *sampleAndWaterMarkHistograms) Dec() {
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saw.innerSet(func() {
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saw.numerator -= 1
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})
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}
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func (saw *sampleAndWaterMarkHistograms) SetToCurrentTime() {
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saw.innerSet(func() {
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saw.numerator = float64(saw.clock.Now().Sub(time.Unix(0, 0)))
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})
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}
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func (saw *sampleAndWaterMarkHistograms) SetDenominator(denominator float64) {
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saw.innerSet(func() {
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saw.denominator = denominator
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})
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}
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func (saw *sampleAndWaterMarkHistograms) innerSet(updateNumeratorOrDenominator func()) {
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when, whenInt, acc, wellOrdered := func() (time.Time, int64, sampleAndWaterMarkAccumulator, bool) {
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saw.Lock()
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defer saw.Unlock()
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// Moved these variables here to tiptoe around https://github.com/golang/go/issues/43570 for #97685
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when := saw.clock.Now()
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whenInt := saw.quantize(when)
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acc := saw.sampleAndWaterMarkAccumulator
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wellOrdered := !when.Before(acc.lastSet)
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updateNumeratorOrDenominator()
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saw.ratio = saw.numerator / saw.denominator
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if wellOrdered {
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if acc.lastSetInt < whenInt {
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saw.loRatio, saw.hiRatio = acc.ratio, acc.ratio
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saw.lastSetInt = whenInt
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}
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saw.lastSet = when
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}
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// `wellOrdered` should always be true because we are using
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// monotonic clock readings and they never go backwards. Yet
|
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// very small backwards steps (under 1 microsecond) have been
|
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// observed
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// (https://github.com/kubernetes/kubernetes/issues/96459).
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// In the backwards case, treat the current reading as if it
|
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// had occurred at time `saw.lastSet` and log an error. It
|
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// would be wrong to update `saw.lastSet` in this case because
|
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// that plants a time bomb for future updates to
|
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// `saw.lastSetInt`.
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if saw.ratio < saw.loRatio {
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saw.loRatio = saw.ratio
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} else if saw.ratio > saw.hiRatio {
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saw.hiRatio = saw.ratio
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}
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return when, whenInt, acc, wellOrdered
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}()
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if !wellOrdered {
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lastSetS := acc.lastSet.String()
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whenS := when.String()
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klog.Errorf("Time went backwards from %s to %s for labelValues=%#+v", lastSetS, whenS, saw.labelValues)
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}
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for acc.lastSetInt < whenInt {
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saw.samples.WithLabelValues(saw.labelValues...).Observe(acc.ratio)
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saw.waterMarks.WithLabelValues(saw.loLabelValues...).Observe(acc.loRatio)
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saw.waterMarks.WithLabelValues(saw.hiLabelValues...).Observe(acc.hiRatio)
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acc.lastSetInt++
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acc.loRatio, acc.hiRatio = acc.ratio, acc.ratio
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}
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}
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@ -1,122 +0,0 @@
|
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/*
|
||||
Copyright 2021 The Kubernetes 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 metrics
|
||||
|
||||
import (
|
||||
"errors"
|
||||
"fmt"
|
||||
"math/rand"
|
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"testing"
|
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"time"
|
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|
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compbasemetrics "k8s.io/component-base/metrics"
|
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"k8s.io/klog/v2"
|
||||
testclock "k8s.io/utils/clock/testing"
|
||||
)
|
||||
|
||||
const (
|
||||
samplesHistName = "sawtestsamples"
|
||||
samplingPeriod = time.Millisecond
|
||||
ddtRangeCentiPeriods = 300
|
||||
ddtOffsetCentiPeriods = 50
|
||||
numIterations = 100
|
||||
)
|
||||
|
||||
var errMetricNotFound = errors.New("not found")
|
||||
|
||||
/* TestSampler does a rough behavioral test of the sampling in a
|
||||
SampleAndWatermarkHistograms. The test creates one and exercises
|
||||
it, checking that the count in the sampling histogram is correct at
|
||||
each step. The sampling histogram is expected to get one
|
||||
observation at the end of each sampling period. A fake clock is
|
||||
used, and the exercise consists of repeatedly changing that fake
|
||||
clock by an amount of time chosen uniformly at random from a range
|
||||
that goes from a little negative to somewhat more than two sampling
|
||||
periods. The negative changes are included because small negative
|
||||
changes have been observed in real monotonic clock readings (see
|
||||
issue #96459) and we want to test that they are properly tolerated.
|
||||
The designed toleration is to pretend that the clock did not
|
||||
change, until it resumes net forward progress.
|
||||
*/
|
||||
func TestSampler(t *testing.T) {
|
||||
t0 := time.Now()
|
||||
clk := testclock.NewFakePassiveClock(t0)
|
||||
buckets := []float64{0, 1}
|
||||
gen := NewSampleAndWaterMarkHistogramsVec(clk, samplingPeriod,
|
||||
&compbasemetrics.HistogramOpts{Name: samplesHistName, Buckets: buckets},
|
||||
&compbasemetrics.HistogramOpts{Name: "marks", Buckets: buckets},
|
||||
[]string{})
|
||||
saw := gen.NewForLabelValuesSafe(0, 1, []string{})
|
||||
toRegister := gen.metrics()
|
||||
registry := compbasemetrics.NewKubeRegistry()
|
||||
for _, reg := range toRegister {
|
||||
registry.MustRegister(reg)
|
||||
}
|
||||
// `dt` is the admitted cumulative difference in fake time
|
||||
// since the start of the test. "admitted" means this is
|
||||
// never allowed to decrease, which matches the designed
|
||||
// toleration for negative monotonic clock changes.
|
||||
var dt time.Duration
|
||||
// `t1` is the current fake time
|
||||
t1 := t0.Add(dt)
|
||||
klog.Infof("Expect about %v warnings about time going backwards; this is fake time deliberately misbehaving.", (numIterations*ddtOffsetCentiPeriods)/ddtRangeCentiPeriods)
|
||||
t.Logf("t0=%s", t0)
|
||||
for i := 0; i < numIterations; i++ {
|
||||
// `ddt` is the next step to take in fake time
|
||||
ddt := time.Duration(rand.Intn(ddtRangeCentiPeriods)-ddtOffsetCentiPeriods) * samplingPeriod / 100
|
||||
t1 = t1.Add(ddt)
|
||||
diff := t1.Sub(t0)
|
||||
if diff > dt {
|
||||
dt = diff
|
||||
}
|
||||
clk.SetTime(t1)
|
||||
saw.Set(1)
|
||||
expectedCount := int64(dt / samplingPeriod)
|
||||
actualCount, err := getHistogramCount(registry, samplesHistName)
|
||||
if err != nil && !(err == errMetricNotFound && expectedCount == 0) {
|
||||
t.Fatalf("For t0=%s, t1=%s, failed to getHistogramCount: %#+v", t0, t1, err)
|
||||
}
|
||||
t.Logf("For i=%d, ddt=%s, t1=%s, diff=%s, dt=%s, count=%d", i, ddt, t1, diff, dt, actualCount)
|
||||
if expectedCount != actualCount {
|
||||
t.Errorf("For i=%d, t0=%s, ddt=%s, t1=%s, expectedCount=%d, actualCount=%d", i, t0, ddt, t1, expectedCount, actualCount)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* getHistogramCount returns the count of the named histogram or an error (if any) */
|
||||
func getHistogramCount(registry compbasemetrics.KubeRegistry, metricName string) (int64, error) {
|
||||
mfs, err := registry.Gather()
|
||||
if err != nil {
|
||||
return 0, fmt.Errorf("failed to gather metrics: %w", err)
|
||||
}
|
||||
for _, mf := range mfs {
|
||||
thisName := mf.GetName()
|
||||
if thisName != metricName {
|
||||
continue
|
||||
}
|
||||
metric := mf.GetMetric()[0]
|
||||
hist := metric.GetHistogram()
|
||||
if hist == nil {
|
||||
return 0, errors.New("dto.Metric has nil Histogram")
|
||||
}
|
||||
if hist.SampleCount == nil {
|
||||
return 0, errors.New("dto.Histogram has nil SampleCount")
|
||||
}
|
||||
return int64(*hist.SampleCount), nil
|
||||
}
|
||||
return 0, errMetricNotFound
|
||||
}
|
||||
@ -0,0 +1,223 @@
|
||||
/*
|
||||
Copyright 2022 The Kubernetes 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 metrics
|
||||
|
||||
import (
|
||||
"context"
|
||||
"sync"
|
||||
"time"
|
||||
|
||||
compbasemetrics "k8s.io/component-base/metrics"
|
||||
"k8s.io/klog/v2"
|
||||
)
|
||||
|
||||
// TimingRatioHistogram is essentially a gauge for a ratio where the client
|
||||
// independently controls the numerator and denominator.
|
||||
// When scraped it produces a histogram of samples of the ratio
|
||||
// taken at the end of every nanosecond.
|
||||
// `*TimingRatioHistogram` implements both Registerable and RatioedGauge.
|
||||
type TimingRatioHistogram struct {
|
||||
// The implementation is layered on TimingHistogram,
|
||||
// adding the division by an occasionally adjusted denominator.
|
||||
|
||||
// Registerable is the registerable aspect.
|
||||
// That is the registerable aspect of the underlying TimingHistogram.
|
||||
compbasemetrics.Registerable
|
||||
|
||||
// timingRatioHistogramInner implements the RatioedGauge aspect.
|
||||
timingRatioHistogramInner
|
||||
}
|
||||
|
||||
// TimingRatioHistogramOpts is the constructor parameters of a TimingRatioHistogram.
|
||||
// The `TimingHistogramOpts.InitialValue` is the initial numerator.
|
||||
type TimingRatioHistogramOpts struct {
|
||||
compbasemetrics.TimingHistogramOpts
|
||||
InitialDenominator float64
|
||||
}
|
||||
|
||||
// timingRatioHistogramInner implements the instrumentation aspect
|
||||
type timingRatioHistogramInner struct {
|
||||
nowFunc func() time.Time
|
||||
getGaugeOfRatio func() Gauge
|
||||
sync.Mutex
|
||||
// access only with mutex locked
|
||||
numerator, denominator float64
|
||||
}
|
||||
|
||||
var _ RatioedGauge = &timingRatioHistogramInner{}
|
||||
var _ RatioedGauge = &TimingRatioHistogram{}
|
||||
var _ compbasemetrics.Registerable = &TimingRatioHistogram{}
|
||||
|
||||
// NewTimingHistogram returns an object which is TimingHistogram-like. However, nothing
|
||||
// will be measured until the histogram is registered in at least one registry.
|
||||
func NewTimingRatioHistogram(opts *TimingRatioHistogramOpts) *TimingRatioHistogram {
|
||||
return NewTestableTimingRatioHistogram(time.Now, opts)
|
||||
}
|
||||
|
||||
// NewTestableTimingHistogram adds injection of the clock
|
||||
func NewTestableTimingRatioHistogram(nowFunc func() time.Time, opts *TimingRatioHistogramOpts) *TimingRatioHistogram {
|
||||
ratioedOpts := opts.TimingHistogramOpts
|
||||
ratioedOpts.InitialValue /= opts.InitialDenominator
|
||||
th := compbasemetrics.NewTestableTimingHistogram(nowFunc, &ratioedOpts)
|
||||
return &TimingRatioHistogram{
|
||||
Registerable: th,
|
||||
timingRatioHistogramInner: timingRatioHistogramInner{
|
||||
nowFunc: nowFunc,
|
||||
getGaugeOfRatio: func() Gauge { return th },
|
||||
numerator: opts.InitialValue,
|
||||
denominator: opts.InitialDenominator,
|
||||
}}
|
||||
}
|
||||
|
||||
func (trh *timingRatioHistogramInner) Set(numerator float64) {
|
||||
trh.Lock()
|
||||
defer trh.Unlock()
|
||||
trh.numerator = numerator
|
||||
ratio := numerator / trh.denominator
|
||||
trh.getGaugeOfRatio().Set(ratio)
|
||||
}
|
||||
|
||||
func (trh *timingRatioHistogramInner) Add(deltaNumerator float64) {
|
||||
trh.Lock()
|
||||
defer trh.Unlock()
|
||||
numerator := trh.numerator + deltaNumerator
|
||||
trh.numerator = numerator
|
||||
ratio := numerator / trh.denominator
|
||||
trh.getGaugeOfRatio().Set(ratio)
|
||||
}
|
||||
|
||||
func (trh *timingRatioHistogramInner) Sub(deltaNumerator float64) {
|
||||
trh.Add(-deltaNumerator)
|
||||
}
|
||||
|
||||
func (trh *timingRatioHistogramInner) Inc() {
|
||||
trh.Add(1)
|
||||
}
|
||||
|
||||
func (trh *timingRatioHistogramInner) Dec() {
|
||||
trh.Add(-1)
|
||||
}
|
||||
|
||||
func (trh *timingRatioHistogramInner) SetToCurrentTime() {
|
||||
trh.Set(float64(trh.nowFunc().Sub(time.Unix(0, 0))))
|
||||
}
|
||||
|
||||
func (trh *timingRatioHistogramInner) SetDenominator(denominator float64) {
|
||||
trh.Lock()
|
||||
defer trh.Unlock()
|
||||
trh.denominator = denominator
|
||||
ratio := trh.numerator / denominator
|
||||
trh.getGaugeOfRatio().Set(ratio)
|
||||
}
|
||||
|
||||
// WithContext allows the normal TimingHistogram metric to pass in context.
|
||||
// The context is no-op at the current level of development.
|
||||
func (trh *timingRatioHistogramInner) WithContext(ctx context.Context) RatioedGauge {
|
||||
return trh
|
||||
}
|
||||
|
||||
// TimingRatioHistogramVec is a collection of TimingRatioHistograms that differ
|
||||
// only in label values.
|
||||
// `*TimingRatioHistogramVec` implements both Registerable and RatioedGaugeVec.
|
||||
type TimingRatioHistogramVec struct {
|
||||
// promote only the Registerable methods
|
||||
compbasemetrics.Registerable
|
||||
// delegate is TimingHistograms of the ratio
|
||||
delegate compbasemetrics.GaugeVecMetric
|
||||
}
|
||||
|
||||
var _ RatioedGaugeVec = &TimingRatioHistogramVec{}
|
||||
var _ compbasemetrics.Registerable = &TimingRatioHistogramVec{}
|
||||
|
||||
// NewTimingHistogramVec constructs a new vector.
|
||||
// `opts.InitialValue` is the initial ratio, but this applies
|
||||
// only for the tiny period of time until NewForLabelValuesSafe sets
|
||||
// the ratio based on the given initial numerator and denominator.
|
||||
// Thus there is a tiny splinter of time during member construction when
|
||||
// its underlying TimingHistogram is given the initial numerator rather than
|
||||
// the initial ratio (which is obviously a non-issue when both are zero).
|
||||
// Note the difficulties associated with extracting a member
|
||||
// before registering the vector.
|
||||
func NewTimingRatioHistogramVec(opts *compbasemetrics.TimingHistogramOpts, labelNames ...string) *TimingRatioHistogramVec {
|
||||
return NewTestableTimingRatioHistogramVec(time.Now, opts, labelNames...)
|
||||
}
|
||||
|
||||
// NewTestableTimingHistogramVec adds injection of the clock.
|
||||
func NewTestableTimingRatioHistogramVec(nowFunc func() time.Time, opts *compbasemetrics.TimingHistogramOpts, labelNames ...string) *TimingRatioHistogramVec {
|
||||
delegate := compbasemetrics.NewTestableTimingHistogramVec(nowFunc, opts, labelNames)
|
||||
return &TimingRatioHistogramVec{
|
||||
Registerable: delegate,
|
||||
delegate: delegate,
|
||||
}
|
||||
}
|
||||
|
||||
func (v *TimingRatioHistogramVec) metrics() Registerables {
|
||||
return Registerables{v}
|
||||
}
|
||||
|
||||
// NewForLabelValuesChecked will return an error if this vec is not hidden and not yet registered
|
||||
// or there is a syntactic problem with the labelValues.
|
||||
func (v *TimingRatioHistogramVec) NewForLabelValuesChecked(initialNumerator, initialDenominator float64, labelValues []string) (RatioedGauge, error) {
|
||||
underMember, err := v.delegate.WithLabelValuesChecked(labelValues...)
|
||||
if err != nil {
|
||||
return noopRatioed{}, err
|
||||
}
|
||||
underMember.Set(initialNumerator / initialDenominator)
|
||||
return &timingRatioHistogramInner{
|
||||
getGaugeOfRatio: func() Gauge { return underMember },
|
||||
numerator: initialNumerator,
|
||||
denominator: initialDenominator,
|
||||
}, nil
|
||||
}
|
||||
|
||||
// NewForLabelValuesSafe is the same as NewForLabelValuesChecked in cases where that does not
|
||||
// return an error. When the unsafe version returns an error due to the vector not being
|
||||
// registered yet, the safe version returns an object that implements its methods
|
||||
// by looking up the relevant vector member in each call (thus getting a non-noop after registration).
|
||||
// In the other error cases the object returned here is a noop.
|
||||
func (v *TimingRatioHistogramVec) NewForLabelValuesSafe(initialNumerator, initialDenominator float64, labelValues []string) RatioedGauge {
|
||||
tro, err := v.NewForLabelValuesChecked(initialNumerator, initialDenominator, labelValues)
|
||||
if err == nil {
|
||||
return tro
|
||||
}
|
||||
if !compbasemetrics.ErrIsNotRegistered(err) {
|
||||
klog.ErrorS(err, "Failed to extract TimingRatioHistogramVec member, using noop instead", "vectorname", v.FQName(), "labelValues", labelValues)
|
||||
return tro
|
||||
}
|
||||
// At this point we know v.NewForLabelValuesChecked(..) returns a permanent noop,
|
||||
// which we precisely want to avoid using. Instead, make our own gauge that
|
||||
// fetches the element on every Set.
|
||||
return &timingRatioHistogramInner{
|
||||
getGaugeOfRatio: func() Gauge { return v.delegate.WithLabelValues(labelValues...) },
|
||||
numerator: initialNumerator,
|
||||
denominator: initialDenominator,
|
||||
}
|
||||
}
|
||||
|
||||
type noopRatioed struct{}
|
||||
|
||||
func (noopRatioed) Set(float64) {}
|
||||
func (noopRatioed) Add(float64) {}
|
||||
func (noopRatioed) Sub(float64) {}
|
||||
func (noopRatioed) Inc() {}
|
||||
func (noopRatioed) Dec() {}
|
||||
func (noopRatioed) SetToCurrentTime() {}
|
||||
func (noopRatioed) SetDenominator(float64) {}
|
||||
|
||||
func (v *TimingRatioHistogramVec) Reset() {
|
||||
v.delegate.Reset()
|
||||
}
|
||||
@ -0,0 +1,276 @@
|
||||
/*
|
||||
Copyright 2022 The Kubernetes 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 metrics
|
||||
|
||||
import (
|
||||
"errors"
|
||||
"fmt"
|
||||
"math/rand"
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
compbasemetrics "k8s.io/component-base/metrics"
|
||||
"k8s.io/klog/v2"
|
||||
testclock "k8s.io/utils/clock/testing"
|
||||
)
|
||||
|
||||
const (
|
||||
ddtRangeCentiPeriods = 300
|
||||
ddtOffsetCentiPeriods = 50
|
||||
numIterations = 100
|
||||
)
|
||||
|
||||
var errMetricNotFound = errors.New("not found")
|
||||
|
||||
func TestTimingRatioHistogramVecElementSimple(t *testing.T) {
|
||||
testHistogramName := "vec_element_simple"
|
||||
t0 := time.Now()
|
||||
clk := testclock.NewFakePassiveClock(t0)
|
||||
buckets := []float64{0, 1}
|
||||
vec := NewTestableTimingRatioHistogramVec(clk.Now,
|
||||
&compbasemetrics.TimingHistogramOpts{Name: testHistogramName, Buckets: buckets},
|
||||
"alabel",
|
||||
)
|
||||
toRegister := vec.metrics()
|
||||
registry := compbasemetrics.NewKubeRegistry()
|
||||
for _, reg := range toRegister {
|
||||
registry.MustRegister(reg)
|
||||
}
|
||||
tro, err := vec.NewForLabelValuesChecked(0, 1, []string{"avalue"})
|
||||
if err != nil {
|
||||
t.Error(err)
|
||||
}
|
||||
exerciseTimingRatioHistogram(t, testHistogramName, t0, clk, registry, tro)
|
||||
}
|
||||
|
||||
func TestTimingRatioHistogramVecElementSafeEarly(t *testing.T) {
|
||||
testHistogramName := "vec_element_safe_early"
|
||||
t0 := time.Now()
|
||||
clk := testclock.NewFakePassiveClock(t0)
|
||||
buckets := []float64{0, 1}
|
||||
vec := NewTestableTimingRatioHistogramVec(clk.Now,
|
||||
&compbasemetrics.TimingHistogramOpts{Name: testHistogramName, Buckets: buckets},
|
||||
"alabel",
|
||||
)
|
||||
tro := vec.NewForLabelValuesSafe(0, 1, []string{"avalue"})
|
||||
toRegister := vec.metrics()
|
||||
registry := compbasemetrics.NewKubeRegistry()
|
||||
for _, reg := range toRegister {
|
||||
registry.MustRegister(reg)
|
||||
}
|
||||
exerciseTimingRatioHistogram(t, testHistogramName, t0, clk, registry, tro)
|
||||
}
|
||||
|
||||
func TestTimingRatioHistogramVecElementSafeLate(t *testing.T) {
|
||||
testHistogramName := "vec_element_safe_late"
|
||||
t0 := time.Now()
|
||||
clk := testclock.NewFakePassiveClock(t0)
|
||||
buckets := []float64{0, 1}
|
||||
vec := NewTestableTimingRatioHistogramVec(clk.Now,
|
||||
&compbasemetrics.TimingHistogramOpts{Name: testHistogramName, Buckets: buckets},
|
||||
"alabel",
|
||||
)
|
||||
toRegister := vec.metrics()
|
||||
registry := compbasemetrics.NewKubeRegistry()
|
||||
for _, reg := range toRegister {
|
||||
registry.MustRegister(reg)
|
||||
}
|
||||
tro := vec.NewForLabelValuesSafe(0, 1, []string{"avalue"})
|
||||
exerciseTimingRatioHistogram(t, testHistogramName, t0, clk, registry, tro)
|
||||
}
|
||||
|
||||
// exerciseTimingRatioHistogram does a rough behavioral test of a
|
||||
// RatioedObserver. A fake clock is used, and the exercise consists
|
||||
// of repeatedly changing that fake clock by an amount of time chosen
|
||||
// uniformly at random from a range that goes from a little negative
|
||||
// to somewhat more than two milliseconds. The negative changes are
|
||||
// included because small negative changes have been observed in real
|
||||
// monotonic clock readings (see issue #96459) and we want to test
|
||||
// that they are properly tolerated. The designed toleration is to
|
||||
// pretend that the clock did not change, until it resumes net forward
|
||||
// progress. The exercise checks that the count in the observer is
|
||||
// correct at each step. The observer is expected to get one
|
||||
// observation at the end of each nanosecond.
|
||||
func exerciseTimingRatioHistogram(t *testing.T, histogramName string, t0 time.Time, clk *testclock.FakePassiveClock, registry compbasemetrics.KubeRegistry, tro RatioedGauge) {
|
||||
samplingPeriod := time.Nanosecond
|
||||
steppingPeriod := time.Millisecond
|
||||
tro.Set(1)
|
||||
// `dt` is the admitted cumulative difference in fake time
|
||||
// since the start of the test. "admitted" means this is
|
||||
// never allowed to decrease, which matches the designed
|
||||
// toleration for negative monotonic clock changes.
|
||||
var dt time.Duration
|
||||
// `t1` is the current fake time
|
||||
t1 := t0.Add(dt)
|
||||
klog.Infof("Expect about %v warnings about time going backwards; this is fake time deliberately misbehaving.", (numIterations*ddtOffsetCentiPeriods)/ddtRangeCentiPeriods)
|
||||
t.Logf("t0=%s", t0)
|
||||
for i := 0; i < numIterations; i++ {
|
||||
// `ddt` is the next step to take in fake time
|
||||
ddt := time.Duration(rand.Intn(ddtRangeCentiPeriods)-ddtOffsetCentiPeriods) * steppingPeriod / 100
|
||||
t1 = t1.Add(ddt)
|
||||
diff := t1.Sub(t0)
|
||||
if diff > dt {
|
||||
dt = diff
|
||||
}
|
||||
clk.SetTime(t1)
|
||||
tro.Set(1)
|
||||
expectedCount := int64(dt / samplingPeriod)
|
||||
actualCount, err := getHistogramCount(registry, histogramName)
|
||||
if err != nil && !(err == errMetricNotFound && expectedCount == 0) {
|
||||
t.Fatalf("For t0=%s, t1=%s, failed to getHistogramCount: %#+v", t0, t1, err)
|
||||
}
|
||||
t.Logf("For i=%d, ddt=%s, t1=%s, diff=%s, dt=%s, count=%d", i, ddt, t1, diff, dt, actualCount)
|
||||
if expectedCount != actualCount {
|
||||
t.Errorf("For i=%d, t0=%s, ddt=%s, t1=%s, expectedCount=%d, actualCount=%d", i, t0, ddt, t1, expectedCount, actualCount)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* getHistogramCount returns the count of the named histogram or an error (if any) */
|
||||
func getHistogramCount(registry compbasemetrics.KubeRegistry, metricName string) (int64, error) {
|
||||
mfs, err := registry.Gather()
|
||||
if err != nil {
|
||||
return 0, fmt.Errorf("failed to gather metrics: %w", err)
|
||||
}
|
||||
for _, mf := range mfs {
|
||||
thisName := mf.GetName()
|
||||
if thisName != metricName {
|
||||
continue
|
||||
}
|
||||
metric := mf.GetMetric()[0]
|
||||
hist := metric.GetHistogram()
|
||||
if hist == nil {
|
||||
return 0, errors.New("dto.Metric has nil Histogram")
|
||||
}
|
||||
if hist.SampleCount == nil {
|
||||
return 0, errors.New("dto.Histogram has nil SampleCount")
|
||||
}
|
||||
return int64(*hist.SampleCount), nil
|
||||
}
|
||||
return 0, errMetricNotFound
|
||||
}
|
||||
|
||||
func BenchmarkTimingRatioHistogram(b *testing.B) {
|
||||
b.StopTimer()
|
||||
now := time.Now()
|
||||
clk := testclock.NewFakePassiveClock(now)
|
||||
th := NewTestableTimingRatioHistogram(clk.Now,
|
||||
&TimingRatioHistogramOpts{
|
||||
compbasemetrics.TimingHistogramOpts{
|
||||
Namespace: "testns",
|
||||
Subsystem: "testsubsys",
|
||||
Name: "testhist",
|
||||
Help: "Me",
|
||||
Buckets: []float64{1, 2, 4, 8, 16, 32},
|
||||
},
|
||||
1})
|
||||
registry := compbasemetrics.NewKubeRegistry()
|
||||
registry.MustRegister(th)
|
||||
var x int
|
||||
b.StartTimer()
|
||||
for i := 0; i < b.N; i++ {
|
||||
delta := (i % 6) + 1
|
||||
now = now.Add(time.Duration(delta) * time.Millisecond)
|
||||
clk.SetTime(now)
|
||||
th.Set(float64(x))
|
||||
x = (x + i) % 60
|
||||
}
|
||||
}
|
||||
|
||||
func BenchmarkTimingRatioHistogramVecElementSimple(b *testing.B) {
|
||||
b.StopTimer()
|
||||
now := time.Now()
|
||||
clk := testclock.NewFakePassiveClock(now)
|
||||
thv := NewTestableTimingRatioHistogramVec(clk.Now,
|
||||
&compbasemetrics.TimingHistogramOpts{
|
||||
Namespace: "testns",
|
||||
Subsystem: "testsubsys",
|
||||
Name: "testhist",
|
||||
Help: "Me",
|
||||
Buckets: []float64{1, 2, 4, 8, 16, 32},
|
||||
},
|
||||
"labelname")
|
||||
registry := compbasemetrics.NewKubeRegistry()
|
||||
registry.MustRegister(thv.metrics()...)
|
||||
th, err := thv.NewForLabelValuesChecked(0, 3, []string{"labelvalue"})
|
||||
if err != nil {
|
||||
b.Error(err)
|
||||
}
|
||||
var x int
|
||||
b.StartTimer()
|
||||
for i := 0; i < b.N; i++ {
|
||||
delta := (i % 6) + 1
|
||||
now = now.Add(time.Duration(delta) * time.Millisecond)
|
||||
clk.SetTime(now)
|
||||
th.Set(float64(x))
|
||||
x = (x + i) % 60
|
||||
}
|
||||
}
|
||||
|
||||
func BenchmarkTimingRatioHistogramVecElementSafeEarly(b *testing.B) {
|
||||
b.StopTimer()
|
||||
now := time.Now()
|
||||
clk := testclock.NewFakePassiveClock(now)
|
||||
thv := NewTestableTimingRatioHistogramVec(clk.Now,
|
||||
&compbasemetrics.TimingHistogramOpts{
|
||||
Namespace: "testns",
|
||||
Subsystem: "testsubsys",
|
||||
Name: "testhist",
|
||||
Help: "Me",
|
||||
Buckets: []float64{1, 2, 4, 8, 16, 32},
|
||||
},
|
||||
"labelname")
|
||||
th := thv.NewForLabelValuesSafe(0, 3, []string{"labelvalue"})
|
||||
registry := compbasemetrics.NewKubeRegistry()
|
||||
registry.MustRegister(thv.metrics()...)
|
||||
var x int
|
||||
b.StartTimer()
|
||||
for i := 0; i < b.N; i++ {
|
||||
delta := (i % 6) + 1
|
||||
now = now.Add(time.Duration(delta) * time.Millisecond)
|
||||
clk.SetTime(now)
|
||||
th.Set(float64(x))
|
||||
x = (x + i) % 60
|
||||
}
|
||||
}
|
||||
|
||||
func BenchmarkTimingRatioHistogramVecElementSafeLate(b *testing.B) {
|
||||
b.StopTimer()
|
||||
now := time.Now()
|
||||
clk := testclock.NewFakePassiveClock(now)
|
||||
thv := NewTestableTimingRatioHistogramVec(clk.Now,
|
||||
&compbasemetrics.TimingHistogramOpts{
|
||||
Namespace: "testns",
|
||||
Subsystem: "testsubsys",
|
||||
Name: "testhist",
|
||||
Help: "Me",
|
||||
Buckets: []float64{1, 2, 4, 8, 16, 32},
|
||||
},
|
||||
"labelname")
|
||||
registry := compbasemetrics.NewKubeRegistry()
|
||||
registry.MustRegister(thv.metrics()...)
|
||||
th := thv.NewForLabelValuesSafe(0, 3, []string{"labelvalue"})
|
||||
var x int
|
||||
b.StartTimer()
|
||||
for i := 0; i < b.N; i++ {
|
||||
delta := (i % 6) + 1
|
||||
now = now.Add(time.Duration(delta) * time.Millisecond)
|
||||
clk.SetTime(now)
|
||||
th.Set(float64(x))
|
||||
x = (x + i) % 60
|
||||
}
|
||||
}
|
||||
Loading…
Reference in New Issue
Block a user