apiserver – k8s.io/apiserver/pkg/util/flowcontrol/metrics Index | Files

package metrics

import "k8s.io/apiserver/pkg/util/flowcontrol/metrics"

Index

Variables 

var (

	// PriorityLevelConcurrencyObserverPairGenerator creates pairs that observe concurrency for priority levels
	PriorityLevelConcurrencyObserverPairGenerator = NewSampleAndWaterMarkHistogramsPairGenerator(clock.RealClock{}, time.Millisecond,
		&compbasemetrics.HistogramOpts{
			Namespace:      namespace,
			Subsystem:      subsystem,
			Name:           "priority_level_request_count_samples",
			Help:           "Periodic observations of the number of requests",
			Buckets:        []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1},
			StabilityLevel: compbasemetrics.ALPHA,
		},
		&compbasemetrics.HistogramOpts{
			Namespace:      namespace,
			Subsystem:      subsystem,
			Name:           "priority_level_request_count_watermarks",
			Help:           "Watermarks of the number of requests",
			Buckets:        []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1},
			StabilityLevel: compbasemetrics.ALPHA,
		},
		[]string{priorityLevel})

	// ReadWriteConcurrencyObserverPairGenerator creates pairs that observe concurrency broken down by mutating vs readonly
	ReadWriteConcurrencyObserverPairGenerator = NewSampleAndWaterMarkHistogramsPairGenerator(clock.RealClock{}, time.Millisecond,
		&compbasemetrics.HistogramOpts{
			Namespace:      namespace,
			Subsystem:      subsystem,
			Name:           "read_vs_write_request_count_samples",
			Help:           "Periodic observations of the number of requests",
			Buckets:        []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1},
			StabilityLevel: compbasemetrics.ALPHA,
		},
		&compbasemetrics.HistogramOpts{
			Namespace:      namespace,
			Subsystem:      subsystem,
			Name:           "read_vs_write_request_count_watermarks",
			Help:           "Watermarks of the number of requests",
			Buckets:        []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1},
			StabilityLevel: compbasemetrics.ALPHA,
		},
		[]string{requestKind})
)

Functions

func AddDispatch 

func AddDispatch(ctx context.Context, priorityLevel, flowSchema string)

AddDispatch increments the # of dispatched requests for flow control

func AddReject 

func AddReject(ctx context.Context, priorityLevel, flowSchema, reason string)

AddReject increments the # of rejected requests for flow control

func AddRequestConcurrencyInUse 

func AddRequestConcurrencyInUse(priorityLevel, flowSchema string, delta int)

AddRequestConcurrencyInUse adds the given delta to the gauge of concurrency in use by the currently executing requests of the given flowSchema and priorityLevel

func AddRequestsExecuting 

func AddRequestsExecuting(ctx context.Context, priorityLevel, flowSchema string, delta int)

AddRequestsExecuting adds the given delta to the gauge of executing requests of the given flowSchema and priorityLevel

func AddRequestsInQueues 

func AddRequestsInQueues(ctx context.Context, priorityLevel, flowSchema string, delta int)

AddRequestsInQueues adds the given delta to the gauge of the # of requests in the queues of the specified flowSchema and priorityLevel

func GatherAndCompare 

func GatherAndCompare(expected string, metricNames ...string) error

GatherAndCompare the given metrics with the given Prometheus syntax expected value

func ObserveExecutionDuration 

func ObserveExecutionDuration(ctx context.Context, priorityLevel, flowSchema string, executionTime time.Duration)

ObserveExecutionDuration observes the execution duration for flow control

func ObserveQueueLength 

func ObserveQueueLength(ctx context.Context, priorityLevel, flowSchema string, length int)

ObserveQueueLength observes the queue length for flow control

func ObserveWaitingDuration 

func ObserveWaitingDuration(ctx context.Context, priorityLevel, flowSchema, execute string, waitTime time.Duration)

ObserveWaitingDuration observes the queue length for flow control

func Register 

func Register()

Register all metrics.

func Reset 

func Reset()

Reset all metrics to zero

func SetCurrentR 

func SetCurrentR(priorityLevel string, r float64)

SetCurrentR sets the current-R (virtualTime) gauge for the given priority level

func SetDispatchMetrics 

func SetDispatchMetrics(priorityLevel string, r, s, sMin, sMax, discountedSMin, discountedSMax float64)

SetLatestS sets the latest-S (virtual time of dispatched request) gauge for the given priority level

func UpdateSharedConcurrencyLimit 

func UpdateSharedConcurrencyLimit(priorityLevel string, limit int)

UpdateSharedConcurrencyLimit updates the value for the concurrency limit in flow control

Types

type Registerables 

type Registerables []compbasemetrics.Registerable

Registerables is a slice of Registerable

func (Registerables) Append 

func (rs Registerables) Append(more ...compbasemetrics.Registerable) Registerables

Append adds more

type SampleAndWaterMarkObserverGenerator 

type SampleAndWaterMarkObserverGenerator struct {
	// contains filtered or unexported fields
}

SampleAndWaterMarkObserverGenerator creates TimedObservers that populate histograms of samples and low- and high-water-marks. The generator has a samplePeriod, and the histograms get an observation every samplePeriod. The sampling windows are quantized based on the monotonic rather than wall-clock times. The `t0` field is there so to provide a baseline for monotonic clock differences.

func NewSampleAndWaterMarkHistogramsGenerator 

func NewSampleAndWaterMarkHistogramsGenerator(clock clock.PassiveClock, samplePeriod time.Duration, sampleOpts, waterMarkOpts *compbasemetrics.HistogramOpts, labelNames []string) SampleAndWaterMarkObserverGenerator

NewSampleAndWaterMarkHistogramsGenerator makes a new one

func (SampleAndWaterMarkObserverGenerator) Generate 

func (swg SampleAndWaterMarkObserverGenerator) Generate(x, x1 float64, labelValues []string) TimedObserver

Generate makes a new TimedObserver

type SampleAndWaterMarkPairGenerator 

type SampleAndWaterMarkPairGenerator struct {
	// contains filtered or unexported fields
}

SampleAndWaterMarkPairGenerator makes pairs of TimedObservers that track samples and watermarks.

func NewSampleAndWaterMarkHistogramsPairGenerator 

func NewSampleAndWaterMarkHistogramsPairGenerator(clock clock.PassiveClock, samplePeriod time.Duration, sampleOpts, waterMarkOpts *compbasemetrics.HistogramOpts, labelNames []string) SampleAndWaterMarkPairGenerator

NewSampleAndWaterMarkHistogramsPairGenerator makes a new pair generator

func (SampleAndWaterMarkPairGenerator) Generate 

func (spg SampleAndWaterMarkPairGenerator) Generate(waiting1, executing1 float64, labelValues []string) TimedObserverPair

Generate makes a new pair

type TimedObserver 

type TimedObserver interface {
	// Add notes a change to the variable
	Add(deltaX float64)

	// Set notes a setting of the variable
	Set(x float64)

	// SetX1 changes the value to use for X1
	SetX1(x1 float64)
}

TimedObserver gets informed about the values assigned to a variable `X float64` over time, and reports on the ratio `X/X1`.

type TimedObserverGenerator 

type TimedObserverGenerator interface {
	Generate(x, x1 float64, labelValues []string) TimedObserver
}

TimedObserverGenerator creates related observers that are differentiated by a series of label values

type TimedObserverPair 

type TimedObserverPair struct {
	// RequestsWaiting is given observations of the number of currently queued requests
	RequestsWaiting TimedObserver

	// RequestsExecuting is given observations of the number of requests currently executing
	RequestsExecuting TimedObserver
}

TimedObserverPair is a corresponding pair of observers, one for the number of requests waiting in queue(s) and one for the number of requests being executed

type TimedObserverPairGenerator 

type TimedObserverPairGenerator interface {
	Generate(waiting1, executing1 float64, labelValues []string) TimedObserverPair
}

TimedObserverPairGenerator generates pairs

Source Files

metrics.go sample_and_watermark.go timed_observer.go

Version
v0.22.15
Published
Sep 21, 2022
Platform
js/wasm
Imports
9 packages
Last checked
1 second ago –

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