ceremonyclient/pebble/internal/base/metrics.go
Cassandra Heart 2e2a1e4789
v1.2.0 (#31)
2024-01-03 01:31:42 -06:00

99 lines
2.9 KiB
Go

// Copyright 2022 The LevelDB-Go and Pebble Authors. All rights reserved. Use
// of this source code is governed by a BSD-style license that can be found in
// the LICENSE file.
package base
import "time"
// ThroughputMetric is used to measure the byte throughput of some component
// that performs work in a single-threaded manner. The throughput can be
// approximated by Bytes/(WorkDuration+IdleTime). The idle time is represented
// separately, so that the user of this metric could approximate the peak
// throughput as Bytes/WorkTime. The metric is designed to be cumulative (see
// Merge).
type ThroughputMetric struct {
// Bytes is the processes bytes by the component.
Bytes int64
// WorkDuration is the duration that the component spent doing work.
WorkDuration time.Duration
// IdleDuration is the duration that the component was idling, waiting for
// work.
IdleDuration time.Duration
}
// Merge accumulates the information from another throughput metric.
func (tm *ThroughputMetric) Merge(x ThroughputMetric) {
tm.Bytes += x.Bytes
tm.WorkDuration += x.WorkDuration
tm.IdleDuration += x.IdleDuration
}
// Subtract subtracts the information from another ThroughputMetric
func (tm *ThroughputMetric) Subtract(x ThroughputMetric) {
tm.Bytes -= x.Bytes
tm.WorkDuration -= x.WorkDuration
tm.IdleDuration -= x.IdleDuration
}
// PeakRate returns the approximate peak rate if there was no idling.
func (tm *ThroughputMetric) PeakRate() int64 {
if tm.Bytes == 0 {
return 0
}
return int64((float64(tm.Bytes) / float64(tm.WorkDuration)) * float64(time.Second))
}
// Rate returns the observed rate.
func (tm *ThroughputMetric) Rate() int64 {
if tm.Bytes == 0 {
return 0
}
return int64((float64(tm.Bytes) / float64(tm.WorkDuration+tm.IdleDuration)) *
float64(time.Second))
}
// Utilization returns a percent [0, 1.0] indicating the percent of time
// work was performed.
func (tm *ThroughputMetric) Utilization() float64 {
if tm.WorkDuration == 0 {
return 0
}
return float64(tm.WorkDuration) / float64(tm.WorkDuration+tm.IdleDuration)
}
// GaugeSampleMetric is used to measure a gauge value (e.g. queue length) by
// accumulating samples of that gauge.
type GaugeSampleMetric struct {
// The sum of all the samples.
sampleSum int64
// The number of samples.
count int64
}
// AddSample adds the given sample.
func (gsm *GaugeSampleMetric) AddSample(sample int64) {
gsm.sampleSum += sample
gsm.count++
}
// Merge accumulates the information from another gauge metric.
func (gsm *GaugeSampleMetric) Merge(x GaugeSampleMetric) {
gsm.sampleSum += x.sampleSum
gsm.count += x.count
}
// Subtract subtracts the information from another gauge metric.
func (gsm *GaugeSampleMetric) Subtract(x GaugeSampleMetric) {
gsm.sampleSum -= x.sampleSum
gsm.count -= x.count
}
// Mean returns the mean value.
func (gsm *GaugeSampleMetric) Mean() float64 {
if gsm.count == 0 {
return 0
}
return float64(gsm.sampleSum) / float64(gsm.count)
}