go-ethereum/metrics/prometheus/collector.go
Martin Holst Swende 8b6cf128af
metrics: refactor metrics (#28035)
This change includes a lot of things, listed below. 

### Split up interfaces, write vs read

The interfaces have been split up into one write-interface and one read-interface, with `Snapshot` being the gateway from write to read. This simplifies the semantics _a lot_. 

Example of splitting up an interface into one readonly 'snapshot' part, and one updatable writeonly part: 

```golang
type MeterSnapshot interface {
	Count() int64
	Rate1() float64
	Rate5() float64
	Rate15() float64
	RateMean() float64
}

// Meters count events to produce exponentially-weighted moving average rates
// at one-, five-, and fifteen-minutes and a mean rate.
type Meter interface {
	Mark(int64)
	Snapshot() MeterSnapshot
	Stop()
}
```

### A note about concurrency

This PR makes the concurrency model clearer. We have actual meters and snapshot of meters. The `meter` is the thing which can be accessed from the registry, and updates can be made to it. 

- For all `meters`, (`Gauge`, `Timer` etc), it is assumed that they are accessed by different threads, making updates. Therefore, all `meters` update-methods (`Inc`, `Add`, `Update`, `Clear` etc) need to be concurrency-safe. 
- All `meters` have a `Snapshot()` method. This method is _usually_ called from one thread, a backend-exporter. But it's fully possible to have several exporters simultaneously: therefore this method should also be concurrency-safe. 

TLDR: `meter`s are accessible via registry, all their methods must be concurrency-safe. 

For all `Snapshot`s, it is assumed that an individual exporter-thread has obtained a `meter` from the registry, and called the `Snapshot` method to obtain a readonly snapshot. This snapshot is _not_ guaranteed to be concurrency-safe. There's no need for a snapshot to be concurrency-safe, since exporters should not share snapshots. 

Note, though: that by happenstance a lot of the snapshots _are_ concurrency-safe, being unmutable minimal representations of a value. Only the more complex ones are _not_ threadsafe, those that lazily calculate things like `Variance()`, `Mean()`.

Example of how a background exporter typically works, obtaining the snapshot and sequentially accessing the non-threadsafe methods in it: 
```golang
		ms := metric.Snapshot()
                ...
		fields := map[string]interface{}{
			"count":    ms.Count(),
			"max":      ms.Max(),
			"mean":     ms.Mean(),
			"min":      ms.Min(),
			"stddev":   ms.StdDev(),
			"variance": ms.Variance(),
```

TLDR: `snapshots` are not guaranteed to be concurrency-safe (but often are).

### Sample changes

I also changed the `Sample` type: previously, it iterated the samples fully every time `Mean()`,`Sum()`, `Min()` or `Max()` was invoked. Since we now have readonly base data, we can just iterate it once, in the constructor, and set all four values at once. 

The same thing has been done for runtimehistogram. 

### ResettingTimer API

Back when ResettingTImer was implemented, as part of https://github.com/ethereum/go-ethereum/pull/15910, Anton implemented a `Percentiles` on the new type. However, the method did not conform to the other existing types which also had a `Percentiles`. 

1. The existing ones, on input, took `0.5` to mean `50%`. Anton used `50` to mean `50%`. 
2. The existing ones returned `float64` outputs, thus interpolating between values. A value-set of `0, 10`, at `50%` would return `5`, whereas Anton's would return either `0` or `10`. 

This PR removes the 'new' version, and uses only the 'legacy' percentiles, also for the ResettingTimer type. 

The resetting timer snapshot was also defined so that it would expose the internal values. This has been removed, and getters for `Max, Min, Mean` have been added instead. 

### Unexport types

A lot of types were exported, but do not need to be. This PR unexports quite a lot of them.
2023-09-13 13:13:47 -04:00

170 lines
5.2 KiB
Go

// Copyright 2019 The go-ethereum Authors
// This file is part of the go-ethereum library.
//
// The go-ethereum library is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// The go-ethereum library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
package prometheus
import (
"bytes"
"fmt"
"sort"
"strconv"
"strings"
"github.com/ethereum/go-ethereum/metrics"
)
var (
typeGaugeTpl = "# TYPE %s gauge\n"
typeCounterTpl = "# TYPE %s counter\n"
typeSummaryTpl = "# TYPE %s summary\n"
keyValueTpl = "%s %v\n\n"
keyQuantileTagValueTpl = "%s {quantile=\"%s\"} %v\n"
)
// collector is a collection of byte buffers that aggregate Prometheus reports
// for different metric types.
type collector struct {
buff *bytes.Buffer
}
// newCollector creates a new Prometheus metric aggregator.
func newCollector() *collector {
return &collector{
buff: &bytes.Buffer{},
}
}
// Add adds the metric i to the collector. This method returns an error if the
// metric type is not supported/known.
func (c *collector) Add(name string, i any) error {
switch m := i.(type) {
case metrics.Counter:
c.addCounter(name, m.Snapshot())
case metrics.CounterFloat64:
c.addCounterFloat64(name, m.Snapshot())
case metrics.Gauge:
c.addGauge(name, m.Snapshot())
case metrics.GaugeFloat64:
c.addGaugeFloat64(name, m.Snapshot())
case metrics.GaugeInfo:
c.addGaugeInfo(name, m.Snapshot())
case metrics.Histogram:
c.addHistogram(name, m.Snapshot())
case metrics.Meter:
c.addMeter(name, m.Snapshot())
case metrics.Timer:
c.addTimer(name, m.Snapshot())
case metrics.ResettingTimer:
c.addResettingTimer(name, m.Snapshot())
default:
return fmt.Errorf("unknown prometheus metric type %T", i)
}
return nil
}
func (c *collector) addCounter(name string, m metrics.CounterSnapshot) {
c.writeGaugeCounter(name, m.Count())
}
func (c *collector) addCounterFloat64(name string, m metrics.CounterFloat64Snapshot) {
c.writeGaugeCounter(name, m.Count())
}
func (c *collector) addGauge(name string, m metrics.GaugeSnapshot) {
c.writeGaugeCounter(name, m.Value())
}
func (c *collector) addGaugeFloat64(name string, m metrics.GaugeFloat64Snapshot) {
c.writeGaugeCounter(name, m.Value())
}
func (c *collector) addGaugeInfo(name string, m metrics.GaugeInfoSnapshot) {
c.writeGaugeInfo(name, m.Value())
}
func (c *collector) addHistogram(name string, m metrics.HistogramSnapshot) {
pv := []float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999}
ps := m.Percentiles(pv)
c.writeSummaryCounter(name, m.Count())
c.buff.WriteString(fmt.Sprintf(typeSummaryTpl, mutateKey(name)))
for i := range pv {
c.writeSummaryPercentile(name, strconv.FormatFloat(pv[i], 'f', -1, 64), ps[i])
}
c.buff.WriteRune('\n')
}
func (c *collector) addMeter(name string, m metrics.MeterSnapshot) {
c.writeGaugeCounter(name, m.Count())
}
func (c *collector) addTimer(name string, m metrics.TimerSnapshot) {
pv := []float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999}
ps := m.Percentiles(pv)
c.writeSummaryCounter(name, m.Count())
c.buff.WriteString(fmt.Sprintf(typeSummaryTpl, mutateKey(name)))
for i := range pv {
c.writeSummaryPercentile(name, strconv.FormatFloat(pv[i], 'f', -1, 64), ps[i])
}
c.buff.WriteRune('\n')
}
func (c *collector) addResettingTimer(name string, m metrics.ResettingTimerSnapshot) {
if m.Count() <= 0 {
return
}
ps := m.Percentiles([]float64{0.50, 0.95, 0.99})
c.writeSummaryCounter(name, m.Count())
c.buff.WriteString(fmt.Sprintf(typeSummaryTpl, mutateKey(name)))
c.writeSummaryPercentile(name, "0.50", ps[0])
c.writeSummaryPercentile(name, "0.95", ps[1])
c.writeSummaryPercentile(name, "0.99", ps[2])
c.buff.WriteRune('\n')
}
func (c *collector) writeGaugeInfo(name string, value metrics.GaugeInfoValue) {
name = mutateKey(name)
c.buff.WriteString(fmt.Sprintf(typeGaugeTpl, name))
c.buff.WriteString(name)
c.buff.WriteString(" ")
var kvs []string
for k, v := range value {
kvs = append(kvs, fmt.Sprintf("%v=%q", k, v))
}
sort.Strings(kvs)
c.buff.WriteString(fmt.Sprintf("{%v} 1\n\n", strings.Join(kvs, ", ")))
}
func (c *collector) writeGaugeCounter(name string, value interface{}) {
name = mutateKey(name)
c.buff.WriteString(fmt.Sprintf(typeGaugeTpl, name))
c.buff.WriteString(fmt.Sprintf(keyValueTpl, name, value))
}
func (c *collector) writeSummaryCounter(name string, value interface{}) {
name = mutateKey(name + "_count")
c.buff.WriteString(fmt.Sprintf(typeCounterTpl, name))
c.buff.WriteString(fmt.Sprintf(keyValueTpl, name, value))
}
func (c *collector) writeSummaryPercentile(name, p string, value interface{}) {
name = mutateKey(name)
c.buff.WriteString(fmt.Sprintf(keyQuantileTagValueTpl, name, p, value))
}
func mutateKey(key string) string {
return strings.ReplaceAll(key, "/", "_")
}