bsc/metrics/ewma.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

112 lines
3.1 KiB
Go

package metrics
import (
"math"
"sync"
"sync/atomic"
"time"
)
type EWMASnapshot interface {
Rate() float64
}
// EWMAs continuously calculate an exponentially-weighted moving average
// based on an outside source of clock ticks.
type EWMA interface {
Snapshot() EWMASnapshot
Tick()
Update(int64)
}
// NewEWMA constructs a new EWMA with the given alpha.
func NewEWMA(alpha float64) EWMA {
return &StandardEWMA{alpha: alpha}
}
// NewEWMA1 constructs a new EWMA for a one-minute moving average.
func NewEWMA1() EWMA {
return NewEWMA(1 - math.Exp(-5.0/60.0/1))
}
// NewEWMA5 constructs a new EWMA for a five-minute moving average.
func NewEWMA5() EWMA {
return NewEWMA(1 - math.Exp(-5.0/60.0/5))
}
// NewEWMA15 constructs a new EWMA for a fifteen-minute moving average.
func NewEWMA15() EWMA {
return NewEWMA(1 - math.Exp(-5.0/60.0/15))
}
// ewmaSnapshot is a read-only copy of another EWMA.
type ewmaSnapshot float64
// Rate returns the rate of events per second at the time the snapshot was
// taken.
func (a ewmaSnapshot) Rate() float64 { return float64(a) }
// NilEWMA is a no-op EWMA.
type NilEWMA struct{}
func (NilEWMA) Snapshot() EWMASnapshot { return (*emptySnapshot)(nil) }
func (NilEWMA) Tick() {}
func (NilEWMA) Update(n int64) {}
// StandardEWMA is the standard implementation of an EWMA and tracks the number
// of uncounted events and processes them on each tick. It uses the
// sync/atomic package to manage uncounted events.
type StandardEWMA struct {
uncounted atomic.Int64
alpha float64
rate atomic.Uint64
init atomic.Bool
mutex sync.Mutex
}
// Snapshot returns a read-only copy of the EWMA.
func (a *StandardEWMA) Snapshot() EWMASnapshot {
r := math.Float64frombits(a.rate.Load()) * float64(time.Second)
return ewmaSnapshot(r)
}
// Tick ticks the clock to update the moving average. It assumes it is called
// every five seconds.
func (a *StandardEWMA) Tick() {
// Optimization to avoid mutex locking in the hot-path.
if a.init.Load() {
a.updateRate(a.fetchInstantRate())
return
}
// Slow-path: this is only needed on the first Tick() and preserves transactional updating
// of init and rate in the else block. The first conditional is needed below because
// a different thread could have set a.init = 1 between the time of the first atomic load and when
// the lock was acquired.
a.mutex.Lock()
if a.init.Load() {
// The fetchInstantRate() uses atomic loading, which is unnecessary in this critical section
// but again, this section is only invoked on the first successful Tick() operation.
a.updateRate(a.fetchInstantRate())
} else {
a.init.Store(true)
a.rate.Store(math.Float64bits(a.fetchInstantRate()))
}
a.mutex.Unlock()
}
func (a *StandardEWMA) fetchInstantRate() float64 {
count := a.uncounted.Swap(0)
return float64(count) / float64(5*time.Second)
}
func (a *StandardEWMA) updateRate(instantRate float64) {
currentRate := math.Float64frombits(a.rate.Load())
currentRate += a.alpha * (instantRate - currentRate)
a.rate.Store(math.Float64bits(currentRate))
}
// Update adds n uncounted events.
func (a *StandardEWMA) Update(n int64) {
a.uncounted.Add(n)
}