VictoriaMetrics/lib/streamaggr/max.go
Aliaksandr Valialkin 0422ae01ba
lib/streamaggr: flush dedup state and aggregation state in parallel on all the available CPU cores
This should reduce the time needed for aggregation state flush on systems with many CPU cores
2024-03-04 01:21:50 +02:00

80 lines
1.7 KiB
Go

package streamaggr
import (
"strings"
"sync"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
)
// maxAggrState calculates output=max, e.g. the maximum value over input samples.
type maxAggrState struct {
m sync.Map
}
type maxStateValue struct {
mu sync.Mutex
max float64
deleted bool
}
func newMaxAggrState() *maxAggrState {
return &maxAggrState{}
}
func (as *maxAggrState) pushSamples(samples []pushSample) {
for i := range samples {
s := &samples[i]
outputKey := getOutputKey(s.key)
again:
v, ok := as.m.Load(outputKey)
if !ok {
// The entry is missing in the map. Try creating it.
v = &maxStateValue{
max: s.value,
}
outputKey = strings.Clone(outputKey)
vNew, loaded := as.m.LoadOrStore(outputKey, v)
if !loaded {
// The new entry has been successfully created.
continue
}
// Use the entry created by a concurrent goroutine.
v = vNew
}
sv := v.(*maxStateValue)
sv.mu.Lock()
deleted := sv.deleted
if !deleted {
if s.value > sv.max {
sv.max = s.value
}
}
sv.mu.Unlock()
if deleted {
// The entry has been deleted by the concurrent call to flushState
// Try obtaining and updating the entry again.
goto again
}
}
}
func (as *maxAggrState) flushState(ctx *flushCtx) {
currentTimeMsec := int64(fasttime.UnixTimestamp()) * 1000
m := &as.m
m.Range(func(k, v interface{}) bool {
// Atomically delete the entry from the map, so new entry is created for the next flush.
m.Delete(k)
sv := v.(*maxStateValue)
sv.mu.Lock()
max := sv.max
// Mark the entry as deleted, so it won't be updated anymore by concurrent pushSample() calls.
sv.deleted = true
sv.mu.Unlock()
key := k.(string)
ctx.appendSeries(key, "max", currentTimeMsec, max)
return true
})
}