mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
100 lines
3.1 KiB
Go
100 lines
3.1 KiB
Go
|
package datadogsketches
|
||
|
|
||
|
import (
|
||
|
"net/http"
|
||
|
|
||
|
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmagent/common"
|
||
|
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmagent/remotewrite"
|
||
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/auth"
|
||
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
|
||
|
parserCommon "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/common"
|
||
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/datadogsketches"
|
||
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/datadogsketches/stream"
|
||
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/datadogutils"
|
||
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/tenantmetrics"
|
||
|
"github.com/VictoriaMetrics/metrics"
|
||
|
)
|
||
|
|
||
|
var (
|
||
|
rowsInserted = metrics.NewCounter(`vmagent_rows_inserted_total{type="datadogsketches"}`)
|
||
|
rowsTenantInserted = tenantmetrics.NewCounterMap(`vmagent_tenant_inserted_rows_total{type="datadogsketches"}`)
|
||
|
rowsPerInsert = metrics.NewHistogram(`vmagent_rows_per_insert{type="datadogsketches"}`)
|
||
|
)
|
||
|
|
||
|
// InsertHandlerForHTTP processes remote write for DataDog POST /api/beta/sketches request.
|
||
|
func InsertHandlerForHTTP(at *auth.Token, req *http.Request) error {
|
||
|
extraLabels, err := parserCommon.GetExtraLabels(req)
|
||
|
if err != nil {
|
||
|
return err
|
||
|
}
|
||
|
ce := req.Header.Get("Content-Encoding")
|
||
|
return stream.Parse(req.Body, ce, func(sketches []*datadogsketches.Sketch) error {
|
||
|
return insertRows(at, sketches, extraLabels)
|
||
|
})
|
||
|
}
|
||
|
|
||
|
func insertRows(at *auth.Token, sketches []*datadogsketches.Sketch, extraLabels []prompbmarshal.Label) error {
|
||
|
ctx := common.GetPushCtx()
|
||
|
defer common.PutPushCtx(ctx)
|
||
|
|
||
|
rowsTotal := 0
|
||
|
tssDst := ctx.WriteRequest.Timeseries[:0]
|
||
|
labels := ctx.Labels[:0]
|
||
|
samples := ctx.Samples[:0]
|
||
|
for i := range sketches {
|
||
|
sketch := sketches[i]
|
||
|
metrics := sketch.ToHistogram()
|
||
|
rowsTotal += sketch.RowsCount()
|
||
|
for m := range metrics {
|
||
|
metric := metrics[m]
|
||
|
labelsLen := len(labels)
|
||
|
labels = append(labels, prompbmarshal.Label{
|
||
|
Name: "__name__",
|
||
|
Value: metric.Name,
|
||
|
})
|
||
|
for l := range metric.Labels {
|
||
|
label := metric.Labels[l]
|
||
|
labels = append(labels, prompbmarshal.Label{
|
||
|
Name: label.Name,
|
||
|
Value: label.Value,
|
||
|
})
|
||
|
}
|
||
|
for _, tag := range sketch.Tags {
|
||
|
name, value := datadogutils.SplitTag(tag)
|
||
|
if name == "host" {
|
||
|
name = "exported_host"
|
||
|
}
|
||
|
labels = append(labels, prompbmarshal.Label{
|
||
|
Name: name,
|
||
|
Value: value,
|
||
|
})
|
||
|
}
|
||
|
labels = append(labels, extraLabels...)
|
||
|
samplesLen := len(samples)
|
||
|
for p := range metric.Points {
|
||
|
point := metric.Points[p]
|
||
|
samples = append(samples, prompbmarshal.Sample{
|
||
|
Timestamp: sketch.Dogsketches[p].Ts * 1000,
|
||
|
Value: point,
|
||
|
})
|
||
|
}
|
||
|
tssDst = append(tssDst, prompbmarshal.TimeSeries{
|
||
|
Labels: labels[labelsLen:],
|
||
|
Samples: samples[samplesLen:],
|
||
|
})
|
||
|
}
|
||
|
}
|
||
|
ctx.WriteRequest.Timeseries = tssDst
|
||
|
ctx.Labels = labels
|
||
|
ctx.Samples = samples
|
||
|
if !remotewrite.TryPush(at, &ctx.WriteRequest) {
|
||
|
return remotewrite.ErrQueueFullHTTPRetry
|
||
|
}
|
||
|
rowsInserted.Add(rowsTotal)
|
||
|
if at != nil {
|
||
|
rowsTenantInserted.Get(at).Add(rowsTotal)
|
||
|
}
|
||
|
rowsPerInsert.Update(float64(rowsTotal))
|
||
|
return nil
|
||
|
}
|