mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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ee4a94a371
* adds datadog extensions for statsd:
- multiple packed values (v1.1)
- additional types distribution, histogram
* adds type check and append metric type to the labels with special tag
name `__statsd_metric_type__`. It simplifies streaming aggregation
config.
* remove statsd support from cluster, since cluster doesn't support
stream aggregation.
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit b2765c45d0)
Signed-off-by: hagen1778 <roman@victoriametrics.com>
72 lines
2 KiB
Go
72 lines
2 KiB
Go
package statsd
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import (
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"io"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmagent/common"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmagent/remotewrite"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/auth"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
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parser "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/statsd"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/statsd/stream"
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"github.com/VictoriaMetrics/metrics"
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)
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var (
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rowsInserted = metrics.NewCounter(`vmagent_rows_inserted_total{type="statsd"}`)
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rowsPerInsert = metrics.NewHistogram(`vmagent_rows_per_insert{type="statsd"}`)
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)
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// InsertHandler processes remote write for statsd plaintext protocol.
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//
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// See https://github.com/statsd/statsd/blob/master/docs/metric_types.md
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func InsertHandler(r io.Reader) error {
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return stream.Parse(r, false, func(rows []parser.Row) error {
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return insertRows(nil, rows)
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})
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}
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func insertRows(at *auth.Token, rows []parser.Row) error {
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ctx := common.GetPushCtx()
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defer common.PutPushCtx(ctx)
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tssDst := ctx.WriteRequest.Timeseries[:0]
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labels := ctx.Labels[:0]
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samples := ctx.Samples[:0]
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for i := range rows {
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r := &rows[i]
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labelsLen := len(labels)
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labels = append(labels, prompbmarshal.Label{
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Name: "__name__",
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Value: r.Metric,
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})
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for j := range r.Tags {
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tag := &r.Tags[j]
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labels = append(labels, prompbmarshal.Label{
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Name: tag.Key,
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Value: tag.Value,
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})
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}
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samplesLen := len(samples)
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for _, v := range r.Values {
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samples = append(samples, prompbmarshal.Sample{
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Value: v,
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Timestamp: r.Timestamp,
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})
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}
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tssDst = append(tssDst, prompbmarshal.TimeSeries{
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Labels: labels[labelsLen:],
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Samples: samples[samplesLen:],
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})
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}
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ctx.WriteRequest.Timeseries = tssDst
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ctx.Labels = labels
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ctx.Samples = samples
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if !remotewrite.TryPush(at, &ctx.WriteRequest) {
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return remotewrite.ErrQueueFullHTTPRetry
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}
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rowsInserted.Add(len(rows))
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rowsPerInsert.Update(float64(len(rows)))
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return nil
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}
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