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This option can be useful when samples for the same time series are ingested with distinct order of labels.
For example, metric{k1="v1",k2="v2"} and metric{k2="v2",k1="v1"}.
57 lines
1.5 KiB
Go
57 lines
1.5 KiB
Go
package graphite
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import (
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"io"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/common"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/relabel"
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parser "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/graphite"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/writeconcurrencylimiter"
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"github.com/VictoriaMetrics/metrics"
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)
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var (
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rowsInserted = metrics.NewCounter(`vm_rows_inserted_total{type="graphite"}`)
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rowsPerInsert = metrics.NewHistogram(`vm_rows_per_insert{type="graphite"}`)
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)
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// InsertHandler processes remote write for graphite plaintext protocol.
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//
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// See https://graphite.readthedocs.io/en/latest/feeding-carbon.html#the-plaintext-protocol
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func InsertHandler(r io.Reader) error {
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return writeconcurrencylimiter.Do(func() error {
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return parser.ParseStream(r, insertRows)
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})
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}
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func insertRows(rows []parser.Row) error {
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ctx := common.GetInsertCtx()
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defer common.PutInsertCtx(ctx)
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ctx.Reset(len(rows))
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hasRelabeling := relabel.HasRelabeling()
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for i := range rows {
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r := &rows[i]
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ctx.Labels = ctx.Labels[:0]
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ctx.AddLabel("", r.Metric)
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for j := range r.Tags {
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tag := &r.Tags[j]
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ctx.AddLabel(tag.Key, tag.Value)
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}
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if hasRelabeling {
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ctx.ApplyRelabeling()
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}
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if len(ctx.Labels) == 0 {
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// Skip metric without labels.
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continue
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}
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ctx.SortLabelsIfNeeded()
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if err := ctx.WriteDataPoint(nil, ctx.Labels, r.Timestamp, r.Value); err != nil {
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return err
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}
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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 ctx.FlushBufs()
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}
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