mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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a5d60ad78e
- Export streamaggr.LoadFromData() function, so it could be used in tests outside the lib/streamaggr package. This allows removing a hack with creation of temporary files at TestRemoteWriteContext_TryPush_ImmutableTimeseries. - Move common code for mustParsePromMetrics() function into lib/prompbmarshal package, so it could be used in tests for building []prompbmarshal.TimeSeries from string. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6205 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6206
71 lines
2 KiB
Go
71 lines
2 KiB
Go
package prompbmarshal
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import (
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"fmt"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/prometheus"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/slicesutil"
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)
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// MarshalProtobuf marshals wr to dst and returns the result.
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func (wr *WriteRequest) MarshalProtobuf(dst []byte) []byte {
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size := wr.Size()
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dstLen := len(dst)
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dst = slicesutil.SetLength(dst, dstLen+size)
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n, err := wr.MarshalToSizedBuffer(dst[dstLen:])
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if err != nil {
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panic(fmt.Errorf("BUG: unexpected error when marshaling WriteRequest: %w", err))
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}
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return dst[:dstLen+n]
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}
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// Reset resets wr.
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func (wr *WriteRequest) Reset() {
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wr.Timeseries = ResetTimeSeries(wr.Timeseries)
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}
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// ResetTimeSeries clears all the GC references from tss and returns an empty tss ready for further use.
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func ResetTimeSeries(tss []TimeSeries) []TimeSeries {
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clear(tss)
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return tss[:0]
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}
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// MustParsePromMetrics parses metrics in Prometheus text exposition format from s and returns them.
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//
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// Metrics must be delimited with newlines.
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//
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// offsetMsecs is added to every timestamp in parsed metrics.
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//
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// This function is for testing purposes only. Do not use it in non-test code.
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func MustParsePromMetrics(s string, offsetMsecs int64) []TimeSeries {
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var rows prometheus.Rows
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errLogger := func(s string) {
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panic(fmt.Errorf("unexpected error when parsing Prometheus metrics: %s", s))
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}
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rows.UnmarshalWithErrLogger(s, errLogger)
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tss := make([]TimeSeries, 0, len(rows.Rows))
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samples := make([]Sample, 0, len(rows.Rows))
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for _, row := range rows.Rows {
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labels := make([]Label, 0, len(row.Tags)+1)
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labels = append(labels, Label{
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Name: "__name__",
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Value: row.Metric,
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})
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for _, tag := range row.Tags {
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labels = append(labels, 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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samples = append(samples, Sample{
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Value: row.Value,
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Timestamp: row.Timestamp + offsetMsecs,
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})
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ts := TimeSeries{
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Labels: labels,
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Samples: samples[len(samples)-1:],
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}
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tss = append(tss, ts)
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}
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return tss
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}
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