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histograms: Fix parsing float histograms without zero bucket 

If a float histogram has a zero bucket with a threshold of zero _and_
an empty zero bucket, it wasn't identified as a native histogram
because the `isNativeHistogram` helper function only looked at integer
buckets.

Signed-off-by: beorn7 <beorn@grafana.com>
This commit is contained in:
beorn7 2023-07-19 00:59:41 +02:00
parent 2ea8df4734
commit 071f4bbea4
1 changed files with 6 additions and 4 deletions
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10
model/textparse/protobufparse.go
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@ -105,7 +105,7 @@ func (p *ProtobufParser) Series() ([]byte, *int64, float64) {
v = float64(s.GetSampleCount()) v = float64(s.GetSampleCount())
case -1: case -1:
v = s.GetSampleSum() v = s.GetSampleSum()
// Need to detect a summaries without quantile here. // Need to detect summaries without quantile here.
if len(s.GetQuantile()) == 0 { if len(s.GetQuantile()) == 0 {
p.fieldsDone = true p.fieldsDone = true
} }
@ -564,8 +564,10 @@ func formatOpenMetricsFloat(f float64) string {
// deciding if a histogram should be ingested as a conventional one or a native // deciding if a histogram should be ingested as a conventional one or a native
// one. // one.
func isNativeHistogram(h *dto.Histogram) bool { func isNativeHistogram(h *dto.Histogram) bool {
return len(h.GetNegativeDelta()) > 0 || return h.GetZeroThreshold() > 0 ||
len(h.GetPositiveDelta()) > 0 ||
h.GetZeroCount() > 0 || h.GetZeroCount() > 0 ||
h.GetZeroThreshold() > 0 len(h.GetNegativeDelta()) > 0 ||
len(h.GetPositiveDelta()) > 0 ||
len(h.GetNegativeCount()) > 0 ||
len(h.GetPositiveCount()) > 0
} }