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Merge pull request #12577 from prometheus/beorn7/histogram3
histograms: Fix parsing of float histograms without zero bucket
This commit is contained in:
Björn Rabenstein
GitHub
commit
266e27870e
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@ -105,7 +105,7 @@ func (p *ProtobufParser) Series() ([]byte, *int64, float64) {
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v = float64(s.GetSampleCount())
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case -1:
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v = s.GetSampleSum()
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// Need to detect a summaries without quantile here.
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// Need to detect summaries without quantile here.
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if len(s.GetQuantile()) == 0 {
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p.fieldsDone = true
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}
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@ -564,8 +564,10 @@ func formatOpenMetricsFloat(f float64) string {
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// deciding if a histogram should be ingested as a conventional one or a native
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// one.
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func isNativeHistogram(h *dto.Histogram) bool {
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return len(h.GetNegativeDelta()) > 0 ||
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len(h.GetPositiveDelta()) > 0 ||
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return h.GetZeroThreshold() > 0 ||
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h.GetZeroCount() > 0 ||
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h.GetZeroThreshold() > 0
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len(h.GetNegativeDelta()) > 0 ||
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len(h.GetPositiveDelta()) > 0 ||
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len(h.GetNegativeCount()) > 0 ||
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len(h.GetPositiveCount()) > 0
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}
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@ -463,6 +463,24 @@ metric: <
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>
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>
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`,
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`name: "test_float_histogram_with_zerothreshold_zero"
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help: "Test float histogram with a zero threshold of zero."
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type: HISTOGRAM
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metric: <
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histogram: <
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sample_count_float: 5.0
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sample_sum: 12.1
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schema: 3
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positive_span: <
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offset: 8
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length: 2
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>
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positive_count: 2.0
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positive_count: 3.0
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>
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>
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`,
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`name: "rpc_durations_seconds"
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help: "RPC latency distributions."
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@ -850,6 +868,30 @@ func TestProtobufParse(t *testing.T) {
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"foo", "baz",
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),
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},
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{
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m: "test_float_histogram_with_zerothreshold_zero",
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help: "Test float histogram with a zero threshold of zero.",
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},
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{
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m: "test_float_histogram_with_zerothreshold_zero",
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typ: MetricTypeHistogram,
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},
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{
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m: "test_float_histogram_with_zerothreshold_zero",
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fhs: &histogram.FloatHistogram{
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Count: 5.0,
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Sum: 12.1,
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Schema: 3,
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PositiveSpans: []histogram.Span{
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{Offset: 8, Length: 2},
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},
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PositiveBuckets: []float64{2.0, 3.0},
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NegativeSpans: []histogram.Span{},
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},
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lset: labels.FromStrings(
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"__name__", "test_float_histogram_with_zerothreshold_zero",
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),
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},
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{
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m: "rpc_durations_seconds",
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help: "RPC latency distributions.",
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@ -1550,14 +1592,38 @@ func TestProtobufParse(t *testing.T) {
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),
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},
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{ // 67
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m: "test_float_histogram_with_zerothreshold_zero",
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help: "Test float histogram with a zero threshold of zero.",
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},
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{ // 68
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m: "test_float_histogram_with_zerothreshold_zero",
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typ: MetricTypeHistogram,
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},
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{ // 69
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m: "test_float_histogram_with_zerothreshold_zero",
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fhs: &histogram.FloatHistogram{
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Count: 5.0,
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Sum: 12.1,
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Schema: 3,
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PositiveSpans: []histogram.Span{
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{Offset: 8, Length: 2},
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},
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PositiveBuckets: []float64{2.0, 3.0},
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NegativeSpans: []histogram.Span{},
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},
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lset: labels.FromStrings(
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"__name__", "test_float_histogram_with_zerothreshold_zero",
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),
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},
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{ // 70
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m: "rpc_durations_seconds",
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help: "RPC latency distributions.",
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},
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{ // 68
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{ // 71
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m: "rpc_durations_seconds",
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typ: MetricTypeSummary,
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},
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{ // 69
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{ // 72
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m: "rpc_durations_seconds_count\xffservice\xffexponential",
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v: 262,
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lset: labels.FromStrings(
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@ -1565,7 +1631,7 @@ func TestProtobufParse(t *testing.T) {
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"service", "exponential",
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),
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},
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{ // 70
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{ // 73
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m: "rpc_durations_seconds_sum\xffservice\xffexponential",
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v: 0.00025551262820703587,
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lset: labels.FromStrings(
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@ -1573,7 +1639,7 @@ func TestProtobufParse(t *testing.T) {
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"service", "exponential",
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),
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},
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{ // 71
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{ // 74
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m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.5",
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v: 6.442786329648548e-07,
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lset: labels.FromStrings(
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@ -1582,7 +1648,7 @@ func TestProtobufParse(t *testing.T) {
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"service", "exponential",
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),
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},
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{ // 72
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{ // 75
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m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.9",
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v: 1.9435742936658396e-06,
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lset: labels.FromStrings(
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@ -1591,7 +1657,7 @@ func TestProtobufParse(t *testing.T) {
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"service", "exponential",
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),
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},
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{ // 73
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{ // 76
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m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.99",
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v: 4.0471608667037015e-06,
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lset: labels.FromStrings(
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@ -1600,22 +1666,22 @@ func TestProtobufParse(t *testing.T) {
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"service", "exponential",
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),
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},
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{ // 74
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{ // 77
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m: "without_quantiles",
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help: "A summary without quantiles.",
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},
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{ // 75
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{ // 78
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m: "without_quantiles",
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typ: MetricTypeSummary,
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},
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{ // 76
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{ // 79
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m: "without_quantiles_count",
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v: 42,
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lset: labels.FromStrings(
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"__name__", "without_quantiles_count",
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),
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},
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{ // 77
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{ // 80
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m: "without_quantiles_sum",
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v: 1.234,
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lset: labels.FromStrings(
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@ -335,18 +335,41 @@ func TestFederationWithNativeHistograms(t *testing.T) {
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},
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NegativeBuckets: []int64{1, 1, -1, 0},
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}
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histWithoutZeroBucket := &histogram.Histogram{
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Count: 20,
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Sum: 99.23,
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Schema: 1,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []int64{2, 2, -2, 0},
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NegativeSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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NegativeBuckets: []int64{2, 2, -2, 0},
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}
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app := db.Appender(context.Background())
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for i := 0; i < 6; i++ {
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l := labels.FromStrings("__name__", "test_metric", "foo", fmt.Sprintf("%d", i))
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expL := labels.FromStrings("__name__", "test_metric", "instance", "", "foo", fmt.Sprintf("%d", i))
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if i%3 == 0 {
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switch i {
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case 0, 3:
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_, err = app.Append(0, l, 100*60*1000, float64(i*100))
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expVec = append(expVec, promql.Sample{
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T: 100 * 60 * 1000,
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F: float64(i * 100),
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Metric: expL,
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})
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} else {
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case 4:
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_, err = app.AppendHistogram(0, l, 100*60*1000, histWithoutZeroBucket.Copy(), nil)
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expVec = append(expVec, promql.Sample{
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T: 100 * 60 * 1000,
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H: histWithoutZeroBucket.ToFloat(),
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Metric: expL,
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})
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default:
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hist.ZeroCount++
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_, err = app.AppendHistogram(0, l, 100*60*1000, hist.Copy(), nil)
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expVec = append(expVec, promql.Sample{
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