5b58446f57
- Expose Go runtime histograms as summaries, since they have too many buckets, which may lead to high cardinality issues at scraper side. - Expose go_gc_pauses_seconds summary - Document exposed go_* metrics
62 lines
1.4 KiB
Go
62 lines
1.4 KiB
Go
package metrics
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import (
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"math"
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runtimemetrics "runtime/metrics"
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"strings"
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"testing"
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)
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func TestWriteRuntimeHistogramMetricOk(t *testing.T) {
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f := func(h *runtimemetrics.Float64Histogram, resultExpected string) {
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t.Helper()
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var wOut strings.Builder
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writeRuntimeHistogramMetric(&wOut, "foo", h)
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result := wOut.String()
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if result != resultExpected {
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t.Fatalf("unexpected result; got\n%s\nwant\n%s", result, resultExpected)
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}
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}
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f(&runtimemetrics.Float64Histogram{
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Counts: []uint64{1, 2, 3},
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Buckets: []float64{1, 2, 3, 4},
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}, `foo{quantile="0.5"} 3
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foo{quantile="0.9"} 4
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foo{quantile="0.97"} 4
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foo{quantile="0.99"} 4
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foo{quantile="1"} 4
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`)
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f(&runtimemetrics.Float64Histogram{
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Counts: []uint64{0, 25, 1, 0},
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Buckets: []float64{1, 2, 3, 4, math.Inf(1)},
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}, `foo{quantile="0.5"} 3
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foo{quantile="0.9"} 3
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foo{quantile="0.97"} 4
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foo{quantile="0.99"} 4
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foo{quantile="1"} 4
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`)
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f(&runtimemetrics.Float64Histogram{
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Counts: []uint64{0, 25, 1, 3, 0, 44, 15, 132, 10, 0},
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Buckets: []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, math.Inf(1)},
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}, `foo{quantile="0.5"} 9
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foo{quantile="0.9"} 9
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foo{quantile="0.97"} 10
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foo{quantile="0.99"} 10
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foo{quantile="1"} 10
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`)
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f(&runtimemetrics.Float64Histogram{
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Counts: []uint64{1, 5, 0},
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Buckets: []float64{math.Inf(-1), 4, 5, math.Inf(1)},
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}, `foo{quantile="0.5"} 5
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foo{quantile="0.9"} 5
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foo{quantile="0.97"} 5
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foo{quantile="0.99"} 5
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foo{quantile="1"} 5
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`)
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}
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