diff options
Diffstat (limited to 'vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go')
-rw-r--r-- | vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go | 21 |
1 files changed, 10 insertions, 11 deletions
diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go index 707342408..336ea91d1 100644 --- a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go @@ -12,7 +12,6 @@ import ( "go.opentelemetry.io/otel" "go.opentelemetry.io/otel/attribute" - "go.opentelemetry.io/otel/sdk/metric/internal/exemplar" "go.opentelemetry.io/otel/sdk/metric/metricdata" ) @@ -31,7 +30,7 @@ const ( // expoHistogramDataPoint is a single data point in an exponential histogram. type expoHistogramDataPoint[N int64 | float64] struct { attrs attribute.Set - res exemplar.FilteredReservoir[N] + res FilteredExemplarReservoir[N] count uint64 min N @@ -51,16 +50,16 @@ type expoHistogramDataPoint[N int64 | float64] struct { func newExpoHistogramDataPoint[N int64 | float64](attrs attribute.Set, maxSize int, maxScale int32, noMinMax, noSum bool) *expoHistogramDataPoint[N] { f := math.MaxFloat64 - max := N(f) // if N is int64, max will overflow to -9223372036854775808 - min := N(-f) + ma := N(f) // if N is int64, max will overflow to -9223372036854775808 + mi := N(-f) if N(maxInt64) > N(f) { - max = N(maxInt64) - min = N(minInt64) + ma = N(maxInt64) + mi = N(minInt64) } return &expoHistogramDataPoint[N]{ attrs: attrs, - min: max, - max: min, + min: ma, + max: mi, maxSize: maxSize, noMinMax: noMinMax, noSum: noSum, @@ -284,7 +283,7 @@ func (b *expoBuckets) downscale(delta int32) { // newExponentialHistogram returns an Aggregator that summarizes a set of // measurements as an exponential histogram. Each histogram is scoped by attributes // and the aggregation cycle the measurements were made in. -func newExponentialHistogram[N int64 | float64](maxSize, maxScale int32, noMinMax, noSum bool, limit int, r func() exemplar.FilteredReservoir[N]) *expoHistogram[N] { +func newExponentialHistogram[N int64 | float64](maxSize, maxScale int32, noMinMax, noSum bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *expoHistogram[N] { return &expoHistogram[N]{ noSum: noSum, noMinMax: noMinMax, @@ -307,7 +306,7 @@ type expoHistogram[N int64 | float64] struct { maxSize int maxScale int32 - newRes func() exemplar.FilteredReservoir[N] + newRes func(attribute.Set) FilteredExemplarReservoir[N] limit limiter[*expoHistogramDataPoint[N]] values map[attribute.Distinct]*expoHistogramDataPoint[N] valuesMu sync.Mutex @@ -328,7 +327,7 @@ func (e *expoHistogram[N]) measure(ctx context.Context, value N, fltrAttr attrib v, ok := e.values[attr.Equivalent()] if !ok { v = newExpoHistogramDataPoint[N](attr, e.maxSize, e.maxScale, e.noMinMax, e.noSum) - v.res = e.newRes() + v.res = e.newRes(attr) e.values[attr.Equivalent()] = v } |