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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,127 @@ | ||
| // Copyright The OpenTelemetry Authors | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
|
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| package aggregate // import "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" | ||
|
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| import ( | ||
| "context" | ||
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| "go.opentelemetry.io/otel/attribute" | ||
| "go.opentelemetry.io/otel/sdk/metric/aggregation" | ||
| "go.opentelemetry.io/otel/sdk/metric/metricdata" | ||
| ) | ||
|
|
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| // Measure receives measurements to be aggregated. | ||
| type Measure[N int64 | float64] func(context.Context, N, attribute.Set) | ||
|
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| // ComputeAggregation stores the aggregate of measurements into dest and | ||
| // returns the number of aggregate data-points output. | ||
| type ComputeAggregation func(dest *metricdata.Aggregation) int | ||
|
|
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| // Builder builds an aggregate function. | ||
| type Builder[N int64 | float64] struct { | ||
| // Temporality is the temporality used for the returned aggregate function. | ||
| // | ||
| // If this is not provided a default of cumulative will be used (except for | ||
| // the last-value aggregate function where delta is the only appropriate | ||
| // temporality). | ||
| Temporality metricdata.Temporality | ||
| // Filter is the attribute filter the aggregate function will use on the | ||
| // input of measurements. | ||
| Filter attribute.Filter | ||
| } | ||
|
|
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| func (b Builder[N]) input(agg aggregator[N]) Measure[N] { | ||
| if b.Filter != nil { | ||
| agg = newFilter[N](agg, b.Filter) | ||
| } | ||
| return func(_ context.Context, n N, a attribute.Set) { | ||
| agg.Aggregate(n, a) | ||
| } | ||
| } | ||
|
|
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| // LastValue returns a last-value aggregate function input and output. | ||
| // | ||
| // The Builder.Temporality is ignored and delta is use always. | ||
| func (b Builder[N]) LastValue() (Measure[N], ComputeAggregation) { | ||
| // Delta temporality is the only temporality that makes semantic sense for | ||
| // a last-value aggregate. | ||
| lv := newLastValue[N]() | ||
|
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| return b.input(lv), func(dest *metricdata.Aggregation) int { | ||
| // TODO (#4220): optimize memory reuse here. | ||
| *dest = lv.Aggregation() | ||
|
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| gData, _ := (*dest).(metricdata.Gauge[N]) | ||
| return len(gData.DataPoints) | ||
| } | ||
| } | ||
|
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| // PrecomputedSum returns a sum aggregate function input and output. The | ||
| // arguments passed to the input are expected to be the precomputed sum values. | ||
| func (b Builder[N]) PrecomputedSum(monotonic bool) (Measure[N], ComputeAggregation) { | ||
| var s aggregator[N] | ||
| switch b.Temporality { | ||
| case metricdata.DeltaTemporality: | ||
| s = newPrecomputedDeltaSum[N](monotonic) | ||
| default: | ||
| s = newPrecomputedCumulativeSum[N](monotonic) | ||
| } | ||
|
|
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| return b.input(s), func(dest *metricdata.Aggregation) int { | ||
| // TODO (#4220): optimize memory reuse here. | ||
| *dest = s.Aggregation() | ||
|
|
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| sData, _ := (*dest).(metricdata.Sum[N]) | ||
| return len(sData.DataPoints) | ||
| } | ||
| } | ||
|
|
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| // Sum returns a sum aggregate function input and output. | ||
| func (b Builder[N]) Sum(monotonic bool) (Measure[N], ComputeAggregation) { | ||
| var s aggregator[N] | ||
| switch b.Temporality { | ||
| case metricdata.DeltaTemporality: | ||
| s = newDeltaSum[N](monotonic) | ||
| default: | ||
| s = newCumulativeSum[N](monotonic) | ||
| } | ||
|
|
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| return b.input(s), func(dest *metricdata.Aggregation) int { | ||
| // TODO (#4220): optimize memory reuse here. | ||
| *dest = s.Aggregation() | ||
|
|
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| sData, _ := (*dest).(metricdata.Sum[N]) | ||
| return len(sData.DataPoints) | ||
| } | ||
| } | ||
|
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| // ExplicitBucketHistogram returns a histogram aggregate function input and | ||
| // output. | ||
| func (b Builder[N]) ExplicitBucketHistogram(cfg aggregation.ExplicitBucketHistogram) (Measure[N], ComputeAggregation) { | ||
| var h aggregator[N] | ||
| switch b.Temporality { | ||
| case metricdata.DeltaTemporality: | ||
| h = newDeltaHistogram[N](cfg) | ||
| default: | ||
| h = newCumulativeHistogram[N](cfg) | ||
| } | ||
| return b.input(h), func(dest *metricdata.Aggregation) int { | ||
| // TODO (#4220): optimize memory reuse here. | ||
| *dest = h.Aggregation() | ||
|
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| hData, _ := (*dest).(metricdata.Histogram[N]) | ||
| return len(hData.DataPoints) | ||
| } | ||
| } |
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