// 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. package simple // import "go.opentelemetry.io/otel/sdk/metric/selector/simple" import ( "go.opentelemetry.io/otel/api/core" "go.opentelemetry.io/otel/api/metric" export "go.opentelemetry.io/otel/sdk/export/metric" "go.opentelemetry.io/otel/sdk/metric/aggregator/array" "go.opentelemetry.io/otel/sdk/metric/aggregator/ddsketch" "go.opentelemetry.io/otel/sdk/metric/aggregator/histogram" "go.opentelemetry.io/otel/sdk/metric/aggregator/minmaxsumcount" "go.opentelemetry.io/otel/sdk/metric/aggregator/sum" ) type ( selectorInexpensive struct{} selectorExact struct{} selectorSketch struct { config *ddsketch.Config } selectorHistogram struct { boundaries []core.Number } ) var ( _ export.AggregationSelector = selectorInexpensive{} _ export.AggregationSelector = selectorSketch{} _ export.AggregationSelector = selectorExact{} _ export.AggregationSelector = selectorHistogram{} ) // NewWithInexpensiveMeasure returns a simple aggregation selector // that uses counter, minmaxsumcount and minmaxsumcount aggregators // for the three kinds of metric. This selector is faster and uses // less memory than the others because minmaxsumcount does not // aggregate quantile information. func NewWithInexpensiveMeasure() export.AggregationSelector { return selectorInexpensive{} } // NewWithSketchMeasure returns a simple aggregation selector that // uses counter, ddsketch, and ddsketch aggregators for the three // kinds of metric. This selector uses more cpu and memory than the // NewWithInexpensiveMeasure because it uses one DDSketch per distinct // measure/observer and labelset. func NewWithSketchMeasure(config *ddsketch.Config) export.AggregationSelector { return selectorSketch{ config: config, } } // NewWithExactMeasure returns a simple aggregation selector that uses // counter, array, and array aggregators for the three kinds of metric. // This selector uses more memory than the NewWithSketchMeasure // because it aggregates an array of all values, therefore is able to // compute exact quantiles. func NewWithExactMeasure() export.AggregationSelector { return selectorExact{} } // NewWithHistogramMeasure returns a simple aggregation selector that uses counter, // histogram, and histogram aggregators for the three kinds of metric. This // selector uses more memory than the NewWithInexpensiveMeasure because it // uses a counter per bucket. func NewWithHistogramMeasure(boundaries []core.Number) export.AggregationSelector { return selectorHistogram{boundaries: boundaries} } func (selectorInexpensive) AggregatorFor(descriptor *metric.Descriptor) export.Aggregator { switch descriptor.MetricKind() { case metric.ObserverKind: fallthrough case metric.MeasureKind: return minmaxsumcount.New(descriptor) default: return sum.New() } } func (s selectorSketch) AggregatorFor(descriptor *metric.Descriptor) export.Aggregator { switch descriptor.MetricKind() { case metric.ObserverKind: fallthrough case metric.MeasureKind: return ddsketch.New(s.config, descriptor) default: return sum.New() } } func (selectorExact) AggregatorFor(descriptor *metric.Descriptor) export.Aggregator { switch descriptor.MetricKind() { case metric.ObserverKind: fallthrough case metric.MeasureKind: return array.New() default: return sum.New() } } func (s selectorHistogram) AggregatorFor(descriptor *metric.Descriptor) export.Aggregator { switch descriptor.MetricKind() { case metric.ObserverKind: fallthrough case metric.MeasureKind: return histogram.New(descriptor, s.boundaries) default: return sum.New() } }