package simple

import "go.opentelemetry.io/otel/sdk/metric/selector/simple"

Index ¶

• func NewWithExactDistribution() export.AggregatorSelector
• func NewWithHistogramDistribution(boundaries []float64) export.AggregatorSelector
• func NewWithInexpensiveDistribution() export.AggregatorSelector
• func NewWithSketchDistribution(config *ddsketch.Config) export.AggregatorSelector

Functions ¶

func NewWithExactDistribution ¶

func NewWithExactDistribution() export.AggregatorSelector

NewWithExactDistribution 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 NewWithSketchDistribution because it aggregates an array of all values, therefore is able to compute exact quantiles.

func NewWithHistogramDistribution ¶

func NewWithHistogramDistribution(boundaries []float64) export.AggregatorSelector

NewWithHistogramDistribution 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 NewWithInexpensiveDistribution because it uses a counter per bucket.

func NewWithInexpensiveDistribution ¶

func NewWithInexpensiveDistribution() export.AggregatorSelector

NewWithInexpensiveDistribution 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 NewWithSketchDistribution ¶

func NewWithSketchDistribution(config *ddsketch.Config) export.AggregatorSelector

NewWithSketchDistribution 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 NewWithInexpensiveDistribution because it uses one DDSketch per distinct instrument and label set.

Source Files ¶

simple.go