Documentation
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Index ¶
Constants ¶
This section is empty.
Variables ¶
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Functions ¶
func NewWithExactDistribution ¶ added in v0.6.0
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 ¶ added in v0.6.0
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 ¶ added in v0.6.0
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 ¶ added in v0.6.0
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.
Types ¶
This section is empty.
Source Files