mirror of
https://github.com/go-gitea/gitea
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112 lines
2.7 KiB
Go
112 lines
2.7 KiB
Go
package stats
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import "fmt"
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// Type is the type of aggregation of apply
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type Type int
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const (
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AggregateAvg Type = iota
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AggregateSum
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AggregateHistogram
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)
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var (
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// HistogramPercentiles is used to determine which percentiles to return for
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// SimpleCounter.Aggregate
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HistogramPercentiles = map[string]float64{
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"p50": 0.5,
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"p95": 0.95,
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"p99": 0.99,
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}
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// MinSamplesForPercentiles is used by SimpleCounter.Aggregate to determine
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// what the minimum number of samples is required for percentile analysis
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MinSamplesForPercentiles = 10
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)
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// Aggregates can be used to merge counters together. This is not goroutine safe
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type Aggregates map[string]Counter
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// Add adds the counter for aggregation. This is not goroutine safe
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func (a Aggregates) Add(c Counter) error {
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key := c.FullKey()
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if counter, ok := a[key]; ok {
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if counter.GetType() != c.GetType() {
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return fmt.Errorf("stats: mismatched aggregation type for: %s", key)
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}
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counter.AddValues(c.GetValues()...)
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} else {
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a[key] = c
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}
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return nil
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}
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// Counter is the interface used by Aggregates to merge counters together
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type Counter interface {
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// FullKey is used to uniquely identify the counter
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FullKey() string
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// AddValues adds values for aggregation
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AddValues(...float64)
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// GetValues returns the values for aggregation
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GetValues() []float64
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// GetType returns the type of aggregation to apply
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GetType() Type
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}
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// SimpleCounter is a basic implementation of the Counter interface
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type SimpleCounter struct {
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Key string
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Values []float64
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Type Type
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}
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// FullKey is part of the Counter interace
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func (s *SimpleCounter) FullKey() string {
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return s.Key
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}
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// GetValues is part of the Counter interface
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func (s *SimpleCounter) GetValues() []float64 {
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return s.Values
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}
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// AddValues is part of the Counter interface
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func (s *SimpleCounter) AddValues(vs ...float64) {
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s.Values = append(s.Values, vs...)
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}
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// GetType is part of the Counter interface
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func (s *SimpleCounter) GetType() Type {
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return s.Type
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}
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// Aggregate aggregates the provided values appropriately, returning a map
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// from key to value. If AggregateHistogram is specified, the map will contain
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// the relevant percentiles as specified by HistogramPercentiles
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func (s *SimpleCounter) Aggregate() map[string]float64 {
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switch s.Type {
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case AggregateAvg:
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return map[string]float64{
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s.Key: Average(s.Values),
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}
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case AggregateSum:
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return map[string]float64{
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s.Key: Sum(s.Values),
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}
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case AggregateHistogram:
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histogram := map[string]float64{
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s.Key: Average(s.Values),
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}
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if len(s.Values) > MinSamplesForPercentiles {
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for k, v := range Percentiles(s.Values, HistogramPercentiles) {
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histogram[fmt.Sprintf("%s.%s", s.Key, k)] = v
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}
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}
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return histogram
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}
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panic("stats: unsupported aggregation type")
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}
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