a9657e2660
This is real duration, calculated by subtracting the last Result's timestamp with the first Result's timestamp. Garbage collection and go routine scheduling delays can affect this number. Fixes #29
79 lines
2.2 KiB
Go
79 lines
2.2 KiB
Go
package vegeta
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import (
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"strconv"
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"time"
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"github.com/bmizerany/perks/quantile"
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)
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// Metrics holds the stats computed out of a slice of Results
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// that is used for some of the Reporters
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type Metrics struct {
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Latencies struct {
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Mean time.Duration `json:"mean"`
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P95 time.Duration `json:"95th"` // P95 is the 95th percentile upper value
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P99 time.Duration `json:"99th"` // P99 is the 99th percentile upper value
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Max time.Duration `json:"max"`
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} `json:"latencies"`
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BytesIn struct {
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Total uint64 `json:"total"`
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Mean float64 `json:"mean"`
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} `json:"bytes_in"`
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BytesOut struct {
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Total uint64 `json:"total"`
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Mean float64 `json:"mean"`
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} `json:"bytes_out"`
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Duration time.Duration `json:"duration"`
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Requests uint64 `json:"requests"`
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Success float64 `json:"success"`
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StatusCodes map[string]int `json:"status_codes"`
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Errors []string `json:"errors"`
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}
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// NewMetrics computes and returns a Metrics struct out of a slice of Results
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func NewMetrics(results []Result) *Metrics {
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m := &Metrics{
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Requests: uint64(len(results)),
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StatusCodes: map[string]int{},
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}
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errorSet := map[string]struct{}{}
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quants := quantile.NewTargeted(0.95, 0.99)
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totalSuccess, totalLatencies := 0, time.Duration(0)
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for _, result := range results {
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quants.Insert(float64(result.Latency))
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m.StatusCodes[strconv.Itoa(int(result.Code))]++
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totalLatencies += result.Latency
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m.BytesOut.Total += result.BytesOut
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m.BytesIn.Total += result.BytesIn
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if result.Latency > m.Latencies.Max {
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m.Latencies.Max = result.Latency
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}
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if result.Code >= 200 && result.Code < 300 {
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totalSuccess++
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}
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if result.Error != "" {
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errorSet[result.Error] = struct{}{}
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}
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}
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m.Duration = results[len(results)-1].Timestamp.Sub(results[0].Timestamp)
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m.Latencies.Mean = time.Duration(float64(totalLatencies) / float64(m.Requests))
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m.Latencies.P95 = time.Duration(quants.Query(0.95))
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m.Latencies.P99 = time.Duration(quants.Query(0.99))
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m.BytesIn.Mean = float64(m.BytesIn.Total) / float64(m.Requests)
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m.BytesOut.Mean = float64(m.BytesOut.Total) / float64(m.Requests)
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m.Success = float64(totalSuccess) / float64(m.Requests)
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m.Errors = make([]string, 0, len(errorSet))
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for err := range errorSet {
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m.Errors = append(m.Errors, err)
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}
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return m
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}
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