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Use embedded broadcaster metrics instead of a separate monitoring ser…
…vice (#163) Use embedded Broadcaster metrics instead of external monitoring service
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,138 @@ | ||
| package main | ||
|
|
||
| import ( | ||
| "go.opencensus.io/stats/view" | ||
| "sync" | ||
| ) | ||
|
|
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| type broadcasterMetrics struct { | ||
| // Distribution metrics grouped by metric name | ||
| lastSum map[string]float64 | ||
| lastCount map[string]int | ||
| rateSum map[string]float64 | ||
| rateCount map[string]int | ||
|
|
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| // Error count metrics by grouped by error_code tag | ||
| lastErrs map[string]int | ||
| incErrs map[string]int | ||
|
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| mu sync.Mutex | ||
| } | ||
|
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| func newBroadcasterMetrics() *broadcasterMetrics { | ||
| return &broadcasterMetrics{ | ||
| lastSum: map[string]float64{}, | ||
| lastCount: map[string]int{}, | ||
| rateSum: map[string]float64{}, | ||
| rateCount: map[string]int{}, | ||
| lastErrs: map[string]int{}, | ||
| incErrs: map[string]int{}, | ||
| mu: sync.Mutex{}, | ||
| } | ||
| } | ||
|
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| func (bm *broadcasterMetrics) reset() { | ||
| bm.mu.Lock() | ||
| defer bm.mu.Unlock() | ||
|
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| bm.rateSum = map[string]float64{} | ||
| bm.rateCount = map[string]int{} | ||
| bm.incErrs = map[string]int{} | ||
| } | ||
|
|
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| func (bm broadcasterMetrics) ExportView(viewData *view.Data) { | ||
| bm.mu.Lock() | ||
| defer bm.mu.Unlock() | ||
|
|
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| name := viewData.View.Name | ||
| rows := viewData.Rows | ||
| if len(rows) <= 0 { | ||
| return | ||
| } | ||
|
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| bm.handleDistributionMetrics(rows, name) | ||
| bm.handleErrorCountMetrics(rows, name) | ||
| } | ||
|
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| func (bm broadcasterMetrics) handleDistributionMetrics(rows []*view.Row, name string) { | ||
| supportedMetrics := map[string]bool{ | ||
| "source_segment_duration_seconds": true, | ||
| "transcode_overall_latency_seconds": true, | ||
| "upload_time_seconds": true, | ||
| "download_time_seconds": true, | ||
| } | ||
| if !supportedMetrics[name] { | ||
| return | ||
| } | ||
|
|
||
| // Sum metrics with different tags | ||
| var sum float64 | ||
| var count int | ||
| for _, r := range rows { | ||
| d, ok := r.Data.(*view.DistributionData) | ||
| if ok { | ||
| sum += d.Sum() | ||
| count += int(d.Count) | ||
| } | ||
| } | ||
|
|
||
| // Get the rate between the last measurement | ||
| rateSum := sum - bm.lastSum[name] | ||
| rateCount := count - bm.lastCount[name] | ||
|
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| bm.rateSum[name] += rateSum | ||
| bm.rateCount[name] += rateCount | ||
| bm.lastSum[name] = sum | ||
| bm.lastCount[name] = count | ||
| } | ||
|
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||
| func (bm broadcasterMetrics) handleErrorCountMetrics(rows []*view.Row, name string) { | ||
| supportedMetrics := map[string]bool{ | ||
| "segment_source_upload_failed_total": true, | ||
| "discovery_errors_total": true, | ||
| "segment_transcode_failed_total": true, | ||
| } | ||
| if !supportedMetrics[name] { | ||
| return | ||
| } | ||
|
|
||
| for _, r := range rows { | ||
| var errCode string | ||
| for _, t := range r.Tags { | ||
| if t.Key.Name() == "error_code" { | ||
| errCode = t.Value | ||
| } | ||
| } | ||
| if errCode == "" { | ||
| return | ||
| } | ||
|
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| d, ok := r.Data.(*view.CountData) | ||
| if ok { | ||
| inc := int(d.Value) - bm.lastErrs[errCode] | ||
| bm.incErrs[errCode] += inc | ||
| bm.lastErrs[errCode] = int(d.Value) | ||
| } | ||
| } | ||
| } | ||
|
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| func (bm *broadcasterMetrics) avg(m string) float64 { | ||
| bm.mu.Lock() | ||
| defer bm.mu.Unlock() | ||
|
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| if bm.rateCount[m] <= 0 { | ||
| return 0 | ||
| } | ||
| return bm.rateSum[m] / float64(bm.rateCount[m]) | ||
| } | ||
|
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| func (bm *broadcasterMetrics) errorCount() map[string]int { | ||
| bm.mu.Lock() | ||
| bm.mu.Unlock() | ||
|
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| res := map[string]int{} | ||
| for key, value := range bm.incErrs { | ||
| res[key] = value | ||
| } | ||
| return res | ||
| } |
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