Add option to reset buckets on flush to histogram aggregator (#5641)
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@ -7,8 +7,9 @@ Values added to a bucket are also added to the larger buckets in the
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distribution. This creates a [cumulative histogram](https://en.wikipedia.org/wiki/Histogram#/media/File:Cumulative_vs_normal_histogram.svg).
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Like other Telegraf aggregators, the metric is emitted every `period` seconds.
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Bucket counts however are not reset between periods and will be non-strictly
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increasing while Telegraf is running.
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By default bucket counts are not reset between periods and will be non-strictly
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increasing while Telegraf is running. This behavior can be changed by setting the
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`reset` parameter to true.
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#### Design
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@ -34,6 +35,10 @@ of the algorithm which is implemented in the Prometheus
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## aggregator and will not get sent to the output plugins.
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drop_original = false
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## If true, the histogram will be reset on flush instead
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## of accumulating the results.
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reset = false
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## Example config that aggregates all fields of the metric.
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# [[aggregators.histogram.config]]
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# ## The set of buckets.
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@ -17,6 +17,7 @@ const bucketInf = "+Inf"
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// HistogramAggregator is aggregator with histogram configs and particular histograms for defined metrics
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type HistogramAggregator struct {
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Configs []config `toml:"config"`
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ResetBuckets bool `toml:"reset"`
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buckets bucketsByMetrics
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cache map[uint64]metricHistogramCollection
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@ -72,6 +73,10 @@ var sampleConfig = `
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## aggregator and will not get sent to the output plugins.
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drop_original = false
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## If true, the histogram will be reset on flush instead
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## of accumulating the results.
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reset = false
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## Example config that aggregates all fields of the metric.
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# [[aggregators.histogram.config]]
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# ## The set of buckets.
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@ -201,9 +206,15 @@ func (h *HistogramAggregator) groupField(
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)
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}
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// Reset does nothing, because we need to collect counts for a long time, otherwise if config parameter 'reset' has
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// small value, we will get a histogram with a small amount of the distribution.
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func (h *HistogramAggregator) Reset() {}
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// Reset does nothing by default, because we typically need to collect counts for a long time.
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// Otherwise if config parameter 'reset' has 'true' value, we will get a histogram
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// with a small amount of the distribution. However in some use cases a reset is useful.
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func (h *HistogramAggregator) Reset() {
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if h.ResetBuckets {
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h.resetCache()
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h.buckets = make(bucketsByMetrics)
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}
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}
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// resetCache resets cached counts(hits) in the buckets
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func (h *HistogramAggregator) resetCache() {
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@ -12,8 +12,8 @@ import (
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)
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// NewTestHistogram creates new test histogram aggregation with specified config
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func NewTestHistogram(cfg []config) telegraf.Aggregator {
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htm := &HistogramAggregator{Configs: cfg}
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func NewTestHistogram(cfg []config, reset bool) telegraf.Aggregator {
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htm := &HistogramAggregator{Configs: cfg, ResetBuckets: reset}
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htm.buckets = make(bucketsByMetrics)
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htm.resetCache()
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@ -69,11 +69,12 @@ func BenchmarkApply(b *testing.B) {
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func TestHistogramWithPeriodAndOneField(t *testing.T) {
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var cfg []config
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cfg = append(cfg, config{Metric: "first_metric_name", Fields: []string{"a"}, Buckets: []float64{0.0, 10.0, 20.0, 30.0, 40.0}})
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histogram := NewTestHistogram(cfg)
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histogram := NewTestHistogram(cfg, false)
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acc := &testutil.Accumulator{}
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histogram.Add(firstMetric1)
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histogram.Reset()
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histogram.Add(firstMetric2)
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histogram.Push(acc)
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@ -88,12 +89,36 @@ func TestHistogramWithPeriodAndOneField(t *testing.T) {
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assertContainsTaggedField(t, acc, "first_metric_name", map[string]interface{}{"a_bucket": int64(2)}, bucketInf)
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}
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// TestHistogramWithPeriodAndOneField tests metrics for one period and for one field
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func TestHistogramWithReset(t *testing.T) {
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var cfg []config
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cfg = append(cfg, config{Metric: "first_metric_name", Fields: []string{"a"}, Buckets: []float64{0.0, 10.0, 20.0, 30.0, 40.0}})
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histogram := NewTestHistogram(cfg, true)
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acc := &testutil.Accumulator{}
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histogram.Add(firstMetric1)
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histogram.Reset()
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histogram.Add(firstMetric2)
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histogram.Push(acc)
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if len(acc.Metrics) != 6 {
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assert.Fail(t, "Incorrect number of metrics")
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}
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assertContainsTaggedField(t, acc, "first_metric_name", map[string]interface{}{"a_bucket": int64(0)}, "0")
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assertContainsTaggedField(t, acc, "first_metric_name", map[string]interface{}{"a_bucket": int64(0)}, "10")
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assertContainsTaggedField(t, acc, "first_metric_name", map[string]interface{}{"a_bucket": int64(1)}, "20")
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assertContainsTaggedField(t, acc, "first_metric_name", map[string]interface{}{"a_bucket": int64(1)}, "30")
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assertContainsTaggedField(t, acc, "first_metric_name", map[string]interface{}{"a_bucket": int64(1)}, "40")
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assertContainsTaggedField(t, acc, "first_metric_name", map[string]interface{}{"a_bucket": int64(1)}, bucketInf)
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}
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// TestHistogramWithPeriodAndAllFields tests two metrics for one period and for all fields
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func TestHistogramWithPeriodAndAllFields(t *testing.T) {
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var cfg []config
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cfg = append(cfg, config{Metric: "first_metric_name", Buckets: []float64{0.0, 15.5, 20.0, 30.0, 40.0}})
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cfg = append(cfg, config{Metric: "second_metric_name", Buckets: []float64{0.0, 4.0, 10.0, 23.0, 30.0}})
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histogram := NewTestHistogram(cfg)
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histogram := NewTestHistogram(cfg, false)
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acc := &testutil.Accumulator{}
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@ -127,7 +152,7 @@ func TestHistogramDifferentPeriodsAndAllFields(t *testing.T) {
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var cfg []config
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cfg = append(cfg, config{Metric: "first_metric_name", Buckets: []float64{0.0, 10.0, 20.0, 30.0, 40.0}})
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histogram := NewTestHistogram(cfg)
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histogram := NewTestHistogram(cfg, false)
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acc := &testutil.Accumulator{}
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histogram.Add(firstMetric1)
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@ -166,7 +191,7 @@ func TestWrongBucketsOrder(t *testing.T) {
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var cfg []config
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cfg = append(cfg, config{Metric: "first_metric_name", Buckets: []float64{0.0, 90.0, 20.0, 30.0, 40.0}})
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histogram := NewTestHistogram(cfg)
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histogram := NewTestHistogram(cfg, false)
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histogram.Add(firstMetric2)
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}
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