Add control over which stats to gather in basicstats aggregator (#3580)
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@ -8,14 +8,26 @@ emitting the aggregate every `period` seconds.
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```toml
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```toml
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# Keep the aggregate basicstats of each metric passing through.
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# Keep the aggregate basicstats of each metric passing through.
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[[aggregators.basicstats]]
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[[aggregators.basicstats]]
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## General Aggregator Arguments:
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## General Aggregator Arguments:
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## The period on which to flush & clear the aggregator.
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## The period on which to flush & clear the aggregator.
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period = "30s"
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period = "30s"
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## If true, the original metric will be dropped by the
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## If true, the original metric will be dropped by the
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## aggregator and will not get sent to the output plugins.
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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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drop_original = false
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## BasicStats Arguments:
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## Configures which basic stats to push as fields
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stats = ["count","min","max","mean","stdev","s2"]
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```
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```
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- stats
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- If not specified, all stats are aggregated and pushed as fields
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- If empty array, no stats are aggregated
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### Measurements & Fields:
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### Measurements & Fields:
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- measurement1
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- measurement1
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@ -1,6 +1,7 @@
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package basicstats
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package basicstats
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import (
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import (
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"log"
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"math"
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"math"
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"github.com/influxdata/telegraf"
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"github.com/influxdata/telegraf"
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@ -8,10 +9,22 @@ import (
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)
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)
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type BasicStats struct {
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type BasicStats struct {
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Stats []string `toml:"stats"`
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cache map[uint64]aggregate
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cache map[uint64]aggregate
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statsConfig *configuredStats
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}
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}
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func NewBasicStats() telegraf.Aggregator {
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type configuredStats struct {
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count bool
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min bool
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max bool
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mean bool
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variance bool
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stdev bool
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}
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func NewBasicStats() *BasicStats {
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mm := &BasicStats{}
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mm := &BasicStats{}
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mm.Reset()
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mm.Reset()
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return mm
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return mm
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@ -114,23 +127,101 @@ func (m *BasicStats) Add(in telegraf.Metric) {
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}
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}
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func (m *BasicStats) Push(acc telegraf.Accumulator) {
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func (m *BasicStats) Push(acc telegraf.Accumulator) {
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config := getConfiguredStats(m)
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for _, aggregate := range m.cache {
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for _, aggregate := range m.cache {
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fields := map[string]interface{}{}
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fields := map[string]interface{}{}
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for k, v := range aggregate.fields {
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for k, v := range aggregate.fields {
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if config.count {
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fields[k+"_count"] = v.count
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fields[k+"_count"] = v.count
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}
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if config.min {
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fields[k+"_min"] = v.min
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fields[k+"_min"] = v.min
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}
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if config.max {
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fields[k+"_max"] = v.max
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fields[k+"_max"] = v.max
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}
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if config.mean {
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fields[k+"_mean"] = v.mean
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fields[k+"_mean"] = v.mean
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}
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//v.count always >=1
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//v.count always >=1
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if v.count > 1 {
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if v.count > 1 {
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variance := v.M2 / (v.count - 1)
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variance := v.M2 / (v.count - 1)
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if config.variance {
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fields[k+"_s2"] = variance
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fields[k+"_s2"] = variance
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}
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if config.stdev {
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fields[k+"_stdev"] = math.Sqrt(variance)
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fields[k+"_stdev"] = math.Sqrt(variance)
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}
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}
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}
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//if count == 1 StdDev = infinite => so I won't send data
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//if count == 1 StdDev = infinite => so I won't send data
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}
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}
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if len(fields) > 0 {
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acc.AddFields(aggregate.name, fields, aggregate.tags)
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acc.AddFields(aggregate.name, fields, aggregate.tags)
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}
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}
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}
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}
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func parseStats(names []string) *configuredStats {
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parsed := &configuredStats{}
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for _, name := range names {
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switch name {
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case "count":
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parsed.count = true
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case "min":
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parsed.min = true
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case "max":
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parsed.max = true
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case "mean":
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parsed.mean = true
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case "s2":
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parsed.variance = true
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case "stdev":
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parsed.stdev = true
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default:
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log.Printf("W! Unrecognized basic stat '%s', ignoring", name)
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}
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}
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return parsed
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}
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func defaultStats() *configuredStats {
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defaults := &configuredStats{}
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defaults.count = true
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defaults.min = true
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defaults.max = true
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defaults.mean = true
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defaults.variance = true
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defaults.stdev = true
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return defaults
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}
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func getConfiguredStats(m *BasicStats) *configuredStats {
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if m.statsConfig == nil {
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if m.Stats == nil {
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m.statsConfig = defaultStats()
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} else {
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m.statsConfig = parseStats(m.Stats)
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}
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}
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return m.statsConfig
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}
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}
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func (m *BasicStats) Reset() {
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func (m *BasicStats) Reset() {
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@ -149,3 +149,211 @@ func TestBasicStatsDifferentPeriods(t *testing.T) {
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}
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}
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acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
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acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
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}
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}
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// Test only aggregating count
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func TestBasicStatsWithOnlyCount(t *testing.T) {
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aggregator := NewBasicStats()
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aggregator.Stats = []string{"count"}
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aggregator.Add(m1)
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aggregator.Add(m2)
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acc := testutil.Accumulator{}
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aggregator.Push(&acc)
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expectedFields := map[string]interface{}{
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"a_count": float64(2),
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"b_count": float64(2),
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"c_count": float64(2),
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"d_count": float64(2),
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"e_count": float64(1),
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}
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expectedTags := map[string]string{
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"foo": "bar",
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}
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acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
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}
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// Test only aggregating minimum
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func TestBasicStatsWithOnlyMin(t *testing.T) {
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aggregator := NewBasicStats()
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aggregator.Stats = []string{"min"}
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aggregator.Add(m1)
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aggregator.Add(m2)
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acc := testutil.Accumulator{}
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aggregator.Push(&acc)
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expectedFields := map[string]interface{}{
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"a_min": float64(1),
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"b_min": float64(1),
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"c_min": float64(2),
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"d_min": float64(2),
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"e_min": float64(200),
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}
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expectedTags := map[string]string{
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"foo": "bar",
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}
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acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
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}
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// Test only aggregating maximum
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func TestBasicStatsWithOnlyMax(t *testing.T) {
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aggregator := NewBasicStats()
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aggregator.Stats = []string{"max"}
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aggregator.Add(m1)
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aggregator.Add(m2)
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acc := testutil.Accumulator{}
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aggregator.Push(&acc)
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expectedFields := map[string]interface{}{
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"a_max": float64(1),
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"b_max": float64(3),
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"c_max": float64(4),
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"d_max": float64(6),
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"e_max": float64(200),
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}
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expectedTags := map[string]string{
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"foo": "bar",
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}
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acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
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}
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// Test only aggregating mean
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func TestBasicStatsWithOnlyMean(t *testing.T) {
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aggregator := NewBasicStats()
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aggregator.Stats = []string{"mean"}
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aggregator.Add(m1)
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aggregator.Add(m2)
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acc := testutil.Accumulator{}
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aggregator.Push(&acc)
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expectedFields := map[string]interface{}{
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"a_mean": float64(1),
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"b_mean": float64(2),
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"c_mean": float64(3),
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"d_mean": float64(4),
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"e_mean": float64(200),
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}
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expectedTags := map[string]string{
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"foo": "bar",
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}
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acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
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}
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// Test only aggregating variance
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func TestBasicStatsWithOnlyVariance(t *testing.T) {
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aggregator := NewBasicStats()
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aggregator.Stats = []string{"s2"}
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aggregator.Add(m1)
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aggregator.Add(m2)
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acc := testutil.Accumulator{}
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aggregator.Push(&acc)
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expectedFields := map[string]interface{}{
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"a_s2": float64(0),
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"b_s2": float64(2),
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"c_s2": float64(2),
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"d_s2": float64(8),
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}
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expectedTags := map[string]string{
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"foo": "bar",
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}
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acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
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}
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// Test only aggregating standard deviation
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func TestBasicStatsWithOnlyStandardDeviation(t *testing.T) {
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aggregator := NewBasicStats()
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aggregator.Stats = []string{"stdev"}
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aggregator.Add(m1)
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aggregator.Add(m2)
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acc := testutil.Accumulator{}
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aggregator.Push(&acc)
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expectedFields := map[string]interface{}{
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"a_stdev": float64(0),
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"b_stdev": math.Sqrt(2),
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"c_stdev": math.Sqrt(2),
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"d_stdev": math.Sqrt(8),
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}
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expectedTags := map[string]string{
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"foo": "bar",
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}
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acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
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}
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// Test only aggregating minimum and maximum
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func TestBasicStatsWithMinAndMax(t *testing.T) {
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aggregator := NewBasicStats()
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aggregator.Stats = []string{"min", "max"}
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aggregator.Add(m1)
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aggregator.Add(m2)
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acc := testutil.Accumulator{}
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aggregator.Push(&acc)
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expectedFields := map[string]interface{}{
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"a_max": float64(1), //a
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"a_min": float64(1),
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"b_max": float64(3), //b
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"b_min": float64(1),
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"c_max": float64(4), //c
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"c_min": float64(2),
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"d_max": float64(6), //d
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"d_min": float64(2),
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"e_max": float64(200), //e
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"e_min": float64(200),
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}
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expectedTags := map[string]string{
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"foo": "bar",
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}
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acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
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}
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// Test that if an empty array is passed, no points are pushed
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func TestBasicStatsWithNoStats(t *testing.T) {
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aggregator := NewBasicStats()
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aggregator.Stats = []string{}
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aggregator.Add(m1)
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aggregator.Add(m2)
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acc := testutil.Accumulator{}
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aggregator.Push(&acc)
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acc.AssertDoesNotContainMeasurement(t, "m1")
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}
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// Test that if an unknown stat is configured, it doesn't explode
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func TestBasicStatsWithUnknownStat(t *testing.T) {
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aggregator := NewBasicStats()
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aggregator.Stats = []string{"crazy"}
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aggregator.Add(m1)
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aggregator.Add(m2)
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acc := testutil.Accumulator{}
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aggregator.Push(&acc)
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acc.AssertDoesNotContainMeasurement(t, "m1")
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}
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