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Commit fcc9c82d authored by Jeff Ashton's avatar Jeff Ashton Committed by Daniel Nelson
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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.
```toml
# Keep the aggregate basicstats of each metric passing through.
[[aggregators.basicstats]]
## General Aggregator Arguments:
## The period on which to flush & clear the aggregator.
period = "30s"
## If true, the original metric will be dropped by the
## aggregator and will not get sent to the output plugins.
drop_original = false
## BasicStats Arguments:
## Configures which basic stats to push as fields
stats = ["count","min","max","mean","stdev","s2"]
```
- stats
- If not specified, all stats are aggregated and pushed as fields
- If empty array, no stats are aggregated
### Measurements & Fields:
- measurement1
......
package basicstats
import (
"log"
"math"
"github.com/influxdata/telegraf"
......@@ -8,10 +9,22 @@ import (
)
type BasicStats struct {
cache map[uint64]aggregate
Stats []string `toml:"stats"`
cache map[uint64]aggregate
statsConfig *configuredStats
}
type configuredStats struct {
count bool
min bool
max bool
mean bool
variance bool
stdev bool
}
func NewBasicStats() telegraf.Aggregator {
func NewBasicStats() *BasicStats {
mm := &BasicStats{}
mm.Reset()
return mm
......@@ -114,23 +127,101 @@ func (m *BasicStats) Add(in telegraf.Metric) {
}
func (m *BasicStats) Push(acc telegraf.Accumulator) {
config := getConfiguredStats(m)
for _, aggregate := range m.cache {
fields := map[string]interface{}{}
for k, v := range aggregate.fields {
fields[k+"_count"] = v.count
fields[k+"_min"] = v.min
fields[k+"_max"] = v.max
fields[k+"_mean"] = v.mean
if config.count {
fields[k+"_count"] = v.count
}
if config.min {
fields[k+"_min"] = v.min
}
if config.max {
fields[k+"_max"] = v.max
}
if config.mean {
fields[k+"_mean"] = v.mean
}
//v.count always >=1
if v.count > 1 {
variance := v.M2 / (v.count - 1)
fields[k+"_s2"] = variance
fields[k+"_stdev"] = math.Sqrt(variance)
if config.variance {
fields[k+"_s2"] = variance
}
if config.stdev {
fields[k+"_stdev"] = math.Sqrt(variance)
}
}
//if count == 1 StdDev = infinite => so I won't send data
}
acc.AddFields(aggregate.name, fields, aggregate.tags)
if len(fields) > 0 {
acc.AddFields(aggregate.name, fields, aggregate.tags)
}
}
}
func parseStats(names []string) *configuredStats {
parsed := &configuredStats{}
for _, name := range names {
switch name {
case "count":
parsed.count = true
case "min":
parsed.min = true
case "max":
parsed.max = true
case "mean":
parsed.mean = true
case "s2":
parsed.variance = true
case "stdev":
parsed.stdev = true
default:
log.Printf("W! Unrecognized basic stat '%s', ignoring", name)
}
}
return parsed
}
func defaultStats() *configuredStats {
defaults := &configuredStats{}
defaults.count = true
defaults.min = true
defaults.max = true
defaults.mean = true
defaults.variance = true
defaults.stdev = true
return defaults
}
func getConfiguredStats(m *BasicStats) *configuredStats {
if m.statsConfig == nil {
if m.Stats == nil {
m.statsConfig = defaultStats()
} else {
m.statsConfig = parseStats(m.Stats)
}
}
return m.statsConfig
}
func (m *BasicStats) Reset() {
......
......@@ -149,3 +149,211 @@ func TestBasicStatsDifferentPeriods(t *testing.T) {
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating count
func TestBasicStatsWithOnlyCount(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"count"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_count": float64(2),
"b_count": float64(2),
"c_count": float64(2),
"d_count": float64(2),
"e_count": float64(1),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating minimum
func TestBasicStatsWithOnlyMin(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"min"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_min": float64(1),
"b_min": float64(1),
"c_min": float64(2),
"d_min": float64(2),
"e_min": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating maximum
func TestBasicStatsWithOnlyMax(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"max"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_max": float64(1),
"b_max": float64(3),
"c_max": float64(4),
"d_max": float64(6),
"e_max": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating mean
func TestBasicStatsWithOnlyMean(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"mean"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_mean": float64(1),
"b_mean": float64(2),
"c_mean": float64(3),
"d_mean": float64(4),
"e_mean": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating variance
func TestBasicStatsWithOnlyVariance(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"s2"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_s2": float64(0),
"b_s2": float64(2),
"c_s2": float64(2),
"d_s2": float64(8),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating standard deviation
func TestBasicStatsWithOnlyStandardDeviation(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"stdev"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_stdev": float64(0),
"b_stdev": math.Sqrt(2),
"c_stdev": math.Sqrt(2),
"d_stdev": math.Sqrt(8),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating minimum and maximum
func TestBasicStatsWithMinAndMax(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"min", "max"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_max": float64(1), //a
"a_min": float64(1),
"b_max": float64(3), //b
"b_min": float64(1),
"c_max": float64(4), //c
"c_min": float64(2),
"d_max": float64(6), //d
"d_min": float64(2),
"e_max": float64(200), //e
"e_min": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test that if an empty array is passed, no points are pushed
func TestBasicStatsWithNoStats(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
acc.AssertDoesNotContainMeasurement(t, "m1")
}
// Test that if an unknown stat is configured, it doesn't explode
func TestBasicStatsWithUnknownStat(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"crazy"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
acc.AssertDoesNotContainMeasurement(t, "m1")
}
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