Adding upstream version 1.34.4.
Signed-off-by: Daniel Baumann <daniel@debian.org>
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56
plugins/aggregators/minmax/README.md
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56
plugins/aggregators/minmax/README.md
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# Minimum-Maximum Aggregator Plugin
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This plugin aggregates the minimum and maximum values of each field it sees,
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emitting the aggrate every `period` seconds with field names suffixed by `_min`
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and `_max` respectively.
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⭐ Telegraf v1.1.0
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🏷️ statistics
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💻 all
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## Global configuration options <!-- @/docs/includes/plugin_config.md -->
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In addition to the plugin-specific configuration settings, plugins support
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additional global and plugin configuration settings. These settings are used to
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modify metrics, tags, and field or create aliases and configure ordering, etc.
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See the [CONFIGURATION.md][CONFIGURATION.md] for more details.
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[CONFIGURATION.md]: ../../../docs/CONFIGURATION.md#plugins
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## Configuration
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```toml @sample.conf
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# Keep the aggregate min/max of each metric passing through.
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[[aggregators.minmax]]
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## General Aggregator Arguments:
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## The period on which to flush & clear the aggregator.
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# period = "30s"
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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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# drop_original = false
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```
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## Measurements & Fields
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- measurement1
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- field1_max
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- field1_min
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## Tags
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No tags are applied by this aggregator.
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## Example Output
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```text
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system,host=tars load1=1.72 1475583980000000000
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system,host=tars load1=1.6 1475583990000000000
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system,host=tars load1=1.66 1475584000000000000
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system,host=tars load1=1.63 1475584010000000000
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system,host=tars load1_max=1.72,load1_min=1.6 1475584010000000000
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system,host=tars load1=1.46 1475584020000000000
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system,host=tars load1=1.39 1475584030000000000
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system,host=tars load1=1.41 1475584040000000000
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system,host=tars load1_max=1.46,load1_min=1.39 1475584040000000000
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```
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114
plugins/aggregators/minmax/minmax.go
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114
plugins/aggregators/minmax/minmax.go
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@ -0,0 +1,114 @@
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//go:generate ../../../tools/readme_config_includer/generator
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package minmax
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import (
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_ "embed"
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"github.com/influxdata/telegraf"
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"github.com/influxdata/telegraf/plugins/aggregators"
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)
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//go:embed sample.conf
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var sampleConfig string
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type MinMax struct {
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cache map[uint64]aggregate
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}
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func NewMinMax() telegraf.Aggregator {
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mm := &MinMax{}
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mm.Reset()
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return mm
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}
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type aggregate struct {
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fields map[string]minmax
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name string
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tags map[string]string
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}
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type minmax struct {
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min float64
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max float64
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}
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func (*MinMax) SampleConfig() string {
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return sampleConfig
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}
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func (m *MinMax) Add(in telegraf.Metric) {
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id := in.HashID()
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if _, ok := m.cache[id]; !ok {
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// hit an uncached metric, create caches for first time:
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a := aggregate{
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name: in.Name(),
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tags: in.Tags(),
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fields: make(map[string]minmax),
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}
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for k, v := range in.Fields() {
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if fv, ok := convert(v); ok {
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a.fields[k] = minmax{
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min: fv,
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max: fv,
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}
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}
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}
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m.cache[id] = a
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} else {
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for k, v := range in.Fields() {
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if fv, ok := convert(v); ok {
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if _, ok := m.cache[id].fields[k]; !ok {
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// hit an uncached field of a cached metric
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m.cache[id].fields[k] = minmax{
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min: fv,
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max: fv,
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}
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continue
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}
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if fv < m.cache[id].fields[k].min {
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tmp := m.cache[id].fields[k]
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tmp.min = fv
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m.cache[id].fields[k] = tmp
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} else if fv > m.cache[id].fields[k].max {
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tmp := m.cache[id].fields[k]
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tmp.max = fv
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m.cache[id].fields[k] = tmp
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}
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}
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}
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}
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}
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func (m *MinMax) Push(acc telegraf.Accumulator) {
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for _, aggregate := range m.cache {
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fields := make(map[string]interface{}, len(aggregate.fields))
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for k, v := range aggregate.fields {
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fields[k+"_min"] = v.min
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fields[k+"_max"] = v.max
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}
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acc.AddFields(aggregate.name, fields, aggregate.tags)
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}
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}
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func (m *MinMax) Reset() {
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m.cache = make(map[uint64]aggregate)
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}
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func convert(in interface{}) (float64, bool) {
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switch v := in.(type) {
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case float64:
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return v, true
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case int64:
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return float64(v), true
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case uint64:
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return float64(v), true
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default:
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return 0, false
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}
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}
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func init() {
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aggregators.Add("minmax", func() telegraf.Aggregator {
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return NewMinMax()
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})
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}
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167
plugins/aggregators/minmax/minmax_test.go
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167
plugins/aggregators/minmax/minmax_test.go
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package minmax
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import (
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"testing"
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"time"
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"github.com/influxdata/telegraf/metric"
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"github.com/influxdata/telegraf/testutil"
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)
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var m1 = metric.New("m1",
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map[string]string{"foo": "bar"},
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map[string]interface{}{
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"a": int64(1),
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"b": int64(1),
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"c": int64(1),
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"d": int64(1),
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"e": int64(1),
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"f": float64(2),
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"g": float64(2),
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"h": float64(2),
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"i": float64(2),
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"j": float64(3),
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},
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time.Now(),
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)
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var m2 = metric.New("m1",
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map[string]string{"foo": "bar"},
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map[string]interface{}{
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"a": int64(1),
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"b": int64(3),
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"c": int64(3),
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"d": int64(3),
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"e": int64(3),
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"f": float64(1),
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"g": float64(1),
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"h": float64(1),
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"i": float64(1),
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"j": float64(1),
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"k": float64(200),
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"l": uint64(200),
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"ignoreme": "string",
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"andme": true,
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},
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time.Now(),
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)
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func BenchmarkApply(b *testing.B) {
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minmax := NewMinMax()
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for n := 0; n < b.N; n++ {
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minmax.Add(m1)
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minmax.Add(m2)
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}
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}
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// Test two metrics getting added.
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func TestMinMaxWithPeriod(t *testing.T) {
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acc := testutil.Accumulator{}
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minmax := NewMinMax()
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minmax.Add(m1)
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minmax.Add(m2)
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minmax.Push(&acc)
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expectedFields := map[string]interface{}{
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"a_max": float64(1),
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"a_min": float64(1),
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"b_max": float64(3),
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"b_min": float64(1),
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"c_max": float64(3),
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"c_min": float64(1),
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"d_max": float64(3),
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"d_min": float64(1),
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"e_max": float64(3),
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"e_min": float64(1),
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"f_max": float64(2),
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"f_min": float64(1),
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"g_max": float64(2),
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"g_min": float64(1),
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"h_max": float64(2),
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"h_min": float64(1),
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"i_max": float64(2),
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"i_min": float64(1),
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"j_max": float64(3),
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"j_min": float64(1),
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"k_max": float64(200),
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"k_min": float64(200),
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"l_max": float64(200),
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"l_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 two metrics getting added with a push/reset in between (simulates
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// getting added in different periods.)
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func TestMinMaxDifferentPeriods(t *testing.T) {
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acc := testutil.Accumulator{}
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minmax := NewMinMax()
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minmax.Add(m1)
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minmax.Push(&acc)
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expectedFields := map[string]interface{}{
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"a_max": float64(1),
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"a_min": float64(1),
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"b_max": float64(1),
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"b_min": float64(1),
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"c_max": float64(1),
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"c_min": float64(1),
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"d_max": float64(1),
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"d_min": float64(1),
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"e_max": float64(1),
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"e_min": float64(1),
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"f_max": float64(2),
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"f_min": float64(2),
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"g_max": float64(2),
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"g_min": float64(2),
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"h_max": float64(2),
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"h_min": float64(2),
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"i_max": float64(2),
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"i_min": float64(2),
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"j_max": float64(3),
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"j_min": float64(3),
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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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acc.ClearMetrics()
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minmax.Reset()
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minmax.Add(m2)
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minmax.Push(&acc)
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expectedFields = map[string]interface{}{
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"a_max": float64(1),
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"a_min": float64(1),
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"b_max": float64(3),
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"b_min": float64(3),
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"c_max": float64(3),
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"c_min": float64(3),
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"d_max": float64(3),
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"d_min": float64(3),
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"e_max": float64(3),
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"e_min": float64(3),
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"f_max": float64(1),
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"f_min": float64(1),
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"g_max": float64(1),
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"g_min": float64(1),
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"h_max": float64(1),
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"h_min": float64(1),
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"i_max": float64(1),
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"i_min": float64(1),
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"j_max": float64(1),
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"j_min": float64(1),
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"k_max": float64(200),
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"k_min": float64(200),
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"l_max": float64(200),
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"l_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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9
plugins/aggregators/minmax/sample.conf
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9
plugins/aggregators/minmax/sample.conf
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@ -0,0 +1,9 @@
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# Keep the aggregate min/max of each metric passing through.
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[[aggregators.minmax]]
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## General Aggregator Arguments:
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## The period on which to flush & clear the aggregator.
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# period = "30s"
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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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# drop_original = false
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