Add example to topk readme. Fix defaults to skip loop (#5220)
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@ -72,3 +72,36 @@ This processor does not add tags by default. But the setting `add_groupby_tag` w
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### Fields:
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This processor does not add fields by default. But the settings `add_rank_fields` and `add_aggregation_fields` will add one or several fields if set to anything other than ""
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### Example
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**Config**
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```toml
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[[processors.topk]]
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period = 20
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k = 3
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group_by = ["pid"]
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fields = ["cpu_usage"]
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```
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**Output difference with topk**
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```diff
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< procstat,pid=2088,process_name=Xorg cpu_usage=7.296576662282613 1546473820000000000
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< procstat,pid=2780,process_name=ibus-engine-simple cpu_usage=0 1546473820000000000
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< procstat,pid=2554,process_name=gsd-sound cpu_usage=0 1546473820000000000
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< procstat,pid=3484,process_name=chrome cpu_usage=4.274300361942799 1546473820000000000
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< procstat,pid=2467,process_name=gnome-shell-calendar-server cpu_usage=0 1546473820000000000
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< procstat,pid=2525,process_name=gvfs-goa-volume-monitor cpu_usage=0 1546473820000000000
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< procstat,pid=2888,process_name=gnome-terminal-server cpu_usage=1.0224991500287577 1546473820000000000
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< procstat,pid=2454,process_name=ibus-x11 cpu_usage=0 1546473820000000000
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< procstat,pid=2564,process_name=gsd-xsettings cpu_usage=0 1546473820000000000
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< procstat,pid=12184,process_name=docker cpu_usage=0 1546473820000000000
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< procstat,pid=2432,process_name=pulseaudio cpu_usage=9.892858669796528 1546473820000000000
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---
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> procstat,pid=2432,process_name=pulseaudio cpu_usage=11.486933087507786 1546474120000000000
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> procstat,pid=2432,process_name=pulseaudio cpu_usage=10.056503212060552 1546474130000000000
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> procstat,pid=23620,process_name=chrome cpu_usage=2.098690278123081 1546474120000000000
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> procstat,pid=23620,process_name=chrome cpu_usage=17.52514619948493 1546474130000000000
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> procstat,pid=2088,process_name=Xorg cpu_usage=1.6016732172309973 1546474120000000000
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> procstat,pid=2088,process_name=Xorg cpu_usage=8.481040931533833 1546474130000000000
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```
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@ -43,8 +43,8 @@ func New() *TopK {
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topk.Aggregation = "mean"
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topk.GroupBy = []string{"*"}
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topk.AddGroupByTag = ""
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topk.AddRankFields = []string{""}
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topk.AddAggregateFields = []string{""}
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topk.AddRankFields = []string{}
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topk.AddAggregateFields = []string{}
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// Initialize cache
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topk.Reset()
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@ -203,7 +203,9 @@ func (t *TopK) Apply(in ...telegraf.Metric) []telegraf.Metric {
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if t.aggFieldSet == nil {
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t.aggFieldSet = make(map[string]bool)
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for _, f := range t.AddAggregateFields {
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t.aggFieldSet[f] = true
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if f != "" {
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t.aggFieldSet[f] = true
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}
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}
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}
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@ -279,7 +281,6 @@ func (t *TopK) push() []telegraf.Metric {
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// Get the top K metrics for each field and add them to the return value
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addedKeys := make(map[string]bool)
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groupTag := t.AddGroupByTag
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for _, field := range t.Fields {
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// Sort the aggregations
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@ -288,9 +289,8 @@ func (t *TopK) push() []telegraf.Metric {
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// Create a one dimensional list with the top K metrics of each key
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for i, ag := range aggregations[0:min(t.K, len(aggregations))] {
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// Check whether of not we need to add fields of tags to the selected metrics
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if len(t.aggFieldSet) != 0 || len(t.rankFieldSet) != 0 || groupTag != "" {
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if len(t.aggFieldSet) != 0 || len(t.rankFieldSet) != 0 || t.AddGroupByTag != "" {
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for _, m := range t.cache[ag.groupbykey] {
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// Add the aggregation final value if requested
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_, addAggField := t.aggFieldSet[field]
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if addAggField && m.HasField(field) {
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@ -330,7 +330,6 @@ func (t *TopK) push() []telegraf.Metric {
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// Function that generates the aggregation functions
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func (t *TopK) getAggregationFunction(aggOperation string) (func([]telegraf.Metric, []string) map[string]float64, error) {
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// This is a function aggregates a set of metrics using a given aggregation function
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var aggregator = func(ms []telegraf.Metric, fields []string, f func(map[string]float64, float64, string)) map[string]float64 {
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agg := make(map[string]float64)
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