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Add example to topk readme. Fix defaults to skip loop (influxdata#5220)
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glinton authored and Jean-Louis Dupond committed Apr 22, 2019
1 parent c902e04 commit d7a2046
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33 changes: 33 additions & 0 deletions plugins/processors/topk/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -72,3 +72,36 @@ This processor does not add tags by default. But the setting `add_groupby_tag` w
### Fields:

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 ""


### Example
**Config**
```toml
[[processors.topk]]
period = 20
k = 3
group_by = ["pid"]
fields = ["cpu_usage"]
```

**Output difference with topk**
```diff
< procstat,pid=2088,process_name=Xorg cpu_usage=7.296576662282613 1546473820000000000
< procstat,pid=2780,process_name=ibus-engine-simple cpu_usage=0 1546473820000000000
< procstat,pid=2554,process_name=gsd-sound cpu_usage=0 1546473820000000000
< procstat,pid=3484,process_name=chrome cpu_usage=4.274300361942799 1546473820000000000
< procstat,pid=2467,process_name=gnome-shell-calendar-server cpu_usage=0 1546473820000000000
< procstat,pid=2525,process_name=gvfs-goa-volume-monitor cpu_usage=0 1546473820000000000
< procstat,pid=2888,process_name=gnome-terminal-server cpu_usage=1.0224991500287577 1546473820000000000
< procstat,pid=2454,process_name=ibus-x11 cpu_usage=0 1546473820000000000
< procstat,pid=2564,process_name=gsd-xsettings cpu_usage=0 1546473820000000000
< procstat,pid=12184,process_name=docker cpu_usage=0 1546473820000000000
< procstat,pid=2432,process_name=pulseaudio cpu_usage=9.892858669796528 1546473820000000000
---
> procstat,pid=2432,process_name=pulseaudio cpu_usage=11.486933087507786 1546474120000000000
> procstat,pid=2432,process_name=pulseaudio cpu_usage=10.056503212060552 1546474130000000000
> procstat,pid=23620,process_name=chrome cpu_usage=2.098690278123081 1546474120000000000
> procstat,pid=23620,process_name=chrome cpu_usage=17.52514619948493 1546474130000000000
> procstat,pid=2088,process_name=Xorg cpu_usage=1.6016732172309973 1546474120000000000
> procstat,pid=2088,process_name=Xorg cpu_usage=8.481040931533833 1546474130000000000
```
13 changes: 6 additions & 7 deletions plugins/processors/topk/topk.go
Original file line number Diff line number Diff line change
Expand Up @@ -43,8 +43,8 @@ func New() *TopK {
topk.Aggregation = "mean"
topk.GroupBy = []string{"*"}
topk.AddGroupByTag = ""
topk.AddRankFields = []string{""}
topk.AddAggregateFields = []string{""}
topk.AddRankFields = []string{}
topk.AddAggregateFields = []string{}

// Initialize cache
topk.Reset()
Expand Down Expand Up @@ -203,7 +203,9 @@ func (t *TopK) Apply(in ...telegraf.Metric) []telegraf.Metric {
if t.aggFieldSet == nil {
t.aggFieldSet = make(map[string]bool)
for _, f := range t.AddAggregateFields {
t.aggFieldSet[f] = true
if f != "" {
t.aggFieldSet[f] = true
}
}
}

Expand Down Expand Up @@ -279,7 +281,6 @@ func (t *TopK) push() []telegraf.Metric {

// Get the top K metrics for each field and add them to the return value
addedKeys := make(map[string]bool)
groupTag := t.AddGroupByTag
for _, field := range t.Fields {

// Sort the aggregations
Expand All @@ -288,9 +289,8 @@ func (t *TopK) push() []telegraf.Metric {
// Create a one dimensional list with the top K metrics of each key
for i, ag := range aggregations[0:min(t.K, len(aggregations))] {
// Check whether of not we need to add fields of tags to the selected metrics
if len(t.aggFieldSet) != 0 || len(t.rankFieldSet) != 0 || groupTag != "" {
if len(t.aggFieldSet) != 0 || len(t.rankFieldSet) != 0 || t.AddGroupByTag != "" {
for _, m := range t.cache[ag.groupbykey] {

// Add the aggregation final value if requested
_, addAggField := t.aggFieldSet[field]
if addAggField && m.HasField(field) {
Expand Down Expand Up @@ -330,7 +330,6 @@ func (t *TopK) push() []telegraf.Metric {

// Function that generates the aggregation functions
func (t *TopK) getAggregationFunction(aggOperation string) (func([]telegraf.Metric, []string) map[string]float64, error) {

// This is a function aggregates a set of metrics using a given aggregation function
var aggregator = func(ms []telegraf.Metric, fields []string, f func(map[string]float64, float64, string)) map[string]float64 {
agg := make(map[string]float64)
Expand Down

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