package seriesgrouper import ( "time" "github.com/influxdata/telegraf" "github.com/influxdata/telegraf/metric" "github.com/influxdata/telegraf/plugins/aggregators" ) const ( description = "Merge metrics into multifield metrics by series key" sampleConfig = "" ) type Merge struct { grouper *metric.SeriesGrouper log telegraf.Logger } func (a *Merge) Init() error { a.grouper = metric.NewSeriesGrouper() return nil } func (a *Merge) Description() string { return description } func (a *Merge) SampleConfig() string { return sampleConfig } func (a *Merge) Add(m telegraf.Metric) { tags := m.Tags() for _, field := range m.FieldList() { err := a.grouper.Add(m.Name(), tags, m.Time(), field.Key, field.Value) if err != nil { a.log.Errorf("Error adding metric: %v", err) } } } func (a *Merge) Push(acc telegraf.Accumulator) { // Always use nanosecond precision to avoid rounding metrics that were // produced at a precision higher than the agent default. acc.SetPrecision(time.Nanosecond) for _, m := range a.grouper.Metrics() { acc.AddMetric(m) } } func (a *Merge) Reset() { a.grouper = metric.NewSeriesGrouper() } func init() { aggregators.Add("merge", func() telegraf.Aggregator { return &Merge{} }) }